SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1	movie_platform
SELECT movie_title, movie_release_year, director_name FROM movies ORDER BY movie_popularity DESC LIMIT 1 	movie_platform
SELECT movie_title, movie_release_year FROM movies ORDER BY LENGTH(movie_popularity) DESC LIMIT 1	movie_platform
SELECT movie_title FROM movies GROUP BY movie_title ORDER BY COUNT(movie_title) DESC LIMIT 1	movie_platform
SELECT AVG(movie_popularity) FROM movies WHERE director_name = 'Stanley Kubrick'	movie_platform
SELECT AVG(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'When Will I Be Loved'	movie_platform
SELECT T3.user_avatar_image_url, T3.rating_date_utc FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T3.user_id = T2.user_id WHERE T3.user_id = 41579158 ORDER BY T3.rating_date_utc DESC LIMIT 1	movie_platform
SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings	movie_platform
SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%'	movie_platform
SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 1	movie_platform
SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(SUBSTR(T1.rating_timestamp_utc, 1, 4) AS INTEGER) = 2020 AND CAST(SUBSTR(T1.rating_timestamp_utc, 6, 2) AS INTEGER) > 4	movie_platform
SELECT T2.movie_title, T1.user_id, T1.rating_score, T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic IS NOT NULL	movie_platform
SELECT CAST(SUM(CASE WHEN T2.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Welcome to the Dollhouse'	movie_platform
SELECT CAST(SUM(CASE WHEN T1.movie_release_year = 2021 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id	movie_platform
SELECT director_name FROM movies WHERE movie_title = 'Sex, Drink and Bloodshed'	movie_platform
SELECT list_title FROM lists ORDER BY list_followers DESC LIMIT 1	movie_platform
SELECT list_url FROM lists WHERE list_update_timestamp_utc LIKE '2012%' AND list_followers BETWEEN 1 AND 2 ORDER BY list_update_timestamp_utc DESC LIMIT 1	movie_platform
SELECT list_id FROM lists_users WHERE user_id = 85981819 ORDER BY list_creation_date_utc ASC LIMIT 1	movie_platform
SELECT COUNT(*) FROM ratings WHERE movie_id = 1269 AND rating_score <= 2 AND user_eligible_for_trial = 1 AND user_has_payment_method = 1	movie_platform
SELECT movie_title, movie_popularity FROM movies WHERE movie_release_year = 2021 AND director_name = 'Steven Spielberg'	movie_platform
SELECT movie_release_year, director_name FROM movies WHERE movie_release_year IS NOT NULL ORDER BY movie_release_year ASC LIMIT 1	movie_platform
SELECT user_id FROM lists_users WHERE user_subscriber = 1 GROUP BY user_id HAVING MAX(SUBSTR(list_creation_date_utc, 1, 4)) - MIN(SUBSTR(list_creation_date_utc, 1, 4)) >= 10	movie_platform
SELECT COUNT(T2.user_id) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'Pavee Lackeen: The Traveller Girl' AND T2.rating_score = 4	movie_platform
SELECT T2.user_eligible_for_trial, T1.list_followers FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T1.user_id AND T1.list_id = T2.list_id WHERE T1.list_title = 'World War 2 and Kids'	movie_platform
SELECT T2.movie_release_year, T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_id = ( SELECT movie_id FROM movies WHERE director_name = 'Quentin Tarantino' ORDER BY movie_release_year ASC LIMIT 2, 1 ) AND T1.rating_score = 4	movie_platform
SELECT T2.director_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 2452551 AND T1.critic_likes = 39	movie_platform
SELECT AVG(T1.rating_score), T2.director_name FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved'	movie_platform
SELECT T1.list_movie_number, T2.user_has_payment_method FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id ORDER BY T1.list_movie_number DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.critic_likes DESC LIMIT 1	movie_platform
SELECT MAX(T2.movie_popularity), MIN(T1.rating_timestamp_utc) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1920 AND 1929 AND T1.rating_score = 1 AND T1.user_has_payment_method = 1	movie_platform
SELECT COUNT(T2.movie_title), T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.director_name = 'Francis Ford Coppola' AND T2.movie_popularity > 1000	movie_platform
SELECT T2.user_avatar_image_url FROM ratings AS T1 INNER JOIN ratings_users AS T2 ON T1.user_id = T2.user_id WHERE T2.user_id = 1103 AND rating_score = 5 AND T2.rating_date_utc = '2020-04-19'	movie_platform
SELECT T1.list_followers, T2.user_subscriber = 1 FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND T2.list_id = T2.list_id WHERE T2.user_id = 4208563 ORDER BY T1.list_followers DESC LIMIT 1	movie_platform
SELECT DISTINCT T1.movie_release_year, T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_release_year = ( SELECT movie_release_year FROM movies GROUP BY movie_release_year ORDER BY COUNT(movie_id) DESC LIMIT 1 ) AND T2.rating_score = 1	movie_platform
SELECT COUNT(T2.user_id) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_release_year = 1924 AND T1.director_name = 'Erich von Stroheim' AND T2.rating_score = 5 AND T2.user_has_payment_method = 1	movie_platform
SELECT AVG(T1.list_movie_number), T2.user_avatar_image_url FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T2.user_id = 8516503	movie_platform
SELECT COUNT(T2.user_id), T2.rating_url FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'The Magnificent Ambersons' AND T2.rating_score <= 2	movie_platform
SELECT T1.list_followers FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id AND T1.list_id = T2.list_id WHERE T2.list_creation_date_utc BETWEEN '2016-02-01' AND '2016-02-29' AND T2.user_eligible_for_trial = 1	movie_platform
SELECT T2.rating_url FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_id = 22030372 AND T2.rating_score = 5 AND T1.movie_title = 'Riff-Raff'	movie_platform
SELECT T2.director_name FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1960 AND 1985 GROUP BY T2.director_name HAVING COUNT(T2.movie_id) > 10	movie_platform
SELECT COUNT(T2.user_id) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 0 AND T2.rating_score <= 2 AND T1.movie_title = 'The South'	movie_platform
SELECT T2.critic_likes FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 0 AND T2.rating_score = 5 AND T1.movie_title = 'Apocalypse Now'	movie_platform
SELECT AVG(T2.rating_score), T1.director_name FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_title = 'The Crowd'	movie_platform
SELECT MIN(movie_release_year) FROM movies WHERE director_name = ( SELECT T2.director_name FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1960 AND 1985 GROUP BY T2.director_name ORDER BY COUNT(T2.director_name) DESC LIMIT 1 )	movie_platform
SELECT T1.movie_title, MAX(T2.rating_score) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T1.movie_popularity BETWEEN 400 AND 500 GROUP BY T1.movie_title	movie_platform
SELECT T2.rating_url FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_id = 45579900 AND T1.movie_title = 'The Vertical Ray of the Sun' AND T2.critic_likes = 20	movie_platform
SELECT AVG(T2.movie_popularity) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.director_name = 'Christopher Nolan'	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists AS T3 ON T3.user_id = T1.user_id WHERE T1.rating_timestamp_utc BETWEEN '2013-01-01' AND '2013-12-31' AND T3.list_title = '100 Greatest Living American Filmmakers'	movie_platform
SELECT AVG(T1.rating_score), T2.movie_release_year FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Pavee Lackeen: The Traveller Girl'	movie_platform
SELECT COUNT(*) FROM lists WHERE SUBSTR(list_update_timestamp_utc, 1, 4) - SUBSTR(list_creation_timestamp_utc, 1, 4) > 10	movie_platform
SELECT list_description FROM lists WHERE list_title = 'Short and pretty damn sweet'	movie_platform
SELECT list_url FROM lists WHERE list_title = 'Short and pretty damn sweet'	movie_platform
SELECT COUNT(*) FROM lists WHERE list_followers > 200 AND list_update_timestamp_utc > '2010-01-01'	movie_platform
SELECT COUNT(*) FROM lists_users WHERE user_id = 83373278 AND user_subscriber = 1	movie_platform
SELECT movie_release_year FROM movies WHERE movie_title = 'La Antena'	movie_platform
SELECT movie_url FROM movies WHERE movie_title = 'La Antena'	movie_platform
SELECT movie_title FROM movies WHERE movie_title = 'The General' OR movie_title = 'Il grido' ORDER BY movie_popularity DESC LIMIT 1	movie_platform
SELECT COUNT(movie_id) FROM movies WHERE director_name = 'Hong Sang-soo'	movie_platform
SELECT T2.user_trialist FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.list_title = '250 Favourite Films'	movie_platform
SELECT T1.list_title FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 32172230 AND T2.user_eligible_for_trial = 1	movie_platform
SELECT COUNT(*) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 85981819 AND T1.list_movie_number > 100 AND T2.user_has_payment_method = 1	movie_platform
SELECT T1.list_description FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 85981819 ORDER BY T1.list_followers DESC LIMIT 1	movie_platform
SELECT T2.list_update_date_utc FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.list_title = '250 Favourite Films' ORDER BY T2.list_update_date_utc DESC LIMIT 1	movie_platform
SELECT T2.user_avatar_image_url FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.list_title = '250 Favourite Films'	movie_platform
SELECT COUNT(list_id) FROM lists_users WHERE user_id = ( SELECT user_id FROM lists WHERE list_title = '250 Favourite Films' )	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.rating_score = 5	movie_platform
SELECT T1.critic FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life'	movie_platform
SELECT COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Imitation of Life' AND T1.critic_likes > 1	movie_platform
SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.critic_comments = 2	movie_platform
SELECT T1.rating_score FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.user_id = 39115684	movie_platform
SELECT T1.rating_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.user_id = 39115684	movie_platform
SELECT T1.user_trialist FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.user_id = 39115684	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.user_trialist = 1	movie_platform
SELECT T1.rating_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.critic IS NOT NULL	movie_platform
SELECT COUNT(rating_id) FROM ratings WHERE movie_id = ( SELECT movie_id FROM movies ORDER BY movie_popularity DESC LIMIT 1 )	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 58149469 AND T1.critic_likes = 1 AND T1.critic_comments = 2	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.rating_score = 1 AND T1.user_trialist = 1	movie_platform
SELECT COUNT(T1.rating_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life' AND T1.rating_timestamp_utc >= '2012-01-01'	movie_platform
SELECT T1.rating_score FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists AS T3 ON T3.user_id = T1.user_id WHERE T2.movie_title = 'Innocence Unprotected' AND T3.list_title = '250 Favourite Films'	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists AS T3 ON T3.user_id = T1.user_id WHERE T3.list_title = '250 Favourite Films'	movie_platform
SELECT AVG(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'A Way of Life'	movie_platform
SELECT CAST(SUM(CASE WHEN T1.rating_score = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved'	movie_platform
SELECT SUM(CASE WHEN T2.movie_title = 'Innocence Unprotected' THEN T1.rating_score ELSE 0 END) / SUM(CASE WHEN T2.movie_title = 'Innocence Unprotected' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.movie_title = 'When Will I Be Loved' THEN T1.rating_score ELSE 0 END) / SUM(CASE WHEN T2.movie_title = 'When Will I Be Loved' THEN 1 ELSE 0 END) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id	movie_platform
SELECT director_name FROM movies WHERE movie_title = 'Tokyo Eyes'	movie_platform
SELECT COUNT(*) FROM movies WHERE movie_release_year = 2007	movie_platform
SELECT movie_title FROM movies WHERE movie_release_year = 2006 ORDER BY movie_popularity DESC LIMIT 1	movie_platform
SELECT COUNT(movie_title) FROM movies WHERE director_name = 'Åke Sandgren'	movie_platform
SELECT movie_title FROM movies WHERE director_name = 'Åke Sandgren' ORDER BY movie_popularity DESC LIMIT 1	movie_platform
SELECT movie_release_year FROM movies WHERE movie_title = 'Cops'	movie_platform
SELECT director_id FROM movies WHERE movie_title = 'It''s Winter'	movie_platform
SELECT user_id FROM lists ORDER BY list_followers DESC LIMIT 1	movie_platform
SELECT list_title FROM lists GROUP BY list_title ORDER BY COUNT(list_comments) DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year = 2008 ORDER BY T1.rating_score DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.critic_likes DESC LIMIT 3	movie_platform
SELECT COUNT(T1.user_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers > 100 AND T1.list_creation_date_utc LIKE '2009%'	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5 AND T2.movie_title = 'White Night Wedding'	movie_platform
SELECT T1.user_cover_image_url FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_title LIKE 'Georgia related films'	movie_platform
SELECT SUM(T2.list_followers) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_avatar_image_url = 'https://assets.mubicdn.net/images/avatars/74983/images-w150.jpg?1523895214'	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5 AND T1.user_id = 94978	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year = 2003 AND T1.user_id = 2941	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Patti Smith: Dream of Life' AND T1.user_trialist = 0	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id GROUP BY T2.movie_title ORDER BY SUM(T1.rating_score) / COUNT(T1.rating_id) DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.critic_comments DESC LIMIT 3	movie_platform
SELECT T2.list_title, T1.user_avatar_image_url FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_id = 85981819 ORDER BY T2.list_creation_timestamp_utc LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_timestamp_utc LIKE '2020%' GROUP BY T2.movie_title ORDER BY COUNT(T2.movie_title) DESC LIMIT 1	movie_platform
SELECT AVG(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title LIKE 'Versailles Rive-Gauche'	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 59988436 AND T1.critic_comments = 21	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.critic_likes > 20	movie_platform
SELECT SUM(T1.rating_score) / COUNT(T1.rating_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_timestamp_utc LIKE '2019%' AND T2.movie_title LIKE 'The Fall of Berlin'	movie_platform
SELECT CAST(SUM(CASE WHEN T1.rating_score > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title LIKE 'Patti Smith: Dream of Life'	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.director_name = 'Abbas Kiarostami' GROUP BY T2.movie_title ORDER BY SUM(T1.rating_score) / COUNT(T1.rating_id) DESC LIMIT 1	movie_platform
SELECT movie_release_year FROM movies GROUP BY movie_release_year ORDER BY COUNT(movie_id) DESC LIMIT 1	movie_platform
SELECT director_id FROM movies GROUP BY director_id ORDER BY COUNT(movie_id) DESC LIMIT 1	movie_platform
SELECT COUNT(movie_id) FROM movies WHERE director_id = ( SELECT director_id FROM movies ORDER BY movie_popularity DESC LIMIT 1 )	movie_platform
SELECT COUNT(user_subscriber) FROM ratings_users WHERE user_has_payment_method = 1 AND rating_date_utc > '2014%'	movie_platform
SELECT user_id FROM lists_users WHERE user_subscriber = 0 ORDER BY list_creation_date_utc LIMIT 1	movie_platform
SELECT SUM(T1.list_followers) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id GROUP BY T1.user_id ORDER BY COUNT(T1.list_id) DESC LIMIT 1	movie_platform
SELECT SUM(T2.list_followers) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_title LIKE 'Non-American Films about World War II'	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Downfall' AND T1.rating_score = 4	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id GROUP BY T2.movie_title ORDER BY COUNT(T1.critic_comments) DESC LIMIT 1	movie_platform
SELECT T2.user_avatar_image_url FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id WHERE T1.rating_timestamp_utc LIKE '2019-10-17 01:36:36'	movie_platform
SELECT T1.user_avatar_image_url FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_title LIKE 'Vladimir Vladimirovich Nabokov'	movie_platform
SELECT T1.user_has_payment_method FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_movie_number = ( SELECT MAX(list_movie_number) FROM lists )	movie_platform
SELECT T2.user_avatar_image_url FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id WHERE T1.rating_score = 5	movie_platform
SELECT COUNT(T1.critic) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_popularity = ( SELECT MAX(movie_popularity) FROM movies )	movie_platform
SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE rating_score = 4 AND rating_timestamp_utc LIKE '2013-05-04 06:33:32' AND T2.movie_title LIKE 'Freaks'	movie_platform
SELECT T2.movie_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE rating_score = 5 AND rating_timestamp_utc LIKE '2013-05-03 05:11:17'	movie_platform
SELECT COUNT(T2.movie_title) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 4 AND T2.movie_release_year = 1998 ORDER BY T2.movie_popularity DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_popularity > 13000 ORDER BY T1.rating_score LIMIT 1	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'One Flew Over the Cuckoo''s Nest' AND T3.user_has_payment_method = 1	movie_platform
SELECT COUNT(T1.user_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers > 3000 AND T1.user_has_payment_method = 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year = 1988 ORDER BY T1.rating_score DESC LIMIT 1	movie_platform
SELECT COUNT(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score < 3 AND T2.movie_release_year = 1995 AND T2.movie_popularity = ( SELECT MAX(movie_popularity) FROM movies WHERE movie_release_year = 1995 )	movie_platform
SELECT CAST(SUM(CASE WHEN T1.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Go Go Tales'	movie_platform
SELECT CAST(SUM(CASE WHEN T3.user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'G.I. Jane'	movie_platform
SELECT CAST(SUM(CASE WHEN T1.user_has_payment_method = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN lists_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'A Shot in the Dark'	movie_platform
SELECT list_title FROM lists WHERE user_id LIKE 4208563	movie_platform
SELECT list_title FROM lists WHERE strftime('%Y', list_update_timestamp_utc) = '2016' ORDER BY list_update_timestamp_utc DESC LIMIT 1	movie_platform
SELECT CAST(SUM(CASE WHEN user_subscriber = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(list_id) FROM lists_users	movie_platform
SELECT DISTINCT T2.list_id FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_subscriber = 1	movie_platform
SELECT DISTINCT T2.list_title FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T1.user_eligible_for_trial = 1	movie_platform
SELECT COUNT(T1.list_id) FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_followers >= 1 AND T1.user_subscriber = 1	movie_platform
SELECT AVG(list_followers) FROM lists WHERE list_movie_number > 200	movie_platform
SELECT DISTINCT T2.list_title FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_movie_number < 50 AND T1.user_subscriber = 1	movie_platform
SELECT list_title , datetime(CURRENT_TIMESTAMP, 'localtime') - datetime(list_update_timestamp_utc) FROM lists ORDER BY list_update_timestamp_utc LIMIT 1	movie_platform
SELECT T1.user_id, T1.user_subscriber FROM lists_users AS T1 INNER JOIN lists AS T2 ON T1.list_id = T2.list_id WHERE T2.list_title LIKE 'Sound and Vision'	movie_platform
SELECT list_title , 365 * (strftime('%Y', 'now') - strftime('%Y', list_creation_timestamp_utc)) + 30 * (strftime('%m', 'now') - strftime('%m', list_creation_timestamp_utc)) + strftime('%d', 'now') - strftime('%d', list_creation_timestamp_utc) FROM lists WHERE list_followers > 200	movie_platform
SELECT CAST(SUM(CASE WHEN T2.movie_id IS NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.movie_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id	movie_platform
SELECT T2.movie_title, T1.rating_timestamp_utc, T1.rating_score FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 39115684	movie_platform
SELECT COUNT(movie_id) FROM movies WHERE movie_release_year BETWEEN '1970' AND '1980' AND movie_popularity > 11000	movie_platform
SELECT COUNT(movie_id) FROM movies WHERE movie_release_year = 1976 AND director_name LIKE 'Felipe Cazals'	movie_platform
SELECT director_url FROM movies WHERE movie_title LIKE 'Red Blooded American Girl'	movie_platform
SELECT list_title FROM lists WHERE list_update_timestamp_utc = ( SELECT list_update_timestamp_utc FROM lists ORDER BY list_update_timestamp_utc DESC LIMIT 1 )	movie_platform
SELECT user_id FROM lists WHERE list_comments = 142	movie_platform
SELECT T2.movie_title, AVG(T1.rating_score) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.director_name = 'Jeannot Szwarc' ORDER BY T2.movie_popularity DESC LIMIT 1	movie_platform
SELECT T2.director_name, T1.rating_score FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1970 AND 1979 GROUP BY T2.director_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1	movie_platform
SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'The Secret Life of Words' AND T1.rating_score = 3 AND T1.user_trialist = 0 AND T1.rating_timestamp_utc BETWEEN '2010%' AND '2020%'	movie_platform
SELECT T2.movie_title, T1.rating_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.critic_likes DESC LIMIT 1	movie_platform
SELECT DISTINCT T2.movie_id, SUM(T1.rating_score = 5) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T2.movie_popularity DESC LIMIT 5	movie_platform
SELECT CAST(SUM(T4.list_followers) AS REAL) / COUNT(T2.list_id) FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id INNER JOIN movies AS T3 ON T1.movie_id = T3.movie_id INNER JOIN lists AS T4 ON T2.list_id = T4.list_id WHERE T3.movie_title LIKE 'Pavee Lackeen: The Traveller Girl' AND T1.rating_timestamp_utc LIKE '2011-03-27 02:06:34'	movie_platform
SELECT COUNT(T1.user_id), T2.movie_image_url FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE datetime(T1.rating_timestamp_utc) BETWEEN '2017-01-01 00:00:00' AND '2017-12-31 00:00:00'	movie_platform
SELECT AVG(T3.list_movie_number) , SUM(CASE WHEN T1.rating_score = 5 THEN 1 ELSE 0 END) FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id INNER JOIN lists AS T3 ON T2.user_id = T3.user_id WHERE T1.user_id = 8516503	movie_platform
SELECT T1.director_name, T1.movie_release_year , SUM(T2.rating_score) / COUNT(T2.user_id) FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 ORDER BY T1.movie_popularity DESC LIMIT 1	movie_platform
SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.user_id = 57756708 ORDER BY T1.rating_timestamp_utc DESC LIMIT 1	movie_platform
SELECT T2.movie_id, AVG(T1.rating_score), T2.director_name, T2.movie_release_year FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.rating_timestamp_utc ASC LIMIT 10	movie_platform
SELECT ord_date, SUM(qty) FROM sales GROUP BY ord_date ORDER BY SUM(qty) DESC LIMIT 1	book_publishing_company
SELECT T2.title FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y', T1.ord_date) = '1992' ORDER BY T1.qty DESC LIMIT 1	book_publishing_company
SELECT T2.title, T2.price, T2.pubdate FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id WHERE T1.payterms = 'ON invoice'	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange = 0 AND T2.royalty >= 10	book_publishing_company
SELECT T1.title, T2.royalty FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange > 10000 AND T2.hirange < 50000 AND T1.title_ID = 'BU2075'	book_publishing_company
SELECT T1.title, T2.lorange FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id ORDER BY T2.royalty DESC LIMIT 1	book_publishing_company
SELECT T1.title, T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA'	book_publishing_company
SELECT MAX(T1.ytd_sales) FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.lorange > 20000 AND T2.hirange < 20000	book_publishing_company
SELECT T1.title, T1.notes, T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE STRFTIME('%Y', T1.pubdate) = '1991'	book_publishing_company
SELECT T1.title, T2.qty FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN stores AS T3 ON T2.stor_id = T3.stor_id WHERE T2.qty > 20 AND T3.state = 'CA'	book_publishing_company
SELECT T3.stor_id, T2.title FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id INNER JOIN stores AS T3 ON T3.stor_id = T1.stor_id WHERE T3.stor_id = ( SELECT stor_id FROM sales GROUP BY stor_id ORDER BY SUM(qty) DESC LIMIT 1 ) GROUP BY T3.stor_id, T2.title ORDER BY SUM(T1.qty) ASC LIMIT 1	book_publishing_company
SELECT T1.title, T3.pub_name, T2.lorange, T2.hirange, T2.royalty FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T1.title_id = 'BU2075'	book_publishing_company
SELECT T2.stor_name , CAST(SUM(CASE WHEN payterms = 'Net 30' THEN qty ELSE 0 END) AS REAL) * 100 / SUM(qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T1.stor_id = '7066' GROUP BY T2.stor_name	book_publishing_company
SELECT T2.pub_name, AVG(T1.ytd_sales) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.pub_id = '0877' GROUP BY T2.pub_name	book_publishing_company
SELECT fname, lname FROM employee WHERE STRFTIME('%Y', hire_date) < '1990'	book_publishing_company
SELECT fname, lname, hire_date FROM employee ORDER BY job_lvl LIMIT 1	book_publishing_company
SELECT STRFTIME('%Y', hire_date) FROM employee GROUP BY STRFTIME('%Y', hire_date) ORDER BY COUNT(emp_id) DESC LIMIT 1	book_publishing_company
SELECT T1.fname, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.job_lvl = T2.max_lvl	book_publishing_company
SELECT T1.fname, T1.lname, T1.hire_date FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Chief Financial Officier'	book_publishing_company
SELECT T1.fname, T1.lname, T2.pub_name FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country != 'USA'	book_publishing_company
SELECT T1.fname, T1.lname, T3.job_desc FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T1.job_id = T3.job_id WHERE T2.pub_name = 'GGG&G'	book_publishing_company
SELECT DISTINCT T2.pub_name, T1.type FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T2.pub_name	book_publishing_company
SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE STRFTIME('%Y', T1.pubdate) = '1991' GROUP BY T1.pub_id, T2.pub_name ORDER BY COUNT(T1.title_id) DESC LIMIT 1	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'Binnet & Hardley' ORDER BY T1.price DESC LIMIT 1	book_publishing_company
SELECT T1.fname, T1.lname, T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.job_lvl > 200	book_publishing_company
SELECT T3.au_fname, T3.au_lname FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T1.type = 'business'	book_publishing_company
SELECT T1.title_id, T1.ytd_sales FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T3.contract = 0	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T3.contract = 0 AND T3.state = 'CA' ORDER BY T1.ytd_sales DESC LIMIT 1	book_publishing_company
SELECT T3.au_fname, T3.au_lname FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T1.title = 'Sushi, Anyone?'	book_publishing_company
SELECT CAST(SUM(CASE WHEN T2.job_desc IN ('Editor', 'Designer') THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.job_id) FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.ytd_sales > ( SELECT AVG(ytd_sales) FROM titles )	book_publishing_company
SELECT COUNT(pub_id) FROM publishers WHERE country = 'USA'	book_publishing_company
SELECT T1.pr_info FROM pub_info AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books'	book_publishing_company
SELECT T1.fname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T2.job_desc = 'Managing Editor'	book_publishing_company
SELECT T2.max_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.hire_date LIMIT 1	book_publishing_company
SELECT T2.city FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id GROUP BY T2.city ORDER BY SUM(T1.qty) DESC LIMIT 1	book_publishing_company
SELECT T2.price FROM sales AS T1 INNER JOIN titles AS T2 ON T1.title_id = T2.title_id ORDER BY T1.qty DESC LIMIT 1	book_publishing_company
SELECT T2.stor_name FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T3.title = 'Life Without Fear'	book_publishing_company
SELECT COUNT(T1.stor_id) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts'	book_publishing_company
SELECT T2.country FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Life Without Fear'	book_publishing_company
SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T1.price DESC LIMIT 1	book_publishing_company
SELECT COUNT(DISTINCT T1.pub_id) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'USA' AND T1.price > 15	book_publishing_company
SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id ORDER BY T2.qty DESC LIMIT 3	book_publishing_company
SELECT SUM(T1.qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id INNER JOIN titles AS T3 ON T1.title_id = T3.title_id WHERE T2.state = 'Massachusetts' AND T3.type = 'business'	book_publishing_company
SELECT CAST(SUM(T2.qty) AS REAL) / COUNT(T1.title_id) FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T1.title = 'Life Without Fear'	book_publishing_company
SELECT AVG(T2.job_lvl), T1.max_lvl - AVG(T2.job_lvl) FROM jobs AS T1 INNER JOIN employee AS T2 ON T1.job_id = T2.job_id WHERE T1.job_desc = 'Managing Editor' GROUP BY T2.job_id, T1.max_lvl	book_publishing_company
SELECT title FROM titles WHERE type = 'business' ORDER BY price LIMIT 1	book_publishing_company
SELECT type FROM titles ORDER BY advance DESC LIMIT 1	book_publishing_company
SELECT royalty FROM titles ORDER BY ytd_sales DESC LIMIT 1	book_publishing_company
SELECT job_lvl FROM employee WHERE lname = 'O''Rourke'	book_publishing_company
SELECT emp_id FROM employee WHERE minit = '' ORDER BY job_lvl DESC LIMIT 1	book_publishing_company
SELECT T1.contract FROM authors AS T1 INNER JOIN titleauthor AS T2 ON T1.au_id = T2.au_id INNER JOIN titles AS T3 ON T2.title_id = T3.title_id WHERE T3.title = 'Sushi, Anyone?'	book_publishing_company
SELECT T1.fname, T1.minit, T1.lname FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id ORDER BY T1.job_lvl DESC LIMIT 1	book_publishing_company
SELECT T2.job_desc FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Pedro' AND T1.minit = 'S' AND T1.lname = 'Afonso'	book_publishing_company
SELECT T2.max_lvl - T1.job_lvl FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id WHERE T1.fname = 'Diego' AND T1.minit = 'W' AND T1.lname = 'Roel'	book_publishing_company
SELECT T1.notes FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1994-09-14'	book_publishing_company
SELECT DISTINCT T1.type FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE STRFTIME('%Y-%m-%d', T2.ord_date) = '1993-05-29'	book_publishing_company
SELECT T1.pr_info FROM pub_info AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.country = 'France'	book_publishing_company
SELECT T2.pub_name FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Silicon Valley Gastronomic Treats'	book_publishing_company
SELECT T2.city FROM employee AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.fname = 'Victoria' AND T1.minit = 'P' AND T1.lname = 'Ashworth'	book_publishing_company
SELECT COUNT(T1.ord_num) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T2.city = 'Remulade'	book_publishing_company
SELECT CAST(SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) - SUM(CASE WHEN T2.city = 'Portland' THEN qty END) AS REAL) * 100 / SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE STRFTIME('%Y', T1.ord_date) = '1993'	book_publishing_company
SELECT CAST(SUM(CASE WHEN T2.job_desc = 'publisher' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.job_desc = 'designer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.job_id) FROM employee AS T1 INNER JOIN jobs AS T2 ON T1.job_id = T2.job_id	book_publishing_company
SELECT fname, minit, lname FROM employee WHERE STRFTIME('%Y', hire_date) BETWEEN '1990' AND '1995' ORDER BY job_lvl DESC	book_publishing_company
SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN roysched AS T2 ON T1.title_id = T2.title_id WHERE T2.royalty > ( SELECT CAST(SUM(royalty) AS REAL) / COUNT(title_id) FROM roysched )	book_publishing_company
SELECT DISTINCT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id WHERE T2.ord_date LIKE '1994%' AND T2.Qty < ( SELECT CAST(SUM(T4.qty) AS REAL) / COUNT(T3.title_id) FROM titles AS T3 INNER JOIN sales AS T4 ON T3.title_id = T4.title_id )	book_publishing_company
SELECT T1.title, T1.type, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T2.pub_name = 'New Moon Books' ORDER BY T1.price	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id WHERE T2.country = 'USA' ORDER BY T1.royalty DESC	book_publishing_company
SELECT (CAST(SUM(CASE WHEN T2.country = 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T2.country != 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country != 'USA' THEN 1 ELSE 0 END)) FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id INNER JOIN roysched AS T3 ON T1.title_id = T3.title_id	book_publishing_company
SELECT (CAST(SUM(CASE WHEN T1.country = 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.country != 'USA' THEN job_lvl ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.country != 'USA' THEN 1 ELSE 0 END)) FROM publishers AS T1 INNER JOIN employee AS T2 ON T1.pub_id = T2.pub_id INNER JOIN jobs AS T3 ON T2.job_id = T3.job_id WHERE T3.job_desc = 'Managing Editor'	book_publishing_company
SELECT T1.title, T2.pub_name, T1.price FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Helpful hints on how to use your electronic resources to the best advantage.'	book_publishing_company
SELECT T1.title, T2.pub_name, T1.ytd_sales FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.notes = 'Carefully researched study of the effects of strong emotions on the body. Metabolic charts included.'	book_publishing_company
SELECT T1.title FROM titles AS T1 INNER JOIN sales AS T2 ON T1.title_id = T2.title_id INNER JOIN publishers AS T3 ON T1.pub_id = T3.pub_id WHERE T2.qty > ( SELECT CAST(SUM(qty) AS REAL) / COUNT(title_id) FROM sales ) AND T3.state = 'CA' ORDER BY T2.qty DESC LIMIT 5	book_publishing_company
SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs )	retail_complains
SELECT MIN(ser_time) FROM callcenterlogs WHERE `Date received` = '2017-03-22'	retail_complains
SELECT CASE WHEN SUM(CASE WHEN `Complaint ID` = 'CR2400594' THEN priority END) > SUM(CASE WHEN `Complaint ID` = 'CR2405641' THEN priority END) THEN 'CR2400594' ELSE 'CR2405641' END FROM callcenterlogs	retail_complains
SELECT first, middle, last FROM client WHERE year > 1990	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'	retail_complains
SELECT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' AND T2.`Date received` = '2014-07-03'	retail_complains
SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', 'Empty') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28'	retail_complains
SELECT 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.`Date received` = '2017-03-27' AND T2.server = 'MICHAL'	retail_complains
SELECT T2.ser_time FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first = 'Rachel' AND T1.last = 'Hicks' AND T2.`Date received` = '2017-03-27'	retail_complains
SELECT COUNT(T2.Issue) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Deposits and withdrawals' AND T1.city = 'New York City'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress'	retail_complains
SELECT COUNT(T1.city) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.city = 'New York City'	retail_complains
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) = '2016' AND T1.sex = 'Male' AND T2.Product = 'Credit card'	retail_complains
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Diesel' AND T1.last = 'Galloway'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' AND T1.sex = 'Male'	retail_complains
SELECT CAST(COUNT(T2.`Complaint ID`) AS REAL) / 3 AS average FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2015' AND '2017' AND T1.city = 'New York City' AND T2.Product = 'Credit card'	retail_complains
SELECT 100.0 * (SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2017' THEN 1 ELSE 0 END) - SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END)) / SUM(CASE WHEN strftime('%Y', T2.`Date received`) = '2016' THEN 1 ELSE 0 END) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City'	retail_complains
SELECT T1.ser_time FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Client_ID = 'C00007127' AND T1.`Date received` = '2017-02-22'	retail_complains
SELECT T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.email = 'wyatt.collins@gmail.com'	retail_complains
SELECT DISTINCT T2.`Sub-product` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lennox' AND T1.middle = 'Oliver' AND T1.last = 'Drake' AND T1.sex = 'Male'	retail_complains
SELECT T2.`Sub-issue` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Gunner' AND T1.middle = 'Omer' AND T1.last = 'Fuller' AND T1.sex = 'Male'	retail_complains
SELECT CASE WHEN T2.`Consumer consent provided?` IN (NULL, 'N/A', '') THEN 'No' ELSE 'Yes' END FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Lyric' AND T1.middle = 'Emely' AND T1.last = 'Taylor' AND T1.sex = 'Female' AND T2.`Date received` = '2016-05-20'	retail_complains
SELECT 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) AS days FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-05-18' AND T1.sex = 'Male' AND T1.first = 'Brantley' AND T1.middle = 'Julian' AND T1.last = 'Stanley'	retail_complains
SELECT T2.district_id, T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Date = '2018-09-11'	retail_complains
SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22'	retail_complains
SELECT T1.Product FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' AND T1.Date = '2016-10-07'	retail_complains
SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T2.city = 'Little Rock' AND T1.Date = '2013-04-04'	retail_complains
SELECT T1.month, T1.day FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0217298'	retail_complains
SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0100432'	retail_complains
SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27'	retail_complains
SELECT CAST(SUM(CASE WHEN T2.`Consumer consent provided?` = 'Consent provided' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Consumer consent provided?`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.first = 'Mason' AND T1.middle = 'Javen' AND T1.last = 'Lopez'	retail_complains
SELECT COUNT(`Complaint ID`) FROM callcenterlogs WHERE `Date received` LIKE '2017-01%' AND priority = ( SELECT MAX(priority) FROM callcenterlogs )	retail_complains
SELECT first, middle, last, year, month , day, email FROM client WHERE age > 65 ORDER BY age DESC	retail_complains
SELECT T.Product, MAX(T.num) FROM ( SELECT Product, COUNT(Stars) AS num FROM reviews WHERE Stars = 5 GROUP BY Product ) T	retail_complains
SELECT state FROM state WHERE Region = 'South'	retail_complains
SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.outcome = 'HANG'	retail_complains
SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T3.Region) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest'	retail_complains
SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Fax'	retail_complains
SELECT T2.division FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T1.Stars > ( SELECT AVG(Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id )	retail_complains
SELECT COUNT(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.age BETWEEN 12 AND 20 AND T2.division = 'Mountain'	retail_complains
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T2.Product = 'Credit card'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year BETWEEN 1980 AND 2000 AND T1.sex = 'Male' AND T2.`Submitted via` = 'Referral'	retail_complains
SELECT T3.`Submitted via` FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.state = 'FL' GROUP BY T1.`Complaint ID` ORDER BY COUNT(T1.`Complaint ID`) DESC LIMIT 1	retail_complains
SELECT STRFTIME('%Y', T3.`Date received`) , CAST(SUM(CASE WHEN T3.`Company response to consumer` = 'Closed with explanation' THEN 1 ELSE 0 END) AS REAL) / COUNT(T3.`Complaint ID`) AS average FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.city = 'New Bedford' GROUP BY strftime('%Y', T3.`Date received`)	retail_complains
SELECT CAST(SUM(CASE WHEN T2.`Consumer disputed?` = 'Yes' AND T1.city = 'Houston' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Servicemember' AND T1.city = 'Syracuse'	retail_complains
SELECT CAST(SUM(CASE WHEN T1.priority = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.priority) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T4.State = 'California'	retail_complains
SELECT (CAST(SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.age > 65 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END)) AS difference FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast'	retail_complains
SELECT `Complaint ID` FROM callcenterlogs ORDER BY ser_time DESC LIMIT 3	retail_complains
SELECT COUNT(email) FROM client WHERE email NOT LIKE '%@gmail.com'	retail_complains
SELECT Client_ID FROM events WHERE `Consumer consent provided?` = 'N/A' OR 'Consumer consent provided?' IS NULL OR 'Consumer consent provided?' = ''	retail_complains
SELECT `Complaint ID` FROM events WHERE strftime('%J', `Date sent to company`) - strftime('%J', `Date received`) = ( SELECT MAX(strftime('%J', `Date sent to company`) - strftime('%J', `Date received`)) FROM events WHERE `Date sent to company` = '2014-09-25' ) AND `Date sent to company` = '2014-09-25'	retail_complains
SELECT DISTINCT `Complaint ID` FROM callcenterlogs WHERE priority = 2 ORDER BY `Date received` DESC	retail_complains
SELECT COUNT(outcome) FROM callcenterlogs WHERE outcome != 'AGENT'	retail_complains
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Product = 'Credit card' AND T1.server = 'SHARON'	retail_complains
SELECT T3.Region FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.Stars = 1 GROUP BY T3.Region ORDER BY COUNT(T3.Region) DESC LIMIT 1	retail_complains
SELECT T1.year FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Sub-product` = '(CD) Certificate of deposit' GROUP BY T1.year ORDER BY COUNT(T1.year) DESC LIMIT 1	retail_complains
SELECT COUNT(T1.Issue) FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.Issue = 'Billing disputes' AND T3.division = 'Mountain'	retail_complains
SELECT COUNT(T3.sex) FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T1.state = 'Massachusetts' AND T3.sex = 'Male'	retail_complains
SELECT t1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' AND T2.server = 'TOVA'	retail_complains
SELECT COUNT(T2.age) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle National Mortgage' AND T1.Stars = 1 AND T2.age < 35	retail_complains
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Male' AND T2.priority = 0 AND T1.year = 1997	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` != 'N/A' AND T2.`Consumer consent provided?` IS NOT NULL AND T2.`Consumer consent provided?` != ''	retail_complains
SELECT T2.state FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T1.priority = 0 GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1	retail_complains
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.sex = 'Female' AND T1.ser_start BETWEEN '15:00:01' AND '23:59:59' AND T3.`Timely response?` = 'Yes'	retail_complains
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time < '00:05:00' AND T1.server = 'DORIT' AND T2.`Submitted via` = 'Phone' AND T2.`Company response to consumer` = 'Closed with explanation'	retail_complains
SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T1.state_abbrev = T3.StateCode WHERE T2.last = 'Alvarado' AND T2.state = 'MD'	retail_complains
SELECT COUNT(T1.Reviews) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.age BETWEEN 30 AND 50 AND T1.Reviews LIKE '%great%'	retail_complains
SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'Yes' AND T2.`Consumer disputed?` = 'Yes'	retail_complains
SELECT COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T1.year = 2000 AND T2.`Submitted via` != 'Web'	retail_complains
SELECT T2.`Consumer complaint narrative` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Brenda' AND T1.last = 'Mayer'	retail_complains
SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE (T2.`Date received` LIKE '2017-02%' OR T2.`Date received` LIKE '2017-01%') AND T1.email LIKE '%@gmail.com'	retail_complains
SELECT CAST(SUM(T3.Stars) AS REAL) / COUNT(T3.Stars) AS average FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.State = 'Oregon'	retail_complains
SELECT CAST(SUM(CASE WHEN T1.age > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail'	retail_complains
SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk'	retail_complains
SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Kansas City' AND T1.Stars = 1	retail_complains
SELECT T2.state_abbrev FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 GROUP BY T2.state_abbrev ORDER BY COUNT(T2.state_abbrev) DESC LIMIT 1	retail_complains
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Noah' AND T1.last = 'Thompson'	retail_complains
SELECT DISTINCT T2.`Submitted via` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kyran' AND T1.last = 'Muller'	retail_complains
SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005	retail_complains
SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card'	retail_complains
SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs )	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City' AND T2.`Submitted via` = 'Fax'	retail_complains
SELECT CAST(SUM(CASE WHEN T1.sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` IN (NULL, 'N/A', '') LIMIT 2	retail_complains
SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1	retail_complains
SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No'	retail_complains
SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15'	retail_complains
SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1	retail_complains
SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific'	retail_complains
SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1	retail_complains
SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1	retail_complains
SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail'	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1	retail_complains
SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No'	retail_complains
SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott'	retail_complains
SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = 'skylar.ramirez@gmail.com'	retail_complains
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11'	retail_complains
SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client`	retail_complains
SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID	retail_complains
SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis'	retail_complains
SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19	retail_complains
SELECT first, middle, last FROM client WHERE email = 'emily.garcia43@outlook.com'	retail_complains
SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs )	retail_complains
SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS'	retail_complains
SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT'	retail_complains
SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes'	retail_complains
SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931	retail_complains
SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20'	retail_complains
SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5	retail_complains
SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%'	retail_complains
SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis'	retail_complains
SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male'	retail_complains
SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1	retail_complains
SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card'	retail_complains
SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10'	retail_complains
SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax'	retail_complains
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer'	retail_complains
SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail'	retail_complains
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief'	retail_complains
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT'	retail_complains
SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN'	retail_complains
SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01'	retail_complains
SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`)	retail_complains
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18	retail_complains
SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1	retail_complains
SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5	retail_complains
SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration'	retail_complains
SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371'	retail_complains
SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific'	retail_complains
SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1	retail_complains
SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30	retail_complains
SELECT first, last FROM client WHERE city = 'New York City'	retail_complains
SELECT MAX(age) FROM client WHERE sex = 'Male'	retail_complains
SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division	retail_complains
SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'	retail_complains
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic'	retail_complains
SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1	retail_complains
SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com'	retail_complains
SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1	retail_complains
SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017'	retail_complains
SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1	retail_complains
SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485'	retail_complains
SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03'	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card'	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male'	retail_complains
SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress'	retail_complains
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes'	retail_complains
SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014'	retail_complains
SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email'	retail_complains
SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16'	retail_complains
SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN'	retail_complains
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation'	retail_complains
SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female'	retail_complains
SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1	retail_complains
SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5	retail_complains
SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25	retail_complains
SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 1	retail_complains
SELECT DISTINCT T2.Product FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.server = 'TOVA' AND T2.`Date received` LIKE '2017-03%'	retail_complains
SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage'	retail_complains
SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1	retail_complains
SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014'	retail_complains
SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client )	retail_complains
SELECT CAST(SUM(CASE WHEN T1.division = 'East North Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.division) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5	retail_complains
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms'	movies_4
SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' )	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures'	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' ORDER BY T3.release_date DESC LIMIT 1	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Director of Photography'	movies_4
SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End'	movies_4
SELECT COUNT(T3.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'	movies_4
SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' ORDER BY T1.vote_average DESC LIMIT 1	movies_4
SELECT T1.release_date FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' ORDER BY T1.release_date DESC LIMIT 1	movies_4
SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'	movies_4
SELECT CAST(SUM(T1.revenue) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'	movies_4
SELECT title FROM movie WHERE revenue = 559852396	movies_4
SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'David Rubin' AND T1.title = 'Days of Thunder'	movies_4
SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Michael Bay' AND T2.job = 'Director'	movies_4
SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Land of the Dead' AND T2.job = 'Director'	movies_4
SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Paramount Animation'	movies_4
SELECT COUNT(*) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Spider-Man 3' AND T3.gender = 'Female'	movies_4
SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) DESC LIMIT 1	movies_4
SELECT COUNT(T2.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Amityville Horror' AND T2.job = 'Producer'	movies_4
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Crazy Heart'	movies_4
SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world'	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity DESC LIMIT 1	movies_4
SELECT T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T3.person_name = 'Marcia Ross' AND T1.title = 'Reign of Fire'	movies_4
SELECT CAST(SUM(T1.budget) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jaume Collet-Serra' AND T2.job = 'Director'	movies_4
SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Bride Wars'	movies_4
SELECT title FROM movie ORDER BY budget DESC LIMIT 1	movies_4
SELECT COUNT(movie_id) FROM movie WHERE revenue > 1000000000	movies_4
SELECT MIN(release_date) FROM movie WHERE movie_status = 'Released'	movies_4
SELECT COUNT(person_id) FROM person WHERE person_name = 'John Young'	movies_4
SELECT title FROM movie ORDER BY popularity DESC LIMIT 1	movies_4
SELECT person_name FROM person WHERE person_id = 1325273	movies_4
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1	movies_4
SELECT DISTINCT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.character_name = 'Captain Jack Sparrow' AND T1.title LIKE 'Pirates of the Caribbean%'	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity DESC LIMIT 1	movies_4
SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios'	movies_4
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1	movies_4
SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female'	movies_4
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200	movies_4
SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Harrison Ford'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jamie Foxx' ORDER BY T1.release_date DESC LIMIT 1	movies_4
SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Quentin Tarantino' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1995	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date LIMIT 1	movies_4
SELECT COUNT(T1.movie_id) FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Horror'	movies_4
SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor'	movies_4
SELECT COUNT(movie_id) FROM movie_crew WHERE movie_id = 129 AND job = 'Animation'	movies_4
SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7	movies_4
SELECT person_id, character_name FROM movie_cast WHERE movie_id = 285 AND cast_order BETWEEN 1 AND 10	movies_4
SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Bob Peterson'	movies_4
SELECT T2.movie_id, T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Jim Carrey'	movies_4
SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 AND T3.gender = 'Female'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jim Carrey'	movies_4
SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31'	movies_4
SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Uma Thurman' AND T1.release_date BETWEEN '1990-01-01' AND '2000-12-31'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND vote_average > 7	movies_4
SELECT T3.genre_name, T1.popularity FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.revenue > 120000000 AND T1.release_date BETWEEN '2012-01-01' AND '2015-12-31'	movies_4
SELECT COUNT(T2.movie_id) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.revenue > 75000000 AND T1.popularity >= 20 AND T1.release_date BETWEEN '1990-01-01' AND '2003-12-31'	movies_4
SELECT T1.title, T1.revenue, T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id ORDER BY T1.budget DESC LIMIT 1	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31'	movies_4
SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'United States of America' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2006	movies_4
SELECT AVG(CASE WHEN T3.COUNTry_name = 'United States of America' THEN T1.revenue END) - AVG(CASE WHEN T3.COUNTry_name = 'India' THEN T1.revenue END) AS CALCULATE FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2016	movies_4
SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Romance' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'India' AND T1.release_date BETWEEN '2015-01-01' AND '2015-12-31'	movies_4
SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name = 'Optimus Prime (voice)'	movies_4
SELECT T2.gender FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T1.character_name = 'USAF Master Sgt. Epps'	movies_4
SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Ultramarines: A Warhammer 40,000 Movie'	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Radiant Film GmbH'	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'	movies_4
SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'	movies_4
SELECT T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T1.title = 'Gojira ni-sen mireniamu'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'extremis'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France' LIMIT 10	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Transformers' AND T2.job = 'Director'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Mad Max: Fury Road' LIMIT 10	movies_4
SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Animation' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER JOIN COUNTry AS T5 ON T3.COUNTry_id = T5.COUNTry_id WHERE T5.COUNTry_name = 'Japan'	movies_4
SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'Female' THEN 1 ELSE NULL END) AS RATIO , COUNT(CASE WHEN T3.gender = 'Unspecified' THEN 1 ELSE NULL END) AS UNGENDERS FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Iron Man'	movies_4
SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) < 2000 LIMIT 5	movies_4
SELECT T2.keyword_id FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Sin City'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'angel'	movies_4
SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id ORDER BY T1.popularity DESC LIMIT 1	movies_4
SELECT T2.genre_id FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Dark Knight'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Thriller'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.movie_status = 'Rumored' AND T3.genre_name = 'Drama' LIMIT 5	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.revenue LIMIT 1	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.runtime = 14	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.vote_average DESC, T1.revenue LIMIT 1	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T3.genre_id = T2.genre_id WHERE T1.tagline = 'A long time ago in a galaxy far, far away...'	movies_4
SELECT T2.COUNTry_id FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title LIKE 'Pirates of the Caribbean: Dead Man%s Chest'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'Canada'	movies_4
SELECT SUM(T1.budget) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'video game'	movies_4
SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'civil war'	movies_4
SELECT popularity FROM movie ORDER BY vote_COUNT DESC LIMIT 1	movies_4
SELECT title FROM movie WHERE budget = 0 ORDER BY revenue DESC LIMIT 1	movies_4
SELECT T2.company_id FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Gladiator'	movies_4
SELECT T2.company_id FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id WHERE CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1916	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Lucasfilm'	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Warner Bros. Pictures' ORDER BY T3.revenue DESC LIMIT 1	movies_4
SELECT T3.release_date FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Twentieth Century Fox Film Corporation'	movies_4
SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Walk the Line'	movies_4
SELECT T2.language_id FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.popularity DESC LIMIT 1	movies_4
SELECT T3.language_name FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T1.title LIKE 'C%era una volta il West'	movies_4
SELECT DISTINCT CASE WHEN T1.movie_status = 'Post Production' THEN 'YES' ELSE 'NO' END AS YORN FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Nederlands'	movies_4
SELECT DISTINCT T1.tagline FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Polski'	movies_4
SELECT DISTINCT T1.homepage FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Bahasa indonesia'	movies_4
SELECT SUM(CASE WHEN T3.language_name = 'English' THEN T1.revenue ELSE 0 END) - SUM(CASE WHEN T3.language_name = 'Latin' THEN T1.revenue ELSE 0 END) AS DIFFERENCE FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id	movies_4
SELECT SUM(T3.revenue) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name IN ('Fantasy Films', 'Live Entertainment')	movies_4
SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin'	movies_4
SELECT person_name FROM person GROUP BY person_name ORDER BY COUNT(person_name) DESC LIMIT 1	movies_4
SELECT CAST(SUM(CD) AS REAL) / COUNT(movie_id) FROM ( SELECT movie_id, COUNT(person_id) AS CD FROM movie_crew GROUP BY movie_id )	movies_4
SELECT keyword_name FROM keyword WHERE keyword_name LIKE '%christmas%'	movies_4
SELECT MAX(runtime) FROM movie	movies_4
SELECT COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Kyrgyz Republic'	movies_4
SELECT overview FROM movie WHERE title = 'The Pacifier'	movies_4
SELECT COUNT(T1.movie_id) FROM movie_company AS T1 INNER JOIN production_company AS T2 ON T1.company_id = T2.company_id WHERE T2.company_name = 'Eddie Murphy Productions'	movies_4
SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name LIKE '%captain%'	movies_4
SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.release_date LIKE '2006%' GROUP BY T3.keyword_name ORDER BY COUNT(T3.keyword_name) DESC LIMIT 1	movies_4
SELECT COUNT(T1.movie_id) FROM movie_languages AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_code = 'vi'	movies_4
SELECT T2.genre_name FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id GROUP BY T2.genre_id ORDER BY COUNT(T1.movie_id) LIMIT 2, 1	movies_4
SELECT T3.language_name FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id INNER JOIN language_role AS T4 ON T2.language_role_id = T4.role_id WHERE T4.language_role = 'Original' AND T1.tagline LIKE 'An offer you can%t refuse.'	movies_4
SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France'	movies_4
SELECT T1.character_name FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T2.gender = 'Unspecified'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.job = 'Director' ORDER BY T1.popularity DESC LIMIT 5	movies_4
SELECT T3.genre_name, MAX(T1.budget) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id GROUP BY T3.genre_name	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id GROUP BY T1.title ORDER BY COUNT(T2.keyword_id) DESC LIMIT 1	movies_4
SELECT T1.department_name FROM department AS T1 INNER JOIN movie_crew AS T2 ON T1.department_id = T2.department_id GROUP BY T1.department_id ORDER BY COUNT(T2.department_id) DESC LIMIT 1	movies_4
SELECT CAST(COUNT(CASE WHEN T3.COUNTry_iso_code = 'US' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id	movies_4
SELECT CAST(COUNT(CASE WHEN T2.gender = 'Female' THEN T1.person_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.gender = 'Male' THEN T1.person_id ELSE NULL END) FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id	movies_4
SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) = 1945	movies_4
SELECT COUNTry_id, COUNTry_iso_code FROM COUNTry WHERE COUNTry_name = 'Belgium'	movies_4
SELECT T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Catherine Deneuve'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Somali'	movies_4
SELECT T1.release_date, T3.language_name FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id ORDER BY T1.popularity DESC LIMIT 1	movies_4
SELECT T3.language_name FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id INNER JOIN language_role AS T4 ON T2.language_role_id = T4.role_id WHERE T4.language_role = 'Original' AND T1.title = 'Four Rooms'	movies_4
SELECT T2.character_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Open Water'	movies_4
SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' ORDER BY T2.cast_order LIMIT 1	movies_4
SELECT T1.person_name FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T2.job = 'Camera Supervisor'	movies_4
SELECT DISTINCT T2.job FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Sally Menke'	movies_4
SELECT T3.person_name, T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Music Editor'	movies_4
SELECT T1.title, T1.revenue FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T2.company_id = T3.company_id WHERE T3.company_name = 'DreamWorks'	movies_4
SELECT COUNT(T2.movie_id) FROM COUNTry AS T1 INNER JOIN production_COUNTry AS T2 ON T1.COUNTry_id = T2.COUNTry_id WHERE T1.COUNTry_name = 'Canada'	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Forrest Gump'	movies_4
SELECT T.company_name FROM ( SELECT DISTINCT T3.company_name, T1.runtime FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' ) T WHERE T.runtime * 100 > (0.35 * ( SELECT AVG(T1.runtime) FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' ) + ( SELECT AVG(T1.runtime) FROM movie AS T1 INNER JOIN movie_company AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_company AS T3 ON T3.company_id = T2.company_id WHERE T1.release_date LIKE '2016%' )) * 100	movies_4
SELECT CAST((SUM(CASE WHEN T1.keyword_name = 'woman director' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.keyword_name = 'independent film' THEN 1 ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T1.keyword_name = 'independent film' THEN 1 ELSE 0 END) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id	movies_4
SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Dancer in the Dark'	movies_4
SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Adventure' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2000	movies_4
SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Paramount Pictures' AND CAST(STRFTIME('%Y', T3.release_date) AS INT) = 2000	movies_4
SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Finding Nemo'	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND T1.vote_average > 7	movies_4
SELECT COUNT(*) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T1.company_name) > 150 )	movies_4
SELECT T2.job FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Mark Hammel'	movies_4
SELECT COUNT(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' AND T2.cast_order = ( SELECT MIN(T2.cast_order) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T3.gender_id = T2.gender_id WHERE T3.gender = 'Male' OR T3.gender = 'Female' AND T1.title = 'Pirates of the Caribbean: At World''s End' )	movies_4
SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Harrison Ford'	movies_4
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SELECT SUM(CASE WHEN T1.shape IN ('bucket', 'elipse') THEN 1 ELSE 0 end)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east'	trains
SELECT T1.id FROM trains AS T1 INNER JOIN ( SELECT train_id, MAX(position) AS carsNum FROM cars GROUP BY train_id ) AS T2 ON T1.id = T2.train_id WHERE T1.direction = 'east' AND T2.carsNum < 4	trains
SELECT T1.id FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east' AND T1.sides = 'double'	trains
SELECT SUM(CASE WHEN T2.longCarsNum > 2 THEN 1 ELSE 0 END)as count FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS longCarsNum FROM cars WHERE len = 'long' GROUP BY train_id ) AS T2 ON T1.id = T2.train_id WHERE T1.direction = 'west'	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.load_num = 0	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.shape = 'ellipse'	trains
SELECT SUM(CASE WHEN T1.len = 'short' then 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east'	trains
SELECT T1.shape FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east' AND T1.position = 1 GROUP BY T1.shape	trains
SELECT SUM(CASE WHEN T1.roof = 'flat' THEN 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east'	trains
SELECT SUM(CASE WHEN T1.load_shape = 'circle' THEN 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east' AND T1.roof = 'flat' 	trains
SELECT T1.direction FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS rectCarsNum FROM cars WHERE shape = 'rectangle' GROUP BY train_id ) AS T2 ON T1.id = T2.train_id ORDER BY T2.rectCarsNum DESC	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.len = 'short' AND T1.position = 4	trains
SELECT CAST(COUNT(T1.id) AS REAL) / COUNT(DISTINCT T1.train_id) FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T2.direction = 'east'	trains
SELECT CAST(COUNT(DISTINCT CASE WHEN T2.direction = 'east' THEN T1.train_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T1.train_id) FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.shape IN ('bucket', 'ellipse')	trains
SELECT COUNT(id) FROM cars WHERE shape = 'hexagon' AND len = 'short'	trains
SELECT COUNT(id) FROM trains WHERE direction = 'west'	trains
SELECT load_shape FROM cars WHERE shape = 'ellipse' AND len = 'short'	trains
SELECT id FROM trains WHERE direction = 'east'	trains
SELECT SUM(wheels) FROM cars WHERE len = 'long'	trains
SELECT direction FROM trains GROUP BY direction ORDER BY COUNT(id) DESC	trains
SELECT SUM(CASE WHEN T1.direction = 'east' THEN 1 ELSE 0 END)as count FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS carsNum FROM cars GROUP BY train_id ) AS T2 ON T1.id = T2.train_id WHERE T2.carsNum >= 4	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 2 AND T1.shape = 'rectangle' GROUP BY T2.direction ORDER BY COUNT(T2.id) DESC LIMIT 1	trains
SELECT COUNT(T.train_id) FROM (SELECT T1.train_id FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 3 AND T2.direction = 'west' AND T1.sides = 'double' GROUP BY T1.train_id)as T	trains
SELECT COUNT(T.train_id) FROM (SELECT T1.train_id FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 1 AND T2.direction = 'east' AND T1.shape = 'rectangle' GROUP BY T1.train_id)as T	trains
SELECT SUM(CASE WHEN T1.direction = 'west' THEN 1 ELSE 0 END)as count FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) FROM cars WHERE roof = 'none' GROUP BY train_id HAVING COUNT(id) = 1 ) AS T2 ON T1.id = T2.train_id 	trains
SELECT T1.direction FROM trains AS T1 INNER JOIN ( SELECT train_id, COUNT(id) AS carsNum FROM cars GROUP BY train_id HAVING carsNum = 3 ) AS T2 ON T1.id = T2.train_id GROUP BY T1.direction	trains
SELECT COUNT(DISTINCT T1.train_id) FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 1 AND T1.load_num = 3	trains
SELECT COUNT(T1.id) FROM trains AS T1 INNER JOIN cars AS T2 ON T1.id = T2.train_id INNER JOIN ( SELECT train_id, MAX(position) AS trailPosi FROM cars GROUP BY train_id ) AS T3 ON T1.id = T3.train_id WHERE T1.direction = 'east' AND T2.position = T3.trailPosi AND T2.sides = 'double'	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.load_num = 0	trains
SELECT T2.direction FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 2 AND T1.shape = 'diamond'	trains
SELECT SUM(CASE WHEN T2.direction = 'west' THEN 1 ELSE 0 END)as count FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.wheels = 3 AND T1.roof = 'jagged'	trains
SELECT T1.direction FROM trains AS T1 INNER JOIN ( SELECT train_id, MAX(position) AS trailPosi FROM cars GROUP BY train_id ) AS T2 ON T1.id = T2.train_id WHERE T2.trailPosi <= 2	trains
SELECT CAST(COUNT(CASE WHEN T2.trailPosi >= 4 THEN T1.id ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM trains AS T1 INNER JOIN ( SELECT train_id, MAX(position) AS trailPosi FROM cars GROUP BY train_id ) AS T2 ON T1.id = T2.train_id UNION ALL SELECT T1.direction FROM trains AS T1 INNER JOIN ( SELECT train_id, MAX(position) AS trailPosi FROM cars t GROUP BY train_id ) AS T2 ON T1.id = T2.train_id AND T2.trailPosi >= 4	trains
SELECT DISTINCT T3.load_shape FROM ( SELECT load_shape, train_id FROM cars WHERE position = 1 ORDER BY train_id DESC ) AS T3 UNION ALL SELECT T4.load_shape FROM ( SELECT load_shape, train_id FROM cars WHERE position = 1 ORDER BY train_id DESC LIMIT 1 ) AS T4 UNION ALL SELECT (CAST(COUNT(DISTINCT CASE WHEN T2.direction = 'east' THEN T2.id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.id)) FROM cars AS T1 INNER JOIN trains AS T2 ON T1.train_id = T2.id WHERE T1.position = 1 AND T1.load_shape = ( SELECT T4.load_shape FROM ( SELECT load_shape, train_id FROM cars AS T WHERE position = 1 ORDER BY train_id DESC LIMIT 1 ) AS T4 )	trains
SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'Look Who''s Talking'	movie
SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'Batman' ORDER BY T2.screentime DESC LIMIT 1	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Batman' AND T2.`Character Name` = 'Joker'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Batman'	movie
SELECT T1.Title FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.`Character Name` = 'Dr. Archibald ''Moonlight'' Graham'	movie
SELECT T1.Title FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Tom Cruise'	movie
SELECT COUNT(*) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Morgan Freeman' AND T1.`MPAA Rating` = 'PG'	movie
SELECT T1.Title FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Tom Cruise' ORDER BY T1.Rating DESC LIMIT 1	movie
SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Tom Cruise' AND T1.Title = 'Born on the Fourth of July'	movie
SELECT T1.`Character Name` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T2.Name = 'Tom Cruise'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Batman' ORDER BY T3.`Height (Inches)` DESC LIMIT 1	movie
SELECT COUNT(*) FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T2.Gender = 'Male' AND T2.Ethnicity = 'African American'	movie
SELECT AVG(T1.Rating) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Tom Cruise'	movie
SELECT (MAX(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL)) - MIN(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL))) * 100 / MIN(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL)) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'Batman'	movie
SELECT Title FROM movie ORDER BY Budget DESC LIMIT 1	movie
SELECT T1.`MPAA Rating` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.`Character Name` = 'Peter Quill'	movie
SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T2.creditOrder = '1' AND T1.Genre = 'Thriller' ORDER BY T1.Rating DESC LIMIT 1	movie
SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID INNER JOIN movie AS T3 ON T3.MovieID = T1.MovieID WHERE T3.Title = 'Batman' ORDER BY T1.screentime DESC LIMIT 1	movie
SELECT COUNT(*) FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE CAST(REPLACE(REPLACE(T2.NetWorth, ',', ''), '$', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(REPLACE(NetWorth, ',', ''), '$', '') AS REAL)) FROM actor)	movie
SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Chanice Kobolowski'	movie
SELECT T2.`Date of Birth` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Sully'	movie
SELECT T2.`Birth City` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Gabriel Martin'	movie
SELECT T2.Biography FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Michael Moscovitz'	movie
SELECT T2.`Height (Inches)` FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Lurch'	movie
SELECT T2.`Character Name` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'G.I. Joe: The Rise of Cobra' AND T2.creditOrder = '3'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'American Hustle' AND T2.creditOrder = '2'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.`Release Date` = '2015-10-26' AND T2.creditOrder = '1'	movie
SELECT CAST(SUM(CASE WHEN T3.`Birth Country` = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.`Birth Country`) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Mrs. Doubtfire'	movie
SELECT CAST(SUM(CASE WHEN T3.`Date of Birth` > '1970-01-01' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.`Date of Birth`) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Dawn of the Planet of the Apes'	movie
SELECT MovieID FROM movie WHERE Rating BETWEEN 7 AND 8 AND Budget = 15000000	movie
SELECT COUNT(*) FROM movie WHERE `MPAA Rating` = 'PG' AND `Release Date` LIKE '1990-06%'	movie
SELECT Name FROM actor WHERE ActorID = 439 AND Gender = 'Male' AND Ethnicity = 'White'	movie
SELECT T1.Genre FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.`Birth City` = 'New York City' AND T1.Rating > 5	movie
SELECT COUNT(*) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Genre = 'Romance' AND T3.Name = 'John Travolta'	movie
SELECT T3.`Height (Inches)`, T3.NetWorth FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Three Men and a Little Lady'	movie
SELECT T1.Genre FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.`MPAA Rating` = 'PG' ORDER BY CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) DESC LIMIT 1	movie
SELECT T3.NetWorth FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Misery' AND T3.`Height (Inches)` BETWEEN 60 AND 70 AND T3.Gender = 'Male'	movie
SELECT COUNT(*) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Ghost' AND T3.Gender = 'Male' AND T3.`Birth Country` = 'USA'	movie
SELECT T1.`MPAA Rating`, T1.Title FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Leonardo DiCaprio' ORDER BY T1.Budget DESC LIMIT 1	movie
SELECT T3.NetWorth, T3.`Date of Birth` FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Die Hard 2' AND T3.`Height (Inches)` BETWEEN 60 AND 65	movie
SELECT T1.Runtime FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Ethnicity = 'African American' AND T3.`Date of Birth` = '1954-12-28'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Gross = 136766062 AND T2.`Character Name` = 'Don Altobello' AND T1.Genre = 'Drama'	movie
SELECT SUM(T1.Gross) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) > 375000000 AND T1.Rating < 7 AND T1.Genre = 'Comedy'	movie
SELECT T1.Runtime FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Name = 'Jackie Chan' AND T1.Rating > 7	movie
SELECT SUM(CASE WHEN CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) > 400000000 THEN 1 ELSE 0 END) - SUM(CASE WHEN CAST(REPLACE(REPLACE(T3.NetWorth, ',', ''), '$', '') AS REAL) < 400000000 THEN 1 ELSE 0 END) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Genre = 'Drama'	movie
SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.Gender = 'Female' AND T1.Title = 'Godzilla' AND T3.`Birth City` = 'Sherman Oaks' AND T3.`Height (Inches)` * 100 > ( SELECT AVG(`Height (Inches)`) FROM actor ) * 50	movie
SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'	social_media
SELECT text FROM twitter WHERE IsReshare = 'TRUE'	social_media
SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000	social_media
SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'	social_media
SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )	social_media
SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' LIMIT 1	social_media
SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Sentiment > 0 AND T2.City = 'Buenos Aires'	social_media
SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1	social_media
SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.Weekday = 'Thursday'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T3.Gender = 'Male' AND T2.Country = 'Argentina'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'	social_media
SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'	social_media
SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0	social_media
SELECT COUNT(UserID) AS user_number FROM user WHERE Gender = 'Unknown'	social_media
SELECT COUNT(State) AS State_number FROM location WHERE Country = 'United Kingdom'	social_media
SELECT DISTINCT StateCode FROM location WHERE State = 'Gwynedd'	social_media
SELECT DISTINCT LocationID FROM location WHERE State = 'West Sussex'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'	social_media
SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Reach = 547851	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Sentiment > 0 AND T2.State = 'Ha Noi'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Connecticut' ORDER BY T1.Klout DESC LIMIT 1	social_media
SELECT COUNT(T1.Likes) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.State = 'Wisconsin' AND T3.Gender = 'Female'	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'	social_media
SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.text = 'One of our favorite stories is @FINRA_News''s move to the cloud with AWS Enterprise Support! https://amp.twimg.com/v/991837f1-4815-4edc-a88f-e68ded09a02a'	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Weekday = 'Wednesday' ORDER BY T1.Klout DESC LIMIT 1	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Likes DESC LIMIT 1	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'	social_media
SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'	social_media
SELECT SUM(CASE WHEN T3.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.State = 'Florida'	social_media
SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'	social_media
SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'	social_media
SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'	social_media
SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'	social_media
SELECT LocationID FROM twitter WHERE TweetID = 'tw-682714048199311366'	social_media
SELECT COUNT(TweetID) FROM twitter WHERE Weekday = 'Wednesday'	social_media
SELECT text FROM twitter WHERE Weekday = 'Thursday'	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'	social_media
SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1	social_media
SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30	social_media
SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'	social_media
SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Likes) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1	social_media
SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.TweetID = 'tw-682723090279841798'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'	social_media
SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'	social_media
SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1	social_media
SELECT SUM(T1.Likes) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'ru' AND T2.Gender = 'Male'	social_media
SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31	social_media
SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Klout > 50	social_media
SELECT text FROM twitter WHERE Lang != 'en'	social_media
SELECT UserID FROM twitter GROUP BY UserID ORDER BY COUNT(DISTINCT TweetID) DESC LIMIT 1	social_media
SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'	social_media
SELECT text FROM twitter ORDER BY Reach DESC LIMIT 3	social_media
SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE IsReshare = 'TRUE' AND Likes > 100	social_media
SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'	social_media
SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Likes DESC LIMIT 1	social_media
SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'	social_media
SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0	social_media
SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'	social_media
SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1	social_media
SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN T2.City = 'Chiang Mai' THEN 1 ELSE 0 END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')	social_media
SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'	social_media
SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3	social_media
SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0	social_media
SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1	social_media
SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'	social_media
SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')	social_media
SELECT name FROM course WHERE name = 'Intro to BlockChain' OR name = 'Computer Network' ORDER BY diff DESC LIMIT 1	cs_semester
SELECT name FROM course WHERE credit < ( SELECT credit FROM course WHERE name = 'Machine Learning Theory' )	cs_semester
SELECT COUNT(prof_id) FROM prof WHERE popularity > ( SELECT popularity FROM prof WHERE first_name = 'Zhihua' AND last_name = 'Zhou' )	cs_semester
SELECT phone_number FROM student WHERE l_name = 'Pryor' AND f_name = 'Kerry'	cs_semester
SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Faina' AND T3.l_name = 'Mallinar'	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.first_name = 'Sauveur' AND T2.last_name = 'Skyme'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN RA AS T2 ON T1.student_id = T2.student_id WHERE T2.capability = 5	cs_semester
SELECT COUNT(T1.prof_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.first_name = 'Ogdon' AND T1.salary = 'med' AND T2.last_name = 'Zywicki'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Machine Learning Theory'	cs_semester
SELECT COUNT(student_id) FROM registration WHERE grade = 'B' AND student_id IN ( SELECT student_id FROM student WHERE gpa > 3 AND course_id IN ( SELECT course_id FROM course WHERE name = 'Machine Learning Theory' ) )	cs_semester
SELECT T3.name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T1.f_name = 'Laughton' AND T1.l_name = 'Antonio'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T2.grade IS NULL AND T3.name = 'Intro to Database 2'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE (T1.f_name = 'Laughton' OR T1.f_name = 'Willie') AND (T1.l_name = 'Antonio' OR T1.l_name = 'Rechert') AND T3.name = 'Machine Learning Theory' ORDER BY T2.sat DESC LIMIT 1	cs_semester
SELECT COUNT(*) FROM ( SELECT T2.prof_id FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.gender = 'Male' GROUP BY T1.prof_id HAVING COUNT(T1.student_id) > 3 )	cs_semester
SELECT COUNT(T1.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Machine Learning Theory' AND T1.type = 'UG'	cs_semester
SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Willie' AND T3.l_name = 'Rechert'	cs_semester
SELECT SUM(T3.gpa) / COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T1.student_id = T3.student_id WHERE T2.first_name = 'Ogdon' AND T2.last_name = 'Zywicki'	cs_semester
SELECT CAST(SUM(T1.sat) AS REAL) / COUNT(T1.student_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.name = 'Machine Learning Theory'	cs_semester
SELECT COUNT(student_id) FROM student WHERE type = 'RPG'	cs_semester
SELECT f_name, l_name FROM student WHERE gpa = ( SELECT MAX(gpa) FROM student )	cs_semester
SELECT COUNT(T1.student_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T1.grade = 'A' AND T2.credit = '3' AND T2.diff = 1	cs_semester
SELECT COUNT(T1.student_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.diff = 5	cs_semester
SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Oliy' AND T3.l_name = 'Spratling'	cs_semester
SELECT T1.popularity FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Harrietta' AND T3.l_name = 'Lydford'	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.teachingability = '1' AND T2.gender = 'Female'	cs_semester
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, T2.teachingability FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id GROUP BY T1.prof_id HAVING COUNT(student_id) > 2 ) T ORDER BY T.teachingability DESC LIMIT 1	cs_semester
SELECT CASE grade WHEN 'A' THEN 4 WHEN 'B' THEN 3 WHEN 'C' THEN 2 ELSE 1 END AS result FROM registration WHERE student_id IN ( SELECT student_id FROM student WHERE f_name = 'Rik' AND l_name = 'Unsworth' AND course_id IN ( SELECT course_id FROM course WHERE name = 'Computer Network' ) )	cs_semester
SELECT COUNT(T1.course_id) FROM registration AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T2.f_name = 'Alvera' AND T2.l_name = 'McQuillin'	cs_semester
SELECT T3.f_name, T3.l_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T1.first_name = 'Zhihua' AND T3.type = 'RPG' AND T1.last_name = 'Zhou'	cs_semester
SELECT COUNT(T2.student_id) FROM course AS T1 INNER JOIN registration AS T2 ON T1.course_id = T2.course_id WHERE T1.name = 'Statistical learning'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Applied Deep Learning ' AND T2.grade IS NULL	cs_semester
SELECT T1.phone_number FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Intro to BlockChain' AND T2.grade = 'A'	cs_semester
SELECT CAST(SUM(CASE WHEN T3.type = 'TPG' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T1.student_id = T3.student_id WHERE T2.first_name = 'Ogdon' AND T2.last_name = 'Zywicki'	cs_semester
SELECT CAST(SUM(CASE WHEN T1.grade = 'B' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.student_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.name = 'Computer Network'	cs_semester
SELECT COUNT(course_id) FROM course WHERE diff = 5	cs_semester
SELECT first_name, last_name FROM prof WHERE graduate_from IN ( 'Brown University',  'Columbia University',  'Cornell University',  'Dartmouth College',  'Harvard University',  'Princeton University',  'University of Pennsylvania',  'Yale University' )	cs_semester
SELECT name FROM course WHERE credit = ( SELECT MAX(credit) FROM course ) AND diff = ( SELECT MAX(diff) FROM course )	cs_semester
SELECT COUNT(student_id) FROM student WHERE type = 'UG' AND intelligence = ( SELECT MAX(intelligence) FROM student )	cs_semester
SELECT COUNT(prof_id) FROM prof WHERE gender = 'Female' AND popularity = ( SELECT MAX(popularity) FROM prof )	cs_semester
SELECT COUNT(student_id) FROM student WHERE type = 'RPG'	cs_semester
SELECT COUNT(T2.student_id) FROM course AS T1 INNER JOIN registration AS T2 ON T1.course_id = T2.course_id WHERE T2.grade = 'A' AND T1.name = 'Applied Deep Learning '	cs_semester
SELECT T2.gpa FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'free'	cs_semester
SELECT T2.name FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T1.grade = 'A' AND T2.diff = 1 GROUP BY T2.name ORDER BY COUNT(T1.student_id) DESC LIMIT 1	cs_semester
SELECT COUNT(course_id) FROM registration WHERE student_id IN ( SELECT student_id FROM student WHERE gpa = ( SELECT MAX(gpa) FROM student ) )	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.first_name = 'Ogdon' AND T2.last_name = 'Zywicki'	cs_semester
SELECT DISTINCT T2.name FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T1.sat = 5	cs_semester
SELECT T3.name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T2.sat = 1 AND T1.intelligence = 1	cs_semester
SELECT T2.name FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T1.grade = 'A' AND T2.name IN ('Advanced Operating System', 'Intro to BlockChain') GROUP BY T2.name ORDER BY COUNT(T1.student_id) DESC LIMIT 1	cs_semester
SELECT T2.popularity FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id GROUP BY T1.prof_id, T1.capability ORDER BY COUNT(T1.student_id) DESC, T1.capability DESC LIMIT 1	cs_semester
SELECT CAST(COUNT(T1.student_id) AS REAL) / COUNT(DISTINCT T2.course_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.diff = 4	cs_semester
SELECT COUNT(T2.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id WHERE T2.grade IS NULL AND T1.gpa BETWEEN 3 AND 4	cs_semester
SELECT COUNT(T2.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id WHERE T2.grade = 'A' AND T1.type = 'UG'	cs_semester
SELECT AVG(T2.gpa), T2.f_name, T2.l_name FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'high' AND T1.capability = 5 GROUP BY T2.student_id	cs_semester
SELECT prof_id, student_id FROM RA WHERE capability = ( SELECT MIN(capability) FROM RA )	cs_semester
SELECT first_name, last_name FROM prof WHERE graduate_from = 'University of Boston'	cs_semester
SELECT course_id, student_id FROM registration WHERE grade IS NULL OR grade = ''	cs_semester
SELECT CAST(SUM(CASE WHEN gender = 'Male' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender = 'Female' THEN 1 ELSE 0 END) FROM prof	cs_semester
SELECT name, credit FROM course WHERE diff = ( SELECT MIN(diff) FROM course )	cs_semester
SELECT T3.f_name, T3.l_name, T3.gpa FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id ORDER BY T1.popularity DESC LIMIT 1	cs_semester
SELECT T2.f_name, T2.l_name, T2.email FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'free'	cs_semester
SELECT T3.f_name, T3.l_name, T2.capability, T3.gpa FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T1.first_name = 'Merwyn' AND T1.last_name = 'Conkay'	cs_semester
SELECT T1.f_name, T1.l_name, T2.grade FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Intro to BlockChain'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T2.grade = 'A' ORDER BY T3.diff DESC LIMIT 1	cs_semester
SELECT T1.first_name, T1.last_name, T1.graduate_from FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.f_name = 'Olia' AND T3.l_name = 'Rabier'	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Advanced Database Systems' ORDER BY T2.sat DESC LIMIT 1	cs_semester
SELECT CAST(SUM(T3.credit * CASE T1.grade WHEN 'A' THEN 4 WHEN 'B' THEN 3 WHEN 'C' THEN 2 WHEN 'D' THEN 1 ELSE 1 END) AS REAL) / COUNT(T3.credit) FROM registration AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T1.course_id = T3.course_id WHERE T2.f_name = 'Laughton' AND T2.l_name = 'Antonio'	cs_semester
SELECT DISTINCT T1.f_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T1.type = 'UG' AND T1.gpa > 3.7	cs_semester
SELECT T3.f_name, T3.l_name, T2.capability FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T1.graduate_from = 'University of Washington'	cs_semester
SELECT f_name, l_name, email, intelligence FROM student WHERE student_id IN ( SELECT student_id FROM RA WHERE salary = 'high' AND capability = ( SELECT MAX(capability) FROM RA ) )	cs_semester
SELECT T5.name, T5.credit FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T1.student_id = T3.student_id INNER JOIN registration AS T4 ON T3.student_id = T4.student_id INNER JOIN course AS T5 ON T4.course_id = T5.course_id WHERE T2.gender = 'Female' ORDER BY T2.teachingability DESC LIMIT 1	cs_semester
SELECT COUNT(prof_id) FROM prof WHERE gender = 'Female'	cs_semester
SELECT name FROM course WHERE diff = ( SELECT MAX(diff) FROM course )	cs_semester
SELECT COUNT(student_id) FROM student WHERE gpa BETWEEN 3.1 AND 3.7 AND type = 'UG'	cs_semester
SELECT credit FROM course WHERE name = 'Computer Vision'	cs_semester
SELECT T2.student_id FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'C for Programmers' AND T1.gpa = 2.5	cs_semester
SELECT T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Intro to Database 2' ORDER BY T2.sat DESC LIMIT 1	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'high' AND T2.gpa > 3	cs_semester
SELECT T3.name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T1.type = 'UG' ORDER BY T2.sat DESC LIMIT 1	cs_semester
SELECT T1.capability FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T2.type = 'RPG' AND T2.intelligence >= 4	cs_semester
SELECT COUNT(T1.student_id) FROM registration AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.grade = 'B' AND T2.intelligence = 3	cs_semester
SELECT T3.diff FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T2.grade = 'A' AND T1.intelligence = 5	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T1.capability = 5 ORDER BY T2.popularity DESC LIMIT 1	cs_semester
SELECT T1.name FROM course AS T1 INNER JOIN registration AS T2 ON T1.course_id = T2.course_id WHERE T2.grade = 'D'	cs_semester
SELECT T2.capability FROM student AS T1 INNER JOIN RA AS T2 ON T1.student_id = T2.student_id WHERE T1.f_name = 'Alvera' AND T1.l_name = 'McQuillin'	cs_semester
SELECT COUNT(T1.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.credit = 3 AND T1.gpa = 3.2	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T2.gpa = 3.5 AND T1.salary = 'low'	cs_semester
SELECT T2.email FROM registration AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T1.course_id = T3.course_id WHERE T1.grade = 'B' GROUP BY T3.diff HAVING T3.diff > AVG(T3.diff) * 0.8	cs_semester
SELECT CAST(SUM(CASE WHEN T1.salary = 'low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.salary) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.teachingability < 3	cs_semester
SELECT name FROM course WHERE credit = ( SELECT MAX(credit) FROM course ) AND diff = ( SELECT MAX(diff) FROM course )	cs_semester
SELECT CAST(SUM(teachingability) AS REAL) / COUNT(prof_id) FROM prof WHERE popularity = ( SELECT MAX(popularity) FROM prof )	cs_semester
SELECT CAST(SUM(sat) AS REAL) / COUNT(course_id) FROM registration WHERE grade = 'B'	cs_semester
SELECT f_name, l_name, phone_number FROM student WHERE gpa > 3 AND intelligence < 4	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN RA AS T2 ON T1.student_id = T2.student_id WHERE T2.capability > ( SELECT AVG(capability) FROM RA )	cs_semester
SELECT T1.f_name, T1.l_name, T3.name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T1.intelligence = 5 AND T1.gpa < 3	cs_semester
SELECT CAST(SUM(T1.capability) AS REAL) / COUNT(T1.student_id) FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T2.gpa < 2.5	cs_semester
SELECT T1.first_name, T1.last_name FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.intelligence = 1	cs_semester
SELECT AVG(T1.gpa) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.diff IN (2, 1) GROUP BY T3.diff	cs_semester
SELECT T2.f_name, T2.l_name, T1.capability FROM RA AS T1 INNER JOIN student AS T2 ON T2.student_id = T1.student_id INNER JOIN registration AS T3 ON T2.student_id = T3.student_id WHERE T3.grade IS NULL OR T3.grade = ''	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN registration AS T2 ON T2.student_id = T1.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T1.salary = 'high' AND T3.name = 'Computer Vision'	cs_semester
SELECT T1.first_name, T1.last_name, T1.popularity FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id GROUP BY T1.prof_id ORDER BY COUNT(T2.student_id) DESC LIMIT 1	cs_semester
SELECT T3.name, T2.f_name, T2.l_name FROM registration AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T1.course_id = T3.course_id WHERE T1.grade = 'A' GROUP BY T3.name ORDER BY COUNT(T1.student_id) DESC LIMIT 1	cs_semester
SELECT AVG(T2.sat) - ( SELECT AVG(T2.sat) FROM RA AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'free' ) AS diff FROM RA AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'high'	cs_semester
SELECT T1.graduate_from FROM prof AS T1 INNER JOIN RA AS T2 ON T1.prof_id = T2.prof_id INNER JOIN student AS T3 ON T2.student_id = T3.student_id WHERE T3.type = 'UG' GROUP BY T1.prof_id ORDER BY COUNT(T2.student_id) DESC LIMIT 1	cs_semester
SELECT T2.first_name, T2.last_name, T2.email FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.teachingability > ( SELECT AVG(teachingability) FROM prof ) GROUP BY T2.prof_id HAVING COUNT(T1.student_id) >= 2	cs_semester
SELECT CAST(( SELECT COUNT(*) FROM course WHERE name = 'Intro to Database 2' AND course_id IN ( SELECT course_id FROM registration WHERE sat = ( SELECT MAX(sat) FROM registration ) ) ) AS REAL) * 100  / COUNT(T1.student_id) FROM registration AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.name = 'Intro to Database 2'	cs_semester
SELECT f_name, l_name FROM student WHERE gpa = ( SELECT MAX(gpa) FROM student )	cs_semester
SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T1.salary = 'high' ORDER BY T2.teachingability DESC LIMIT 1	cs_semester
SELECT T1.salary FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T2.email = 'grosellg@hku.hk'	cs_semester
SELECT COUNT(T1.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Statistical learning' AND T2.sat = 4 AND T1.gpa = 3.8	cs_semester
SELECT COUNT(T1.student_id) FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.diff = 3 AND T1.intelligence = 2	cs_semester
SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Applied Deep Learning ' AND T2.grade = 'C'	cs_semester
SELECT T3.name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T2.sat = 1 AND T1.type = 'RPG'	cs_semester
SELECT SUM(CASE WHEN T2.type = 'UG' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.type = 'RPG' THEN 1 ELSE 0 END) FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.capability < 3	cs_semester
SELECT CAST(COUNT(p_id) AS REAL) / COUNT(DISTINCT p_id_dummy) AS avgnum FROM advisedBy GROUP BY p_id_dummy	computer_student
SELECT COUNT(DISTINCT p_id) FROM taughtBy WHERE course_id = 18	computer_student
SELECT course_id FROM course WHERE courseLevel = 'Level_500'	computer_student
SELECT COUNT(course_id) FROM course WHERE courseLevel = 'Level_300'	computer_student
SELECT T2.p_id, T2.course_id FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 AND T1.hasPosition <> 0	computer_student
SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_400'	computer_student
SELECT T3.course_id FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id INNER JOIN taughtBy AS T3 ON T2.p_id = T3.p_id WHERE T1.p_id = 141	computer_student
SELECT T1.p_id FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_3'	computer_student
SELECT T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id = 297	computer_student
SELECT T1.courseLevel, T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.course_id = 165	computer_student
SELECT T1.p_id, T2.yearsInProgram FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T1.p_id_dummy = 5	computer_student
SELECT T3.course_id, T3.courseLevel FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T1.course_id WHERE T2.hasPosition = 'Faculty_eme'	computer_student
SELECT T1.p_id_dummy, T2.courseLevel FROM advisedBy AS T1 INNER JOIN course AS T2 ON T1.p_id = T2.course_id INNER JOIN taughtBy AS T3 ON T2.course_id = T3.course_id WHERE T1.p_id = 80	computer_student
SELECT DISTINCT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_400' OR T1.courseLevel = 'Level_500'	computer_student
SELECT T1.p_id_dummy FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_12'	computer_student
SELECT T1.course_id, T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id, T1.courseLevel ORDER BY COUNT(T1.course_id) DESC LIMIT 1	computer_student
SELECT COUNT(*) FROM course WHERE courseLevel = 'Level_300'	computer_student
SELECT COUNT(*) FROM taughtBy WHERE course_id = 11	computer_student
SELECT course_id FROM taughtBy WHERE course_id = 11 OR course_id = 18 GROUP BY course_id ORDER BY COUNT(course_id) DESC LIMIT 1	computer_student
SELECT COUNT(*) FROM person WHERE hasPosition = 'Faculty_eme'	computer_student
SELECT p_id_dummy FROM advisedBy GROUP BY p_id_dummy HAVING COUNT(p_id_dummy) > 4	computer_student
SELECT COUNT(*) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id INNER JOIN person AS T3 ON T3.p_id = T2.p_id WHERE T1.courseLevel = 'Level_300' AND T3.professor = 1	computer_student
SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id INNER JOIN person AS T3 ON T3.p_id = T2.p_id WHERE T1.courseLevel = 'Level_300' AND T3.hasPosition = 'Faculty_eme'	computer_student
SELECT T2.hasPosition FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T1.course_id = 9	computer_student
SELECT T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id = 79	computer_student
SELECT T1.p_id_dummy FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_5'	computer_student
SELECT COUNT(DISTINCT T4.p_id) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id INNER JOIN advisedBy AS T4 ON T4.p_id = T1.p_id WHERE T1.professor = 1 AND T3.courseLevel = 'Level_300'	computer_student
SELECT COUNT(*) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id INNER JOIN person AS T3 ON T2.p_id = T3.p_id WHERE T3.professor = 1 AND T1.courseLevel = 'Level_300'	computer_student
SELECT T2.course_id FROM taughtBy AS T1 INNER JOIN course AS T2 ON T1.course_id = T2.course_id INNER JOIN advisedBy AS T3 ON T3.p_id = T1.p_id WHERE T1.p_id = 9	computer_student
SELECT T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id GROUP BY T2.course_id ORDER BY COUNT(T2.p_id) DESC LIMIT 1	computer_student
SELECT T1.p_id FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.professor = 1 GROUP BY T1.p_id HAVING COUNT(DISTINCT T1.course_id) > 3	computer_student
SELECT T1.p_id FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.professor = 1 GROUP BY T1.p_id ORDER BY COUNT(*) DESC LIMIT 3	computer_student
SELECT COUNT(DISTINCT T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_3'	computer_student
SELECT CAST(COUNT(T1.course_id) AS REAL) / COUNT(DISTINCT T2.p_id) AS num FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.professor = 1	computer_student
SELECT CAST(SUM(CASE  WHEN professor = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE  WHEN student = 1 THEN 1 ELSE 0 END) AS per FROM person	computer_student
SELECT CAST(SUM(CASE  WHEN courseLevel = 'Level_400' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM course	computer_student
SELECT p_id FROM taughtBy WHERE course_id = 18	computer_student
SELECT T2.hasPosition, T1.p_id_dummy FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id_dummy = T2.p_id WHERE T1.p_id = 303	computer_student
SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_aff'	computer_student
SELECT T2.yearsInProgram, T2.inPhase FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id GROUP BY T1.p_id ORDER BY COUNT(*) DESC LIMIT 1	computer_student
SELECT T1.p_id, T2.p_id FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id_dummy = T2.p_id WHERE hasPosition = 'Faculty_eme'	computer_student
SELECT T1.course_id, T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id BETWEEN 40 AND 50	computer_student
SELECT T1.courseLevel, T1.course_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T2.p_id = 141	computer_student
SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T3.course_id = 104 AND T1.hasPosition <> 0	computer_student
SELECT T1.p_id, T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T3.courseLevel = 'Level_400' AND T2.course_id < 10	computer_student
SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_300' AND T1.course_id > 121 AND T1.course_id < 130	computer_student
SELECT T1.p_id_dummy, T2.hasPosition FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_8'	computer_student
SELECT T1.course_id, T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' LIMIT 5	computer_student
SELECT COUNT(*) FROM advisedBy WHERE p_id_dummy = 415	computer_student
SELECT COUNT(*) FROM course WHERE courseLevel = 'Level_500'	computer_student
SELECT COUNT(*) FROM person WHERE hasPosition = 0 AND inPhase = 0	computer_student
SELECT p_id FROM taughtBy GROUP BY p_id ORDER BY COUNT(course_id) ASC LIMIT 1	computer_student
SELECT COUNT(*) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T1.p_id_dummy = 5 AND T2.student = 1 AND T2.yearsInProgram = 'Year_5'	computer_student
SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' GROUP BY T2.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1	computer_student
SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_aff' AND T1.professor = 1 AND T3.courseLevel = 'Level_500'	computer_student
SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' GROUP BY T2.p_id ORDER BY COUNT(T2.p_id) DESC LIMIT 5	computer_student
SELECT COUNT(T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_1' AND T2.student = 1	computer_student
SELECT COUNT(*) FROM ( SELECT COUNT(T2.p_id) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_400' GROUP BY T2.p_id HAVING COUNT(DISTINCT T1.course_id) <= 2 )	computer_student
SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_eme' AND T1.professor = 1 AND T3.courseLevel = 'Level_400'	computer_student
SELECT T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1	computer_student
SELECT T2.yearsInProgram FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.student = 1 GROUP BY T2.p_id HAVING COUNT(T2.p_id) > 2	computer_student
SELECT COUNT(*) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_300'	computer_student
SELECT T2.yearsInProgram FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.student = 1 GROUP BY T2.yearsInProgram ORDER BY COUNT(T1.p_id_dummy) DESC LIMIT 1	computer_student
SELECT COUNT(T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.inPhase = 'Pre_Quals' AND T2.student = 1	computer_student
SELECT CAST(COUNT(T1.course_id) AS REAL) / COUNT(DISTINCT T2.p_id) FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500'	computer_student
SELECT COUNT(*) FROM ( SELECT COUNT(course_id) FROM taughtBy GROUP BY course_id HAVING COUNT(course_id) > 4 )	computer_student
SELECT COUNT(course_id) FROM course WHERE courseLevel = 'Level_500'	computer_student
SELECT COUNT(*) FROM person WHERE yearsInProgram = 'Year_1' OR yearsInProgram = 'Year_2'	computer_student
SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 AND T1.hasPosition <> 0	computer_student
SELECT T1.p_id, T1.hasPosition FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1	computer_student
SELECT DISTINCT T2.course_id FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id WHERE T1.professor = 1 AND T1.hasPosition = 0	computer_student
SELECT T1.p_id, T3.courseLevel FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id GROUP BY T1.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1	computer_student
SELECT device_id FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age )	talkingdata
SELECT COUNT(event_id) FROM `events` WHERE latitude = 40 AND longitude = 97	talkingdata
SELECT COUNT(gender) FROM gender_age WHERE gender = 'M' AND `group` = 'M32-38'	talkingdata
SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F'	talkingdata
SELECT COUNT(is_active) FROM app_events WHERE event_id = 2 AND is_active = 1	talkingdata
SELECT gender FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )	talkingdata
SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id ORDER BY T2.age DESC LIMIT 1	talkingdata
SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id WHERE T2.category = 'Home Decoration'	talkingdata
SELECT COUNT(T3.gender) FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T2.event_id = T1.event_id INNER JOIN gender_age AS T3 ON T3.device_id = T2.device_id WHERE T1.is_active = 1 AND T3.gender = 'M' AND T2.timestamp LIKE '2016-05-01%'	talkingdata
SELECT COUNT(T1.gender) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'F' AND T2.device_model = 'ZenFone 5'	talkingdata
SELECT T3.age FROM app_events AS T1 INNER JOIN events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE T1.is_active = 1 AND T2.longitude = 121 AND T2.latitude = 31 AND SUBSTR(T2.timestamp, 1, 10) = '2016-05-06' ORDER BY T3.age DESC LIMIT 1	talkingdata
SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F27-28' AND T1.gender = 'F' ORDER BY T2.device_id DESC LIMIT 1	talkingdata
SELECT T4.category FROM events_relevant AS T1 INNER JOIN app_events_relevant AS T2 ON T1.event_id = T2.event_id INNER JOIN app_labels AS T3 ON T3.app_id = T2.app_id INNER JOIN label_categories AS T4 ON T3.label_id = T4.label_id ORDER BY T1.timestamp LIMIT 2	talkingdata
SELECT T.gender FROM ( SELECT T2.gender, COUNT(T2.gender) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' GROUP BY T2.gender ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id GROUP BY T1.app_id, T2.category ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id WHERE T1.category = 'MOBA'	talkingdata
SELECT SUM(IIF(T2.gender = 'F', 1, 0)) * 100 / COUNT(T2.device_id) AS perFemale , SUM(IIF(T2.gender = 'M', 1, 0)) * 100 / COUNT(T2.device_id) AS perMale FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'OPPO'	talkingdata
SELECT longitude, latitude FROM `events` WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-08'	talkingdata
SELECT app_id , IIF(is_installed = 1, 'YES', 'NO') AS status FROM app_events WHERE event_id = 844	talkingdata
SELECT COUNT(event_id) FROM events WHERE SUBSTR(`timestamp`, 1, 10) = '2016-04-30'	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'Xplay3S' AND phone_brand = 'vivo'	talkingdata
SELECT SUM(IIF(gender = 'M' AND `group` = 'M27-28', 1, 0)) / SUM(IIF(gender = 'F' AND `group` = 'F27-28', 1, 0)) AS r FROM gender_age	talkingdata
SELECT label_id FROM label_categories WHERE category IN ('online shopping', 'online malls')	talkingdata
SELECT DISTINCT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T2.device_id = T1.device_id WHERE T1.timestamp LIKE '2016-05-05%' AND T1.longitude = 112 AND T1.latitude = 44	talkingdata
SELECT T1.app_id, T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 82	talkingdata
SELECT T1.gender, T1.age FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.event_id = 15251	talkingdata
SELECT COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.gender = 'M' AND SUBSTR(`timestamp`, 1, 10) = '2016-05-04' AND T1.age = 88	talkingdata
SELECT DISTINCT T1.age, T1.gender, COUNT(T2.event_id) FROM gender_age AS T1 INNER JOIN `events` AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = -102 AND T2.latitude = 38 GROUP BY T1.age, T1.gender, T2.longitude, T2.latitude	talkingdata
SELECT DISTINCT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T2.longitude = 80 AND T2.latitude = 44	talkingdata
SELECT DISTINCT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id INNER JOIN app_events AS T3 ON T3.app_id = T2.app_id WHERE T3.event_id = 155	talkingdata
SELECT T2.device_id FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Butterfly' AND T2.gender = 'F' AND T1.phone_brand = 'HTC' LIMIT 5	talkingdata
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id WHERE T1.category = 'science fiction'	talkingdata
SELECT T2.age, T2.gender FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG' AND T1.device_model = 'L70'	talkingdata
SELECT SUM(IIF(T1.category = 'Industry tag', 1, 0)) * 100 / COUNT(T2.app_id) AS per FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T2.label_id = T1.label_id	talkingdata
SELECT SUM(IIF(T1.device_model = 'Nexus 5', 1, 0)) * 100 / COUNT(T1.device_id) AS per , SUM(IIF(T1.device_model = 'Nexus 5' AND T2.gender = 'M', 1, 0)) / SUM(IIF(T1.device_model = 'Nexus 5' AND T2.gender = 'F', 1, 0)) AS r FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'LG'	talkingdata
SELECT COUNT(event_id) FROM app_events WHERE event_id = 2 AND is_active = 0	talkingdata
SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016'	talkingdata
SELECT COUNT(event_id) FROM `events` WHERE SUBSTR(`timestamp`, 1, 4) = '2016' AND device_id = 29182687948017100	talkingdata
SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M'	talkingdata
SELECT MAX(age) FROM gender_age	talkingdata
SELECT COUNT(device_id) FROM gender_age WHERE age < 30 AND gender = 'F'	talkingdata
SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T2.gender = 'F' AND T1.device_model = 'Galaxy Note 2'	talkingdata
SELECT T2.age FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.device_model = 'Galaxy Note 2'	talkingdata
SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age ) )	talkingdata
SELECT T.`group` FROM ( SELECT T2.`group`, COUNT(`group`) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' GROUP BY T2.`group` ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T2.label_id = T1.label_id WHERE T2.category = 'Securities'	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 1977658975649780000	talkingdata
SELECT DISTINCT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.event_id = 2 AND T3.is_active = 0	talkingdata
SELECT DISTINCT T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T2.event_id = 2 AND T1.is_active = 0	talkingdata
SELECT T2.timestamp FROM app_events AS T1 INNER JOIN events AS T2 ON T2.event_id = T1.event_id WHERE T1.is_active = 0 AND T2.event_id = 2 ORDER BY T2.timestamp LIMIT 1	talkingdata
SELECT T2.event_id FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo'	talkingdata
SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T2.device_id = T1.device_id WHERE T1.phone_brand = 'vivo' AND T2.event_id = 2	talkingdata
SELECT T1.timestamp FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.event_id = '2'	talkingdata
SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE STRFTIME('%Y', T1.timestamp) = '2016' AND T2.phone_brand = 'vivo'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'vivo' AND T1.age < 30	talkingdata
SELECT T.category FROM ( SELECT T1.category, COUNT(T2.app_id) AS num FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id GROUP BY T1.label_id ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT phone_brand FROM phone_brand_device_model2 WHERE device_id IN ( SELECT * FROM ( SELECT device_id FROM gender_age WHERE gender = 'F' ORDER BY age LIMIT 1 ) AS T )	talkingdata
SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' AND T2.phone_brand = 'vivo'	talkingdata
SELECT SUM(IIF(T1.`group` = 'M23-26', 1.0, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'	talkingdata
SELECT SUM(IIF(T2.phone_brand = 'vivo', 1, 0)) / COUNT(T1.device_id) AS per FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.event_id = T2.device_id WHERE T1.event_id = '2'	talkingdata
SELECT AVG(age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'	talkingdata
SELECT COUNT(device_id) FROM gender_age WHERE `group` = 'F27-28' AND gender = 'F'	talkingdata
SELECT MAX(age) FROM gender_age WHERE gender = 'M'	talkingdata
SELECT COUNT(app_id) FROM app_events WHERE is_installed = 1 AND is_active = 0	talkingdata
SELECT MIN(age) FROM gender_age WHERE gender = 'F'	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'	talkingdata
SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 15	talkingdata
SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.`group` = 'M39+' AND T2.gender = 'M' LIMIT 10	talkingdata
SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id INNER JOIN app_events AS T3 ON T2.event_id = T3.event_id WHERE T3.is_active = 1 AND T3.is_installed = 1 LIMIT 5	talkingdata
SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T2.category = 'Financial Information'	talkingdata
SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T2.category = 'game-Art Style'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND T1.gender = 'M'	talkingdata
SELECT device_model FROM phone_brand_device_model2 WHERE device_id IN ( SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age ) )	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id ORDER BY T2.label_id LIMIT 3	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Ace Plus' AND T1.gender = 'M'	talkingdata
SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.`group`) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T.device_model FROM ( SELECT T2.device_model, COUNT(T2.device_model) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' GROUP BY T2.device_model ) AS T ORDER BY T.num DESC LIMIT 5	talkingdata
SELECT SUM(IIF(T1.category = '80s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J8 , SUM(IIF(T1.category = '90s Japanese comic', 1, 0)) / COUNT(T1.label_id) AS J9 FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id	talkingdata
SELECT SUM(IIF(T1.phone_brand = 'OPPO', 1, 0)) / SUM(IIF(T1.device_id = 'R815T', 1, 0)) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'	talkingdata
SELECT phone_brand FROM phone_brand_device_model2 WHERE device_model = '坚果手机'	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = '中兴'	talkingdata
SELECT `group` FROM gender_age WHERE age = '24'	talkingdata
SELECT timestamp FROM events WHERE event_id = '887711'	talkingdata
SELECT COUNT(event_id) FROM events WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-06'	talkingdata
SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.event_id WHERE T2.longitude = '113' AND T2.latitude = '28' AND T2.timestamp = '2016-05-07 23:55:16'	talkingdata
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Fishing'	talkingdata
SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F29-32' AND T2.device_model = '魅蓝Note 2'	talkingdata
SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30'	talkingdata
SELECT COUNT(T1.event_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-06' AND T1.is_installed = '1'	talkingdata
SELECT COUNT(T2.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.phone_brand = 'E派'	talkingdata
SELECT COUNT(T1.device_id) FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_model = 'Galaxy S5' AND T2.gender = 'M'	talkingdata
SELECT COUNT(T1.app_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.event_id = T3.device_id WHERE SUBSTR(T2.`timestamp`, 1, 10) = '2016-05-07' AND T1.is_active = '1' AND T3.`group` = 'F29-32'	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = '894384172610331000'	talkingdata
SELECT COUNT(T1.app_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T2.timestamp = '2016-05-06 14:09:49' AND T1.is_active = '1' AND T2.longitude = '116' AND T2.latitude = '40'	talkingdata
SELECT SUM(IIF(timestamp = '2016-05-02 7:50:28', 1, 0)) / SUM(IIF(timestamp = '2016-05-02 7:41:03', 1, 0)) AS num FROM events AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.is_active = '1'	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'vivo'	talkingdata
SELECT SUM(IIF(phone_brand = 'vivo', 1, 0)) - SUM(IIF(phone_brand = 'LG', 1, 0)) AS num FROM phone_brand_device_model2	talkingdata
SELECT device_id FROM gender_age WHERE age = ( SELECT MIN(age) FROM gender_age )	talkingdata
SELECT COUNT(device_id) FROM gender_age WHERE age > 30 AND gender = 'F'	talkingdata
SELECT gender FROM gender_age WHERE age = ( SELECT MAX(age) FROM gender_age )	talkingdata
SELECT MIN(age) FROM gender_age WHERE gender = 'F'	talkingdata
SELECT T1.age FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' ORDER BY T1.age LIMIT 1	talkingdata
SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Securities'	talkingdata
SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE STRFTIME('%Y', T2.timestamp) = '2016' AND T1.`group` = 'M23-26'	talkingdata
SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T1.longitude, T1.latitude FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'	talkingdata
SELECT T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F'	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 7324884708820020000	talkingdata
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.is_active = 0 AND T1.category = 'Property Industry 1.0' AND T3.event_id = 2	talkingdata
SELECT COUNT(*) FROM ( SELECT COUNT(DISTINCT T1.category) AS result FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.event_id = 2 AND T3.is_active = 0 GROUP BY T1.category ) T	talkingdata
SELECT T.device_model FROM ( SELECT T2.device_model, COUNT(T2.device_model) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age > 30 AND T1.gender = 'F' GROUP BY T2.device_model ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.longitude = 121 AND T1.latitude = 31	talkingdata
SELECT T.category FROM ( SELECT T2.category, COUNT(T1.app_id) AS num FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id GROUP BY T2.category ) AS T ORDER BY T.num DESC LIMIT 3	talkingdata
SELECT T2.event_id FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id ORDER BY T1.age DESC LIMIT 1	talkingdata
SELECT COUNT(T1.event_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T2.gender = 'F' GROUP BY T1.event_id, T2.age ORDER BY T2.age LIMIT 1	talkingdata
SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.timestamp = '2016-05-01' AND T2.gender = 'M'	talkingdata
SELECT IIF(SUM(IIF(T2.category = 'Securities', 1, 0)) - SUM(IIF(T2.category = 'Finance', 1, 0)) > 0, 'Securities', 'Finance') AS diff FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id	talkingdata
SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26'	talkingdata
SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T1.gender = 'F'	talkingdata
SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'	talkingdata
SELECT SUM(IIF(T2.category = 'Securities', 1, 0)) / SUM(IIF(T2.category = 'Finance', 1, 0)) AS per FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id	talkingdata
SELECT label_id FROM label_categories WHERE category = 'Third-party card management'	talkingdata
SELECT SUM(IIF(is_active = 1, 1, 0)) / SUM(IIF(is_active = 0, 1, 0)) AS per FROM app_events WHERE event_id = 58	talkingdata
SELECT COUNT(event_id) FROM events WHERE device_id = 3915082290673130000	talkingdata
SELECT SUM(IIF(gender = 'M', 1, 0)) / COUNT(device_id) AS per FROM gender_age	talkingdata
SELECT COUNT(event_id) FROM events WHERE longitude = -156	talkingdata
SELECT COUNT(app_id) FROM app_labels WHERE label_id = 48	talkingdata
SELECT COUNT(label_id) FROM label_categories WHERE category LIKE 'game%'	talkingdata
SELECT COUNT(event_id) FROM events WHERE longitude = 80 AND latitude = 37	talkingdata
SELECT T1.label_id, T2.category FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T1.app_id = 5758400314709850000	talkingdata
SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-Rowing'	talkingdata
SELECT T1.label_id, T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Chinese Classical Mythology'	talkingdata
SELECT COUNT(T1.app_id), T2.longitude, T2.latitude FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 79641 GROUP BY T2.longitude, T2.latitude	talkingdata
SELECT T1.longitude, T1.latitude, T1.timestamp FROM events AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = 8715964299802120000	talkingdata
SELECT COUNT(T1.device_id) FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO' AND STRFTIME('%Y-%m-%d', T1.`timestamp`) = '2016-05-01'	talkingdata
SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' AND T2.device_model = 'X5Pro'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'Z1' AND T1.`group` = 'F23-' AND T2.phone_brand = 'ZUK'	talkingdata
SELECT T2.phone_brand, T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age < 10	talkingdata
SELECT SUM(IIF(T1.gender = 'F' AND T1.age > 80, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'HTC'	talkingdata
SELECT T2.phone_brand, T2.device_model FROM events AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.event_id = 6701	talkingdata
SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT timestamp FROM events WHERE event_id = 12	talkingdata
SELECT COUNT(app_id) FROM app_events WHERE is_active = 1	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE device_model = 'A51'	talkingdata
SELECT gender FROM gender_age WHERE device_id = -9222956879900150000	talkingdata
SELECT COUNT(label_id) FROM label_categories WHERE category = 'game-card'	talkingdata
SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' AND T1.age < 30	talkingdata
SELECT SUM(IIF(T1.age < 50, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'OPPO'	talkingdata
SELECT SUM(T1.age) / COUNT(T1.device_id) AS avg FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'R7'	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000	talkingdata
SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG'	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 4955831798976240000	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T2.device_model = 'MI 3'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 820' AND T1.gender = 'M'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'ELIFE E7 Mini' AND T1.age > 20	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 50 AND T2.device_model = 'Galaxy Premier'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 60 AND T2.phone_brand = 'TCL'	talkingdata
SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'	talkingdata
SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'	talkingdata
SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'	talkingdata
SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1	talkingdata
SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7	talkingdata
SELECT device_id FROM gender_age_train WHERE age BETWEEN 29 AND 31 AND gender = 'F'	talkingdata
SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever'	talkingdata
SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T.phone_brand FROM ( SELECT T1.phone_brand, COUNT(T4.is_active) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id INNER JOIN events_relevant AS T3 ON T2.device_id = T3.device_id INNER JOIN app_events_relevant AS T4 ON T3.event_id = T4.event_id WHERE T4.is_active = 1 GROUP BY T1.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.gender = 'M' AND T3.is_active = 0 AND T1.age < 23	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.age < 23 AND T1.gender = 'F' AND T3.is_active = 0 AND T3.is_installed = 1	talkingdata
SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age > 50 AND T2.device_model != 'One M8 Eye' AND T2.phone_brand != 'HTC'	talkingdata
SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30	talkingdata
SELECT SUM(IIF(T1.gender = 'F', 1, 0)) / SUM(IIF(T1.gender = 'M', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 0	talkingdata
SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 1 AND T3.is_active = 0	talkingdata
SELECT event_id FROM events WHERE timestamp LIKE '2016-05-01%' AND latitude = 31 LIMIT 3	talkingdata
SELECT event_id FROM events WHERE longitude = 0 AND latitude = 0 LIMIT 3	talkingdata
SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'	talkingdata
SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3	talkingdata
SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5	talkingdata
SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3	talkingdata
SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6	talkingdata
SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'	talkingdata
SELECT COUNT(T1.app_id) AS num FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 2 AND T1.is_active = 1 GROUP BY T2.timestamp	talkingdata
SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000	talkingdata
SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'	talkingdata
SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'	talkingdata
SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7	talkingdata
SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000	talkingdata
SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG' AND T2.device_model = 'Nexus 4'	talkingdata
SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'	talkingdata
SELECT SUM(IIF(T1.category = 'Academic Information', 1.0, 0)) / COUNT(T2.app_id) AS per FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id	talkingdata
SELECT SUM(IIF(T1.`group` = 'F27-28', 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE SUBSTR(T2.timestamp, 1, 10) = '2016-05-03'	talkingdata
SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO'	talkingdata
SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T	talkingdata
SELECT COUNT(event_id) FROM events WHERE device_id = 4069764298338760000	talkingdata
SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T2.category = 'Equity Fund'	talkingdata
SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'	talkingdata
SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 3' AND T1.gender = 'M'	talkingdata
SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'	talkingdata
SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1	talkingdata
SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'	talkingdata
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Refuge: Part 1'	law_episode
SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.season = 9 AND T1.episode = 23	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'laundering money'	law_episode
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.rating > 8	law_episode
SELECT T2.votes FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished' AND T2.stars = 10	law_episode
SELECT SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 ORDER BY T2.votes DESC LIMIT 1	law_episode
SELECT T2.role FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Cherished' AND T3.name = 'Park Dietz' AND T2.credited = 'true'	law_episode
SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished' AND T2.credited = 'false'	law_episode
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Cherished' AND T2.credited = 'true' AND T2.role = 'technical advisor'	law_episode
SELECT COUNT(T3.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'true' AND T3.name = 'Park Dietz'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'true' AND T3.name = 'Park Dietz'	law_episode
SELECT T1.credited FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Anthony Azzara' AND T1.episode_id = 'tt0629204'	law_episode
SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Disciple'	law_episode
SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 1 ORDER BY T1.votes DESC LIMIT 1	law_episode
SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 20	law_episode
SELECT COUNT(T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 17 AND T2.credited = 'true'	law_episode
SELECT T1.summary FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.award_id = 296	law_episode
SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Joseph Blair'	law_episode
SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Rene Balcer'	law_episode
SELECT T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id GROUP BY T2.episode_id ORDER BY SUM(T1.votes) DESC LIMIT 1	law_episode
SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award_id = 313	law_episode
SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'J.K. Simmons'	law_episode
SELECT T2.votes FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 9 AND T1.title = 'Sideshow'	law_episode
SELECT CAST(SUM(CASE WHEN T1.title = 'Refuge: Part 1' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Shield' THEN 1 ELSE 0 END) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id	law_episode
SELECT CAST(COUNT(T1.episode_id) AS REAL) / (193 - 185 + 1) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T1.credited = 'true' AND T2.number_in_series BETWEEN 185 AND 193	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.credited = 'false' AND T1.episode_id = 'tt0629391'	law_episode
SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.result = 'Winner' GROUP BY T1.person_id HAVING COUNT(T2.award_id) >= 3	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629204' AND T1.role = 'script supervisor'	law_episode
SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Julia Roberts' AND T2.result = 'Nominee'	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'camera operator' ORDER BY T2.height_meters DESC LIMIT 1	law_episode
SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.year = 1999 AND T1.birth_country = 'Canada'	law_episode
SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10	law_episode
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield'	law_episode
SELECT CAST(SUM(CASE WHEN T2.stars = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North' AND T1.episode_id = 'tt0629477'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.episode_id ORDER BY COUNT(T2.keyword) DESC LIMIT 1	law_episode
SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE strftime('%Y', T1.air_date) = '1998' AND T2.organization = 'International Monitor Awards' AND T2.result = 'Winner'	law_episode
SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Agony' AND T2.result = 'Winner'	law_episode
SELECT SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.episode_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T2.series = 'Law and Order'	law_episode
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.votes NOT IN ( SELECT MAX(T1.votes) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id ) ORDER BY T1.votes DESC LIMIT 1	law_episode
SELECT COUNT(T2.award) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Agony' AND T2.result = 'Winner'	law_episode
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Flight' AND T2.role = 'Narrator'	law_episode
SELECT T2.organization FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Constantine Makris' AND T2.result = 'Winner' GROUP BY T2.organization ORDER BY COUNT(T2.award_id) DESC LIMIT 1	law_episode
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 3 AND T2.role = 'stunt coordinator'	law_episode
SELECT COUNT(T2.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Admissions' AND T2.credited = 'false'	law_episode
SELECT T2.title FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Art Department' GROUP BY T2.episode_id ORDER BY COUNT(T1.category) DESC LIMIT 1	law_episode
SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Julia Roberts'	law_episode
SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.votes >= 30 AND T1.stars = 10 ORDER BY T1.votes DESC LIMIT 3	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'Clerk' AND T2.birthdate IS NOT NULL ORDER BY T2.birthdate LIMIT 1	law_episode
SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 24 AND T2.stars = 1	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.category = 'Cast'	law_episode
SELECT T2.person_id, CAST(COUNT(T2.person_id) AS REAL) * 100 / ( SELECT COUNT(T2.person_id) AS num FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id ) AS per FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id GROUP BY T2.person_id ORDER BY COUNT(T2.person_id) DESC LIMIT 1	law_episode
SELECT DISTINCT episode_id FROM Award WHERE award_category = 'Primetime Emmy'	law_episode
SELECT COUNT(award_id) FROM Award WHERE Result = 'Nominee'	law_episode
SELECT DISTINCT role FROM Credit WHERE credited = 'false'	law_episode
SELECT title FROM Episode ORDER BY rating LIMIT 3	law_episode
SELECT birth_place, birth_region FROM Person WHERE birth_name = 'Rene Chenevert Balcer'	law_episode
SELECT name FROM Person WHERE birth_country = 'USA'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 1	law_episode
SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Winner' AND T2.role = 'director'	law_episode
SELECT SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Juvenile'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'false' AND T3.name = 'Anthony Azzara'	law_episode
SELECT DISTINCT T1.year FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.title = 'DWB' AND T1.result = 'Winner'	law_episode
SELECT T2.birth_region FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'president of NBC West Coast'	law_episode
SELECT COUNT(T3.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T3.name = 'Donna Villella'	law_episode
SELECT T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Nominee' AND T1.name = 'Julia Roberts'	law_episode
SELECT T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id INNER JOIN Award AS T3 ON T2.episode_id = T3.episode_id ORDER BY T1.height_meters DESC LIMIT 1	law_episode
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Nominee' GROUP BY T2.episode_id ORDER BY COUNT(T1.result) DESC LIMIT 1	law_episode
SELECT T1.rating FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T3.name = 'Jace Alexander'	law_episode
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 19 AND T1.season = 9	law_episode
SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.episode_id) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id INNER JOIN Vote AS T3 ON T2.episode_id = T3.episode_id WHERE T3.stars = 1 AND T1.name = 'Jim Bracchitta'	law_episode
SELECT CAST(SUM(CASE WHEN T2.role = 'Additional Crew' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North'	law_episode
SELECT T2.title, T2.summary, T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10 AND T1.votes = 72	law_episode
SELECT T2.air_date, T2.rating FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 6 AND T2.episode = 12	law_episode
SELECT T1.name, T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.year = 2000 AND T2.award_category = 'Edgar' AND T2.award = 'Best Television Episode'	law_episode
SELECT T2.organization, T2.year, T2.award, T2.award_category FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Rene Balcer' AND T2.result = 'Winner'	law_episode
SELECT t3.years, t3.episode_id FROM ( SELECT DISTINCT T2.year AS years, T2.episode_id, row_number() OVER (PARTITION BY T2.episode_id ORDER BY T2.year) AS rm FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award = 'Television' AND T2.award_category = 'Silver Gavel Award' AND T1.name = 'Constantine Makris' AND T2.result = 'Winner' AND T2.organization = 'American Bar Association Silver Gavel Awards for Media and the Arts' ) AS T3 GROUP BY t3.episode_id HAVING COUNT(t3.years - t3.rm) >= 2	law_episode
SELECT t3.name FROM ( SELECT DISTINCT T2.year AS years, T1.name, row_number() OVER (PARTITION BY T1.name ORDER BY T2.year) AS rm FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award = 'Television' AND T2.award_category = 'Silver Gavel Award' AND T2.series = 'Law and Order' AND T2.result = 'Winner' AND T2.organization = 'American Bar Association Silver Gavel Awards for Media and the Arts' ) AS T3 GROUP BY t3.name HAVING COUNT(t3.years - t3.rm) >= 2	law_episode
SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.year = 1999 AND T2.result = 'Nominee' AND T1.episode = 20 AND T2.organization = 'Primetime Emmy Awards' AND T1.series = 'Law and Order'	law_episode
SELECT T3.episode_id, T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id WHERE T2.year = 1999 AND T2.award = 'Outstanding Guest Actress in a Drama Series' AND T2.organization = 'Primetime Emmy Awards' AND T1.name = 'Julia Roberts' AND T2.result = 'Nominee'	law_episode
SELECT T1.title, T1.air_date FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.category = 'Produced by' AND T2.role = 'producer' AND T3.name = 'Billy Fox'	law_episode
SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629228' AND T1.category = 'Cast' AND T1.credited = 'false' AND T2.birth_country = 'USA'	law_episode
SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 9 AND T2.name = 'Jason Kuschner'	law_episode
SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 1 AND T1.role = 'president of NBC West Coast'	law_episode
SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars BETWEEN 1 AND 10 GROUP BY T2.title ORDER BY CAST(SUM(T1.stars * T1.percent) AS REAL) / 100 DESC LIMIT 3	law_episode
SELECT CAST(SUM(CASE WHEN T2.category = 'Cast' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category), T1.role FROM Award AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id INNER JOIN Person AS T4 ON T2.person_id = T4.person_id WHERE T3.episode = 2 AND T4.birth_country = 'USA'	law_episode
SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.birth_country = 'Canada'	law_episode
SELECT COUNT(T2.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Jerry Orbach'	law_episode
SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 9	law_episode
SELECT T2.award FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 20 AND T2.result IN ('Winner', 'Nominee')	law_episode
SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id GROUP BY T2.role HAVING COUNT(T2.award_id) > 1	law_episode
SELECT T3.name, T1.episode_id FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T2.person_id = T3.person_id WHERE T2.role = 'director' AND T2.result = 'Winner'	law_episode
SELECT T1.episode FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Nominee'	law_episode
SELECT SUM(rating) / COUNT(episode_id) FROM Episode WHERE season = 9	law_episode
SELECT SUM(CASE WHEN T2.episode = 24 THEN T1.votes ELSE 0 END) - SUM(CASE WHEN T2.episode = 1 THEN T1.votes ELSE 0 END) FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10	law_episode
SELECT T1.rating FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Winner' GROUP BY T1.episode_id ORDER BY COUNT(T2.award_id) DESC LIMIT 1	law_episode
SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.credited = 'true' AND T2.episode BETWEEN 1 AND 10	law_episode
SELECT T1.episode FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.Keyword = 'mafia'	law_episode
SELECT T2.person_id FROM Vote AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id ORDER BY T1.percent DESC LIMIT 1	law_episode
SELECT SUM(T1.rating) / COUNT(T1.episode) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id	law_episode
SELECT COUNT(award_id) FROM Award WHERE result = 'Winner' AND award = 'Television' AND organization = 'American Bar Association Silver Gavel Awards for Media and the Arts'	law_episode
SELECT birth_country FROM Person WHERE name = 'Michael Preston'	law_episode
SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Nominee' AND T1.role = 'Katrina Ludlow' AND T1.series = 'Law and Order'	law_episode
SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T1.award = 'Best Television Episode'	law_episode
SELECT T2.birthdate FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.role = 'writer'	law_episode
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Costume Design for a Series'	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.title ORDER BY SUM(T1.votes) DESC LIMIT 1	law_episode
SELECT T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T2.role = 'Alex Brown' AND T2.credited = 'true'	law_episode
SELECT DISTINCT T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T1.person_id = 'nm0007064' AND T2.role = 'Narrator' AND T2.credited = 'false'	law_episode
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield'	law_episode
SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T2.height_meters > 1.80	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword IN ('nun', 'priest')	law_episode
SELECT T2.episode_id FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Best Television Episode' AND T1.result = 'Winner' ORDER BY T2.rating DESC LIMIT 2	law_episode
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 LIMIT 3	law_episode
SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.date = '2008-03-11' AND T2.description = 'Body Height'	synthea
SELECT SUM(CASE WHEN strftime('%Y', T2.date) = '2009' THEN T2.VALUE END) - SUM(CASE WHEN strftime('%Y', T2.date) = '2008' THEN T2.VALUE END) AS increase , T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Height'	synthea
SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1	synthea
SELECT COUNT(T2.description) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.VALUE = ( SELECT MAX(VALUE) FROM observations WHERE description = 'Systolic Blood Pressure' ) LIMIT 1	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'	synthea
SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'	synthea
SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'	synthea
SELECT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.reasondescription = 'Streptococcal sore throat (disorder)'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.description LIKE 'Acetaminophen%'	synthea
SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'	synthea
SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'	synthea
SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis'	synthea
SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'	synthea
SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Norman' AND T1.last = 'Berge'	synthea
SELECT T2.reasondescription FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Annabelle' AND T1.last = 'Pouros' AND T2.start = '1970-12-19' AND T2.description = 'Leucovorin 100 MG Injection'	synthea
SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006'	synthea
SELECT DISTINCT T1."PREVALENCE RATE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'	synthea
SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'	synthea
SELECT COUNT(T2.BILLABLEPERIOD) FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Abbie' AND T1.last = 'Cole' AND T2.BILLABLEPERIOD BETWEEN '2010-12-31' AND '2012-01-01'	synthea
SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.billableperiod = '1947-09-11'	synthea
SELECT T2.description FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Hubert' AND T1.last = 'Baumbach' AND T2.date = '2008-10-25'	synthea
SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'	synthea
SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test'	synthea
SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'	synthea
SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy'	synthea
SELECT PATIENT FROM allergies WHERE STOP IS NOT NULL GROUP BY PATIENT ORDER BY CASE WHEN SUBSTR(STOP, -2, 1) != '9' THEN SUBSTR(STOP, LENGTH(STOP) - 1) + 2000 END - CASE WHEN SUBSTR(START, -2, 1) = '9' THEN SUBSTR(START, LENGTH(START) - 1) + 1900 ELSE SUBSTR(START, LENGTH(START) - 1) + 2000 END LIMIT 1	synthea
SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'	synthea
SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'	synthea
SELECT PATIENT FROM conditions WHERE START = ( SELECT MAX(START) FROM conditions WHERE DESCRIPTION = 'Hypertension' )	synthea
SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1	synthea
SELECT PATIENT FROM observations WHERE DESCRIPTION = 'Body Height' AND UNITS = 'cm' ORDER BY VALUE DESC LIMIT 1	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Ibuprofen 200 MG Oral Tablet' AND T1.ethnicity = 'dominican' AND strftime('%Y', T2.START) = '2016' AND strftime('%m', T2.STOP) - strftime('%m', T2.START) = 1	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE DESCRIPTION = 'Pneumonia' AND strftime('%Y', T1.birthdate) LIKE '192%'	synthea
SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'black' AND T2.DESCRIPTION = 'DTaP' AND strftime('%Y', T2.DATE) = '2013'	synthea
SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1."PREVALENCE RATE" DESC LIMIT 1	synthea
SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1	synthea
SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza  seasonal  injectable  preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1	synthea
SELECT DISTINCT T1.PATIENT FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T2.ITEM) = lower(T1.DESCRIPTION) WHERE T2."PREVALENCE PERCENTAGE" = CAST(18.8 AS float)	synthea
SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'F' AND T1.DESCRIPTION = 'Prediabetes'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1	synthea
SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]' AND T2.race = 'asian' AND T2.gender = 'F'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.description = 'Stroke' AND T2.deathdate IS NULL	synthea
SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian'	synthea
SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN conditions AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Hypertension' AND T1.DESCRIPTION = 'Diastolic Blood Pressure'	synthea
SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751'	synthea
SELECT T2.ssn FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to grass pollen' AND T2.ethnicity = 'irish' AND T2.gender = 'F'	synthea
SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.CODE = 315043002	synthea
SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1	synthea
SELECT T2.code FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T1.ITEM = T2.DESCRIPTION ORDER BY T1.OCCURRENCES DESC LIMIT 1	synthea
SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US'	synthea
SELECT DISTINCT T2.ssn FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON lower(T1.DESCRIPTION) = lower(T3.ITEM) WHERE CAST(T3."PREVALENCE PERCENTAGE" AS REAL) * 100 / ( SELECT AVG('PREVALENCE PERCENTAGE') FROM all_prevalences ) < 30 LIMIT 5	synthea
SELECT CAST(SUM(CASE WHEN T2.gender = 'F' AND T2.race = 'asian' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.gender) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Acute bronchitis (disorder)'	synthea
SELECT COUNT(T2.ID) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Extraction of wisdom tooth'	synthea
SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to soya'	synthea
SELECT COUNT(T2.CODE) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.DESCRIPTION = 'DTaP'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Clopidogrel 75 MG Oral Tablet' AND strftime('%Y', T2.STOP) - strftime('%Y', T2.START) > 10	synthea
SELECT DISTINCT T1.DESCRIPTION, T3.DESCRIPTION FROM procedures AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN medications AS T3 ON T2.patient = T3.PATIENT WHERE T2.DESCRIPTION = 'Third degree burn'	synthea
SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould'	synthea
SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Secondary malignant neoplasm of colon'	synthea
SELECT T2."PREVALENCE RATE" FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T1.DESCRIPTION) = lower(T2.ITEM) WHERE T1.START = '2014-05-09'	synthea
SELECT T2.first, T2.last , CASE WHEN T2.deathdate IS NULL THEN strftime('%Y', T1.DATE) - strftime('%Y', T2.birthdate) ELSE strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) END AS age FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' AND T1.VALUE = 200 AND T1.UNITS = 'mmHg' AND strftime('%Y', T1.DATE) = '2011'	synthea
SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient), SUM(CASE WHEN T1.ethnicity = 'english' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE strftime('%Y', T2.DATE) = '2017'	synthea
SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy'	synthea
SELECT DISTINCT T1.birthdate FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Outpatient Encounter'	synthea
SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Cystitis'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Stroke' AND T1.marital = 'M'	synthea
SELECT DISTINCT T1.address FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.BILLABLEPERIOD LIKE '2010%'	synthea
SELECT DISTINCT T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to dairy product'	synthea
SELECT T2.START FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Adolfo' AND T1.last = 'Schmitt' AND T2.STOP IS NOT NULL	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'House dust mite allergy' AND T1.gender = 'M'	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'white' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza  seasonal  injectable  preservative free'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV  quadrivalent' AND T1.gender = 'F'	synthea
SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US'	synthea
SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german'	synthea
SELECT CAST(SUM(CASE WHEN T1.deathdate IS NULL THEN strftime('%Y', T2.STOP) - strftime('%Y', T1.birthdate) ELSE strftime('%Y', T1.deathdate) - strftime('%Y', T1.birthdate) END) AS REAL) / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Prediabetes'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Coronary Heart Disease' AND T1.STOP IS NOT NULL AND T2.deathdate IS NULL	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Bone immobilization' AND T1.drivers IS NOT NULL	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3	synthea
SELECT COUNT(DISTINCT T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN immunizations AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Allergy to eggs' AND T3.DESCRIPTION = 'Td (adult) preservative free'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN observations AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Body Weight' AND T1.DESCRIPTION = 'Diabetes self management plan' AND T3.VALUE > 100 AND T3.UNITS = 'kg'	synthea
SELECT T1.gender FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Dander (animal) allergy' GROUP BY T1.gender ORDER BY COUNT(T1.gender) DESC LIMIT 1	synthea
SELECT DISTINCT T2.BILLABLEPERIOD FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.last = 'Dickinson'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Otitis media'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Myocardial Infarction' AND T1.ethnicity = 'irish'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND T2.REASONDESCRIPTION = 'Concussion with loss of consciousness'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus  monovalent' AND T1.STOP = '2013-11-23'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Nitroglycerin 0.4 MG/ACTUAT [Nitrolingual]' AND T1.gender = 'F'	synthea
SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Allergy to grass pollen' THEN 1 ELSE 0 END) AS REL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pembroke MA US'	synthea
SELECT SUM(T2.VALUE) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'asian' AND T2.DESCRIPTION = 'Body Weight' AND T2.UNITS = 'kg'	synthea
SELECT T1.ssn FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Latex allergy'	synthea
SELECT CASE WHEN SUBSTR(T1.STOP, -2, 1) != '9' THEN SUBSTR(T1.STOP, LENGTH(T1.STOP) - 1) + 2000 END - CASE WHEN SUBSTR(T1.START, -2, 1) = '9' THEN SUBSTR(T1.START, LENGTH(T1.START) - 1) + 1900 ELSE SUBSTR(T1.START, LENGTH(T1.START) - 1) + 2000 END AS years , T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T2.patient = T1.PATIENT WHERE T1.STOP IS NOT NULL AND T1.START IS NOT NULL AND T2.first = 'Isadora' AND T2.last = 'Moen'	synthea
SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START BETWEEN '2009-01-11' AND '2010-10-23'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60	synthea
SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza  seasonal  injectable  preservative free' AND T1.first = 'Elly' AND T1.last = 'Koss'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'meningococcal MCV4P' AND T2.DATE BETWEEN '2010-07-09' AND '2013-10-29' AND T1.race = 'black'	synthea
SELECT DISTINCT T2.CODE, T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DESCRIPTION = 'Influenza  seasonal  injectable  preservative free'	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'S' AND T2.REASONDESCRIPTION = 'Cystitis' AND T2.DESCRIPTION = 'Nitrofurantoin 5 MG/ML [Furadantin]' AND strftime('%Y', T2.START) = '2010'	synthea
SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2013-11-20' AND T1.first = 'Lavelle' AND T1.last = 'Vandervort'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.ethnicity = 'german' AND T2.DATE BETWEEN '2011-01-09' AND '2012-08-29' AND T2.DESCRIPTION = 'Outpatient Encounter'	synthea
SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom'	synthea
SELECT T2.REASONDESCRIPTION, T2.DESCRIPTION , strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days , CASE WHEN T1.deathdate IS NULL THEN 'alive' ELSE 'dead' END FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.ENCOUNTER = '23c293ec-dbae-4a22-896e-f12cf3c8bac3'	synthea
SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Shellfish allergy' AND CAST((strftime('%J', T1.deathdate) - strftime('%J', T1.birthdate)) AS REAL) / 365 < 12	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = ' Amoxicillin 250 MG / Clavulanate 125 MG [Augmentin]' AND T1.first = 'Major' AND T1.last = 'D''Amore'	synthea
SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'	synthea
SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Bella' AND T1.last = 'Rolfson'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Calcium' AND T2.VALUE < 8.6	synthea
SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' GROUP BY T2.VALUE ORDER BY COUNT(T2.VALUE) LIMIT 5	synthea
SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND strftime('%Y', T2.START) = '2013'	synthea
SELECT DISTINCT T3.DESCRIPTION, T4.DESCRIPTION, T5.DESCRIPTION, T1.first, T1.last FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT INNER JOIN careplans AS T3 ON T1.patient = T3.PATIENT INNER JOIN procedures AS T4 ON T1.patient = T4.PATIENT INNER JOIN medications AS T5 ON T1.patient = T5.PATIENT WHERE T2.ID = '6f2e3935-b203-493e-a9c0-f23e847b9798'	synthea
SELECT COUNT(DISTINCT CASE WHEN T2.gender = 'M' THEN T2.patient END) AS Male , COUNT(DISTINCT CASE WHEN T2.gender = 'F' THEN T2.patient END) AS Female FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S'	synthea
SELECT DISTINCT T2.DESCRIPTION, T3.DESCRIPTION FROM encounters AS T1 INNER JOIN procedures AS T2 ON T1.PATIENT = T2.PATIENT INNER JOIN medications AS T3 ON T1.PATIENT = T3.PATIENT WHERE T1.REASONDESCRIPTION = 'Drug overdose'	synthea
SELECT SUM(T1.VALUE) / COUNT(T1.PATIENT) FROM observations AS T1 INNER JOIN ( SELECT DISTINCT PATIENT FROM observations WHERE DESCRIPTION = 'Total Cholesterol' AND VALUE > 200 ) AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.DESCRIPTION = 'Body Mass Index'	synthea
SELECT SUM(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 20 AND 30 THEN T2.VALUE ELSE 0 END) / COUNT(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 20 AND 30 THEN T2.PATIENT END) - SUM(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 50 AND 60 THEN T2.VALUE ELSE 0 END) / COUNT(CASE WHEN ROUND((strftime('%J', T2.DATE) - strftime('%J', T1.birthdate)) / 365) BETWEEN 50 AND 60 THEN T2.PATIENT END) AS difference FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose'	synthea
SELECT CAST(SUM(CASE WHEN T5.DESCRIPTION = T3.DESCRIPTION THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.patient) FROM ( SELECT T2.DESCRIPTION, T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE ROUND((strftime('%J', T2.START) - strftime('%J', T1.birthdate)) / 365) > 60 GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 ) AS T3 INNER JOIN patients AS T4 ON T3.patient = T4.patient INNER JOIN conditions AS T5 ON T4.patient = T5.PATIENT WHERE ROUND((strftime('%J', T5.START) - strftime('%J', T4.birthdate)) / 365) > 60	synthea
SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'	synthea
SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Stacy' AND T1.last = 'Morar' AND T2.DESCRIPTION = 'Emergency Room Admission' AND T2.REASONDESCRIPTION = 'Drug overdose' ORDER BY T2.DATE LIMIT 1	synthea
SELECT DESCRIPTION FROM medications WHERE REASONDESCRIPTION = 'Child attention deficit disorder' GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1	synthea
SELECT T2.first, T2.last FROM procedures AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Transplant of lung (procedure)'	synthea
SELECT CAST(COUNT(PATIENT) AS REAL) / COUNT(DISTINCT strftime('%Y', DATE)) FROM procedures WHERE DESCRIPTION = 'Combined chemotherapy and radiation therapy (procedure)'	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS timeFrame , T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' ORDER BY T2.START DESC LIMIT 1	synthea
SELECT T2.START, T2.STOP, T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Isadora' AND T1.last = 'Moen'	synthea
SELECT T2.DATE - T1.birthdate AS age FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Laronda' AND T1.last = 'Bernier' ORDER BY T2.DATE DESC LIMIT 1	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Joye' AND T1.last = 'Homenick' AND strftime('%Y', T2.START) = '2017'	synthea
SELECT T2.DATE FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Influenza  seasonal  injectable  preservative free' AND T1.first = 'Joye' AND T1.last = 'Homenick' ORDER BY T2.DATE DESC LIMIT 1	synthea
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG'	synthea
SELECT COUNT(DISTINCT T2.PATIENT), T2.DESCRIPTION FROM encounters AS T1 INNER JOIN careplans AS T2 ON T1.PATIENT = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Second degree burn'	synthea
SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM encounters AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.DATE) = '2010' AND T1.REASONDESCRIPTION = 'Contact dermatitis'	synthea
SELECT COUNT(T1.patient) , CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Prenatal visit' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Lorri' AND T1.last = 'Simonis' AND strftime('%Y', T2.DATE) BETWEEN '2010' AND '2017'	synthea
SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick'	synthea
SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.maiden = 'Adams'	synthea
SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'M' ORDER BY T1.START LIMIT 1	synthea
SELECT CAST(SUM(CASE WHEN T2.race = 'hispanic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.stop) = '2011'	synthea
SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge'	synthea
SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'american'	synthea
SELECT DISTINCT T1.ENCOUNTER FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.birthplace = 'Pembroke MA US'	synthea
SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL	synthea
SELECT COUNT(DISTINCT T1.PATIENT) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'white' AND T1.REASONCODE = '10509002'	synthea
SELECT DISTINCT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetic diet'	synthea
SELECT DISTINCT T1.STOP FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL AND T1.STOP IS NOT NULL	synthea
SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005'	synthea
SELECT CAST(SUM(CASE WHEN T2.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.PATIENT) AS percentage FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE strftime('%Y', T1.START) = '2010'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'black' AND strftime('%Y', T1.STOP) = '2017'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 WHERE T2.DESCRIPTION = 'Prediabetes' AND T1.gender = 'M'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut'	synthea
SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Wilmer' AND T1.last = 'Koepp'	synthea
SELECT SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END), SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND strftime('%Y', T2.START) >= '1948'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE strftime('%Y', T1.birthdate) = '1935' AND T1.race = 'white' AND T2.DESCRIPTION = 'Stroke'	synthea
SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN immunizations AS T3 ON T1.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'IPV'	synthea
SELECT T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT INNER JOIN all_prevalences AS T3 ON T3.ITEM = T2.DESCRIPTION ORDER BY T3.OCCURRENCES DESC LIMIT 1	synthea
SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE T2.DESCRIPTION = 'Cystitis'	synthea
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV  quadrivalent' AND T1.gender = 'M'	synthea
SELECT DISTINCT T2.start FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer'	synthea
SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'	synthea
SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'	synthea
SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'	synthea
SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'white' AND T1.DESCRIPTION = 'Body Height'	synthea
SELECT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.address = '179 Sydni Roads Taunton MA 02780 US'	synthea
SELECT T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Dirk' AND T2.last = 'Langosh' AND T2.ethnicity = 'dominican'	synthea
SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN allergies AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Asthma' AND T3.DESCRIPTION = 'Allergy to peanuts'	synthea
SELECT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Drug overdose' AND ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) = 44	synthea
SELECT T2.ssn FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' ORDER BY T1.VALUE DESC LIMIT 1	synthea
SELECT T4.DESCRIPTION FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T2.DESCRIPTION = T1.ITEM INNER JOIN encounters AS T3 ON T2.ENCOUNTER = T3.ID INNER JOIN careplans AS T4 ON T4.ENCOUNTER = T3.ID ORDER BY T1."PREVALENCE PERCENTAGE" DESC LIMIT 1	synthea
SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'	synthea
SELECT SUM(CASE WHEN T2.deathdate IS NULL THEN ROUND((strftime('%J', date('now')) - strftime('%J', T2.birthdate)) / 365) ELSE ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) END) / COUNT(T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension' AND T2.gender = 'M'	synthea
SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5	synthea
SELECT T2.first, T2.last FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Body Weight' AND T1.UNITS = 'kg' AND T1.VALUE = 61.97	synthea
SELECT DISTINCT T2.birthdate FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND T2.gender = 'M' LIMIT 5	synthea
SELECT DISTINCT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON T1.DESCRIPTION = T3.ITEM WHERE T2.ethnicity = 'irish' AND 100 * CAST(T3.OCCURRENCES AS REAL) / ( SELECT AVG(OCCURRENCES) FROM all_prevalences ) > 96	synthea
SELECT SUM(CASE WHEN T2.marital = 'M' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.marital = 'S' THEN 1 ELSE 0 END) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Diabetes'	synthea
SELECT country, COUNT(customerNumber) FROM customers GROUP BY country	car_retails
SELECT DISTINCT T1.productVendor, T1.MSRP - T1.buyPrice FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode GROUP BY T1.productVendor, T1.MSRP, T1.buyPrice ORDER BY COUNT(T2.quantityOrdered) DESC LIMIT 1	car_retails
SELECT DISTINCT T3.lastName, T3.firstName FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN employees AS T3 ON T2.salesRepEmployeeNumber = T3.employeeNumber WHERE STRFTIME('%Y', T1.paymentDate) = '2004' ORDER BY T1.amount DESC LIMIT 1	car_retails
SELECT T3.priceEach * T3.quantityOrdered FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN orderdetails AS T3 ON T2.orderNumber = T3.orderNumber WHERE T1.customerName = 'Rovelli Gifts' AND T2.status = 'Shipped' AND STRFTIME('%Y', T2.shippedDate) = '2003'	car_retails
SELECT COUNT(employeeNumber) FROM employees WHERE officeCode = ( SELECT officeCode FROM offices WHERE city = 'Sydney' )	car_retails
SELECT T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1143 AND T2.city = 'NYC'	car_retails
SELECT CAST(SUM(T1.amount) AS REAL) / 3, MAX(T1.amount) , MIN(T1.amount) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.paymentDate BETWEEN '2003-01-01' AND '2005-12-31'	car_retails
SELECT DISTINCT T2.country, T2.addressLine1, T2.addressLine2 FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber ORDER BY T1.amount DESC LIMIT 5	car_retails
SELECT COUNT(T1.checkNumber) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE customerName = 'Euro+ Shopping Channel' AND STRFTIME('%Y', T1.paymentDate) = '2004'	car_retails
SELECT T1.productName FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode WHERE T1.productScale = '1:18' AND T1.productLine = 'Classic Cars' GROUP BY T1.productName ORDER BY SUM(T2.quantityOrdered) DESC LIMIT 1	car_retails
SELECT ( SELECT COUNT(customerNumber) FROM customers WHERE creditLimit <= 100000 AND customerNumber IN ( SELECT customerNumber FROM payments WHERE STRFTIME('%Y', paymentDate) = '2004' ) ), T1.customerName FROM customers AS T1 INNER JOIN payments AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.creditLimit <= 100000 AND STRFTIME('%Y', T2.paymentDate) = '2004' GROUP BY T1.customerNumber, T1.customerName ORDER BY SUM(T2.amount) DESC LIMIT 1	car_retails
SELECT T2.customerName, T2.contactFirstName, T2.contactLastName, SUM(T3.amount) FROM employees AS T1 INNER JOIN customers AS T2 ON T2.salesRepEmployeeNumber = T1.employeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber INNER JOIN offices AS T4 ON T1.officeCode = T4.officeCode WHERE T4.city = 'Tokyo' AND T1.reportsTo = 1056 GROUP BY T2.customerName, T2.contactFirstName, T2.contactLastName ORDER BY amount DESC LIMIT 1	car_retails
SELECT T2.productName, SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN ( SELECT productCode, productName FROM products ORDER BY MSRP - buyPrice DESC LIMIT 1 ) AS T2 ON T1.productCode = T2.productCode UNION SELECT T2.productName, SUM(quantityOrdered * priceEach) FROM orderdetails AS T1 INNER JOIN ( SELECT productCode, productName FROM products ORDER BY MSRP - buyPrice ASC LIMIT 1 ) AS T2 ON T1.productCode = T2.productCode	car_retails
SELECT COUNT(DISTINCT T1.orderNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.quantityOrdered * T1.priceEach > 4000 AND T2.status = 'Cancelled'	car_retails
SELECT COUNT(DISTINCT T1.orderNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.quantityOrdered < 30 AND STRFTIME('%Y', T2.orderDate) = '2003'	car_retails
SELECT SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T2.status = 'Cancelled'	car_retails
SELECT SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productLine = 'Motorcycles'	car_retails
SELECT COUNT(T1.productCode) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productLine = 'Planes'	car_retails
SELECT COUNT(T1.productCode) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.MSRP - T2.buyPrice > 100	car_retails
SELECT SUM(T2.quantityOrdered * T2.priceEach) / COUNT(T3.orderNumber) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber WHERE T1.productVendor = 'Exoto Designs' AND STRFTIME('%Y', T3.orderDate) = '2005'	car_retails
SELECT COUNT(officeCode) FROM employees WHERE jobTitle = 'Sales Rep' AND officeCode = 1	car_retails
SELECT DISTINCT T2.customerName FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.amount > 50000	car_retails
SELECT SUM(T1.amount) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.country = 'USA'	car_retails
SELECT SUM(amount) FROM payments WHERE STRFTIME('%Y', paymentDate) = '2003' AND customerNumber IN ( SELECT customerNumber FROM customers WHERE creditLimit = 0 )	car_retails
SELECT T2.customerName, T2.phone FROM orders AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.status = 'Cancelled'	car_retails
SELECT COUNT(T2.country) FROM orders AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.status = 'Shipped' AND T2.country = 'France' GROUP BY T2.customerNumber HAVING COUNT(T1.status) = 2	car_retails
SELECT SUM(T3.quantityOrdered * T3.priceEach) / COUNT(T2.orderNumber) FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber INNER JOIN orderdetails AS T3 ON T2.orderNumber = T3.orderNumber WHERE T2.status = 'Shipped' AND T1.country = 'Germany'	car_retails
SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo'	car_retails
SELECT T1.firstName, T1.lastName, T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo' AND T1.jobTitle = 'Sales Rep'	car_retails
SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1002 AND T2.city = 'San Francisco'	car_retails
SELECT T1.email, T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.state = 'MA' AND T2.country = 'USA'	car_retails
SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.jobTitle LIKE '%Sales Manager%' AND T2.city = 'Sydney'	car_retails
SELECT T2.email, T3.country FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber INNER JOIN offices AS T3 ON T2.officeCode = T3.officeCode WHERE T3.country = 'Australia' AND T1.creditLimit < 200000 AND T2.jobTitle = 'Sales Rep'	car_retails
SELECT DISTINCT T2.email FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep' AND T1.country = 'UK' ORDER BY T1.creditLimit LIMIT 10	car_retails
SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Australia'	car_retails
SELECT customerNumber FROM payments ORDER BY amount DESC LIMIT 3	car_retails
SELECT T1.email, T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.country = 'USA' AND T2.state = 'CA' GROUP BY T1.email, T1.officeCode	car_retails
SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Boston'	car_retails
SELECT T2.email FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep' AND T1.country = 'UK' GROUP BY T1.customerName, T2.email ORDER BY SUM(T1.creditLimit) DESC LIMIT 3	car_retails
SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Norway'	car_retails
SELECT T1.firstName, T1.lastName, T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Paris'	car_retails
SELECT productCode, quantityInStock FROM products WHERE productLine = 'Motorcycles' ORDER BY quantityInStock DESC LIMIT 5	car_retails
SELECT COUNT(customerNumber) FROM customers WHERE creditLimit = 0 AND country = 'Germany'	car_retails
SELECT COUNT(customernumber) FROM ( SELECT customernumber FROM payments WHERE STRFTIME('%Y', paymentDate) >= '2003' AND STRFTIME('%Y', paymentDate) <= '2004' GROUP BY customernumber HAVING COUNT(customernumber) > 3 ) T	car_retails
SELECT SUM(T1.priceEach - T2.buyPrice) / COUNT(*) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productName = '1937 Lincoln Berline'	car_retails
SELECT T1.productName FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T1.productLine = 'Motorcycles' AND T1.productScale = '1:10' AND T4.country = 'USA' GROUP BY T1.productName ORDER BY SUM(T2.quantityOrdered) DESC LIMIT 1	car_retails
SELECT T1.checkNumber FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.paymentDate >= '2003-08-01' AND T1.paymentDate <= '2004-08-30' AND T2.customerName = 'Mini Gifts Distributors Ltd.'	car_retails
SELECT MAX(quantityOrdered * priceEach) - AVG(priceEach) FROM orderdetails WHERE productCode IN ( SELECT productCode FROM products WHERE productLine = 'Planes' )	car_retails
SELECT SUM(T2.priceEach * T2.quantityOrdered) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber WHERE T3.status = 'Shipped' AND T3.orderDate BETWEEN '2003-01-01' AND '2004-12-31'	car_retails
SELECT T1.firstName, T1.lastName, T1.reportsTo FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber ORDER BY T3.amount DESC LIMIT 1	car_retails
SELECT T2.productName, T1.quantityOrdered * T1.priceEach FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T1.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T4.city = 'Boston' AND T4.salesRepEmployeeNumber IN ( SELECT employeeNumber FROM employees WHERE jobTitle = 'Sales Rep' ) ORDER BY T1.quantityOrdered DESC LIMIT 1	car_retails
SELECT SUM(T2.priceEach - T1.buyPrice) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T3.orderDate > '2003-01-05' AND T3.orderDate < '2005-05-10'	car_retails
SELECT T3.addressLine1, T3.addressLine2, T3.phone FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber INNER JOIN customers AS T3 ON T2.customerNumber = T3.customerNumber INNER JOIN employees AS T4 ON T3.salesRepEmployeeNumber = T4.employeeNumber INNER JOIN offices AS T5 ON T4.officeCode = T5.officeCode WHERE STRFTIME('%Y', T2.orderDate) = '2005' AND T4.jobTitle = 'Sales Rep' ORDER BY T1.quantityOrdered DESC LIMIT 1	car_retails
SELECT phone FROM customers WHERE contactLastName LIKE 'M%' AND country != 'Germany'	car_retails
SELECT AVG(amount) FROM payments WHERE paymentDate BETWEEN '2004-01-01' AND '2004-06-30'	car_retails
SELECT CAST(SUM(CASE WHEN customerNumber = 186 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(orderNumber) FROM orders WHERE status = 'Shipped' AND shippedDate BETWEEN '2005-01-01' AND '2005-12-31'	car_retails
SELECT COUNT(T1.customerNumber) FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.status = 'Cancelled' AND T1.creditLimit > 115000	car_retails
SELECT T3.paymentDate FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN payments AS T3 ON T2.customerNumber = T3.customerNumber WHERE T1.firstName = 'Barry' AND T1.lastName = 'Jones' AND T1.jobTitle = 'Sales Rep' ORDER BY T2.creditLimit ASC LIMIT 1	car_retails
SELECT T1.reportsTo FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber WHERE T2.country = 'France'	car_retails
SELECT T1.addressLine1, T1.addressLine2 FROM customers AS T1 INNER JOIN orders AS T2 ON T1.customerNumber = T2.customerNumber WHERE T2.shippedDate = '2005-04-04' AND T2.status = 'Shipped'	car_retails
SELECT T2.addressLine1, T2.addressLine2 FROM employees AS T1 INNER JOIN customers AS T2 ON T1.employeeNumber = T2.salesRepEmployeeNumber INNER JOIN offices AS T3 ON T1.officeCode = T3.officeCode WHERE T2.city = 'NYC' AND T1.jobTitle = 'Sales Rep'	car_retails
SELECT T1.addressLine1, T1.addressLine2 FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep'	car_retails
SELECT SUM(T2.MSRP - T2.buyPrice) FROM productlines AS T1 INNER JOIN products AS T2 ON T1.productLine = T2.productLine WHERE T2.productVendor = 'Carousel DieCast Legends' AND T1.textDescription LIKE '%perfect holiday or anniversary gift for executives%'	car_retails
SELECT T1.customerNumber FROM customers AS T1 INNER JOIN payments AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.city = 'Boston' GROUP BY T1.customerNumber ORDER BY SUM(T2.amount) / COUNT(T2.paymentDate) DESC LIMIT 1	car_retails
SELECT SUM(T2.quantityOrdered) , SUM(T2.quantityOrdered * T2.priceEach) / SUM(T2.quantityOrdered) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode WHERE T1.productName = '18th Century Vintage Horse Carriage'	car_retails
SELECT COUNT(t.productCode) FROM orderdetails t WHERE t.orderNumber = '10252'	car_retails
SELECT T2.firstName, T2.lastName FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T1.addressLine1 = '25 Maiden Lane' AND T1.addressLine2 = 'Floor No. 4'	car_retails
SELECT T1.addressLine1, T1.addressLine2 FROM offices AS T1 INNER JOIN employees AS T2 ON T1.officeCode = T2.officeCode WHERE T2.firstName = 'Foon Yue' AND T2.lastName = 'Tseng'	car_retails
SELECT T2.orderDate FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE STRFTIME('%Y-%m-%d', T2.orderDate) = '2005-04-08' OR STRFTIME('%Y-%m-%d', T2.orderDate) = '2005-04-10' ORDER BY T1.quantityOrdered * T1.priceEach DESC LIMIT 1	car_retails
SELECT SUM(t2.quantityOrdered) FROM orderdetails AS t2 INNER JOIN ( SELECT t1.productCode FROM products AS t1 ORDER BY t1.MSRP - t1.buyPrice DESC LIMIT 1 ) AS t3 ON t2.productCode = t3.productCode	car_retails
SELECT t1.amount FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.customerName = 'Petit Auto' AND t1.paymentDate = '2004-08-09'	car_retails
SELECT t2.contactFirstName, t2.contactLastName FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.checkNumber = 'NR157385'	car_retails
SELECT t2.contactFirstName, t2.contactLastName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.orderNumber = '10160'	car_retails
SELECT t2.addressLine1, t2.addressLine2 FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.orderNumber = '10383'	car_retails
SELECT t1.textDescription FROM productlines AS t1 INNER JOIN products AS t2 ON t1.productLine = t2.productLine WHERE t2.productCode = 'S18_2949'	car_retails
SELECT t2.email FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Dragon Souveniers, Ltd.'	car_retails
SELECT COUNT(t1.customerNumber) FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.country = 'France' AND t2.firstName = 'Gerard' AND t2.lastName = 'Hernandez'	car_retails
SELECT t3.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t1.productCode = t3.productCode WHERE t2.customerNumber = '114' ORDER BY t2.orderDate DESC LIMIT 1	car_retails
SELECT (t1.MSRP - t2.priceEach) / t1.MSRP FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode WHERE t1.productCode = 'S18_3482' AND t2.orderNumber = '10108'	car_retails
SELECT t2.firstName, t2.lastName FROM employees AS t1 INNER JOIN employees AS t2 ON t2.employeeNumber = t1.reportsTo WHERE t1.firstName = 'Steve' AND t1.lastName = 'Patterson'	car_retails
SELECT t.email FROM employees t WHERE t.jobTitle = 'President'	car_retails
SELECT t2.firstName, t2.lastName FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Muscle Machine Inc'	car_retails
SELECT t2.email FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Muscle Machine Inc'	car_retails
SELECT t1.customerName FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'Steve' AND t2.lastName = 'Patterson'	car_retails
SELECT COUNT(t1.customerNumber) FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'William' AND t2.lastName = 'Patterson'	car_retails
SELECT t1.phone FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t2.firstName = 'Leslie' AND t2.lastName = 'Jennings' ORDER BY t1.creditLimit DESC LIMIT 3	car_retails
SELECT COUNT(t1.employeeNumber) FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t2.country = 'USA' AND t1.jobTitle = 'Sales Rep'	car_retails
SELECT t2.addressLine1, t2.addressLine2 FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t1.jobTitle = 'President'	car_retails
SELECT t2.postalCode FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t1.jobTitle = 'VP Sales'	car_retails
SELECT SUM(t1.priceEach * t1.quantityOrdered) FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber WHERE t3.customerName = 'Cruz & Sons Co.' AND t2.orderDate = '2003-03-03'	car_retails
SELECT t4.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode WHERE t3.customerName = 'Cruz & Sons Co.' AND t2.orderDate = '2003-03-03'	car_retails
SELECT t4.productName FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode WHERE t3.customerName = 'Cruz & Sons Co.' ORDER BY t1.priceEach * t1.quantityOrdered DESC LIMIT 1	car_retails
SELECT t1.shippedDate FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.customerName = 'Cruz & Sons Co.' AND t1.orderDate = '2003-03-03'	car_retails
SELECT COUNT(T2.customerNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.productCode IN ( SELECT productCode FROM products WHERE productName = '1957 Chevy Pickup' )	car_retails
SELECT t.productName, t.MSRP - t.buyPrice FROM products AS t WHERE t.productLine = 'Classic Cars' ORDER BY t.MSRP - t.buyPrice DESC LIMIT 1	car_retails
SELECT t2.customerName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.status = 'In Process'	car_retails
SELECT COUNT(CASE WHEN JULIANDAY(t1.shippeddate) - JULIANDAY(t1.requireddate) > 3 THEN T1.customerNumber ELSE NULL END) FROM orders AS T1 INNER JOIN orderdetails AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.status = 'Shipped'	car_retails
SELECT t2.customerName FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE STRFTIME('%Y', t1.paymentDate) = '2005' GROUP BY t2.customerNumber, t2.customerName ORDER BY SUM(t1.amount) DESC LIMIT 1	car_retails
SELECT productName, MSRP - buyPrice FROM products WHERE productCode = ( SELECT productCode FROM orderdetails ORDER BY quantityOrdered DESC LIMIT 1 )	car_retails
SELECT T2.firstName, T2.lastName FROM offices AS T1 INNER JOIN employees AS T2 ON T1.officeCode = T2.officeCode WHERE T2.employeeNumber = ( SELECT MAX(employeeNumber) FROM employees )	car_retails
SELECT t3.firstName, t3.lastName FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber INNER JOIN employees AS t3 ON t2.salesRepEmployeeNumber = t3.employeeNumber WHERE t1.status = 'Disputed'	car_retails
SELECT CAST(COUNT(CASE WHEN t1.city = 'Paris' THEN t2.employeeNumber ELSE NULL END) AS REAL) * 100 / COUNT(t2.employeeNumber) FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode	car_retails
SELECT t2.firstName, t2.lastName FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode WHERE t2.jobTitle = 'Sale Manager (EMEA)'	car_retails
SELECT t2.firstName, t2.lastName, t2.reportsTo FROM offices AS t1 INNER JOIN employees AS t2 ON t1.officeCode = t2.officeCode WHERE t1.country = 'Japan'	car_retails
SELECT t4.customerName FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode INNER JOIN orders AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN customers AS t4 ON t3.customerNumber = t4.customerNumber WHERE t1.productName = '1939 Chevrolet Deluxe Coupe' ORDER BY t2.priceEach DESC LIMIT 1	car_retails
SELECT SUM(CASE WHEN t1.customerName = 'Atelier graphique' THEN t2.amount ELSE 0 END) * 100 / SUM(t2.amount) FROM customers AS t1 INNER JOIN payments AS t2 ON t1.customerNumber = t2.customerNumber WHERE STRFTIME('%Y', t2.paymentDate) = '2004'	car_retails
SELECT SUM((t1.priceEach - t2.buyPrice) * t1.quantityOrdered) FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode WHERE t1.orderNumber = '10100'	car_retails
SELECT SUM(t.amount) FROM payments t WHERE t.customerNumber = '103'	car_retails
SELECT SUM(t.priceEach * t.quantityOrdered) FROM orderdetails t WHERE t.orderNumber = '10100'	car_retails
SELECT t1.productName FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode ORDER BY t2.priceEach DESC LIMIT 3	car_retails
SELECT t2.contactFirstName, t2.contactLastName FROM employees AS t1 INNER JOIN customers AS t2 ON t1.employeeNumber = t2.salesRepEmployeeNumber WHERE t1.employeeNumber = '1370' ORDER BY t2.creditLimit DESC LIMIT 1	car_retails
SELECT SUM(t2.quantityOrdered) FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode WHERE t1.productName = '2003 Harley-Davidson Eagle Drag Bike'	car_retails
SELECT t1.shippedDate FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber ORDER BY t2.priceEach DESC LIMIT 1	car_retails
SELECT SUM(t2.quantityOrdered) FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t2.productCode = t3.productCode WHERE t3.productLine = 'motorcycles' AND STRFTIME('%Y', t1.orderDate) = '2004'	car_retails
SELECT t1.orderNumber FROM orders AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.creditLimit = 45300	car_retails
SELECT t3.customerName, (t1.priceEach - t4.buyPrice) * t1.quantityOrdered FROM orderdetails AS t1 INNER JOIN orders AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN customers AS t3 ON t2.customerNumber = t3.customerNumber INNER JOIN products AS t4 ON t1.productCode = t4.productCode GROUP BY t3.customerName, t1.priceEach, t4.buyPrice, t1.quantityOrdered ORDER BY (t1.priceEach - t4.buyPrice) * t1.quantityOrdered DESC LIMIT 1	car_retails
SELECT STRFTIME('%Y', t1.paymentDate), COUNT(t1.customerNumber) FROM payments AS t1 WHERE t1.amount < 10000 GROUP BY STRFTIME('%Y', t1.paymentDate)	car_retails
SELECT t3.productName, SUM(t2.quantityOrdered) FROM orders AS t1 INNER JOIN orderdetails AS t2 ON t1.orderNumber = t2.orderNumber INNER JOIN products AS t3 ON t2.productCode = t3.productCode WHERE STRFTIME('%Y', t1.orderDate) = '2003' GROUP BY t3.productName ORDER BY SUM(t2.quantityOrdered) DESC LIMIT 3	car_retails
SELECT t5.firstName, t5.lastName, SUM(t2.quantityOrdered) FROM products AS t1 INNER JOIN orderdetails AS t2 ON t1.productCode = t2.productCode INNER JOIN orders AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN customers AS t4 ON t3.customerNumber = t4.customerNumber INNER JOIN employees AS t5 ON t4.salesRepEmployeeNumber = t5.employeeNumber WHERE t1.productName = '1969 Harley Davidson Ultimate Chopper' GROUP BY t5.lastName, t5.firstName	car_retails
SELECT t1.lastName, t1.firstName FROM employees AS t1 INNER JOIN offices AS t2 ON t1.officeCode = t2.officeCode WHERE t2.city = 'NYC' AND t1.jobTitle = 'Sales Rep'	car_retails
SELECT t2.customerName, t2.country FROM payments AS t1 INNER JOIN customers AS t2 ON t1.customerNumber = t2.customerNumber WHERE t1.checkNumber = 'GG31455'	car_retails
SELECT SUM(t1.orderNumber) FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode WHERE t2.productName = '2001 Ferrari Enzo'	car_retails
SELECT t2.productName FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode GROUP BY t2.productName ORDER BY SUM(t1.quantityOrdered) ASC LIMIT 5	car_retails
SELECT t1.customerName FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.status = 'Disputed'	car_retails
SELECT COUNT(t2.orderNumber) FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber WHERE t2.status = 'On Hold' AND t1.country = 'USA'	car_retails
SELECT SUM(t3.priceEach * t3.quantityOrdered) FROM customers AS t1 INNER JOIN orders AS t2 ON t1.customerNumber = t2.customerNumber INNER JOIN orderdetails AS t3 ON t2.orderNumber = t3.orderNumber INNER JOIN products AS t4 ON t3.productCode = t4.productCode WHERE t4.productLine = 'Classic Cars' AND t1.customerName = 'Land of Toys Inc.' AND t2.status = 'Shipped'	car_retails
SELECT COUNT(id_restaurant) FROM generalinfo WHERE review < 3	restaurant
SELECT food_type FROM generalinfo WHERE review = ( SELECT MAX(review) FROM generalinfo ) LIMIT 4	restaurant
SELECT COUNT(id_restaurant) FROM generalinfo WHERE food_type = 'mediterranean' AND city = 'richmond'	restaurant
SELECT city FROM geographic WHERE county = 'sonoma county'	restaurant
SELECT DISTINCT county FROM geographic WHERE region != 'bay area'	restaurant
SELECT city FROM geographic WHERE region = 'northern california'	restaurant
SELECT id_restaurant FROM location WHERE city = 'oakland' AND street_name = '11th street'	restaurant
SELECT COUNT(id_restaurant) FROM location WHERE street_num = 871	restaurant
SELECT id_restaurant FROM location WHERE City = 'san francisco' AND street_name = '9th avenue'	restaurant
SELECT T1.food_type FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'adeline st' AND T2.city = 'berkeley'	restaurant
SELECT DISTINCT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type != 'african'	restaurant
SELECT DISTINCT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'a & w root beer'	restaurant
SELECT T1.street_name, T1.street_num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'adelitas taqueria'	restaurant
SELECT T2.food_type FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant INNER JOIN geographic AS T3 ON T2.city = T3.city WHERE T3.County = 'san mateo county' AND T1.street_name = 'alpine rd' AND T1.street_num = 3140	restaurant
SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T2.food_type = 'seafood' AND street_name IS NOT NULL	restaurant
SELECT DISTINCT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label != 'bakers square restaurant & pie shop'	restaurant
SELECT COUNT(DISTINCT T2.county) FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.street_name = 'appian way'	restaurant
SELECT T1.review FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'atlantic ave'	restaurant
SELECT T1.id_restaurant FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'contra costa county'	restaurant
SELECT T1.id_restaurant, T1.label FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'yolo county'	restaurant
SELECT T1.label FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'drive' AND T1.food_type != 'american' AND T2.city = 'san rafael'	restaurant
SELECT T2.street_name FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.review = 1.7	restaurant
SELECT T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'avenida de las pulgas' AND T2.city = 'menlo park' ORDER BY review LIMIT 1	restaurant
SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant INNER JOIN geographic AS T3 ON T2.city = T3.city WHERE T2.label = 'good heavens' AND T3.county = 'tuolumne county'	restaurant
SELECT DISTINCT T1.street_num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'aux delices vietnamese restaurant'	restaurant
SELECT T1.id_restaurant FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'marin county'	restaurant
SELECT DISTINCT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type = 'pizza' AND T2.region != 'unknown'	restaurant
SELECT AVG(T2.review) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'santa cruz county'	restaurant
SELECT CAST(SUM(IIF(T2.food_type = 'mexican', 1, 0)) AS REAL) * 100 / COUNT(T2.id_restaurant) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'monterey county'	restaurant
SELECT CAST(SUM(IIF(T1.street_name = '11th st', 1, 0)) AS REAL) * 100 / COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.County = 'alameda county'	restaurant
SELECT label FROM generalinfo WHERE food_type = 'european'	restaurant
SELECT city FROM geographic WHERE region = 'northern california'	restaurant
SELECT label FROM generalinfo WHERE food_type = '24 hour diner'	restaurant
SELECT city FROM geographic WHERE county = 'unknown' AND region = 'unknown' LIMIT 5	restaurant
SELECT county, region FROM geographic WHERE city = 'Davis'	restaurant
SELECT street_name FROM location WHERE city = 'Clayton'	restaurant
SELECT id_restaurant, label FROM generalinfo WHERE city = 'San Francisco' AND review = ( SELECT MAX(review) FROM generalinfo WHERE city = 'San Francisco' )	restaurant
SELECT COUNT(id_restaurant) FROM generalinfo WHERE food_type = 'american' AND city = 'carmel' AND review = ( SELECT MIN(review) FROM generalinfo WHERE food_type = 'american' AND city = 'carmel' )	restaurant
SELECT CAST(SUM(IIF(food_type = 'american food', 1, 0)) AS REAL) * 100 / COUNT(id_restaurant) FROM generalinfo WHERE city = 'dublin'	restaurant
SELECT T2.street_num, T2.street_name, T1.city FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.label = 'Albert''s Café'	restaurant
SELECT T1.id_restaurant FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'Oakland' AND T2.street_name = '19th St'	restaurant
SELECT T1.food_type FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_num = 106 AND T2.street_name = 'e 25th ave'	restaurant
SELECT T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant INNER JOIN geographic AS T3 ON T2.city = T3.city WHERE T3.region = 'unknown' LIMIT 3	restaurant
SELECT T1.label FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_num = 104 AND T1.city = 'campbell' AND T2.street_name = 'san tomas aquino road'	restaurant
SELECT COUNT(T1.id_restaurant) FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.food_type = 'thai' AND T1.city = 'albany' AND T2.street_name = 'san pablo ave'	restaurant
SELECT T1.county, T1.region, T2.label FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.label = 'plearn-thai cuisine'	restaurant
SELECT T2.label FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'lake tahoe' AND T1.county = 'el dorado county'	restaurant
SELECT DISTINCT T2.county, T2.region FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.street_name = 'E. El Camino Real'	restaurant
SELECT T1.id_restaurant FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'berkeley' AND T2.street_name = 'shattuck ave' AND T1.food_type = 'Indian restaurant' ORDER BY T1.review LIMIT 1	restaurant
SELECT CAST(SUM(IIF(T2.review > 4, 1, 0)) AS REAL) * 100 / COUNT(T2.id_restaurant) FROM geographic AS T1 RIGHT JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'bay area'	restaurant
SELECT city FROM geographic WHERE county = 'san mateo county'	restaurant
SELECT COUNT(id_restaurant) AS cnt FROM generalinfo WHERE review > 4	restaurant
SELECT street_name FROM location GROUP BY street_name ORDER BY COUNT(street_name) DESC LIMIT 1	restaurant
SELECT label FROM generalinfo WHERE food_type = 'chicken' ORDER BY review DESC LIMIT 1	restaurant
SELECT county FROM geographic WHERE city = 'el cerrito'	restaurant
SELECT COUNT(id_restaurant) FROM location WHERE street_name = 'irving'	restaurant
SELECT T1.label FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'marin county'	restaurant
SELECT T2.street_name FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.label = 'peking duck restaurant'	restaurant
SELECT T2.street_name FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city WHERE T1.county = 'alameda county' GROUP BY T2.street_name HAVING COUNT(T2.id_restaurant) > 10	restaurant
SELECT DISTINCT T1.region FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'greek'	restaurant
SELECT T2.street_name FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city WHERE T1.region = 'unknown'	restaurant
SELECT T2.review FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'murray ave' AND T1.street_num = 8440	restaurant
SELECT T2.food_type FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'Monterey' GROUP BY T2.food_type ORDER BY COUNT(T2.food_type) DESC LIMIT 1	restaurant
SELECT T2.street_name FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.food_type = 'burgers' GROUP BY T2.street_name ORDER BY COUNT(T2.id_restaurant) DESC LIMIT 1	restaurant
SELECT T2.region FROM location AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.street_num = 1149 AND T1.street_name = 'el camino real'	restaurant
SELECT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'sankee'	restaurant
SELECT COUNT(T1.city) FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city WHERE T1.region = 'northern california'	restaurant
SELECT T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'park st'	restaurant
SELECT CAST(SUM(IIF(T1.region = 'bay area', 1, 0)) AS REAL) * 100 / COUNT(T2.id_restaurant) FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city	restaurant
SELECT AVG(T1.review) FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type = 'chinese' GROUP BY T1.id_restaurant ORDER BY AVG(T1.review) DESC	restaurant
SELECT street_name FROM location WHERE city = 'San Francisco'	restaurant
SELECT id_restaurant FROM location WHERE city = 'Danville'	restaurant
SELECT COUNT(city) FROM geographic WHERE region = 'bay area'	restaurant
SELECT COUNT(T1.label) FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'unknown'	restaurant
SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'American'	restaurant
SELECT T1.label FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T2.county = 'Santa Cruz county'	restaurant
SELECT T1.review FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'Broadway' AND T2.street_num = 430	restaurant
SELECT T2.street_num, T2.street_name FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant ORDER BY T1.review DESC LIMIT 1	restaurant
SELECT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.food_type = 'Italian' GROUP BY T2.county ORDER BY COUNT(T1.id_restaurant) DESC LIMIT 1	restaurant
SELECT CAST(SUM(IIF(region = 'Napa Valley', 1, 0)) AS REAL) * 100 / COUNT(region) FROM geographic	restaurant
SELECT COUNT(city) FROM geographic WHERE region = 'bay area'	restaurant
SELECT city FROM geographic WHERE county = 'unknown'	restaurant
SELECT city FROM geographic WHERE region = 'bay area' AND county = 'santa clara county'	restaurant
SELECT id_restaurant FROM location WHERE city = 'sunnyvale'	restaurant
SELECT COUNT(city) FROM location WHERE street_name = 'railroad' AND street_num < 1000	restaurant
SELECT label FROM generalinfo WHERE food_type = '24 hour diner' AND city = 'san francisco'	restaurant
SELECT T2.review FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.city = 'santa cruz' AND T1.street_name = 'ocean st'	restaurant
SELECT T2.street_num FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.review = 2.7 AND T2.city = 'oakland' AND T1.food_type = 'bar'	restaurant
SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.food_type = 'bakery' AND T2.city = 'palo alto' AND T1.street_name = 'university ave.'	restaurant
SELECT T1.street_num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'Tulocay winery' AND T2.food_type = 'winery'	restaurant
SELECT T2.review, T2.label FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.city = 'hayward' AND T1.street_name = 'mission blvd'	restaurant
SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'castro st' AND T1.city = 'mountain view' AND T2.food_type = 'indian' AND T2.label LIKE '%cookhouse%'	restaurant
SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.review = 2 AND T1.street_num < 500	restaurant
SELECT COUNT(T1.id_restaurant) AS num FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.city = 'milpitas' AND T2.food_type = 'asian' AND T1.street_name = 'n milpitas blvd' AND T1.id_restaurant > 385	restaurant
SELECT T2.label, T1.id_restaurant FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.street_name = 'ocean avenue'	restaurant
SELECT T2.city, T1.street_num, T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.label = 'sanuki restaurant'	restaurant
SELECT T2.food_type FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_num = 22779 AND T1.street_name = '6th St' AND T2.city = 'hayward'	restaurant
SELECT COUNT(T2.food_type = 'american') FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'san francisco' AND T1.street_name = 'front'	restaurant
SELECT T1.id_restaurant FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.food_type = 'american' AND T1.street_num > 2000 GROUP BY T1.id_restaurant ORDER BY AVG(T2.review) * 0.7 DESC	restaurant
SELECT CAST(SUM(IIF(T2.food_type = 'afghani', 1, 0)) AS REAL) * 100 / COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE 1000 <= T1.street_num <= 2000	restaurant
SELECT label FROM generalinfo WHERE food_type = 'asian' AND city = 'san francisco' AND review = ( SELECT MAX(review) FROM generalinfo WHERE food_type = 'asian' AND city = 'san francisco' )	restaurant
SELECT COUNT(DISTINCT city) FROM geographic WHERE region = 'monterey'	restaurant
SELECT COUNT(id_restaurant) FROM generalinfo WHERE city = 'belmont' AND review > 2 AND food_type = 'deli'	restaurant
SELECT county FROM geographic WHERE region = 'northern california' GROUP BY county ORDER BY COUNT(city) DESC LIMIT 1	restaurant
SELECT COUNT(id_restaurant) FROM location WHERE city = 'concord'	restaurant
SELECT T2.region FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city ORDER BY T1.review DESC LIMIT 4	restaurant
SELECT COUNT(T1.id_restaurant) FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.city = 'livermore' AND T1.food_type = 'chinese' AND T2.street_name = '1st st'	restaurant
SELECT COUNT(T1.city) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'indian' AND T1.region = 'los angeles area'	restaurant
SELECT T2.food_type FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'bay area' GROUP BY T2.food_type ORDER BY COUNT(T2.food_type) DESC LIMIT 1	restaurant
SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.street_name = 'broadway' AND T2.review < 3 AND T1.city = 'oakland'	restaurant
SELECT T2.region AS num FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'baskin robbins' GROUP BY T2.region ORDER BY COUNT(T1.city) DESC LIMIT 1	restaurant
SELECT T1.street_name FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.food_type = 'pizza' AND T1.city = 'san jose'	restaurant
SELECT COUNT(T2.food_type) FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.region = 'yosemite and mono lake area'	restaurant
SELECT T2.street_name, T2.street_num, T2.city FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant ORDER BY T1.review DESC LIMIT 1	restaurant
SELECT T2.county FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city GROUP BY T2.county ORDER BY COUNT(T1.label) DESC LIMIT 1	restaurant
SELECT T1.region FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city GROUP BY T1.region ORDER BY COUNT(T2.id_restaurant) DESC LIMIT 1	restaurant
SELECT T1.street_num, T1.street_name, T1.city FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.review >= 4	restaurant
SELECT COUNT(Player_Id) FROM Player WHERE SUBSTR(DOB, 1, 4) > 1985	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE Man_of_the_Match = 41	soccer_2016
SELECT Match_Id FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008'	soccer_2016
SELECT COUNT(CASE WHEN T2.Country_Name = 'Australia' THEN T1.Player_Id ELSE NULL END) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id	soccer_2016
SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.Country_Name IS NOT NULL ORDER BY T2.DOB LIMIT 1	soccer_2016
SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id WHERE T2.Player_Name = 'SC Ganguly'	soccer_2016
SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'	soccer_2016
SELECT T2.Player_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_id INNER JOIN Batting_Style AS T3 ON T2.Batting_hand = T3.Batting_Id WHERE T1.Country_Name = 'Australia' AND T3.Batting_Hand = 'Right-hand bat'	soccer_2016
SELECT T2.Bowling_Skill FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id INNER JOIN Country AS T3 ON T1.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Australia' GROUP BY T2.Bowling_Skill	soccer_2016
SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'	soccer_2016
SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1	soccer_2016
SELECT T2.Player_Name FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match WHERE T1.Match_Date = '2008-04-18'	soccer_2016
SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly'	soccer_2016
SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'	soccer_2016
SELECT MAX(T3.Win_Margin) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE T1.Player_Name = 'SC Ganguly'	soccer_2016
SELECT CAST(SUM(T3.Win_Margin) AS REAL) / COUNT(*) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE T1.Player_Name = 'SC Ganguly'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Batting_Hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE SUBSTR(T1.DOB, 1, 4) > 1985	soccer_2016
SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`	soccer_2016
SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2	soccer_2016
SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Win_Margin = 138	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match WHERE T2.Match_Date = '2008-05-12'	soccer_2016
SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'	soccer_2016
SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013	soccer_2016
SELECT T2.DOB FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2014 AND T1.Orange_Cap IS NOT NULL	soccer_2016
SELECT T3.Country_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Season_Id = 7 AND T1.Purple_Cap IS NOT NULL	soccer_2016
SELECT T2.Country_Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id WHERE T1.City_Name = 'Ranchi'	soccer_2016
SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id	soccer_2016
SELECT T1.City_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T1.City_Id = T2.City_Id GROUP BY T1.City_Id ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1	soccer_2016
SELECT T2.Batting_hand FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T1.Player_Name = 'MK Pandey'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.Country_Name = 'South Africa' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id	soccer_2016
SELECT SUM(CASE WHEN T2.Venue_Name = 'M Chinnaswamy Stadium' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.Venue_Name = 'Maharashtra Cricket Association Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id	soccer_2016
SELECT Player_Name FROM Player ORDER BY DOB ASC LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN SUBSTR(Match_Date, 7, 1) = '5' THEN 1 ELSE 0 END) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008'	soccer_2016
SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'	soccer_2016
SELECT SUM(CASE WHEN Team_1 = 10 OR Team_2 = 10 THEN 1 ELSE 0 END) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2012'	soccer_2016
SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE Season_Id = 7	soccer_2016
SELECT SUM(CASE WHEN T1.Country_Name = 'South Africa' THEN 1 ELSE 0 END) FROM Country AS T1 INNER JOIN Umpire AS T2 ON T1.Country_ID = T2.Umpire_Country	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match GROUP BY T2.Man_of_the_Match ORDER BY COUNT(T2.Man_of_the_Match) DESC LIMIT 1	soccer_2016
SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T1.Country_Id = T2.Country_Name GROUP BY T2.Country_Name ORDER BY COUNT(T2.Country_Name) DESC LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap	soccer_2016
SELECT T1.Season_Id FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium' GROUP BY T1.Season_Id ORDER BY COUNT(T1.Season_Id) DESC LIMIT 1	soccer_2016
SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT Match_Winner FROM `Match` WHERE season_Id = 1 GROUP BY Match_Winner ORDER BY COUNT(Match_Winner) DESC LIMIT 1 )	soccer_2016
SELECT T3.Venue_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 INNER JOIN Venue AS T3 ON T2.Venue_Id = T3.Venue_Id WHERE T1.Team_Name = 'Kolkata Knight Riders' GROUP BY T3.Venue_Id ORDER BY COUNT(T3.Venue_Id) DESC LIMIT 1	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN ( SELECT COUNT(Team_1) AS a, Team_1 FROM Match WHERE Team_1 <> Match_Winner GROUP BY Team_1 UNION SELECT COUNT(Team_2) AS a, Team_2 FROM Match WHERE Team_2 <> Match_Winner GROUP BY Team_2 ORDER BY a DESC LIMIT 1 ) AS T2 ON T1.Team_Id = T2.Team_1	soccer_2016
SELECT Player_Name FROM Player WHERE Player_Id = ( SELECT Man_of_the_Match FROM `Match` ORDER BY match_date ASC LIMIT 1 )	soccer_2016
SELECT Match_Date FROM `Match` WHERE team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) OR Team_2 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) ORDER BY Match_Date ASC LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN T1.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS cnt FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T1.Batting_Id = T2.Batting_hand INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'India'	soccer_2016
SELECT T4.Player_Name FROM Team AS T1 INNER JOIN Player_Match AS T2 ON T1.Team_id = T2.Team_id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Player AS T4 ON T2.Player_Id = T4.Player_Id WHERE T1.Team_Name = 'Deccan Chargers' AND T1.Team_Id = 8 AND T3.Role_Desc = 'Captain' AND T3.Role_Id = 1 GROUP BY T4.Player_Id ORDER BY COUNT(T3.Role_Id) DESC LIMIT 1	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Player_Id) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T2.Batting_hand = T1.Batting_Id	soccer_2016
SELECT Player_name FROM Player WHERE DOB = '1981-07-07'	soccer_2016
SELECT SUM(CASE WHEN Player_Id = 2 THEN 1 ELSE 0 END) FROM Player_Match	soccer_2016
SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 ORDER BY T1.Win_Margin DESC LIMIT 1	soccer_2016
SELECT T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T2.City_Id = T1.City_Id INNER JOIN Country AS T3 ON T3.Country_Id = T2.Country_id WHERE T1.Venue_Name = 'St George''s Park'	soccer_2016
SELECT T3.Team_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T2.Match_Id = 335990 AND T3.Team_Name = 'Mumbai Indians' GROUP BY T3.Team_Name	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Match_Date = '2009-05-07' AND T2.Win_Margin = 7	soccer_2016
SELECT SUM(CASE WHEN T2.Outcome_Type = 'Superover' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Outcome AS T2 ON T2.Outcome_Id = T1.Outcome_type	soccer_2016
SELECT T1.City_Name FROM City AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Country_id WHERE T2.Country_Name = 'U.A.E'	soccer_2016
SELECT SUM(CASE WHEN T2.Team_Name = 'Pune Warriors' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner	soccer_2016
SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner WHERE T1.Match_Date LIKE '2015%' AND T1.Match_Id = 829768	soccer_2016
SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'	soccer_2016
SELECT SUM(CASE WHEN T2.Country_Name = 'South Africa' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Country_id	soccer_2016
SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id	soccer_2016
SELECT T1.Win_Margin FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 INNER JOIN Team AS T3 ON T3.Team_Id = T1.Team_2 WHERE (T2.Team_Name = 'Mumbai Indians' AND T3.Team_Name = 'Royal Challengers Bangalore' AND T1.Match_Date = '2008-05-28') OR (T2.Team_Name = 'Royal Challengers Bangalore' AND T3.Team_Name = 'Mumbai Indians' AND T1.Match_Date = '2008-05-28')	soccer_2016
SELECT DISTINCT CASE WHEN T1.Win_Margin < ( SELECT AVG(Win_Margin) * 0.3 FROM Match WHERE Match_Date LIKE '2011%' ) THEN T2.Team_Name END, CASE WHEN T1.Win_Margin < ( SELECT AVG(Win_Margin) * 0.3 FROM Match WHERE Match_Date LIKE '2011%' ) THEN T3.Team_Name END FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 INNER JOIN Team AS T3 ON T3.Team_Id = T1.Team_2 WHERE T1.Match_Date LIKE '2011%'	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'	soccer_2016
SELECT COUNT(Over_Id) FROM Ball_by_Ball WHERE Match_Id = 335996 AND Innings_No = 1	soccer_2016
SELECT Over_Id, Ball_Id, Innings_No FROM Batsman_Scored WHERE Match_Id = 336004 ORDER BY Runs_Scored DESC LIMIT 1	soccer_2016
SELECT Match_Id FROM Ball_by_Ball WHERE Over_Id = 20 GROUP BY Match_Id LIMIT 5	soccer_2016
SELECT SUM(CASE WHEN Match_Id = 548335 THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Innings_No = 1	soccer_2016
SELECT Player_name FROM Player WHERE DOB LIKE '1971%'	soccer_2016
SELECT Match_Id FROM Match WHERE Match_Date LIKE '%2015-04-18%'	soccer_2016
SELECT T1.Match_Id FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'hit wicket'	soccer_2016
SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'	soccer_2016
SELECT SUM(CASE WHEN T2.Player_Name = 'Yuvraj Singh' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match	soccer_2016
SELECT T2.Player_Name, T2.DOB FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.DOB LIKE '1977%' AND T1.Country_Name = 'England'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T2.Man_of_the_Match = T1.Player_Id INNER JOIN Season AS T3 ON T3.Season_Id = T2.Season_Id WHERE T3.Season_Year = 2010 GROUP BY T1.Player_Name	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.Match_Winner = 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 INNER JOIN Team AS T3 ON T3.Team_Id = T1.Team_2 WHERE T2.Team_Name = 'Chennai Super Kings' OR T3.Team_Name = 'Chennai Super Kings'	soccer_2016
SELECT T4.Player_Name, T5.Country_Name FROM Player_Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_Id INNER JOIN Match AS T3 ON T3.Match_Id = T1.Match_Id INNER JOIN Player AS T4 ON T4.Player_Id = T1.Player_Id INNER JOIN Country AS T5 ON T5.Country_Id = T4.Country_Name WHERE T2.Team_Name = 'Gujarat Lions' AND T3.Match_Date = '2016-04-11'	soccer_2016
SELECT T1.Player_Name, T1.DOB FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T2.Bowling_Id = T1.Bowling_skill WHERE T2.Bowling_skill = 'Left-arm fast'	soccer_2016
SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'	soccer_2016
SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Match AS T2 ON T2.Match_Id = T1.Match_Id INNER JOIN Player AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Rolee AS T4 ON T4.Role_Id = T1.Role_Id WHERE T2.Match_Date = '2008-06-01' AND T4.Role_Desc = 'Captain' AND T2.Match_Winner = T1.Team_Id	soccer_2016
SELECT T3.Team_Name, COUNT(T2.Match_Id) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T1.Player_Name = 'CK Kapugedera'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Venue_Name = 'Wankhede Stadium' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Match_Id) FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id INNER JOIN Match AS T3 ON T3.Venue_Id = T2.Venue_Id WHERE T1.City_Name = 'Mumbai'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Out_Name = 'bowled' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T1.Match_Id = 392187	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Toss_Name = 'field' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Toss_Id) FROM Match AS T1 INNER JOIN Toss_Decision AS T2 ON T2.Toss_Id = T1.Toss_Decide WHERE T1.Match_Date BETWEEN '2010-01-01' AND '2016-12-31'	soccer_2016
SELECT Toss_Winner FROM Match WHERE Toss_Decide = 2	soccer_2016
SELECT T1.Match_Id FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match WHERE T2.Player_Name = 'BB McCullum'	soccer_2016
SELECT T2.DOB FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match	soccer_2016
SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Toss_Winner WHERE T1.Match_Id BETWEEN 336010 AND 336020	soccer_2016
SELECT SUM(CASE WHEN T2.Team_Name = 'Mumbai Indians' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner	soccer_2016
SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name	soccer_2016
SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner WHERE T1.Match_Id = 336000	soccer_2016
SELECT T1.Match_Id FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T2.Venue_Name = 'Brabourne Stadium'	soccer_2016
SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name	soccer_2016
SELECT T1.City_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium'	soccer_2016
SELECT T2.Venue_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id WHERE T1.City_Name = 'Mumbai'	soccer_2016
SELECT T2.Match_Winner FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Venue_Name LIKE 'St George%'	soccer_2016
SELECT T2.City_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T1.Venue_Name LIKE 'St George%'	soccer_2016
SELECT SUM(T2.Match_Winner) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T1.Team_Name = 'Deccan Chargers'	soccer_2016
SELECT SUM(T1.Venue_Name) FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Pune'	soccer_2016
SELECT Ball_Id FROM Ball_by_Ball WHERE Non_Striker = Ball_Id ORDER BY Ball_Id DESC LIMIT 1	soccer_2016
SELECT CAST(SUM(CASE WHEN 1 < Over_Id AND Over_Id < 25 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(Runs_Scored) FROM Batsman_Scored WHERE Innings_No = 1	soccer_2016
SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2	soccer_2016
SELECT CAST(COUNT(CASE WHEN Win_Margin > 100 THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(Match_Id) FROM `Match`	soccer_2016
SELECT Player_Name FROM Player WHERE DOB BETWEEN '1970-01-01' AND '1990-12-31' ORDER BY DOB DESC	soccer_2016
SELECT SUM(CASE WHEN Fielders = '' THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Over_Id = 3	soccer_2016
SELECT T2.Country_Id, COUNT(T1.Umpire_Id) FROM Umpire AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Umpire_Country GROUP BY T2.Country_Id ORDER BY COUNT(T1.Umpire_Id) DESC LIMIT 1	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id	soccer_2016
SELECT Player_Out FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE Out_Name = 'hit wicket'	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Country_Name) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T1.Batting_id = T2.Batting_hand	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Bowling_skill = ' Legbreak' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id	soccer_2016
SELECT COUNT(T2.Win_Id) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_Type = 'wickets' AND T1.Win_Margin < 50	soccer_2016
SELECT SUM(CASE WHEN T1.Team_2 = T1.Match_Winner THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Team_1 = T1.Toss_Winner	soccer_2016
SELECT T2.Player_Name, T3.Country_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Season_Year = 2012	soccer_2016
SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1	soccer_2016
SELECT T4.City_Name FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Venue AS T3 ON T1.Venue_Id = T3.Venue_Id INNER JOIN City AS T4 ON T3.City_Id = T4.City_Id WHERE T2.Win_Type = 'NO Result' GROUP BY T4.City_Id ORDER BY COUNT(T2.Win_Type) ASC LIMIT 1	soccer_2016
SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Man_of_the_Series > 1	soccer_2016
SELECT T1.Player_Name, T4.Country_Name FROM Player AS T1 INNER JOIN Wicket_Taken AS T2 ON T1.Player_Id = T2.Fielders INNER JOIN Out_Type AS T3 ON T2.Kind_Out = T3.Out_Id INNER JOIN Country AS T4 ON T1.Country_Name = T4.Country_Id GROUP BY T1.Player_Name ORDER BY COUNT(T3.Out_Name) ASC	soccer_2016
SELECT CAST(COUNT(CASE WHEN T1.Team_1 = T1.Match_Winner = T1.Toss_Winner THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Team_1) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Toss_Decision AS T3 ON T1.Toss_Decide = T3.Toss_Id WHERE T3.Toss_Name = 'field' AND T2.Win_Type = 'runs'	soccer_2016
SELECT AVG(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T2.Out_Name = 'lbw'	soccer_2016
SELECT DISTINCT Over_Id FROM Ball_by_Ball WHERE Striker = 7	soccer_2016
SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2	soccer_2016
SELECT SUM(CASE WHEN Match_Date LIKE '2010-03%' THEN 1 ELSE 0 END) FROM `Match`	soccer_2016
SELECT SUM(CASE WHEN DOB < '1990-06-29' THEN 1 ELSE 0 END) FROM Player WHERE Player_Name != 'Gurkeerat Singh'	soccer_2016
SELECT SUM(CASE WHEN T2.Player_Name = 'SR Watson' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Match = T2.Player_Id	soccer_2016
SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Team AS T2 ON T1.Team_Id = T2.Team_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T2.Team_Name = 'Delhi Daredevils' GROUP BY T3.Player_Name ORDER BY COUNT(T1.Role_Id) DESC LIMIT 1	soccer_2016
SELECT T3.Player_Name FROM Season AS T1 INNER JOIN Match AS T2 ON T1.Man_of_the_Series = T2.Man_of_the_Match INNER JOIN Player AS T3 ON T2.Man_of_the_Match = T3.Player_Id GROUP BY T3.Player_Name ORDER BY COUNT(T1.Man_of_the_Series) DESC LIMIT 1	soccer_2016
SELECT T4.Season_Year, T4.Orange_Cap FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Season AS T4 ON T3.Season_Id = T4.Season_Id WHERE T1.Player_Name = 'SP Narine' GROUP BY T4.Season_Year, T4.Orange_Cap	soccer_2016
SELECT T5.Team_Name, T1.Orange_Cap, T1.Purple_Cap FROM Season AS T1 INNER JOIN Match AS T2 ON T1.Season_Id = T2.Season_Id INNER JOIN Player_Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Player AS T4 ON T3.Player_Id = T4.Player_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id GROUP BY T5.Team_Name, T1.Orange_Cap, T1.Purple_Cap	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'Zimbabwea'	soccer_2016
SELECT SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id	soccer_2016
SELECT SUM(CASE WHEN T2.Win_Type != 'runs' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id	soccer_2016
SELECT T1.Umpire_Name FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'New Zealand'	soccer_2016
SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'	soccer_2016
SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.Venue_Id = T2.Venue_Id INNER JOIN Team AS T3 ON T2.Team_1 = T3.Team_Id WHERE T3.Team_Name = 'Kochi Tuskers Kerala' GROUP BY T1.Venue_Name	soccer_2016
SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'	soccer_2016
SELECT CAST(COUNT(CASE WHEN T2.Win_Margin < 10 THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Venue_Id) FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Venue_Name = 'Dr DY Patil Sports Academy'	soccer_2016
SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'	soccer_2016
SELECT Player_Id FROM Player ORDER BY Bowling_skill DESC LIMIT 5	soccer_2016
SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3	soccer_2016
SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1	soccer_2016
SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015	soccer_2016
SELECT SUM(Runs_Scored) FROM Batsman_Scored WHERE Match_Id = 335988 AND Innings_No = 2	soccer_2016
SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1	soccer_2016
SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'	soccer_2016
SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'	soccer_2016
SELECT T2.Venue_Name, T3.City_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id INNER JOIN City AS T3 ON T2.City_Id = T3.City_Id WHERE T1.Match_Id = '336005'	soccer_2016
SELECT T2.Toss_Name, T1.Toss_Decide, T1.Toss_Winner FROM `Match` AS T1 INNER JOIN Toss_Decision AS T2 ON T1.Toss_Decide = T2.Toss_Id WHERE T1.Match_Id = '336011'	soccer_2016
SELECT SUM(CASE WHEN T1.DOB < '1980-4-11' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa'	soccer_2016
SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'	soccer_2016
SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1	soccer_2016
SELECT T1.Match_Id FROM `Match` AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Match = T2.Player_Id WHERE T2.Player_Name = 'V Kohli'	soccer_2016
SELECT SUM(CASE WHEN T1.Match_Date BETWEEN '2011%' AND '2012%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match INNER JOIN Country AS T3 ON T3.Country_Id = T2.Country_Name WHERE T3.Country_Name = 'Australia'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Man_of_the_Series = T2.Orange_Cap	soccer_2016
SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'	soccer_2016
SELECT T1.Umpire_Name, T1.Umpire_Id FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'England'	soccer_2016
SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 17	soccer_2016
SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16	soccer_2016
SELECT Match_Id FROM `Match` ORDER BY Match_Winner DESC LIMIT 1	soccer_2016
SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1	soccer_2016
SELECT Match_Date FROM `Match` ORDER BY Win_Margin DESC LIMIT 1	soccer_2016
SELECT Season_Id FROM `Match` GROUP BY Season_Id ORDER BY COUNT(Match_Id) LIMIT 1	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` GROUP BY Man_of_the_Match HAVING COUNT(Match_Id) >= 5	soccer_2016
SELECT T1.Player_name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match WHERE T2.Season_Id = 9 ORDER BY T2.Match_Date DESC LIMIT 1	soccer_2016
SELECT T1.Team_Name FROM team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Season_Id = 1 ORDER BY T2.Match_Date LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN T2.Country_Name = 'U.A.E' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN country AS T2 ON T1.Country_id = T2.Country_id	soccer_2016
SELECT T1.Umpire_Name FROM Umpire AS T1 INNER JOIN country AS T2 ON T2.Country_Id = T1.Umpire_Country WHERE T2.Country_Name = 'England'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Legbreak'	soccer_2016
SELECT SUM(CASE WHEN T1.Season_Id = 8 THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Team_1 = T2.Team_Id OR T1.Team_2 = T2.Team_Id WHERE T2.Team_Name = 'Rajasthan Royals'	soccer_2016
SELECT T2.Country_Name FROM Umpire AS T1 INNER JOIN country AS T2 ON T2.Country_Id = T1.Umpire_Country WHERE T1.Umpire_Name = 'TH Wijewardene'	soccer_2016
SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'	soccer_2016
SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T1.Country_Id = T2.Country_Name ORDER BY T2.DOB DESC LIMIT 1	soccer_2016
SELECT T3.Player_Name FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Winner = T2.Team_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id WHERE T1.Season_Id = 1 ORDER BY T1.Match_Date LIMIT 1	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1	soccer_2016
SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1	soccer_2016
SELECT SUM(CASE WHEN Innings_No = 1 THEN 1 ELSE 0 END) AS IN1 , SUM(CASE WHEN Innings_No = 2 THEN 1 ELSE 0 END) AS IN2 FROM Ball_by_Ball WHERE Match_Id = 336011	soccer_2016
SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2011%'	soccer_2016
SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'	soccer_2016
SELECT CAST(SUM(CASE WHEN Toss_Winner = Match_Winner THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN Match_Date LIKE '2012%' THEN 1 ELSE 0 END) FROM `Match`	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2009%' AND Win_Margin < 10	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2	soccer_2016
SELECT SUM(CASE WHEN T2.Player_Name = 'Mohammad Hafeez' THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.Match_Winner = T2.Team_Id THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Match_Id) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Team_1 = T2.Team_Id OR T1.Team_2 = T2.Team_Id WHERE T2.Team_Name = 'Mumbai Indians' AND T1.Match_Date LIKE '2009%'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id	soccer_2016
SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1	soccer_2016
SELECT T1.Bowling_skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Zimbabwea'	soccer_2016
SELECT T1.Umpire_Id, T1.Umpire_Name FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'New Zealand'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name	soccer_2016
SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'	soccer_2016
SELECT T1.Match_Id FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'penalty'	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 OR T1.Team_Id = T2.Team_2 INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE SUBSTR(T2.Match_Date, 1, 4) = '2015' AND T3.Win_Type = 'Tie' LIMIT 1	soccer_2016
SELECT CAST(COUNT(T1.Player_Out) AS REAL) / COUNT(T1.Match_Id), SUM(CASE WHEN T2.Out_Name = 'lbw' THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T1.Innings_No = 2	soccer_2016
SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2008%'	soccer_2016
SELECT COUNT(Match_Id) FROM Wicket_Taken WHERE innings_no = 2	soccer_2016
SELECT T1.Country_Name FROM Country AS T1 INNER JOIN city AS T2 ON T1.Country_Id = T2.Country_Id WHERE city_name = 'Rajkot'	soccer_2016
SELECT SUM(CASE WHEN T2.win_type = 'wickets' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 WHERE T2.win_margin = 38 AND match_date = '2009-04-30'	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Player_Match AS T2 ON T1.Team_Id = T2.Team_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id WHERE T2.match_id = 335989 AND T3.player_name = 'T Kohli'	soccer_2016
SELECT COUNT(T1.Venue_name) FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id WHERE T3.country_name = 'South Africa' AND T2.city_name = 'Centurion'	soccer_2016
SELECT COUNT(T1.Match_Winner) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 OR T2.Team_Id = T1.Team_2 WHERE T2.team_name = 'Delhi Daredevils' AND T1.Match_Date LIKE '2014%'	soccer_2016
SELECT T2.match_id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T1.team_name = 'Royal Challengers Bangalore' AND T2.match_date LIKE '2012%' ORDER BY T2.win_margin DESC LIMIT 1	soccer_2016
SELECT COUNT(T1.Match_Id) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T2.Player_Name = 'K Goel' AND T3.Role_Id = 3	soccer_2016
SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'	soccer_2016
SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT CASE WHEN Team_1 = Match_Winner THEN Team_2 ELSE Team_1 END FROM Match WHERE match_id = 336039 )	soccer_2016
SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768	soccer_2016
SELECT T1.team_name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.team_2 ORDER BY T2.win_margin LIMIT 1	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Match_Winner = 7 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Match_Winner) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Match_Date LIKE '2013%'	soccer_2016
SELECT SUM(CASE WHEN T3.Role_Id = 1 THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.Role_Id > 1 THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T2.Player_Name = 'SC Ganguly'	soccer_2016
SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2	soccer_2016
SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '1970%'	soccer_2016
SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2	soccer_2016
SELECT COUNT(Match_Id) FROM Match WHERE Match_date LIKE '2008-04%'	soccer_2016
SELECT City_Name FROM City WHERE Country_ID = 3	soccer_2016
SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL	soccer_2016
SELECT Country_id FROM City WHERE City_Name = 'East London'	soccer_2016
SELECT 2008 - strftime('%Y', DOB) FROM Player WHERE Player_Name = 'SC Ganguly'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_hand = 'Left-hand bat'	soccer_2016
SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'India'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'England'	soccer_2016
SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_ID = T2.City_ID WHERE T2.City_Name = 'Bangalore'	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name	soccer_2016
SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name	soccer_2016
SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id WHERE T3.Team_Id = 1 GROUP BY T1.Player_Name	soccer_2016
SELECT COUNT(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Captain' AND T2.Match_Date LIKE '2008%'	soccer_2016
SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name	soccer_2016
SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000	soccer_2016
SELECT T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T1.Player_Name = 'SB Joshi'	soccer_2016
SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Left-arm fast'	soccer_2016
SELECT T2.Outcome_Type FROM Match AS T1 INNER JOIN Outcome AS T2 ON T1.Outcome_type = T2.Outcome_Id WHERE T1.Match_Id = '392195'	soccer_2016
SELECT T3.City_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id INNER JOIN City AS T3 ON T2.Country_Id = T3.Country_Id ORDER BY T1.DOB LIMIT 1	soccer_2016
SELECT COUNT(DISTINCT T2.Match_Id) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T1.Team_Name = 'Kings XI Punjab' AND T4.Season_Year = 2008	soccer_2016
SELECT COUNT(T.Season_Year) FROM ( SELECT T4.Season_Year FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T1.Team_Name = 'Pune Warriors' GROUP BY T4.Season_Year ) T	soccer_2016
SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc	soccer_2016
SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'	soccer_2016
SELECT COUNT(T.Match_Id) FROM ( SELECT T2.Match_Id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id WHERE T1.Team_Name = 'Mumbai Indians' AND T2.Match_Date LIKE '2008%' GROUP BY T2.Match_Id ) T	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Win_By AS T4 ON T2.Win_Type = T4.Win_Id WHERE T2.Match_Id = '335993' GROUP BY T1.Team_Name	soccer_2016
SELECT COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_type = 'wickets'	soccer_2016
SELECT T4.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id INNER JOIN Season AS T5 ON T3.Season_Id = T5.Season_Id WHERE T1.Player_name = 'W Jaffer' AND T5.Season_Year = 2012	soccer_2016
SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE strftime('%Y', T1.DOB) BETWEEN '1975' AND '1985'	soccer_2016
SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id	soccer_2016
SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id	soccer_2016
SELECT COUNT(Match_Id) FROM Match WHERE win_margin = 7	soccer_2016
SELECT COUNT(Player_Id) FROM Player WHERE strftime('%Y', DOB) BETWEEN '1970' AND '1975'	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'	soccer_2016
SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135	soccer_2016
SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1	soccer_2016
SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'	soccer_2016
SELECT T2.Player_Name FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T1.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Captain' GROUP BY T2.Player_Name	soccer_2016
SELECT T1.Venue_Name, T3.Team_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id INNER JOIN Team AS T3 ON T2.match_winner = T3.Team_Id WHERE T2.Match_Id = 392194	soccer_2016
SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'	soccer_2016
SELECT groupName FROM torrents WHERE artist LIKE 'ron hunt & ronnie g & the sm crew' AND groupYear = 1979 AND releaseType LIKE 'single' AND totalSnatched = 239	music_tracker
SELECT totalSnatched FROM torrents WHERE artist LIKE 'blowfly' AND groupYear = 1980	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched DESC LIMIT 5	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag LIKE 'funk' AND T1.releaseType = 'single' ORDER BY T1.groupYear LIMIT 1	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag LIKE 'alternative' AND T1.releaseType = 'ep'	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'album' ORDER BY T1.totalSnatched LIMIT 5	music_tracker
SELECT T2.tag, T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'single' ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT COUNT(id) FROM tags WHERE tag LIKE '1980s'	music_tracker
SELECT totalSnatched FROM torrents WHERE groupName LIKE 'city funk'	music_tracker
SELECT groupName FROM torrents WHERE totalSnatched > 20000	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupName = 'sugarhill gang'	music_tracker
SELECT COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupName = 'city funk'	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s'	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s' ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT COUNT(T1.groupName) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'pop' AND T1.artist = 'michael jackson'	music_tracker
SELECT COUNT(T1.groupName) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'pop' AND T1.releaseType = 'album' AND T1.groupYear = 2000	music_tracker
SELECT CAST(SUM(T1.totalSnatched) AS REAL) / COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = '1980s'	music_tracker
SELECT groupName FROM torrents ORDER BY totalSnatched DESC LIMIT 3	music_tracker
SELECT artist, groupName FROM torrents WHERE groupYear = 2012 AND releaseType LIKE 'Single' ORDER BY totalSnatched DESC LIMIT 1	music_tracker
SELECT COUNT(id), ( SELECT COUNT(id) FROM torrents WHERE groupYear BETWEEN 2010 AND 2015 AND artist LIKE '50 cent' AND releaseType LIKE 'album' ) FROM torrents WHERE groupYear BETWEEN 2010 AND 2015 AND artist LIKE '50 cent' AND releaseType LIKE 'Single'	music_tracker
SELECT ( SELECT groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' ORDER BY groupYear LIMIT 1, 1 ) - groupYear FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'album' AND groupYear = 1991	music_tracker
SELECT AVG(totalSnatched) FROM torrents WHERE artist LIKE '2Pac' AND releaseType LIKE 'Single' AND groupYear BETWEEN 2001 AND 2013	music_tracker
SELECT T1.groupName, T1.groupYear, T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'live album' ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT artist FROM torrents WHERE groupYear = 2016 AND releaseType LIKE 'bootleg' GROUP BY artist HAVING COUNT(releaseType) > 2	music_tracker
SELECT artist FROM torrents WHERE groupYear BETWEEN 1980 AND 1982 AND releaseType LIKE 'single'	music_tracker
SELECT groupName FROM torrents WHERE totalSnatched >= 20 AND releaseType LIKE 'single' AND id BETWEEN 10 AND 20	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'disco' AND T1.groupYear BETWEEN 1980 AND 1982	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'funk' AND T1.groupYear = 1980 AND T1.totalSnatched <= 100	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'soul' AND T1.releaseType = 'single' GROUP BY T1.artist ORDER BY COUNT(T1.releaseType) DESC LIMIT 1	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'funk' AND T1.groupYear = 1980 AND T1.id BETWEEN 10 AND 30	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'jazz' AND T1.groupYear >= 1982 ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.id = 16	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.id BETWEEN 10 AND 50 AND T2.tag LIKE 'new.york' ORDER BY T1.totalSnatched DESC LIMIT 1	music_tracker
SELECT COUNT(T1.artist) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'dance' AND T1.groupYear BETWEEN 1980 AND 1985 AND T1.releaseType LIKE 'album' OR T1.releaseType LIKE 'mixtape'	music_tracker
SELECT COUNT(T2.tag) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'soul' AND T1.groupYear BETWEEN 1979 AND 1981 AND T1.releaseType LIKE 'single'	music_tracker
SELECT COUNT(releaseType) FROM torrents WHERE releaseType LIKE 'single' AND groupYear = 1979	music_tracker
SELECT COUNT(releaseType) FROM torrents WHERE artist LIKE 'sugar daddy' AND releaseType LIKE 'Single' AND groupYear = 1980	music_tracker
SELECT COUNT(T1.id) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T2.tag = 'christmas' AND T1.groupYear = 2004 AND T1.releaseType LIKE 'album'	music_tracker
SELECT T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 2000 AND 2010 AND T1.artist LIKE 'kurtis blow'	music_tracker
SELECT T1.groupName, T2.tag FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear = 1980 AND T1.artist LIKE 'millie jackson' AND T1.releaseType LIKE 'album'	music_tracker
SELECT T1.groupName FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear = 2005 AND T2.tag LIKE 'jazz'	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 1980 AND 2000 AND T2.tag LIKE 'disco' GROUP BY T1.artist ORDER BY COUNT(T2.tag) DESC LIMIT 1	music_tracker
SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.releaseType = 'single' AND T2.tag LIKE '1970s'	music_tracker
SELECT CAST(SUM(CASE WHEN T2.tag LIKE 'united.states' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.releaseType) FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 1979 AND 1982 AND T1.releaseType LIKE 'album'	music_tracker
SELECT COUNT(CountryCode) FROM Country WHERE LendingCategory = 'IDA' AND OtherGroups = 'HIPC'	world_development_indicators
SELECT ShortName, ExternalDebtReportingStatus FROM Country WHERE LendingCategory = 'IDA'	world_development_indicators
SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'SM.POP.TOTL'	world_development_indicators
SELECT T1.SHORTNAME, T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.Region = 'Latin America & Caribbean' AND T2.Seriescode = 'SM.POP.TOTL'	world_development_indicators
SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SM.POP.TOTL' AND T1.IncomeGroup = 'Low income'	world_development_indicators
SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.LendingCategory = 'IDA' AND T2.Seriescode = 'SM.POP.TOTL'	world_development_indicators
SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.LendingCategory = 'IDA' AND T2.Seriescode = 'SM.POP.TOTL' AND IncomeGroup = 'Low income'	world_development_indicators
SELECT COUNT(T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.IncomeGroup = 'High income: OECD' AND T1.CurrencyUnit = 'Euro' AND T2.Seriescode = 'SP.DYN.AMRT.FE'	world_development_indicators
SELECT T1.LongName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Estimates are derived FROM data on foreign-born population.' AND T2.Seriescode = 'SM.POP.TOTL'	world_development_indicators
SELECT T2.Description FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'AG.LND.FRST.K2' AND T2.Year = 'YR1990'	world_development_indicators
SELECT T2.Year FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'AG.LND.FRST.K2'	world_development_indicators
SELECT T1.SHORTNAME FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Data are classified as official aid.' AND T2.Seriescode = 'DC.DAC.AUSL.CD' AND T2.Year LIKE '%2002%'	world_development_indicators
SELECT COUNT(T2.SeriesCode) FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Year = 'YR2002'	world_development_indicators
SELECT COUNT(T2.Year) FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'BX.KLT.DINV.CD.WD'	world_development_indicators
SELECT AVG(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName LIKE 'adolescent fertility rate%'	world_development_indicators
SELECT DISTINCT T1.SpecialNotes FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Value = ( SELECT Value FROM Indicators WHERE IndicatorName LIKE 'Adolescent fertility rate%' ORDER BY Value DESC LIMIT 1 )	world_development_indicators
SELECT CountryCode, Alpha2Code FROM Country WHERE Region = 'East Asia & Pacific' AND IncomeGroup = 'High income: nonOECD'	world_development_indicators
SELECT LongName, Alpha2Code FROM Country WHERE LatestTradeData = 2013 AND LatestWaterWithdrawalData = 2013	world_development_indicators
SELECT CAST(SUM(Value) AS REAL) / COUNT(CountryCode) FROM Indicators WHERE CountryName = 'Algeria' AND Year > 1974 AND Year < 1981 AND IndicatorName = 'Adjusted net enrolment rate, primary, both sexes (%)'	world_development_indicators
SELECT IndicatorName, AggregationMethod FROM Series WHERE Topic = 'Economic Policy & Debt: Balance of payments: Capital & financial account'	world_development_indicators
SELECT SeriesCode FROM Series WHERE Topic = 'Environment: Emissions' AND LicenseType = 'Restricted'	world_development_indicators
SELECT COUNT(T2.CountryCode)  FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T1.IndicatorName = 'CO2 emissions FROM gaseous fuel consumption (kt)' AND T1.Year = 1970 AND T1.Value > 600	world_development_indicators
SELECT DISTINCT T1.CountryCode, T1.Year, T1.Value FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Latin America & Caribbean' AND T1.IndicatorName = 'CO2 emissions (kt)' AND T1.Year > 1965 AND T1.Year < 1980 ORDER BY T1.Value DESC LIMIT 3	world_development_indicators
SELECT T2.Description FROM Series AS T1 INNER JOIN SeriesNotes AS T2 ON T1.SeriesCode = T2.Seriescode WHERE T1.SeriesCode = 'SP.DYN.TO65.MA.ZS' AND T1.Topic = 'Health: Mortality' AND T2.Year = 'YR1967'	world_development_indicators
SELECT DISTINCT T1.Description FROM FootNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Year = 'YR1981' AND T2.ShortName = 'Albania'	world_development_indicators
SELECT DISTINCT T1.Description FROM FootNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Year = 'YR1984' AND T2.ShortName = 'The Bahamas' AND T1.Seriescode = 'SH.DTH.IMRT'	world_development_indicators
SELECT T2.ShortName FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Net bilateral aid flows FROM DAC donors, Sweden (current US$)' AND T1.Year = 1970 AND T1.Value = 570000	world_development_indicators
SELECT DISTINCT T1.Wb2code, T1.LendingCategory FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Data source : Human Mortality Database by University of California, Berkeley, and Max Planck Institute for Demographic Research.' AND T1.LendingCategory != ''	world_development_indicators
SELECT T2.Topic, T2.Seriescode, T2.LicenseType FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year = 1961 AND T1.CountryName = 'Haiti' AND T1.IndicatorName = 'Total reserves minus gold (current US$)' AND T1.Value = 3000000	world_development_indicators
SELECT COUNT(T1.CountryCode) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Adjusted net national income per capita (constant 2005 US$)' AND T1.ExternalDebtReportingStatus = 'Preliminary' AND T2.Value > 1000	world_development_indicators
SELECT CountryName FROM Indicators WHERE Year = 1979 AND IndicatorName = 'Fertility rate, total (births per woman)' AND value >= 4 AND Value <= 5	world_development_indicators
SELECT TableName, SourceOfMostRecentIncomeAndExpenditureData FROM Country WHERE Region = 'South Asia' AND IncomeGroup = 'Low income'	world_development_indicators
SELECT DISTINCT T2.Source FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode INNER JOIN Country AS T3 ON T1.Countrycode = T3.CountryCode WHERE T3.Region = 'Latin America & Caribbean' AND T2.IndicatorName = 'Children out of school, primary'	world_development_indicators
SELECT T2.Source FROM CountryNotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode INNER JOIN Country AS T3 ON T1.Countrycode = T3.CountryCode INNER JOIN SeriesNotes AS T4 ON T2.SeriesCode = T4.Seriescode WHERE T4.Year LIKE '%2002%' AND T2.IndicatorName = 'Net migration'	world_development_indicators
SELECT DISTINCT T3.Description FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode INNER JOIN CountryNotes AS T3 ON T2.CountryCode = T3.Countrycode WHERE T1.Region = 'North America' AND T2.IndicatorName = 'Out-of-school children of primary school age, both sexes (number)'	world_development_indicators
SELECT DISTINCT T1.CountryCode, T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.LatestTradeData = 2013 AND T2.IndicatorName LIKE 'GDP growth (annual %)' AND T2.year = 2014 AND T2.Value > 0 ORDER BY T2.Value ASC	world_development_indicators
SELECT DISTINCT T1.CountryCode, T3.Description FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode INNER JOIN CountryNotes AS T3 ON T1.CountryCode = T3.Countrycode WHERE T2.IndicatorName = 'Out-of-pocket health expenditure (% of private expenditure on health)' AND T2.Value > 0 AND T2.year = 2005 ORDER BY T2.Value DESC LIMIT 10	world_development_indicators
SELECT COUNT(CountryCode) FROM Country WHERE Region = 'South Asia' AND IncomeGroup = 'Low income'	world_development_indicators
SELECT ShortName FROM Country WHERE LatestTradeData > 2010	world_development_indicators
SELECT  CAST(SUM(CASE WHEN Region = 'Sub-Saharan Africa' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(CountryCode) FROM Country WHERE SystemOfTrade = 'Special trade system'	world_development_indicators
SELECT CAST(SUM(T2.Value) AS REAL) / COUNT(T1.CountryCode) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Region = 'Europe & Central Asia' AND T2.IndicatorName = 'Arms imports (SIPRI trend indicator values)'	world_development_indicators
SELECT T1.CountryCode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income' AND T2.IndicatorName = 'CO2 emissions (kt)' ORDER BY T2.Value ASC LIMIT 1	world_development_indicators
SELECT MIN(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.OtherGroups = 'HIPC' AND T2.IndicatorName = 'International migrant stock, total'	world_development_indicators
SELECT DISTINCT T2.IndicatorName FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T1.Year = 'YR2000' AND T2.Topic = 'Education: Inputs'	world_development_indicators
SELECT COUNT(DISTINCT T2.SeriesCode)  FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T1.Year IN ('YR2001', 'YR2002', 'YR2003') AND T2.Periodicity = 'Annual' AND T2.AggregationMethod = 'Sum'	world_development_indicators
SELECT T1.Seriescode, T2.Source FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T1.Year LIKE '%2005%' AND T2.Source LIKE 'International Monetary Fund%'	world_development_indicators
SELECT CAST(SUM(CASE WHEN T2.value > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.CountryCode) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Region = 'South Asia' AND T2.IndicatorName = 'Life expectancy at birth, female (years)'	world_development_indicators
SELECT CountryName FROM Indicators WHERE Year BETWEEN 1960 AND 1965 AND IndicatorName = 'Death rate, crude (per 1,000 people)' ORDER BY Value DESC LIMIT 1	world_development_indicators
SELECT IndicatorName FROM Indicators WHERE CountryName = 'Arab World' AND Year = 1960 AND Value > 50	world_development_indicators
SELECT CountryName FROM Indicators WHERE IndicatorName = 'Merchandise imports by the reporting economy (current US$)' ORDER BY Value DESC LIMIT 1	world_development_indicators
SELECT DISTINCT T2.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year = 1965 AND T1.Value > 100 AND T2.Periodicity = 'Annual'	world_development_indicators
SELECT DISTINCT T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year >= 1968 AND T1.Year < 1971 AND T2.LicenseType = 'Open' AND T1.Value < 100	world_development_indicators
SELECT T1.CountryName, T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T2.Topic = 'Private Sector & Trade: Exports' ORDER BY T1.Value DESC LIMIT 1	world_development_indicators
SELECT T1.IndicatorName, MIN(T1.Value) FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T2.AggregationMethod = 'Weighted average'	world_development_indicators
SELECT T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.CountryName = 'Sudan' AND T1.Year = 1961 AND T2.Periodicity = 'Annual'	world_development_indicators
SELECT CountryName FROM Indicators WHERE Value = ( SELECT MIN(T1.Value) FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year >= 1960 AND T1.Year < 1966 AND T2.Topic = 'Health: Population: Structure' )	world_development_indicators
SELECT SUM(CASE WHEN T2.IndicatorName = 'CO2 emissions FROM liquid fuel consumption (% of total)' AND t2.Value < 80 THEN 1 ELSE 0 END) * 1.0 / COUNT(T1.CountryCode) persent FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income'	world_development_indicators
SELECT DISTINCT IndicatorCode FROM Indicators WHERE IndicatorName = 'Rural population'	world_development_indicators
SELECT TableName  FROM Country WHERE SystemOfNationalAccounts = 'Country uses the 2008 System of National Accounts methodology.'	world_development_indicators
SELECT DISTINCT T2.SeriesCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Euro'	world_development_indicators
SELECT T1.LongName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'DT.DOD.DSTC.CD'	world_development_indicators
SELECT T2.SeriesCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Hong Kong dollar'	world_development_indicators
SELECT T1.TableName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SP.DYN.TO65.MA.ZS'	world_development_indicators
SELECT DISTINCT T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Low income'	world_development_indicators
SELECT T2.SeriesCode, T2.CountryCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.Region = 'Latin America & Caribbean' AND t1.incomegroup = 'Low income'	world_development_indicators
SELECT T1.CountryCode, T2.SeriesCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Australian dollar' AND T1.IncomeGroup = 'Lower middle income'	world_development_indicators
SELECT DISTINCT T1.CountryName FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IncomeGroup = 'Upper middle income' UNION SELECT longname FROM ( SELECT longname FROM country WHERE NationalAccountsBaseYear <> '' ORDER BY NationalAccountsBaseYear ASC LIMIT 1 )	world_development_indicators
SELECT DISTINCT T1.CountryCode, T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.CurrencyUnit = 'Euro' AND (T1.IncomeGroup = 'High income: OECD' OR T1.IncomeGroup = 'High income: nonOECD')	world_development_indicators
SELECT T1.TableName, T1.CurrencyUnit FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'FP.CPI.TOTL'	world_development_indicators
SELECT DISTINCT T1.CountryCode, T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'High income: nonOECD'	world_development_indicators
SELECT DISTINCT T1.CountryCode, T1.CurrencyUnit, T1.IncomeGroup FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Pound sterling' AND T1.IncomeGroup LIKE '%high income%'	world_development_indicators
SELECT CountryCode, ShortName FROM Country LIMIT 10	world_development_indicators
SELECT COUNT(ShortName) FROM Country WHERE ShortName LIKE 'A%' UNION SELECT alpha2code FROM country WHERE shortname LIKE 'A%'	world_development_indicators
SELECT TableName FROM Country WHERE CurrencyUnit = 'Euro'	world_development_indicators
SELECT COUNT(LongName) FROM Country WHERE SpecialNotes = '' UNION SELECT longname FROM country WHERE specialnotes = ''	world_development_indicators
SELECT CountryCode, Region FROM Country WHERE (IncomeGroup = 'High income: OECD' OR IncomeGroup = 'High income: nonOECD') AND Region LIKE '%Asia%'	world_development_indicators
SELECT LongName FROM Country WHERE NationalAccountsBaseYear < '1980' AND NationalAccountsBaseYear != ''	world_development_indicators
SELECT T1.CountryCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.IncomeGroup = 'Low income' AND T2.Seriescode = 'DT.DOD.DECT.CD'	world_development_indicators
SELECT DISTINCT T1.TableName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Covers mainland Tanzania only.'	world_development_indicators
SELECT T2.Description, T2.Seriescode FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.TableName = 'Benin' AND T2.Year = 'YR2005'	world_development_indicators
SELECT DISTINCT T2.Description FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.TableName = 'Finland' AND T2.Year = 'YR2000'	world_development_indicators
SELECT DISTINCT T2.Year, T1.TableName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Air transport, passengers carried'	world_development_indicators
SELECT DISTINCT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Year = 1980 AND T2.IndicatorName IS NOT NULL	world_development_indicators
SELECT T1.currencyunit, T2.IndicatorCode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.TableName = 'Malaysia' AND T2.Year = 1970	world_development_indicators
SELECT DISTINCT T1.CountryCode, T1.Region FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode ORDER BY T2.Value DESC LIMIT 5	world_development_indicators
SELECT COUNT(DISTINCT T1.Countrycode) FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Sources: UN Energy Statistics (2014)' UNION SELECT DISTINCT t1.CurrencyUnit FROM country AS t1 INNER JOIN countrynotes AS t2 ON t1.CountryCode = t2.Countrycode WHERE t2.Description = 'Sources: UN Energy Statistics (2014)'	world_development_indicators
SELECT COUNT(T2.Description) FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Year = 'YR1980' UNION ALL SELECT DISTINCT T1.TableName FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Year = 'YR1980'	world_development_indicators
SELECT T2.seriescode, T1.Wb2Code FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Data sources : Eurostat'	world_development_indicators
SELECT T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Low income' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' ORDER BY T2.Value LIMIT 1	world_development_indicators
SELECT SUM(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup LIKE '%middle income' AND T2.Year = 1960 AND T2.IndicatorName = 'Urban population'	world_development_indicators
SELECT T2.countryname, T1.CurrencyUnit FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Adjusted net national income (annual % growth)' AND T2.Year = 1980 AND T1.CurrencyUnit != '' ORDER BY T2.Value DESC LIMIT 1	world_development_indicators
SELECT COUNT(CountryCode) FROM Country WHERE SystemOfNationalAccounts = 'Country uses the 1993 System of National Accounts methodology.'	world_development_indicators
SELECT ShortName FROM Country WHERE VitalRegistrationComplete = 'Yes'	world_development_indicators
SELECT ShortName, LongName FROM Country WHERE LatestPopulationCensus >= 2010 AND LatestPopulationCensus < 2013 AND VitalRegistrationComplete = 'Yes'	world_development_indicators
SELECT CountryName FROM Indicators WHERE Year = 1960 AND IndicatorName = 'CO2 emissions (metric tons per capita)' ORDER BY Value DESC LIMIT 1	world_development_indicators
SELECT CAST(MAX(value) AS REAL) / MIN(value) FROM indicators WHERE indicatorname = 'Number of infant deaths' AND year = '1971' UNION ALL SELECT countryname FROM ( SELECT countryname, MAX(value) FROM indicators WHERE indicatorname = 'Number of infant deaths' AND year = '1971' ) UNION SELECT countryname FROM ( SELECT countryname, MIN(value) FROM indicators WHERE indicatorname = 'Number of infant deaths' AND year = '1971' )	world_development_indicators
SELECT T1.ShortName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.SeriesCode = 'SP.DYN.CBRT.IN'	world_development_indicators
SELECT DISTINCT T1.CountryCode FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Data are classified as official aid.'	world_development_indicators
SELECT DISTINCT T1.ShortName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Estimates are based on regression.'	world_development_indicators
SELECT DISTINCT T1.CountryCode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Year = 1970 AND T1.Region = 'East Asia & Pacific' AND T2.Value > 2000000 AND t2.indicatorname = 'Urban population'	world_development_indicators
SELECT MAX(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income' AND T2.Year = 1960 AND T2.IndicatorName = 'Population, total'	world_development_indicators
SELECT COUNT(CountryCode)  FROM Country WHERE SystemOfNationalAccounts = 'Country uses the 1968 System of National Accounts methodology.'	world_development_indicators
SELECT DISTINCT T1.ShortName FROM Country AS T1 INNER JOIN footnotes AS T2 ON T1.CountryCode = T2.CountryCode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T1.IncomeGroup = 'Upper middle income' AND T1.Region = 'East Asia & Pacific' AND T3.Topic = 'Social Protection & Labor: Migration'	world_development_indicators
SELECT DISTINCT T1.LongName FROM Country AS T1 INNER JOIN footnotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T3.Topic = 'Poverty: Shared prosperity'	world_development_indicators
SELECT DISTINCT T1.TableName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.LatestTradeData = 2013 AND T2.IndicatorCode = 'SP.DYN.CDRT.IN'	world_development_indicators
SELECT DISTINCT T3.LongName FROM SeriesNotes AS T1 INNER JOIN CountryNotes AS T2 ON T1.SeriesCode = T2.Seriescode INNER JOIN Country AS T3 ON T2.Countrycode = T3.CountryCode WHERE T3.Region = 'Sub-Saharan Africa' AND T1.SeriesCode = 'SP.DYN.AMRT.FE'	world_development_indicators
SELECT ShortName FROM country WHERE currencyunit = 'U.S. dollar' LIMIT 3	world_development_indicators
SELECT LongName FROM Country WHERE IncomeGroup = 'Low income' AND Region = 'South Asia'	world_development_indicators
SELECT LongName FROM Country WHERE SystemOfTrade = 'Special trade system' LIMIT 2	world_development_indicators
SELECT CountryName FROM Indicators WHERE IndicatorName LIKE 'CO2 emissions FROM transport%' ORDER BY Value DESC LIMIT 1	world_development_indicators
SELECT CountryName FROM Indicators WHERE IndicatorName LIKE 'Arable land (% of land area)' ORDER BY Value DESC LIMIT 1	world_development_indicators
SELECT DISTINCT Topic FROM Series WHERE LicenseType = 'Restricted'	world_development_indicators
SELECT CountryCode FROM Country WHERE IncomeGroup = 'Upper middle income' AND ExternalDebtReportingStatus = 'Preliminary'	world_development_indicators
SELECT CAST(SUM(CASE WHEN ExternalDebtReportingStatus = 'Actual' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(CountryCode) FROM Country WHERE region = 'Middle East & North Africa'	world_development_indicators
SELECT SUM(CASE WHEN GovernmentAccountingConcept = 'Budgetary central government' THEN 1 ELSE 0 END), SUM(CASE WHEN GovernmentAccountingConcept = 'Consolidated central government' THEN 1 ELSE 0 END) central_nums FROM country WHERE ExternalDebtReportingStatus = 'Actual'	world_development_indicators
SELECT COUNT(CountryCode)  FROM Country WHERE Region = 'East Asia & Pacific' AND ExternalDebtReportingStatus = 'Estimate'	world_development_indicators
SELECT SUM(CASE WHEN IncomeGroup = 'Lower middle income' THEN 1 ELSE 0 END) * 100.0 / COUNT(CountryCode) persentage FROM Country WHERE Region = 'Sub-Saharan Africa'	world_development_indicators
SELECT MAX(T1.Value) FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Year >= 1961 AND T1.Year < 1981 AND T1.IndicatorName LIKE 'Agricultural land (% of land area)' AND T2.LongName = 'Republic of Benin'	world_development_indicators
SELECT DISTINCT T2.LongName FROM CountryNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Description = 'Sources: UN Energy Statistics (2014)' LIMIT 3	world_development_indicators
SELECT T1.Value FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.LongName = 'Commonwealth of Australia' AND T1.IndicatorName = 'Deposit interest rate (%)' AND T1.Year = 1979	world_development_indicators
SELECT T1.Seriescode, T1.Description FROM CountryNotes AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.ShortName = 'Germany'	world_development_indicators
SELECT DISTINCT T3.Topic FROM CountryNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode INNER JOIN Series AS T3 ON T1.Seriescode = T3.SeriesCode WHERE T2.ShortName = 'Austria'	world_development_indicators
SELECT DISTINCT T1.Topic, T2.Description FROM Series AS T1 INNER JOIN SeriesNotes AS T2 ON T1.SeriesCode = T2.Seriescode WHERE T1.SeriesCode = 'SP.DYN.AMRT.MA'	world_development_indicators
SELECT COUNT(DISTINCT T1.CountryCode)  FROM Country AS T1 INNER JOIN Footnotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Unspecified' OR T2.Description = 'Not specified' UNION SELECT T1.LongName FROM Country AS T1 INNER JOIN Footnotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Description = 'Unspecified' OR T2.Description = 'Not specified' LIMIT 4	world_development_indicators
SELECT T2.CountryCode FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName LIKE 'Land under cereal production%' AND T1.Value = 3018500 AND T1.Year = 1980 AND T2.ExternalDebtReportingStatus = 'Actual'	world_development_indicators
SELECT CAST(SUM(CASE WHEN T1.Value > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.CountryCode) FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Year = 1961 AND T2.Region = 'Latin America & Caribbean' AND indicatorname = 'Agricultural land (% of land area)'	world_development_indicators
SELECT LongName FROM Country WHERE IncomeGroup = 'Low income' AND Region = 'South Asia'	world_development_indicators
SELECT DISTINCT IndicatorCode FROM Indicators WHERE CountryName = 'Brazil' AND IndicatorName = 'Mobile cellular subscriptions'	world_development_indicators
SELECT COUNT(longname) FROM country WHERE region = 'Europe & Central Asia' AND currencyunit = 'Danish krone' UNION SELECT longname FROM country WHERE currencyunit = 'Danish krone' AND region = 'Europe & Central Asia'	world_development_indicators
SELECT countryname, MAX(value) FROM indicators WHERE indicatorname = 'Rural population (% of total population)'	world_development_indicators
SELECT COUNT(LongName) FROM country WHERE LatestPopulationCensus = '2011' UNION ALL SELECT LongName FROM country WHERE LatestPopulationCensus = '2011'	world_development_indicators
SELECT Value FROM Indicators WHERE IndicatorName = 'Agricultural land (sq. km)' AND Year = 1968 AND CountryName = 'Italy'	world_development_indicators
SELECT MAX(T1.value), T1.year FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Sub-Saharan Africa' AND T1.IndicatorName = 'Out-of-school children of primary school age, female (number)'	world_development_indicators
SELECT DISTINCT T3.Seriescode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode INNER JOIN CountryNotes AS T3 ON T2.CountryCode = T3.Countrycode WHERE T2.IndicatorName = 'Number of infant deaths' AND T1.LongName = 'Islamic State of Afghanistan' AND T2.Year = 1965	world_development_indicators
SELECT COUNT(DISTINCT T1.CountryCode) FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T2.SystemOfNationalAccounts = 'Country uses the 1968 System of National Accounts methodology.' AND T1.IndicatorName = 'CO2 emissions FROM solid fuel consumption (kt)' UNION SELECT * FROM ( SELECT T1.CountryName FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Region = 'Middle East & North Africa' AND T2.SystemOfNationalAccounts = 'Country uses the 1968 System of National Accounts methodology.' AND T1.IndicatorName = 'CO2 emissions FROM solid fuel consumption (kt)' GROUP BY T1.CountryName ORDER BY SUM(T1.value) DESC LIMIT 1 )	world_development_indicators
SELECT DISTINCT T1.IndicatorCode FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Year = 1960 AND T2.LongName = 'Republic of Albania'	world_development_indicators
SELECT T1.LendingCategory FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Cereal production (metric tons)' AND T2.Value = 6140000 AND T2.Year = 1966	world_development_indicators
SELECT T2.CountryCode, T2.Region FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Population in largest city' AND T1.Year >= 1960 AND T1.Year < 1980 ORDER BY T2.Region DESC LIMIT 1	world_development_indicators
SELECT SUM(T1.Value), T1.Year FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'CO2 emissions (kt)' AND T1.Year >= 1975 AND T1.Year < 1981 AND T1.CountryCode = 'WLD' AND T2.SpecialNotes = 'World aggregate.'	world_development_indicators
SELECT T1.CountryName, SUM(T1.Value) area, T2.IncomeGroup FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Land area (sq. km)' AND T1.Year >= 1961 AND T1.Year < 1980 GROUP BY T1.CountryCode ORDER BY SUM(T1.Value) ASC LIMIT 1	world_development_indicators
SELECT AVG(T1.Value), T2.SystemOfTrade FROM Indicators AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IndicatorName = 'Air transport, passengers carried' AND T1.Year >= 1970 AND T1.Year < 1981 AND T1.CountryName = 'Bulgaria'	world_development_indicators
SELECT LatestHouseholdSurvey, PppSurveyYear FROM Country WHERE ShortName = 'Angola'	world_development_indicators
SELECT COUNT(CountryCode) FROM Country WHERE VitalRegistrationComplete = 'Yes' AND Region = 'North America'	world_development_indicators
SELECT T2.Year FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)'	world_development_indicators
SELECT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Arms exports (SIPRI trend indicator values)' AND T2.Year = 1960 AND T2.Value = 3000000	world_development_indicators
SELECT T1.Alpha2Code FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Rural population' AND T2.Year = 1960	world_development_indicators
SELECT DISTINCT T1.CountryCode, T1.SpecialNotes FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Value = ( SELECT Value FROM Indicators WHERE IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND Year = 1960 ORDER BY Value DESC LIMIT 1 )	world_development_indicators
SELECT ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1961 ) - ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 ) DIFF	world_development_indicators
SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T2.Seriescode = 'SP.ADO.TFRT' AND T1.ShortName = 'Australia'	world_development_indicators
SELECT T2.Description FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T1.ShortName = 'Aruba' AND T3.Topic = 'Environment: Energy production & use'	world_development_indicators
SELECT T1.ShortName FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T3.Seriescode = 'BX.KLT.DINV.CD.WD'	world_development_indicators
SELECT T1.Region FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode INNER JOIN Series AS T3 ON T2.Seriescode = T3.SeriesCode WHERE T3.IndicatorName = 'Inflation, consumer prices (annual %)'	world_development_indicators
SELECT COUNT(T1.Countrycode)  FROM CountryNotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T2.IndicatorName = 'Stocks traded, turnover ratio of domestic shares (%)'	world_development_indicators
SELECT T2.AggregationMethod FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName INNER JOIN Country AS T3 ON T1.CountryCode = T3.CountryCode WHERE T3.ShortName = 'Arab World' AND T1.Value = 133 AND T1.Year = 1960	world_development_indicators
SELECT T1.Value FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName INNER JOIN Country AS T3 ON T1.CountryCode = T3.CountryCode WHERE T2.LongDefinition = 'Adolescent fertility rate is the number of births per 1,000 women ages 15-19.' AND T3.ShortName = 'Arab World' AND T1.Year = 1960	world_development_indicators
SELECT (( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1961 ) - ( SELECT T2.Value FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 )) * 1.0 / ( SELECT SUM(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)' AND T2.Year = 1960 )	world_development_indicators
SELECT CAST(SUM(T2.Value) AS REAL) * 100 / COUNT(T2.Year) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Alpha2Code = '1A' AND T2.IndicatorName = 'Adolescent fertility rate (births per 1,000 women ages 15-19)'	world_development_indicators
SELECT DISTINCT T2.directorid FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating > 4	movielens
SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.u_gender = 'M'	movielens
SELECT T2.genre FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T1.actorid = T3.actorid WHERE T3.actorid = 851	movielens
SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' AND T1.rating < 3	movielens
SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'France' AND T1.genre = 'drama'	movielens
SELECT AVG(T2.occupation) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating < 2	movielens
SELECT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' GROUP BY T1.movieid ORDER BY AVG(T1.rating) DESC LIMIT 10	movielens
SELECT AVG(T2.cast_num) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA'	movielens
SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'other' AND T2.isEnglish = 'F' LIMIT 5	movielens
SELECT COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.a_quality = 5 AND T3.rating = 5	movielens
SELECT AVG(T1.rating) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'france' AND T2.year = 4	movielens
SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T2.runningtime < 2 AND T1.rating = 5	movielens
SELECT T1.userid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T1.userid = T3.userid WHERE T2.country = 'France' AND T2.runningtime = 2 AND T1.rating < 3 AND T3.u_gender = 'M'	movielens
SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN users AS T4 ON T1.userid = T4.userid WHERE T3.a_quality = 0 AND T1.rating > 3 AND T4.u_gender = 'F'	movielens
SELECT userid FROM u2base WHERE rating = 5 GROUP BY userid ORDER BY COUNT(movieid) DESC LIMIT 1	movielens
SELECT T2.actorid, T4.genre FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid INNER JOIN movies2directors AS T4 ON T1.movieid = T4.movieid WHERE T4.directorid = 22397	movielens
SELECT T2.actorid, T1.directorid FROM movies2directors AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.genre = 'Action'	movielens
SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T3.a_gender = 'F' AND T1.year = 4	movielens
SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T3.a_quality = 3 AND T1.country = 'USA' AND T1.isEnglish = 'T'	movielens
SELECT T1.movieid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN directors AS T3 ON T2.directorid = T3.directorid WHERE T1.runningtime = 3 AND T3.avg_revenue = 1	movielens
SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'UK'	movielens
SELECT T1.genre FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T3.age = 18 GROUP BY T1.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1	movielens
SELECT T3.actorid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies2actors AS T3 ON T2.movieid = T3.movieid WHERE T1.occupation = 5 GROUP BY T2.movieid ORDER BY COUNT(T1.userid) DESC LIMIT 1	movielens
SELECT DISTINCT T2.age FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 3	movielens
SELECT T3.country FROM movies2directors AS T1 INNER JOIN directors AS T2 ON T1.directorid = T2.directorid INNER JOIN movies AS T3 ON T1.movieid = T3.movieid WHERE T1.genre = 'Action' GROUP BY T3.country ORDER BY COUNT(T3.country) DESC LIMIT 1	movielens
SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5	movielens
SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T1.genre = 'Adventure' AND T2.isEnglish = 'F' LIMIT 5	movielens
SELECT CAST(SUM(IIF(T2.u_gender = 'F', 1, 0)) AS REAL) * 100 / COUNT(T2.userid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 2	movielens
SELECT SUM(IIF(T2.u_gender = 'F', 1, 0)) - SUM(IIF(T2.u_gender = 'M', 1, 0)) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid INNER JOIN movies2directors AS T3 ON T3.movieid = T1.movieid WHERE T3.genre = 'horror'	movielens
SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 4 AND T1.isEnglish = 'T'	movielens
SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T1.isEnglish = 'F' AND T2.genre = 'Action'	movielens
SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.age < 18 AND T2.u_gender = 'M'	movielens
SELECT T1.movieid FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T2.u_gender = 'F' GROUP BY T1.movieid ORDER BY COUNT(T2.userid) DESC LIMIT 1	movielens
SELECT COUNT(DISTINCT T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'UK' AND T1.rating = 5	movielens
SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 AND T1.rating = 1	movielens
SELECT COUNT(DISTINCT T1.movieid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.rating = 1 AND T1.isEnglish = 'T'	movielens
SELECT COUNT(DISTINCT T2.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.u_gender = 'F' AND T3.country = 'France'	movielens
SELECT COUNT(DISTINCT T2.directorid) FROM movies2directors AS T2 INNER JOIN directors AS T3 ON T2.directorid = T3.directorid WHERE T2.genre = 'Action' AND T3.d_quality = 4	movielens
SELECT T2.genre FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.avg_revenue = 4	movielens
SELECT COUNT(DISTINCT T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T3.isEnglish = 'T' AND T1.a_gender = 'M' AND T1.a_quality = 5	movielens
SELECT T3.country FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.a_gender = 'F' AND T1.a_quality = 0	movielens
SELECT AVG(T2.rating) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN movies2directors AS T3 ON T1.movieid = T3.movieid WHERE T1.country = 'USA' AND T3.genre = 'Action' GROUP BY T1.movieid ORDER BY AVG(T2.rating) DESC LIMIT 1	movielens
SELECT COUNT(*) FROM ( SELECT DISTINCT T2.movieid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.d_quality = 5 GROUP BY T2.movieid HAVING AVG(T3.rating) > 3.5 ) AS T1	movielens
SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.genre = 'Adventure' GROUP BY T1.movieid ORDER BY AVG(T2.rating) DESC LIMIT 1	movielens
SELECT COUNT(T1.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.userid = 2462959 AND T1.u_gender = 'F'	movielens
SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 0 AND T2.rating = ( SELECT MAX(rating) FROM u2base )	movielens
SELECT T1.actorid, T1.a_quality FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid WHERE T2.movieid = 1722327	movielens
SELECT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5 GROUP BY T1.directorid ORDER BY COUNT(T2.movieid) DESC LIMIT 1	movielens
SELECT COUNT(DISTINCT T2.movieid) FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T2.genre = 'drama' AND T1.rating = 3	movielens
SELECT COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.age BETWEEN 25 AND 35	movielens
SELECT T1.movieid FROM u2base AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 1 AND T2.genre = 'Horror'	movielens
SELECT T2.directorid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'France'	movielens
SELECT T2.userid, T2.age FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.movieid = 1695219	movielens
SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' GROUP BY T2.genre ORDER BY COUNT(T1.movieid) DESC LIMIT 1	movielens
SELECT T1.actorid, T2.directorid FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.movieid = 1949144	movielens
SELECT CAST(SUM(IIF(T3.a_quality >= 3, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T1.country = 'UK'	movielens
SELECT CAST(SUM(IIF(T2.avg_revenue > T2.d_quality, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN directors AS T2 ON T1.directorid = T2.directorid WHERE T1.genre = 'Action'	movielens
SELECT T1.actorid FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4	movielens
SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime = 2 AND T1.isEnglish = 'T'	movielens
SELECT T2.actorid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'France' GROUP BY T2.actorid HAVING COUNT(T1.movieid) > 2	movielens
SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.cast_num > 1	movielens
SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.year = 1 AND T2.cast_num = 0	movielens
SELECT COUNT(T1.actorid) FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' OR T2.country = 'UK'	movielens
SELECT COUNT(T1.directorid) FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.avg_revenue = 4 AND (T2.genre = 'Adventure' OR T2.genre = 'Action')	movielens
SELECT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality >= 3 GROUP BY T1.directorid HAVING COUNT(T2.movieid) >= 2	movielens
SELECT COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'USA' AND T2.genre = 'comedy'	movielens
SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.year = 4 AND T1.genre IN ('Action', 'drama')	movielens
SELECT T1.movieid FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.runningtime >= 2 AND T1.genre = 'Horror'	movielens
SELECT CAST(SUM(IIF(T1.rating = 1, 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA'	movielens
SELECT COUNT(DISTINCT T1.movieid) FROM movies2directors AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T2.rating = 1 AND T1.genre = 'comedy'	movielens
SELECT DISTINCT T1.avg_revenue FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5	movielens
SELECT COUNT(movieid) FROM movies WHERE country = 'France' AND movieid IN ( SELECT movieid FROM u2base WHERE rating = ( SELECT MAX(rating) FROM u2base ) )	movielens
SELECT T2.movieid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T1.age = 25 GROUP BY T2.movieid ORDER BY COUNT(T1.userid) DESC LIMIT 1	movielens
SELECT COUNT(DISTINCT T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid INNER JOIN users AS T3 ON T2.userid = T3.userid WHERE T1.country = 'UK' AND T3.age = 35	movielens
SELECT T1.userid, T1.age FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.movieid = '2409051' AND T2.rating = 2	movielens
SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5 AND T2.year = 1	movielens
SELECT DISTINCT T1.movieid FROM u2base AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'France' AND T1.rating = 1	movielens
SELECT COUNT(T2.actorid) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.country IN ('France', 'USA')	movielens
SELECT COUNT(DISTINCT T2.actorid) FROM u2base AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid WHERE T1.rating = 5	movielens
SELECT T2.movieid FROM u2base AS T2 INNER JOIN movies2directors AS T3 ON T2.movieid = T3.movieid WHERE T3.genre = 'Crime' GROUP BY T2.movieid ORDER BY AVG(T2.rating) LIMIT 1	movielens
SELECT CAST(SUM(IIF(T3.a_gender = 'M', 1, 0)) AS REAL) / SUM(IIF(T3.a_gender = 'F', 1, 0)) FROM movies AS T1 INNER JOIN movies2actors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T2.actorid = T3.actorid WHERE T1.country = 'UK'	movielens
SELECT COUNT(T1.userid) FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid WHERE T2.rating = 3 AND T2.movieid = '1711133' AND T1.age = 35 AND T1.u_gender = 'F'	movielens
SELECT COUNT(T2.userid) FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'UK' AND T1.runningtime = 2 AND T2.rating = 1 AND T1.year = 2	movielens
SELECT DISTINCT T1.directorid FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 3 AND T1.avg_revenue = 2 AND T2.genre != 'Comedy'	movielens
SELECT CAST(SUM(IIF(T2.cast_num = 2 AND T1.a_quality = 2, 1, 0)) AS REAL) * 100 / COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid WHERE T2.movieid = 1672580 AND T1.a_gender = 'F'	movielens
SELECT CAST(SUM(IIF(a_gender = 'M', 1, 0)) AS REAL) / SUM(IIF(a_gender = 'F', 1, 0)) FROM actors WHERE a_quality = 0	movielens
SELECT actorid FROM movies2actors GROUP BY actorid ORDER BY COUNT(movieid) DESC LIMIT 1	movielens
SELECT genre FROM movies2directors GROUP BY genre ORDER BY COUNT(movieid) DESC LIMIT 1	movielens
SELECT T2.genre FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 0 GROUP BY T2.genre ORDER BY COUNT(T2.movieid) DESC LIMIT 1	movielens
SELECT T2.movieid FROM movies AS T1 INNER JOIN u2base AS T2 ON T1.movieid = T2.movieid WHERE T1.isEnglish = 'F' AND T1.country = 'USA' ORDER BY T2.rating LIMIT 1	movielens
SELECT CAST(SUM(CASE WHEN T1.d_quality = 4 AND T1.avg_revenue = 4 THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.movieid) FROM directors AS T1 INNER JOIN movies2directors AS T2 ON T1.directorid = T2.directorid	movielens
SELECT T2.movieid FROM users AS T1 INNER JOIN u2base AS T2 ON T1.userid = T2.userid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T1.u_gender = 'F' AND T1.occupation = 3 AND T2.rating = 5	movielens
SELECT SUM(IIF(T1.a_gender = 'F', 1, 0)) , T3.country, T3.runningtime FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN movies AS T3 ON T2.movieid = T3.movieid WHERE T2.movieid = 2312852 GROUP BY T3.country, T3.runningtime	movielens
SELECT COUNT(T1.movieid) FROM movies2directors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid INNER JOIN directors AS T3 ON T1.directorid = T3.directorid WHERE T1.genre = 'horror' AND T3.d_quality = 0	movielens
SELECT T2.genre FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.runningtime <= 2 AND T1.isEnglish = 'T' AND T1.country = 'other'	movielens
SELECT DISTINCT T1.movieid FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN u2base AS T3 ON T1.movieid = T3.movieid INNER JOIN users AS T4 ON T3.userid = T4.userid WHERE T1.country = 'UK' AND T2.genre = 'Comedy' AND T1.runningtime = 3 AND T3.rating = 5 AND T4.age BETWEEN 45 AND 50 AND T1.isEnglish = 'T'	movielens
SELECT CAST(SUM(IIF(T1.isEnglish = 'T', 1, 0)) - SUM(IIF(T1.isEnglish = 'F', 1, 0)) AS REAL) * 100 / COUNT(T1.movieid) FROM movies AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid WHERE T1.country = 'other' AND T1.year = 3	movielens
SELECT SUM(IIF(a_gender = 'M', 1, 0)) , SUM(IIF(a_gender = 'F', 1, 0)) , CAST(SUM(IIF(a_quality = 5, 1, 0)) AS REAL) * 100 / COUNT(*) , CAST(SUM(IIF(a_quality = 0, 1, 0)) AS REAL) * 100 / COUNT(*), ( SELECT directorid FROM movies2directors WHERE movieid = 1684910 ) , ( SELECT genre FROM movies2directors WHERE movieid = 1684910 ) FROM actors WHERE actorid IN ( SELECT actorid FROM movies2actors WHERE movieid = 1684910 )	movielens
SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-112326'	superstore
SELECT MAX(strftime('%J', `Ship Date`) - strftime('%J', `Order Date`)) AS longestTimeDays FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby'	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T2.`Ship Mode` = 'Standard Class'	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby'	superstore
SELECT DISTINCT T2.`Order ID` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby' GROUP BY T2.`Product ID` HAVING COUNT(T2.`Product ID`) > 3	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.Category = 'Furniture' AND T1.`Customer Name` = 'Aimee Bixby'	superstore
SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND STRFTIME('%Y', T2.`Ship Date`) = '2016'	superstore
SELECT SUM(T1.Quantity) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Telescoping Adjustable Floor Lamp'	superstore
SELECT DISTINCT T1.`Customer Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.`Product Name` = 'Telescoping Adjustable Floor Lamp'	superstore
SELECT COUNT(DISTINCT T1.`Customer Name`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T3.`Product Name` = 'Telescoping Adjustable Floor Lamp' AND T1.Segment = 'Consumer'	superstore
SELECT SUM(T2.Quantity) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952'	superstore
SELECT DISTINCT T2.Sales / (1 - T2.Discount) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'	superstore
SELECT DISTINCT (T2.Sales / (1 - T2.discount)) * T2.Quantity - Profit FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T3.`Product Name` = 'Xerox 1952' AND T2.`Order Date` = '2014-09-10'	superstore
SELECT COUNT(DISTINCT T1.`Product ID`) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Sub-Category` = 'Art' AND T1.Region = 'East' AND STRFTIME('%Y', T1.`Order Date`) = '2013'	superstore
SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` GROUP BY T1.`Order ID`, T2.`Customer Name` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1	superstore
SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY (T1.Sales / (1 - T1.Discount)) DESC LIMIT 1	superstore
SELECT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Darren Powers' ORDER BY T2.`Order Date` DESC LIMIT 1	superstore
SELECT SUM(T1.Quantity) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Advantus Plastic Paper Clips'	superstore
SELECT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Logitech G600 MMO Gaming Mouse' GROUP BY T1.`Order ID` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1	superstore
SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Alejandro Grove'	superstore
SELECT COUNT(DISTINCT T1.`Customer ID`) FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Cardinal EasyOpen D-Ring Binders' AND T2.City = 'Chicago' AND T1.Quantity > 10	superstore
SELECT DISTINCT T2.`Product Name` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.Profit > 1000	superstore
SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'First Class' AND T2.Region = 'East' LIMIT 10	superstore
SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Becky Martin' AND T3.Region = 'Central'	superstore
SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' AND T1.`Ship Mode` = 'Second Class' LIMIT 5	superstore
SELECT SUM(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Patrick Gardner' AND T1.Region = 'Central'	superstore
SELECT T2.`Product Name` FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2013-03-04' AND T2.Region = 'South' AND T1.`Order Date` = '2013-03-04'	superstore
SELECT SUM(T1.Sales) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Avery Hi-Liter EverBold Pen Style Fluorescent Highlighters, 4/Pack' AND T2.Region = 'Central'	superstore
SELECT T3.`Product Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Jonathan Doherty' AND T2.Region = 'East' ORDER BY T1.Quantity DESC LIMIT 1	superstore
SELECT SUM(T1.Quantity), T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2015-03-25' AND T2.Region = 'East'	superstore
SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Global High-Back Leather Tilter, Burgundy' AND T1.`Order Date` = '2013-10-13' AND T1.Region = 'East'	superstore
SELECT DISTINCT T3.Category FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Katherine Murray' AND T1.`Order Date` = '2018-11-04' AND T2.Region = 'South'	superstore
SELECT CAST(SUM(CASE  WHEN T2.Category = 'Furniture' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(T1.Quantity) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'West' AND T1.`Ship Mode` = 'Standard Class'	superstore
SELECT T2.`Ship Date` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Ann Chong' AND T1.Region = 'Central'	superstore
SELECT DISTINCT T2.Segment FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' AND T1.`Order ID` = 'CA-2011-108189'	superstore
SELECT SUM(T1.Sales) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Hon Valutask Swivel Chairs' AND T1.Region = 'West'	superstore
SELECT T1.`Order ID` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'South' AND T2.`Customer Name` = 'Frank Olsen'	superstore
SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order Date` = '2018-04-26' AND T1.`Ship Date` = '2018-04-27' AND T2.Region = 'Central'	superstore
SELECT T5.City, T5.State FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN people AS T5 ON T5.`Customer ID` = T4.`Customer ID` ORDER BY T2.Sales DESC LIMIT 1	superstore
SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' ORDER BY T1.Profit DESC LIMIT 1	superstore
SELECT T1.Quantity FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN people AS T5 ON T5.`Customer ID` = T4.`Customer ID` WHERE T5.City = 'Chicago' AND T5.State = 'Illinois' ORDER BY T1.Quantity DESC LIMIT 1	superstore
SELECT T1.`Order Date`, T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-137274' AND T2.Region = 'Central'	superstore
SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T1.Region = 'South' AND T3.`Product Name` = 'Xerox 23'	superstore
SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Office Supplies' AND T2.Region = 'Central' ORDER BY T1.Sales DESC LIMIT 1	superstore
SELECT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'West' ORDER BY T1.Discount DESC LIMIT 1	superstore
SELECT DISTINCT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'East' AND T1.Profit > ( SELECT AVG(Profit) * 0.98 FROM east_superstore )	superstore
SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Region = 'East' AND T1.Sales / (1 - T1.Discount) * T1.Quantity - T1.Profit > 80000	superstore
SELECT COUNT(DISTINCT T1.`Order ID`) FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.`Customer Name` = 'Maxwell Schwartz' AND STRFTIME('%Y', T1.`Order Date`) = '2015'	superstore
SELECT DISTINCT T2.`Customer Name` FROM central_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Bush Mission Pointe Library' AND T3.Region = 'Central'	superstore
SELECT SUM(T1.Profit) + SUM(T2.Profit) + SUM(T3.Profit) + SUM(T4.Profit) AS totalProfit FROM west_superstore AS T1 INNER JOIN east_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN central_superstore AS T3 ON T3.`Customer ID` = T2.`Customer ID` INNER JOIN south_superstore AS T4 ON T4.`Customer ID` = T3.`Customer ID` INNER JOIN product AS T5 ON T5.`Product ID` = T4.`Product ID` WHERE T5.`Product Name` = 'Cisco SPA301'	superstore
SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Anne McFarland'	superstore
SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.City = 'Coachella'	superstore
SELECT east, west FROM ( SELECT COUNT(`Order ID`) AS east , ( SELECT COUNT(`Order ID`) FROM west_superstore WHERE `Order Date` LIKE '2015%' ) AS west FROM east_superstore WHERE `Order Date` LIKE '2015%' )	superstore
SELECT DISTINCT T3.`Product Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Matt Abelman' AND STRFTIME('%Y', T1.`Order Date`) = '2013'	superstore
SELECT SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) AS cost FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T1.`Product ID` = T3.`Product ID` AND T1.Region = T3.Region WHERE T1.Region = 'East' AND T2.`Customer Name` = 'Brad Thomas' AND strftime('%Y', T1.`Order Date`) = '2016'	superstore
SELECT DISTINCT T2.`Customer Name`, T2.City, T2.Country FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Plantronics Single Ear Headset'	superstore
SELECT DISTINCT T2.`Ship Date`, T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Gene Hale'	superstore
SELECT COUNT(T1.`Order ID`) FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'First Class' AND T2.Category = 'Furniture'	superstore
SELECT COUNT(*) FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.Category = 'Office Supplies' AND T2.`Customer Name` = 'Cindy Stewart'	superstore
SELECT T2.Category FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY T1.Profit DESC LIMIT 1	superstore
SELECT T3.`Product Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Cindy Stewart'	superstore
SELECT T2.`Product Name` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Same Day' AND T1.`Ship Date` LIKE '2013%'	superstore
SELECT DISTINCT T3.Category FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` LEFT JOIN central_superstore AS T4 ON T3.`Product ID` = T4.`Product ID` WHERE T2.`Customer Name` = 'Sam Craven'	superstore
SELECT SUM(T1.Quantity) FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Cindy Stewart' AND T3.`Product Name` = 'Lexmark X 9575 Professional All-in-One Color Printer'	superstore
SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Standard Class' AND T1.Quantity >= 10	superstore
SELECT T2.Category FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` ORDER BY T1.Sales LIMIT 1	superstore
SELECT SUM(T1.Profit) FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` GROUP BY T2.`Product Name` = 'Memorix Froggy Flash Drive 8 GB'	superstore
SELECT SUM(T1.Sales) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE STRFTIME('%Y', T1.`Order Date`) = '2016' AND T2.Category = 'Furniture'	superstore
SELECT AVG(T1.Sales) FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Sharp AL-1530CS Digital Copier'	superstore
SELECT CAST(SUM(CASE  WHEN T3.Category = 'Office Supplies' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Category) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID`	superstore
SELECT CAST(SUM(CASE  WHEN State = 'Texas' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE  WHEN State = 'Indiana' THEN 1 ELSE 0 END) FROM people	superstore
SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Sub-Category` = 'Art' GROUP BY T2.`Product Name` ORDER BY COUNT(T2.`Product ID`) DESC LIMIT 1	superstore
SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE STRFTIME('%Y', T1.`Order Date`) = '2015' GROUP BY T2.`Customer Name` HAVING COUNT(T2.`Customer Name`) > 3	superstore
SELECT MAX(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Anna Chung'	superstore
SELECT COUNT(T2.`Customer ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Corey Roper' AND STRFTIME('%Y', T2.`Ship Date`) = '2015'	superstore
SELECT SUM(T1.Sales) - SUM(T2.Sales) AS difference FROM east_superstore AS T1 INNER JOIN west_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID`	superstore
SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'Central' AND T1.Profit < 0	superstore
SELECT DISTINCT T2.`Product Name`, T1.`Ship Mode` FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'West' ORDER BY T1.`Ship Date` - T1.`Order Date` LIMIT 1	superstore
SELECT COUNT(DISTINCT T1.`Order ID`) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'O''Sullivan Plantations 2-Door Library in Landvery Oak' AND T2.Region = 'Central' AND T1.`Ship Mode` = 'First Class'	superstore
SELECT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Segment = 'Corporate' AND T2.State = 'Rhode Island' AND T2.Region = 'East' AND STRFTIME('%Y', T1.`Order Date`) = '2016' GROUP BY T2.`Customer Name` ORDER BY COUNT(T2.`Customer Name`) DESC LIMIT 1	superstore
SELECT COUNT(DISTINCT T1.`Order ID`) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` INNER JOIN people AS T3 ON T3.`Customer ID` = T1.`Customer ID` WHERE T1.Sales > 5000 AND T3.State = 'California' AND T2.Region = 'West'	superstore
SELECT T2.Segment FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T1.Region = 'East' ORDER BY (T1.Sales / (1 - T1.Discount)) DESC LIMIT 1	superstore
SELECT DISTINCT strftime('%J', `Ship Date`) - strftime('%J', `Order Date`) AS duration FROM central_superstore WHERE `Order ID` = 'CA-2011-134103'	superstore
SELECT COUNT(DISTINCT `Order ID`) FROM central_superstore WHERE Quantity > 5 AND `Ship Mode` = 'First Class'	superstore
SELECT `Order ID` FROM central_superstore WHERE Profit < 0 LIMIT 3	superstore
SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Phillina Ober'	superstore
SELECT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T3.`Product Name` = 'Hon Multipurpose Stacking Arm Chairs' GROUP BY T2.`Customer Name` ORDER BY COUNT(T2.`Customer Name`) DESC LIMIT 1	superstore
SELECT DISTINCT T1.Profit FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'O''Sullivan Living Dimensions 2-Shelf Bookcases'	superstore
SELECT SUM(T1.Quantity) FROM west_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Hon Pagoda Stacking Chairs'	superstore
SELECT COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aaron Bergman' AND T2.`Ship Mode` = 'Standard Class'	superstore
SELECT T1.Sales / (1 - T1.Discount) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Blackstonian Pencils'	superstore
SELECT DISTINCT T3.`Product Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Aimee Bixby'	superstore
SELECT DISTINCT T1.Profit FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Sauder Camden County Barrister Bookcase, Planked Cherry Finish'	superstore
SELECT COUNT(T2.Category) FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Standard Class'	superstore
SELECT T1.`Order ID` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.City = 'Houston' AND T2.State = 'Texas' ORDER BY T1.Profit DESC LIMIT 1	superstore
SELECT COUNT(*) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Furniture'	superstore
SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE strftime('%Y-%m', T1.`Ship Date`) = '2013-03'	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.State = 'Texas'	superstore
SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Alan Barnes' AND STRFTIME('%Y', T2.`Order Date`) = '2015'	superstore
SELECT DISTINCT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'CA-2011-141817'	superstore
SELECT CAST(SUM(CASE  WHEN T2.Discount = 0.2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.State = 'Texas'	superstore
SELECT CAST(SUM(CASE  WHEN T1.`Ship Mode` = 'First Class' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Furniture' AND STRFTIME('%Y', T1.`Ship Date`) = '2013'	superstore
SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Order Date` = '2013-08-12' AND T1.Discount = 0.2 AND T1.Region = 'West'	superstore
SELECT DISTINCT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Security-Tint Envelopes' AND T1.`Order Date` = '2013-06-03'	superstore
SELECT DISTINCT T3.`Product Name` FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.`Customer Name` = 'Bill Shonely' AND T2.Region = 'Central'	superstore
SELECT DISTINCT T2.`Customer Name` FROM west_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.Quantity = 8 AND T1.Region = 'West'	superstore
SELECT SUM(T2.Profit) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T2.`Product ID` WHERE T1.City = 'Houston' AND T1.State = 'Texas' AND T2.Region = 'Central'	superstore
SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Ship Date` = '2013-03-05'	superstore
SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'Central' AND STRFTIME('%Y', T1.`Order Date`) = '2016' ORDER BY T1.Profit ASC LIMIT 1	superstore
SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Order ID` = 'CA-2011-118976' AND T2.Region = 'East'	superstore
SELECT T2.`Product Name` FROM south_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'South' ORDER BY T1.Sales DESC LIMIT 1	superstore
SELECT T1.Sales, T1.Profit, T2.`Sub-Category` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Order ID` = 'US-2011-126571' AND T2.Region = 'East'	superstore
SELECT T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'East' ORDER BY T1.Quantity DESC LIMIT 1	superstore
SELECT DISTINCT T2.`Customer Name` FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'South' AND T1.`Ship Mode` = 'Standard Class' AND 100 * T1.Sales / ( SELECT AVG(Sales) FROM south_superstore ) > 88	superstore
SELECT CAST(SUM(CASE  WHEN T2.Discount = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T2.Region = 'Central' AND T1.State = 'Indiana'	superstore
SELECT CAST(SUM(IIF(race = 'W', 1, 0)) AS REAL) * 100 / COUNT(case_number) FROM officers WHERE gender = 'M'	shooting
SELECT CAST(SUM(IIF(officer_count > 3, 1, 0)) AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE STRFTIME('%Y', date) BETWEEN '2010' AND '2015'	shooting
SELECT STRFTIME('%Y', date) FROM incidents WHERE subject_weapon = 'Handgun' GROUP BY STRFTIME('%Y', date) ORDER BY COUNT(case_number) DESC LIMIT 1	shooting
SELECT CAST(SUM(subject_statuses = 'Injured') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE grand_jury_disposition = 'No Bill'	shooting
SELECT SUM(IIF(STRFTIME('%Y', date) = '2007', 1, 0)) - SUM(IIF(STRFTIME('%Y', date) = '2008', 1, 0)) FROM incidents WHERE subject_weapon = 'Vehicle'	shooting
SELECT CAST(SUM(subject_statuses = 'Shoot and Miss') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE subject_weapon = 'Handgun'	shooting
SELECT T2.last_name, T2.gender FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.grand_jury_disposition = 'No Bill'	shooting
SELECT T1.case_number, T1.subject_statuses, T1.subject_weapon FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'	shooting
SELECT T1.case_number, T1.location, T1.subject_statuses FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'M'	shooting
SELECT T1.case_number, T1.grand_jury_disposition FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T2.first_name = 'George' AND T2.last_name = 'Evenden'	shooting
SELECT T2.last_name, T1.subject_statuses FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '134472-2015'	shooting
SELECT T2.last_name, T2.gender, T2.race, T2.case_number FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Deceased'	shooting
SELECT CAST(SUM(T1.subject_weapon = 'Vehicle') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN subjects T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F'	shooting
SELECT CAST(SUM(T1.subject_weapon = 'Knife') AS REAL) * 100 / SUM(T1.subject_weapon = 'Handgun') FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Injured'	shooting
SELECT case_number FROM incidents WHERE STRFTIME('%Y', date) > '2011' AND subject_statuses = 'Deceased'	shooting
SELECT CAST(SUM(race = 'B') AS REAL) * 100 / COUNT(case_number) FROM officers WHERE gender = 'M'	shooting
SELECT COUNT(T1.case_number) FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_weapon = 'Vehicle' AND T2.gender = 'F'	shooting
SELECT COUNT(T1.case_number) FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F' AND T1.subject_statuses = 'Deceased'	shooting
SELECT COUNT(T1.case_number) FROM officers AS T1 INNER JOIN incidents AS T2 ON T2.case_number = T1.case_number WHERE T1.race = 'B' AND T2.date BETWEEN '2010-01-01' AND '2015-12-31'	shooting
SELECT COUNT(case_number) FROM incidents WHERE date BETWEEN '2015-06-01' AND '2015-06-30'	shooting
SELECT COUNT(location) FROM incidents WHERE subject_weapon = 'Handgun' AND subject_statuses = 'Injured' AND date BETWEEN '2006-01-01' AND '2013-12-31'	shooting
SELECT subject_weapon FROM incidents WHERE subject_statuses = 'Deceased' GROUP BY subject_weapon ORDER BY COUNT(case_number) DESC LIMIT 1	shooting
SELECT CAST(SUM(gender = 'M') AS REAL) / SUM(gender = 'F') FROM officers WHERE race = 'W'	shooting
SELECT SUM(race = 'B') - SUM(race = 'W') FROM subjects WHERE gender = 'F'	shooting
SELECT CAST(SUM(subject_statuses = 'Deceased') AS REAL) * 100 / COUNT(case_number) FROM incidents WHERE subject_weapon = 'Rifle'	shooting
SELECT T1.subject_weapon, T2.race, T2.gender FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.case_number = '031347-2015'	shooting
SELECT T1.case_number, T3.race, T3.gender FROM incidents AS T1 INNER JOIN officers AS T2 ON T1.case_number = T2.case_number INNER JOIN subjects AS T3 ON T1.case_number = T3.case_number WHERE T2.first_name = 'Fredirick' AND T2.last_name = 'Ruben'	shooting
SELECT CAST(SUM(T2.gender = 'M') AS REAL) * 100 / COUNT(T1.case_number) FROM incidents T1 INNER JOIN officers T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Injured'	shooting
SELECT T1.Chromosome FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'plasma membrane'	genes
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'nucleus' AND T1.Essential = 'Non-Essential'	genes
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID WHERE T2.Localization = 'vacuole' AND T1.Phenotype = 'Nucleic acid metabolism defects'	genes
SELECT T2.Localization FROM Genes AS T1 INNER JOIN Classification AS T2 ON T1.GeneID = T2.GeneID ORDER BY T1.Chromosome DESC LIMIT 1	genes
SELECT T2.Expression_Corr FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T1.Localization = 'nucleus' AND T3.Localization = 'nucleus' ORDER BY T2.Expression_Corr DESC LIMIT 1	genes
SELECT T1.Function FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 ORDER BY T2.Expression_Corr ASC LIMIT 1	genes
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 AND T1.Class = 'Motorproteins'	genes
SELECT T2.Expression_Corr FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Chromosome = 6 OR T1.Chromosome = 8 ORDER BY T2.Expression_Corr DESC LIMIT 1	genes
SELECT T2.GeneID1, T2.GeneID2 FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization = 'cytoplasm' AND T1.Chromosome = 7	genes
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization != 'cytoplasm' AND T1.Function = 'TRANSCRIPTION' AND T1.Essential = 'NON-Essential'	genes
SELECT COUNT(T2.GeneID2) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr > 0 AND T1.Essential = 'Non-Essential'	genes
SELECT CAST(SUM(IIF(T1.Chromosome > 10 AND T3.Chromosome > 10, 1, 0)) AS REAL) * 100 / COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 INNER JOIN Genes AS T3 ON T3.GeneID = T2.GeneID2 WHERE T2.Expression_Corr > 0	genes
SELECT AVG(T2.Expression_Corr) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Class = 'ATPases'	genes
SELECT DISTINCT GeneID FROM Genes WHERE Localization = 'cytoplasm' AND Function = 'METABOLISM'	genes
SELECT COUNT(GeneID) FROM Classification WHERE Localization IN ('plasma', 'nucleus')	genes
SELECT Expression_Corr FROM Interactions WHERE Type = 'Physical' UNION ALL SELECT CAST(SUM(Expression_Corr < 0) AS REAL) * 100 / COUNT(*) FROM Interactions WHERE Type = 'Physical'	genes
SELECT SUM(Localization = 'cytoskeleton' AND Phenotype = 'Conditional phenotypes') , CAST(SUM(Localization = 'cytoskeleton') AS REAL) * 100 / COUNT(GeneID) FROM Genes;	genes
SELECT T2.Type FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Function = 'TRANSCRIPTION' AND T1.Essential = 'Non-Essential'	genes
SELECT T1.GeneID FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr > 0 AND T1.Localization = 'nucleus'	genes
SELECT T2.GeneID1 FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Localization = 'nucleus' AND T1.Class = 'Transcription factors' AND T1.Essential = 'Essential' AND T2.Expression_Corr != 0	genes
SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Type != 'Physical' AND T1.Phenotype = 'Cell cycle defects' AND T1.Class != 'Motorproteins' AND T1.Essential = 'Non-Essential'	genes
SELECT CAST(SUM(IIF(T2.Expression_Corr > 0, 1, 0)) AS REAL) * 100 / COUNT(T2.GeneID1) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T1.Phenotype = 'Nucleic acid metabolism defects' AND T1.Motif = 'PS00107'	genes
SELECT CAST(COUNT(T1.GeneID) AS REAL) * 100 / ( SELECT COUNT(T1.GeneID) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 ) FROM Genes AS T1 INNER JOIN Interactions AS T2 ON T1.GeneID = T2.GeneID1 WHERE T2.Expression_Corr < 0 AND T1.Essential = 'Non-Essential'	genes
SELECT DISTINCT Translated_Review FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Last Updated` BETWEEN 'January 1, 2018' AND 'January 31, 2018' ) AND Sentiment = 'Positive'	app_store
SELECT COUNT(T2.Sentiment_Polarity), T1."Last Updated" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '7 Minute Workout' AND T2.Sentiment_Polarity BETWEEN 0 AND 0.5	app_store
SELECT COUNT(T1.Rating), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'HTC Weather' AND T2.Sentiment = 'Neutral'	app_store
SELECT DISTINCT T1.App, T1.Category FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = '-1.0'	app_store
SELECT AVG(T2.Sentiment_Polarity), T1."Content Rating" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Cooking Fever'	app_store
SELECT MIN(T2.Sentiment_Polarity), T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Basketball Stars'	app_store
SELECT COUNT(T2.Sentiment_Subjectivity), T1."Current Ver" FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Akinator' AND T2.Sentiment_Subjectivity < 0.5	app_store
SELECT COUNT(App) FROM playstore WHERE Rating = 5	app_store
SELECT App FROM playstore WHERE Price = 0 ORDER BY CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 5	app_store
SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10	app_store
SELECT COUNT(T2.App), T1.Category FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = '10 Best Foods for You' AND T2.Sentiment = 'Neutral'	app_store
SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity > 0	app_store
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9	app_store
SELECT DISTINCT Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE `Android Ver` = '8.0 and up' )	app_store
SELECT SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres > 1	app_store
SELECT DISTINCT App, Sentiment FROM user_reviews WHERE App IN ( SELECT App FROM playstore WHERE CAST(SUBSTR('Last Updated', -4, 4) AS INTEGER) < 2015 )	app_store
SELECT SUM(T1.Installs), T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Adults only 18+'	app_store
SELECT T1.App, T2.Sentiment_Polarity FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App ORDER BY T1.Price * CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER) DESC LIMIT 1	app_store
SELECT AVG(T1.Rating) , COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'COMICS'	app_store
SELECT Rating FROM playstore WHERE APP = 'Draw A Stickman'	app_store
SELECT COUNT(App) FROM user_reviews WHERE App = 'Brit + Co' AND Translated_Review IS NOT NULL	app_store
SELECT DISTINCT App FROM playstore WHERE Genres = 'Shopping' GROUP BY App ORDER BY COUNT(App) DESC LIMIT 5	app_store
SELECT COUNT(App) FROM user_reviews WHERE App = 'Dino War: Rise of Beasts' AND Sentiment = 'Neutral'	app_store
SELECT DISTINCT App FROM playstore WHERE Installs = '5,000+'	app_store
SELECT Translated_Review FROM user_reviews WHERE App = 'Dog Run - Pet Dog Simulator' AND Sentiment = 'Negative'	app_store
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Type = 'Free' AND T2.Sentiment = 'Negative' GROUP BY T1.App ORDER BY COUNT(T2.Sentiment) DESC LIMIT 1	app_store
SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '100,000,000+' AND T2.Sentiment = 'Negative'	app_store
SELECT DISTINCT T1.`Content Rating` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review LIKE '%gr8%'	app_store
SELECT SUM(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Price = ( SELECT MAX(Price) FROM playstore )	app_store
SELECT T1.Rating, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Garden Coloring Book'	app_store
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Photography' GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Subjectivity) DESC LIMIT 1	app_store
SELECT T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Mature 17+' ORDER BY T1.Rating LIMIT 1	app_store
SELECT T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App GROUP BY T1.App ORDER BY SUM(T2.Sentiment_Polarity) DESC LIMIT 1	app_store
SELECT COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Weather' AND T2.Sentiment = 'Neutral'	app_store
SELECT T1.App FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Installs = '1,000,000+' AND T2.Translated_Review = 'nan' GROUP BY T1.App ORDER BY COUNT(T2.Translated_Review) DESC LIMIT 1	app_store
SELECT T1.Rating, SUM(T2.Sentiment_Subjectivity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Onefootball - Soccer Scores'	app_store
SELECT CAST(COUNT(CASE WHEN T1.`Content Rating` = 'Teen' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Translated_Review = 'nan'	app_store
SELECT DISTINCT App FROM playstore WHERE Rating = 5	app_store
SELECT DISTINCT App FROM playstore WHERE Reviews > 75000000 AND `Content Rating` = 'Teen'	app_store
SELECT Genres FROM playstore WHERE Installs = '1,000,000,000+' GROUP BY Genres	app_store
SELECT AVG(Price) FROM playstore WHERE Genres = 'Dating'	app_store
SELECT AVG(CAST(REPLACE(REPLACE(Installs, ',', ''), '+', '') AS INTEGER)) FROM playstore WHERE Category = 'ENTERTAINMENT' AND Size < '1.0M'	app_store
SELECT AVG(Reviews) FROM playstore WHERE Rating = 5	app_store
SELECT Genres FROM playstore WHERE App IN ( SELECT App FROM user_reviews WHERE Sentiment = 'Positive' AND Sentiment_Polarity > 0.5 ORDER BY Sentiment_Polarity DESC LIMIT 3 )	app_store
SELECT CAST(COUNT(CASE WHEN ( SELECT COUNT(CASE WHEN Sentiment = 'Positive' THEN 1 ELSE NULL END) - COUNT(CASE WHEN Sentiment = 'Negative' THEN 1 ELSE NULL END) FROM user_reviews GROUP BY App ) > 0 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 4.7	app_store
SELECT T1.App, AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment != 'Negative' GROUP BY T1.App	app_store
SELECT CAST((( SELECT COUNT(*) Po FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1."Last Updated", -4, 4) > '2015' AND T2.Sentiment = 'Positive' ) - ( SELECT COUNT(*) Ne FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1."Last Updated", -4, 4) > '2015' AND T2.Sentiment = 'Negative' )) AS REAL) * 100 / ( SELECT COUNT(*) NUM FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE SUBSTR(T1."Last Updated", -4, 4) > '2015' )	app_store
SELECT CAST(SUM(CASE WHEN SUBSTR('Last Updated', -4) > '2018' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(App) PER FROM playstore WHERE Type = 'Free' AND Rating >= 4.5	app_store
SELECT DISTINCT Genres FROM playstore WHERE App = 'Honkai Impact 3rd'	app_store
SELECT DISTINCT Rating FROM playstore WHERE App = 'Learn C++'	app_store
SELECT AVG(Price) FROM playstore WHERE 'Content Rating' = 'Everyone 10+' AND Genres = 'Arcade'	app_store
SELECT T1.Size, COUNT(T1.App) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Browser 4G' AND T2.Sentiment_Polarity >= 0.5	app_store
SELECT DISTINCT T1.App, T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment_Polarity = 0.3	app_store
SELECT AVG(T2.Sentiment_Polarity), T1.Rating FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Golf GPS Rangefinder: Golf Pad'	app_store
SELECT T1.App, COUNT(T1.App) COUNTNUMBER FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment = 'Negative' GROUP BY T1.App ORDER BY T1.Rating LIMIT 5	app_store
SELECT CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Sentiment = 'Negative' THEN 1 ELSE 0 END), T1.`Current Ver` FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Fate/Grand Order (English)' AND T1.`Current Ver` = '1.18.0'	app_store
SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security'	app_store
SELECT MAX(T2.Sentiment_Polarity), T1.Genres FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Honkai Impact 3rd' AND T2.Sentiment_Polarity > 0.5 GROUP BY T1.Genres	app_store
SELECT T1.Rating, COUNT(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Dragon Ball Legends' AND CAST(Sentiment_Polarity AS INTEGER) < -0.5	app_store
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Category = 'EDUCATION' GROUP BY T1.App, T2.Translated_Review ORDER BY T1.Rating ASC LIMIT 1	app_store
SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Type = 'Free' AND T1.Category = 'SPORTS'	app_store
SELECT COUNT(T1.App), AVG(T2.Sentiment_Polarity) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1."Content Rating" = 'Teen' AND T1.Genres = 'Role Playing'	app_store
SELECT AVG(T1.Rating), CAST(COUNT(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.Sentiment) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Genres = 'Racing'	app_store
SELECT Region FROM `Sales Team` GROUP BY Region ORDER BY COUNT(DISTINCT `Sales Team`) DESC LIMIT 1	regional_sales
SELECT T FROM ( SELECT IIF(`Customer Names` LIKE '%Group%', `Customer Names`, NULL) AS T FROM Customers ) WHERE T IS NOT NULL	regional_sales
SELECT AVG(`Median Income`) FROM `Store Locations` WHERE Type = 'City'	regional_sales
SELECT T2.`Sales Team`, T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderNumber = 'SO - 000137'	regional_sales
SELECT DISTINCT T1.ProductID, T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T3.`Sales Team` = 'Douglas Tucker'	regional_sales
SELECT DISTINCT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T3.`Product Name` = 'Cocktail Glasses' AND SUBSTR(T2.OrderDate, -2) = '20' AND T2.`Discount Applied` = ( SELECT T2.`Discount Applied` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T3.`Product Name` = 'Cocktail Glasses' AND T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Discount Applied` DESC LIMIT 1 )	regional_sales
SELECT DISTINCT T1.OrderNumber, T2.`City Name` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.`Sales Channel` = 'In-Store'	regional_sales
SELECT T2.OrderNumber, T1.`Customer Names`, T2.OrderDate FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID ORDER BY T2.`Unit Cost` DESC LIMIT 1	regional_sales
SELECT DISTINCT T FROM ( SELECT CASE  WHEN T1.OrderDate LIKE '%/%/18' AND T2.`Customer Names` = 'Rochester Ltd' THEN T1.OrderNumber ELSE NULL END AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT DISTINCT T1.`Product Name`, T3.`Sales Team` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T2.WarehouseCode = 'WARE-NMK1003'	regional_sales
SELECT T FROM ( SELECT CASE  WHEN T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` ELSE NULL END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT AVG(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', ''))  FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Bakeware'	regional_sales
SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderDate LIKE '%/%/20' GROUP BY T2.`Sales Team` ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 1	regional_sales
SELECT T1.OrderNumber , REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')  FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'Joshua Bennett'	regional_sales
SELECT SUM(CASE WHEN T2.`Product Name` = 'Home Fragrances' THEN 1 ELSE 0 END) * 100 / COUNT(T1.OrderNumber)  FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.ShipDate LIKE '7/%/18'	regional_sales
SELECT DISTINCT CustomerID, `Customer Names` FROM Customers WHERE `Customer Names` LIKE 'W%' ORDER BY `Customer Names` DESC	regional_sales
SELECT ProductID, T FROM ( SELECT ProductID , CASE  WHEN `Product Name` LIKE '%Outdoor%' THEN `Product Name` ELSE NULL END AS T FROM Products ) WHERE T IS NOT NULL ORDER BY T DESC	regional_sales
SELECT COUNT(DISTINCT T) FROM ( SELECT CASE  WHEN `Sales Channel` = 'In-Store' AND WarehouseCode = 'WARE-NMK1003' AND `Discount Applied` = '0.4' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT `City Name`, `Median Income` FROM `Store Locations` WHERE State = 'Florida' ORDER BY Population DESC LIMIT 1	regional_sales
SELECT DISTINCT T2.StoreID, T2.`City Name`, T1.Region FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.County = 'Allen County'	regional_sales
SELECT DISTINCT T2.StoreID, T2.`City Name`, T1.State, T2.Type FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.Type = 'Borough' OR T2.Type = 'CDP'	regional_sales
SELECT T2.Region, T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.SalesTeamID = 18 AND T1.`Sales Channel` = 'In-Store' OR T1.`Sales Channel` = 'Online'	regional_sales
SELECT CAST(SUM(CASE WHEN T1.`Sales Channel` = 'In-Store' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1._CustomerID) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Medline '	regional_sales
SELECT T1.`Customer Names`, T2.DeliveryDate FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.`Sales Channel` = 'Wholesale' AND T3.`Product Name` = 'Bedroom Furniture' AND T2.OrderDate LIKE '%/%/19'	regional_sales
SELECT DISTINCT `Customer Names`, `Product Name` FROM ( SELECT T1.`Customer Names`, T3.`Product Name` , REPLACE(T2.`Unit Price`, ',', '') - REPLACE(T2.`Unit Cost`, ',', '') AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T > 3800	regional_sales
SELECT DISTINCT T2.`City Name` FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'California' AND T2.`Water Area` = '0'	regional_sales
SELECT CAST(SUM(CASE WHEN T2.`Sales Team` = 'Carlos Miller' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID	regional_sales
SELECT SUM(CASE WHEN T2.`Product Name` = 'Platters' THEN 1 ELSE 0 END) AS num1 , SUM(CASE WHEN T2.`Product Name` = 'Serveware' THEN 1 ELSE 0 END) AS num2 FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID	regional_sales
SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 1	regional_sales
SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'South' AND T2.SalesTeamID BETWEEN 1 AND 9 GROUP BY T2.SalesTeamID HAVING COUNT(T1.OrderNumber)	regional_sales
SELECT SUM(IIF(OrderDate = '5/31/18', 1, 0)) FROM `Sales Orders`	regional_sales
SELECT DISTINCT T FROM ( SELECT IIF(DeliveryDate = '6/13/18', OrderNumber, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(IIF(`Order Quantity` > 5, 1, 0)) FROM `Sales Orders`	regional_sales
SELECT T FROM ( SELECT IIF(StateCode = 'GA', State, NULL) AS T FROM Regions ) WHERE T IS NOT NULL	regional_sales
SELECT COUNT(DISTINCT T) FROM ( SELECT CASE  WHEN Region = 'Midwest' THEN StateCode ELSE NULL END AS T FROM Regions ) WHERE T IS NOT NULL	regional_sales
SELECT T FROM ( SELECT DISTINCT IIF(T1.`Unit Cost` = 781.22, T2.`Product Name`, NULL) AS T FROM `Sales Orders` T1 INNER JOIN Products T2 ON T2.ProductID = T1._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT T FROM ( SELECT DISTINCT IIF(T2.`Product Name` = 'Cookware', T1.DeliveryDate, NULL) AS T FROM `Sales Orders` T1 INNER JOIN Products T2 ON T2.ProductID = T1._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T1.OrderDate LIKE '%/%/18' AND T2.`Product Name` = 'Furniture Cushions' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID	regional_sales
SELECT T FROM ( SELECT DISTINCT IIF(T1.`Discount Applied` = 0.1, T2.`Product Name`, NULL) AS T FROM `Sales Orders` T1 INNER JOIN Products T2 ON T2.ProductID = T1._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Phones' AND T1.`Sales Channel` = 'Distributor'	regional_sales
SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Bar Tools' AND T1.`Order Quantity` > 5	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T1.Region = 'South' THEN T2.`City Name` END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode ) WHERE T IS NOT NULL	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.Type = 'Town' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T1.`Customer Names` = 'Medsep Group' THEN 1 ELSE 0 END) FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T1.`Customer Names` = 'Ole Group' THEN T2.`Discount Applied` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.ShipDate = '7/8/18' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T1.`Order Quantity` > 4 AND T2.`Customer Names` = 'Ei ' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID	regional_sales
SELECT SUM(CASE WHEN T1.`Discount Applied` = 0.05 AND T2.`Customer Names` = 'Pacific Ltd' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`Unit Cost` > 4000 THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT StoreID, Latitude, Longitude FROM `Store Locations` WHERE `City Name` = 'Birmingham'	regional_sales
SELECT `City Name` FROM `Store Locations` ORDER BY Population DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN State = 'California' AND Type = 'CDP' THEN 1 ELSE 0 END) FROM `Store Locations`	regional_sales
SELECT T1.OrderNumber, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE REPLACE(T1.`Unit Price`, ',', '') = ( SELECT REPLACE(T1.`Unit Price`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') LIMIT 1 )	regional_sales
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.OrderDate LIKE '%/%/19' ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1	regional_sales
SELECT AVG(REPLACE(T1.`Unit Price`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Cookware'	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T1.OrderDate = '5/31/18' THEN T2.`Sales Team` ELSE NULL END AS T FROM `Sales Orders` T1 INNER JOIN `Sales Team` T2 ON T2.SalesTeamID = T1._SalesTeamID ) WHERE T IS NOT NULL	regional_sales
SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderDate LIKE '%/%/19' GROUP BY T2.`Sales Team` ORDER BY COUNT(T1.OrderNumber) ASC LIMIT 1	regional_sales
SELECT SUBSTR(T1.OrderDate, -2, 2) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'George Lewis' GROUP BY SUBSTR(T1.OrderDate, -2, 2) ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1	regional_sales
SELECT CAST(SUM(CASE WHEN T2.County = 'Orange County' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate LIKE '%/%/18'	regional_sales
SELECT OrderNumber FROM `Sales Orders` WHERE REPLACE(`Unit Price`, ',', '') = ( SELECT REPLACE(`Unit Price`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1 )	regional_sales
SELECT _SalesTeamID FROM `Sales Orders` WHERE OrderDate LIKE '%/%/18' GROUP BY _SalesTeamID ORDER BY COUNT(_SalesTeamID) DESC LIMIT 1	regional_sales
SELECT DISTINCT T FROM ( SELECT IIF(OrderNumber = 'SO - 000103', `Unit Cost`, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T2.County = 'Maricopa County' AND OrderDate LIKE '%/%/20' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID	regional_sales
SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderNumber = 'SO - 000115'	regional_sales
SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate LIKE '%/%/19' GROUP BY T2.`City Name` HAVING COUNT(T1.OrderNumber)	regional_sales
SELECT DISTINCT IIF(COUNT(T2.CustomerID) > 3, T2.`Customer Names`, NULL) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._CustomerID HAVING COUNT(T2.CustomerID)	regional_sales
SELECT SUM(CASE WHEN SUBSTR(T1.OrderDate, -2) IN ('18', '19', '20') AND T2.`Customer Names` = 'Medsep Group' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN SUM(T1.`Order Quantity`) > 5 THEN T2.`Customer Names` END AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID WHERE T1.OrderDate = '6/1/18' GROUP BY T1._CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT CAST(SUM(CASE WHEN REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') > 1000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'Stephen Payne'	regional_sales
SELECT SUM(CASE WHEN Region = 'Northeast' THEN 1 ELSE 0 END) FROM `Sales Team`	regional_sales
SELECT DISTINCT `City Name`, Latitude, Longitude FROM `Store Locations` WHERE County = 'Maricopa County'	regional_sales
SELECT OrderNumber FROM `Sales Orders` WHERE REPLACE(`Unit Cost`, ',', '') = ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 )	regional_sales
SELECT T FROM ( SELECT CASE  WHEN ProductID BETWEEN 30 AND 40 THEN `Product Name` ELSE NULL END AS T FROM Products ) WHERE T IS NOT NULL	regional_sales
SELECT ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` WHERE REPLACE(`Unit Cost`, ',', '') = ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ) / ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` WHERE REPLACE(`Unit Cost`, ',', '') = ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Cost`, ',', '') ASC LIMIT 1 ) ORDER BY REPLACE(`Unit Cost`, ',', '') ASC LIMIT 1 )	regional_sales
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._ProductID ORDER BY COUNT(T1._ProductID) DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN T2.`Sales Team` = 'Adam Hernandez' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`City Name` = 'Daly City' THEN T1.OrderNumber END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T1.`Customer Names` = 'Rochester Ltd' THEN 1 ELSE 0 END) FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID	regional_sales
SELECT T1.OrderNumber FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Qualitest ' ORDER BY T1.`Order Quantity` DESC LIMIT 1	regional_sales
SELECT DISTINCT T1.OrderNumber, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Sales Channel` = 'In-Store'	regional_sales
SELECT SUM(CASE WHEN T1.OrderDate LIKE '5/%/18' AND T1.`Sales Channel` = 'Online' AND T2.`City Name` = 'Norman' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID	regional_sales
SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.County = 'Maricopa County' ORDER BY T2.`Order Quantity` ASC LIMIT 1	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`Sales Team` = 'Samuel Fowler' THEN T1.OrderNumber ELSE NULL END AS T FROM `Sales Orders` T1 INNER JOIN `Sales Team` T2 ON T2.SalesTeamID = T1._SalesTeamID ) WHERE T IS NOT NULL	regional_sales
SELECT COUNT(T2.OrderNumber) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T1.`Product Name` = 'Baseball' AND T2.OrderDate LIKE '12/%/18'	regional_sales
SELECT CAST(SUM(T2.`Order Quantity`) AS REAL) / 12 FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T1.`Product Name` = 'Ornaments' AND T2.OrderDate LIKE '%/%/18'	regional_sales
SELECT CAST(SUM(CASE WHEN T3.`City Name` = 'Burbank' THEN T2.`Order Quantity` ELSE 0 END) AS REAL) * 100 / SUM(T2.`Order Quantity`) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T2.OrderDate LIKE '%/%/18'	regional_sales
SELECT SUM(IIF(WarehouseCode = 'WARE-MKL1006', 1, 0)) - SUM(IIF(WarehouseCode = 'WARE-NBV1002', 1, 0)) AS difference FROM `Sales Orders`	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.DeliveryDate LIKE '%/%/21' AND T1.`Customer Names` = 'Sundial ' THEN T3.`Product Name` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT DISTINCT T2.StoreID, T1.Region FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'Michigan'	regional_sales
SELECT SUM(CASE WHEN T2.`Customer Names` = 'Apollo Ltd' THEN 1 ELSE 0 END), SUM(CASE WHEN T2.`Customer Names` = 'Pacific Ltd' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID	regional_sales
SELECT T2.StoreID FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.`City Name` = 'Aurora (Township)' OR T2.`City Name` = 'Babylon (Town)' GROUP BY T2.StoreID ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1	regional_sales
SELECT DISTINCT T1.`Customer Names`, T4.`Product Name` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID INNER JOIN Products AS T4 ON T4.ProductID = T2._ProductID WHERE T3.`Sales Team` = 'Anthony Torres' AND T2.`Sales Channel` = 'Distributor'	regional_sales
SELECT DISTINCT `Customer Names`, CustomerID FROM ( SELECT T2.`Customer Names`, T2.CustomerID , SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID WHERE T1.`Sales Channel` = 'Online' GROUP BY T2.CustomerID ) WHERE T > 5000	regional_sales
SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.DeliveryDate LIKE '%/%/21' AND T2.`Product Name` = 'Floral'	regional_sales
SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.Population BETWEEN 3000000 AND 4000000	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.`Time Zone` = 'Pacific/Honolulu' AND T2.`Sales Channel` = 'Wholesale' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` T3 ON T3.StoreID = T2._StoreID ) WHERE T IS NOT NULL	regional_sales
SELECT DISTINCT OrderNumber, `Product Name` FROM ( SELECT IIF(T2.OrderDate = '6/6/18', T2.OrderNumber, NULL) AS "OrderNumber" , IIF(T2.OrderDate = '6/6/18', T1.`Product Name`, NULL) AS "Product Name" FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE OrderNumber IS NOT NULL AND `Product Name` IS NOT NULL	regional_sales
SELECT COUNT(T1.OrderNumber) / 3 FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE (T1.OrderDate LIKE '%/%/18' AND T2.`Customer Names` = 'Weimei Corp') OR (T1.OrderDate LIKE '%/%/19' AND T2.`Customer Names` = 'Weimei Corp') OR (T1.OrderDate LIKE '%/%/20' AND T2.`Customer Names` = 'Weimei Corp')	regional_sales
SELECT CAST(SUM(CASE WHEN T2.WarehouseCode = 'WARE-NMK1003' THEN 1 ELSE 0 END) AS REAL) / 12 , CAST(SUM(CASE WHEN T2.WarehouseCode = 'WARE-NMK1003' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.OrderNumber), COUNT(CASE WHEN T1.`Product Name` = 'Floor Lamps' AND T2.WarehouseCode = 'WARE-NMK1003' THEN T2.`Order Quantity` ELSE NULL END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T2.OrderDate LIKE '%/%/19'	regional_sales
SELECT DISTINCT T FROM ( SELECT IIF(_CustomerID = 11, ProcuredDate, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN `Order Quantity` = 1 AND `Sales Channel` = 'Distributor' THEN 1 ELSE 0 END) FROM `Sales Orders`	regional_sales
SELECT DISTINCT T FROM ( SELECT CASE  WHEN `Discount Applied` = '0.1' AND `Sales Channel` = 'In-Store' THEN _SalesTeamID ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN Population < 3000000 AND Type = 'Borough' AND `City Name` = 'Brooklyn' THEN 1 ELSE 0 END) FROM `Store Locations`	regional_sales
SELECT COUNT(DISTINCT T) FROM ( SELECT CASE  WHEN Region = 'Midwest' THEN State ELSE NULL END AS T FROM Regions ) WHERE T IS NOT NULL	regional_sales
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID GROUP BY T1._ProductID ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 10	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`Order Quantity` = 3 AND T2.OrderDate LIKE '2/%/18' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL	regional_sales
SELECT DISTINCT T3.`Sales Team` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T1.`Customer Names` = 'Apotheca, Ltd'	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.WarehouseCode = 'WARE-UHY1004' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode INNER JOIN `Sales Orders` T3 ON T3._StoreID = T2.StoreID ) WHERE T IS NOT NULL	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T4.`Product Name` = 'Audio' AND T3.`Sales Team` = 'Shawn Torres' THEN T1.`City Name` ELSE NULL END AS T FROM `Store Locations` T1 INNER JOIN `Sales Orders` T2 ON T2._StoreID = T1.StoreID INNER JOIN `Sales Team` T3 ON T3.SalesTeamID = T2._SalesTeamID INNER JOIN Products T4 ON T4.ProductID = T2._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT T3.`Product Name`, T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.OrderDate = '10/21/18' AND T2.DeliveryDate = '11/21/19'	regional_sales
SELECT SUM(CASE WHEN T1.ProcuredDate = '10/27/18' AND T2.`City Name` = 'Orlando' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID	regional_sales
SELECT `Sales Channel` FROM ( SELECT T1.`Sales Channel` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 3 ) GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1	regional_sales
SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 5	regional_sales
SELECT MAX(T1.`Discount Applied`) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.State = 'Colorado' AND T2.`Land Area` = 111039036	regional_sales
SELECT COUNT(DISTINCT T2.`Time Zone`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast'	regional_sales
SELECT DISTINCT CASE WHEN MAX(T2.Population) THEN T2.Type END FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode	regional_sales
SELECT T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.WarehouseCode = 'WARE-MKL1006' GROUP BY T2.Region ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1	regional_sales
SELECT T2.`City Name` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE REPLACE(T1.`Unit Price`, ',', '') = ( SELECT REPLACE(T1.`Unit Price`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN T1.`Sales Channel` = 'Online' AND T2.`Customer Names` = 'Ole Group' AND T1.OrderDate LIKE '5/%/19' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID	regional_sales
SELECT SUM(CASE WHEN T1.`Order Quantity` = 1 AND T1.`Sales Channel` = 'Distributor' AND T2.County = 'Washtenaw County' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID	regional_sales
SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Santa Clarita' GROUP BY T1.`Product Name` ORDER BY COUNT(T1.`Product Name`) ASC LIMIT 1	regional_sales
SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.WarehouseCode = 'WARE-PUJ1005' GROUP BY T2.StoreID ORDER BY COUNT(T1.WarehouseCode) ASC LIMIT 1	regional_sales
SELECT CAST(SUM(CASE WHEN T2.State = 'New York' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate = '4/4/20'	regional_sales
SELECT AVG(T2.`Land Area`) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.`Unit Price` = '998.30'	regional_sales
SELECT AVG(T2.`Household Income`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'New Hampshire' AND T2.Type = 'City'	regional_sales
SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`	regional_sales
SELECT DISTINCT T FROM ( SELECT CASE  WHEN OrderDate > '1/1/18' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL	regional_sales
SELECT COUNT(T1.`Sales Channel`) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest'	regional_sales
SELECT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE REPLACE(T1.`Unit Price`, ',', '') = ( SELECT REPLACE(T1.`Unit Price`, ',', '') FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(T1.`Unit Price`, ',', '') DESC LIMIT 1	regional_sales
SELECT T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.`Sales Channel` = 'Online' ORDER BY T1.`Discount Applied` DESC LIMIT 1	regional_sales
SELECT T1.OrderNumber, T1.OrderDate FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Apollo Ltd' ORDER BY T1.`Unit Price` DESC LIMIT 1	regional_sales
SELECT DISTINCT T1.OrderNumber, T1.WarehouseCode FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Elorac, Corp'	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T3.`Product Name` = 'Cocktail Glasses' AND T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT T2.StoreID FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.State = 'Arizona' ORDER BY T1.`Unit Price` - T1.`Unit Cost` DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN T3.State = 'Florida' THEN T2.`Unit Price` ELSE 0 END) - SUM(CASE WHEN T3.State = 'Texas' THEN T2.`Unit Price` ELSE 0 END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T1.`Product Name` = 'Computers'	regional_sales
SELECT DISTINCT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest' AND T1.`Order Quantity` > 5	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.State = 'California' AND T1.`Sales Channel` = 'In-Store' AND T1.`Discount Applied` = 0.2 THEN T2.StoreID END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL	regional_sales
SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID WHERE T2.OrderDate LIKE '%/%/18' OR T2.OrderDate LIKE '%/%/19' OR T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Order Quantity` DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN T1.`Product Name` = 'Candles' THEN T2.`Order Quantity` ELSE 0 END), CAST(SUM(CASE WHEN T1.`Product Name` = 'Candles' THEN T2.`Order Quantity` ELSE 0 END) AS REAL) * 100 / SUM(T2.`Order Quantity`) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN `Sales Team` = 'Joshua Bennett' THEN Region ELSE NULL END AS T FROM `Sales Team` ) WHERE T IS NOT NULL	regional_sales
SELECT CASE WHEN MAX(Population) THEN StoreID END FROM `Store Locations`	regional_sales
SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`	regional_sales
SELECT CASE WHEN MAX(`Water Area`) THEN Type END FROM `Store Locations`	regional_sales
SELECT SUM(IIF(ShipDate LIKE '6/%/18' AND `Sales Channel` = 'Online', 1, 0)) FROM `Sales Orders`	regional_sales
SELECT `Discount Applied` FROM `Sales Orders` WHERE REPLACE(`Unit Price`, ',', '') = ( SELECT REPLACE(`Unit Price`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1	regional_sales
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1	regional_sales
SELECT AVG(T2.`Household Income`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast' GROUP BY T2.State ORDER BY COUNT(T2.StoreID) DESC LIMIT 1	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.`Median Income` < 30000 THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode ) WHERE T IS NOT NULL	regional_sales
SELECT SUM(CASE WHEN T1.Region = 'West' AND T2.`Land Area` < 20000000 THEN 1 ELSE 0 END) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode	regional_sales
SELECT `Customer Names` FROM ( SELECT T1.`Customer Names`, T2.`Unit Price` - T2.`Unit Cost` AS "net profit" FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY `net profit` DESC LIMIT 1	regional_sales
SELECT COUNT(T1.OrderNumber), T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.OrderDate LIKE '%/%/19' AND T1.ShipDate LIKE '%/%/19' GROUP BY T2.`Sales Team` ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1	regional_sales
SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Order Quantity` > 5 AND ShipDate LIKE '5/%/19' ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') ASC LIMIT 1	regional_sales
SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 3, 1	regional_sales
SELECT COUNT(T1.OrderNumber), T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.ShipDate LIKE '%/%/20' GROUP BY T2.`Sales Team` ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1	regional_sales
SELECT CAST(COUNT(T1.OrderNumber) AS REAL) / 3 FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/18') OR (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/19') OR (T2.`Sales Team` = 'Carl Nguyen' AND ShipDate LIKE '%/%/20')	regional_sales
SELECT T1.`Unit Price` * T1.`Discount Applied`, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1	regional_sales
SELECT `Customer Names` FROM ( SELECT T1.`Customer Names` , REPLACE(T2.`Unit Price`, ',', '') * T2.`Order Quantity` - REPLACE(T2.`Unit Price`, ',', '') * T2.`Discount Applied` AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY T DESC LIMIT 3	regional_sales
SELECT `Sales Channel` FROM `Sales Orders` WHERE OrderDate LIKE '1/%/20' GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1	regional_sales
SELECT T FROM ( SELECT DISTINCT CASE  WHEN T2.OrderNumber = 'SO - 0005951' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE T IS NOT NULL	regional_sales
SELECT T3.`Sales Team`, T1.`City Name` FROM `Store Locations` AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._StoreID = T1.StoreID INNER JOIN `Sales Team` AS T3 ON T3.SalesTeamID = T2._SalesTeamID WHERE T2.OrderNumber = 'SO - 0001004'	regional_sales
SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Gilbert' AND T2.ProcuredDate LIKE '%/%/19' ORDER BY REPLACE(T2.`Unit Price`, ',', '') - REPLACE(T2.`Unit Cost`, ',', '') DESC LIMIT 1	regional_sales
SELECT SUM(CASE WHEN T2.`City Name` = 'Chandler' AND T1.OrderDate LIKE '%/%/20' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID	regional_sales
SELECT AVG(`Household Income`) FROM `Store Locations` WHERE `City Name` = 'Glendale'	regional_sales
SELECT MAX(`Discount Applied`) FROM `Sales Orders` WHERE OrderDate LIKE '%/%/20'	regional_sales
SELECT COUNT(*) FROM matchs WHERE season = 2008 AND AwayTeam = 'Ebbsfleet' AND FTR = 'D'	european_football_1
SELECT CAST(COUNT(CASE WHEN country = 'England' THEN division ELSE NULL END) AS REAL) * 100 / COUNT(division) FROM divisions	european_football_1
SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) / COUNT(HomeTeam) AS REAL) * 100, CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam), CAST(COUNT(CASE WHEN FTR = 'D' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam) FROM matchs WHERE HomeTeam = 'Cittadella'	european_football_1
SELECT AwayTeam FROM matchs WHERE HomeTeam = 'Caen' AND season = 2010 AND FTR = 'A' GROUP BY AwayTeam ORDER BY COUNT(AwayTeam) DESC LIMIT 1	european_football_1
SELECT CAST(SUM(CASE WHEN Div = 'F1' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Div) FROM matchs WHERE Date = '2005-07-30' 	european_football_1
SELECT CAST(SUM(CASE WHEN HomeTeam = 'Sassuolo' OR AwayTeam = 'Sassuolo' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(FTR) FROM matchs WHERE FTR = 'D'	european_football_1
SELECT CAST(SUM(CASE WHEN FTAG = 2 THEN 1 ELSE 0 END) / COUNT(FTAG) AS REAL) * 100 FROM matchs WHERE season = 2017	european_football_1
SELECT T1.HomeTeam,T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'EFL League One' and T1.Div = 'E2' 	european_football_1
SELECT COUNT(DISTINCT CASE WHEN T1.FTHG >= 4 THEN HomeTeam ELSE NULL end) + COUNT(DISTINCT CASE WHEN T1.FTAG >= 4 THEN AwayTeam ELSE NULL end) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Greece' 	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T2.name = 'Scottish Championship' AND T1.FTAG = 2 AND T1.FTHG = 2	european_football_1
SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Scotland' AND T1.FTHG = 10	european_football_1
SELECT T1.HomeTeam HWHT , CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T2.country = 'Spain' AND T1.season = 2017	european_football_1
SELECT ( SELECT COUNT(T1.Div) AS total FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 ) AS num , CASE WHEN 1 THEN T.result END AS percentage FROM ( SELECT 100.0 * COUNT(T1.Div) / ( SELECT COUNT(T1.Div) FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 ) AS result FROM matchs T1 INNER JOIN divisions T2 ON T2.division = T1.Div WHERE T2.country = 'England' AND T1.season = 2012 GROUP BY T2.division ) AS T	european_football_1
SELECT ( SELECT MAX(MAX(FTAG), MAX(FTHG)) FROM matchs WHERE season = 2021 ) AS T1, AwayTeam FROM matchs WHERE season = 2021 AND FTHG = T1 OR FTAG = T1	european_football_1
SELECT HomeTeam FROM matchs WHERE Div = 'P1' AND season = 2021 ORDER BY FTHG DESC LIMIT 1	european_football_1
SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(FTR) - CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(FTR) DIFFERENCE FROM matchs WHERE season = 2010	european_football_1
SELECT Div FROM matchs WHERE season = 2008 AND FTR = 'D' GROUP BY Div ORDER BY COUNT(FTR) DESC LIMIT 1	european_football_1
SELECT HomeTeam FROM matchs WHERE Div = 'EC' AND Date = '2008-01-20' AND FTR = 'H'	european_football_1
SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2009-09-13' and T1.HomeTeam = 'Club Brugge' AND T1.AwayTeam = 'Genk'	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Scottish Premiership' AND (T1.season BETWEEN 2006 AND 2008)	european_football_1
SELECT DISTINCT T2.division,T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.HomeTeam = 'Hearts' AND T1.AwayTeam = 'Hibernian'	european_football_1
SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'Bundesliga' ORDER BY T1.FTAG DESC LIMIT 1	european_football_1
SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.country = 'Italy' LIMIT 3	european_football_1
SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T1.FTR = 'D' GROUP BY T2.division ORDER BY COUNT(FTR) LIMIT 1	european_football_1
SELECT COUNT(T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T1.HomeTeam = 'Valencia' AND T1.FTR = 'H'	european_football_1
SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Seria A' AND T1.FTR = 'D'	european_football_1
SELECT COUNT(division) FROM divisions WHERE country = 'England'	european_football_1
SELECT name FROM divisions WHERE country = 'Netherlands'	european_football_1
SELECT CASE WHEN FTR = 'H' THEN 'East Fife' ELSE 'Dumbarton' END WINNER FROM matchs WHERE Date = '2009-10-10' AND HomeTeam = 'East Fife' AND AwayTeam = 'Dumbarton'	european_football_1
SELECT FTHG, FTAG FROM matchs WHERE Date = '2009-04-26' AND HomeTeam = 'Bursaspor' AND AwayTeam = 'Denizlispor'	european_football_1
SELECT MIN(Date) FROM matchs WHERE FTHG + FTAG > 10	european_football_1
SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam ELSE T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Ligue 2' ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1	european_football_1
SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga 2' AND T1.Date = '2016-03-27' AND T1.FTR = 'A'	european_football_1
SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'National League' AND T1.Date = '2018-08-07' AND T1.FTR = 'D'	european_football_1
SELECT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division GROUP BY T2.country ORDER BY SUM(T1.FTAG) DESC LIMIT 1	european_football_1
SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2011 AND T1.FTHG = 1 AND T1.FTAG = 8	european_football_1
SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-02-22' AND T1.FTAG + T1.FTHG > 5 ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1	european_football_1
SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.FTAG = 0 AND T1.FTHG = 0 GROUP BY T2.division ORDER BY COUNT(T1.FTAG) DESC LIMIT 1	european_football_1
SELECT COUNT(T1.Date) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Scottish League One' AND T1.Date = ( SELECT Date FROM matchs WHERE FTHG = 5 AND FTAG = 2 AND HomeTeam = 'Pro Vercelli' AND AwayTeam = 'Pescara' )	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.country = 'Greece' AND T1.FTHG = 5 AND T1.FTAG = 0	european_football_1
SELECT DISTINCT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.HomeTeam = 'Bradford' OR T1.AwayTeam = 'Bradford'	european_football_1
SELECT COUNT(DISTINCT T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Eredivisie' AND T1.season = 2008	european_football_1
SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Bundesliga'	european_football_1
SELECT CAST(COUNT(CASE WHEN T2.name = 'Liga NOS' THEN T1.Div ELSE NULL END) AS REAL) * 100 / COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.FTHG = 1 AND FTAG = 1	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Premier League'	european_football_1
SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'	european_football_1
SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam WHEN T1.FTR = 'A' THEN T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'	european_football_1
SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'H' GROUP BY T1.HomeTeam ORDER BY COUNT(T1.FTR) DESC LIMIT 1	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.AwayTeam = 'Werder Bremen' AND T1.FTR = 'A'	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'A' AND T1.season = 2021	european_football_1
SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'D'	european_football_1
SELECT COUNT(CASE WHEN T2.name = 'Bundesliga' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.name = 'Premier League' THEN 1 ELSE NULL END) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H'	european_football_1
SELECT DISTINCT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H' AND T2.name = 'Bundesliga'	european_football_1
SELECT CASE WHEN COUNT(CASE WHEN T1.HomeTeam = 'Augsburg' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.HomeTeam = ' Mainz' THEN 1 ELSE NULL END) > 0 THEN 'Augsburg' ELSE 'Mainz' END FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H'	european_football_1
SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021 ORDER BY T1.FTHG DESC LIMIT 1	european_football_1
SELECT SUM(T1.FTHG) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021	european_football_1
SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) + COUNT(CASE WHEN T1.FTR = 'A' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(t1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.AwayTeam = 'Club Brugge' OR T1.HomeTeam = 'Club Brugge'	european_football_1
SELECT CAST(homeWon AS REAL) * 100 / won  FROM teams	professional_basketball
SELECT name FROM teams WHERE CAST(lost AS REAL) * 100 / games > 75	professional_basketball
SELECT T1.name, T1.won FROM teams AS T1 INNER JOIN ( SELECT * FROM teams WHERE year = 2004 ) AS T2 on T1.tmID = T2.tmID WHERE T1.year = 2005 and T1.won > T2.won	professional_basketball
SELECT name, o_pts FROM teams WHERE CAST((homeWon - homeLost) AS REAL) * 100 / games > 80	professional_basketball
SELECT CAST(SUM(CASE WHEN rank = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(name) FROM teams	professional_basketball
SELECT coachID, won, lost FROM coaches WHERE year = 1950 AND tmID = 'BOS'	professional_basketball
SELECT coachID, tmID FROM coaches WHERE year BETWEEN 1970 AND 1980 ORDER BY stint DESC LIMIT 1	professional_basketball
SELECT T1.coachID, T2.name, T2.won FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 2000 AND T2.won > 50	professional_basketball
SELECT DISTINCT T1.coachID, T2.tmID, T1.year FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 2000 AND 2010 AND T2.lost > T2.won	professional_basketball
SELECT T2.name, T1.year, T2.o_pts FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1990 AND 1995 AND T1.coachID = 'adelmri01'	professional_basketball
SELECT DISTINCT T2.name, T1.year, T1.coachID FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID WHERE CAST(T2.won AS REAL) * 100 / T2.games > 90	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T1.birthState = 'NY' AND T2.award = 'All-Defensive First Team' AND T2.year BETWEEN 1980 AND 2000	professional_basketball
SELECT DISTINCT T3.divID FROM awards_coaches AS T1 INNER JOIN coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T2.tmID = T3.tmID WHERE T1.year = 1977 AND T1.award = 'NBA Coach of the Year' AND T3.year = 1976	professional_basketball
SELECT DISTINCT T2.coachID FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T3.tmID = T1.tmID WHERE T2.award = 'NBA Coach of the Year' AND T2.year BETWEEN 1970 AND 1979 AND T1.year = 1981 AND T3.name = 'Chicago Bulls'	professional_basketball
SELECT T2.nameNick FROM player_allstar AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T1.blocks = 2 AND T1.conference = 'West' AND T1.season_id = 2006	professional_basketball
SELECT T2.year FROM series_post AS T1 INNER JOIN teams AS T2 ON T1.tmIDWinner = T2.tmID WHERE T1.round = 'DSF' AND T1.tmIDLoser = 'HSM' ORDER BY T2.rank ASC LIMIT 1	professional_basketball
SELECT T1.birthDate FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1985 ORDER BY T2.assists DESC LIMIT 1	professional_basketball
SELECT DISTINCT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Winter Haven' AND T2.season_id BETWEEN 1980 AND 1989 AND T2.minutes = 12	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.conference = 'East' AND T2.minutes <= 5 AND T1.college = 'Illinois'	professional_basketball
SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007	professional_basketball
SELECT year FROM coaches WHERE coachID = 'costela01' ORDER BY CAST(won AS REAL) / (won + lost) DESC LIMIT 1	professional_basketball
SELECT SUM(T2.minutes) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Brooklyn' AND T1.nameNick LIKE '%Superman%'	professional_basketball
SELECT T3.tmID FROM awards_coaches AS T1 INNER JOIN coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T1.year = 1994 AND T1.award = 'NBA Coach of the Year' GROUP BY T3.tmID ORDER BY SUM(T3.homeLost) DESC LIMIT 1	professional_basketball
SELECT DISTINCT T2.tmID FROM series_post AS T1 INNER JOIN teams AS T2 ON T1.tmIDWinner = T2.tmID WHERE T2.won > 60 AND T1.year = 1996 AND T1.round = 'CSF' AND T1.tmIDLoser = 'LAL'	professional_basketball
SELECT T2.lgID FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID GROUP BY T2.lgID, T1.weight HAVING T1.weight = MAX(T1.weight) - MAX(T1.weight) * 0.4	professional_basketball
SELECT coachID FROM coaches GROUP BY coachID HAVING COUNT(DISTINCT tmID) > 2	professional_basketball
SELECT coachID FROM coaches ORDER BY post_wins DESC LIMIT 1	professional_basketball
SELECT coachID FROM coaches WHERE lgID = 'NBA' AND post_wins != 0 AND post_losses != 0 AND coachID IN ( SELECT coachID FROM coaches WHERE lgID = 'NBA' GROUP BY coachID HAVING COUNT(tmID) > 2 ) ORDER BY post_losses ASC LIMIT 1	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.lgID = 'ABA' AND (T1.pos = 'C' OR T1.pos = 'F-C')	professional_basketball
SELECT DISTINCT T1.firstName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE (T1.pos = 'F' OR T1.pos = 'F-C') AND T2.lgID = 'NBA'	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.hsCity = 'Chicago' AND T2.conference = 'West'	professional_basketball
SELECT DISTINCT T1.college FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.conference = 'East'	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Spencer' AND T2.lgID = 'NBL'	professional_basketball
SELECT T1.birthDate FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' GROUP BY T1.playerID, T1.birthDate ORDER BY COUNT(award) DESC LIMIT 1	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'Houston'	professional_basketball
SELECT T1.height FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year' ORDER BY T1.height DESC LIMIT 1	professional_basketball
SELECT AVG(T1.weight) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year'	professional_basketball
SELECT AVG(T1.height) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'New York'	professional_basketball
SELECT tmID FROM players_teams WHERE year = 2000 GROUP BY tmID ORDER BY SUM(PostPoints) DESC LIMIT 10	professional_basketball
SELECT name FROM teams WHERE CAST(won AS REAL) * 100 / (won + lost) < 50	professional_basketball
SELECT coachID FROM coaches GROUP BY tmID, coachID, won, lost HAVING CAST(won AS REAL) * 100 / (won + lost) > 80	professional_basketball
SELECT coachID FROM coaches WHERE lgID = 'NBA' GROUP BY coachID HAVING MAX(year) - MIN(year) > 10	professional_basketball
SELECT COUNT(DISTINCT T4.name) FROM ( SELECT T1.name, SUM(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN awards_players AS T3 ON T2.playerID = T3.playerID WHERE T3.award = 'Most Valuable Player' GROUP BY T1.name HAVING SUM(T2.points) >= 3800 ) AS T4	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'AFS' ORDER BY T1.height DESC LIMIT 1	professional_basketball
SELECT T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'BLB'	professional_basketball
SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 1975	professional_basketball
SELECT coachID FROM awards_coaches WHERE year BETWEEN 1970 AND 1990 GROUP BY coachID, award HAVING COUNT(award) = 2	professional_basketball
SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'ABA Coach of the Year' AND coachID IN ( SELECT coachID FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'NBA Coach of the Year' )	professional_basketball
SELECT AVG(T2.points) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1975	professional_basketball
SELECT DISTINCT T1.lastName, T1.firstName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.height > 75	professional_basketball
SELECT MIN(T1.weight) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.college = 'UCLA'	professional_basketball
SELECT MAX(T1.weight) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCountry = 'USA'	professional_basketball
SELECT SUM(T2.points) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id BETWEEN 1960 AND 1970 AND T1.deathDate = '0000-00-00'	professional_basketball
SELECT DISTINCT T1.lastName, T1.firstName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthDate > 1950 AND CAST(T2.o_rebounds AS REAL) * 100 / T2.rebounds > 30	professional_basketball
SELECT COUNT(playerID) FROM awards_players WHERE year BETWEEN 1969 AND 2010 AND award = 'Rookie of the Year'	professional_basketball
SELECT T1.tmID FROM players_teams AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID GROUP BY T1.tmID HAVING COUNT(DISTINCT T1.playerID) >= 3	professional_basketball
SELECT MAX(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1950 AND 1970 AND T1.rank = 1	professional_basketball
SELECT T5.lastName, T5.firstName FROM players_teams AS T4 INNER JOIN players AS T5 ON T4.playerID = T5.playerID WHERE T4.year BETWEEN 1937 AND 1940 AND T4.tmID IN ( SELECT DISTINCT T1.tmID FROM teams AS T1 INNER JOIN teams AS T2 INNER JOIN teams AS T3 ON T1.tmID = T2.tmID AND T2.tmID = T3.tmID AND T3.year - T2.year = 1 AND T2.year - T1.year = 1 WHERE T1.rank = 1 AND T1.year BETWEEN 1937 AND 1940 )	professional_basketball
SELECT DISTINCT T1.name FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.rank = 3 AND T1.year BETWEEN 1937 AND 1940 ORDER BY T2.points DESC LIMIT 1	professional_basketball
SELECT COUNT(*) FROM ( SELECT T2.name, SUM(T1.points) FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 1937 GROUP BY T2.name HAVING SUM(points) >= 500 ) AS T3	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE CAST(T2.won AS REAL) * 100 / CAST(T2.games AS REAL) > 75 AND T1.year = 1990	professional_basketball
SELECT firstName, lastName FROM players WHERE race = 'B' AND height > 0 ORDER BY height ASC LIMIT 3	professional_basketball
SELECT COUNT(DISTINCT playerID) FROM draft WHERE firstName = 'Joe' AND draftYear = 1970	professional_basketball
SELECT COUNT(fg_made) FROM player_allstar WHERE first_name = 'George' AND last_name = 'Mikan' AND season_id BETWEEN 1951 AND 1953	professional_basketball
SELECT MIN(CAST(weight AS REAL) / (height * height)) , MAX(CAST(weight AS REAL) / (height * height)) FROM players	professional_basketball
SELECT name FROM teams ORDER BY CAST(homeWon AS REAL) / (homeWon + homeLost) DESC LIMIT 1	professional_basketball
SELECT draftYear - strftime('%Y', birthDate) FROM draft AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T1.firstName = 'Alexis' AND T1.lastName = 'Ajinca' AND draftRound = 1	professional_basketball
SELECT T1.firstName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T3.name = 'Denver Nuggets' AND T2.year > 1980 ORDER BY T1.height DESC LIMIT 1	professional_basketball
SELECT T1.playerID FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE deathDate IS NOT NULL GROUP BY T1.playerID ORDER BY COUNT(award) DESC LIMIT 1	professional_basketball
SELECT T3.name FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T1.college = 'UCLA' GROUP BY T3.name ORDER BY COUNT(DISTINCT T1.playerID) DESC LIMIT 1	professional_basketball
SELECT AVG(CAST(T1.weight AS REAL) / (T1.height * T1.height)) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID	professional_basketball
SELECT T1.name FROM teams AS T1 INNER JOIN ( SELECT * FROM teams WHERE lgID = 'ABA' AND year = 1972 ) AS T2 ON T1.tmID = T2.tmID WHERE T1.lgID = 'ABA' AND T1.year = 1973 ORDER BY (CAST(T1.won AS REAL) / (T1.won + T1.lost) - (CAST(T2.won AS REAL) / (T2.won + T2.lost))) DESC LIMIT 1	professional_basketball
SELECT T1.firstName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.lgID = 'NBL' GROUP BY T1.playerID, T1.firstName ORDER BY COUNT(PF) DESC LIMIT 1	professional_basketball
SELECT AVG(DISTINCT height) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE conference = 'East'	professional_basketball
SELECT T1.coachID FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.award = 'ABA Coach of the Year' GROUP BY T1.coachID, T1.won ORDER BY T1.won DESC LIMIT 1	professional_basketball
SELECT name FROM teams AS T1 INNER JOIN coaches AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN awards_coaches AS T3 ON T2.coachID = T3.coachID AND T2.year = T3.year WHERE T3.year = 1992 AND award = 'NBA Coach of the Year'	professional_basketball
SELECT T1.firstName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE year = 1973 ORDER BY CAST(T2.fgMade AS REAL) / T2.fgAttempted DESC LIMIT 1	professional_basketball
SELECT T1.name FROM teams AS T1 INNER JOIN draft AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.draftYear WHERE T2.firstName = 'Mike' AND T2.lastName = 'Lynn'	professional_basketball
SELECT COUNT(DISTINCT T2.playerID) FROM awards_players AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T1.award = 'Most Improved Player' AND T2.birthCountry = 'USA' AND T1.year BETWEEN 1985 AND 1990	professional_basketball
SELECT DISTINCT T1.firstName, T1.lastName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.college = 'California'	professional_basketball
SELECT COUNT(coachID) FROM awards_coaches WHERE year BETWEEN 1950 AND 1970 GROUP BY coachID HAVING COUNT(coachID) > 1	professional_basketball
SELECT COUNT(DISTINCT playerID) FROM awards_players WHERE year BETWEEN 1969 AND 1975 AND award = 'Most Valuable Player'	professional_basketball
SELECT DISTINCT name FROM teams WHERE tmID IN ( SELECT tmID FROM players_teams AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T2.birthState IS NOT NULL GROUP BY T1.tmID, T2.birthState HAVING COUNT(*) > 5 )	professional_basketball
SELECT COUNT(*) FROM ( SELECT tmID FROM players_teams AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.lgID = 'NBA' GROUP BY T1.tmID HAVING COUNT(DISTINCT T1.playerID) > 3 ) AS T3	professional_basketball
SELECT T1.birthState FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID GROUP BY T1.birthState ORDER BY COUNT(DISTINCT T1.playerID) DESC LIMIT 1	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T3.year = 1937 AND T3.rank = 6	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE CAST(T3.lost AS REAL) * 100 / (T3.lost + T3.won) < 20	professional_basketball
SELECT firstName, middleName, lastName FROM players WHERE birthCountry != 'USA'	professional_basketball
SELECT coachID FROM coaches GROUP BY coachID HAVING COUNT(DISTINCT tmID) > 2	professional_basketball
SELECT coachID FROM coaches WHERE year = 1988 ORDER BY won - lost DESC LIMIT 1	professional_basketball
SELECT DISTINCT T1.tmID FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 2010 AND T2.award = 'NBA Coach of the Year'	professional_basketball
SELECT DISTINCT T1.firstName, T1.lastName, T1.height, T1.weight FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.ft_attempted > 0 AND ft_attempted = ft_made	professional_basketball
SELECT DISTINCT T1.firstName, T1.lastName, T3.name FROM players AS T1 INNER JOIN draft AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T2.tmID = T3.tmID WHERE T2.draftFrom = 'Seattle' AND T2.draftYear BETWEEN 1965 AND 1970	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName , 2003 - strftime('%Y', T1.birthDate) FROM awards_players AS T2 JOIN players AS T1 ON T2.playerID = T1.playerID WHERE T2.award = 'Finals MVP' AND T2.year = 2003	professional_basketball
SELECT DISTINCT T1.name, T2.year FROM teams AS T1 JOIN series_post AS T2 ON T1.tmID = T2.tmIDWinner WHERE T2.round = 'F' AND T2.year BETWEEN 1950 AND 1960	professional_basketball
SELECT DISTINCT T1.coachID, T3.name FROM coaches AS T1 JOIN series_post AS T2 ON T1.tmID = T2.tmIDWinner JOIN teams AS T3 ON T3.tmID = T1.tmID WHERE T2.round = 'QF' AND T2.year = 1946	professional_basketball
SELECT DISTINCT T3.firstName, T3.middleName, T3.lastName FROM series_post AS T1 INNER JOIN players_teams AS T2 ON T1.tmIDWinner = T2.tmID INNER JOIN players AS T3 ON T3.playerID = T2.playerID WHERE T1.year = 1970 AND T1.round = 'F'	professional_basketball
SELECT college FROM players WHERE playerID = ( SELECT playerID FROM awards_players WHERE year = 1970 GROUP BY playerID ORDER BY COUNT(award) DESC LIMIT 1 )	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year' ORDER BY T1.birthDate DESC LIMIT 1	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN draft AS T2 ON T1.playerID = T2.playerID WHERE T2.draftRound = 1 AND T1.birthCountry != 'USA' AND T2.draftYear = 1973	professional_basketball
SELECT CAST(SUM(T2.o_rebounds) AS REAL) * 100 / SUM(T2.rebounds) FROM players_teams AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.year = 2000	professional_basketball
SELECT DISTINCT T1.year, T2.name, T1.coachID FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID WHERE CAST(T1.won AS REAL) / CAST((T1.won + T1.lost) AS REAL) > 0.75	professional_basketball
SELECT DISTINCT coachID FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID WHERE name = 'Oklahoma City Thunder'	professional_basketball
SELECT COUNT(playerID) FROM players_teams WHERE CAST(oRebounds AS REAL) * 100 / dRebounds <= 50 AND year = 1990	professional_basketball
SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE season_id BETWEEN 2000 AND 2005 AND steals <= 10	professional_basketball
SELECT T1.playerID FROM draft AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year' AND T1.draftYear = 1971 AND T1.draftRound = 2	professional_basketball
SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1973 AND T1.race = 'B'	professional_basketball
SELECT T2.tmID FROM series_post AS T1 INNER JOIN teams AS T2 ON T1.tmIDWinner = T2.tmID WHERE T1.year = 1947 AND T1.round = 'QF' AND T2.d_pts = 3513	professional_basketball
SELECT CAST(SUM(lost) AS REAL) * 100 / SUM(games) FROM teams WHERE name = 'Houston Mavericks'	professional_basketball
SELECT playerID FROM awards_players WHERE year > 1990 AND award = 'Most Valuable Player' AND lgID = 'NBA'	professional_basketball
SELECT COUNT(DISTINCT T2.year) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'LAL' AND T2.year BETWEEN 1975 AND 1980 AND T1.playerID = 'abdulka01'	professional_basketball
SELECT CAST(SUM(CASE WHEN award = 'NBA Coach of the Year' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM awards_coaches WHERE year = 1969	professional_basketball
SELECT CAST(SUM(CASE WHEN year = 1947 AND tmIDWinner = 'CHS' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN year = 1947 THEN 1 ELSE 0 END) - CAST(SUM(CASE WHEN year = 1946 AND tmIDWinner = 'CHS' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN year = 1946 THEN 1 ELSE 0 END) FROM series_post	professional_basketball
SELECT COUNT(T1.award) FROM awards_players AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T1.year = 2010 AND T2.hsCity = 'Chicago'	professional_basketball
SELECT CAST(SUM(CASE WHEN T2.award = 'All-Defensive Second Team' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T1.college = 'Auburn'	professional_basketball
SELECT DISTINCT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1997 ORDER BY T2.steals DESC LIMIT 5	professional_basketball
SELECT T1.college FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1990 AND T2.award = 'Finals MVP'	professional_basketball
SELECT playerID FROM player_allstar WHERE season_id = 1996 AND CAST(ft_made AS REAL) * 100 / ft_attempted > 70	professional_basketball
SELECT DISTINCT T2.playerID FROM player_allstar AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.year BETWEEN 1980 AND 1983 AND T1.three_made / T1.three_attempted > 0.6	professional_basketball
SELECT DISTINCT T2.coachID FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID WHERE T1.tmID = 'STL' AND T1.lgID = 'NBA'	professional_basketball
SELECT COUNT(DISTINCT T2.coachID) FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID WHERE T1.tmID = 'CHI' AND T2.award = 'NBA Coach of the Year'	professional_basketball
SELECT T3.firstname, T3.lastname FROM player_allstar AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID INNER JOIN draft AS T3 ON T1.playerID = T3.playerID WHERE T2.year BETWEEN 1990 AND 2000 ORDER BY T1.points DESC LIMIT 1	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.college = 'Wake Forest' AND T2.o_rebounds > T2.d_rebounds	professional_basketball
SELECT T1.firstName, T1.lastName, T2.tmID FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Atlanta' ORDER BY T2.blocks DESC LIMIT 1	professional_basketball
SELECT T1.name FROM teams AS T1 INNER JOIN series_post AS T2 ON T1.tmID = T2.tmIDLoser AND T1.year = T2.year WHERE T1.rank < 5 AND T2.lgIDLoser > 2 AND T2.year BETWEEN 1980 AND 2000	professional_basketball
SELECT tmID FROM players_teams WHERE year BETWEEN 1991 AND 2000 ORDER BY CAST(points AS REAL) / minutes DESC LIMIT 1	professional_basketball
SELECT CAST(SUM(IIF(T2.lgID = 'ABA', 1970 - strftime('%Y', T3.birthDate), 0)) AS REAL) / COUNT(IIF(T2.lgID = 'ABA', 1, 0)) - CAST(SUM(IIF(T2.lgID = 'NBA', 1970 - strftime('%Y', T3.birthDate), 0)) AS REAL) / COUNT(IIF(T2.lgID = 'NBA', 1, 0)) FROM draft AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID INNER JOIN players AS T3 ON T2.playerID = T3.playerID WHERE T1.draftYear BETWEEN 1970 AND 1970	professional_basketball
SELECT playerID FROM players_teams WHERE year = 2011 ORDER BY GP DESC LIMIT 1	professional_basketball
SELECT COUNT(T2.playerID) FROM draft AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.draftYear = 1996 AND T1.draftRound = 1	professional_basketball
SELECT DISTINCT T3.tmID FROM players_teams AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID INNER JOIN teams AS T3 ON T1.tmID = T3.tmID AND T1.year = T3.year WHERE T2.year = 1997 AND T2.award = 'Finals MVP' LIMIT 1	professional_basketball
SELECT T2.W FROM teams AS T1 INNER JOIN series_post AS T2 ON T1.tmID = T2.tmIDLoser AND T1.year = T2.year WHERE T2.year = 2001 ORDER BY T1.o_fgm DESC LIMIT 1	professional_basketball
SELECT AVG(T2.turnovers) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 2003 GROUP BY T1.playerID, T2.assists ORDER BY T2.assists DESC LIMIT 1	professional_basketball
SELECT COUNT(T1.playerID) FROM player_allstar AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE first_name = 'Ray' AND last_name = 'Allen'	professional_basketball
SELECT (CAST(SUM(CASE WHEN T1.year = 2004 THEN T1.won ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.year = 2004 THEN T1.won + T1.lost ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.year = 2003 THEN T1.won ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.year = 2003 THEN T1.won + T1.lost ELSE 0 END)) FROM teams AS T1 INNER JOIN draft AS T2 ON T1.tmID = T2.tmID WHERE T2.draftRound = 1 AND T2.draftYear = 2003	professional_basketball
SELECT COUNT(T1.id) FROM awards_coaches AS T1 INNER JOIN teams AS T2 ON T1.year = T2.year WHERE T1.year BETWEEN 1971 AND 1975 AND T1.award = 'NBA Coach of the Year' AND T2.tmID = 'POR'	professional_basketball
SELECT CAST(SUM(IIF(T2.steals IS NOT NULL AND T1.tmID = 'LAL', 1, 0)) AS REAL) * 100 / COUNT(T1.tmID) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year	professional_basketball
SELECT T1.playerID FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1996 AND T2.PostGP = 0 ORDER BY T2.steals DESC LIMIT 1	professional_basketball
SELECT T2.playerID FROM players_teams AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID WHERE T1.PostGP = 0 AND T1.year = 1988 ORDER BY T1.turnovers DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.PostGP = 0 AND T1.year = 2000 ORDER BY CAST(T2.won AS REAL) / (T2.won + T2.lost) DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 1998 AND T1.PostGP = 0 ORDER BY T1.points DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.PostGP = 0 ORDER BY T2.won DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.PostGP = 0 AND T1.year = 1997 ORDER BY T1.rebounds DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM draft AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.draftYear = T2.year WHERE T1.draftRound = 1 AND T1.draftSelection = 6 AND T1.draftYear = 1976	professional_basketball
SELECT T2.homeWon FROM draft AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.draftYear = T2.year WHERE T1.draftRound = 1 AND T1.draftSelection = 12 AND T1.draftYear = 1998	professional_basketball
SELECT T1.weight, T1.height FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID ORDER BY T2.rebounds DESC LIMIT 1	professional_basketball
SELECT T2.highSchool FROM player_allstar AS T1 INNER JOIN players AS T2 ON T1.playerID = T2.playerID ORDER BY T1.rebounds DESC LIMIT 1	professional_basketball
SELECT T2.tmID FROM players_teams AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN player_allstar AS T3 ON T3.playerID = T1.playerID WHERE T3.season_id = 1997 ORDER BY T1.rebounds DESC LIMIT 1	professional_basketball
SELECT SUM(T2.points) FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T1.pos = 'C-F-G' GROUP BY T2.playerID, T2.year ORDER BY T2.year DESC LIMIT 1	professional_basketball
SELECT T1.tmID FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN players AS T3 ON T2.playerID = T3.playerID WHERE T3.pos = 'F-G' AND T2.lgID = 'NBA' ORDER BY T3.birthDate DESC LIMIT 1	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.lgID = 'PBLA' AND T2.GP = 10 AND T1.college = 'Central Missouri State' GROUP BY T1.firstName, T1.middleName, T1.lastName ORDER BY COUNT(T2.id) DESC LIMIT 1	professional_basketball
SELECT T1.tmID FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T2.GP = 82 AND T2.year = 2000 GROUP BY T1.tmID ORDER BY SUM(T2.PostMinutes) ASC LIMIT 1	professional_basketball
SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.GP = 82 AND T2.year = 1995 ORDER BY T2.turnovers DESC LIMIT 1	professional_basketball
SELECT T1.tmID FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 2011 AND T2.GP = T2.GS GROUP BY T1.tmID, T2.steals ORDER BY T2.steals DESC LIMIT 1	professional_basketball
SELECT DISTINCT T1.tmID FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T2.GP = T2.GS	professional_basketball
SELECT birthDate FROM players WHERE playerID = ( SELECT playerID FROM players_teams WHERE year = 2001 GROUP BY playerID ORDER BY SUM(rebounds + dRebounds) DESC LIMIT 1 )	professional_basketball
SELECT T1.name FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T2.year = 1997 GROUP BY T1.name ORDER BY SUM(rebounds + dRebounds) DESC LIMIT 1	professional_basketball
SELECT T1.tmID FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 2011 AND T2.rebounds > 600	professional_basketball
SELECT COUNT(id) FROM works WHERE Date < 1602	shakespeare
SELECT COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 1 AND T1.Title = 'Twelfth Night'	shakespeare
SELECT T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Twelfth Night' AND T2.Act = 1 AND T2.Scene = 2	shakespeare
SELECT SUM(IIF(T2.Act = 1, 1, 0)) - SUM(IIF(T2.Act = 5, 1, 0)) AS more FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Twelfth Night'	shakespeare
SELECT DISTINCT T1.Title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T4.CharName = 'Lord Abergavenny'	shakespeare
SELECT DISTINCT T4.CharName FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.Title = 'Twelfth Night'	shakespeare
SELECT SUM(T3.ParagraphNum) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T2.Act = 1 AND T2.Scene = 1 AND T1.Title = 'Twelfth Night'	shakespeare
SELECT T3.PlainText FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T2.Act = 1 AND T2.Scene = 1 AND T1.Title = 'Twelfth Night'	shakespeare
SELECT SUM(T1.ParagraphNum) FROM paragraphs AS T1 INNER JOIN characters AS T2 ON T1.character_id = T2.id WHERE T2.CharName = 'Lord Abergavenny'	shakespeare
SELECT T1.id FROM paragraphs AS T1 INNER JOIN characters AS T2 ON T1.character_id = T2.id WHERE T2.Description = 'son to Tamora'	shakespeare
SELECT COUNT(T2.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Description = 'OLIVIA’S house.' AND T1.Title = 'Twelfth Night'	shakespeare
SELECT COUNT(DISTINCT T4.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.Title = 'Twelfth Night'	shakespeare
SELECT T.Title FROM ( SELECT T1.Title, COUNT(T3.character_id) AS num FROM works T1 INNER JOIN chapters T2 ON T1.id = T2.work_id INNER JOIN paragraphs T3 ON T2.id = T3.chapter_id INNER JOIN characters T4 ON T3.character_id = T4.id GROUP BY T3.character_id, T1.Title ) T ORDER BY T.num DESC LIMIT 1	shakespeare
SELECT SUM(DISTINCT T4.id) / COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id	shakespeare
SELECT SUM(T2.Scene) / COUNT(T2.Act) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Twelfth Night'	shakespeare
SELECT COUNT(id) FROM works WHERE GenreType = 'Comedy'	shakespeare
SELECT MIN(Date) FROM works WHERE GenreType = 'Poem'	shakespeare
SELECT DISTINCT Abbrev FROM characters WHERE CharName = 'Earl of Westmoreland'	shakespeare
SELECT T1.Description FROM chapters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.chapter_id ORDER BY T2.ParagraphNum DESC LIMIT 1	shakespeare
SELECT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.PlainText = 'Would he do so, I''ld beg your precious mistress,Which he counts but a trifle.'	shakespeare
SELECT COUNT(DISTINCT T3.character_id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T1.Title = 'Titus Andronicus'	shakespeare
SELECT DISTINCT T1.Act FROM chapters AS T1 INNER JOIN works AS T2 ON T1.id = T1.work_id WHERE T2.LongTitle = 'Two Gentlemen of Verona'	shakespeare
SELECT T1.Description FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.id = '640171'	shakespeare
SELECT DISTINCT T1.Title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T4.CharName = 'Shylock'	shakespeare
SELECT COUNT(T2.Scene) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'King John'	shakespeare
SELECT COUNT(DISTINCT T2.chapter_id) FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'Demetrius'	shakespeare
SELECT T1.Title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T2.id = '324' AND T2.Description = 'friend to Caesar'	shakespeare
SELECT T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = '2' AND T2.Scene = '2' AND T1.Title = 'Midsummer Night''s Dream'	shakespeare
SELECT T.LongTitle FROM ( SELECT T1.LongTitle, COUNT(T2.Scene) AS num FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.GenreType = 'Tragedy' GROUP BY T1.LongTitle, T2.Scene ) AS T ORDER BY T.num DESC LIMIT 1	shakespeare
SELECT SUM(T2.ParagraphNum) FROM chapters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.chapter_id WHERE T1.Description = 'A Sea-port in Cyprus. An open place near the quay.'	shakespeare
SELECT CAST(SUM(IIF(T2.GenreType = 'Tragedy', 1, 0)) AS REAL) * 100 / COUNT(T1.Scene) FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T2.Date = '1594'	shakespeare
SELECT CAST(COUNT(T1.id) AS REAL) / COUNT(DISTINCT T2.id) FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T2.Date = '1599'	shakespeare
SELECT COUNT(id) FROM characters WHERE Description = 'servant to Timon'	shakespeare
SELECT Title FROM works WHERE Date = ( SELECT MIN(Date) FROM works )	shakespeare
SELECT COUNT(id) FROM works WHERE GenreType = 'Poem'	shakespeare
SELECT COUNT(id) FROM chapters WHERE work_id = 7 AND Act = 1	shakespeare
SELECT COUNT(id) FROM works WHERE GenreType = 'Tragedy' AND Date BETWEEN 1500 AND 1599	shakespeare
SELECT CharName FROM characters WHERE Description = 'Daughter to Capulet'	shakespeare
SELECT ParagraphNum FROM paragraphs WHERE PlainText = 'Ay, surely, mere the truth: I know his lady.'	shakespeare
SELECT T2.LongTitle FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T1.Act = 1 ORDER BY T1.Scene DESC LIMIT 1	shakespeare
SELECT T2.Description FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id ORDER BY T1.ParagraphNum DESC LIMIT 1	shakespeare
SELECT T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.LongTitle = 'Twelfth Night, Or What You Will' AND T2.Scene = 2 AND T2.Act = 2	shakespeare
SELECT DISTINCT T2.Description FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id WHERE T1.ParagraphNum < 150	shakespeare
SELECT T2.Title FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T1.Description = 'A field near Windsor.'	shakespeare
SELECT T1.ParagraphNum FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id WHERE T2.Act = 1 ORDER BY T2.Scene DESC LIMIT 1	shakespeare
SELECT T.CharName FROM ( SELECT T3.CharName, COUNT(T3.id) AS num FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id INNER JOIN characters AS T3 ON T1.character_id = T3.id WHERE T2.Description = 'The sea-coast.' AND T3.CharName != '(stage directions)' AND T1.chapter_id = 18709 GROUP BY T3.id, T3.CharName ) AS T WHERE T.num = 5	shakespeare
SELECT COUNT(T3.chapter_id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T1.Title = 'As You Like It' AND T3.ParagraphNum < 50	shakespeare
SELECT T1.character_id FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id WHERE T1.PlainText = 'His name, I pray you.' AND T2.Description = 'Florence. Without the walls. A tucket afar off.'	shakespeare
SELECT COUNT(DISTINCT T3.character_id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T1.Title = 'Hamlet'	shakespeare
SELECT SUM(T2.Scene) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 5 AND T1.LongTitle = 'History of Henry VIII'	shakespeare
SELECT COUNT(DISTINCT T2.work_id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 1 AND T2.Scene < 2 AND T1.GenreType = 'History'	shakespeare
SELECT SUM(DISTINCT T2.Act) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Sonnets'	shakespeare
SELECT T2.Description FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id INNER JOIN characters AS T3 ON T1.character_id = T3.id WHERE T3.Abbrev = '1Play' ORDER BY T1.chapter_id LIMIT 1	shakespeare
SELECT DISTINCT T1.Title, T1.GenreType FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 1	shakespeare
SELECT MAX(T2.ParagraphNum) FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'Sir Richard Ratcliff'	shakespeare
SELECT T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Act = 1 AND T2.Scene = 1 AND T1.Title = 'A Lover''s Complaint'	shakespeare
SELECT T1.Date, T1.id FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Scene = 154	shakespeare
SELECT CAST(SUM(T2.Scene) AS REAL) / COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.GenreType = 'Comedy'	shakespeare
SELECT SUM(IIF(T4.CharName = 'Romeo', 1, 0)), SUM(IIF(T4.CharName = 'Juliet', 1, 0)), CAST(SUM(IIF(T4.CharName = 'Romeo', 1, 0)) + SUM(IIF(T4.CharName = 'Juliet', 1, 0)) AS REAL) * 100 / COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id	shakespeare
SELECT ParagraphNum FROM paragraphs WHERE PlainText = 'This is Illyria, lady.'	shakespeare
SELECT COUNT(ParagraphNum) FROM paragraphs WHERE chapter_id = 18881	shakespeare
SELECT Title FROM works WHERE GenreType = 'History' LIMIT 5	shakespeare
SELECT COUNT(Scene) FROM chapters WHERE work_id = 9 AND Act = 5	shakespeare
SELECT DISTINCT T1.CharName, T1.Description FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.Chapter_id = 18710	shakespeare
SELECT COUNT(T2.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Midsummer Night''s Dream'	shakespeare
SELECT COUNT(T3.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id WHERE T2.Act = 5 AND T2.Scene = 1 AND T1.Title = 'Comedy of Errors'	shakespeare
SELECT DISTINCT T4.CharName, T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.Title = 'Venus and Adonis'	shakespeare
SELECT DISTINCT T1.title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T4.CharName = 'Froth'	shakespeare
SELECT COUNT(T2.chapter_id) FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'First Witch'	shakespeare
SELECT T2.Scene, T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.LongTitle = 'Pericles, Prince of Tyre' AND T2.Act = 1	shakespeare
SELECT DISTINCT T1.LongTitle FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T4.Description = 'Servant to Montague'	shakespeare
SELECT T2.Act, T2.Scene, T1.Title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Description = 'The house of ANTIPHOLUS of Ephesus.'	shakespeare
SELECT T1.CharName, T2.ParagraphNum, T2.PlainText FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.Description = 'cousin to the king'	shakespeare
SELECT CAST(SUM(T2.Scene) AS REAL) / COUNT(T2.act) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Antony and Cleopatra'	shakespeare
SELECT CAST(SUM(IIF(T1.Title = 'All''s Well That Ends Well', 1, 0)) AS REAL) * 100 / COUNT(T3.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id	shakespeare
SELECT COUNT(id) FROM characters WHERE Abbrev = 'All'	shakespeare
SELECT Title FROM works WHERE GenreType = 'comedy' LIMIT 3	shakespeare
SELECT SUM(IIF(GenreType = 'Comedy', 1, 0)) - SUM(IIF(GenreType = 'History', 1, 0)) FROM works WHERE Date > 1593	shakespeare
SELECT LongTitle FROM works WHERE GenreType = 'History' ORDER BY Date DESC LIMIT 1	shakespeare
SELECT id FROM works WHERE Title LIKE '%Henry%'	shakespeare
SELECT CharName FROM characters WHERE Description = 'a senator of Venice'	shakespeare
SELECT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.ParagraphNum = 8 AND T2.chapter_id = 18820	shakespeare
SELECT DISTINCT T3.Description FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id INNER JOIN chapters AS T3 ON T2.chapter_id = T3.id WHERE T1.CharName = 'Orsino' AND T3.ID = 18704	shakespeare
SELECT COUNT(T2.Scene) AS cnt FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.LongTitle = 'Cymbeline, King of Britain'	shakespeare
SELECT T1.Description FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.ParagraphNum = 20	shakespeare
SELECT COUNT(DISTINCT T2.chapter_id) FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'Gratiano' AND T1.Description = 'friend to Antonio and Bassiano'	shakespeare
SELECT T2.Description FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.id = 18706 AND T1.Title = 'All''s Well That Ends Well'	shakespeare
SELECT DISTINCT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.ParagraphNum = 3	shakespeare
SELECT T2.ParagraphNum FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'Aedile'	shakespeare
SELECT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.chapter_id = 18708 LIMIT 2	shakespeare
SELECT COUNT(T1.ACT) FROM chapters AS T1 LEFT JOIN works AS T2 ON T1.work_id = T2.id WHERE T2.GenreType = 'Comedy' AND T2.Title = 'Two Gentlemen of Verona'	shakespeare
SELECT CAST(( SELECT COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.GenreType = 'History' AND T1.DATE BETWEEN 1500 AND 1599 GROUP BY T1.id HAVING COUNT(T2.Scene) >= 5 ) AS REAL) * 100 / COUNT(id) FROM works WHERE GenreType = 'History' AND DATE BETWEEN 1500 AND 1599	shakespeare
SELECT CAST(SUM(IIF(T2.act = 5, 1, 0)) AS REAL) * 100 / COUNT(T2.act) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Titus Andronicus'	shakespeare
SELECT COUNT(id) FROM works WHERE GenreType = 'Tragedy'	shakespeare
SELECT COUNT(id) FROM works WHERE Title LIKE '%Henry%'	shakespeare
SELECT character_id FROM paragraphs WHERE PlainText = 'O my poor brother! and so perchance may he be.'	shakespeare
SELECT T2.ParagraphNum, T2.id FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T1.CharName = 'Sir Andrew Aguecheek'	shakespeare
SELECT T1.Title, T4.CharName FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id ORDER BY T1.Date DESC LIMIT 1	shakespeare
SELECT T1.description FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.PlainText = 'a sea captain, friend to Sebastian' AND T2.ParagraphNum BETWEEN 1500 AND 1950	shakespeare
SELECT T1.LongTitle FROM works AS T1 RIGHT JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T2.Description = 'Mytilene. A street before the brothel.'	shakespeare
SELECT T1.CharName FROM characters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.character_id WHERE T2.PlainText = 'This is Illyria, lady.'	shakespeare
SELECT COUNT(DISTINCT T2.work_id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.DATE BETWEEN 1600 AND 1610 AND T4.CharName = 'Third Servingman'	shakespeare
SELECT T2.Description FROM works AS T1 RIGHT JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.Title = 'Venus and Adonis' ORDER BY T2.Scene DESC LIMIT 1	shakespeare
SELECT COUNT(T4.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T2.Act = 1 AND T2.Scene = 2 AND T4.id = 1238 AND T4.CharName = 'Viola' AND T1.Title = 'Twelfth Night'	shakespeare
SELECT T2.character_id, T1.work_id FROM chapters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.chapter_id WHERE T2.PlainText = 'Fear not thou, man, thou shalt lose nothing here.'	shakespeare
SELECT T1.id, T1.Description FROM chapters AS T1 INNER JOIN paragraphs AS T2 ON T1.id = T2.chapter_id WHERE T2.PlainText = 'What, wilt thou hear some music, my sweet love?'	shakespeare
SELECT DISTINCT T2.Scene FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.Title = 'Twelfth Night' AND T4.CharName = 'Sir Toby Belch'	shakespeare
SELECT DISTINCT T1.title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.DATE < 1600 AND T1.GenreType = 'Tragedy' AND T4.CharName = 'Tybalt'	shakespeare
SELECT T2.id FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id WHERE T1.DATE > ( SELECT AVG(DATE) FROM works ) * 0.89	shakespeare
SELECT CAST(SUM(IIF(T4.CharName = 'antonio', 1, 0)) AS REAL) * 100 / COUNT(T1.id) FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.GenreType = 'Comedy'	shakespeare
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.cylinders = 8 ORDER BY T2.price DESC LIMIT 1	cars
SELECT COUNT(T1.car_name) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.weight > 3000 AND T2.price < 30000	cars
SELECT T1.acceleration FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'ford torino'	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'ford torino' AND T2.model_year = 1970	cars
SELECT COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T1.model_year = 1970 AND T2.country = 'USA'	cars
SELECT DISTINCT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T2.country = T3.origin WHERE T3.country = 'USA'	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 3	cars
SELECT DISTINCT T1.model_year FROM production AS T1 INNER JOIN data AS T2 ON T1.ID = T2.ID WHERE T2.car_name = 'chevrolet impala'	cars
SELECT COUNT(*) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.acceleration > 10 AND T2.price BETWEEN 20000 AND 30000	cars
SELECT T1.weight FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price > 40000	cars
SELECT MAX(T1.acceleration) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price > 40000	cars
SELECT AVG(T2.price) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.cylinders = 8	cars
SELECT MAX(T1.displacement / T1.cylinders) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price < 30000	cars
SELECT COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'Europe'	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'chevrolet malibu'	cars
SELECT T1.mpg FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1	cars
SELECT DISTINCT T2.country FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T1.ID = 382	cars
SELECT T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.price = 44274.40748	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'volkswagen dasher' AND T1.acceleration = '14.1'	cars
SELECT T1.displacement FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = '37443.85589'	cars
SELECT T1.model FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = '32650.65157'	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'toyota corona hardtop'	cars
SELECT T1.cylinders FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY price ASC LIMIT 1	cars
SELECT T1.ID, T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.horsepower DESC LIMIT 1	cars
SELECT CAST(SUM(CASE WHEN T2.country = 'Japan' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin	cars
SELECT T1.displacement / T1.cylinders FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = 34538.97449	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1	cars
SELECT COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'USA' AND T1.model_year = 1981	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T1.displacement / T1.cylinders DESC LIMIT 1	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan' ORDER BY T1.horsepower DESC LIMIT 1	cars
SELECT COUNT(T2.model_year) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'ford maverick'	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.mpg DESC LIMIT 1	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name LIKE 'dodge%' ORDER BY T2.price ASC LIMIT 1	cars
SELECT T4.car_name FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'USA' ORDER BY T1.price DESC LIMIT 1	cars
SELECT COUNT(*) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.displacement > 400 AND T2.price > 30000	cars
SELECT T1.model_year FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'Europe' GROUP BY T1.model_year ORDER BY COUNT(T1.model_year) DESC LIMIT 1	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'peugeot 505s turbo diesel'	cars
SELECT T4.acceleration FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'USA' ORDER BY T1.price ASC LIMIT 1	cars
SELECT T2.country, CAST(COUNT(T1.ID) AS REAL) / COUNT(DISTINCT T1.model_year) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin GROUP BY T2.country ORDER BY COUNT(T2.country) DESC LIMIT 1	cars
SELECT CAST(SUM(CASE WHEN T3.country = 'Japan' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.displacement / T1.cylinders > 30	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T2.model_year = 1975	cars
SELECT AVG(T1.price) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Europe'	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.ID = 15	cars
SELECT COUNT(*) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'Japan' AND T4.weight < 3000	cars
SELECT COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T2.model_year = 1973 AND T1.horsepower < 100	cars
SELECT T4.ID FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'Japan' AND T1.price > 3500 AND T4.acceleration = 14	cars
SELECT T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1	cars
SELECT T1.horsepower, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'subaru dl'	cars
SELECT T4.car_name FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T3.country = 'Japan' ORDER BY T1.price DESC LIMIT 1	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = 20000	cars
SELECT COUNT(*) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'USA' AND T1.price > 40000	cars
SELECT DISTINCT T1.price, T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN data AS T4 ON T4.ID = T1.ID WHERE T4.car_name = 'ford maverick'	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price * 100 > ( SELECT AVG(price) * 85 FROM price )	cars
SELECT SUM(CASE WHEN T2.model_year = 1970 THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.model_year = 1976 THEN 1 ELSE 0 END) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.horsepower = 130	cars
SELECT T1.ID FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin WHERE T2.country = 'Japan' AND T1.model_year = 1979	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.mpg ASC LIMIT 1	cars
SELECT T1.car_name, T1.model, T1.displacement / T1.cylinders, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1	cars
SELECT T1.car_name, T1.horsepower FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year = 1977 AND T3.country = 'Europe'	cars
SELECT T1.car_name, T1.model FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'chevrolet bel air'	cars
SELECT AVG(T1.price) FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan'	cars
SELECT T3.country FROM price AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country ORDER BY T1.price ASC LIMIT 1	cars
SELECT T1.ID, T1.car_name, T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year = 1975 ORDER BY T1.cylinders DESC LIMIT 1	cars
SELECT T1.acceleration, T1.cylinders, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN price AS T3 ON T3.ID = T2.ID ORDER BY T3.price ASC LIMIT 1	cars
SELECT T2.car_name, T1.price FROM price AS T1 INNER JOIN data AS T2 ON T1.ID = T2.ID WHERE T2.model = 82 AND T2.mpg > 30	cars
SELECT COUNT(DISTINCT T2.model_year) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'ford maverick'	cars
SELECT CAST(SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM production AS T1 INNER JOIN country AS T2 ON T1.country = T2.origin	cars
SELECT CAST(COUNT(T1.ID) AS REAL) / 9 FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 UNION ALL SELECT DISTINCT T2.car_name FROM production AS T1 INNER JOIN data AS T2 ON T2.ID = T1.ID WHERE T1.model_year BETWEEN 1971 AND 1980 AND T2.weight < 1800	cars
SELECT AVG(T2.price) FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.model = 70	cars
SELECT T2.price FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'chevrolet vega 2300'	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.car_name = 'chevy c20'	cars
SELECT DISTINCT T3.price FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN price AS T3 ON T3.ID = T2.ID WHERE T1.car_name LIKE 'ford%' AND T2.model_year BETWEEN 1970 AND 1980	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T2.model_year = '1975' ORDER BY T1.mpg DESC LIMIT 1	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T1.mpg DESC, T2.price DESC LIMIT 1	cars
SELECT COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'USA' AND T1.acceleration < 12	cars
SELECT COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan' AND T1.weight > 2000	cars
SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1	cars
SELECT T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'buick skylark 320'	cars
SELECT T3.country FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country INNER JOIN price AS T4 ON T4.ID = T1.ID WHERE T2.model_year = 1970 ORDER BY T4.price DESC LIMIT 1	cars
SELECT COUNT(T2.model_year) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.horsepower > 200 AND T2.model_year = 1975	cars
SELECT CAST(SUM(CASE WHEN T3.country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country	cars
SELECT AVG(T1.weight) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T2.model_year BETWEEN 1975 AND 1980 AND T1.cylinders = 4 AND T3.country = 'Japan'	cars
SELECT SUM(donation_total) FROM donations WHERE donation_timestamp LIKE '2012%'	donor
SELECT donation_timestamp, donation_total FROM donations WHERE donation_total = ( SELECT donation_total FROM donations ORDER BY donation_total DESC LIMIT 1 )	donor
SELECT SUM(donation_total) FROM donations WHERE donation_timestamp LIKE '2011%' AND via_giving_page = 't' AND for_honoree = 't'	donor
SELECT donor_acctid, donation_optional_support / donation_total FROM donations WHERE is_teacher_acct = 'f'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_subject = 'Literacy'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level LIKE 'highest%'	donor
SELECT T2.primary_focus_subject FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Toot Your Flute!'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_message LIKE 'Donation on behalf of Matt Carpenter because I''m a strong believer in education.'	donor
SELECT T1.title, T2.total_price_excluding_optional_support FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.students_reached = 320	donor
SELECT T2.donation_message, T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donor_city = 'Texas City'	donor
SELECT T1.vendor_name, T1.item_name, T1.item_unit_price FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN essays AS T3 ON T2.projectid = T3.projectid WHERE T3.title = 'Lights, Camera, Action!'	donor
SELECT SUM(T2.donation_to_project) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Whistle While We Work!'	donor
SELECT T1.title, T1.short_description FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_ny_teaching_fellow = 't'	donor
SELECT DISTINCT T2.title, T1.total_price_excluding_optional_support FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached >= 600 AND T1.poverty_level LIKE 'moderate poverty'	donor
SELECT CAST(SUM(CASE WHEN T2.school_metro = 'rural' THEN T1.donation_to_project ELSE 0 END) AS REAL) * 100 / SUM(donation_to_project) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid	donor
SELECT T1.title, SUM(T3.donation_to_project), CAST((T2.total_price_excluding_optional_support - SUM(T3.donation_to_project)) AS REAL) * 100 / SUM(T3.donation_to_project) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid ORDER BY T2.total_price_excluding_optional_support DESC LIMIT 1	donor
SELECT COUNT(poverty_level) FROM projects WHERE school_district = 'West New York School District' AND poverty_level = 'highest poverty'	donor
SELECT COUNT(donationid) FROM donations WHERE is_teacher_acct = 't' AND donor_state = 'CO'	donor
SELECT projectid FROM projects ORDER BY total_price_including_optional_support DESC LIMIT 1	donor
SELECT DISTINCT donor_state FROM donations WHERE for_honoree = 't' AND payment_included_campaign_gift_card = 't' AND payment_method = 'paypal' AND donor_state = ( SELECT donor_state FROM donations GROUP BY donor_state ORDER BY SUM(donation_total) DESC LIMIT 1 )	donor
SELECT donationid, donation_total FROM donations ORDER BY donation_total DESC LIMIT 1	donor
SELECT T1.projectid, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T2.total_price_including_optional_support - T2.total_price_excluding_optional_support DESC LIMIT 1	donor
SELECT DISTINCT T1.item_name, T1.item_quantity, T2.teacher_prefix FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.projectid = 'd6ef27c07c30c81f0c16c32b6acfa2ff'	donor
SELECT SUM(T1.total_price_including_optional_support) FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title = 'Recording Rockin'' Readers'	donor
SELECT T1.school_latitude, T1.school_longitude FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title = 'Smile for the Camera!!!'	donor
SELECT T2.donation_total, T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_total = ( SELECT MAX(donation_total) FROM donations )	donor
SELECT project_resource_type FROM ( SELECT T1.donor_acctid, T3.project_resource_type FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN resources AS T3 ON T2.projectid = T3.projectid ORDER BY T1.donation_total DESC LIMIT 10 ) GROUP BY project_resource_type ORDER BY COUNT(project_resource_type) DESC LIMIT 1	donor
SELECT T2.date_posted, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.date_posted = ( SELECT date_posted FROM projects ORDER BY date_posted ASC LIMIT 1 )	donor
SELECT DISTINCT T1.vendor_name FROM resources AS T1 INNER JOIN essays AS T3 ON T1.projectid = T3.projectid WHERE T3.title = 'iMath'	donor
SELECT T2.date_posted, T2.grade_level FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T1.item_quantity DESC LIMIT 1	donor
SELECT AVG(T3.donation_to_project) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Recording Rockin'' Readers'	donor
SELECT T1.title, T3.donor_acctid, CAST(T3.donation_to_project AS REAL) / T2.total_price_excluding_optional_support FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid ORDER BY T3.donation_to_project DESC LIMIT 1	donor
SELECT T1.school_state, T2.donor_acctid, AVG(T2.donation_optional_support), T1.resource_type FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid ORDER BY T2.donation_optional_support DESC LIMIT 5	donor
SELECT T1.projectid, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_city LIKE 'Brooklyn' GROUP BY T1.item_name ORDER BY COUNT(T1.item_name) DESC LIMIT 1	donor
SELECT COUNT(T2.schoolid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.resource_type = 'Books' AND T2.school_metro = 'urban'	donor
SELECT T2.schoolid FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name LIKE 'Amazon' GROUP BY T2.schoolid ORDER BY COUNT(T1.vendor_name) DESC LIMIT 1	donor
SELECT COUNT(T2.schoolid) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.donor_city = 'Los Angeles' AND T2.school_city NOT LIKE 'Los Angeles'	donor
SELECT T2.teacher_prefix FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Reading About Other Cultures'	donor
SELECT T2.students_reached FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Fit Firsties!'	donor
SELECT T1.title, T3.donor_acctid FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T2.school_city LIKE 'Chicago'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_prefix LIKE 'Dr.' AND T2.students_reached > 300	donor
SELECT DISTINCT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_subject LIKE 'Literacy'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.projectid = ( SELECT projectid FROM resources ORDER BY item_unit_price * item_quantity DESC LIMIT 1 )	donor
SELECT COUNT(donationid) FROM donations WHERE is_teacher_acct = 't' AND donor_city = 'New York'	donor
SELECT COUNT(donationid) FROM donations WHERE for_honoree = 't' AND donor_state = 'NJ'	donor
SELECT donation_message FROM donations WHERE donationid = 'a84dace1ff716f6f0c7af8ef9090a5d5'	donor
SELECT DISTINCT project_resource_type FROM resources WHERE vendor_name = 'Lakeshore Learning Materials'	donor
SELECT item_name FROM resources WHERE vendor_name = 'Lakeshore Learning Materials' ORDER BY item_quantity DESC LIMIT 1	donor
SELECT COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.teacher_ny_teaching_fellow = 't' AND T2.donor_city = 'New York'	donor
SELECT COUNT(T1.projectid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Lakeshore Learning Materials' AND T2.teacher_prefix = 'Dr.'	donor
SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level = 'highest poverty'	donor
SELECT T2.schoolid FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Lakeshore Learning Materials' ORDER BY T2.fulfillment_labor_materials DESC LIMIT 1	donor
SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T2.total_price_including_optional_support - T2.total_price_including_optional_support DESC LIMIT 1	donor
SELECT SUM(T2.donation_total) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn'	donor
SELECT T2.donation_message FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn' AND T1.school_magnet = 't'	donor
SELECT COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.payment_included_acct_credit = 't' AND T1.school_year_round = 't'	donor
SELECT SUM(T2.dollar_amount) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.primary_focus_area = 'Literacy & Language'	donor
SELECT T2.donor_acctid FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.primary_focus_area = 'Literacy & Language' ORDER BY T2.donation_total DESC LIMIT 1	donor
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area = 'Literacy & Language' AND T1.project_resource_type = 'Supplies' ORDER BY T1.item_quantity DESC LIMIT 1	donor
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area = 'Literacy & Language' ORDER BY T1.item_unit_price DESC LIMIT 1	donor
SELECT SUM(T2.donation_total) / COUNT(donationid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Brooklyn'	donor
SELECT DISTINCT donor_city FROM donations WHERE donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'	donor
SELECT DISTINCT is_teacher_acct FROM donations WHERE donor_acctid = '22cbc920c9b5fa08dfb331422f5926b5'	donor
SELECT CASE WHEN teacher_prefix = 'Dr.' THEN 'Yes' ELSE 'NO' END FROM projects WHERE teacher_acctid = '42d43fa6f37314365d08692e08680973'	donor
SELECT teacher_ny_teaching_fellow end FROM projects WHERE teacher_acctid = '42d43fa6f37314365d08692e08680973'	donor
SELECT T2.title FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city LIKE 'Abington'	donor
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_acctid = '822b7b8768c17456fdce78b65abcc18e'	donor
SELECT COUNT(T1.schoolid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_magnet = 't' AND T2.payment_included_acct_credit = 'f'	donor
SELECT DISTINCT T1.project_resource_type FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T3.donationid LIKE 'b39547f29dfc25fb13c6e9e8d940dc43'	donor
SELECT CAST(SUM(CASE WHEN T1.project_resource_type = 'Books' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.projectid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_magnet = 't'	donor
SELECT COUNT(T2.schoolid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_magnet = 't' AND T1.vendor_name = 'ABC School Supply'	donor
SELECT COUNT(T1.schoolid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.poverty_level = 'highest poverty' AND T2.donor_acctid = '000eebf28658900e63b538cf8a73afbd'	donor
SELECT T2.short_description FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.schoolid = '301c9bf0a45d159d162b65a93fddd74e'	donor
SELECT T1.school_city FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'iMath'	donor
SELECT T2.payment_method FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.teacher_acctid = '822b7b8768c17456fdce78b65abcc18e'	donor
SELECT T2.donation_total FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.teacher_acctid = '822b7b8768c17456fdce78b65abcc18e'	donor
SELECT T2.is_teacher_acct FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.schoolid = 'd4af834b1d3fc8061e1ee1b3f1a77b85'	donor
SELECT CAST(SUM(CASE WHEN T1.school_city LIKE 'Brooklyn' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.teacher_acctid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.is_teacher_acct = 't'	donor
SELECT CAST(SUM(CASE WHEN T1.students_reached > 30 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.projectid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.is_teacher_acct = 't'	donor
SELECT COUNT(schoolid) FROM projects WHERE school_city = 'Bethlehem' AND school_metro = 'suburban'	donor
SELECT COUNT(school_year_round) FROM projects WHERE school_city = 'Los Angeles' AND school_year_round = 't'	donor
SELECT COUNT(schoolid) FROM projects WHERE school_county = 'New York (Manhattan)' AND school_magnet = 't'	donor
SELECT COUNT(teacher_acctid) FROM projects WHERE school_county = 'Twin Falls' AND primary_focus_area = 'Math & Science'	donor
SELECT COUNT(teacher_acctid) FROM projects WHERE teacher_prefix = 'Mr.' AND primary_focus_subject = 'Literature & Writing'	donor
SELECT COUNT(projectid) FROM projects WHERE school_district = 'Boston Public School District' AND grade_level = 'Grades 3-5'	donor
SELECT T2.school_city FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'ABC Read'	donor
SELECT T2.teacher_prefix FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Creating Memories and Inspiring Dreams%'	donor
SELECT T2.is_teacher_acct FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Calculate, Financial Security For Tomorrow Starts Today! '	donor
SELECT T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_message LIKE 'Donation on behalf of Matt Carpenter because I''m a strong believer in education.'	donor
SELECT SUM(T2.donation_total) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'A Rug For Reaching Readers'	donor
SELECT SUM(T2.donation_to_project) + SUM(T2.donation_optional_support) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Engaging Young Readers with a Leveled Classroom Library '	donor
SELECT T2.donation_optional_support FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Armenian Genocide'	donor
SELECT T1.short_description FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_timestamp LIKE '2012-09-06 14:44:29'	donor
SELECT T2.donation_included_optional_support FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'I Can''t See It...Can You Help Me???'	donor
SELECT T1.teacher_acctid FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_timestamp LIKE '2008-07-29 11:38:43.361'	donor
SELECT T2.schoolid FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Virtual Aquarium Needs Help!'	donor
SELECT T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_total = ( SELECT MAX(donation_total) FROM donations )	donor
SELECT CAST(SUM(T2.donation_optional_support) AS REAL) * 100 / SUM(T2.donation_total) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Awesome Audiobooks Make Avid Readers'	donor
SELECT CAST(SUM(CASE WHEN T2.payment_method LIKE 'creditcard' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(donationid) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Bringing Drama to Life'	donor
SELECT short_description FROM essays WHERE title = 'Future Einsteins Of America'	donor
SELECT need_statement FROM essays WHERE title = 'Family History Project'	donor
SELECT COUNT(projectid) FROM projects WHERE school_district = 'Livingston Parish School Dist' AND school_metro = 'suburban'	donor
SELECT DISTINCT vendor_name FROM resources WHERE item_name = 'Classroom Keepers Management Center'	donor
SELECT DISTINCT project_resource_type FROM resources WHERE vendor_name = 'Sax Arts & Crafts'	donor
SELECT school_county FROM projects WHERE poverty_level = 'low poverty' AND school_state = 'NY' GROUP BY school_state ORDER BY COUNT(poverty_level) DESC LIMIT 1	donor
SELECT T1.school_district FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Future Einsteins Of America'	donor
SELECT T3.payment_method FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Needed Resource Materials For My Students'	donor
SELECT COUNT(T1.projectid) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.payment_method = 'creditcard' AND T2.school_district = 'Memphis City School District'	donor
SELECT T2.school_district FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Barnes and Noble'	donor
SELECT T2.school_latitude, T2.school_longitude FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.item_name = 'R & A Plant Genetics' AND T1.vendor_name = 'Benchmark Education'	donor
SELECT T1.payment_method FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_state = 'GA' GROUP BY T2.school_state ORDER BY COUNT(T1.payment_method) DESC LIMIT 1	donor
SELECT T2.school_latitude, T2.school_longitude, T2.resource_type FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Look, Look, We Need a Nook!'	donor
SELECT T1.donation_message FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_latitude = 40.735332 AND T2.school_longitude = -74.196014 AND T2.school_district = 'Newark School District'	donor
SELECT T1.date_posted FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Lets Share Ideas'	donor
SELECT T3.donation_message FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Lets Share Ideas' AND T3.payment_method = 'creditcard'	donor
SELECT T1.project_resource_type FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_district = 'Los Angeles Unif Sch Dist' GROUP BY T2.school_district ORDER BY COUNT(T1.project_resource_type) DESC LIMIT 1	donor
SELECT T2.school_city FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_district = 'Los Angeles Unif Sch Dist' AND T1.vendor_name = 'Quill.com'	donor
SELECT T2.item_unit_price * T2.item_quantity price, T1.school_latitude, T1.school_longitude FROM projects AS T1 INNER JOIN resources AS T2 ON T1.projectid = T2.projectid WHERE T2.vendor_name = 'ABC School Supply' AND T2.project_resource_type = 'Other' AND T1.school_district = 'Hillsborough Co Pub Sch Dist'	donor
SELECT SUM(T3.donation_total), school_city, poverty_level FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Lets Share Ideas' AND T3.payment_method = 'paypal'	donor
SELECT COUNT(donationid) FROM donations WHERE donor_city = 'Pocatello' AND is_teacher_acct = 'f'	donor
SELECT COUNT(schoolid) FROM projects WHERE teacher_prefix = 'Dr.' AND school_county = 'Suffolk'	donor
SELECT SUM(donation_to_project) + SUM(donation_optional_support) FROM donations WHERE payment_method = 'amazon'	donor
SELECT COUNT(donationid) FROM donations WHERE dollar_amount = '100_and_up' AND for_honoree = 't'	donor
SELECT vendorid FROM resources WHERE project_resource_type = 'Technology' AND item_unit_price <= 15	donor
SELECT COUNT(projectid) FROM resources WHERE vendor_name = 'Quill.com' AND item_quantity BETWEEN 5 AND 10	donor
SELECT schoolid FROM projects WHERE school_district = 'Union Pub School District I-9' AND teacher_ny_teaching_fellow = 't'	donor
SELECT school_city FROM projects WHERE school_metro = 'suburban' AND school_county = 'Los Angeles'	donor
SELECT DISTINCT vendorid, projectid FROM resources WHERE project_resource_type = 'Books'	donor
SELECT CAST(SUM(CASE WHEN payment_included_campaign_gift_card = 't' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(donationid) FROM donations WHERE payment_method = 'no_cash_received'	donor
SELECT CAST(SUM(CASE WHEN school_metro = 'suburban' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(projectid) FROM projects WHERE school_city = 'Santa Barbara'	donor
SELECT payment_method , CAST(COUNT(donationid) AS REAL) * 100 / 51090 FROM donations WHERE donation_timestamp LIKE '2013-03%' GROUP BY payment_method	donor
SELECT SUM(item_unit_price) / SUM(item_quantity) FROM resources WHERE vendor_name = 'AKJ Books'	donor
SELECT COUNT(T2.schoolid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T2.school_city = 'Brooklyn' AND T2.school_metro = 'urban' AND T3.for_honoree = 't' AND T1.item_name = 'TT992 - Refill Pack for Safety Name Tags'	donor
SELECT COUNT(T1.schoolid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.payment_included_campaign_gift_card = 't' AND T1.poverty_level = 'highest poverty'	donor
SELECT T2.school_city FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.dollar_amount = 'under_10' GROUP BY T2.school_city ORDER BY COUNT(T2.schoolid) DESC LIMIT 1	donor
SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_latitude = 42003718 AND T2.school_longitude = -87668289	donor
SELECT T2.teacher_ny_teaching_fellow FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Team More Books!'	donor
SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area LIKE 'Literacy%' GROUP BY T1.vendor_name ORDER BY COUNT(T2.primary_focus_area) DESC LIMIT 1	donor
SELECT DISTINCT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.grade_level = 'Grades 9-12'	donor
SELECT COUNT(DISTINCT T2.teacher_acctid) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.is_teacher_acct = 't' AND T2.school_city = 'Chicago'	donor
SELECT COUNT(DISTINCT T1.teacher_acctid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_city = 'Rock Hill' AND is_teacher_acct = 't'	donor
SELECT SUM(T2.dollar_amount) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached > 300 AND t2.donation_included_optional_support = 't'	donor
SELECT SUM(T1.item_quantity) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.school_metro = 'urban' AND T2.school_district = 'Onslow Co School District'	donor
SELECT SUM(T2.donation_optional_support + T2.donation_to_project) / COUNT(donationid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_county = 'Fresno'	donor
SELECT CAST(SUM(CASE WHEN T2.title LIKE 'ABC Read' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.school_county) FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid	donor
SELECT AVG(T1.item_quantity) FROM resources AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.for_honoree = 't'	donor
SELECT T1.date_posted FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Photojournalists Want to Exhibit Their Best Works'	donor
SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_subject = 'Mathematics' ORDER BY T1.item_unit_price DESC LIMIT 1	donor
SELECT T2.school_city, T2.school_latitude, T2.school_longitude FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.item_name = 'Viewscreen LCD FROM Texas Instruments, TI-84 Plus'	donor
SELECT SUM(T3.donation_total) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Look, Look, We Need a Nook!'	donor
SELECT DISTINCT T2.poverty_level FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.donor_zip = 7079	donor
SELECT T3.vendor_name FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN resources AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Bloody Times'	donor
SELECT T2.school_zip, T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name = 'Sax Arts & Crafts'	donor
SELECT T1.school_longitude, T1.school_latitude FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Wiping Away Bad Grades'	donor
SELECT DISTINCT T2.primary_focus_subject FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.payment_included_campaign_gift_card = 't'	donor
SELECT T1.item_name, T2.short_description FROM resources AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.project_resource_type = 'Books' ORDER BY T1.item_unit_price DESC LIMIT 1	donor
SELECT T1.grade_level FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T2.title LIKE 'Too Close for Comfort'	donor
SELECT SUM(T2.students_reached) FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.donor_zip = 22205	donor
SELECT CAST(SUM(CASE WHEN T1.via_giving_page = 't' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(donation_total), ( SELECT T2.primary_focus_area FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.via_giving_page = 't' GROUP BY T2.primary_focus_area ORDER BY SUM(T1.donation_total) DESC LIMIT 1 ) result FROM donations AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid	donor
SELECT CAST(SUM(CASE WHEN T1.vendor_name = 'Best Buy for Business' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.projectid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.project_resource_type = 'Technology' UNION ALL SELECT DISTINCT T1.date_posted FROM projects AS T1 INNER JOIN resources AS T2 ON T1.projectid = T2.projectid WHERE T2.vendor_name = 'Best Buy for Business' AND T2.project_resource_type = 'Technology'	donor
SELECT (SUM(CASE WHEN T.game_platform_id = 50 THEN T.num_sales ELSE 0 END) - SUM(CASE WHEN T.game_platform_id = 51 THEN T.num_sales ELSE 0 END)) * 100000 AS nums FROM region_sales AS T WHERE T.region_id = 1	video_games
SELECT T1.game_name FROM game AS T1 WHERE T1.genre_id = ( SELECT T.genre_id FROM game AS T WHERE T.game_name = '3D Lemmings' )	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Action'	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '3D Lemmings'	video_games
SELECT T3.publisher_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T1.game_name = '3D Lemmings'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T3.publisher_name = '10TACLE Studios'	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T4.genre_name = 'Puzzle' AND T3.publisher_name = '10TACLE Studios'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T3.publisher_name = '10TACLE Studios' AND T4.genre_name = 'Puzzle'	video_games
SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T2.id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T1.publisher_id ORDER BY COUNT(T2.id) DESC LIMIT 1 ) t	video_games
SELECT T5.platform_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN game AS T3 ON T1.game_id = T3.id INNER JOIN game_platform AS T4 ON T1.id = T4.game_publisher_id INNER JOIN platform AS T5 ON T4.platform_id = T5.id WHERE T3.game_name = 'Panzer Tactics' AND T4.release_year = 2007	video_games
SELECT T4.release_year FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN game AS T3 ON T1.game_id = T3.id INNER JOIN game_platform AS T4 ON T1.id = T4.game_publisher_id INNER JOIN platform AS T5 ON T4.platform_id = T5.id WHERE T3.game_name = 'Panzer Tactics' AND T5.platform_name = 'DS'	video_games
SELECT DISTINCT T3.publisher_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T4.genre_name = 'Puzzle'	video_games
SELECT T.publisher_name FROM ( SELECT T3.publisher_name, COUNT(DISTINCT T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T4.genre_name = 'Puzzle' GROUP BY T3.publisher_name ORDER BY COUNT(DISTINCT T1.id) DESC LIMIT 1 ) t	video_games
SELECT COUNT(T.publisher_name) FROM ( SELECT T3.publisher_name, COUNT(DISTINCT T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T4.genre_name = 'Puzzle' GROUP BY T3.publisher_name HAVING COUNT(DISTINCT T1.id) > 3 ) t	video_games
SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Sports' THEN T1.id ELSE NULL END) AS REAL) * 100/ COUNT(T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T3.publisher_name = 'Nintendo'	video_games
SELECT SUM(T1.num_sales) * 100000 / 4 FROM region_sales AS T1 INNER JOIN game_platform AS T2 ON T1.game_platform_id = T2.id INNER JOIN platform AS T3 ON T2.platform_id = T3.id WHERE T3.platform_name = 'DS'	video_games
SELECT DISTINCT T.game_id FROM game_publisher AS T WHERE T.publisher_id = 352	video_games
SELECT T.genre_id FROM game AS T WHERE T.game_name = 'Pro Evolution Soccer 2012'	video_games
SELECT T.id FROM region AS T WHERE T.region_name = 'Japan'	video_games
SELECT T1.game_platform_id FROM ( SELECT T.game_platform_id, SUM(T.num_sales) FROM region_sales AS T WHERE T.region_id = 2 GROUP BY T.game_platform_id ORDER BY SUM(T.num_sales) DESC LIMIT 1 ) T1	video_games
SELECT genre_id FROM ( SELECT T.genre_id, COUNT(T.id) FROM game AS T GROUP BY T.genre_id ORDER BY COUNT(T.id) DESC LIMIT 1 )	video_games
SELECT T.genre_id FROM game AS T WHERE T.game_name = 'Resident Evil Archives: Resident Evil'	video_games
SELECT COUNT(DISTINCT T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'X360' AND T2.release_year = 2010	video_games
SELECT T1.publisher_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = 'ModNation Racers'	video_games
SELECT T.game_platform_id FROM ( SELECT T2.game_platform_id, MAX(T2.num_sales) FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Japan' ) t	video_games
SELECT COUNT(T2.id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = 'Pro Evolution Soccer 2016'	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Sports'	video_games
SELECT T2.publisher_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T1.game_id = 10031	video_games
SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T2.publisher_name ORDER BY COUNT(DISTINCT T1.game_id) DESC LIMIT 1 ) t	video_games
SELECT COUNT(CASE WHEN T1.genre_name = 'Sports' THEN T2.id ELSE NULL END) - COUNT(CASE WHEN T1.genre_name = 'Simulation' THEN T2.id ELSE NULL END) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = 'Resident Evil: Revelations'	video_games
SELECT T2.num_sales * 100000 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Europe' AND T2.game_platform_id = 3871	video_games
SELECT COUNT(T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id WHERE T1.publisher_name = 'Ascaron Entertainment GmbH'	video_games
SELECT T2.platform_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id ORDER BY T1.release_year ASC LIMIT 1	video_games
SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Adventure' THEN T1.id ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id INNER JOIN genre AS T4 ON T1.genre_id = T4.id WHERE T3.publisher_name = 'Namco Bandai Games'	video_games
SELECT CAST(COUNT(CASE WHEN T1.publisher_name = 'Atari' THEN T2.game_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN T1.publisher_name = 'Athena' THEN T2.game_id ELSE NULL END) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id	video_games
SELECT COUNT(DISTINCT T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id WHERE T1.publisher_name = 'Electronic Arts'	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = 'Advent Rising'	video_games
SELECT COUNT(T3.id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Role-Playing' AND T1.publisher_name = 'Microsoft Game Studios'	video_games
SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T2.publisher_name ORDER BY COUNT(DISTINCT T1.game_id) DESC LIMIT 1 ) t	video_games
SELECT T4.platform_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T3.release_year = 2004 AND T1.publisher_name = 'Codemasters'	video_games
SELECT COUNT(DISTINCT T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'PS4' AND T2.release_year = 2014	video_games
SELECT DISTINCT T3.publisher_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id ORDER BY T1.release_year LIMIT 1	video_games
SELECT COUNT(T3.game_publisher_id) FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T4.platform_name = 'X360' AND T3.release_year = 2011 AND T1.region_name = 'Japan'	video_games
SELECT T.platform_name FROM ( SELECT T4.platform_name, SUM(T2.num_sales) FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T1.region_name = 'Europe' ORDER BY T2.num_sales DESC LIMIT 1 ) t	video_games
SELECT T.release_year FROM ( SELECT T2.release_year, COUNT(DISTINCT T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'PC' GROUP BY T2.release_year ORDER BY COUNT(DISTINCT T3.game_id) DESC LIMIT 1 ) t	video_games
SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T2.publisher_name HAVING COUNT(DISTINCT T1.game_id) = 1 ) t	video_games
SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = '505 Games'	video_games
SELECT T.genre_id FROM game AS T WHERE T.game_name = '25 to Life'	video_games
SELECT T.id FROM game AS T WHERE T.genre_id = 2	video_games
SELECT T.release_year FROM game_platform AS T WHERE T.id BETWEEN 1 AND 10	video_games
SELECT T.game_publisher_id FROM game_platform AS T WHERE T.platform_id = 15	video_games
SELECT T.id FROM game_platform AS T WHERE T.release_year BETWEEN 2000 AND 2003	video_games
SELECT T.num_sales * 100000 FROM region_sales AS T WHERE T.region_id = 2 AND T.game_platform_id = 9615	video_games
SELECT DISTINCT T1.platform_name FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id WHERE T2.release_year = 2016	video_games
SELECT T1.release_year FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = '3DS Classic Collection'	video_games
SELECT AVG(T2.num_sales) * 100000 AS avg_japan FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Japan'	video_games
SELECT DISTINCT T4.genre_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T1.release_year BETWEEN 2000 AND 2002	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T3.publisher_name = '3DO'	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Role-Playing'	video_games
SELECT DISTINCT T1.region_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T2.num_sales * 100000 > 300000	video_games
SELECT T.publisher_name FROM ( SELECT T5.publisher_name, SUM(T2.num_sales) * 100000 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN game_publisher AS T4 ON T3.game_publisher_id = T4.id INNER JOIN publisher AS T5 ON T4.publisher_id = T5.id WHERE T1.region_name = 'North America' GROUP BY T5.publisher_name ORDER BY SUM(T2.num_sales) * 100000 DESC LIMIT 1 ) t	video_games
SELECT T3.release_year FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id WHERE T2.num_sales * 100000 = 350000 AND T1.region_name = 'North America'	video_games
SELECT T1.platform_name FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = 'Counter Force'	video_games
SELECT T2.publisher_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T1.game_id = 75	video_games
SELECT T.game_name FROM ( SELECT T5.game_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN game_publisher AS T4 ON T3.game_publisher_id = T4.id INNER JOIN game AS T5 ON T4.game_id = T5.id WHERE T1.region_name = 'Japan' ORDER BY T2.num_sales DESC LIMIT 1 ) t	video_games
SELECT DISTINCT T5.publisher_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN game_publisher AS T4 ON T3.game_publisher_id = T4.id INNER JOIN publisher AS T5 ON T4.publisher_id = T5.id WHERE T2.num_sales * 10000000 > ( SELECT AVG(T2.num_sales) * 100000 * 90 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Japan' )	video_games
SELECT CAST(COUNT(CASE WHEN T1.platform_name = 'PSP' THEN T3.game_id ELSE NULL END) AS REAL) * 100 / COUNT(T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T2.release_year = 2004	video_games
SELECT COUNT(T.id) FROM game_platform AS T WHERE T.release_year = 1981	video_games
SELECT T.genre_id FROM game AS T WHERE T.game_name = '2Xtreme'	video_games
SELECT SUM(T.num_sales) * 100000 FROM region_sales AS T WHERE T.game_platform_id = 9658	video_games
SELECT T.id FROM publisher AS T WHERE T.publisher_name = '1C Company'	video_games
SELECT T.genre_name FROM genre AS T WHERE T.id = 3	video_games
SELECT T.id FROM game_platform AS T WHERE T.release_year = 2017	video_games
SELECT T3.release_year FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id WHERE T1.game_name = 'Adventure Island'	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Puzzle'	video_games
SELECT T4.game_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T2.platform_name = 'SCD'	video_games
SELECT COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T2.publisher_name = 'Acclaim Entertainment'	video_games
SELECT T3.publisher_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T1.game_name = 'Chronicles of the Sword'	video_games
SELECT SUM(T1.num_sales * 100000) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id INNER JOIN game_platform AS T3 ON T1.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T2.region_name = 'North America' AND T4.platform_name = 'PS4'	video_games
SELECT T.game_platform_id FROM ( SELECT T1.game_platform_id, SUM(T1.num_sales) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Europe' GROUP BY T1.game_platform_id ORDER BY SUM(T1.num_sales) DESC LIMIT 1 ) t	video_games
SELECT T3.game_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.release_year = 2011	video_games
SELECT COUNT(T1.id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id WHERE T2.platform_name = 'Wii'	video_games
SELECT T3.game_name, T1.release_year FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Sports' LIMIT 5	video_games
SELECT T2.id FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '2Xtreme'	video_games
SELECT T4.platform_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T1.game_name = 'Panzer Tactics'	video_games
SELECT (SUM(CASE WHEN T2.region_name = 'North America' THEN T1.num_sales ELSE 0 END) - AVG(T1.num_sales)) * 100.0 / AVG(T1.num_sales) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id WHERE T1.game_platform_id = 9577	video_games
SELECT T.game_name FROM game AS T ORDER BY LENGTH(T.game_name) DESC LIMIT 1	video_games
SELECT COUNT(T.id) FROM game_platform AS T WHERE T.release_year = 2001	video_games
SELECT SUM(T.num_sales) * 100000 FROM region_sales t	video_games
SELECT CAST(COUNT(T.game_id) AS REAL) / COUNT(DISTINCT T.publisher_id) FROM game_publisher AS T	video_games
SELECT MIN(T.release_year) FROM game_platform t	video_games
SELECT T.game_name FROM ( SELECT T2.game_name, COUNT(T2.id) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id GROUP BY T2.game_name ORDER BY COUNT(T2.id) ASC LIMIT 1 ) t	video_games
SELECT T1.publisher_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = 'Prism: Light the Way'	video_games
SELECT T1.platform_name FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id GROUP BY T2.release_year, T1.platform_name ORDER BY COUNT(DISTINCT T3.game_id) DESC	video_games
SELECT COUNT(*) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Europe' AND T1.num_sales = 0	video_games
SELECT T3.game_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.release_year = 2006	video_games
SELECT T1.genre_name FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id WHERE T2.game_name = 'Mario vs. Donkey Kong'	video_games
SELECT T.publisher_name FROM ( SELECT T1.publisher_name, COUNT(DISTINCT T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id GROUP BY T1.publisher_name ORDER BY COUNT(DISTINCT T2.game_id) DESC LIMIT 1 ) t	video_games
SELECT T2.game_name FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id WHERE T1.genre_name = 'Platform'	video_games
SELECT T2.release_year FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id WHERE T1.platform_name = 'WiiU' ORDER BY T2.release_year DESC LIMIT 1	video_games
SELECT T5.game_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN game_publisher AS T4 ON T3.game_publisher_id = T4.id INNER JOIN game AS T5 ON T4.game_id = T5.id WHERE T1.region_name = 'Japan' ORDER BY T2.num_sales DESC LIMIT 1	video_games
SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = 'Activision'	video_games
SELECT COUNT(DISTINCT T1.publisher_id) FROM game_publisher AS T1 INNER JOIN game AS T2 ON T1.game_id = T2.id WHERE T2.game_name LIKE 'Marvel%'	video_games
SELECT CAST(COUNT(CASE WHEN T1.genre_name = 'Sports' THEN T2.id ELSE NULL END) AS REAL) * 100 / COUNT(T2.id) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id	video_games
SELECT SUM(CASE WHEN T2.region_name = 'North America' THEN T1.num_sales ELSE 0 END) / SUM(CASE WHEN T2.region_name = 'Japan' THEN T1.num_sales ELSE 0 END) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id	video_games
SELECT T1.release_year FROM ( SELECT T.release_year, COUNT(id) FROM game_platform AS T GROUP BY T.release_year ORDER BY COUNT(T.id) DESC LIMIT 1 ) T1	video_games
SELECT COUNT(T.id) FROM publisher AS T WHERE T.publisher_name LIKE '%Interactive%'	video_games
SELECT T4.platform_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T1.region_name = 'North America' ORDER BY T2.num_sales DESC LIMIT 2	video_games
SELECT COUNT(DISTINCT T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id WHERE T3.release_year = 2012	video_games
SELECT T3.publisher_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T1.release_year = 2007 GROUP BY T3.publisher_name ORDER BY COUNT(DISTINCT T2.game_id) DESC LIMIT 1	video_games
SELECT COUNT(T2.publisher_id) FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id WHERE T1.game_name = 'Minecraft'	video_games
SELECT T.publisher_name FROM ( SELECT T4.publisher_name, COUNT(DISTINCT T2.id) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id INNER JOIN game_publisher AS T3 ON T2.id = T3.game_id INNER JOIN publisher AS T4 ON T3.publisher_id = T4.id WHERE T1.genre_name = 'Action' GROUP BY T4.publisher_name ORDER BY COUNT(DISTINCT T2.id) DESC LIMIT 1 ) t	video_games
SELECT COUNT(T3.id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Sports' AND T1.publisher_name = 'Nintendo'	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '2 Games in 1: Sonic Advance & ChuChu Rocket!'	video_games
SELECT COUNT(DISTINCT T2.id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN region_sales AS T3 ON T1.id = T3.game_platform_id INNER JOIN region AS T4 ON T3.region_id = T4.id WHERE T1.platform_name = 'DS' AND T4.region_name = 'Other' AND T3.num_sales > 0	video_games
SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = 'American Softworks'	video_games
SELECT COUNT(CASE WHEN T1.genre_name = 'Strategy' THEN T2.id ELSE NULL END) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id	video_games
SELECT T3.publisher_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T1.game_name = 'Overwatch'	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T2.id = T1.genre_id GROUP BY T2.genre_name ORDER BY COUNT(T1.genre_id) DESC LIMIT 1	video_games
SELECT T2.num_sales * 100000 AS nums_eur FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T2.game_platform_id = 26 AND T1.region_name = 'Europe'	video_games
SELECT COUNT(id) FROM game_platform AS T WHERE T.release_year = 2001	video_games
SELECT COUNT(*) FROM ( SELECT T.game_name FROM game AS T WHERE T.game_name LIKE '%Box%' )	video_games
SELECT T.game_platform_id, SUM(T.num_sales) * 100000 FROM region_sales AS T GROUP BY game_platform_id ORDER BY SUM(T.num_sales) * 100000 DESC LIMIT 3	video_games
SELECT T.release_year FROM game_platform AS T ORDER BY T.release_year ASC LIMIT 1	video_games
SELECT T.publisher_name FROM publisher AS T WHERE T.publisher_name LIKE '%Entertainment%'	video_games
SELECT T2.game_name FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id WHERE T1.genre_name = 'Adventure'	video_games
SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = 'Pioneer LDC'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T4.platform_name = 'SCD'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN region_sales AS T4 ON T3.id = T4.game_platform_id INNER JOIN region AS T5 ON T4.region_id = T5.id WHERE T5.region_name = 'Japan'	video_games
SELECT T4.genre_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T1.publisher_name = 'Agatsuma Entertainment'	video_games
SELECT COUNT(T2.id) FROM genre AS T1 INNER JOIN game AS T2 ON T1.id = T2.genre_id WHERE T1.genre_name NOT IN ('Role-Playing', 'Shooter', 'Simulation')	video_games
SELECT T.region_name FROM ( SELECT T1.platform_name, T4.region_name, SUM(T3.num_sales) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN region_sales AS T3 ON T1.id = T3.game_platform_id INNER JOIN region AS T4 ON T3.region_id = T4.id GROUP BY T1.platform_name, T4.region_name ORDER BY SUM(T3.num_sales) DESC LIMIT 1 ) t	video_games
SELECT T.publisher_name FROM ( SELECT T1.publisher_name, COUNT(T3.id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Puzzle' GROUP BY T1.publisher_name ORDER BY COUNT(T3.id) DESC LIMIT 1 ) t	video_games
SELECT T.game_name FROM ( SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN region_sales AS T4 ON T3.id = T4.game_platform_id ORDER BY T4.num_sales LIMIT 1 ) t	video_games
SELECT T1.publisher_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = 'Pachi-Slot Kanzen Kouryaku 3: Universal Koushiki Gaido Volume 3'	video_games
SELECT T5.region_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN region_sales AS T4 ON T3.id = T4.game_platform_id INNER JOIN region AS T5 ON T4.region_id = T5.id WHERE T1.game_name = 'Pengo'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id WHERE T3.release_year = '2010'	video_games
SELECT SUM(T3.num_sales * 100000) / COUNT(T1.id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN region_sales AS T3 ON T2.id = T3.game_platform_id WHERE T1.platform_name = 'PS2'	video_games
SELECT CAST(COUNT(CASE WHEN T1.publisher_name = 'Brash Entertainment' THEN T2.game_id ELSE NULL END) AS REAL) * 100 / COUNT(T2.game_id) FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id	video_games
SELECT SUM(T.num_sales * 100000) FROM region_sales AS T WHERE T.region_id = 1	video_games
SELECT COUNT(*) FROM ( SELECT T.game_name FROM game AS T WHERE T.game_name LIKE '%FIFA%' )	video_games
SELECT T.platform_name FROM ( SELECT T4.platform_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T1.region_name = 'Europe' ORDER BY T2.num_sales DESC LIMIT 1 ) t	video_games
SELECT T2.publisher_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN game AS T3 ON T1.game_id = T3.id WHERE T3.game_name = '2002 FIFA World Cup'	video_games
SELECT T2.platform_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = '3Xtreme'	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '2010 FIFA World Cup South Africa'	video_games
SELECT T.region_name FROM ( SELECT T2.region_name, SUM(T1.num_sales) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id INNER JOIN game_platform AS T3 ON T1.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id GROUP BY T4.platform_name ORDER BY SUM(T1.num_sales) DESC LIMIT 1 ) t	video_games
SELECT SUM(T1.num_sales * 100000) FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id INNER JOIN game_platform AS T3 ON T1.game_platform_id = T3.id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T2.region_name = 'Japan' AND T4.platform_name = 'PS3'	video_games
SELECT T3.game_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.release_year = 2007	video_games
SELECT COUNT(DISTINCT T3.id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN game AS T3 ON T1.game_id = T3.id WHERE T2.publisher_name = 'Activision'	video_games
SELECT DISTINCT T3.release_year FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id WHERE T2.num_sales * 100000 > 200000 AND T1.region_name = 'Japan'	video_games
SELECT COUNT(T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'PS3' AND T2.release_year = 2010	video_games
SELECT T.publisher_name FROM ( SELECT T2.publisher_name, COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id GROUP BY T2.publisher_name ORDER BY COUNT(DISTINCT T1.game_id) DESC LIMIT 1 ) t	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Shooter'	video_games
SELECT CAST(COUNT(CASE WHEN T2.platform_name = 'PS4' THEN T3.game_id ELSE NULL END) AS REAL) * 100 / COUNT(T3.game_id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id WHERE T1.release_year = 2014	video_games
SELECT SUM(T.num_sales) * 100000 FROM region_sales AS T WHERE T.region_id = 4	video_games
SELECT T.game_platform_id FROM region_sales AS T WHERE T.region_id = 1	video_games
SELECT SUM(CASE WHEN T.region_id = 2 THEN T.num_sales ELSE 0 END) - SUM(CASE WHEN T.region_id = 3 THEN T.num_sales ELSE 0 END) FROM region_sales t	video_games
SELECT DISTINCT T.platform_id FROM game_platform AS T WHERE T.release_year = 2007	video_games
SELECT T.game_publisher_id FROM game_platform AS T WHERE T.platform_id = 16	video_games
SELECT COUNT(T.game_publisher_id) FROM game_platform AS T WHERE T.release_year = 1984	video_games
SELECT T2.id FROM region_sales AS T1 INNER JOIN game_platform AS T2 ON T1.game_platform_id = T2.id WHERE T1.region_id = 3	video_games
SELECT SUM(CASE WHEN T2.region_name = 'Japan' THEN T1.num_sales ELSE 0 END) AS nums FROM region_sales AS T1 INNER JOIN region AS T2 ON T1.region_id = T2.id	video_games
SELECT COUNT(T1.game_publisher_id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id WHERE T2.platform_name = 'X360'	video_games
SELECT DISTINCT T2.platform_name FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id WHERE T1.release_year = 2000	video_games
SELECT COUNT(CASE WHEN T2.platform_name = 'PS3' THEN T1.game_publisher_id ELSE NULL END) - COUNT(CASE WHEN T2.platform_name = 'X360' THEN T1.game_publisher_id ELSE NULL END) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id	video_games
SELECT T1.game_id FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T2.publisher_name = 'Bethesda Softworks'	video_games
SELECT COUNT(DISTINCT T1.game_id) FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T2.publisher_name IN ('Capcom', 'Sony Computer Entertainment')	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = 'Grand Theft Auto V'	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Racing'	video_games
SELECT COUNT(T1.id) FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Fighting'	video_games
SELECT DISTINCT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id INNER JOIN game_publisher AS T3 ON T1.id = T3.game_id WHERE T3.publisher_id = 464	video_games
SELECT T4.platform_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN platform AS T4 ON T3.platform_id = T4.id WHERE T1.game_name = 'Final Fantasy XIII-2'	video_games
SELECT SUM(T1.num_sales) FROM region_sales AS T1 INNER JOIN game_platform AS T2 ON T1.game_platform_id = T2.id WHERE T2.release_year = 2000	video_games
SELECT SUM(CASE WHEN T2.release_year = 2000 THEN T1.num_sales ELSE 0 END) - SUM(CASE WHEN T2.release_year = 1990 THEN T1.num_sales ELSE 0 END) FROM region_sales AS T1 INNER JOIN game_platform AS T2 ON T1.game_platform_id = T2.id	video_games
SELECT DISTINCT T.platform_id FROM game_platform AS T WHERE T.release_year = 2006	video_games
SELECT AVG(T.num_sales * 100000) FROM region_sales AS T WHERE T.region_id = 3	video_games
SELECT T.release_year FROM game_platform AS T WHERE T.game_publisher_id = 6657 AND T.id = 19	video_games
SELECT SUM(T.num_sales) * 100000 FROM region_sales AS T WHERE T.game_platform_id = 66	video_games
SELECT T.game_name FROM game AS T WHERE T.id = 44	video_games
SELECT T4.game_name FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T1.platform_name = 'Wii'	video_games
SELECT T3.game_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.release_year = 2015	video_games
SELECT COUNT(DISTINCT T3.id) FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN genre AS T4 ON T3.genre_id = T4.id WHERE T4.genre_name = 'Adventure' AND T1.release_year = 2005	video_games
SELECT T3.publisher_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T1.game_name = 'Adventure Time: Explore the Dungeon Because I Don''t Know!'	video_games
SELECT T2.game_platform_id, T1.region_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T2.num_sales * 100000 <= 20000	video_games
SELECT T3.game_name FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id INNER JOIN publisher AS T4 ON T2.publisher_id = T4.id WHERE T4.publisher_name = '505 Games' AND T1.release_year = 2006	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.id = 119	video_games
SELECT T1.game_id FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T2.publisher_name = 'Abylight'	video_games
SELECT DISTINCT T1.region_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id ORDER BY T2.num_sales LIMIT 1	video_games
SELECT T1.game_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T2.genre_name = 'Strategy'	video_games
SELECT T3.platform_name FROM game_publisher AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.game_publisher_id INNER JOIN platform AS T3 ON T2.platform_id = T3.id WHERE T1.game_id = 178	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name IN ('Airlock', 'Airline Tycoon', 'Airblade')	video_games
SELECT SUM(T2.num_sales) * 100000 AS nums FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'North America'	video_games
SELECT T.publisher_name FROM ( SELECT DISTINCT T5.publisher_name FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id INNER JOIN game_publisher AS T4 ON T3.game_publisher_id = T4.id INNER JOIN publisher AS T5 ON T4.publisher_id = T5.id WHERE T1.region_name = 'North America' AND T2.num_sales * 100000 < 10000 LIMIT 5 ) t	video_games
SELECT T1.platform_id FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = 'Airborne Troops: Countdown to D-Day'	video_games
SELECT COUNT(T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'PSP' AND T2.release_year = 2004	video_games
SELECT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '999: Nine Hours, Nine Persons, Nine Doors'	video_games
SELECT T1.release_year FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id WHERE T2.game_id = 156	video_games
SELECT COUNT(CASE WHEN T1.platform_name = 'SNES' THEN T3.game_id ELSE NULL END) - COUNT(CASE WHEN T1.platform_name = 'DS' THEN T3.game_id ELSE NULL END) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id INNER JOIN publisher AS T4 ON T3.publisher_id = T4.id WHERE T4.publisher_name = 'Culture Brain'	video_games
SELECT CAST(COUNT(CASE WHEN T2.release_year = 2007 THEN T3.game_id ELSE NULL END) AS REAL) * 100 / COUNT(T3.game_id) FROM platform AS T1 INNER JOIN game_platform AS T2 ON T1.id = T2.platform_id INNER JOIN game_publisher AS T3 ON T2.game_publisher_id = T3.id WHERE T1.platform_name = 'Wii'	video_games
SELECT DISTINCT T3.platform_id FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id INNER JOIN game_platform AS T3 ON T2.game_platform_id = T3.id WHERE T1.region_name = 'Europe' AND T2.num_sales * 100 * 100000 < ( SELECT AVG(T2.num_sales * 100000) * 30 FROM region AS T1 INNER JOIN region_sales AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Europe' )	video_games
SELECT COUNT(Id) FROM Author WHERE Affiliation = 'University of California Berkeley'	authors
SELECT Keyword FROM Paper WHERE Title = 'Stitching videos streamed by mobile phones in real-time'	authors
SELECT T2.Title FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Concepts in Magnetic Resonance Part A' AND T2.Year = 2008	authors
SELECT COUNT(T2.Id) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Concepts in Magnetic Resonance Part A'	authors
SELECT T1.HomePage FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Title = 'Area Effects in Cepaea'	authors
SELECT COUNT(T2.Id) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Year = 2011 AND T1.FullName = 'Molecular Brain'	authors
SELECT COUNT(T2.Id) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Year = 2011 AND T1.ShortName = 'Mol Brain'	authors
SELECT COUNT(T1.AuthorId) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Equation Solving in Geometrical Theories'	authors
SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Area Effects in Cepaea'	authors
SELECT COUNT(T1.AuthorId) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Affiliation = 'University of Tokyo' AND T2.Title = 'FIBER: A Generalized Framework for Auto-tuning Software'	authors
SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Klaus Zimmermann'	authors
SELECT T1.Name FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T2.Title = 'Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web' AND T1.Affiliation = 'National Taiwan University Department of Computer Science and Information Engineering Taiwan'	authors
SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995	authors
SELECT COUNT(T2.Title) FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Name = 'Thomas Wiegand' AND T2.Year = 1995	authors
SELECT CAST(COUNT(T2.Id) AS REAL) / COUNT(DISTINCT T2.Year) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Molecular Brain' AND T2.Year BETWEEN 2008 AND 2011	authors
SELECT SUM(CASE WHEN T1.FullName = 'Cases Journal' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.FullName = 'Molecular Brain' THEN 1 ELSE 0 END) AS DIFF FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId	authors
SELECT COUNT(Id) FROM Journal WHERE FullName LIKE '%computing%'	authors
SELECT PaperId, AuthorId FROM PaperAuthor WHERE Affiliation LIKE 'Cairo Microsoft Innovation Lab%'	authors
SELECT ShortName, FullName FROM Conference WHERE HomePage = 'http://www.informatik.uni-trier.de/~ley/db/conf/ices/index.html'	authors
SELECT AuthorId FROM PaperAuthor WHERE Name = 'Peter'	authors
SELECT DISTINCT T1.Title, T2.ShortName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.ConferenceId BETWEEN 160 AND 170	authors
SELECT T1.Title, T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id ORDER BY T1.Year DESC LIMIT 1	authors
SELECT T1.Title, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Year = 1999 AND T2.Name LIKE 'Philip%'	authors
SELECT COUNT(T2.ConferenceId), T1.HomePage FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T2.Year BETWEEN 1990 AND 2000 AND T2.ConferenceId = 187	authors
SELECT DISTINCT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id WHERE T1.Affiliation = 'Department of Network Science, Graduate School of Information Systems, The University of Electro-Communications' AND T2.Year = 2003	authors
SELECT T2.Name, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.JournalId BETWEEN 245 AND 250 AND T1.Title LIKE '%chemiluminescence%'	authors
SELECT DISTINCT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId < 100	authors
SELECT DISTINCT T1.Title, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2006 AND T1.ConferenceId < 100	authors
SELECT T1.Id FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T2.HomePage LIKE 'http://www.informatik.uni-trier.de/~ley/db/conf/%'	authors
SELECT T3.HomePage, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Year BETWEEN 2000 AND 2005 AND T1.Title LIKE '%SOCIAL%'	authors
SELECT DISTINCT T2.AuthorId, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.JournalId = 0 AND T1.Year = 2009 AND T2.Affiliation IS NOT NULL	authors
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SELECT CAST(SUM(CASE WHEN Year = 2001 THEN 1 ELSE 0 END) AS REAL) / COUNT(Id) FROM Paper WHERE Year >= 2001 AND Year < 2011	authors
SELECT FullName, Homepage FROM Conference WHERE ShortName = 'ICWE'	authors
SELECT Affiliation FROM Author WHERE Affiliation IN ('Stanford University', 'Massachusetts Institute of Technology') GROUP BY Affiliation ORDER BY COUNT(Id) DESC LIMIT 1	authors
SELECT CAST(SUM(CASE WHEN Affiliation IS NULL THEN 1 ELSE 0 END) AS REAL) / COUNT(*) FROM Author	authors
SELECT Name, id FROM Author WHERE Affiliation = 'University of Oulu'	authors
SELECT T1.Title, T2.Affiliation FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Roger J. Marshall' AND T1.ConferenceID = 0 AND T1.JournalID = 0	authors
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SELECT T2.Name, T1.Id FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Title = 'Inspection resistant memory: Architectural support for security FROM physical examination' AND T2.Affiliation = 'Microsoft Research, USA'	authors
SELECT T2.Name, T2.Affiliation, T3.ShortName, T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T1.Title = 'Decreased Saliva Secretion and Down-Regulation of AQP5 in Submandibular Gland in Irradiated Rats'	authors
SELECT DISTINCT T2.Title, T2.JournalId FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.FullName = 'International Symposium of Robotics Research' AND T2.Year = 2003	authors
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SELECT SUM(T2.grad_100) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'H'	college_completion
SELECT T2.grad_cohort FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011	college_completion
SELECT IIF(SUM(CASE WHEN T2.gender = 'F' THEN T2.grad_150 ELSE 0 END) > SUM(CASE WHEN T2.gender = 'M' THEN T2.grad_150 ELSE 0 END), 'female White students', 'male White students') FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011 AND T2.race = 'W'	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' AND T2.grad_150 = ( SELECT MAX(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' )	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.grad_150 > 20 THEN T1.chronname ELSE NULL END AS T FROM institution_details T1 INNER JOIN institution_grads T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' ) WHERE T IS NOT NULL	college_completion
SELECT SUM(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE  T2.cohort = '2y all' AND T2.year = 2011 AND T1.state = 'Alabama'	college_completion
SELECT SUM(CASE WHEN T2.year = 2012 THEN T2.grad_cohort ELSE 0 END) - SUM(CASE WHEN T2.year = 2011 THEN T2.grad_cohort ELSE 0 END) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College'	college_completion
SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T1.med_sat_percentile = '100' AND T2.year = 2011 AND T2.grad_cohort > 500	college_completion
SELECT COUNT(T1.chronname) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T1.control = 'Public' AND T2.year = 2011 AND T2.grad_100 > 30	college_completion
SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T2.race = 'X' AND T2.grad_cohort > 500	college_completion
SELECT AVG(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year IN (2011, 2012, 2013) AND T2.gender = 'B' AND T2.race = 'X'	college_completion
SELECT AVG(T2.grad_100_rate) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College'	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Swarthmore College' THEN site ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Mercer University' THEN state ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Rensselaer Polytechnic Institute' THEN city ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN state = 'Delaware' THEN state_abbr ELSE NULL END AS T FROM state_sector_grads ) WHERE T IS NOT NULL	college_completion
SELECT COUNT(stateid) FROM state_sector_details WHERE state = 'California' AND level = '2-year' AND control = 'Public'	college_completion
SELECT T FROM ( SELECT DISTINCT CASE WHEN state = 'Idaho' THEN state_post ELSE NULL END AS T FROM state_sector_details ) WHERE T IS NOT NULL	college_completion
SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'NJ' AND T1.level = '4-year' AND T1.student_count = ( SELECT MAX(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'NJ' AND T1.level = '4-year' )	college_completion
SELECT DISTINCT T1.site FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'PA' AND T1.lat_y = ( SELECT MAX(T1.lat_y) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'PA' )	college_completion
SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'UT' AND T1.level = '4-year' AND T1.control = 'Public' AND T1.awards_per_value > T1.awards_per_state_value	college_completion
SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'CT' AND T2.level = '2-year' AND T1.control = 'Private not-for-profit' AND T1.awards_per_value < T1.awards_per_natl_value	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'ID' AND T1.level = '4-year' AND T1.control = 'Public' GROUP BY T1.chronname ORDER BY SUM(T1.grad_100_value) ASC LIMIT 1	college_completion
SELECT T1.chronname, T1.unitid FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'KY' AND T1.level = '4-year' AND T1.control = 'Private for-profit' GROUP BY T1.chronname ORDER BY SUM(T1.grad_150_value) DESC LIMIT 1	college_completion
SELECT SUM(T2.grad_100) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Pennsylvania State University-Altoona' AND T2.gender = 'F' AND T2.race = 'H'	college_completion
SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.cohort_size = ( SELECT MAX(T1.cohort_size) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid )	college_completion
SELECT COUNT(T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T2.level = '4-year' AND T2.control = 'Private not-for-profit' AND T1.chronname = 'Brevard Community College'	college_completion
SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T1.level = '2-year' AND T1.control = 'Public' AND T2.race = 'X'	college_completion
SELECT COUNT(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.level = '2-year' AND T2.control = 'Public' AND T2.gender = 'B' AND T2.race = 'A' AND T2.cohort = '2y all' AND T1.schools_count = 113	college_completion
SELECT CAST(COUNT(DISTINCT CASE WHEN T1.state = ( SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname = 'Madison Area Technical College' ) AND T1.level = '4-year' AND T1.control = 'Public' THEN T1.chronname ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT CASE WHEN T2.state = 'Alabama' THEN T1.chronname ELSE NULL END) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state	college_completion
SELECT DISTINCT T1.state, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'B' AND T2.year BETWEEN 2010 AND 2012	college_completion
SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.year = 2011 AND T1.awards_per_natl_value <= 20	college_completion
SELECT DISTINCT T1.control, T1.level FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' AND T1.student_count = ( SELECT MAX(T1.student_count) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' )	college_completion
SELECT DISTINCT T2.race FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count <= 20 AND T1.control = 'Public'	college_completion
SELECT DISTINCT T1.basic, T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2012 AND T2.gender = 'M' AND t2.race = 'X'	college_completion
SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count = 1 AND T2.year BETWEEN 2011 AND 2013 AND T2.race = 'W' AND T1.state = 'Alaska'	college_completion
SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.grad_cohort BETWEEN 1 AND 3 AND T2.race = 'Ai'	college_completion
SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state LIKE 'A%' AND T1.awards_per_natl_value = 16.5 AND T2.year = 2012	college_completion
SELECT DISTINCT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count BETWEEN 500 AND 1000 AND T2.year = ( SELECT MAX(T2.year) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid )	college_completion
SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'M' AND T2.race = 'B' AND T1.control = 'Private for-profit' AND T2.year = 2011	college_completion
SELECT DISTINCT T1.site, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.race = 'B' AND T2.grad_cohort BETWEEN 20 AND 30	college_completion
SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'F' AND schools_count BETWEEN 10 AND 20 AND T2.year = 2012	college_completion
SELECT DISTINCT T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count > ( SELECT AVG(T1.student_count) * 0.9 FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' ) AND T1.state = 'Alabama'	college_completion
SELECT CAST(SUM(CASE WHEN T2.level = '2-year' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.level) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state = 'Hawaii' AND T2.year = 2010	college_completion
SELECT chronname FROM institution_details WHERE state = 'Connecticut' AND retain_percentile = ( SELECT MAX(retain_percentile) FROM institution_details WHERE state = 'Connecticut' )	college_completion
SELECT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'W' AND T2.cohort = '2y all' AND T2.year = 2008 ORDER BY T2.grad_cohort DESC LIMIT 1	college_completion
SELECT T2.year FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Harvard University' GROUP BY T2.year ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T3.year = 2010 ) AND T3.year = 2010 GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) DESC LIMIT 1	college_completion
SELECT AVG(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Yale University' AND T2.year BETWEEN 2002 AND 2005 AND T2.race = 'B' AND T2.cohort = '4y bach'	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.race = 'H' GROUP BY T1.chronname ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 WHERE T2.level = '4-year' AND T2.control = 'Public' AND T2.state = 'Florida'	college_completion
SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) ASC LIMIT 1	college_completion
SELECT COUNT(t1.unitid), t1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state WHERE t1.ft_pct > 90 ORDER BY t2.schools_count DESC LIMIT 1	college_completion
SELECT AVG(t1.med_sat_value) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state ORDER BY t2.state_appr_value LIMIT 1	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.gender = 'F' AND T2.cohort = '4y other' ORDER BY T2.grad_cohort DESC LIMIT 1	college_completion
SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort DESC LIMIT 1	college_completion
SELECT AVG(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'United Education Institute-Huntington Park Campus' AND T2.year BETWEEN 2011 AND 2013 AND T2.gender = 'M' AND T2.race = 'H'	college_completion
SELECT T1.chronname, T2.state_appr_value FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state ORDER BY T1.awards_per_value - T2.awards_per_natl_value DESC LIMIT 1	college_completion
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars < 3	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'False'	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 36139 AND review_length LIKE 'long'	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_fans LIKE 'Uber'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 10172 AND T1.attribute_name LIKE 'wi-fi'	public_review_platform
SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Bars'	public_review_platform
SELECT SUM(CASE WHEN T1.category_name LIKE 'Buffets' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Gyms' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T4.review_stars = 5 GROUP BY T1.category_name ORDER BY COUNT(T1.category_name) DESC LIMIT 1	public_review_platform
SELECT T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_stars = 5 GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.review_stars) DESC LIMIT 1	public_review_platform
SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1	public_review_platform
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' GROUP BY T2.business_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1	public_review_platform
SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T4.tip_length LIKE 'short'	public_review_platform
SELECT T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.tip_length LIKE 'short' GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.tip_length) DESC LIMIT 1	public_review_platform
SELECT T4.category_name FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.user_id = 70271	public_review_platform
SELECT T2.stars FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.user_id = 69722	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Automotive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) - CAST(SUM(CASE WHEN T2.category_name LIKE 'Men''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "more percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2005 AND user_fans LIKE 'None'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Tolleson' AND active LIKE 'TRUE'	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE business_id = 10682 AND review_stars = 5	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Sun City' AND T1.active LIKE 'FALSE' GROUP BY T1.business_id ORDER BY COUNT(T2.review_length) DESC LIMIT 1	public_review_platform
SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Yuma' AND T2.review_length LIKE 'Medium'	public_review_platform
SELECT DISTINCT CASE WHEN T1.attribute_name LIKE 'Has TV' THEN 'yes' ELSE 'no' END FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 4960	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Dogs Allowed' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT T1.closing_time - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Saturday' AND T1.business_id = 5734	public_review_platform
SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Hair Removal'	public_review_platform
SELECT SUM(CASE WHEN T1.category_name LIKE 'Chinese' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Filipino' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.likes = 1 AND T2.user_id = 63469	public_review_platform
SELECT COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 1141	public_review_platform
SELECT COUNT(T1.compliment_type) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type LIKE 'cute' AND T2.user_id = 57400	public_review_platform
SELECT user_id FROM Users_Compliments WHERE compliment_id IN ( SELECT compliment_id FROM Compliments WHERE compliment_type LIKE 'funny' )	public_review_platform
SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.business_id < 1000 AND T3.city LIKE 'Scottsdale' AND T1.attribute_name LIKE 'Drive-Thru' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.business_id) AS "avg" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) AS "percentage" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'BYOB' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT business_id FROM Business WHERE state LIKE 'AZ' AND stars = 5	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'Low' AND active LIKE 'TRUE'	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_id BETWEEN 1 AND 20 AND user_fans LIKE 'None' AND user_review_count LIKE 'Low'	public_review_platform
SELECT T4.opening_time FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion'	public_review_platform
SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.opening_time < '8AM' AND T1.category_name LIKE 'Shopping'	public_review_platform
SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.closing_time > '9PM' AND T1.category_name LIKE 'Pets'	public_review_platform
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id INNER JOIN Days AS T5 ON T4.day_id = T5.day_id WHERE T5.day_of_week LIKE 'Monday' OR T5.day_of_week LIKE 'Tuesday' OR T5.day_of_week LIKE 'Wednesday' OR T5.day_of_week LIKE 'Thursday'	public_review_platform
SELECT COUNT(*) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Active Life' AND T3.city = 'Phoenix'	public_review_platform
SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Men''s Clothing' AND T3.stars < 5	public_review_platform
SELECT DISTINCT T1.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active LIKE 'FALSE' AND T1.review_votes_useful LIKE 'Low'	public_review_platform
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' AND T3.category_id BETWEEN 1 AND 20 GROUP BY T4.category_name	public_review_platform
SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T4.category_name LIKE 'Fashion' AND T1.city LIKE 'Scottsdale'	public_review_platform
SELECT COUNT(T1.number_of_compliments) FROM Users_Compliments AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Phoenix' AND T1.number_of_compliments LIKE 'Medium'	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Tempe' AND T4.opening_time < '8AM'	public_review_platform
SELECT COUNT(T1.category_name) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Glendale' AND T4.opening_time LIKE '8AM' AND T4.closing_time LIKE '6PM'	public_review_platform
SELECT SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.city) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id	public_review_platform
SELECT SUM(CASE WHEN T2.category_name LIKE 'Active Life' THEN 1 ELSE 0 END) AS "num" , CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(T3.review_count) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T3.review_count LIKE 'Low' ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'TRUE'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3	public_review_platform
SELECT CAST(SUM(stars) AS REAL) / COUNT(business_id) AS "average" FROM Business WHERE active LIKE 'FALSE'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'beer_and_wine' AND T1.state LIKE 'AZ'	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T2.attribute_value LIKE 'full_bar' GROUP BY T1.city	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 5 AND T3.category_name LIKE 'Fashion'	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.review_count LIKE 'High' AND T3.category_name LIKE 'Food' GROUP BY T1.city	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Mesa' AND T2.review_stars > 3 GROUP BY T1.business_id	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny LIKE 'low' GROUP BY T1.city	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.city LIKE 'Chandler' AND T3.category_name LIKE 'Real Estate'	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012 AND user_votes_funny LIKE 'High'	public_review_platform
SELECT review_votes_useful FROM Reviews WHERE user_id = 52592 AND business_id = 2	public_review_platform
SELECT attribute_id FROM Attributes WHERE attribute_name LIKE '%payment%'	public_review_platform
SELECT review_length FROM Reviews WHERE user_id = 612 AND review_stars = 5 AND business_id = 2	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Gilbert' AND active LIKE 'True'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'Low'	public_review_platform
SELECT DISTINCT T2.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.review_stars = 5 LIMIT 3	public_review_platform
SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'none' LIMIT 1	public_review_platform
SELECT COUNT(T2.compliment_type) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.user_id = 33 AND T2.compliment_type LIKE 'cool'	public_review_platform
SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Friday' AND T1.business_id = 53	public_review_platform
SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 56	public_review_platform
SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.business_id = 15	public_review_platform
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Scottsdale' AND T1.category_name LIKE 'Beauty & Spas'	public_review_platform
SELECT T1.user_id FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'Uber' AND T2.compliment_type LIKE 'cute' LIMIT 2	public_review_platform
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.stars > 3 AND T1.category_name LIKE 'Accessories'	public_review_platform
SELECT T2.closing_time - T2.opening_time AS "hour" FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.business_id = 12 AND T1.city LIKE 'Scottsdale' AND T2.day_id = 3	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Checkins AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.label_time_4 LIKE 'None' AND T1.state LIKE 'AZ' AND T3.day_of_week LIKE 'Thursday'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3	public_review_platform
SELECT city FROM Business ORDER BY review_count DESC LIMIT 1	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars > 4	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ'	public_review_platform
SELECT city FROM Business WHERE stars = 5 GROUP BY city	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long'	public_review_platform
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long' AND review_votes_useful LIKE 'Medium'	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012	public_review_platform
SELECT user_id FROM Users WHERE user_fans LIKE 'High' GROUP BY user_id	public_review_platform
SELECT COUNT(T1.attribute_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none' AND T3.state LIKE 'AZ'	public_review_platform
SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Good for Kids' AND T2.attribute_value LIKE 'TRUE'	public_review_platform
SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Shopping'	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 1	public_review_platform
SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Food' AND T3.active LIKE 'TRUE'	public_review_platform
SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' AND T3.city LIKE 'Anthem'	public_review_platform
SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' ORDER BY T3.stars DESC LIMIT 1	public_review_platform
SELECT COUNT(T3.stars) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.category_name LIKE 'Food' AND T5.attribute_name LIKE 'Good for Kids' AND T4.attribute_value LIKE 'TRUE'	public_review_platform
SELECT COUNT(T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.user_id = 3	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.state LIKE 'AZ' GROUP BY T1.category_name	public_review_platform
SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1	public_review_platform
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Monday' AND T1.closing_time > '8PM'	public_review_platform
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Monday' AND T3.city LIKE 'Anthem' AND T3.active LIKE 'True' GROUP BY T1.opening_time	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM' AND T3.state LIKE 'AZ'	public_review_platform
SELECT T4.category_name FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T4.category_id = T4.category_id WHERE T1.closing_time = '12PM' AND T2.day_of_week = 'Sunday' GROUP BY T4.category_name	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Attributes AS T3 ON T1.business_id = T3.business_id INNER JOIN Attributes AS T4 ON T4.attribute_id = T4.attribute_id WHERE T2.day_id IN (1, 2, 3, 4, 5, 6, 7) AND T4.attribute_name = 'Good for Kids' AND T3.attribute_value = 'true'	public_review_platform
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = T2.year_id	public_review_platform
SELECT T1.closing_time + 12 - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id INNER JOIN Business_Categories AS T4 ON T3.business_id = T4.business_id INNER JOIN Categories AS T5 ON T4.category_id = T5.category_id WHERE T2.day_of_week LIKE 'Monday' AND T5.category_name LIKE 'Shopping' ORDER BY T1.closing_time + 12 - T1.opening_time DESC LIMIT 1	public_review_platform
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T1.closing_time + 12 - T1.opening_time > 12 AND T2.day_of_week LIKE 'Sunday' GROUP BY T1.business_id	public_review_platform
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.business_id = 1	public_review_platform
SELECT COUNT(T4.user_id) FROM ( SELECT T1.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.user_id IS NOT NULL GROUP BY T3.user_id HAVING COUNT(T3.user_id) > 10 ) T4	public_review_platform
SELECT T1.user_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' GROUP BY T1.user_id ORDER BY COUNT(T1.user_id) DESC LIMIT 1	public_review_platform
SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Anthem'	public_review_platform
SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state LIKE 'AZ' AND T2.user_id = 3	public_review_platform
SELECT T1.closing_time + 12 - T1.opening_time AS "avg opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 1 AND (T2.day_of_week = 'Sunday' OR T2.day_of_week = 'Sunday')	public_review_platform
SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T1.business_id) AS "average stars" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM'	public_review_platform
SELECT COUNT(city) FROM Business WHERE city LIKE 'Casa Grande'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True' AND review_count LIKE 'low'	public_review_platform
SELECT business_id FROM Business WHERE city LIKE 'Mesa' AND stars BETWEEN 2 AND 3	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2011 AND 2013 AND user_fans LIKE 'High'	public_review_platform
SELECT review_length FROM Reviews WHERE user_id = 35026 AND business_id = 2	public_review_platform
SELECT DISTINCT T3.attribute_id, T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.attribute_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.review_count = 'Low' AND T1.city = 'Chandler'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars < 4 AND T3.category_name LIKE 'Mexican'	public_review_platform
SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Fashion'	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id ORDER BY T1.stars DESC LIMIT 1	public_review_platform
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Medium' AND T2.business_id BETWEEN 6 AND 9 ORDER BY T1.review_stars DESC LIMIT 1	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name LIKE 'Caters' AND T1.review_count LIKE 'Low' AND T1.active LIKE 'TRUE'	public_review_platform
SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Tempe' ORDER BY T1.stars DESC LIMIT 1	public_review_platform
SELECT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T1.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Chandler' AND T1.review_count LIKE 'Medium'	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Surprise' GROUP BY T3.category_name	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '8AM' AND T3.day_of_week LIKE 'Friday' GROUP BY T1.city	public_review_platform
SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'High' AND T1.active LIKE 'TRUE' AND T1.city LIKE 'Mesa' AND T1.stars = 3	public_review_platform
SELECT DISTINCT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Chandler' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Medium'	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.stars < 4 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Accessories'	public_review_platform
SELECT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Tempe' AND T1.active LIKE 'TRUE' AND T1.stars > 0.7 * ( SELECT AVG(T1.stars) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Tempe' AND T1.active LIKE 'TRUE' )	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'True'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'High'	public_review_platform
SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_id = 1 AND attribute_value = 'beer_and_wine'	public_review_platform
SELECT COUNT(attribute_id) FROM Business_Attributes WHERE business_id = 2	public_review_platform
SELECT COUNT(T1.user_id) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'High' AND T2.compliment_id = 1	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city LIKE 'Phoenix' AND T3.attribute_name LIKE 'waiter_service' AND T2.attribute_id = 2	public_review_platform
SELECT T5.attribute_name FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T2.day_id LIKE '1' AND '2' AND '3' AND '4' AND '5' AND '6' AND '7' AND T1.opening_time = T1.closing_time GROUP BY T5.attribute_name	public_review_platform
SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion' AND T1.category_id = 7 GROUP BY T3.business_id ORDER BY COUNT(T4.user_id) DESC LIMIT 1	public_review_platform
SELECT DISTINCT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.state LIKE 'AZ' AND T1.review_stars >= 3	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.user_average_stars = 1 THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.user_id) , SUM(CASE WHEN T1.user_average_stars = 5 THEN 1 ELSE 0 END) * 1.0 / COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T2.year_id = 2013	public_review_platform
SELECT CAST(COUNT(CASE WHEN year_id < 2014 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(CASE WHEN year_id = 2005 THEN 1.0 ELSE NULL END) AS increment FROM Elite	public_review_platform
SELECT COUNT(T1.business_id) , strftime('%Y', 'now') - T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.user_id = 3	public_review_platform
SELECT COUNT(review_stars) / (strftime('%Y', 'now') - T1.user_yelping_since_year) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_id = 3	public_review_platform
SELECT CAST(COUNT(T1.user_id) AS REAL) / COUNT(DISTINCT T1.business_id) FROM Reviews AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id	public_review_platform
SELECT T2.user_average_stars, COUNT(T3.likes) FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Tips AS T3 ON T3.user_id = T2.user_id GROUP BY T1.user_id HAVING COUNT(T1.user_id) > 5	public_review_platform
SELECT T2.category_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Reviews AS T3 ON T3.business_id = T1.business_id WHERE T2.category_name = 'Hotels & Travel' GROUP BY T2.category_id ORDER BY COUNT(T2.category_id) DESC LIMIT 1	public_review_platform
SELECT CAST(SUM(T2.review_stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE active LIKE 'True'	public_review_platform
SELECT business_id FROM Business WHERE city LIKE 'Phoenix' AND review_count LIKE 'Low'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'High' AND active LIKE 'True'	public_review_platform
SELECT business_id FROM Business WHERE city LIKE 'Tempe' AND stars BETWEEN 3 AND 4	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2010 AND 2012 AND user_fans LIKE 'Low'	public_review_platform
SELECT review_length FROM Reviews WHERE user_id = 60776 AND business_id = 1	public_review_platform
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.review_count LIKE 'High' AND T1.city LIKE 'Scottsdale' GROUP BY T3.attribute_name	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Automotive' AND T1.stars < 3	public_review_platform
SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Pets'	public_review_platform
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id ORDER BY T1.stars DESC LIMIT 1	public_review_platform
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Short' AND T2.business_id BETWEEN 5 AND 10 ORDER BY T1.review_stars DESC LIMIT 1	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name LIKE 'Wi-Fi' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Medium'	public_review_platform
SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Gilbert' ORDER BY T1.stars DESC LIMIT 1	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.review_count = 'Low' AND T1.city = 'Mesa' AND T1.active = 'true' AND T1.state = 'AZ'	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'FALSE' AND T1.state LIKE 'AZ'	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '9AM' AND T3.day_of_week LIKE 'Saturday' GROUP BY T1.city	public_review_platform
SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'Medium' AND T1.active LIKE 'FALSE' AND T1.city LIKE 'Phoenix' AND T1.stars = 3.5	public_review_platform
SELECT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Surprise' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Low' GROUP BY T2.opening_time	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.stars < 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Local Services'	public_review_platform
SELECT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Scottsdale' AND T1.active LIKE 'TRUE' AND T1.stars > 0.6 * ( SELECT AVG(T1.stars) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Scottsdale' AND T1.active LIKE 'TRUE' )	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 AND user_fans LIKE 'None'	public_review_platform
SELECT user_id FROM Users_Compliments WHERE number_of_compliments LIKE 'Low' GROUP BY user_id ORDER BY COUNT(number_of_compliments) > 5 LIMIT 5	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_average_stars = 4 LIMIT 10	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time LIKE '10AM' AND T2.closing_time LIKE '12PM' AND T3.day_of_week LIKE 'Sunday'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Open 24 Hours'	public_review_platform
SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Good for Dancing' AND T1.attribute_name LIKE 'Good for Groups' LIMIT 5	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Ahwatukee' AND T1.active LIKE 'TRUE' AND T3.day_of_week LIKE 'Sunday'	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T1.state NOT LIKE 'AZ'	public_review_platform
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 2 AND T1.review_count LIKE 'High'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true' AND T1.attribute_name = 'ambience_romantic'	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '6PM' AND T2.opening_time LIKE '1PM' AND T3.day_of_week LIKE 'Saturday'	public_review_platform
SELECT COUNT(T1.user_fans) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id ORDER BY COUNT(T2.likes) DESC LIMIT 1	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time = '1AM' AND T2.opening_time = '12AM' AND T3.day_of_week = 'Saturday'	public_review_platform
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Shopping Centers' AND T3.review_count = 'High'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'Accepts Insurance' AND T1.attribute_value = 'true'	public_review_platform
SELECT 1.0 * (( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'SC' ) + ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'CA' )) / ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ) AS reslut	public_review_platform
SELECT SUM(CASE WHEN T3.day_of_week = 'Monday' THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.day_of_week = 'Tuesday' THEN 1 ELSE 0 END) AS DIFF FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time = '10AM' AND T2.closing_time = '9PM'	public_review_platform
SELECT attribute_id FROM Attributes WHERE attribute_name = 'Accepts Insurance'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND city = 'Phoenix'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE stars = 4 AND city = 'Mesa'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE review_count = 'High' AND city = 'Gilbert'	public_review_platform
SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'true' AND T1.city = 'Gilbert' AND T1.review_count = 'Uber'	public_review_platform
SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Tempe' AND T1.stars = '3.5' AND T1.review_count = 'Uber' AND T2.review_length = 'Long'	public_review_platform
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T1.review_count = 'Uber' AND T3.attribute_name = 'Noise Level'	public_review_platform
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'good_for_dinner' AND T1.business_id = 14033	public_review_platform
SELECT SUBSTR(T1.closing_time, 1, 2) + 12 - SUBSTR(T1.opening_time, 1, 2) AS YYSJ FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week = 'Monday' AND T1.business_id = 15098	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_stars = 5 AND T2.review_votes_funny = 'Uber'	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Medium' AND T2.likes = 3	public_review_platform
SELECT COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_yelping_since_year = 2010 AND T1.user_average_stars = 4.5 AND T1.user_fans = 'Uber' AND T3.compliment_type = 'funny'	public_review_platform
SELECT COUNT(T2.number_of_compliments) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'cool' AND T2.user_id = 41717	public_review_platform
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 11825 AND T2.attribute_name = 'parking_lot'	public_review_platform
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 12476 AND T2.attribute_name = 'payment_types_mastercard'	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category_name) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) AS TIMES FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT business_id, active, city FROM Business WHERE state = 'CA' AND active = 'true'	public_review_platform
SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(business_id) FROM Business	public_review_platform
SELECT attribute_id, attribute_name FROM Attributes WHERE attribute_name LIKE 'music%'	public_review_platform
SELECT year_id FROM Elite WHERE year_id IN (2006, 2007) GROUP BY year_id ORDER BY COUNT(user_id) DESC LIMIT 1	public_review_platform
SELECT CAST(SUM(CASE WHEN number_of_compliments = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users_compliments	public_review_platform
SELECT business_id, user_id FROM Reviews WHERE review_votes_cool = 'Uber'	public_review_platform
SELECT T1.user_id, T2.business_id, T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_fans = 'High'	public_review_platform
SELECT T1.business_id, T1.active, T3.user_id, T3.user_yelping_since_year FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.review_votes_cool = 'Uber' AND T2.review_votes_funny = 'Uber' AND T2.review_length = 'Long'	public_review_platform
SELECT T1.attribute_id, T2.business_id, T3.city FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_playlist' AND T3.active = 'false'	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.attribute_name = 'Accepts Credit Cards' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id	public_review_platform
SELECT T2.user_id, T2.review_length FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'San Tan Valley' AND T1.active = 'false' AND T2.review_stars = 5	public_review_platform
SELECT T2.user_average_stars, T1.year_id, T4.compliment_type, T3.number_of_compliments FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Users_Compliments AS T3 ON T2.user_id = T3.user_id INNER JOIN Compliments AS T4 ON T3.compliment_id = T4.compliment_id INNER JOIN Years AS T5 ON T1.year_id = T5.year_id WHERE T3.number_of_compliments = 'Uber' AND T3.user_id = 6027	public_review_platform
SELECT T2.business_id, T3.state, T3.city FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Coffee & Tea' LIMIT 5	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id GROUP BY T2.category_id HAVING COUNT(T2.business_id) > ( SELECT COUNT(T3.business_id) FROM Business_Categories AS T3 ) * 0.1	public_review_platform
SELECT T3.user_id, T3.user_fans FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.city = 'Sun Lakes' AND T1.stars = 5	public_review_platform
SELECT SUM(CASE WHEN T1.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS diff FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT T1.compliment_type, T3.user_fans FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.number_of_compliments = 'Uber' AND T2.user_id < 100	public_review_platform
SELECT DISTINCT business_id FROM Business_Hours WHERE closing_time = '8PM'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND state = 'AZ' AND stars = 2	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND stars > 3	public_review_platform
SELECT user_id FROM Users WHERE user_yelping_since_year = 2012 AND user_average_stars < 3	public_review_platform
SELECT CAST(SUM(CASE WHEN stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business	public_review_platform
SELECT ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1 ) - ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) ASC LIMIT 1 ) AS DIFF	public_review_platform
SELECT DISTINCT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name = 'Tires' GROUP BY T2.business_id HAVING COUNT(day_id) = 7	public_review_platform
SELECT DISTINCT T1.user_id FROM Elite AS T1 INNER JOIN Years AS T2 ON T1.year_id = T2.year_id WHERE T2.actual_year = 2012	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Shopping' AND T1.stars = 4	public_review_platform
SELECT COUNT(T2.business_id) FROM Days AS T1 INNER JOIN Checkins AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.label_time_10 = 'Low'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' AND T2.user_id = 20241	public_review_platform
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Pet Services'	public_review_platform
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id INNER JOIN Reviews AS T4 ON T1.user_id = T4.user_id WHERE T3.compliment_type = 'photos' AND T4.review_votes_cool = 'High'	public_review_platform
SELECT COUNT(*) FROM Business WHERE business_id IN ( SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'false' GROUP BY T1.business_id HAVING COUNT(DISTINCT T2.attribute_id) > 10 )	public_review_platform
SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T3.attribute_name = 'Alcohol'	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.review_votes_funny = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix'	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Shopping' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS radio FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id	public_review_platform
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name = 'Banks & Credit Unions'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND city = 'Casa Grande'	public_review_platform
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 12 AND T2.day_of_week = 'Monday'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'Good for Kids' AND T2.attribute_value = 'true'	public_review_platform
SELECT business_id FROM Business WHERE city = 'Gilbert' AND active = 'true' AND review_count = 'High' ORDER BY stars DESC LIMIT 1	public_review_platform
SELECT T1.business_id, T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.city = 'Ahwatukee' AND T1.stars = 5	public_review_platform
SELECT CAST(SUM(CASE WHEN stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business WHERE city = 'Avondale' AND active = 'false'	public_review_platform
SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004	public_review_platform
SELECT CAST(SUM(CASE WHEN review_length = 'Long' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(review_length) FROM Reviews WHERE review_stars = 5	public_review_platform
SELECT CAST(SUM(CASE WHEN user_fans = 'None' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users WHERE user_average_stars >= 4	public_review_platform
SELECT COUNT(business_id) FROM Tips WHERE business_id = 2 AND tip_length = 'Short'	public_review_platform
SELECT user_id FROM Users WHERE user_average_stars = 5 ORDER BY user_yelping_since_year ASC LIMIT 1	public_review_platform
SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' GROUP BY t2.business_id HAVING T1.review_count > AVG(T1.review_count)	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.compliment_type = 'cute' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T2.number_of_compliments = 'High'	public_review_platform
SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_value IN ('none', 'no', 'false')	public_review_platform
SELECT opening_time, closing_time FROM Business_Hours WHERE business_id = 1 AND day_id = 2	public_review_platform
SELECT DISTINCT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_length = 'Medium'	public_review_platform
SELECT T2.closing_time FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.business_id = 4	public_review_platform
SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_length = 'Short'	public_review_platform
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_fans = 'Medium'	public_review_platform
SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2012 AND T2.number_of_compliments = 'Low'	public_review_platform
SELECT COUNT(T2.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Gilbert' AND T1.attribute_value IN ('None', 'no', 'false')	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'full_bar'	public_review_platform
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.opening_time = '1AM'	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 5	public_review_platform
SELECT T2.user_id FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos'	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.tip_length = 'Medium' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.tip_length), T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id	public_review_platform
SELECT CAST(COUNT(T1.city) AS REAL) * 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'	public_review_platform
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.closing_time = '12AM'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Peoria' AND T1.attribute_value = 'beer_and_wine'	public_review_platform
SELECT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_yelping_since_year = ( SELECT MIN(user_yelping_since_year) FROM Users )	public_review_platform
SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(user_id) DESC LIMIT 1	public_review_platform
SELECT year_id FROM Elite GROUP BY year_id ORDER BY COUNT(user_id) DESC LIMIT 1	public_review_platform
SELECT COUNT(business_id) FROM Reviews WHERE review_stars = 5 AND review_votes_funny = 'Uber'	public_review_platform
SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber'	public_review_platform
SELECT business_id FROM Business_Hours ORDER BY closing_time - opening_time LIMIT 1	public_review_platform
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id >= 1 AND day_id < 8 AND opening_time = closing_time	public_review_platform
SELECT T3.tip_length, SUM(T3.likes) AS likes FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Hotels & Travel' GROUP BY T3.tip_length	public_review_platform
SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber'	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.stars BETWEEN 3.5 AND 5 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.stars BETWEEN 1 AND 2.5 THEN 1 ELSE 0 END) AS ratio FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id	public_review_platform
SELECT T2.business_id, T3.category_name FROM Reviews AS T1 INNER JOIN Business_categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id GROUP BY T2.business_id ORDER BY COUNT(T1.user_id) DESC LIMIT 10	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE business_id IN ( SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'AZ' GROUP BY T1.business_id HAVING SUM(T2.review_stars) / COUNT(T2.user_id) < 3 )	public_review_platform
SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users )	public_review_platform
SELECT DISTINCT T3.compliment_type FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_fans = 'Uber'	public_review_platform
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_fans = 'Uber'	public_review_platform
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'	public_review_platform
SELECT DISTINCT T4.category_name FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.city = 'Phoenix' AND T1.opening_time >= '5PM' LIMIT 3	public_review_platform
SELECT T3.user_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Reviews AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Delivery' GROUP BY T3.user_id ORDER BY COUNT(T2.business_id) DESC LIMIT 1	public_review_platform
SELECT AVG(T3.user_id) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Reviews AS T3 ON T1.business_id = T3.business_id WHERE T1.active = 'true' GROUP BY T2.closing_time - T2.opening_time HAVING SUM(T2.closing_time - T2.opening_time) < 30	public_review_platform
SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'	public_review_platform
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id = 6 AND opening_time = '10AM'	public_review_platform
SELECT DISTINCT day_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE stars > 4	public_review_platform
SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.opening_time <> ''	public_review_platform
SELECT DISTINCT T4.day_of_week FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Pets'	public_review_platform
SELECT DISTINCT T3.opening_time, T3.day_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Doctors'	public_review_platform
SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id GROUP BY T2.category_name ORDER BY COUNT(T3.day_id) DESC LIMIT 1	public_review_platform
SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'DJs' AND T1.stars < 5	public_review_platform
SELECT DISTINCT T4.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Business AS T4 ON T3.business_id = T4.business_id WHERE T4.active = 'true' AND T3.opening_time = '7AM' AND T3.closing_time = '8PM'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Stadiums & Arenas' AND T3.stars = ( SELECT MAX(stars) FROM Business )	public_review_platform
SELECT COUNT(DISTINCT T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.review_count = 'Low' AND T3.stars > 2	public_review_platform
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Accessories' AND SUBSTR(T1.opening_time, -4, 2) * 1 < 7 AND T1.opening_time LIKE '%AM'	public_review_platform
SELECT COUNT(DISTINCT T2.business_id) FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T1.opening_time > '12PM'	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T3.user_id = 16328	public_review_platform
SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) * 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food'	public_review_platform
SELECT CAST(SUM(CASE WHEN T3.category_name = 'Food' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.category_name) FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id	public_review_platform
SELECT SUM(CASE WHEN review_count = 'High' THEN 1 ELSE 0 END) AS high , SUM(CASE WHEN review_count = 'Medium' THEN 1 ELSE 0 END) AS Medium , SUM(CASE WHEN review_count = 'Low' THEN 1 ELSE 0 END) AS low FROM Business WHERE city = 'Cave Creek' AND active = 'true'	public_review_platform
SELECT AVG(user_id) FROM Users WHERE user_yelping_since_year >= 2005 AND user_yelping_since_year <= 2015	public_review_platform
SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = 'Low'	public_review_platform
SELECT user_id FROM Elite WHERE year_id = 2006 LIMIT 5	public_review_platform
SELECT category_id, category_name FROM Categories WHERE category_name LIKE 'P%' LIMIT 5	public_review_platform
SELECT user_id, review_stars FROM Reviews WHERE business_id = 15 AND review_length = 'Medium'	public_review_platform
SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa'	public_review_platform
SELECT T2.business_id, T3.active FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Diagnostic Imaging'	public_review_platform
SELECT T2.user_id, T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.business_id = 143 AND T1.review_stars = 5	public_review_platform
SELECT T3.user_id, T3.user_yelping_since_year FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.compliment_type = 'profile' AND T2.number_of_compliments = 'Uber' LIMIT 5	public_review_platform
SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1	public_review_platform
SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos'	public_review_platform
SELECT CAST(SUM(CASE WHEN T2.opening_time = '9AM' AND T2.closing_time = '9PM' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.day_id) FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday'	public_review_platform
SELECT T2.business_id, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' AND T1.active = 'true'	public_review_platform
SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 5	public_review_platform
SELECT DISTINCT T2.business_id, T2.city FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 AND ( SELECT CAST(( SELECT COUNT(DISTINCT T1.user_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 ) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ) > 65 )	public_review_platform
SELECT SUM(CASE WHEN city = 'Glendale' THEN 1 ELSE 0 END) - SUM(CASE WHEN city = 'Mesa' THEN 1 ELSE 0 END) AS diff FROM Business WHERE active = 'true'	public_review_platform
SELECT SUM(T2.likes) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2010	public_review_platform
SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) DESC LIMIT 1	public_review_platform
SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear'	public_review_platform
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Long'	public_review_platform
SELECT SUM(T2.closing_time - T2.opening_time) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'El Mirage' AND T1.state = 'AZ'	public_review_platform
SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC'	public_review_platform
SELECT DISTINCT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.stars = 5	public_review_platform
SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'beer_and_wine'	public_review_platform
SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium'	public_review_platform
SELECT T3.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.attribute_value = 'true'	public_review_platform
SELECT CAST(SUM(CASE WHEN attribute_name = 'Good for Kids' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city = 'Mesa' AND active = 'true'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 2)	public_review_platform
SELECT business_id FROM Business WHERE stars > 3 AND city = 'Paradise Valley' AND review_count = 'Low'	public_review_platform
SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_value > 1	public_review_platform
SELECT COUNT(business_id) FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'	public_review_platform
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny = 'Uber' AND T1.active = 'true'	public_review_platform
SELECT COUNT(T2.user_id) FROM Users_Compliments AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.number_of_compliments = 'High' AND T2.user_fans = 'None'	public_review_platform
SELECT T2.compliment_type FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id GROUP BY T2.compliment_type ORDER BY COUNT(T2.compliment_type) DESC LIMIT 1	public_review_platform
SELECT T2.user_average_stars FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id GROUP BY T2.user_id ORDER BY SUM(T1.likes) DESC LIMIT 3	public_review_platform
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city = 'Arcadia'	public_review_platform
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.day_id = 1	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_karaoke' AND T3.active = 'false' AND T2.attribute_value IN ('none', 'no', 'false')	public_review_platform
SELECT COUNT(DISTINCT T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_length = 'Long' AND T2.active = 'true' AND T2.city = 'Phoenix'	public_review_platform
SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_votes_cool = 'Low' AND T2.review_votes_cool = 'Low'	public_review_platform
SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T2.tip_length = 'Long' AND T2.likes = 2 AND T1.user_fans = 'High'	public_review_platform
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_trendy' AND T2.attribute_value IN ('none', 'no', 'false')	public_review_platform
SELECT COUNT(DISTINCT T2.business_id) FROM Business AS T1 INNER JOIN Business_hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM'	public_review_platform
SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Obstetricians & Gynecologists'	public_review_platform
SELECT CAST(SUM(CASE WHEN T3.user_fans = 'High' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.user_fans) FROM Years AS T1 INNER JOIN Elite AS T2 ON T1.year_id = T2.year_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.actual_year = 2011	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE city = 'Surprise'	public_review_platform
SELECT business_id FROM Business WHERE review_count = 'High' AND city = 'Tempe'	public_review_platform
SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true'	public_review_platform
SELECT business_id FROM Business WHERE stars >= 3 AND stars < 6 AND city = 'Chandler'	public_review_platform
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year >= 2009 AND user_yelping_since_year < 2012 AND user_fans = 'Low'	public_review_platform
SELECT review_length FROM Reviews WHERE user_id = 11021 AND business_id = 3	public_review_platform
SELECT DISTINCT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Tempe' AND T1.review_count = 'Medium'	public_review_platform
SELECT COUNT(DISTINCT T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food' AND T1.stars < 3	public_review_platform
SELECT DISTINCT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food' AND T1.active = 'true'	public_review_platform
SELECT DISTINCT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T2.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.stars = ( SELECT MAX(stars) FROM Business )	public_review_platform
SELECT DISTINCT T3.category_name FROM Reviews AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = 'Short' AND T1.review_stars = ( SELECT MAX(review_stars) FROM Reviews )	public_review_platform
SELECT COUNT(DISTINCT T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name = 'BYOB' AND T1.review_count = 'High' AND T1.active = 'true'	public_review_platform
SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' ORDER BY T1.stars DESC LIMIT 1	public_review_platform
SELECT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T1.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.review_count = 'High' AND T1.city = 'Goodyear' AND T1.state = 'AZ' AND T1.active = 'true'	public_review_platform
SELECT DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale'	public_review_platform
SELECT DISTINCT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time = '7AM' AND T2.closing_time = '7PM' AND T3.day_of_week = 'Wednesday'	public_review_platform
SELECT DISTINCT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state = 'AZ' AND T1.city = 'Goodyear' AND T1.active = 'true' AND T1.stars = 3 AND T1.review_count = 'Low'	public_review_platform
SELECT DISTINCT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Glendale' AND T1.review_count = 'Medium' AND T1.active = 'true'	public_review_platform
SELECT CAST(SUM(CASE WHEN T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food'	public_review_platform
SELECT DISTINCT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.active = 'true' AND T1.city = 'Goodyear' AND T1.stars > ( SELECT AVG(stars) * 0.8 FROM Business WHERE active = 'true' AND city = 'Goodyear' )	public_review_platform
SELECT CAST(COUNT(CASE WHEN class_label = 'Agents' THEN paper_id ELSE NULL END) AS REAL) * 100 / COUNT(paper_id) FROM paper	citeseer
SELECT word_cited_id, COUNT(paper_id) FROM content GROUP BY word_cited_id ORDER BY COUNT(word_cited_id) DESC LIMIT 1	citeseer
SELECT COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'	citeseer
SELECT T1.class_label, T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 315017	citeseer
SELECT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T2.word_cited_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1	citeseer
SELECT CAST(COUNT(DISTINCT CASE WHEN T1.class_label = 'Agents' THEN T2.word_cited_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id	citeseer
SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T1.paper_id, T1.class_label ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1	citeseer
SELECT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1002'	citeseer
SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'	citeseer
SELECT DISTINCT T1.class_label, COUNT(T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 'chakrabarti01integrating' GROUP BY T1.class_label	citeseer
SELECT DISTINCT T1.paper_id, T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id GROUP BY T2.paper_id, T1.class_label HAVING COUNT(T2.word_cited_id) > 20	citeseer
SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI' OR T1.class_label = 'IR'	citeseer
SELECT cited_paper_id, COUNT(cited_paper_id), ( SELECT cited_paper_id FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ), ( SELECT COUNT(cited_paper_id) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) ASC LIMIT 1 ) FROM cites GROUP BY cited_paper_id ORDER BY COUNT(cited_paper_id) DESC LIMIT 1	citeseer
SELECT CAST(COUNT(CASE WHEN class_label = 'ML' THEN paper_id ELSE NULL END) AS REAL) / COUNT(paper_id) FROM paper	citeseer
SELECT DISTINCT T2.word_cited_id FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'sima01computational'	citeseer
SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555'	citeseer
SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163'	citeseer
SELECT T1.paper_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'DB' GROUP BY T1.paper_id ORDER BY COUNT(T2.word_cited_id) DESC LIMIT 1	citeseer
SELECT COUNT(T1.paper_id) FROM paper AS T1 INNER JOIN cites AS T2 ON T1.paper_id = T2.citing_paper_id WHERE T1.class_label = 'ML' AND T2.cited_paper_id = 'butz01algorithmic'	citeseer
SELECT name FROM Person WHERE birthdate IS NOT NULL ORDER BY birthdate ASC LIMIT 1;	simpson_episodes
SELECT nickname FROM Person WHERE name = 'Dan Castellaneta';	simpson_episodes
SELECT COUNT(name) FROM Person WHERE birth_region = 'New York' AND SUBSTR(birthdate, 1, 4) > '1970';	simpson_episodes
SELECT T1.birth_country FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner';	simpson_episodes
SELECT T2.award FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.result = 'Winner';	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Nominee' AND T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.year = 2009;	simpson_episodes
SELECT DISTINCT T1.character FROM Character_Award AS T1 INNER JOIN Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Lost Verizon';	simpson_episodes
SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2008-10-19';	simpson_episodes
SELECT T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Dan Castellaneta';	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' AND T2.stars = 7;	simpson_episodes
SELECT T2.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' ORDER BY T2.votes DESC LIMIT 1;	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.votes > 200 AND T2.stars = 10;	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.stars = 10 AND T2.percent > 15;	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 7 ORDER BY T2.votes DESC LIMIT 1;	simpson_episodes
SELECT CAST(SUM(T2.votes * T2.stars) AS REAL) / SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon';	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.award_category = 'Primetime Emmy' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.rating > 7 AND T1.result = 'Nominee';	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie';	simpson_episodes
SELECT T2.role, T1.episode, T1.number_in_series FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Matt Groening' AND T1.title = 'In the Name of the Grandfather';	simpson_episodes
SELECT T1.title, T1.summary FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'eviction';	simpson_episodes
SELECT AVG(T2.stars) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Wedding for Disaster';	simpson_episodes
SELECT T1.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22';	simpson_episodes
SELECT DISTINCT T1.birth_name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.role = 'Helen Lovejoy';	simpson_episodes
SELECT CAST(SUM(CASE WHEN T2.credited = 'false' THEN 1 END) AS REAL) * 100 / SUM(CASE WHEN T2.credited = 'true' THEN 1 END), T3.title, T2.person FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2017' AND T1.award_category = 'Jupiter Award' AND T1.award = 'Best International TV Series' AND T1.result = 'Winner';	simpson_episodes
SELECT COUNT(episode_id) FROM Episode WHERE votes > 1000;	simpson_episodes
SELECT COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA';	simpson_episodes
SELECT award_id, award_category FROM Award WHERE person = 'Marc Wilmore';	simpson_episodes
SELECT COUNT(name) FROM Person WHERE nickname IS NOT NULL;	simpson_episodes
SELECT AVG(height_meters) FROM Person;	simpson_episodes
SELECT MAX(votes) - MIN(votes) FROM Vote;	simpson_episodes
SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009 AND T1.award = 'Outstanding Voice-Over Performance';	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.year = 2009 AND T2.award = 'Comedy Series' AND T1.birth_region = 'California';	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2017' AND T1.award = 'Best International TV Series' AND T1.result = 'Winner';	simpson_episodes
SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.credited = 'false';	simpson_episodes
SELECT DISTINCT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword IN ('riot', 'cake');	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 10 ORDER BY T1.votes DESC LIMIT 1;	simpson_episodes
SELECT DISTINCT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.air_date, 6, 2) BETWEEN '10' AND '11';	simpson_episodes
SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Treehouse of Horror XIX' AND T2.role = 'director';	simpson_episodes
SELECT COUNT(DISTINCT T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 5;	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.award = 'Outstanding Voice-Over Performance' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.episode_id) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.votes > 950 AND T1.year = 2009;	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.title = 'No Loan Again, Naturally' THEN T1.votes ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Coming to Homerica' THEN T1.votes ELSE 0 END) AS ratio FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 5;	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE person = 'Ian Maxtone-Graham' AND organization = 'Writers Guild of America, USA' AND result = 'Nominee';	simpson_episodes
SELECT person FROM Award WHERE result = 'Nominee' GROUP BY person ORDER BY COUNT(person) DESC LIMIT 1;	simpson_episodes
SELECT title FROM Episode ORDER BY rating LIMIT 1;	simpson_episodes
SELECT year FROM Award WHERE result = 'Winner' AND award = 'Favorite Animated Comedy' ORDER BY year DESC LIMIT 1;	simpson_episodes
SELECT COUNT(*) FROM Credit WHERE person = 'Dell Hake' AND credited = 'false';	simpson_episodes
SELECT T2.year - CAST(SUBSTR(T1.birthdate, 1, 4) AS int) AS age FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.organization = 'Primetime Emmy Awards' AND T2.result = 'Winner';	simpson_episodes
SELECT DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.person = 'Dan Castellaneta' AND T1.award = 'Outstanding Voice-Over Performance' AND T1.organization = 'Primetime Emmy Awards' AND T1.year = 2009;	simpson_episodes
SELECT COUNT(T1.episode_id) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2009' AND T2.air_date LIKE '2009-04%';	simpson_episodes
SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009;	simpson_episodes
SELECT SUM(T1.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 10 ORDER BY T1.rating DESC LIMIT 4;	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'No Loan Again, Naturally' AND T2.votes < 50;	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Winner';	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.credited = 'true' AND T2.episode_id = 'S20-E11';	simpson_episodes
SELECT T2.award, T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner' ORDER BY T2.year LIMIT 1;	simpson_episodes
SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes' AND T2.stars = 9;	simpson_episodes
SELECT award, person FROM Award WHERE result = 'Winner' AND SUBSTR(year, 1, 4) = '2009';	simpson_episodes
SELECT name, birthdate FROM Person WHERE birth_place = 'Los Angeles' AND height_meters >= 1.8;	simpson_episodes
SELECT episode, title, rating FROM Episode WHERE SUBSTR(air_date, 1, 7) LIKE '2008-10%';	simpson_episodes
SELECT T1.award_id, T1.award, T1.person FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Homer Simpson' AND T1.result = 'Winner';	simpson_episodes
SELECT DISTINCT T1.award, T1.result, T2.category, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.person = 'Billy Kimball';	simpson_episodes
SELECT T1.person, T1.award, T1.organization, T1.result, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.episode_id = 'S20-E13' AND T2.role = 'assistant director';	simpson_episodes
SELECT T1.birth_country, T1.height_meters, T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Cast' AND T2.credited = 'false';	simpson_episodes
SELECT T3.person, T1.keyword, T1.episode_id FROM Keyword AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Award AS T3 ON T2.episode_id = T3.episode_id WHERE T2.title = 'The Good, the Sad and the Drugly' AND T3.result = 'Nominee';	simpson_episodes
SELECT T2.votes, T2.percent FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.keyword = 'arab stereotype' AND T2.stars = 10;	simpson_episodes
SELECT T1.award, T2.air_date, T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Jupiter Award' AND T1.result = 'Winner';	simpson_episodes
SELECT DISTINCT T3.episode_id, T2.title, T1.keyword FROM Keyword AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Vote AS T3 ON T2.episode_id = T3.episode_id WHERE T3.stars = 1 ORDER BY T3.votes DESC LIMIT 3;	simpson_episodes
SELECT T2.title, T2.episode_image, T1.award, T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.rating BETWEEN 7 AND 10 AND SUBSTR(T2.air_date, 1, 4) = '2008' AND T1.result = 'Nominee';	simpson_episodes
SELECT DISTINCT T1.award, T1.person, T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award_id = 326;	simpson_episodes
SELECT T1.name, T1.birth_place, T2.role, 2022 - CAST(SUBSTR(T1.birthdate, 1, 4) AS int) AS age FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birthdate IS NOT NULL ORDER BY T1.birthdate LIMIT 1;	simpson_episodes
SELECT DISTINCT T2.credited, T2.category, T2.role, T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'North Korea';	simpson_episodes
SELECT T3.rate, T4.person, T4.award, T5.title, T4.role FROM ( SELECT CAST(SUM(CASE WHEN T1.result = 'Winner' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.result IN ('Winner', 'Nominee') THEN 1 ELSE 0 END) AS rate , T1.person, T1.award, T2.title, T1.role FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2010' ) AS T3 INNER JOIN Award AS T4 INNER JOIN Episode AS T5 ON T4.episode_id = T5.episode_id WHERE T4.year = 2010 AND T4.result = 'Winner';	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id ORDER BY T2.stars DESC, T2.votes DESC LIMIT 1;	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE result = 'Winner';	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Primetime Emmy Awards' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T1.result = 'Nominee' GROUP BY T1.episode_id HAVING COUNT(T1.episode_id) = 21;	simpson_episodes
SELECT AVG(T2.stars), T1.summary FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.episode_id = 'S20-E12';	simpson_episodes
SELECT T1.person FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Homer simpson 20' AND T1.organization = 'Primetime Emmy Awards' AND T1.award = 'Outstanding Voice-Over Performance' AND T1.result = 'Winner';	simpson_episodes
SELECT DISTINCT T1.birth_name, T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.name = 'Al Jean';	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE person = 'Billy Kimball' AND SUBSTR(year, 1, 4) = '2010' AND result = 'Nominee';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';	simpson_episodes
SELECT award, award_category FROM Award WHERE result = 'Winner' ORDER BY year DESC LIMIT 1;	simpson_episodes
SELECT CAST(SUM(CASE WHEN result = 'Winner' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(award) AS rate FROM Award;	simpson_episodes
SELECT COUNT(episode_id) FROM Episode WHERE air_date LIKE '2008-10%' OR air_date LIKE '2008-11%';	simpson_episodes
SELECT episode_id FROM Episode WHERE air_date LIKE '2009%' ORDER BY rating LIMIT 1;	simpson_episodes
SELECT DISTINCT category, role FROM Credit WHERE person = 'Bonita Pietila';	simpson_episodes
SELECT name FROM Person WHERE birthdate = '1957-10-29' AND birth_place = 'Chicago' AND birth_region = 'Illinois';	simpson_episodes
SELECT DISTINCT person FROM Credit WHERE role = 'producer';	simpson_episodes
SELECT T1.year - T2.birthdate AS ageIn2009, T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person = T2.name WHERE T1.role = 'composer' AND T1.organization = 'Primetime Emmy Awards' AND T1.award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' AND T1.result = 'Nominee' AND T1.year = 2009;	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.episode_id ORDER BY COUNT(*) DESC LIMIT 1;	simpson_episodes
SELECT birth_place FROM Person WHERE name = 'Dan Castellaneta';	simpson_episodes
SELECT COUNT(name) FROM Person WHERE birth_country = 'USA';	simpson_episodes
SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) < '1970';	simpson_episodes
SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1958' AND birth_place = 'California' AND birth_country = 'USA';	simpson_episodes
SELECT episode_id FROM Vote WHERE stars = 5 AND votes > 100;	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Double, Double, Boy in Trouble';	simpson_episodes
SELECT DISTINCT T1.episode FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.episode BETWEEN 10 AND 20 AND T2.votes > 200;	simpson_episodes
SELECT T2.keyword FROM Award AS T1 INNER JOIN Keyword AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy';	simpson_episodes
SELECT T1.person FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy' ORDER BY T2.votes DESC LIMIT 1;	simpson_episodes
SELECT DISTINCT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.stars = 10;	simpson_episodes
SELECT T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.role = 'director' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.title = 'No Loan Again, Naturally';	simpson_episodes
SELECT T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2009' AND T1.role = 'writer' AND T2.votes > 5;	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'WGA Award (TV)' AND T1.birth_country = 'USA' AND T2.year BETWEEN 2009 AND 2010;	simpson_episodes
SELECT DISTINCT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.role = 'composer' AND T1.award = 'Outstanding Music Composition for a Series (Original Dramatic Score)' AND T2.votes > 200;	simpson_episodes
SELECT T2.episode_id FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Al Jean' AND T1.award_category = 'Primetime Emmy';	simpson_episodes
SELECT SUM(CASE WHEN T1.episode = 1 THEN T2.votes ELSE 0 END) - SUM(CASE WHEN T1.episode = 5 THEN T2.votes ELSE 0 END) AS diff FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id;	simpson_episodes
SELECT DISTINCT T1.award FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009 AND T2.character = 'Homer Simpson';	simpson_episodes
SELECT SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)';	simpson_episodes
SELECT SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'Primetime Emmy' AND T2.person = 'Dan Castellaneta';	simpson_episodes
SELECT person FROM Award WHERE result = 'Nominee' AND award = 'Outstanding Voice-Over Performance' AND episode_id LIKE 'S20%' LIMIT 2;	simpson_episodes
SELECT COUNT(*) FROM Award WHERE role = 'executive producer' AND result = 'Nominee' AND award = 'Outstanding Animated Program (For Programming Less Than One Hour)';	simpson_episodes
SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1962' AND birth_region = 'California';	simpson_episodes
SELECT COUNT(name) FROM Person WHERE height_meters > 1.70 AND birth_country = 'Canada';	simpson_episodes
SELECT COUNT(*) FROM Award WHERE award = 'Animation' AND result = 'Nominee';	simpson_episodes
SELECT title FROM Episode WHERE rating BETWEEN 7 AND 10 LIMIT 3;	simpson_episodes
SELECT episode_id FROM Episode ORDER BY votes DESC LIMIT 5;	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = ( SELECT MIN(stars) FROM Vote ) ORDER BY T2.votes DESC LIMIT 3;	simpson_episodes
SELECT DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award LIKE '%Voice-Over%' AND T1.person = 'Dan Castellaneta';	simpson_episodes
SELECT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' ORDER BY T2.votes DESC LIMIT 1;	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = '1930s to 2020s' LIMIT 2;	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2010' AND T1.person = 'Joel H. Cohen';	simpson_episodes
SELECT SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lisa the Drama Queen' AND T2.stars = 5;	simpson_episodes
SELECT T2.votes FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 AND T1.keyword = 'reference to the fantastic four';	simpson_episodes
SELECT SUM(CASE WHEN T2.stars = 10 THEN T2.votes ELSE 0 END) - SUM(CASE WHEN T2.stars = 1 THEN T2.votes ELSE 0 END) AS Difference FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'The Burns and the Bees';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id ORDER BY T1.votes LIMIT 1;	simpson_episodes
SELECT DISTINCT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 2 AND T2.votes > 20 AND T1.rating > 5.0 AND T1.rating <= 7.0;	simpson_episodes
SELECT episode FROM Episode WHERE votes = ( SELECT MAX(votes) FROM Episode );	simpson_episodes
SELECT name FROM Person ORDER BY birthdate ASC LIMIT 1;	simpson_episodes
SELECT episode_id FROM Credit WHERE person = 'Oscar Cervantes' AND credited = 'true';	simpson_episodes
SELECT T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birth_country != 'USA';	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 1 ORDER BY T1.rating LIMIT 1;	simpson_episodes
SELECT DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND T1.result = 'Winner';	simpson_episodes
SELECT T1.summary FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Emily Blunt';	simpson_episodes
SELECT T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'The Tiny Canadian';	simpson_episodes
SELECT T1.episode_id FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 5 ORDER BY T2.percent DESC LIMIT 1;	simpson_episodes
SELECT DISTINCT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'In the Name of the Grandfather' AND T2.category = 'Cast' AND T2.credited = 'true';	simpson_episodes
SELECT T1.birthdate FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner';	simpson_episodes
SELECT T1.person FROM Credit AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.role = 'Writer' AND T2.stars = 10 GROUP BY T1.person ORDER BY COUNT(*) DESC LIMIT 1;	simpson_episodes
SELECT T1.award FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Winner' AND T2.air_date = '2008-11-30';	simpson_episodes
SELECT DISTINCT person, name, birthdate, birth_name, birth_place , birth_region, birth_country, height_meters, nickname FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Music Department';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.number_in_series = 426;	simpson_episodes
SELECT DISTINCT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 7 AND T2.votes > 0.7 * ( SELECT CAST(COUNT(votes) AS REAL) / COUNT(CASE WHEN stars = 7 THEN 1 ELSE 0 END) FROM Vote );	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.result = 'Nominee' THEN T2.votes ELSE 0 END) AS REAL) * 100 / SUM(T2.votes) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id;	simpson_episodes
SELECT name FROM Person WHERE nickname IS NOT NULL;	simpson_episodes
SELECT birth_country FROM Person ORDER BY height_meters DESC LIMIT 1;	simpson_episodes
SELECT AVG(height_meters) FROM Person WHERE birth_country = 'USA';	simpson_episodes
SELECT CAST(SUM(CASE WHEN birth_region = 'California' AND SUBSTR(birthdate, 1, 4) > '1970' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(birthdate) FROM Person;	simpson_episodes
SELECT COUNT(name) FROM Person WHERE birth_region != 'Connecticut' AND birth_country != 'USA';	simpson_episodes
SELECT title FROM Episode WHERE episode_id IN ('S20-E1', 'S20-E2', 'S20-E3');	simpson_episodes
SELECT episode_image FROM Episode WHERE episode = 5;	simpson_episodes
SELECT votes FROM Episode WHERE rating > 7;	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.category = 'Casting Department';	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.role = 'additional timer' AND T1.birth_country = 'USA';	simpson_episodes
SELECT COUNT(*) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE STRFTIME(T1.birthdate) > '1970' AND T2.role = 'animation executive producer';	simpson_episodes
SELECT T1.summary FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'false';	simpson_episodes
SELECT T1.rating FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Jason Bikowski';	simpson_episodes
SELECT AVG(T1.height_meters) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Animation Department';	simpson_episodes
SELECT DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award_category = 'Primetime Emmy' AND T1.year = 2009 AND T1.result = 'Winner';	simpson_episodes
SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.award_category = 'Primetime Emmy' AND T1.year BETWEEN 2009 AND 2010 AND T1.result != 'Winner';	simpson_episodes
SELECT SUM(T1.votes) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Adam Kuhlman';	simpson_episodes
SELECT T1.keyword, T2.person FROM Keyword AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode_id = 'S20-E1';	simpson_episodes
SELECT T1.keyword FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 AND T2.percent > 29;	simpson_episodes
SELECT CAST(SUM(CASE WHEN T2.stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes';	simpson_episodes
SELECT CASE WHEN T2.Keyword = 'limbo dancing' THEN 'Yes' ELSE 'No' END AS result FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Dangerous Curves';	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Best International TV Series' AND SUBSTR(T1.year, 1, 4) = '2017';	simpson_episodes
SELECT T2.keyword FROM Award AS T1 INNER JOIN Keyword AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'WGA Award (TV)';	simpson_episodes
SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.role = 'co-executive producer';	simpson_episodes
SELECT T2.stars, SUM(T2.stars) FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Blimp Award' AND T2.stars BETWEEN 1 AND 5 GROUP BY T2.stars;	simpson_episodes
SELECT SUM(T2.rating) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award_category IN ('Jupiter Award ', 'WGA Award (TV)');	simpson_episodes
SELECT SUM(T2.percent) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'No Loan Again, Naturally' AND T1.rating = 6.8 AND T2.stars BETWEEN 5 AND 10;	simpson_episodes
SELECT COUNT(DISTINCT episode_id) FROM Vote WHERE stars > 8;	simpson_episodes
SELECT episode_id FROM Vote ORDER BY votes DESC LIMIT 1;	simpson_episodes
SELECT COUNT(episode_id) FROM Keyword WHERE keyword = '2d animation';	simpson_episodes
SELECT organization FROM Award WHERE award_id = 328;	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009';	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE award_category = 'Primetime Emmy';	simpson_episodes
SELECT T1.birth_name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.role = 'co-executive producer' AND T1.height_meters > 1.60;	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Nominee';	simpson_episodes
SELECT CAST(SUM(CASE WHEN T1.height_meters > 1.75 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.result = 'Winner';	simpson_episodes
SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 2;	simpson_episodes
SELECT T2.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'How the Test Was Won';	simpson_episodes
SELECT COUNT(DISTINCT T2.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE strftime('%Y', T1.air_date) = '2008' AND T2.stars > 5;	simpson_episodes
SELECT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.year = 2009;	simpson_episodes
SELECT DISTINCT T1.year FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Mr. Burns';	simpson_episodes
SELECT DISTINCT T1.award_category FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Lenny';	simpson_episodes
SELECT DISTINCT T1.person FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Smithers';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Dangerous Curves';	simpson_episodes
SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008';	simpson_episodes
SELECT COUNT(DISTINCT T2.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE strftime('%Y', T1.air_date) = '2009' AND T2.stars < 8;	simpson_episodes
SELECT T1.birth_name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.role = 'director' AND T1.birth_country = 'South Korea';	simpson_episodes
SELECT COUNT(award_id) FROM Award WHERE SUBSTR(year, 1, 4) = '2009' AND result = 'Winner';	simpson_episodes
SELECT COUNT(episode_id) FROM Episode WHERE rating < 7;	simpson_episodes
SELECT name FROM Person WHERE birth_region = 'California' AND birth_country = 'USA';	simpson_episodes
SELECT COUNT(credited) FROM Credit WHERE episode_id IN ( 'S20-E5',  'S20-E6',  'S20-E7',  'S20-E8',  'S20-E9',  'S20-E10' ) AND credited = 'true' AND role = 'casting';	simpson_episodes
SELECT episode_id FROM Vote WHERE stars = 2 AND votes = 9;	simpson_episodes
SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Primetime Emmy Awards' AND T1.year = 2009 AND T1.result = 'Winner';	simpson_episodes
SELECT DISTINCT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' AND T2.stars < 5;	simpson_episodes
SELECT T2.category FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Carlton Batten' AND T2.credited = 'true' ORDER BY T1.votes DESC LIMIT 1;	simpson_episodes
SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2008' AND T1.votes BETWEEN 950 AND 960;	simpson_episodes
SELECT T1.episode_id, T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Bonita Pietila' AND T2.role = 'casting';	simpson_episodes
SELECT COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.organization = 'Annie Awards' AND T1.result = 'Nominee' AND T2.percent > 6;	simpson_episodes
SELECT DISTINCT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.votes > 1000 AND T1.award_category = 'WGA Award (TV)' AND T1.result = 'Nominee';	simpson_episodes
SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.role = 'additional timer' AND T2.credited = 'true' AND T2.category = 'Animation Department';	simpson_episodes
SELECT T2.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 7) = '2008-11';	simpson_episodes
SELECT T3.title FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.air_date = '2009-04-19' AND T1.award_category = 'Prism Award' AND T2.stars = 5 AND T1.result = 'Nominee';	simpson_episodes
SELECT T1.award_category FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Nominee' ORDER BY T2.votes DESC LIMIT 1;	simpson_episodes
SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.credited = 'true' AND T2.person = 'Sam Im' AND SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.role = 'additional timer';	simpson_episodes
SELECT DISTINCT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars > 0.7 * ( SELECT AVG(stars) FROM Vote );	simpson_episodes
SELECT CAST((SUM(CASE WHEN T1.result = 'Nominee' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.result = 'Winner' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.result) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.title = 'Gone Maggie Gone' AND T1.year = 2009;	simpson_episodes
SELECT COUNT(name) FROM longest_absense_from_school WHERE `month` = 0	student_loan
SELECT MAX(month) FROM longest_absense_from_school	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` >= 5	student_loan
SELECT T1.name FROM enlist AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.`name` = T2.`name` WHERE T2.`month` > 5	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'navy' AND T2.bool = 'pos'	student_loan
SELECT T1.name, T2.name, T3.name FROM disabled AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` INNER JOIN filed_for_bankrupcy AS T3 ON T1.`name` = T3.`name`	student_loan
SELECT COUNT(name) FROM disabled WHERE name NOT IN ( SELECT name FROM male )	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.`name` = T2.`name`	student_loan
SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'navy' ORDER BY T1.`month` DESC LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` = 0	student_loan
SELECT T2.organ FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` = 9	student_loan
SELECT T2.organ, COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` GROUP BY T2.organ ORDER BY COUNT(T1.name) DESC LIMIT 1	student_loan
SELECT name FROM filed_for_bankrupcy WHERE name NOT IN ( SELECT name FROM male )	student_loan
SELECT CAST(COUNT(T2.name) AS REAL) * 100 / COUNT(T1.name) FROM enlist AS T1 LEFT JOIN male AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'navy'	student_loan
SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name`	student_loan
SELECT name FROM enlist WHERE organ = 'foreign_legion'	student_loan
SELECT bool FROM no_payment_due WHERE name = 'student348'	student_loan
SELECT school FROM enrolled WHERE name = 'student829'	student_loan
SELECT month FROM longest_absense_from_school WHERE name = 'student217'	student_loan
SELECT name FROM longest_absense_from_school WHERE `month` = 6	student_loan
SELECT organ FROM enlist WHERE name = 'student285'	student_loan
SELECT T2.name, T1.school FROM enrolled AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name` WHERE T1.name = 'student281'	student_loan
SELECT T1.name, T1.school FROM enrolled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'air_force'	student_loan
SELECT T1.name FROM no_payment_due AS T1 INNER JOIN person AS T2 ON T1.`name` = T2.`name` WHERE T2.`name` NOT IN ( SELECT name FROM male ) AND T1.bool = 'neg'	student_loan
SELECT T2.organ, T1.name FROM no_payment_due AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T1.bool = 'pos' LIMIT 5	student_loan
SELECT T2.name FROM enrolled AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name` WHERE T1.school = 'smc'	student_loan
SELECT T2.name FROM enlist AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.`name` = T2.`name` WHERE T1.organ = 'foreign_legion'	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN male AS T2 ON T1.name = T2.name WHERE T1.bool = 'neg'	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'marines' AND T1.`month` = 6	student_loan
SELECT T2.name FROM enrolled AS T1 INNER JOIN unemployed AS T2 ON T1.`name` = T2.`name` WHERE T1.school = 'smc'	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.`name` = T2.name WHERE T1.`month` = 6	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T1.`name` = T2.`name` WHERE T2.school = 'ucsd' AND T1.organ = 'peace_corps'	student_loan
SELECT T2.month, T1.organ FROM enlist AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.`name` = T2.`name` WHERE T1.name = 'student21'	student_loan
SELECT CAST(SUM(IIF(T1.bool = 'pos', 1, 0)) AS REAL) * 100 / SUM(IIF(T1.bool = 'neg', 1, 0)) FROM no_payment_due AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'foreign_legion'	student_loan
SELECT CAST(SUM(IIF(T1.school = 'occ', 1.0, 0)) AS REAL) * 100 / COUNT(T1.name) FROM enrolled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'navy'	student_loan
SELECT name FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school )	student_loan
SELECT COUNT(name) FROM person	student_loan
SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school )	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month = 4	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name	student_loan
SELECT DISTINCT T2.organ FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name`	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name INNER JOIN no_payment_due AS T3 ON T2.name = T3.name WHERE T3.bool = 'pos'	student_loan
SELECT IIF(T2.name IS NULL, 'female', 'male') FROM male AS T1 LEFT JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.name = 'student124'	student_loan
SELECT ( SELECT COUNT(name) FROM disabled WHERE name IN ('student180', 'student117') ), ( SELECT COUNT(name) FROM unemployed WHERE name IN ('student180', 'student117') ), ( SELECT COUNT(name) FROM male WHERE name IN ('student180', 'student117') ), ( SELECT COUNT(name) FROM no_payment_due WHERE name IN ('student180', 'student117'))	student_loan
SELECT COUNT(name) FROM enlist WHERE organ IN ('marines', 'air_force') AND name NOT IN ( SELECT name FROM male )	student_loan
SELECT T1.school, T2.organ FROM enrolled AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T1.`name` IN ('student27,student17,studetn101')	student_loan
SELECT CAST(SUM(IIF(T2.name IS NULL, 1, 0)) AS REAL) * 100 / COUNT(T2.name) FROM disabled AS T1 LEFT JOIN male AS T2 ON T1.`name` = T2.`name`	student_loan
SELECT COUNT(name) FROM person WHERE name NOT IN ( SELECT name FROM male ) AND name NOT IN ( SELECT name FROM enrolled )	student_loan
SELECT T1.name FROM filed_for_bankrupcy AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg'	student_loan
SELECT AVG(month) FROM longest_absense_from_school	student_loan
SELECT AVG(month) FROM longest_absense_from_school WHERE name NOT IN ( SELECT name FROM unemployed )	student_loan
SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name	student_loan
SELECT organ FROM enlist WHERE name = 'studenT113'	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'fire_department'	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month = 0	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 2	student_loan
SELECT COUNT(name) FROM no_payment_due WHERE bool = 'neg'	student_loan
SELECT COUNT(name) FROM no_payment_due WHERE bool = 'pos'	student_loan
SELECT T1.name FROM disabled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name WHERE T2.month = 0	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM male AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'foreign_legion'	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'air_force' AND name NOT IN ( SELECT name FROM male )	student_loan
SELECT T1.name FROM disabled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name ORDER BY T2.month DESC LIMIT 1	student_loan
SELECT T1.name FROM unemployed AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines'	student_loan
SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name	student_loan
SELECT CAST(SUM(IIF(T1.month > 5, 1, 0)) AS REAL) * 100 / COUNT(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name INNER JOIN disabled AS T3 ON T2.name = T3.name WHERE T1.month = 8	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name WHERE T1.month = 0	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.month = 3	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name WHERE T1.month = 0	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT IIF(T.result = 0, 'female', 'male') AS re FROM ( SELECT COUNT(name) AS result FROM male WHERE name = 'studenT1000' ) T	student_loan
SELECT COUNT(name) FROM disabled	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 6	student_loan
SELECT name FROM longest_absense_from_school WHERE month = ( SELECT MAX(month) FROM longest_absense_from_school )	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'army'	student_loan
SELECT AVG(month) FROM longest_absense_from_school	student_loan
SELECT COUNT(name) FROM enlist WHERE organ IN ('army', 'peace_corps', 'foreign_legion')	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.organ = 'marines'	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'pos'	student_loan
SELECT T2.name FROM male AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name <> T2.name WHERE T2.month = 0	student_loan
SELECT T.school FROM ( SELECT T2.school, COUNT(T2.name) AS num FROM disabled AS T1 INNER JOIN enrolled AS T2 ON T1.name = T2.name GROUP BY T2.school ) T ORDER BY T.num DESC LIMIT 1	student_loan
SELECT T2.organ FROM filed_for_bankrupcy AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name	student_loan
SELECT COUNT(T.a) FROM ( SELECT COUNT(DISTINCT T1.name) AS a, COUNT(T2.organ) AS num FROM male AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name GROUP BY T1.name ) T WHERE T.num > 1	student_loan
SELECT T1.name FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM enrolled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name WHERE T1.school = 'smc' AND T2.month = 7	student_loan
SELECT T1.name FROM disabled AS T1 INNER JOIN male AS T2 ON T1.name <> T2.name	student_loan
SELECT CAST(( SELECT COUNT(name) FROM unemployed ) AS REAL ) / ( SELECT COUNT(name) FROM disabled )	student_loan
SELECT CAST(COUNT(T2.name) AS REAL) * 100 / COUNT(T1.name) FROM enlist AS T1 LEFT JOIN male AS T2 ON T1.name = T2.name WHERE T1.organ = 'fire_department'	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month = 5	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'army'	student_loan
SELECT COUNT(name) FROM enrolled WHERE school = 'ucla'	student_loan
SELECT name FROM longest_absense_from_school ORDER BY month DESC LIMIT 5	student_loan
SELECT COUNT(name) FROM enlist WHERE organ >= 2	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM male AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg'	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T1.name = T2.name WHERE T1.organ = 'peace_corps' AND T2.school = 'ucsd'	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg'	student_loan
SELECT COUNT(name) FROM no_payment_due WHERE name NOT IN ( SELECT name FROM male )	student_loan
SELECT COUNT(T2.name) FROM longest_absense_from_school AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name WHERE T1.month = 0	student_loan
SELECT T1.name FROM no_payment_due AS T1 INNER JOIN enlist AS T2 ON T2.name = T1.name WHERE T1.bool = 'neg' AND T2.organ = 'fire_department' LIMIT 10	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'navy' AND name NOT IN ( SELECT name FROM male )	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name WHERE T1.organ = 'army'	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name WHERE T1.bool = 'pos'	student_loan
SELECT T1.name FROM no_payment_due AS T1 INNER JOIN enlist AS T2 ON T2.name = T1.name WHERE T2.organ = 'peace_corps' AND T1.bool = 'pos' LIMIT 5	student_loan
SELECT COUNT(name) FROM disabled WHERE name NOT IN ( SELECT name FROM male )	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN no_payment_due AS T2 ON T2.name = T1.name WHERE T2.bool = 'pos'	student_loan
SELECT CAST(SUM(IIF(T3.name IS NULL, 1, 0)) AS REAL) / COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T2.name = T3.name WHERE T2.organ = 'foreign_legion'	student_loan
SELECT CAST(SUM(IIF(T2.name IS NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name), CAST(SUM(IIF(T2.name IS NOT NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name) FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name WHERE T1.organ = 'fire_department'	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'navy'	student_loan
SELECT CAST(SUM(IIF(month = 0, 1, 0)) AS REAL) * 100 / COUNT(name) FROM longest_absense_from_school	student_loan
SELECT CAST(SUM(IIF(`bool` = 'pos', 1, 0)) AS REAL) / SUM(IIF(`bool` = 'neg', 1, 0)) FROM no_payment_due	student_loan
SELECT name, school FROM enrolled WHERE month = 15	student_loan
SELECT CAST(COUNT(NAME) AS REAL) * 100 / COUNT(DISTINCT organ) FROM enlist	student_loan
SELECT school, month FROM enrolled WHERE name = 'student214'	student_loan
SELECT CAST(COUNT(T2.name) AS REAL) * 100 / COUNT(T1.name) FROM person AS T1 LEFT JOIN disabled AS T2 ON T2.name = T1.name	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 LEFT JOIN longest_absense_from_school AS T2 ON T2.name = T1.name WHERE T2.month = 9	student_loan
SELECT name FROM person WHERE name NOT IN ( SELECT name FROM filed_for_bankrupcy )	student_loan
SELECT T1.name FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name WHERE T2.name IS NULL AND T1.organ = 'air_force' LIMIT 5	student_loan
SELECT COUNT(CASE  WHEN T2.name IS NULL THEN T1.name END) AS "number" FROM person AS T1 LEFT JOIN disabled AS T2 ON T2.name = T1.name	student_loan
SELECT IIF(T2.name IS NULL, 'female', 'male') AS gen , T1.school FROM enrolled AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name WHERE T1.name = 'student995'	student_loan
SELECT T1.name FROM disabled AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name LIMIT 5	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T2.name = T1.name	student_loan
SELECT T2.name, T2.organ FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T2.name = T1.name WHERE T1.month = 4 LIMIT 5	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name WHERE T1.bool = 'pos'	student_loan
SELECT T1.organ, T2.bool FROM enlist AS T1 INNER JOIN no_payment_due AS T2 ON T2.name = T1.name WHERE T1.name = 'student160'	student_loan
SELECT T1.name FROM enlist AS T1 INNER JOIN male AS T2 ON T2.name = T1.name WHERE T1.organ = 'foreign_legion' LIMIT 10	student_loan
SELECT CAST(SUM(IIF(T2.name IS NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name) FROM person AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name	student_loan
SELECT COUNT(name) FROM filed_for_bankrupcy	student_loan
SELECT COUNT(name) FROM enrolled WHERE school = 'smc' AND month = 1	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'air_force'	student_loan
SELECT organ FROM enlist WHERE name = 'student168'	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name INNER JOIN enlist AS T3 ON T3.name = T2.name	student_loan
SELECT COUNT(T1.name) FROM enrolled AS T1 INNER JOIN disabled AS T2 ON T2.name = T1.name GROUP BY T1.school	student_loan
SELECT IIF(T2.name IS NULL, 'female', 'male') AS gender FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name GROUP BY T1.organ	student_loan
SELECT T.name FROM ( SELECT T1.name, COUNT(T1.organ) AS num FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T1.name = T2.name GROUP BY T1.name ) T WHERE T.num = 2	student_loan
SELECT CAST(((SUM(IIF(month = 0, 1, 0)) - SUM(IIF(month = 9, 1, 0)))) AS REAL) * 100 / SUM(IIF(month = 0, 1, 0)) FROM longest_absense_from_school	student_loan
SELECT T.school, num FROM ( SELECT T1.school, COUNT(T2.name) AS num FROM enrolled AS T1 LEFT JOIN filed_for_bankrupcy AS T2 ON T2.name = T1.name GROUP BY T1.school ) T ORDER BY T.num DESC LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN unemployed AS T2 ON T2.name = T1.name	student_loan
SELECT T1.name FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T2.name = T1.name WHERE T2.school = 'occ' AND T1.organ = 'fire_department'	student_loan
SELECT T1.name FROM unemployed AS T1 INNER JOIN disabled AS T2 ON T2.name = T1.name INNER JOIN longest_absense_from_school AS T3 ON T3.name = T2.name WHERE T3.month = 5	student_loan
SELECT name FROM enrolled WHERE school IN ('occ', 'ulca') AND name NOT IN ( SELECT name FROM male )	student_loan
SELECT T2.school, T1.organ FROM enlist AS T1 INNER JOIN enrolled AS T2 ON T2.name = T1.name WHERE T1.name = 'student211'	student_loan
SELECT COUNT(T2.name) - SUM(IIF(T2.name IS NULL, 1, 0)) AS num FROM filed_for_bankrupcy AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name	student_loan
SELECT AVG(T2.month) AS avg FROM unemployed AS T1 INNER JOIN longest_absense_from_school AS T2 ON T2.name = T1.name INNER JOIN male AS T3 ON T3.name = T2.name	student_loan
SELECT CAST((SUM(IIF(T2.name IS NOT NULL AND T1.month = 0, 1, 0)) - SUM(IIF(T2.name IS NULL AND T1.month = 0, 1, 0))) AS REAL) * 100 / COUNT(T1.name), IIF(SUM(IIF(T2.name IS NOT NULL AND T1.month = 0, 1, 0)) - SUM(IIF(T2.name IS NULL AND T1.month = 0, 1, 0)) > 0, 'YES', 'NO') AS isHigh FROM longest_absense_from_school AS T1 LEFT JOIN disabled AS T2 ON T2.name = T1.name	student_loan
SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T2.name = T1.name INNER JOIN male AS T3 ON T3.name = T2.name	student_loan
SELECT CAST(SUM(IIF(T2.month = 0, 1, 0)) AS REAL) * 100 / COUNT(T1.name) FROM unemployed AS T1 INNER JOIN longest_absense_from_school AS T2 ON T2.name = T1.name	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN male AS T2 ON T2.name = T1.name WHERE T1.bool = 'pos'	student_loan
SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN no_payment_due AS T2 ON T2.name = T1.name WHERE T2.bool = 'pos'	student_loan
SELECT `bool` FROM no_payment_due WHERE name = 'student124'	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.bool = 'neg'	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg' ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T1.month = 5 AND T2.bool = 'neg'	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines'	student_loan
SELECT COUNT(T1.NAME) FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'peace_corps' ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM enlist AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name WHERE T1.organ = 'navy'	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T1.bool = 'pos' AND T2.organ = 'marines'	student_loan
SELECT 100 * SUM(IIF(T2.month = 0, 1, 0)) AS num FROM disabled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'air_force'	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month < 4	student_loan
SELECT COUNT(*) FROM person AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T1.name = T3.name WHERE T2.organ = 'marines' AND T3.name IS NULL	student_loan
SELECT AVG(T2.month) FROM person AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T1.name = T3.name WHERE T3.name IS NULL	student_loan
SELECT T1.name FROM person AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T1.name = T3.name WHERE T3.name IS NULL	student_loan
SELECT bool FROM no_payment_due WHERE name = 'student299'	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'air_force'	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month > 1	student_loan
SELECT name FROM enlist WHERE organ = 'fire_department'	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.bool = 'pos'	student_loan
SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN enrolled AS T2 ON T1.name = T2.name WHERE T2.school = 'occ'	student_loan
SELECT COUNT(T1.name) FROM male AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name	student_loan
SELECT T1.name FROM enlist AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.organ = 'navy'	student_loan
SELECT T1.name FROM male AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'pos'	student_loan
SELECT T1.bool FROM no_payment_due AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name WHERE T1.name = 'student110'	student_loan
SELECT CAST(COUNT(T2.name) AS REAL) * 100 / COUNT(T1.name) FROM person AS T1 LEFT JOIN male AS T2 ON T1.name = T2.name	student_loan
SELECT T1.school , IIF(T3.name IS NULL, 'female', 'male') AS gender FROM enrolled AS T1 INNER JOIN person AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T2.name = T3.name WHERE T2.name = 'student34'	student_loan
SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'fire_department' ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T1.month = 1 AND T2.organ = 'air_force'	student_loan
SELECT T2.NAME FROM unemployed AS T1 INNER JOIN male AS T2 ON T1.name = T2.name INNER JOIN disabled AS T3 ON T3.name = T2.name	student_loan
SELECT COUNT(T1.name) FROM enrolled AS T1 INNER JOIN male AS T2 ON T1.name = T2.name WHERE T1.school = 'occ'	student_loan
SELECT CAST(COUNT(T4.name) AS REAL) * 100 / COUNT(T2.name) FROM enlist AS T1 INNER JOIN person AS T2 ON T1.name = T2.name INNER JOIN enrolled AS T3 ON T3.name = T2.name LEFT JOIN male AS T4 ON T2.name = T4.name WHERE T3.school = 'ucla' AND T1.organ = 'air_force'	student_loan
SELECT CAST(SUM(IIF(T1.school = 'uci' AND T4.name IS NULL, 1, 0)) AS REAL) / COUNT(T1.name) FROM enrolled AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name INNER JOIN person AS T3 ON T1.name = T3.name LEFT JOIN male AS T4 ON T3.name = T4.name	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month = 0	student_loan
SELECT name FROM enlist WHERE organ = 'marines'	student_loan
SELECT COUNT(name) FROM enlist WHERE organ = 'navy'	student_loan
SELECT name FROM longest_absense_from_school WHERE month = ( SELECT MAX(month) FROM longest_absense_from_school )	student_loan
SELECT organ FROM ( SELECT organ, COUNT(organ) AS num FROM enlist GROUP BY organ ) T ORDER BY T.num DESC LIMIT 1	student_loan
SELECT COUNT(name) FROM longest_absense_from_school WHERE month < 3	student_loan
SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN unemployed AS T2 ON T1.name = T2.name WHERE T1.bool = 'pos'	student_loan
SELECT SUM(IIF(T3.name IS NULL, 1, 0)) AS "result" FROM enlist AS T1 INNER JOIN person AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T2.name = T3.name WHERE T1.organ = 'army'	student_loan
SELECT T.organ FROM ( SELECT T2.organ, COUNT(T1.name) AS num FROM male AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name GROUP BY T2.organ ) T ORDER BY T.num LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN longest_absense_from_school AS T2 ON T1.name = T2.name WHERE T2.month = 0	student_loan
SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name	student_loan
SELECT T1.name FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.month > 5	student_loan
SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines'	student_loan
SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name	student_loan
SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name ORDER BY T1.month DESC LIMIT 1	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name INNER JOIN enlist AS T3 ON T3.name = T2.name WHERE T3.organ = 'fire_department'	student_loan
SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name INNER JOIN unemployed AS T3 ON T3.name = T2.name WHERE T1.month = 0	student_loan
SELECT T.organ, T.per FROM ( SELECT T1.organ, CAST(COUNT(T3.name) AS REAL) / COUNT(T2.name) AS per , COUNT(T3.name) AS num FROM enlist AS T1 INNER JOIN person AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T2.name = T3.name GROUP BY T1.organ ) T ORDER BY T.num DESC LIMIT 1	student_loan
SELECT COUNT(QuestionID) FROM Answer WHERE QuestionID = 19 AND AnswerText LIKE 'No'	mental_health_survey
SELECT SurveyID, COUNT(UserID) FROM Answer WHERE QuestionID = 13 AND SurveyID BETWEEN 2016 AND 2019 GROUP BY SurveyID	mental_health_survey
SELECT T1.UserID FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.SurveyID = 2018 AND T2.questionid = 1 AND T1.AnswerText BETWEEN '27' AND '35'	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN ( SELECT T2.questionid FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.SurveyID = 2019 AND T2.questionid = 6 AND T1.AnswerText LIKE 'Yes' ) AS T2 ON T1.QuestionID = T2.questionid WHERE T1.SurveyID = 2019 AND T2.questionid = 3 AND T1.AnswerText LIKE 'United States'	mental_health_survey
SELECT T1.SurveyID FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.SurveyID BETWEEN 2016 AND 2019 AND T2.questionid = 34 AND T1.AnswerText LIKE 'Yes' GROUP BY T1.SurveyID ORDER BY COUNT(T1.UserID) DESC LIMIT 1	mental_health_survey
SELECT COUNT(*) FROM ( SELECT T2.UserID FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID INNER JOIN Survey AS T3 ON T2.SurveyID = T3.SurveyID WHERE T3.Description = 'mental health survey for 2017' AND T1.questionid = 2 AND T2.AnswerText = 'Female' UNION SELECT T2.UserID FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID INNER JOIN Survey AS T3 ON T2.SurveyID = T3.SurveyID WHERE T1.questionid = 4 AND T2.AnswerText = 'Nebraska' AND T3.Description = 'mental health survey for 2017' )	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 54 AND T1.AnswerText LIKE 'Yes'	mental_health_survey
SELECT MAX(T1.AnswerText), MIN(T1.AnswerText) , ( SELECT T1.UserID FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 1 ORDER BY T1.AnswerText LIMIT 1 ) AS "youngest id" FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 1	mental_health_survey
SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 3 GROUP BY T1.AnswerText ORDER BY COUNT(T1.UserID) DESC LIMIT 1	mental_health_survey
SELECT CAST(SUM(T1.AnswerText) AS REAL) / COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN ( SELECT T1.UserID FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 3 AND T1.AnswerText = 'United States' ) AS T2 ON T1.UserID = T2.UserID INNER JOIN Question AS T3 ON T1.QuestionID = T3.questionid WHERE T3.questionid = 1	mental_health_survey
SELECT CAST(SUM(CASE  WHEN T1.AnswerText LIKE 'Yes' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 12	mental_health_survey
SELECT COUNT(QuestionID) FROM Answer WHERE SurveyID LIKE 2014 GROUP BY QuestionID ORDER BY COUNT(QuestionID) > 200 LIMIT 1	mental_health_survey
SELECT T2.AnswerText FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'What is your age?' AND T2.SurveyID = 2014 ORDER BY T2.AnswerText DESC LIMIT 1	mental_health_survey
SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'Would you bring up a mental health issue with a potential employer in an interview?' AND T2.SurveyID = 2014 AND T2.AnswerText LIKE 'NO'	mental_health_survey
SELECT T2.UserID FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'Do you think that discussing a physical health issue with your employer would have negative consequences?' AND T2.AnswerText LIKE 'Yes' AND T2.SurveyID = 2014	mental_health_survey
SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2014'	mental_health_survey
SELECT T2.AnswerText FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'Any additional notes or comments' AND T2.SurveyID = 2014 AND T2.AnswerText <> -1	mental_health_survey
SELECT T1.questiontext FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID IN (2014, 2016) GROUP BY T1.questiontext	mental_health_survey
SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2018 AND T1.questiontext = 'What country do you live in?' AND T2.AnswerText = 'Canada'	mental_health_survey
SELECT T2.questiontext FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid INNER JOIN Survey AS T3 ON T1.SurveyID = T3.SurveyID WHERE T3.Description LIKE 'mental health survey for 2014' GROUP BY T2.questiontext	mental_health_survey
SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Have you had a mental health disorder in the past?' AND T2.AnswerText = 'Yes'	mental_health_survey
SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID IN (2016, 2017, 2018) AND T1.questiontext LIKE 'Have you had a mental health disorder in the past?' AND T2.AnswerText = 'Yes'	mental_health_survey
SELECT CAST(SUM(T2.AnswerText) AS REAL) / COUNT(T2.UserID) AS "avg" FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2014 AND T1.questiontext LIKE 'What is your age?'	mental_health_survey
SELECT CAST(( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2019 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) - ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' ) AS REAL) * 100 / ( SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T2.SurveyID = 2016 AND T1.questiontext LIKE 'Do you currently have a mental health disorder?' AND T2.AnswerText = 'Yes' )	mental_health_survey
SELECT questionid FROM Question WHERE questiontext LIKE 'Would you bring up a physical health issue with a potential employer in an interview?'	mental_health_survey
SELECT MAX(UserID) - MIN(UserID) + 1 FROM Answer WHERE QuestionID = 20	mental_health_survey
SELECT COUNT(QuestionID) FROM Answer WHERE UserID = 5	mental_health_survey
SELECT COUNT(DISTINCT UserID) FROM Answer WHERE SurveyID LIKE 2016	mental_health_survey
SELECT COUNT(T1.QuestionID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018'	mental_health_survey
SELECT COUNT(DISTINCT T1.QuestionID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid INNER JOIN Survey AS T3 ON T1.SurveyID = T3.SurveyID WHERE T2.questiontext = 'What country do you work in?'	mental_health_survey
SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext = 'Do you currently have a mental health disorder?' AND T1.UserID = 2681	mental_health_survey
SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2016'	mental_health_survey
SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext = 'What country do you work in?' GROUP BY T1.AnswerText ORDER BY COUNT(T1.AnswerText) DESC LIMIT 1	mental_health_survey
SELECT COUNT(DISTINCT T1.AnswerText) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Describe the conversation you had with your previous employer about your mental health, including their reactions and actions taken to address your mental health issue/questions.'	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'What US state or territory do you work in?' AND T1.AnswerText = 'Kansas'	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Any additional notes or comments' AND T1.AnswerText IS NOT NULL	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Have you ever been diagnosed with a mental health disorder?' AND T1.AnswerText = 'Yes'	mental_health_survey
SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018'	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Overall, how much importance does your employer place on physical health?'	mental_health_survey
SELECT T1.AnswerText FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questionid = 2183 AND T1.AnswerText = 'Mood Disorder (Depression, Bipolar Disorder, etc)'	mental_health_survey
SELECT CAST(SUM(CASE  WHEN T1.AnswerText LIKE 'Yes' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T2.questiontext LIKE 'Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?'	mental_health_survey
SELECT CAST(COUNT(T1.UserID) AS REAL) / ( SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018' ) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2017'	mental_health_survey
SELECT CAST(SUM(CASE  WHEN T1.AnswerText LIKE 'Yes' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.SurveyID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 32 AND T1.SurveyID = 2016	mental_health_survey
SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 1 AND T1.SurveyID = 2016 AND T1.AnswerText <= 25	mental_health_survey
SELECT CAST(COUNT(SurveyID) AS REAL) / 5 FROM Answer WHERE SurveyID BETWEEN 2014 AND 2019	mental_health_survey
SELECT COUNT(T1.UserID) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 7 AND T1.SurveyID = 2019 AND T1.AnswerText = 1	mental_health_survey
SELECT COUNT(T1.AnswerText) FROM Answer AS T1 INNER JOIN Question AS T2 ON T1.QuestionID = T2.questionid WHERE T1.QuestionID = 93 AND T1.SurveyID = 2014 AND T1.AnswerText = 'Yes'	mental_health_survey
SELECT COUNT(questiontext) FROM Question	mental_health_survey
SELECT COUNT(AnswerText) FROM Answer WHERE AnswerText LIKE 'Substance Use Disorder'	mental_health_survey
SELECT AnswerText FROM Answer WHERE QuestionID = 85 AND SurveyID = 2017 GROUP BY AnswerText ORDER BY COUNT(AnswerText) DESC LIMIT 3	mental_health_survey
SELECT SUM(CASE WHEN `Year` = 1998 THEN Total ELSE 0 END) - SUM(CASE WHEN `Year` = 1997 THEN Total ELSE 0 END) FROM revenue	disney
SELECT CASE WHEN 'Studio Entertainment[NI 1]' > 'Disney Media Networks' THEN 'Studio Entertainment[NI 1]' ELSE 'Disney Media Networks' END FROM revenue WHERE `Year` = 1998	disney
SELECT director FROM director WHERE name = 'Pinocchio'	disney
SELECT T2.villian FROM director AS T1 INNER JOIN characters AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Wolfgang Reitherman' AND T2.villian IS NOT NULL	disney
SELECT COUNT(movie_title) FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE SUBSTR(release_date, INSTR(release_date, '-') + 1, 3) = 'Dec' AND T2.director = 'Wolfgang Reitherman'	disney
SELECT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.song = 'Once Upon a Dream'	disney
SELECT T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title WHERE T1.character LIKE '%' OR T2.villian OR '%' AND T2.movie_title = 'Alice in Wonderland'	disney
SELECT T2.release_date FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title WHERE T1.`voice-actor` = 'Alan Tudyk'	disney
SELECT COUNT(T2.movie) FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T2.`voice-actor` = 'Alan Tudyk' AND SUBSTR(release_date, INSTR(release_date, '-') + 5) > 12	disney
SELECT COUNT(T3.name) FROM ( SELECT T2.name FROM `movies_total_gross` AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Wolfgang Reitherman' AND T1.genre = 'Comedy' GROUP BY T2.name ) T3	disney
SELECT T2.movie_title FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Wolfgang Reitherman' ORDER BY T2.total_gross DESC LIMIT 1	disney
SELECT T1.movie_title FROM `movies_total_gross` AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.MPAA_rating = 'G' AND T2.director = 'Wolfgang Reitherman'	disney
SELECT T2.villian FROM `movies_total_gross` AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title ORDER BY T1.total_gross DESC LIMIT 1	disney
SELECT T2.genre FROM characters AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie_title WHERE T1.villian = 'Commander Rourke'	disney
SELECT villian FROM characters WHERE movie_title = 'Beauty and the Beast'	disney
SELECT movie_title FROM characters WHERE hero = 'Robin Hood'	disney
SELECT movie_title FROM characters WHERE song = 'I Thought I Lost You'	disney
SELECT `voice-actor` FROM `voice-actors` WHERE character = 'Binkie Muddlefoot'	disney
SELECT T1.hero FROM characters AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie_title WHERE T2.total_gross = '$222,527,828'	disney
SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE CAST(SUBSTR(T1.release_date, INSTR(T1.release_date, ', ') + 1) AS int) BETWEEN 1970 AND 1979 ORDER BY CAST(REPLACE(SUBSTR(T1.total_gross, 2), ',', '') AS float) DESC LIMIT 1	disney
SELECT T1.hero FROM characters AS T1 INNER JOIN director AS T2 ON T2.name = T1.movie_title WHERE T2.director = 'Will Finn'	disney
SELECT T2.`voice-actor` FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T2.movie = T1.movie_title WHERE T1.movie_title = 'The Little Mermaid' AND T2.character = T1.hero	disney
SELECT T1.director FROM director AS T1 INNER JOIN `voice-actors` AS T2 ON T2.movie = T1.name WHERE T2.character = 'Aunt Sarah' AND T2.`voice-actor` = 'Verna Felton'	disney
SELECT T1.release_date FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T2.movie = T1.movie_title WHERE T2.character = 'Hyacinth Hippo' AND T2.`voice-actor` = 'Tress MacNeille'	disney
SELECT T1.director FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.name WHERE T2.genre = 'Adventure' AND T2.release_date = 'Mar 30, 2007'	disney
SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Wolfgang Reitherman' ORDER BY CAST(REPLACE(SUBSTR(inflation_adjusted_gross, 2), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T1.hero FROM characters AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie_title WHERE T2.genre = 'Adventure' AND T1.release_date = '4-Mar-16'	disney
SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T2.hero = 'Donald Duck' ORDER BY CAST(REPLACE(SUBSTR(total_gross, 2), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT COUNT(name) FROM director WHERE director = 'Wolfgang Reitherman'	disney
SELECT director FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1	disney
SELECT COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'R' AND genre = 'Horror' AND CAST(SUBSTR(release_date, INSTR(release_date, ', ') + 1) AS int) BETWEEN 1990 AND 2015	disney
SELECT character FROM `voice-actors` WHERE 'voice-actor' = 'Frank Welker'	disney
SELECT T1.total_gross FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.song = 'Little Wonders'	disney
SELECT T1.MPAA_rating FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.villian = 'Turbo'	disney
SELECT COUNT(T.movie) FROM ( SELECT T1.movie FROM `voice-actors` AS T1 INNER JOIN movies_total_gross AS T2 ON T1.movie = T2.movie_title WHERE MPAA_rating = 'PG' AND `voice-actor` = 'Bill Thompson' GROUP BY T1.movie ) AS T	disney
SELECT COUNT(T.name) FROM ( SELECT T1.name FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Gary Trousdale' AND T2.genre = 'Adventure' GROUP BY T1.name ) T	disney
SELECT director FROM director AS T1 INNER JOIN `voice-actors` AS T2 ON T1.name = T2.movie WHERE T2.`voice-actor` = 'Bill Thompson' GROUP BY director ORDER BY COUNT(director) DESC LIMIT 1	disney
SELECT T2.name FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T2.name = T1.movie_title WHERE T2.director = 'Ron Clements' ORDER BY CAST(REPLACE(SUBSTR(total_gross, 2), ',', '') AS int) DESC LIMIT 1	disney
SELECT T2.`voice-actor` FROM director AS T1 INNER JOIN `voice-actors` AS T2 INNER JOIN movies_total_gross AS T3 ON T1.name = T2.movie AND T2.movie = T3.movie_title WHERE T1.director = 'Ben Sharpsteen' AND T3.release_date = 'Feb 9, 1940' AND T2.`voice-actor` != 'None' GROUP BY T2.`voice-actor`	disney
SELECT COUNT(*) FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Ron Clements' AND T2.MPAA_rating = 'PG' AND T2.genre = 'Adventure'	disney
SELECT COUNT(movie_title) FROM `movies_total_gross` WHERE genre = 'Horror'	disney
SELECT villian FROM characters WHERE movie_title = 'The Great Mouse Detective'	disney
SELECT 'voice-actor' FROM `voice-actors` WHERE movie = 'Meet the Robinsons'	disney
SELECT director, COUNT(name) FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1	disney
SELECT `Year` FROM revenue WHERE `Year` BETWEEN 2000 AND 2010 ORDER BY `Studio Entertainment[NI 1]` DESC LIMIT 1	disney
SELECT song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Drama' GROUP BY song	disney
SELECT T2.`voice-actor` FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T2.character = T1.hero WHERE T2.movie = T1.movie_title	disney
SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name AND CAST(SUBSTR(release_date, INSTR(release_date, ', ') + 1) AS int) BETWEEN 1990 AND 2000 GROUP BY T2.director	disney
SELECT T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie WHERE T2.movie_title = 'The Rescuers' AND T1.character = T2.villian	disney
SELECT T1.name, T2.`voice-actor` FROM director AS T1 INNER JOIN `voice-actors` AS T2 ON T1.name = T2.movie WHERE T1.director = 'Wolfgang Reitherman'	disney
SELECT DISTINCT T2.character FROM movies_total_gross AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T1.MPAA_rating = 'PG'	disney
SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.song IS NULL ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T2.director, COUNT(DISTINCT T1.`voice-actor`) FROM `voice-actors` AS T1 INNER JOIN director AS T2 ON T1.movie = T2.name GROUP BY T2.director ORDER BY COUNT(DISTINCT T1.`voice-actor`) DESC LIMIT 1	disney
SELECT T2.`voice-actor` FROM movies_total_gross AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T1.release_date = 'Nov 24, 2010'	disney
SELECT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.song IS NOT NULL GROUP BY T2.director	disney
SELECT T2.movie_title FROM `voice-actors` AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie WHERE T1.`voice-actor` = 'Jim Cummings' ORDER BY CAST(REPLACE(trim(T2.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T2.movie_title FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Ron Clements' ORDER BY CAST(REPLACE(trim(T2.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT SUM(CAST(REPLACE(trim(T2.total_gross, '$'), ',', '') AS REAL)) / COUNT(T2.movie_title) FROM `voice-actors` AS T1 INNER JOIN movies_total_gross AS T2 ON T1.movie = T2.movie_title WHERE T1.`voice-actor` = 'Sterling Holloway'	disney
SELECT CAST(COUNT(CASE WHEN T1.song IS NOT NULL THEN T2.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T2.movie_title) FROM characters AS T1 INNER JOIN movies_total_gross AS T2 ON T1.movie_title = T2.movie_title	disney
SELECT movie_title, genre FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '2016'	disney
SELECT villian FROM characters WHERE movie_title = 'Little Mermaid'	disney
SELECT name FROM director WHERE director = 'Jack Kinney'	disney
SELECT movie_title, CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) / CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) FROM movies_total_gross ORDER BY CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT movie_title, release_date FROM movies_total_gross WHERE MPAA_rating = 'PG-13' AND genre = 'Romantic Comedy'	disney
SELECT movie, character FROM `voice-actors` WHERE 'voice-actor' = 'Bill Thompson'	disney
SELECT T1.movie_title, T1.song FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Ron Clements'	disney
SELECT T1.movie_title, T2.hero, T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name WHERE T3.director = 'Wolfgang Reitherman' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) = '1977'	disney
SELECT T1.movie_title, T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.hero = 'Donald Duck'	disney
SELECT T1.hero, T2.director, T1.release_date FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.movie_title = 'Mulan'	disney
SELECT T1.movie_title, T1.total_gross, T1.MPAA_rating FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T3.name = T1.movie_title WHERE T2.hero = 'Elsa'	disney
SELECT T1.movie, T3.director, T2.release_date FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T3.name = T2.movie_title WHERE T1.`voice-actor` = 'Freddie Jones'	disney
SELECT T1.movie_title, T1.total_gross FROM movies_total_gross AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T2.`voice-actor` = 'Frank Welker' AND CAST(REPLACE(trim(T1.inflation_adjusted_gross, '$'), ',', '') AS REAL) * 1.0 / CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) * 1.0 < 2	disney
SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T1.`voice-actor`, T2.villian FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title WHERE T2.movie_title = 'Cinderella'	disney
SELECT T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title WHERE T2.movie_title = 'Lion King' AND T1.character = 'Lion King'	disney
SELECT T2.director, T1.MPAA_rating FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T1.genre = 'Musical' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) = '1993'	disney
SELECT CAST(COUNT(CASE WHEN T1.genre = 'Comedy' THEN T1.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_title), group_concat(T1.movie_title), group_concat(T2.director) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) BETWEEN '1991' AND '2000'	disney
SELECT T2.name, T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) BETWEEN '2001' AND '2005' AND CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) / ( SELECT SUM(CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL)) / COUNT(T3.movie_title) AS avg_gross FROM movies_total_gross AS T3 INNER JOIN director AS T4 ON T3.movie_title = T4.name WHERE SUBSTR(T3.release_date, LENGTH(T3.release_date) - 3, LENGTH(T3.release_date)) BETWEEN '2001' AND '2005' ) - 1 > 1	disney
SELECT `voice-actor` FROM `voice-actors` WHERE movie = 'Hercules' AND character = 'Calliope'	disney
SELECT COUNT('voice-actor') FROM `voice-actors` WHERE movie = 'Aladdin'	disney
SELECT movie FROM `voice-actors` WHERE 'voice-actor' = 'Jeff Bennett'	disney
SELECT director FROM director WHERE name = 'Wreck-It Ralph'	disney
SELECT name FROM director WHERE director = 'Jack Kinney'	disney
SELECT COUNT(movie_title) FROM characters WHERE SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) BETWEEN '37' AND '50'	disney
SELECT T1.song FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Ben Sharpsteen'	disney
SELECT T1.release_date FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Roger Allers' AND T1.movie_title = 'The Lion King'	disney
SELECT T1.villian FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T2.`voice-actor` = 'Scott Weinger Brad Kane'	disney
SELECT T1.movie_title FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Wolfgang Reitherman' AND T1.villian IS NULL	disney
SELECT T1.movie_title FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Jack Kinney' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 1, LENGTH(T1.release_date)) < '47'	disney
SELECT DISTINCT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name INNER JOIN movies_total_gross AS T3 ON T1.movie_title = T3.movie_title WHERE CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL) > 100000000	disney
SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name INNER JOIN movies_total_gross AS T3 ON T3.movie_title = T1.movie_title WHERE SUBSTR(T3.release_date, LENGTH(T3.release_date) - 3, LENGTH(T3.release_date)) BETWEEN '1937' AND '1990' ORDER BY CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Comedy'	disney
SELECT T2.hero, T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T3.name = T2.movie_title WHERE T3.director = 'Wolfgang Reitherman'	disney
SELECT T1.genre FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T2.hero = 'Taran'	disney
SELECT T1.`voice-actor`, T3.director FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T2.movie_title = T3.name WHERE T2.hero = 'Elsa'	disney
SELECT CAST(COUNT(DISTINCT CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T3.director ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T3.director) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name	disney
SELECT CAST(COUNT(CASE WHEN T1.genre = 'Drama' THEN T3.`voice-actor` ELSE NULL END) AS REAL) * 100 / COUNT(T3.`voice-actor`) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN `voice-actors` AS T3 ON T3.movie = T1.movie_title	disney
SELECT movie_title FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) ASC LIMIT 1	disney
SELECT COUNT(movie_title) FROM characters WHERE SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) BETWEEN '10' AND '16'	disney
SELECT villian FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) DESC LIMIT 1	disney
SELECT movie_title FROM movies_total_gross WHERE genre = 'Action' ORDER BY CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT `voice-actor` FROM `voice-actors` WHERE character = 'Akela'	disney
SELECT SUM(Total) FROM revenue WHERE `Year` BETWEEN 2010 AND 2016	disney
SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Adventure' ORDER BY CAST(REPLACE(trim(T1.inflation_adjusted_gross, '$'), ',', '') AS REAL) DESC LIMIT 1	disney
SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) ASC LIMIT 1	disney
SELECT SUM(`Walt Disney Parks and Resorts`) / SUM(Total) * 100 FROM revenue WHERE year = 2010	disney
SELECT SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) / COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'PG-13'	disney
SELECT COUNT(DISTINCT 'voice-actor') FROM `voice-actors` WHERE movie = 'Bambi'	disney
SELECT SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) / SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995' GROUP BY SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995'	disney
SELECT SUM(CASE WHEN movie_title = 'Cars' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END), SUM(CASE WHEN movie_title = 'Cars 2' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) FROM movies_total_gross	disney
SELECT T1.movie_title, MAX(T1.release_date), MAX(T1.inflation_adjusted_gross) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Chris Buck'	disney
SELECT 'voice-actor' FROM `voice-actors` GROUP BY 'voice-actor' HAVING COUNT(movie) > 5	disney
SELECT SUM(CASE WHEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) > 1236035515 THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) * 100 / SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross	disney
SELECT CAST(COUNT(CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T1.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_title) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Gary Trousdale'	disney
SELECT COUNT(*) FROM current WHERE ballotpedia_id = '' OR ballotpedia_id IS NULL	legislator
SELECT official_full_name FROM current WHERE cspan_id IS NULL OR cspan_id = ''	legislator
SELECT COUNT(bioguide_id) FROM current WHERE birthday_bio >= '1961-01-01'	legislator
SELECT COUNT(*) FROM current WHERE (fec_id IS NULL OR fec_id = '') AND gender_bio = 'F'	legislator
SELECT google_entity_id_id FROM current WHERE official_full_name = 'Sherrod Brown'	legislator
SELECT official_full_name FROM current WHERE official_full_name = 'Sherrod Brown' OR official_full_name = 'Maria Cantwell' ORDER BY birthday_bio LIMIT 1	legislator
SELECT T1.facebook FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Todd Young'	legislator
SELECT COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.instagram IS NULL	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.twitter_id = 234128524	legislator
SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.gender_bio = 'F'	legislator
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id ORDER BY T1.birthday_bio LIMIT 1	legislator
SELECT SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS count FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.opensecrets_id IS NULL OR T2.opensecrets_id = ''	legislator
SELECT SUM(CASE WHEN T1.official_full_name = 'Roger F. Wicker' THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.district IS NULL OR T2.district = ''	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown'	legislator
SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank IS NOT NULL	legislator
SELECT T1.state FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.start = '1993-01-05' AND T2.official_full_name = 'Sherrod Brown'	legislator
SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 )	legislator
SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio >= '1960-01-01' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 6 )	legislator
SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F'	legislator
SELECT CAST(SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.religion_bio = 'Roman Catholic'	legislator
SELECT COUNT(*) FROM current WHERE gender_bio = 'M'	legislator
SELECT COUNT(*) FROM `current-terms` WHERE party = 'Republican'	legislator
SELECT COUNT(*) FROM `social-media` WHERE instagram IS NOT NULL AND instagram <> ''	legislator
SELECT COUNT(*) FROM historical WHERE gender_bio = 'F'	legislator
SELECT COUNT(*) FROM current WHERE religion_bio = 'Roman Catholic' AND gender_bio = 'M'	legislator
SELECT T1.party FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Sherrod' AND T2.last_name = 'Brown' AND T1.start LIKE '%2005%'	legislator
SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank = 'senior' AND T1.type = 'sen' AND T1.start LIKE '2013%'	legislator
SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'	legislator
SELECT CASE WHEN T1.facebook IS NOT NULL THEN 1 END + CASE WHEN T1.instagram IS NOT NULL THEN 1 END + CASE WHEN T1.twitter IS NOT NULL THEN 1 END + CASE WHEN T1.youtube IS NOT NULL THEN 1 END AS COUNTSOCIAL FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Mark' AND T2.last_name = 'Warner'	legislator
SELECT T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'CA' GROUP BY T1.last_name	legislator
SELECT T2.first_name, T2.last_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.type = 'sen' AND T2.gender_bio = 'F' GROUP BY T2.ballotpedia_id	legislator
SELECT T2.govtrack FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'	legislator
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Roger F. Wicker'	legislator
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND CAST(T2.start AS DATE) <= 1791 AND CAST(T2.END AS DATE) >= 1791	legislator
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.gender_bio = 'F' AND T2.END > DATE() GROUP BY T1.bioguide_id	legislator
SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Chris Van Hollen' AND T2.district IS NOT NULL GROUP BY T2.district	legislator
SELECT SUM(CASE WHEN T2.district = 20 THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Richard' AND T1.last_name = 'Durbin'	legislator
SELECT CAST(COUNT(T1.bioguide_id) AS REAL) / 22 FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND CAST(T2.start AS DATE) >= 2000 AND CAST(T2.END AS DATE) <= 2021 AND T2.party = 'Democrat'	legislator
SELECT CAST(COUNT(CASE WHEN current.gender_bio = 'F' THEN current.bioguide_id ELSE NULL END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN historical.gender_bio = 'F' THEN historical.bioguide_id ELSE NULL END) FROM historical ) FROM current	legislator
SELECT youtube_id FROM `social-media` WHERE youtube = 'RepWassermanSchultz'	legislator
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Adam Kinzinger'	legislator
SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name OR T2.middle_name OR T2.last_name = 'ChristopherHendersonClark'	legislator
SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.facebook IS NOT NULL AND (T1.instagram IS NULL OR T1.instagram = '') LIMIT 10	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'VA' GROUP BY T1.official_full_name	legislator
SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'National Greenbacker'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'RoskamIL06'	legislator
SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE (T1.youtube IS NULL OR T1.youtube = '') AND (T1.instagram IS NULL OR T1.instagram = '') AND (T1.twitter IS NULL OR T1.twitter = '') AND T1.facebook IS NOT NULL AND T1.facebook != ''	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T2.state_rank = 'junior' GROUP BY T1.official_full_name	legislator
SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Claire McCaskill' GROUP BY T2.contact_form	legislator
SELECT T2.wikipedia_id FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Readjuster Democrat'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.nickname_name IS NOT NULL GROUP BY T1.official_full_name	legislator
SELECT T2.state, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name OR T1.middle_name OR T1.last_name = 'VeronicaGraceBoland'	legislator
SELECT COUNT(*) FROM historical WHERE CAST(birthday_bio AS date) = 1973	legislator
SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical	legislator
SELECT `END`, party FROM `current-terms` WHERE STRFTIME('%Y', `END`) = '2009' AND party = 'Republican'	legislator
SELECT official_full_name, gender_bio FROM current WHERE last_name = 'Collins'	legislator
SELECT CAST(SUM(CASE WHEN class = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `historical-terms` WHERE type = 'sen'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name	legislator
SELECT SUM(CAST(T2.END - T2.start AS DATE)) AS sum FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.'	legislator
SELECT CAST(MIN(T2.start) - T1.birthday_bio AS DATE) AS AGE FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'F. James Sensenbrenner, Jr.'	legislator
SELECT T1.official_full_name, T2.relation, T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' GROUP BY T1.official_full_name, T2.relation, T2.party	legislator
SELECT T1.official_full_name, T1.nickname_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.instagram IS NOT NULL AND T1.thomas_id < 1000	legislator
SELECT T1.END FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Matt Salmon'	legislator
SELECT T1.party, T1.state FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.house_history_id IS NOT NULL AND T2.birthday_bio LIKE '%1738%'	legislator
SELECT T2.bioguide_id, T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Liberal Republican'	legislator
SELECT COUNT(T1.bioguide_id) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND T2.start = '1793-12-02'	legislator
SELECT SUM(CASE WHEN `current-terms`.start LIKE '2005%' THEN 1 ELSE 0 END) - ( SELECT SUM(CASE WHEN start LIKE '1875%' THEN 1 ELSE 0 END) FROM `historical-terms` ) FROM `current-terms`	legislator
SELECT T2.official_full_name, T1.twitter_id, T1.youtube_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Richard'	legislator
SELECT T2.start, T2.`end`, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Pearl' AND T1.middle_name = 'Peden' AND T1.last_name = 'Oldfield'	legislator
SELECT birthday_bio FROM current WHERE first_name = 'Amy' AND last_name = 'Klobuchar'	legislator
SELECT COUNT(*) FROM current WHERE fec_id IS NULL OR fec_id = ''	legislator
SELECT COUNT(*) FROM current WHERE gender_bio = 'F'	legislator
SELECT COUNT(*) FROM current WHERE opensecrets_id IS NOT NULL AND opensecrets_id <> ''	legislator
SELECT middle_name FROM current WHERE birthday_bio = '1956-08-24'	legislator
SELECT COUNT(bioguide) FROM `current-terms` WHERE title = 'Majority Leader'	legislator
SELECT T2.title FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1942-02-20' GROUP BY T2.title	legislator
SELECT T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '317 Russell Senate Office Building Washington DC 20510'	legislator
SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state_rank = 'senior' GROUP BY T1.first_name	legislator
SELECT COUNT(T3.state) FROM ( SELECT T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND (T2.class IS NULL OR T2.class = '') GROUP BY T2.state ) T3	legislator
SELECT CAST(SUM(CASE WHEN T2.class IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio LIKE '%1964%'	legislator
SELECT CAST(COUNT(CASE WHEN T2.class IS NULL THEN T1.bioguide_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE CAST(T1.birthday_bio AS DATE) <= 1975	legislator
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.birthday_bio = '1946-05-27'	legislator
SELECT T1.opensecrets_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'BLuetkemeyer'	legislator
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.first_name = 'Ralph' AND T1.last_name = 'Abraham'	legislator
SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '1005 Longworth HOB Washington DC 20515-1408' GROUP BY T1.first_name	legislator
SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.birthday_bio = '1952-08-24'	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND (T2.class IS NULL OR T2.class = '')	legislator
SELECT T2.religion_bio FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.youtube = 'MaxineWaters'	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.title = 'Minority Leader' AND (T1.fec_id IS NULL OR T1.fec_id = '')	legislator
SELECT COUNT(*) FROM current WHERE gender_bio = 'M'	legislator
SELECT facebook_id FROM `social-media` WHERE facebook = 'RepWilson'	legislator
SELECT COUNT(*) FROM current WHERE first_name = 'John'	legislator
SELECT district FROM `historical-terms` WHERE party = 'Anti-Administration' GROUP BY district	legislator
SELECT official_full_name FROM current WHERE birthday_bio LIKE '1960%'	legislator
SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins'	legislator
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND T2.start = '1789-03-04' AND T2.end = '1791-12-31'	legislator
SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.district = 9	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name	legislator
SELECT T1.opensecrets_id, T1.thomas_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NJ' GROUP BY T1.opensecrets_id, T1.thomas_id	legislator
SELECT T1.google_entity_id_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NY'	legislator
SELECT T1.religion_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.rss_url = 'http://www.corker.senate.gov/public/index.cfm/rss/feed' GROUP BY T1.religion_bio	legislator
SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Susan M. Collins' GROUP BY T2.party	legislator
SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.last_name = 'Grout' AND T1.first_name = 'Jonathan' AND T2.type = 'rep'	legislator
SELECT T2.party, T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.opensecrets_id = 'N00003689' AND T1.thomas_id = 186 GROUP BY T2.party, T2.state	legislator
SELECT T1.official_full_name, T1.birthday_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.contact_form = 'http://www.brown.senate.gov/contact/'	legislator
SELECT T2.state, T2.type FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.google_entity_id_id = 'kg:/m/02pyzk'	legislator
SELECT T2.type, T2.end FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'John' AND T1.last_name = 'Vining'	legislator
SELECT SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.type = 'rep' THEN 1 ELSE 0 END) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND strftime('%Y', T1.birthday_bio) BETWEEN '1930' AND '1970'	legislator
SELECT CAST(SUM(CASE WHEN T2.party = 'Independent' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.party) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND strftime('%Y', T1.birthday_bio) BETWEEN '1955' AND '1965'	legislator
SELECT first_name, last_name FROM historical WHERE bioguide_id = 'W000059'	legislator
SELECT CASE WHEN ballotpedia_id IS NULL THEN 'doesn''t have' ELSE 'have' END AS HaveorNot FROM historical WHERE first_name = 'Thomas' AND last_name = 'Carnes'	legislator
SELECT COUNT(bioguide_id) FROM historical WHERE birthday_bio LIKE '1736%'	legislator
SELECT first_name, last_name FROM historical WHERE gender_bio = 'F'	legislator
SELECT COUNT(district) FROM `current-terms` WHERE state = 'ID'	legislator
SELECT COUNT(bioguide) FROM `current-terms` WHERE class IS NULL	legislator
SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical	legislator
SELECT CAST(SUM(CASE WHEN wikipedia_id IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(bioguide_id) FROM historical	legislator
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.instagram IS NULL	legislator
SELECT T2.district, T2.state FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start LIKE '1789%'	legislator
SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T1.last_name = 'Contee'	legislator
SELECT T2.address FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Amy' AND T1.last_name = 'Klobuchar' AND T2.start = '2001-04-01'	legislator
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start LIKE '1997%' AND T2.state_rank = 'junior'	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE STRFTIME('%Y', T2.start) = '2015' AND T2.state = 'CA' AND T1.gender_bio = 'F'	legislator
SELECT T1.twitter_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Emanuel' AND T2.last_name = 'Cleaver'	legislator
SELECT T2.facebook_id FROM `current-terms` AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide = T2.bioguide WHERE T1.party = 'Democrat' GROUP BY T2.facebook_id	legislator
SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.end = '1791-03-03' AND T1.gender_bio = 'F'	legislator
SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Jewish' AND T2.state = 'FL' GROUP BY T1.first_name, T1.last_name	legislator
SELECT CAST(COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 END) FROM historical ) FROM current	legislator
SELECT CAST(SUM(CASE WHEN strftime('%Y', T2.start) BETWEEN '2000' AND '2017' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide	legislator
SELECT COUNT(bioguide_id) FROM historical WHERE religion_bio = 'Catholic' AND ballotpedia_id IS NULL	legislator
SELECT COUNT(bioguide) FROM `current-terms` WHERE class = 1 AND party = 'Republican'	legislator
SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' AND google_entity_id_id IS NULL AND fec_id IS NULL	legislator
SELECT COUNT(*) FROM `current-terms` WHERE state = 'CA' AND type = 'rep' AND end LIKE '1995%'	legislator
SELECT first_name, last_name FROM historical ORDER BY birthday_bio LIMIT 1	legislator
SELECT bioguide FROM `current-terms` WHERE type = 'rep' AND party = 'Democrat' AND end = '2019-01-03' AND district = 13	legislator
SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Jason Lewis'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' AND strftime('%Y', T2.start) >= '2011' AND T2.type = 'sen' AND T2.caucus = 'Democrat'	legislator
SELECT COUNT(T3.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NULL GROUP BY T1.bioguide_id ) T3	legislator
SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Baptist' GROUP BY T2.party ORDER BY COUNT(T2.party) DESC LIMIT 1	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NOT NULL AND T2.instagram IS NOT NULL AND T2.twitter IS NOT NULL AND T2.youtube IS NOT NULL	legislator
SELECT COUNT(T3.district) FROM ( SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.' GROUP BY T2.district ) T3	legislator
SELECT T1.wikipedia_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.party = 'Anti-Administration'	legislator
SELECT DISTINCT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 26 THEN T1.official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.district HAVING COUNT(T1.official_full_name) = 13	legislator
SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T2.party = 'Federalist' AND T2.type = 'rep' GROUP BY T1.bioguide_id ) AS T	legislator
SELECT SUM(T3.result) FROM ( SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.`end`) AS int) - CAST(strftime('%Y', T2.start) AS int)) > 10 THEN 1 ELSE 0 END AS result FROM current AS T1 INNER JOIN "current-terms" AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND T2.state = 'CA' AND T2.type = 'rep' ) AS T3	legislator
SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide ORDER BY T2.birthday_bio LIMIT 1	legislator
SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 14 THEN official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Lutheran' AND T2.state = 'OH' AND T2.type = 'rep'	legislator
SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL	legislator
SELECT official_full_name FROM current WHERE house_history_id IS NOT NULL	legislator
SELECT COUNT(*) FROM current WHERE icpsr_id IS NOT NULL AND maplight_id IS NOT NULL	legislator
SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id IS NOT NULL	legislator
SELECT religion_bio FROM current WHERE official_full_name = 'Sherrod Brown'	legislator
SELECT religion_bio FROM current GROUP BY religion_bio ORDER BY COUNT(religion_bio) DESC LIMIT 1	legislator
SELECT T2.instagram FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Bob Corker'	legislator
SELECT COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.thomas_id IS NOT NULL AND T2.instagram IS NOT NULL	legislator
SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL GROUP BY T2.facebook	legislator
SELECT COUNT(T2.bioguide) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = ( SELECT MIN(birthday_bio) FROM current )	legislator
SELECT T1.phone FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Sherrod Brown' AND T1.start = '2013-01-03'	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown' AND T2.party = 'Democrat'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03'	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03' AND T1.gender_bio = 'F'	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.bioguide ORDER BY COUNT(T2.bioguide) DESC LIMIT 1	legislator
SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown' AND T2.district = 13	legislator
SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook = 'senjoniernst'	legislator
SELECT CASE WHEN SUM(CASE WHEN T1.official_full_name = 'Maria Cantwell' THEN 1 ELSE 0 END) > SUM(CASE WHEN T1.official_full_name = 'Sherrod Brown' THEN 1 ELSE 0 END) THEN 'Maria Cantwell' ELSE 'Sherrod Brown' END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide	legislator
SELECT CAST(SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.bioguide) FROM ( SELECT T2.bioguide, T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 ) T3	legislator
SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL	legislator
SELECT COUNT(gender_bio) FROM current WHERE gender_bio = 'F'	legislator
SELECT COUNT(type) FROM `historical-terms` WHERE state = 'NJ' AND type = 'rep'	legislator
SELECT address FROM `current-terms` WHERE contact_form = 'http://www.carper.senate.gov/contact/'	legislator
SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Benjamin' AND T2.last_name = 'Hawkins'	legislator
SELECT T1.bioguide FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.religion_bio = 'Catholic' AND T1.state = 'NE'	legislator
SELECT T1.maplight_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'ME' GROUP BY T1.maplight_id	legislator
SELECT T2.type, T2.start FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1727-11-26'	legislator
SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Rick Crawford'	legislator
SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'MI' AND T1.gender_bio = 'F' GROUP BY T1.bioguide_id ) T	legislator
SELECT CAST(SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.type) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' AND T1.gender_bio = 'F'	legislator
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg'	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T2.age = 31	olympics
SELECT T2.age FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T1.games_name = '1994 Winter'	olympics
SELECT COUNT(T1.person_id) FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Finland'	olympics
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland'	olympics
SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg'	olympics
SELECT T1.noc FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'M' ORDER BY T3.height DESC LIMIT 1	olympics
SELECT COUNT(T3.id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'F'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1992 Summer'	olympics
SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London'	olympics
SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' ORDER BY T3.games_year LIMIT 1	olympics
SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'	olympics
SELECT AVG(T3.height) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'M'	olympics
SELECT CAST(COUNT(CASE WHEN T5.region_name = 'Finland' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id INNER JOIN person_region AS T4 ON T3.id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.games_name = '1994 Winter'	olympics
SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T2.event_name LIKE 'Shooting Women%s Trap'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1936 Winter'	olympics
SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London'	olympics
SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Swimming'	olympics
SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Peter Kohnke'	olympics
SELECT T2.games_id FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Jessica Carolina Aguilera Aguilera'	olympics
SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id GROUP BY T1.sport_name ORDER BY COUNT(T2.event_name) DESC LIMIT 1	olympics
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Sweden' ORDER BY T3.height DESC LIMIT 1	olympics
SELECT COUNT(T1.person_id) FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Guatemala'	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id GROUP BY T2.person_id ORDER BY COUNT(T2.person_id) DESC LIMIT 1	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.id = 90991	olympics
SELECT COUNT(T2.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Martina Kohlov'	olympics
SELECT CAST(T1.weight AS REAL) / (T1.height * T1.height) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.id = 147420	olympics
SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Estonia'	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age LIMIT 1	olympics
SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Basketball Men%s Basketball' AND T2.age = 24	olympics
SELECT T2.event_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Art Competitions'	olympics
SELECT COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Henk Jan Zwolle' AND T4.medal_name = 'Gold'	olympics
SELECT T2.event_name FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T3.medal_name = 'Gold' GROUP BY T2.id ORDER BY COUNT(T1.event_id) DESC LIMIT 1	olympics
SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Australia'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id GROUP BY T2.id HAVING COUNT(T1.games_id) >= 3	olympics
SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Stockholm' AND T3.season = 'Summer'	olympics
SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id ORDER BY T3.games_year LIMIT 1	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id ORDER BY T2.age LIMIT 1	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1928 Summer'	olympics
SELECT COUNT(T3.event_id) , CAST(COUNT(CASE WHEN T4.id = '1' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T4.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Michael Fred Phelps, II'	olympics
SELECT P1 , ( SELECT MAX(P2) - MIN(P2) FROM ( SELECT COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1 ) FROM ( SELECT T1.season AS P1, COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1	olympics
SELECT age FROM games_competitor GROUP BY age ORDER BY COUNT(person_id) DESC LIMIT 1	olympics
SELECT city_name FROM city WHERE city_name LIKE 'M%'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name IN ('1976 Summer', '1976 Winter')	olympics
SELECT T4.medal_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Coleen Dufresne (-Stewner)'	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.id != 4 GROUP BY T1.full_name ORDER BY COUNT(T4.id) DESC LIMIT 1	olympics
SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Estelle Nze Minko'	olympics
SELECT DISTINCT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T5.full_name = 'Chin Eei Hui'	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'F' GROUP BY T1.games_name ORDER BY COUNT(T2.person_id) DESC LIMIT 1	olympics
SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Belgium' AND T3.gender = 'M'	olympics
SELECT COUNT(T1.person_id) FROM games_competitor AS T1 INNER JOIN games_city AS T2 ON T1.games_id = T2.games_id INNER JOIN city AS T3 ON T2.city_id = T3.id WHERE T3.city_name = 'Sapporo'	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Morten Aleksander Djupvik'	olympics
SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN sport AS T3 ON T2.sport_id = T3.id WHERE T2.event_name = 'Sailing Mixed 12 metres'	olympics
SELECT COUNT(DISTINCT T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Modern Pentathlon'	olympics
SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual'	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1992 Summer'	olympics
SELECT games_year FROM games WHERE season != 'Winter' GROUP BY games_year HAVING COUNT(season) = 1	olympics
SELECT COUNT(games_year) FROM games WHERE games_year BETWEEN '1990' AND '1999'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2014 Winter'	olympics
SELECT COUNT(T3.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id WHERE T3.region_id = 151 AND T1.medal_id != 4	olympics
SELECT COUNT(T3.id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id INNER JOIN person_region AS T4 ON T3.id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.games_name = '2016 Summer' AND T5.region_name = 'China'	olympics
SELECT COUNT(T2.competitor_id) FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id WHERE T1.event_name LIKE 'Ice Hockey Men%s Ice Hockey' AND T2.medal_id = 1	olympics
SELECT T5.region_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.id != 4 GROUP BY T5.region_name ORDER BY COUNT(T2.competitor_id) DESC LIMIT 1	olympics
SELECT DISTINCT T5.full_name FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN sport AS T4 ON T1.sport_id = T4.id INNER JOIN person AS T5 ON T3.person_id = T5.id WHERE T4.sport_name = 'Cycling' AND T2.medal_id = 1	olympics
SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person AS T4 ON T3.person_id = T4.id WHERE T4.full_name = 'Lee Chong Wei' AND T2.medal_id <> 4	olympics
SELECT CAST(COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2002 Winter' AND T2.age < 20	olympics
SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2012 Summer'	olympics
SELECT ( SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' GROUP BY T1.games_year ORDER BY COUNT(T2.person_id) DESC LIMIT 1 ) AS HIGHEST , ( SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' GROUP BY T1.games_year ORDER BY COUNT(T2.person_id) LIMIT 1 ) AS LOWEST	olympics
SELECT COUNT(T3.person_id) FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T5.region_name = 'Malaysia' AND T1.id != 4	olympics
SELECT COUNT(T5.id) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id INNER JOIN games AS T6 ON T4.games_id = T6.id WHERE T1.sport_name = 'Canoeing' AND T6.games_name = '2008 Summer' AND T5.weight * 10000.0 / (T5.height * T5.height) BETWEEN 25.0 AND 30	olympics
SELECT AVG(T5.height) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T1.sport_name = 'Basketball' AND T5.gender = 'M'	olympics
SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Philippines' AND T3.gender = 'F'	olympics
SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Yao Ming'	olympics
SELECT T2.age FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Michael Fred Phelps, II' ORDER BY T2.age LIMIT 1	olympics
SELECT COUNT(person_id) FROM person_region WHERE region_id = ( SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Clara Hughes' )	olympics
SELECT COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T1.full_name = 'Ian James Thorpe' AND T4.event_name LIKE 'Swimming Men%s 200 metres Freestyle'	olympics
SELECT COUNT(T1.id) FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person AS T4 ON T3.person_id = T4.id WHERE T4.full_name = 'Larysa Semenivna Latynina (Diriy-)' AND T1.event_name LIKE 'Gymnastics Women%s Individual All-Around' AND T2.medal_id = 1	olympics
SELECT T4.city_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T1.full_name = 'Carl Lewis Borack'	olympics
SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1992 Summer'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2016 Summer' AND T2.age > 59	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T4.city_name = 'Los Angeles' GROUP BY T1.id ORDER BY COUNT(T2.person_id) DESC LIMIT 1	olympics
SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Gymnastics Men%s Parallel Bars, Teams' AND T2.age = 10	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id INNER JOIN noc_region AS T4 ON T3.region_id = T4.id WHERE T1.games_name = '2016 Summer' AND T4.region_name = 'USA'	olympics
SELECT region_name FROM noc_region WHERE noc = 'COL'	olympics
SELECT sport_name FROM sport WHERE id = 19	olympics
SELECT id FROM event WHERE event_name = 'Shooting Mixed Skeet'	olympics
SELECT id FROM sport WHERE sport_name = 'Hockey'	olympics
SELECT weight FROM person WHERE full_name = 'Dagfinn Sverre Aarskog'	olympics
SELECT id FROM city WHERE city_name = 'Rio de Janeiro'	olympics
SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T2.event_name LIKE 'Rowing Women%s Coxed Eights' AND T3.medal_name = 'Gold'	olympics
SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Cycling'	olympics
SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Vijay Singh Chauhan'	olympics
SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Roma'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age = 20	olympics
SELECT COUNT(T2.games_id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Prithipal Singh'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age > 50	olympics
SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Athletics'	olympics
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Russia' ORDER BY T3.weight DESC LIMIT 1	olympics
SELECT T3.height FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Portugal' ORDER BY T3.height DESC LIMIT 1	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1968 Winter'	olympics
SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1	olympics
SELECT CAST(COUNT(CASE WHEN T3.height > 175 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Vanuatu'	olympics
SELECT AVG(T3.weight) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Tonga' AND T3.gender = 'M'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1920 Summer'	olympics
SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' AND T3.games_year BETWEEN 1900 AND 1992	olympics
SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Paris' AND T3.season = 'Summer'	olympics
SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Los Angeles'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id GROUP BY T2.city_name ORDER BY COUNT(T2.city_name) DESC LIMIT 1	olympics
SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Beijing' AND T3.games_year = 2008	olympics
SELECT CAST(COUNT(CASE WHEN T2.age > 30 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id WHERE T1.medal_id = 1	olympics
SELECT T2.age FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2012 Summer' AND T3.full_name = 'A Lamusi'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2000 Summer' AND T2.age = 31	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1948 Summer' AND T3.gender = 'M'	olympics
SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1936 Summer'	olympics
SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2014 Winter' ORDER BY T2.age LIMIT 1	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1988 Winter'	olympics
SELECT CAST(COUNT(CASE WHEN T3.gender = 'F' AND T3.height > 170 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_year = 1988	olympics
SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T2.event_name LIKE 'Cross Country Skiing Men%s 10/15 kilometres Pursuit'	olympics
SELECT CAST(COUNT(CASE WHEN T2.age > 24 AND T1.season = 'Winter' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id	olympics
SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Christine Jacoba Aaftink'	olympics
SELECT T2.height FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T1.region_id = 7	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T1.games_id = 3	olympics
SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' AND T2.age < 30	olympics
SELECT DISTINCT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T2.games_id = 13	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Winter'	olympics
SELECT CAST(COUNT(CASE WHEN T2.age < 35 THEN 1 END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer'	olympics
SELECT T2.event_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Basketball'	olympics
SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T2.competitor_id = 9	olympics
SELECT T2.event_id FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T1.medal_name = 'Gold'	olympics
SELECT full_name FROM person ORDER BY weight DESC LIMIT 1	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_year = 1992	olympics
SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1	olympics
SELECT DISTINCT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T5.full_name = 'John Aalberg'	olympics
SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Belgium' AND T3.gender = 'M'	olympics
SELECT COUNT(T1.person_id) FROM games_competitor AS T1 INNER JOIN games_city AS T2 ON T1.games_id = T2.games_id INNER JOIN city AS T3 ON T2.city_id = T3.id WHERE T3.city_name = 'Barcelona'	olympics
SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Football'	olympics
SELECT T4.city_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T1.full_name = 'John Aalberg'	olympics
SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'Barcelona'	olympics
SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1992 Winter' AND T2.age > 30	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T4.city_name = 'Barcelona' GROUP BY T1.id ORDER BY COUNT(T2.person_id) DESC LIMIT 1	olympics
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Argentina'	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id INNER JOIN noc_region AS T4 ON T3.region_id = T4.id WHERE T1.games_name = '2012 Summer' AND T4.region_name = 'Argentina'	olympics
SELECT CAST(COUNT(CASE WHEN T4.medal_name = 'Bronze' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id INNER JOIN medal AS T4 ON T1.medal_id = T4.id WHERE T3.event_name LIKE 'Basketball Men%s Basketball'	olympics
SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Georgios Abaris'	olympics
SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Greece'	olympics
SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1924 Winter'	olympics
SELECT T1.noc FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.weight = 77	olympics
SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Paris'	olympics
SELECT T3.full_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2000 Summer'	olympics
SELECT T4.city_name FROM games_competitor AS T1 INNER JOIN games AS T2 ON T1.games_id = T2.id INNER JOIN games_city AS T3 ON T1.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id ORDER BY T1.age DESC LIMIT 1	olympics
SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age LIMIT 1	olympics
SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'Tokyo'	olympics
SELECT T1.noc, T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id ORDER BY T3.weight DESC LIMIT 1	olympics
SELECT T1.games_year, T1.season FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Sohail Abbas'	olympics
SELECT AVG(T1.weight) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.medal_name = 'Silver'	olympics
SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '2004 Summer'	olympics
SELECT DISTINCT T1.season FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.height = 180 AND T3.weight = 73	olympics
SELECT DISTINCT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.medal_name = 'Gold'	olympics
SELECT AVG(T1.height) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.age BETWEEN 22 AND 28	olympics
SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Iran' AND T3.gender = 'F'	olympics
SELECT T2.age FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T1.height DESC LIMIT 1	olympics
SELECT COUNT(CASE WHEN T1.weight > 70 THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.weight < 70 THEN 1 ELSE NULL END) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.age < 24	olympics
SELECT CAST(COUNT(CASE WHEN T2.age = 28 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2014 Winter'	olympics
SELECT DISTINCT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'M' AND T3.height * 100 > ( SELECT AVG(height) FROM person WHERE gender = 'M' ) * 87	olympics
SELECT SUM(T1.households) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'	address
SELECT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' ORDER BY T1.avg_house_value DESC LIMIT 1	address
SELECT SUM(T1.male_population) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'	address
SELECT COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'DELAWARE' AND T1.daylight_savings = 'Yes'	address
SELECT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' ORDER BY T1.white_population DESC LIMIT 1	address
SELECT T2.county FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' GROUP BY T2.county ORDER BY T1.avg_income_per_household DESC LIMIT 1	address
SELECT DISTINCT T2.county FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.daylight_savings = 'Yes'	address
SELECT DISTINCT T1.zip_code FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'HUNTINGDON' AND T1.employees > 30	address
SELECT SUM(T1.asian_population) FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T2.bad_alias = 'URB San Joaquin'	address
SELECT COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T2.bad_alias = 'Internal Revenue Service' AND T1.time_zone = 'Eastern'	address
SELECT T2.bad_alias FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.avg_house_value = ( SELECT MAX(avg_house_value) FROM zip_data ) LIMIT 1	address
SELECT DISTINCT T2.bad_alias FROM zip_data AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.female_median_age > 32	address
SELECT CAST(T1.male_population AS REAL) / T1.female_population FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO' AND T1.female_population <> 0 ORDER BY 1 DESC LIMIT 1	address
SELECT SUM(T1.female_median_age) / COUNT(T1.zip_code) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'ARECIBO'	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN ZIP_Data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.female_median_age > 32 GROUP BY T1.area_code	address
SELECT DISTINCT T2.alias FROM zip_data AS T1 INNER JOIN alias AS T2 ON T1.zip_code = T2.zip_code WHERE T1.city = 'Hartford'	address
SELECT COUNT(T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Alabama'	address
SELECT COUNT(DISTINCT T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.abbreviation = 'NY' AND T2.type = 'Post Office'	address
SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = '787' GROUP BY T2.latitude, T2.longitude	address
SELECT COUNT(*) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.abbreviation = 'CA' AND T2.type LIKE '%Community Post Office%' AND T1.name = 'California' AND T2.state = 'CA'	address
SELECT T4.county FROM zip_data AS T3 INNER JOIN country AS T4 ON T3.zip_code = T4.zip_code GROUP BY T4.county ORDER BY T3.female_population DESC LIMIT 1	address
SELECT DISTINCT T2.name FROM zip_data AS T1 INNER JOIN state AS T2 ON T1.state = T2.abbreviation WHERE T1.division IS NULL	address
SELECT T1.population_2020 - T1.population_2010 AS result_data FROM zip_data AS T1 INNER JOIN CBSA AS T2 ON T1.CBSA = T2.CBSA WHERE T2.CBSA_name = 'Allentown-Bethlehem-Easton, PA-NJ' ORDER BY T1.population_2020 DESC LIMIT 1	address
SELECT DISTINCT T2.zip_code FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T2.county = 'NEW CASTLE' AND T1.name = 'Delaware'	address
SELECT COUNT(T3.cognress_rep_id) FROM zip_data AS T1 INNER JOIN state AS T2 ON T1.state = T2.abbreviation INNER JOIN congress AS T3 ON T2.abbreviation = T3.abbreviation ORDER BY T1.monthly_benefits_retired_workers DESC LIMIT 1	address
SELECT COUNT(T3.city) FROM congress AS T1 INNER JOIN state AS T2 ON T1.abbreviation = T2.abbreviation INNER JOIN zip_data AS T3 ON T2.abbreviation = T3.state WHERE T1.first_name = 'Murkowski' AND T1.last_name = 'Lisa' AND T3.employees = 0	address
SELECT t.state, T1.first_name, T1.last_name FROM zip_data AS T INNER JOIN congress AS T1 ON t.state = T1.abbreviation GROUP BY t.state ORDER BY SUM(t.asian_population) DESC LIMIT 3	address
SELECT DISTINCT T2.name FROM country AS T1 INNER JOIN state AS T2 ON T1.state = T2.abbreviation WHERE T1.county = 'OUTAGAMIE'	address
SELECT T1.party FROM congress AS T1 INNER JOIN state AS T2 ON T1.abbreviation = T2.abbreviation INNER JOIN zip_data AS T3 ON T2.abbreviation = T3.state WHERE T3.zip_code = 91701 GROUP BY T1.party	address
SELECT SUM(T1.male_population) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'NEW HAVEN'	address
SELECT T2.alias FROM zip_data AS T1 INNER JOIN alias AS T2 ON T1.zip_code = T2.zip_code WHERE T1.latitude = 18.090875 AND T1.longitude = -66.867756	address
SELECT T2.area_code FROM zip_data AS T1 INNER JOIN area_code AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.area_code ORDER BY T1.over_65 DESC LIMIT 1	address
SELECT COUNT(DISTINCT T2.bad_alias) FROM zip_congress AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T1.district = T3.cognress_rep_id WHERE T3.first_name = 'Thompson' AND T3.last_name = 'Bennie G'	address
SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 636	address
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'Buchanan' AND T1.last_name = 'Vernon'	address
SELECT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 878	address
SELECT COUNT(T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Virginia'	address
SELECT T1.CBSA_name, T2.latitude, T2.longitude FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.zip_code = 45503 GROUP BY T1.CBSA_name, T2.latitude, T2.longitude	address
SELECT T1.county FROM country AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Hartzler' AND T3.last_name = 'Vicky' GROUP BY T1.county	address
SELECT SUM(T2.male_median_age) / COUNT(T2.median_age) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WINDHAM'	address
SELECT SUM(T4.female_median_age) / COUNT(T1.county) FROM country AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id INNER JOIN zip_data AS T4 ON T1.zip_code = T4.zip_code WHERE T3.first_name = 'DeSantis' AND T3.last_name = 'Ron'	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Bishopville' AND T2.state = 'SC'	address
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Geneva' AND T2.state = 'AL'	address
SELECT T2.city, T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Lawrenceville' GROUP BY T2.city, T2.state	address
SELECT T1.alias, T2.bad_alias FROM alias AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 38015	address
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'King' AND T1.last_name = 'Steven A'	address
SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'York' AND T2.state = 'ME'	address
SELECT T2.city, T2.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.median_age >= 40 LIMIT 10	address
SELECT T2.county FROM avoid AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Druid Hills'	address
SELECT DISTINCT T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN state AS T3 ON T2.state = T3.abbreviation WHERE T2.county = 'PHILLIPS' AND T3.name = 'Montana'	address
SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Wisconsin' ORDER BY T1.land_area DESC LIMIT 1	address
SELECT SUM(CASE WHEN T1.time_zone = 'Central' THEN 1 ELSE 0 END) AS count FROM zip_data AS T1 INNER JOIN state AS T2 ON T2.abbreviation = T1.state WHERE T1.time_zone = 'Central'	address
SELECT DISTINCT T2.city, T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Lexington-Fayette, KY' LIMIT 10	address
SELECT CAST(COUNT(CASE WHEN T2.party = 'Democrat' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.party = 'Republican' THEN 1 ELSE NULL END)FROM zip_congress AS T1 INNER JOIN congress AS T2 ON T2.cognress_rep_id = T1.district	address
SELECT CAST(COUNT(CASE WHEN state = 'Alabama' THEN cognress_rep_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN state = 'Illinois' THEN cognress_rep_id ELSE NULL END) FROM congress	address
SELECT CAST(SUM(population_2020) AS REAL) / COUNT(zip_code) FROM zip_data	address
SELECT T2.male_population FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Berlin, NH' GROUP BY T2.male_population	address
SELECT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA GROUP BY T1.CBSA HAVING COUNT(T2.zip_code) > 10	address
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'PR'	address
SELECT T1.latitude, T1.longitude FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Grayson' AND T3.last_name = 'Alan'	address
SELECT DISTINCT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787	address
SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.population_2020 > 30000 GROUP BY T3.first_name, T3.last_name	address
SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'MA' GROUP BY T1.zip_code HAVING COUNT(T1.area_code) > 1	address
SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arecibo'	address
SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Barre, VT'	address
SELECT T1.zip_code FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX' ORDER BY T2.land_area DESC LIMIT 1	address
SELECT T1.population_2020 - T1.population_2010 FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Griffin' AND T3.last_name = 'Tim'	address
SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL'	address
SELECT T2.city FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 939 ORDER BY T2.asian_population DESC LIMIT 1	address
SELECT DISTINCT T1.name, T2.state FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.elevation = 1039	address
SELECT T1.alias, T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1028	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.land_area = ( SELECT MAX(land_area) FROM zip_data )	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.white_population BETWEEN 1700 AND 2000	address
SELECT SUM(T2.asian_population) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Leeds'	address
SELECT T1.area_code, T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T3.city = 'Savoy'	address
SELECT DISTINCT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 = 0	address
SELECT COUNT(T2.city) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 608 AND T2.daylight_savings = 'Yes'	address
SELECT AVG(T2.elevation) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Amherst'	address
SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.city = 'Dalton' GROUP BY T2.county	address
SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Post Office' LIMIT 5	address
SELECT COUNT(CASE WHEN T2.type = 'P.O. Box Only' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.type = 'Post Office' THEN 1 ELSE NULL END) AS DIFFERENCE FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787	address
SELECT CAST((SUM(T2.population_2020) - SUM(T2.population_2010)) AS REAL) * 100 / SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arroyo'	address
SELECT T2.zip_code, T2.city FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Texas' AND T2.total_beneficiaries > 10000	address
SELECT COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'DISTRICT OF COLUMBIA' AND T2.black_population > 20000	address
SELECT T2.city, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 19019	address
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Camuy'	address
SELECT T1.zip_code, T1.city, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id GROUP BY T2.district ORDER BY T1.population_2020 DESC LIMIT 1	address
SELECT COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Illinois' AND T2.daylight_savings = 'Yes' AND T2.region = 'Midwest'	address
SELECT T2.county, T2.zip_code FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Virgin Islands'	address
SELECT T2.zip_code, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Greeneville'	address
SELECT CASE WHEN COUNT(CASE WHEN T1.first_name = 'Smith' AND T1.last_name = 'Adrian' THEN T2.zip_code ELSE NULL END) > COUNT(CASE WHEN T1.first_name = 'Heck' AND T1.last_name = 'Joe' THEN T2.zip_code ELSE NULL END) THEN 'Smith Adrian>Heck Joe' ELSE 'Smith Adrian<=Heck Joe' END AS COMPARE FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district	address
SELECT T2.zip_code, T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Oxford'	address
SELECT T2.zip_code, T2.organization FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Kingsport-Bristol, TN-VA'	address
SELECT T1.zip_code, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.organization = 'Readers Digest'	address
SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California'	address
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.House = 'House of Repsentatives' GROUP BY T2.zip_code	address
SELECT T2.city FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.bad_alias ORDER BY COUNT(T1.zip_code) DESC LIMIT 1	address
SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Georgia' GROUP BY T2.county	address
SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 410	address
SELECT DISTINCT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.avg_house_value = ( SELECT MAX(avg_house_value) FROM zip_data ) LIMIT 1	address
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'East Setauket'	address
SELECT SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WILCOX'	address
SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.asian_population ORDER BY T2.asian_population DESC LIMIT 1	address
SELECT T2.city FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Micro'	address
SELECT T1.name FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state GROUP BY T2.state ORDER BY COUNT(T2.county) DESC LIMIT 1	address
SELECT SUM(CASE WHEN T2.district = 'FL-10' THEN 1 ELSE 0 END) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code	address
SELECT T2.avg_income_per_household FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Danzig'	address
SELECT DISTINCT T2.state FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T2.female_population > ( SELECT AVG(female_population) FROM zip_data )	address
SELECT CAST(SUM(CASE WHEN T1.county = 'CORYELL' THEN T2.households ELSE 0 END) AS REAL) * 100 / SUM(T2.households) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code	address
SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Cabo Rojo' GROUP BY T1.CBSA_name, T1.CBSA_type	address
SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Las Marias'	address
SELECT COUNT(DISTINCT T1.city) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Pierluisi' AND T3.last_name = 'Pedro'	address
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Aguadilla'	address
SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Guanica'	address
SELECT T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.state ORDER BY COUNT(T1.bad_alias) DESC LIMIT 1	address
SELECT COUNT(CASE WHEN T2.city = 'Aguada' THEN T1.bad_alias ELSE NULL END) - COUNT(CASE WHEN T2.city = 'Aguadilla' THEN T1.bad_alias ELSE NULL END) AS DIFFERENCE FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code	address
SELECT T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Metro' GROUP BY T2.state HAVING COUNT(T1.CBSA_type) > 50	address
SELECT SUM(T2.population_2020) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'ARECIBO'	address
SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 > 10000	address
SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.county ORDER BY T2.households DESC LIMIT 1	address
SELECT CAST(COUNT(CASE WHEN T2.households > 10000 THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code	address
SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX'	address
SELECT DISTINCT T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T1.area_code = '787' AND T3.type = 'Unique Post Office'	address
SELECT T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'East Longmeadow'	address
SELECT COUNT(T1.area_code) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.daylight_savings = 'No'	address
SELECT T2.county, T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1116	address
SELECT DISTINCT T2.type FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'St Thomas'	address
SELECT T3.city FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Oklahoma' AND T2.county = 'NOBLE'	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.water_area = ( SELECT MAX(water_area) FROM zip_data )	address
SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2020 = ( SELECT MAX(population_2020) FROM zip_data )	address
SELECT T3.elevation FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Massachusetts' AND T2.county = 'HAMPDEN' GROUP BY T3.elevation	address
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.hispanic_population = ( SELECT MAX(hispanic_population) FROM zip_data )	address
SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.asian_population = 7	address
SELECT AVG(T2.white_population) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 920	address
SELECT CAST(COUNT(CASE WHEN T2.county_fips < 20 THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Ponce'	address
SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2020 > 0.97 * ( SELECT AVG(population_2020) FROM zip_data )	address
SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'Kirkpatrick' AND T1.last_name = 'Ann'	address
SELECT T2.zip_code, T2.latitude, T2.longitude FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Allentown-Bethlehem-Easton, PA-NJ'	address
SELECT T1.zip_code, T2.city, T2.latitude, T2.longitude FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Shared Reshipper'	address
SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Garfield'	address
SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'New York-Newark-Jersey City, NY-NJ-PA'	address
SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Puerto Rico'	address
SELECT COUNT(DISTINCT T2.zip_code), COUNT(DISTINCT T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'West Virginia'	address
SELECT T1.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Community Post Office ' AND T2.elevation > 6000	address
SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Mississippi'	address
SELECT T2.district FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code WHERE T1.city = 'East Springfield'	address
SELECT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.employees = ( SELECT MAX(employees) FROM zip_data )	address
SELECT COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Ohio' AND T2.type = 'Unique Post Office'	address
SELECT CAST(SUM(T2.total_beneficiaries) AS REAL) / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Guam'	address
SELECT CAST(SUM(CASE WHEN T1.party = 'Democrat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*), SUM(CASE WHEN T1.state = 'Hawaii' THEN 1 ELSE 0 END) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district	address
SELECT BrandName FROM rootbeerbrand WHERE FirstBrewedYear = ( SELECT MIN(FirstBrewedYear) FROM rootbeerbrand )	beer_factory
SELECT COUNT(BrandID) FROM rootbeerbrand WHERE Country = 'United States'	beer_factory
SELECT BrandName FROM rootbeerbrand WHERE FacebookPage IS NOT NULL	beer_factory
SELECT BrandName FROM rootbeerbrand ORDER BY CurrentRetailPrice - WholesaleCost LIMIT 1	beer_factory
SELECT Description FROM rootbeerbrand WHERE BrandName = 'A&W'	beer_factory
SELECT City FROM rootbeerbrand WHERE BreweryName = 'AJ Stephans Beverages'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'TRUE' AND T2.CreditCardType = 'Visa' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07'	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y-%m', T2.TransactionDate) = '2014-08' GROUP BY T1.CustomerID ORDER BY COUNT(T2.CustomerID) DESC LIMIT 1	beer_factory
SELECT DISTINCT T4.BrandName FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07' AND T3.ContainerType = 'Can'	beer_factory
SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014-08%' AND T3.BrandName = 'Bulldog'	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T4.BreweryName = 'AJ Stephans Beverages'	beer_factory
SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014-08%' AND T3.Twitter IS NULL	beer_factory
SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T4.ArtificialSweetener = 'FALSE' AND T4.Honey = 'FALSE'	beer_factory
SELECT T2.TransactionDate FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' GROUP BY T2.TransactionDate HAVING COUNT(T2.CustomerID) > 3	beer_factory
SELECT CAST(COUNT(T1.BrandID) AS REAL) / 31 FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014-08%' AND T3.BrandName = 'A&W'	beer_factory
SELECT CAST(COUNT(CASE WHEN T3.BreweryName = 'AJ Stephans Beverages' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2014%'	beer_factory
SELECT COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'James' AND T1.Last = 'House'	beer_factory
SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Lisa' AND T1.Last = 'Ling'	beer_factory
SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State American River Courtyard'	beer_factory
SELECT T2.LocationName FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.TransactionID = 100885	beer_factory
SELECT T1.City FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.TransactionID = 103545	beer_factory
SELECT DISTINCT T1.PhoneNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.CreditCardNumber = 6011179359005382	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.CustomerID ORDER BY COUNT(T2.CustomerID) DESC LIMIT 1	beer_factory
SELECT T1.FirstPurchaseDate FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Review = 'Tastes like Australia.'	beer_factory
SELECT T2.TransactionDate FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Natalie' AND T1.Last = 'Dorris' ORDER BY T2.TransactionDate LIMIT 1	beer_factory
SELECT T1.BreweryName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 GROUP BY T1.BrandID ORDER BY COUNT(T2.StarRating) DESC LIMIT 1	beer_factory
SELECT CASE WHEN T1.SubscribedToEmailList LIKE 'TRUE' THEN 'YES' ELSE 'NO' END AS result FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T2.StarRating = 3 AND T3.BrandName = 'Frostie' AND T2.ReviewDate = '2014-04-24'	beer_factory
SELECT T1.CurrentRetailPrice - T1.WholesaleCost AS price FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.Review = 'The quintessential dessert root beer. No ice cream required.'	beer_factory
SELECT CAST(COUNT(CASE WHEN T2.StarRating = 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.StarRating) FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BrandName = 'River City'	beer_factory
SELECT CAST(COUNT(*) AS REAL) / COUNT(DISTINCT T1.BrandID) AS avgreview FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.State = 'CA'	beer_factory
SELECT COUNT(CustomerID) FROM customers WHERE Gender = 'F' AND SubscribedToEmailList = 'TRUE'	beer_factory
SELECT BrandName FROM rootbeerbrand ORDER BY FirstBrewedYear DESC LIMIT 1	beer_factory
SELECT First, Last FROM customers ORDER BY FirstPurchaseDate LIMIT 10	beer_factory
SELECT COUNT(BreweryName) FROM rootbeerbrand WHERE Country = 'Australia'	beer_factory
SELECT COUNT(CustomerID) FROM customers WHERE First = 'Charles' AND City = 'Sacramento'	beer_factory
SELECT COUNT(TransactionID) FROM `transaction` WHERE CreditCardType = 'MasterCard' AND TransactionDate LIKE '2014%'	beer_factory
SELECT T3.BrandName FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T1.First = 'Jayne' AND T1.Last = 'Collins' AND T2.StarRating = 1	beer_factory
SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN location AS T3 ON T1.LocationID = T3.LocationID WHERE T3.LocationName = 'Sac State American River Courtyard' AND T1.PurchaseDate LIKE '2015%' AND T2.Honey = 'TRUE' AND T2.CaneSugar = 'FALSE' AND T1.ContainerType = 'Bottle'	beer_factory
SELECT T2.BreweryName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.PurchaseDate BETWEEN '2016-01-01' AND '2016-12-31' GROUP BY T2.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T3.BrandName = 'River City' AND T2.StarRating = 5	beer_factory
SELECT COUNT(T2.RootBeerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Tom' AND T1.Last = 'Hanks' AND T2.TransactionDate BETWEEN '2015-01-01' AND '2016-12-31'	beer_factory
SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.First = 'Nicholas' AND T1.Last = 'Sparks' AND T4.BrandName LIKE 'Henry Weinhard%s'	beer_factory
SELECT T2.BreweryName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.FacebookPage IS NULL AND T2.Twitter IS NULL GROUP BY T2.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT T3.LocationName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN location AS T3 ON T1.LocationID = T3.LocationID WHERE T2.BrandName = 'Dog n Suds' AND T3.LocationName IN ('Sac State American River Courtyard', 'Sac State Union') GROUP BY T1.LocationID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.ContainerType = 'Can' AND T2.BrandName = 'A&W' AND T1.PurchaseDate LIKE '2016%'	beer_factory
SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State Union'	beer_factory
SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 GROUP BY T2.BrandID HAVING COUNT(T2.StarRating) >= 5	beer_factory
SELECT T1.BrandName , CAST(SUM(CASE WHEN T2.PurchaseDate >= '2014-01-01' AND T2.PurchaseDate <= '2016-12-31' THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.BrandID) AS purchase FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BreweryName = 'Dr Pepper Snapple Group' GROUP BY T2.BrandID	beer_factory
SELECT T3.BrandName, T2.CustomerID FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID GROUP BY T3.BrandID ORDER BY T3.CurrentRetailPrice - T3.WholesaleCost, COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT First, Last, PhoneNumber FROM customers WHERE Gender = 'M' AND City = 'Fair Oaks' AND SubscribedToEmailList = 'TRUE'	beer_factory
SELECT CAST(COUNT(CASE WHEN ContainerType = 'Can' THEN RootBeerID ELSE NULL END) AS REAL) * 100 / COUNT(RootBeerID) FROM rootbeer WHERE PurchaseDate LIKE '2014%'	beer_factory
SELECT BrandName FROM rootbeerbrand WHERE FirstBrewedYear BETWEEN '1996' AND '2000' ORDER BY FirstBrewedYear DESC	beer_factory
SELECT BrandID FROM rootbeerreview WHERE StarRating = 1 GROUP BY BrandID ORDER BY COUNT(BrandID) DESC LIMIT 1	beer_factory
SELECT CAST(COUNT(CASE WHEN CreditCardType = 'Visa' THEN TransactionID ELSE NULL END) AS REAL) * 100 / COUNT(TransactionID) FROM `transaction`	beer_factory
SELECT COUNT(BrandID) FROM rootbeerbrand WHERE CornSyrup = 'TRUE' AND ArtificialSweetener = 'TRUE' AND AvailableInCans = 'TRUE'	beer_factory
SELECT CAST(COUNT(CASE WHEN T2.LocationName = 'Sac State American River Courtyard' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID	beer_factory
SELECT CAST(COUNT(T2.RootBeerID) AS REAL) / COUNT(DISTINCT T2.PurchaseDate) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.Caffeinated = 'TRUE'	beer_factory
SELECT * FROM ( SELECT T1.BrandName, T2.ContainerType FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID ORDER BY T1.CurrentRetailPrice - T1.WholesaleCost DESC LIMIT 1 ) UNION ALL SELECT * FROM ( SELECT T3.BrandName, T4.ContainerType FROM rootbeerbrand AS T3 INNER JOIN rootbeer AS T4 ON T3.BrandID = T4.BrandID ORDER BY T3.CurrentRetailPrice - T3.WholesaleCost ASC LIMIT 1 )	beer_factory
SELECT AVG(T2.PurchasePrice) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T1.ContainerType = 'Bottle' AND T2.PurchasePrice > 2	beer_factory
SELECT COUNT(T4.BrandID) FROM `transaction` AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID INNER JOIN location AS T3 ON T1.LocationID = T3.LocationID INNER JOIN rootbeer AS T4 ON T1.RootBeerID = T4.RootBeerID WHERE T2.Latitude = 38.559615 AND T2.Longitude = -121.42243 AND T4.ContainerType = 'Bottle'	beer_factory
SELECT CAST(COUNT(CASE WHEN T2.StarRating > 3 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'FALSE'	beer_factory
SELECT T3.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.StarRating = 5 AND strftime('%Y', T2.ReviewDate) = '2012' GROUP BY T1.BrandID ORDER BY COUNT(T2.BrandID) DESC LIMIT 1	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.Gender = 'F' AND T4.ArtificialSweetener = 'TRUE'	beer_factory
SELECT COUNT(CASE WHEN T3.CaneSugar = 'TRUE' THEN T1.BrandID ELSE NULL END) - COUNT(CASE WHEN T3.CornSyrup = 'TRUE' THEN T1.BrandID ELSE NULL END) AS DIFFERENCE FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID	beer_factory
SELECT T3.BreweryName FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2015%' GROUP BY T3.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT CAST(COUNT(CASE WHEN T4.BrandName = 'Dominion' THEN T1.CustomerID ELSE NULL END) AS REAL) * 100 / COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.City = 'Sacramento' AND T1.Gender = 'M' AND T2.TransactionDate LIKE '2014%'	beer_factory
SELECT (CAST(SUM(CASE WHEN T1.Honey = 'TRUE' THEN 1 ELSE 0 END) AS REAL) / COUNT(DISTINCT T3.TransactionDate)) - (CAST(SUM(CASE WHEN T1.Honey <> 'TRUE' THEN 1 ELSE 0 END) AS REAL) / COUNT(DISTINCT T3.TransactionDate)) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID	beer_factory
SELECT DISTINCT T1.First, T1.Last, T1.Email FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.LocationName = 'Sac State Union' AND T2.CreditCardType = 'American Express'	beer_factory
SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2014-09-01' AND '2014-09-30'	beer_factory
SELECT DISTINCT T2.Latitude, T2.Longitude FROM `transaction` AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.CreditCardType = 'American Express'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.City = 'Folsom' AND T2.CreditCardType = 'Visa'	beer_factory
SELECT DISTINCT T1.City FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2012-11-01' AND '2012-11-30'	beer_factory
SELECT T3.BrandName FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T1.First = 'Peg' AND T1.Last = 'Winchester'	beer_factory
SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T2.BrandID = T1.BrandID WHERE T2.StarRating = 1 GROUP BY T1.BrandName ORDER BY COUNT(T1.BrandName) DESC LIMIT 1	beer_factory
SELECT T2.CreditCardType FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T3.Alcoholic = 'FALSE' GROUP BY T2.CreditCardType ORDER BY COUNT(T2.CreditCardType) DESC LIMIT 1	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5	beer_factory
SELECT T3.Latitude FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T2.BrandName = 'Thomas Kemper' GROUP BY T3.Latitude ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT T2.StarRating FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.CornSyrup = 'TRUE' GROUP BY T2.StarRating ORDER BY COUNT(T2.StarRating) DESC LIMIT 1	beer_factory
SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.ZipCode = 95819	beer_factory
SELECT DISTINCT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID INNER JOIN geolocation AS T3 ON T1.LocationID = T3.LocationID WHERE T3.Latitude = '38.566129' AND T3.Longitude = '-121.426432'	beer_factory
SELECT AVG(T2.CurrentRetailPrice - T2.WholesaleCost) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.ContainerType = 'Can'	beer_factory
SELECT CAST(COUNT(CASE WHEN T1.StarRating = 3 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.CustomerID) FROM rootbeerreview AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.CreditCardType = 'Discover'	beer_factory
SELECT BrandID FROM rootbeerreview WHERE StarRating > 3	beer_factory
SELECT COUNT(BrandID) FROM rootbeer WHERE ContainerType = 'Bottle' AND PurchaseDate BETWEEN '2015-04-03' AND '2015-10-26'	beer_factory
SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.Review = 'The quintessential dessert root beer. No ice cream required.'	beer_factory
SELECT DISTINCT T1.Email, T1.PhoneNumber FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating > 3 AND T1.City = 'Sacramento' AND T2.ReviewDate BETWEEN '2014-01-01' AND '2014-12-31'	beer_factory
SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 4 AND T1.City = 'Sacramento' AND T1.Gender = 'F' AND T1.SubscribedToEmailList = 'TRUE' AND T2.ReviewDate BETWEEN '2013-01-03' AND '2013-10-26'	beer_factory
SELECT DISTINCT T2.BreweryName, T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.PurchaseDate < '2015-06-06' AND T1.ContainerType = 'Can'	beer_factory
SELECT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.FirstBrewedYear < '1930-01-01' AND T1.ContainerType = 'Bottle' ORDER BY T2.FirstBrewedYear LIMIT 1	beer_factory
SELECT COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Anna' AND T1.Last = 'Himes' AND T2.CreditCardType = 'MasterCard' AND T2.TransactionDate BETWEEN '2014-12-25' AND '2016-05-20'	beer_factory
SELECT AVG(T2.StarRating) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.BrandID = 10018 AND T1.Gender = 'F' AND T2.ReviewDate BETWEEN '2013-01-25' AND '2015-03-10'	beer_factory
SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.CustomerID = 331115 AND T2.Review = 'Yuk, more like licorice soda.' AND T2.StarRating = 1	beer_factory
SELECT SUM(T1.PurchasePrice) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'Visa' AND T1.TransactionDate BETWEEN '2014-06-03' AND '2015-11-27'	beer_factory
SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union' AND T1.CreditCardType = 'American Express' AND T1.TransactionDate BETWEEN '2014-01-01' AND '2014-12-31'	beer_factory
SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State Union'	beer_factory
SELECT T2.Review FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BrandName = 'Bulldog' AND T2.ReviewDate = '2013-07-26'	beer_factory
SELECT T1.BrandName, T1.CurrentRetailPrice - T1.WholesaleCost AS result FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2013-01-01' AND '2013-12-31'	beer_factory
SELECT T1.First, T1.Last , strftime('%J', ReviewDate) - strftime('%J', FirstPurchaseDate) AS TIMEAGO FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID LIMIT 1	beer_factory
SELECT DISTINCT T2.CreditCardType FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Kenneth' AND T1.Last = 'Walton'	beer_factory
SELECT T4.ContainerType, T3.BrandName, T1.StarRating FROM rootbeerreview AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID INNER JOIN rootbeer AS T4 ON T2.RootBeerID = T4.RootBeerID WHERE T2.RootBeerID = 100054	beer_factory
SELECT T2.RootBeerID FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T2.CustomerID = T1.CustomerID WHERE (T1.First = 'Tim' AND T1.Last = 'Ocel') OR (T1.First = 'Dawn' AND T1.Last = 'Childress')	beer_factory
SELECT T1.RootBeerID FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T2.BrandID = T1.BrandID WHERE T2.BrandName IN ('Bulldog', 'Bundaberg', 'Dad''s', 'Dog n Suds', 'Virgil''s')	beer_factory
SELECT COUNT(T3.ContainerType) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T2.CustomerID = T1.CustomerID INNER JOIN rootbeer AS T3 ON T3.RootBeerID = T2.RootBeerID WHERE T3.ContainerType = 'Bottle' AND T1.First = 'Jim' AND T1.Last = 'Breech'	beer_factory
SELECT COUNT(T3.RootBeerID) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.State = 'CA'	beer_factory
SELECT AVG(T2.StarRating) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'TRUE'	beer_factory
SELECT ( SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.State = 'LA' AND T1.ContainerType = 'Bottle' ) - ( SELECT COUNT(T3.BrandID) FROM rootbeer AS T3 INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T4.State = 'MO' AND T3.ContainerType = 'Bottle' ) AS DIFFERENCE	beer_factory
SELECT CAST(COUNT(CASE WHEN T2.LocationName = 'Sac State American River Courtyard' THEN T1.TransactionID ELSE NULL END) AS REAL) * 100 / COUNT(CASE WHEN T2.LocationName = 'Sac State Union' THEN T1.TransactionID ELSE NULL END) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID	beer_factory
SELECT T1.First, T1.Last, T2.CreditCardType FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.CustomerID ORDER BY SUM(T2.PurchasePrice) DESC LIMIT 10	beer_factory
SELECT T1.BrandName, SUM(T3.PurchasePrice) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.CaneSugar = 'FALSE' AND T1.Caffeinated = 'FALSE' GROUP BY T1.BrandName	beer_factory
SELECT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID GROUP BY T2.BrandID ORDER BY COUNT(T1.BrandID) LIMIT 1	beer_factory
SELECT T1.BrandID, AVG(T1.StarRating) FROM rootbeerreview AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID GROUP BY T3.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1	beer_factory
SELECT CAST((SUM(CASE WHEN T3.BrandName = 'River City' THEN T2.PurchasePrice ELSE 0 END) - SUM(CASE WHEN T3.BrandName = 'Frostie' THEN T2.PurchasePrice ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T3.BrandName = 'Frostie' THEN T2.PurchasePrice ELSE 0 END) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID	beer_factory
SELECT DISTINCT City FROM customers WHERE State = 'CA'	beer_factory
SELECT CAST(COUNT(CASE WHEN Gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(SubscribedToEmailList) FROM customers WHERE SubscribedToEmailList = 'TRUE'	beer_factory
SELECT DISTINCT T2.CreditCardType FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Dick' AND T1.Last = 'Ruthven'	beer_factory
SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union'	beer_factory
SELECT T2.StarRating FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeerbrand AS T3 ON T2.BrandID = T3.BrandID WHERE T1.First = 'Urijah' AND T1.Last = 'Faber' AND T3.BrandName = 'Frostie'	beer_factory
SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T2.BrandID = T1.BrandID WHERE T2.StarRating = 1 AND T2.Review = 'Too Spicy!'	beer_factory
SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'MasterCard'	beer_factory
SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.CaneSugar = 'TRUE' AND T1.Honey = 'TRUE' AND T2.StarRating = 1 AND T2.ReviewDate LIKE '2012%'	beer_factory
SELECT DISTINCT T1.Latitude, T1.Longitude FROM geolocation AS T1 INNER JOIN `transaction` AS T2 ON T2.LocationID = T1.LocationID INNER JOIN customers AS T3 ON T3.CustomerID = T2.CustomerID WHERE T3.First = 'Tommy' AND T3.Last = 'Kono' AND T2.TransactionDate LIKE '2014%'	beer_factory
SELECT T1.Email FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.TransactionID = '100016'	beer_factory
SELECT COUNT(T1.RootBeerID) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID WHERE T1.ContainerType = 'Bottle' AND T2.CreditCardType = 'American Express'	beer_factory
SELECT T2.LocationName FROM rootbeer AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.ContainerType = 'Bottle' GROUP BY T2.LocationID ORDER BY COUNT(T1.LocationID) DESC LIMIT 1	beer_factory
SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 LIMIT 3	beer_factory
SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State American River Courtyard'	beer_factory
SELECT COUNT(SalesID) FROM Sales WHERE CustomerID = 80	sales
SELECT SUM(Quantity) FROM Sales WHERE SalesID BETWEEN 1 AND 10	sales
SELECT AVG(Quantity) FROM Sales WHERE SalesID BETWEEN 20 AND 30	sales
SELECT DISTINCT ProductID FROM Sales WHERE Quantity = ( SELECT MAX(Quantity) FROM Sales )	sales
SELECT COUNT(DISTINCT ProductID) FROM Products WHERE Price = ( SELECT MAX(Price) FROM Products )	sales
SELECT Name FROM Products WHERE Price = 0	sales
SELECT Name FROM Products WHERE ProductID BETWEEN 1 AND 10	sales
SELECT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.Quantity LIMIT 1	sales
SELECT COUNT(T1.CustomerID) FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Hex Nut 9'	sales
SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Flat Washer 8'	sales
SELECT DISTINCT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.SalesPersonID = 10	sales
SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T2.ProductID = 1	sales
SELECT T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.SalesID = 178	sales
SELECT DISTINCT T1.ProductID FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Abby'	sales
SELECT DISTINCT T2.ProductID FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T1.FirstName = 'Meander'	sales
SELECT T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T2.SalesID = 100	sales
SELECT DISTINCT T3.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T1.FirstName = 'Abigail'	sales
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.CustomerID = 11782 AND T1.Price = 0	sales
SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.SalesPersonID = 5	sales
SELECT T1.SalesID FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE SUBSTR(T2.FirstName, 1, 1) = 's'	sales
SELECT T1.Price FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.CustomerID BETWEEN 1 AND 100 ORDER BY T1.Price DESC LIMIT 1	sales
SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.LastName = 'Valdez' ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT SUM(IIF(T2.FirstName = 'Morningstar', 1, 0)) + SUM(IIF(T2.FirstName = 'Heather', 1, 0)) + SUM(IIF(T2.FirstName = 'Dean', 1, 0)) AS num FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID	sales
SELECT IIF(T1.ProductID = 498, 'YES', 'NO') FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Alex'	sales
SELECT SUM(T3.Price * T2.quantity) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.FirstName = 'Adam'	sales
SELECT SUM(T1.Price * T2.quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID BETWEEN 400 AND 500	sales
SELECT SUM(T2.Quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE SUBSTR(T1.Name, 1, 1) = 'C'	sales
SELECT SUM(T2.Quantity) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.FirstName = 'Adam'	sales
SELECT ProductID FROM Products ORDER BY Price DESC LIMIT 5	sales
SELECT COUNT(ProductID) FROM Products WHERE Price = 0	sales
SELECT DISTINCT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Quantity > 950	sales
SELECT DISTINCT T2.FirstName, T2.MiddleInitial, T2.LastName FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T1.Quantity = 1000	sales
SELECT T3.Name, T2.Quantity FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T2.SalesID BETWEEN 1 AND 10	sales
SELECT SUM(T1.Price * T2.quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Reflector'	sales
SELECT IIF(SUM(IIF(T1.Name = 'HL Mountain Frame - Silver, 42', T2.SalesID, 0)) - SUM(IIF(T1.Name = 'HL Mountain Frame - Black, 42', T2.SalesID, 0)) > 0, 'Silver', 'Black') FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID	sales
SELECT ( SELECT Price FROM Products WHERE Name = 'HL Mountain Frame - Black, 42' ) - ( SELECT Price FROM Products WHERE Name = 'LL Mountain Frame - Black, 42' ) AS num	sales
SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Employees AS T2 ON T1.SalesPersonID = T2.EmployeeID WHERE T2.FirstName = 'Michel' AND T2.MiddleInitial = 'e' AND T2.LastName = 'DeFrance'	sales
SELECT CAST(COUNT(T1.CustomerID) AS REAL) / COUNT(T3.EmployeeID) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID	sales
SELECT COUNT(T2.CustomerID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T3.FirstName = 'Innes' AND T3.LastName = 'del Castillo' AND T1.Name = 'Short-Sleeve Classic Jersey, L' AND T3.MiddleInitial = 'e'	sales
SELECT DISTINCT T3.FirstName, T3.MiddleInitial, T3.LastName FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID INNER JOIN Customers AS T4 ON T2.CustomerID = T4.CustomerID WHERE T4.MiddleInitial = 'A' AND T4.LastName = 'White' AND T1.Name = 'Road-250 Black, 48' AND T4.FirstName = 'Elizabeth'	sales
SELECT COUNT(T2.SalesPersonID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Headlights - Weatherproof'	sales
SELECT SUM(T2.Quantity * T1.Price) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'HL Road Frame - Red, 56'	sales
SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Joe' AND T2.MiddleInitial = 'L' AND T2.LastName = 'Lopez'	sales
SELECT DISTINCT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T3.Name = 'Touring Rim' AND T3.Price = 0	sales
SELECT COUNT(CustomerID) FROM Sales GROUP BY SalesPersonID	sales
SELECT COUNT(EmployeeID) FROM Employees	sales
SELECT FirstName, MiddleInitial, LastName FROM Employees WHERE EmployeeID = 7	sales
SELECT Name FROM Products WHERE Price IN (( SELECT MAX(Price) FROM Products ), ( SELECT MIN(Price) FROM Products ))	sales
SELECT CAST(SUM(IIF(T3.FirstName = 'Albert' AND T3.MiddleInitial = 'I' AND T3.LastName = 'Ringer', 1, 0)) AS REAL) * 100 / COUNT(T2.CustomerID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T1.Name = 'ML Bottom Bracket'	sales
SELECT COUNT(CustomerID) FROM Customers WHERE FirstName = 'Abigail'	sales
SELECT DISTINCT T2.Quantity FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Blade'	sales
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT T1.FirstName, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.SalesPersonID = 20 ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT DISTINCT T1.FirstName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T2.Quantity > 500	sales
SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.SalesPersonID = 1	sales
SELECT SUM(T2.Quantity) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T2.SalesPersonID = 1 AND T1.FirstName = 'Aaron' AND T1.LastName = 'Alexander' AND T3.FirstName = 'Abraham'	sales
SELECT T1.FirstName, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Quantity > 600	sales
SELECT T1.FirstName, T1.LastName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.FirstName = 'Cameron' ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT T2.SalesID FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name LIKE 'Hex Nut%' AND T1.Price > 100	sales
SELECT DISTINCT T2.CustomerID FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price BETWEEN 1000 AND 2000	sales
SELECT SUM(T2.Quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price = 0	sales
SELECT CAST(SUM(IIF(T1.Price = 0, T2.Quantity, 0)) AS REAL) * 100 / SUM(T2.Quantity)FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID	sales
SELECT CAST(SUM(IIF(T1.Name = 'Blade', T2.Quantity, 0)) AS REAL) * 100 / SUM(T2.Quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID	sales
SELECT COUNT(LastName) FROM Employees WHERE LastName = 'Ringer'	sales
SELECT COUNT(ProductID) FROM Products WHERE ProductID < 15 AND Price <= 10	sales
SELECT DISTINCT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T3.FirstName = 'Aaron' AND T3.LastName = 'Alexander'	sales
SELECT T1.ProductID, T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.quantity BETWEEN 400 AND 500 ORDER BY T1.Price DESC LIMIT 1	sales
SELECT T2.FirstName, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Kate' ORDER BY T1.Quantity DESC LIMIT 1	sales
SELECT T2.CustomerID, T2.SalesID FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price BETWEEN 100 AND 150 AND T2.Quantity < 25	sales
SELECT T2.Quantity, T1.Price FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T3.FirstName = 'Abigail' AND T3.LastName = 'Henderson'	sales
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T2.quantity = 60 AND T1.Price <= 500	sales
SELECT COUNT(T1.ProductID) FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.FirstName = 'Erica' AND T1.Quantity < 200	sales
SELECT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T3.FirstName = 'Kathryn' AND T3.LastName = 'Ashe' ORDER BY T2.Quantity DESC LIMIT 1	sales
SELECT DISTINCT T2.Price, T1.Quantity FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Seat Tube'	sales
SELECT T3.Price, T3.Name FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T1.ProductID = T3.ProductID WHERE T2.FirstName = 'Erica' AND T2.LastName = 'Xu'	sales
SELECT T1.SalesID FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'External Lock Washer 7' AND T1.Quantity = 590	sales
SELECT T2.FirstName, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Quantity = 403 AND T1.SalesID BETWEEN 30 AND 40	sales
SELECT T2.CustomerID, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Quantity > ( SELECT AVG(Quantity) FROM Sales ) * 0.9	sales
SELECT CAST(SUM(IIF(T2.Price BETWEEN 200 AND 300, 1, 0)) AS REAL) * 100 / COUNT(T2.Price) FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T1.SalesID BETWEEN 1 AND 200	sales
SELECT Name FROM Products WHERE Price = ( SELECT MAX(Price) FROM Products )	sales
SELECT COUNT(CustomerID) FROM Customers WHERE FirstName = 'Madison'	sales
SELECT COUNT(ProductID) FROM Products WHERE Name LIKE '%HL Touring Frame%'	sales
SELECT COUNT(CustomerID) FROM Customers GROUP BY LastName ORDER BY COUNT(LastName) DESC LIMIT 1	sales
SELECT COUNT(ProductID) FROM Products WHERE Price = 0	sales
SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T2.SalesPersonID = T1.EmployeeID GROUP BY T2.SalesPersonID, T1.FirstName, T1.MiddleInitial, T1.LastName ORDER BY COUNT(T2.SalesID) DESC LIMIT 1	sales
SELECT T2.FirstName, T2.MiddleInitial, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T1.ProductID = T3.ProductID GROUP BY T1.SalesID, T1.Quantity, T3.Price, FirstName, MiddleInitial, LastName ORDER BY T1.Quantity * T3.Price DESC LIMIT 1	sales
SELECT SUM(T2.Quantity) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Mountain-500 Black, 42'	sales
SELECT SUM(T2.Quantity * T3.Price) FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.FirstName = 'Heather' AND T1.LastName = 'McBadden'	sales
SELECT SUM(T2.Quantity) FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.FirstName = 'Stearns' AND T1.LastName = 'MacFeather' AND T3.Name = 'Mountain-100 Silver, 38'	sales
SELECT COUNT(T2.ProductID) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.FirstName = 'Dalton' AND T1.MiddleInitial = 'M' AND T1.LastName = 'Coleman'	sales
SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID GROUP BY T2.SalesPersonID, T1.FirstName, T1.MiddleInitial, T1.LastName ORDER BY COUNT(T2.SalesID) DESC LIMIT 3	sales
SELECT T1.Name FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name LIKE 'Mountain-500 Black%' GROUP BY T2.Quantity, T1.Name ORDER BY SUM(T2.Quantity) DESC LIMIT 1	sales
SELECT COUNT(T2.SalesPersonID) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'ML Road Frame-W - Yellow, 40'	sales
SELECT T1.Quantity FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Chainring Bolts' AND T1.SalesID = 551971	sales
SELECT COUNT(*) FROM ( SELECT SUM(Quantity) FROM Sales WHERE ProductID IN ( SELECT ProductID FROM Products WHERE Name = 'Touring-2000 Blue, 50' ) GROUP BY Quantity, SalesPersonID HAVING SUM(Quantity) > 20000 )	sales
SELECT SUM(T2.Quantity * T3.Price) FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.FirstName = 'Abraham' AND T1.MiddleInitial = 'e' AND T1.LastName = 'Bennet' AND T3.Name = 'Road-650 Red, 60'	sales
SELECT T1.Name, SUM(T2.Quantity * T1.Price) FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID, T1.Name ORDER BY SUM(T2.Quantity) DESC LIMIT 1	sales
SELECT FirstName, LastName FROM Customers WHERE LastName = 'Chen'	sales
SELECT MiddleInitial FROM Employees GROUP BY MiddleInitial ORDER BY COUNT(MiddleInitial) DESC LIMIT 1	sales
SELECT AVG(Price) FROM Products WHERE Price BETWEEN 100 AND 200	sales
SELECT T2.FirstName, T2.MiddleInitial, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.Quantity HAVING T1.Quantity > ( SELECT AVG(Quantity) FROM Sales )	sales
SELECT T3.FirstName, T3.MiddleInitial, T3.LastName FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID ORDER BY T2.Quantity * T1.Price DESC LIMIT 1	sales
SELECT T1.FirstName, T1.MiddleInitial, T1.LastName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID ORDER BY T2.Quantity * T3.Price DESC LIMIT 1	sales
SELECT DISTINCT T3.FirstName, T3.MiddleInitial, T3.LastName FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T2.Quantity * T1.Price > 50000	sales
SELECT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.Quantity DESC LIMIT 1	sales
SELECT DISTINCT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Quantity < ( SELECT AVG(Quantity) FROM Sales )	sales
SELECT COUNT(*) FROM Dish WHERE first_appeared < 1851 OR first_appeared > 2012	menu
SELECT CASE WHEN SUM(CASE WHEN name = 'Anchovies' THEN last_appeared - first_appeared ELSE 0 END) - SUM(CASE WHEN name = 'Fresh lobsters in every style' THEN last_appeared - first_appeared ELSE 0 END) > 0 THEN 'Anchovies' ELSE 'Fresh lobsters in every style' END FROM Dish WHERE name IN ('Fresh lobsters in every style', 'Anchovies')	menu
SELECT name FROM Dish WHERE lowest_price = 0 ORDER BY menus_appeared DESC LIMIT 1	menu
SELECT COUNT(*) FROM Menu WHERE name = 'Waldorf Astoria' AND page_count = 4	menu
SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.menu_page_id = 1389 AND T2.xpos < 0.25 AND T2.ypos < 0.25	menu
SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Clear green turtle'	menu
SELECT SUM(CASE WHEN T1.name = 'Clear green turtle' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.highest_price IS NULL	menu
SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Clear green turtle' ORDER BY T2.price DESC LIMIT 1	menu
SELECT T1.menu_id FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Clear green turtle'	menu
SELECT SUM(CASE WHEN T3.currency = 'Dollars' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T4.name = 'Clear green turtle'	menu
SELECT SUM(CASE WHEN T4.name = 'Clear green turtle' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.call_number IS NULL	menu
SELECT T4.name FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.name = 'Zentral Theater Terrace'	menu
SELECT T4.name FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.name = 'Zentral Theater Terrace' ORDER BY T1.price DESC LIMIT 1	menu
SELECT SUM(CASE WHEN T3.name = 'Zentral Theater Terrace' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id	menu
SELECT SUM(CASE WHEN T3.name = 'Waldorf Astoria' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id	menu
SELECT T2.menu_id FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T4.name = 'Clear green turtle' AND T3.sponsor IS NULL	menu
SELECT AVG(T1.page_number) FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Clear green turtle'	menu
SELECT SUM(T1.price) / COUNT(T1.price) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id WHERE T3.name = 'Zentral Theater Terrace'	menu
SELECT COUNT(*) FROM MenuItem WHERE created_at LIKE '2011-03-28%'	menu
SELECT COUNT(*) FROM MenuItem WHERE menu_page_id = 144	menu
SELECT COUNT(*) FROM Menu WHERE location = 'Dutcher House'	menu
SELECT COUNT(*) FROM Dish WHERE times_appeared > menus_appeared	menu
SELECT COUNT(*) FROM Menu WHERE venue = 'STEAMSHIP'	menu
SELECT SUM(CASE WHEN T1.date = '1898-11-17' THEN 1 ELSE 0 END) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id	menu
SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.menu_page_id = 174	menu
SELECT T2.name, T1.dish_id FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.first_appeared = 1861	menu
SELECT T1.name, T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.created_at LIKE '2011-05-23%' ORDER BY T2.price DESC LIMIT 1	menu
SELECT T3.name FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T1.page_number = 30 ORDER BY T1.full_height DESC, T1.full_height ASC LIMIT 1	menu
SELECT T1.page_number, T2.name FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id ORDER BY T2.page_count DESC LIMIT 1	menu
SELECT COUNT(T1.dish_id) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id WHERE T2.page_number = 2 GROUP BY T3.name ORDER BY T3.dish_count DESC LIMIT 1	menu
SELECT T2.menu_id, T1.xpos, T1.ypos FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T4.name = 'Fresh lobsters in every style'	menu
SELECT T4.name FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.sponsor = 'CHAS.BRADLEY''S OYSTER & DINING ROOM' AND T1.xpos < 0.25 AND T1.ypos < 0.25	menu
SELECT T3.name, T3.event FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T4.name = 'Cerealine with Milk'	menu
SELECT CAST(SUM(CASE WHEN T2.xpos BETWEEN 0.25 AND 0.75 AND T2.ypos BETWEEN 0.25 AND 0.75 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.id) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name LIKE '%BLuefish%'	menu
SELECT sponsor FROM Menu WHERE id = 12463	menu
SELECT event FROM Menu WHERE sponsor = 'REPUBLICAN HOUSE'	menu
SELECT location FROM Menu WHERE id = 12472	menu
SELECT physical_description FROM Menu WHERE sponsor = 'Noviomagus'	menu
SELECT occasion FROM Menu WHERE id = 12463	menu
SELECT location FROM Menu WHERE sponsor = 'Norddeutscher Lloyd Bremen'	menu
SELECT T2.id FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.sponsor = 'Occidental & Oriental'	menu
SELECT T1.image_id FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.location = 'Manhattan Hotel'	menu
SELECT T1.full_height, T1.full_width FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.name = 'El Fuerte Del Palmar'	menu
SELECT CASE WHEN T2.uuid = 'c02c9a3b-6881-7080-e040-e00a180631aa' THEN 'yes' ELSE 'no' END AS yn FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.name = 'The Biltmore' AND T2.uuid = 'c02c9a3b-6881-7080-e040-e00a180631aa'	menu
SELECT T2.name FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id ORDER BY T1.full_height DESC LIMIT 1	menu
SELECT T1.page_count FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.id = 130	menu
SELECT T3.price FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id INNER JOIN MenuItem AS T3 ON T2.id = T3.menu_page_id WHERE T2.image_id = 4000009194	menu
SELECT T2.page_number FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id INNER JOIN MenuItem AS T3 ON T2.id = T3.menu_page_id WHERE T3.xpos > 0.75 AND T3.ypos < 0.25	menu
SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE SUBSTR(T1.created_at, 7, 1) = '4'	menu
SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.menu_page_id = 1389	menu
SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.id BETWEEN 1 AND 5 ORDER BY T2.price DESC LIMIT 1	menu
SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.xpos < 0.25 AND T2.ypos < 0.25	menu
SELECT SUM(CASE WHEN T2.uuid = '510d47e4-2958-a3d9-e040-e00a18064a99' THEN T1.dish_count ELSE 0 END) - SUM(CASE WHEN T2.uuid = '510d47e4-295a-a3d9-e040-e00a18064a99' THEN T1.dish_count ELSE 0 END) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id	menu
SELECT SUM(T2.price) FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id WHERE T1.menu_id = 12882	menu
SELECT name FROM Dish ORDER BY highest_price DESC LIMIT 5	menu
SELECT COUNT(*) FROM Dish WHERE lowest_price = 0	menu
SELECT name FROM Dish WHERE first_appeared = 1855 AND last_appeared = 1900	menu
SELECT name FROM Menu GROUP BY name ORDER BY dish_count DESC LIMIT 10	menu
SELECT COUNT(*) FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T1.dish_id = T2.id WHERE T1.xpos > 0.75 AND T1.ypos < 0.25	menu
SELECT T1.last_appeared - T1.first_appeared, T2.updated_at FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Clear green turtle'	menu
SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.last_appeared - T1.first_appeared > 100	menu
SELECT COUNT(*) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.last_appeared - T1.first_appeared < 5	menu
SELECT T2.name, T1.price FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.lowest_price = 0	menu
SELECT T1.price FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T2.id = T1.menu_page_id WHERE T2.menu_id = 12474 AND T2.page_number = 2	menu
SELECT SUM(CASE WHEN T2.created_at BETWEEN '2011-03-31 20:24:46 UTC' AND '2011-04-15 23:09:51 UTC' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id	menu
SELECT T2.sponsor FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T1.full_height = 10000	menu
SELECT T1.image_id, T1.full_height, T1.full_width FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.event = '100TH ANNIVERSARY OF BIRTH OF DANIEL WEBSTER'	menu
SELECT T1.event FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.full_width = 2000	menu
SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T2.price = 180000	menu
SELECT T2.xpos, T2.ypos, T1.last_appeared - T1.first_appeared FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Small Hominy'	menu
SELECT T1.full_height * T1.full_width, T1.page_number, T1.image_id FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Baked Stuffed Mullet & Sauce Pomard'	menu
SELECT COUNT(*) FROM Dish WHERE times_appeared > Dish.menus_appeared	menu
SELECT COUNT(*) FROM Menu WHERE date LIKE '2015-04%' AND sponsor = 'Krogs Fiskerestaurant'	menu
SELECT name FROM Dish ORDER BY last_appeared - Dish.first_appeared DESC LIMIT 1	menu
SELECT event FROM Menu WHERE date = '1887-07-21' AND id = 21380	menu
SELECT SUM(CASE WHEN T1.name = 'Emil Kuehn' THEN 1 ELSE 0 END) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id	menu
SELECT SUM(CASE WHEN T1.name = 'Puree of split peas aux croutons' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id	menu
SELECT T1.name FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE SUBSTR(T2.created_at, 1, 4) = '2011' AND SUBSTR(T2.created_at, 7, 1) = '4' AND T1.highest_price IS NULL	menu
SELECT T1.name FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id GROUP BY T2.menu_id ORDER BY COUNT(T2.page_number) DESC LIMIT 1	menu
SELECT T2.menu_page_id FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Mashed potatoes'	menu
SELECT COUNT(*) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.sponsor = 'PACIFIC MAIL STEAMSHIP COMPANY' GROUP BY T2.menu_id HAVING COUNT(T2.page_number) <= 2	menu
SELECT T1.menu_page_id FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T2.name = 'Milk' ORDER BY T1.price DESC LIMIT 1	menu
SELECT T2.menu_id FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.sponsor = 'OCCIDENTAL & ORIENTAL STEAMSHIP COMPANY' GROUP BY T2.menu_id ORDER BY COUNT(T2.page_number) DESC LIMIT 1	menu
SELECT T2.xpos, T2.ypos FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'breaded veal cutlet with peas'	menu
SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.xpos > 0.75 AND T1.ypos > 0.75 AND T1.menu_page_id = 48706	menu
SELECT T4.name FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id INNER JOIN MenuItem AS T3 ON T2.id = T3.menu_page_id INNER JOIN Dish AS T4 ON T3.dish_id = T4.id WHERE T1.sponsor = 'THE SOCIETY OF THE CUMBERLAND' AND T1.event = '19NTH REUNION' AND T1.place = 'GRAND PACIFIC HOTEL,CHICAGO,ILL'	menu
SELECT T4.sponsor FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id INNER JOIN Menu AS T4 ON T4.id = T1.menu_id WHERE T3.name = 'Baked apples with cream' AND T3.id = 107 ORDER BY T2.price DESC LIMIT 1	menu
SELECT COUNT(*), T1.dish_id FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.name = 'Souper de Luxe' GROUP BY T3.id ORDER BY COUNT(T1.dish_id) DESC LIMIT 1	menu
SELECT id FROM Menu WHERE sponsor IS NULL	menu
SELECT COUNT(*) FROM Menu WHERE event = 'LUNCH'	menu
SELECT COUNT(*) FROM Menu WHERE page_count > 10 AND dish_count > 20	menu
SELECT id FROM Menu ORDER BY dish_count DESC LIMIT 1	menu
SELECT COUNT(*) FROM Menu WHERE name = 'Zentral Theater Terrace'	menu
SELECT COUNT(*) FROM Menu WHERE call_number IS NULL AND strftime('%Y', date) < '1950'	menu
SELECT T2.image_id FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.name = 'Zentral Theater Terrace' AND T2.page_number = 1	menu
SELECT T1.name FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.image_id = 5189412	menu
SELECT CASE WHEN SUM(CASE WHEN T1.name = 'Zentral Theater Terrace' THEN T2.full_width ELSE 0 END) - SUM(CASE WHEN T1.name = 'Young''s Hotel' THEN T2.full_width ELSE 0 END) > 0 THEN 'Zentral Theater Terrace' ELSE 'Young''s Hotel' END FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id	menu
SELECT T1.page_number FROM MenuPage AS T1 INNER JOIN Menu AS T2 ON T2.id = T1.menu_id WHERE T2.name = 'Ritz Carlton' ORDER BY T1.full_height DESC LIMIT 1	menu
SELECT SUM(CASE WHEN T1.name = 'Ritz Carlton' THEN 1 ELSE 0 END) FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T2.full_width > 1000	menu
SELECT SUM(CASE WHEN T1.page_number = 1 THEN 1 ELSE 0 END) FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id WHERE T1.menu_id = 12882	menu
SELECT T3.name FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T1.menu_id = 12882 AND T1.page_number = 1	menu
SELECT T1.page_number FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Chicken gumbo'	menu
SELECT T1.id FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T3.name = 'Chicken gumbo' ORDER BY T1.full_width DESC LIMIT 1	menu
SELECT SUM(CASE WHEN T1.name = 'Chicken gumbo' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id	menu
SELECT SUM(CASE WHEN T1.name = 'Paysanne Soup' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.highest_price IS NULL	menu
SELECT T2.price FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.name = 'Chicken gumbo' ORDER BY T2.price DESC LIMIT 1	menu
SELECT T2.full_height * T2.full_width FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.name = 'Zentral Theater Terrace' AND T2.page_number = 1	menu
SELECT CAST(COUNT(dish_id) AS REAL) / COUNT(T3.page_count) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id WHERE T2.menu_id = 12882	menu
SELECT COUNT(T2.ship_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'S K L Enterprises Inc' AND STRFTIME('%Y', T2.ship_date) = '2017'	shipping
SELECT SUM(T2.weight) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'S K L Enterprises Inc'	shipping
SELECT COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T1.cust_name = 'S K L Enterprises Inc' AND T3.first_name = 'Sue' AND T3.last_name = 'Newell'	shipping
SELECT COUNT(T1.cust_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.state = 'FL'	shipping
SELECT T2.ship_id FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type = 'retailer'	shipping
SELECT COUNT(COUNTCUSID) FROM ( SELECT COUNT(T1.cust_id) AS COUNTCUSID FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2017' AND T1.annual_revenue > 30000000 GROUP BY T1.cust_id HAVING COUNT(T2.ship_id) >= 1 ) T3	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.first_name = 'Sue' AND T2.last_name = 'Newell'	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' GROUP BY T2.first_name, T2.last_name ORDER BY COUNT(*) DESC LIMIT 1	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.state = 'New Jersey'	shipping
SELECT MAX(T1.weight) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'New York'	shipping
SELECT SUM(CASE WHEN T2.city_name = 'New York' THEN T1.weight ELSE 0 END) - SUM(CASE WHEN T2.city_name = 'Chicago' THEN T1.weight ELSE 0 END) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id	shipping
SELECT DISTINCT T3.city_name FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T1.cust_name = 'S K L Enterprises Inc'	shipping
SELECT AVG(T2.weight) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'S K L Enterprises Inc'	shipping
SELECT CAST(SUM(CASE WHEN T2.city_name = 'Jacksonville' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'Florida'	shipping
SELECT T1.make FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = 1045	shipping
SELECT COUNT(*) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id GROUP BY T1.model_year ORDER BY T1.model_year ASC LIMIT 1	shipping
SELECT T1.cust_name FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T2.ship_id = '1275'	shipping
SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1701'	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1021'	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_date = '2017-11-05'	shipping
SELECT T2.population FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1398'	shipping
SELECT MIN(T1.ship_date) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'SC'	shipping
SELECT T1.weight FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Leszek' AND T2.last_name = 'Kieltyka' AND T1.ship_date = '2017-09-25'	shipping
SELECT T2.area FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1346'	shipping
SELECT T1.weight FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.cust_name = 'U-haul Center Of N Syracuse' AND T1.ship_date = '2016-09-21'	shipping
SELECT T3.first_name, T3.last_name FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T1.truck_id = '3' AND T2.ship_date = '2016-09-19'	shipping
SELECT T2.area / T2.population FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1369'	shipping
SELECT CAST(COUNT(T2.ship_id) AS REAL) / COUNT(DISTINCT T1.truck_id) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Kenworth'	shipping
SELECT T1.weight FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Sue' AND T2.last_name = 'Newell' ORDER BY T1.ship_date ASC LIMIT 1	shipping
SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id ORDER BY T1.weight DESC LIMIT 1	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id ORDER BY T1.ship_date ASC LIMIT 1	shipping
SELECT COUNT(T2.ship_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_name = 'Olympic Camper Sales Inc'	shipping
SELECT COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.city_name = 'New York' AND T1.cust_name = 'Harry''s Hot Rod Auto & Truck Accessories'	shipping
SELECT COUNT(T2.ship_id) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Mack' ORDER BY T2.weight DESC LIMIT 1	shipping
SELECT T1.first_name, T1.last_name FROM driver AS T1 INNER JOIN shipment AS T2 ON T1.driver_id = T2.driver_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id GROUP BY T1.first_name, T1.last_name, T3.population HAVING T3.population = MAX(T3.population) ORDER BY COUNT(*) DESC LIMIT 1	shipping
SELECT COUNT(*) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.weight < 1000 ORDER BY T1.model_year ASC LIMIT 1	shipping
SELECT T2.annual_revenue FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id GROUP BY T1.cust_id ORDER BY COUNT(T1.cust_id) DESC LIMIT 1	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.city_name = 'Downey' AND STRFTIME('%Y', T1.ship_date) = '2016' AND T3.state = 'CA'	shipping
SELECT COUNT(*) FROM driver AS T1 INNER JOIN shipment AS T2 ON T1.driver_id = T2.driver_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T1.first_name = 'Holger' AND T1.last_name = 'Nohr' AND T3.city_name = 'North Las Vegas'	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id ORDER BY T2.area / T2.population DESC LIMIT 1	shipping
SELECT CAST(SUM(CASE WHEN cust_type = 'manufacturer' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer WHERE state = 'TX'	shipping
SELECT SUM(T1.weight) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'San Mateo' AND STRFTIME('%Y', T1.ship_date) = '2016'	shipping
SELECT SUM(T2.weight) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Peterbilt' AND STRFTIME('%Y', T2.ship_date) = '2016' ORDER BY T1.model_year DESC LIMIT 1	shipping
SELECT T1.weight, T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T1.city_id WHERE T3.city_name = 'Boston' ORDER BY T1.weight DESC LIMIT 1	shipping
SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1002'	shipping
SELECT AVG(T2.weight) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T1.make = 'Mack'	shipping
SELECT T3.first_name, T3.last_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.city_name = 'New York' AND T1.ship_date LIKE '2016-02%'	shipping
SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T1.city_id WHERE T3.city_name = 'Oak Park'	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T3.first_name = 'Andrea' AND T3.last_name = 'Simons' AND T2.city_name = 'Huntsville' AND STRFTIME('%Y', T1.ship_date) = '2016'	shipping
SELECT CAST(COUNT(*) AS REAL) / (12 * COUNT(T2.driver_id)) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id	shipping
SELECT CAST(SUM(CASE WHEN T1.weight >= 10000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.cust_name = 'Sunguard Window Tinting & Truck Accessories' AND STRFTIME('%Y', T1.ship_date) = '2017'	shipping
SELECT CAST(SUM(CASE WHEN T3.cust_name = 'Autoware Inc' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id INNER JOIN customer AS T3 ON T3.cust_id = T1.cust_id WHERE T2.first_name = 'Sue' AND T2.last_name = 'Newell'	shipping
SELECT COUNT(*) FROM ( SELECT T2.city_id AS CITYID FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.state = 'New Jersey' GROUP BY T2.city_id HAVING SUM(T1.weight) > 20000 )	shipping
SELECT COUNT(*) FROM city AS T1 INNER JOIN shipment AS T2 ON T1.city_id = T2.city_id WHERE T1.population > 50000 AND STRFTIME('%Y', T2.ship_date) = '2017'	shipping
SELECT T2.weight FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE make = 'Peterbilt'	shipping
SELECT T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1003'	shipping
SELECT T1.make FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1011'	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = 1028	shipping
SELECT T2.state FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1055'	shipping
SELECT T2.address FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id GROUP BY T2.driver_id HAVING SUM(T1.weight) > 50000	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_date = '2016-03-02'	shipping
SELECT AVG(T1.annual_revenue) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T2.weight < 65000	shipping
SELECT CAST(SUM(CASE WHEN T2.weight < 70000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.cust_type = 'wholesaler'	shipping
SELECT T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1088'	shipping
SELECT T2.phone FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id GROUP BY T2.driver_id HAVING SUM(T1.weight) > 20000	shipping
SELECT T1.make, T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1055'	shipping
SELECT COUNT(truck_id) FROM truck WHERE model_year = 2009	shipping
SELECT COUNT(*) FROM customer WHERE cust_type = 'manufacturer'	shipping
SELECT COUNT(*) FROM customer WHERE cust_type = 'retailer' AND state = 'CA'	shipping
SELECT COUNT(*) FROM city WHERE state = 'Connecticut'	shipping
SELECT city_name FROM city WHERE state = 'California' AND population = ( SELECT MAX(population) FROM city WHERE state = 'California' )	shipping
SELECT annual_revenue FROM customer WHERE cust_name = 'Klett & Sons Repair'	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id ORDER BY T1.weight ASC LIMIT 1	shipping
SELECT COUNT(*) AS per FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2016' AND T1.state = 'CA'	shipping
SELECT DISTINCT T1.make FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T3.first_name = 'Zachery' AND T3.last_name = 'Hicks'	shipping
SELECT T1.cust_name FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T2.ship_date LIKE '2017-02%'	shipping
SELECT T3.make, T4.first_name, T4.last_name FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN truck AS T3 ON T3.truck_id = T2.truck_id INNER JOIN driver AS T4 ON T4.driver_id = T2.driver_id WHERE T1.cust_name = 'Klett & Sons Repair'	shipping
SELECT T1.ship_id FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Zachery' AND T2.last_name = 'Hicks' ORDER BY T1.weight DESC LIMIT 1	shipping
SELECT COUNT(*) FROM city AS T1 INNER JOIN shipment AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T3.first_name = 'Zachery' AND T3.last_name = 'Hicks' AND T1.city_name = 'New York' AND STRFTIME('%Y', T2.ship_date) = '2016'	shipping
SELECT CASE WHEN T2.make = 'Peterbilt' THEN 'Texas (TX)' WHEN T2.make = 'Mack' THEN 'North Carolina (NC)' WHEN T2.make = 'Kenworth' THEN 'Washington (WA)' END AS "result" FROM shipment AS T1 INNER JOIN truck AS T2 ON T1.truck_id = T2.truck_id WHERE CAST(T1.ship_date AS DATE) = 2016 GROUP BY T2.make ORDER BY COUNT(T1.ship_id) DESC LIMIT 1	shipping
SELECT COUNT(T3.city_name) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id INNER JOIN city AS T3 ON T3.city_id = T2.city_id WHERE T3.state = 'California' ORDER BY T3.population ASC LIMIT 1	shipping
SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id ORDER BY T1.weight DESC LIMIT 1	shipping
SELECT DISTINCT T3.city_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id INNER JOIN city AS T3 ON T1.city_id = T3.city_id WHERE T2.first_name = 'Zachery' AND T2.last_name = 'Hicks'	shipping
SELECT CAST(SUM(CASE WHEN T2.first_name = 'Zachery' AND T2.last_name = 'Hicks' THEN T1.ship_id ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2017'	shipping
SELECT CAST(SUM(CASE WHEN T2.first_name = 'Zachery' AND T2.last_name = 'Hicks' THEN T1.weight ELSE 0 END) AS REAL) * 100 / SUM(T1.weight) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2016'	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.driver_id = 23	shipping
SELECT T1.ship_id FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id ORDER BY T2.area DESC LIMIT 1	shipping
SELECT T3.first_name, T3.last_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id ORDER BY T2.population ASC LIMIT 1	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city_name = 'Cicero' AND T2.state = 'Illinois' AND T1.weight BETWEEN 9000 AND 15000	shipping
SELECT T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1233'	shipping
SELECT T3.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id INNER JOIN driver AS T3 ON T3.driver_id = T1.driver_id WHERE T2.address = '7052 Carroll Road' AND T2.city = 'San Diego' AND T2.state = 'CA'	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Maria' AND T2.last_name = 'Craft' AND STRFTIME('%Y', T1.ship_date) = '2017'	shipping
SELECT T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1245'	shipping
SELECT T2.address FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1127'	shipping
SELECT T2.annual_revenue FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T1.ship_id = '1047'	shipping
SELECT T1.weight FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T2.first_name = 'Andrea' AND T2.last_name = 'Simons' AND T1.ship_date = '2016-03-07'	shipping
SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_date = '2017-01-16'	shipping
SELECT COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'NY'	shipping
SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T1.ship_id = '1147'	shipping
SELECT T1.ship_id FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id ORDER BY T2.population DESC LIMIT 1	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_date = '2016-02-22'	shipping
SELECT T1.weight FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.annual_revenue = 39448581	shipping
SELECT T2.address FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T1.ship_id = '1117'	shipping
SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', T1.ship_date) = '2017' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'TX'	shipping
SELECT SUM(CASE WHEN T1.model_year = '2005' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.model_year = '2006' THEN 1 ELSE 0 END) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id	shipping
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.weight * 100 > ( SELECT 95 * AVG(weight) FROM shipment )	shipping
SELECT title, words FROM pages WHERE title = ( SELECT MAX(LENGTH(title)) FROM pages )	language_corpus
SELECT title FROM pages WHERE words < 10	language_corpus
SELECT page FROM pages WHERE title LIKE 'Art%' OR title LIKE '%Art%' OR title LIKE '%Art'	language_corpus
SELECT title FROM pages WHERE revision = 16203226	language_corpus
SELECT title FROM pages WHERE revision BETWEEN 106600 AND 106700	language_corpus
SELECT COUNT(pid) FROM pages WHERE words BETWEEN 1000 AND 2000	language_corpus
SELECT T2.pid FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'decimal'	language_corpus
SELECT T1.word FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T2.occurrences = ( SELECT MAX(occurrences) FROM pages_words )	language_corpus
SELECT T1.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st WHERE T2.w2nd = ( SELECT wid FROM words WHERE word = 'antic' )	language_corpus
SELECT T1.title, T2.occurrences FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN words AS T3 ON T2.wid = T3.wid WHERE T3.word = 'quipu'	language_corpus
SELECT AVG(T2.occurrences) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st WHERE T2.w1st = ( SELECT wid FROM words WHERE word = 'sistema' )	language_corpus
SELECT pages FROM langs WHERE lang = 'ca'	language_corpus
SELECT w1st, w2nd FROM biwords WHERE occurrences = ( SELECT MAX(occurrences) FROM biwords )	language_corpus
SELECT wid FROM langs_words WHERE occurrences <= 10	language_corpus
SELECT title FROM pages WHERE words = ( SELECT MAX(words) FROM pages )	language_corpus
SELECT page FROM pages WHERE title = 'Arqueozoologia'	language_corpus
SELECT T2.wid, T2.occurrences FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.title = 'Abadia' ORDER BY T2.occurrences DESC LIMIT 1	language_corpus
SELECT T1.title FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid ORDER BY T1.words LIMIT 5	language_corpus
SELECT SUM(occurrences) FROM biwords WHERE w1st = 86 AND w2nd = 109	language_corpus
SELECT T1.word, T3.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T2.occurrences = 2	language_corpus
SELECT T3.w1st, T3.w2nd, T3.occurrences FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN biwords AS T3 ON T2.wid = T3.w1st OR T2.wid = T3.w2nd WHERE T1.title = 'Addicio' ORDER BY T3.occurrences DESC LIMIT 1	language_corpus
SELECT SUM(words) FROM pages WHERE title IN ('Adam', 'Acampada')	language_corpus
SELECT revision FROM pages WHERE title = 'Aigua dolça'	language_corpus
SELECT title FROM pages WHERE words = ( SELECT MAX(words) FROM pages )	language_corpus
SELECT CAST(SUM(CASE WHEN words >= 10 THEN words ELSE 0 END) AS REAL) / SUM(CASE WHEN words >= 10 THEN 1 ELSE 0 END) FROM pages	language_corpus
SELECT revision FROM pages WHERE words < 10 LIMIT 5	language_corpus
SELECT pid FROM pages WHERE title LIKE 'b%'	language_corpus
SELECT T1.title FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN words AS T3 ON T2.wid = T3.wid WHERE T3.word = 'desena'	language_corpus
SELECT T2.wid FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.title = 'Sometent'	language_corpus
SELECT CASE WHEN COUNT(T1.pid) > 0 THEN 'YES' ELSE 'NO' END AS YORN FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T2.wid = 88 AND T1.title = 'Animals'	language_corpus
SELECT T2.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'del' AND T3.title = 'Any anomalístic'	language_corpus
SELECT T1.word, T3.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T2.occurrences = 4 LIMIT 1	language_corpus
SELECT SUM(T2.occurrences) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st OR T1.wid = T2.w2nd WHERE T2.w1st IN (( SELECT wid FROM words WHERE word = 'nombre' ) OR T2.w2nd IN ( SELECT wid FROM words WHERE word = 'nombre' ))	language_corpus
SELECT w2nd FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'john' ) LIMIT 10	language_corpus
SELECT T3.revision FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'fresc'	language_corpus
SELECT T1.word AS W1, T3.word AS W2 FROM words AS T1 LEFT JOIN biwords AS T2 ON T1.wid = T2.w1st LEFT JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.wid <= 10 GROUP BY T1.wid	language_corpus
SELECT T1.word, T1.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T2.pid = ( SELECT pid FROM pages WHERE title = 'Atomium' ) LIMIT 3	language_corpus
SELECT word FROM words WHERE occurrences = ( SELECT MAX(occurrences) FROM words )	language_corpus
SELECT pid, title FROM pages WHERE title LIKE '%0%' OR '%1%' OR '%2%' OR '%3%' OR '%4%' OR '%5%' OR '%6%' OR '%7%' OR '%8%' OR '%9%'	language_corpus
SELECT title FROM pages WHERE title = ( SELECT MIN(words) FROM pages )	language_corpus
SELECT w1st, w2nd FROM biwords WHERE occurrences = ( SELECT MAX(occurrences) FROM biwords )	language_corpus
SELECT SUM(occurrences) FROM words WHERE LENGTH(word) = 3	language_corpus
SELECT AVG(words) FROM pages WHERE title LIKE 'A%'	language_corpus
SELECT CAST(SUM(CASE WHEN w1st = 34 THEN 1 ELSE 0 END) AS REAL) / COUNT(w1st) FROM biwords	language_corpus
SELECT CAST(COUNT(CASE WHEN words = 1500 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(page) FROM pages WHERE words > 300 LIMIT 3	language_corpus
SELECT CAST(COUNT(CASE WHEN w1st = w2nd THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(w1st) FROM biwords	language_corpus
SELECT T3.title FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'comunitat'	language_corpus
SELECT T3.page FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'ripoll'	language_corpus
SELECT occurrences FROM pages_words WHERE pid = ( SELECT pid FROM pages WHERE title = 'Llista de conflictes armats' )	language_corpus
SELECT CASE WHEN COUNT(T1.wid) > 0 THEN 'yes' ELSE 'no' END FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st OR T1.wid = T2.w2nd WHERE T2.w1st = ( SELECT wid FROM words WHERE T1.word = 'fukunaga' ) AND T2.w2nd = ( SELECT wid FROM words WHERE word LIKE 'd%egees' )	language_corpus
SELECT CAST(SUM(T2.occurrences) AS REAL) / COUNT(T1.page) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.words = 100	language_corpus
SELECT page FROM pages WHERE title = 'Acampada'	language_corpus
SELECT page FROM pages WHERE words > 300 LIMIT 3	language_corpus
SELECT occurrences FROM words WHERE wid = 8	language_corpus
SELECT word, wid FROM words ORDER BY occurrences DESC LIMIT 3	language_corpus
SELECT occurrences FROM biwords WHERE w1st = 1 AND w2nd = 25	language_corpus
SELECT words FROM pages WHERE revision = 27457362	language_corpus
SELECT CAST(COUNT(CASE WHEN occurrences > 16000 THEN lid ELSE NULL END) AS REAL) * 100 / COUNT(lid) FROM langs_words	language_corpus
SELECT page FROM pages WHERE words = ( SELECT MAX(words) FROM pages )	language_corpus
SELECT CAST(COUNT(CASE WHEN occurrences < 80 THEN lid ELSE NULL END) AS REAL) * 100 / COUNT(lid) FROM biwords	language_corpus
SELECT pages FROM langs WHERE lang = 'ca'	language_corpus
SELECT title, revision FROM pages WHERE lid = 1 LIMIT 3	language_corpus
SELECT T2.lang FROM biwords AS T1 INNER JOIN langs AS T2 ON T1.lid = T2.lid WHERE T1.w1st = 1 AND T1.w2nd = 616	language_corpus
SELECT T1.occurrences FROM langs_words AS T1 INNER JOIN words AS T2 ON T1.wid = T2.wid WHERE T2.word = 'nombre'	language_corpus
SELECT word FROM words WHERE wid = 8968	language_corpus
SELECT T2.word FROM langs_words AS T1 INNER JOIN words AS T2 ON T1.wid = T2.wid WHERE T1.occurrences = ( SELECT MAX(occurrences) FROM langs_words )	language_corpus
SELECT T2.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'votives' AND T2.pid = 44	language_corpus
SELECT SUM(T1.occurrences) FROM pages_words AS T1 INNER JOIN biwords AS T2 ON T2.w2nd = T1.wid WHERE T2.w2nd = 109 AND T2.w1st = 1 AND T1.pid = 16	language_corpus
SELECT CAST(COUNT(CASE WHEN T2.occurrences < 180 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.lid) FROM langs AS T1 INNER JOIN langs_words AS T2 ON T1.lid = T2.lid WHERE T1.lang = 'ca'	language_corpus
SELECT CAST(COUNT(CASE WHEN T2.words > 10000 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.page) FROM langs AS T1 INNER JOIN pages AS T2 ON T1.lid = T2.lid WHERE T1.lang = 'ca'	language_corpus
SELECT occurrences FROM words WHERE word = 'desena'	language_corpus
SELECT COUNT(w1st) AS countwords FROM biwords WHERE occurrences > 10	language_corpus
SELECT pages FROM langs	language_corpus
SELECT COUNT(wid) FROM langs_words WHERE occurrences BETWEEN '2000' AND '5000'	language_corpus
SELECT title FROM pages WHERE revision = 106601	language_corpus
SELECT title FROM pages WHERE revision = 28040864	language_corpus
SELECT SUM(occurrences) FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'barcelona' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'precolombina' )	language_corpus
SELECT T1.locale FROM langs AS T1 INNER JOIN pages AS T2 ON T1.lid = T2.lid WHERE T2.title = 'Anys 90'	language_corpus
SELECT T1.word FROM words AS T1 INNER JOIN langs_words AS T2 ON T1.wid = T2.wid WHERE T2.occurrences = 71303	language_corpus
SELECT T1.locale FROM langs AS T1 INNER JOIN pages AS T2 ON T1.lid = T2.lid WHERE T2.title = 'Abril'	language_corpus
SELECT words FROM langs WHERE lid = ( SELECT lid FROM biwords WHERE w1st = 100 AND w2nd = 317 )	language_corpus
SELECT COUNT(T1.pages) FROM langs AS T1 INNER JOIN langs_words AS T2 ON T1.lid = T2.lid WHERE T2.occurrences = 2593	language_corpus
SELECT DISTINCT T1.title FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T2.wid < 20	language_corpus
SELECT COUNT(T2.wid) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.words = 3	language_corpus
SELECT COUNT(T2.wid), T1.lid FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T2.occurrences = 8	language_corpus
SELECT CAST(SUM(T1.words) AS REAL) * 100 / SUM(T2.occurrences) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.revision < 106680	language_corpus
SELECT T1.pages FROM langs AS T1 INNER JOIN langs_words AS T2 ON T1.lid = T2.lid WHERE T2.occurrences > 3000 GROUP BY T1.pages	language_corpus
SELECT T1.word, T3.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T2.w1st = 20 AND T2.w2nd = 50	language_corpus
SELECT pages FROM langs WHERE lang = 'ca'	language_corpus
SELECT title FROM pages WHERE lid = 1 AND words > 4000	language_corpus
SELECT words FROM pages WHERE title = 'Asclepi'	language_corpus
SELECT CASE WHEN ( SELECT words FROM pages WHERE title = 'Asclepi' ) > ( SELECT words FROM pages WHERE title = 'Afluent' ) THEN 'Asclepi' ELSE 'Afluent' END	language_corpus
SELECT occurrences FROM words WHERE word = 'nombre'	language_corpus
SELECT word FROM words WHERE occurrences > 200000	language_corpus
SELECT T2.locale FROM pages AS T1 INNER JOIN langs AS T2 ON T1.lid = T2.lid WHERE T1.title = 'Asclepi'	language_corpus
SELECT T2.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T3.title = 'Àbac' AND T1.word = 'grec'	language_corpus
SELECT T3.title FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' AND T2.occurrences > 20	language_corpus
SELECT SUM(T3.words) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' AND T2.occurrences = 52	language_corpus
SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' )	language_corpus
SELECT CASE WHEN ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) ) > ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'grec' ) ) THEN 'àbac-xinès' ELSE 'àbac-grec' END AS CALUS FROM words LIMIT 1	language_corpus
SELECT occurrences - ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) ) AS CALUS FROM words WHERE word = 'àbac'	language_corpus
SELECT T1.word AS W1, T3.word AS W2 FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.word = 'àbac'	language_corpus
SELECT COUNT(T2.w1st) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.word = 'àbac'	language_corpus
SELECT COUNT(T1.pages) FROM langs AS T1 INNER JOIN biwords AS T2 ON T1.lid = T2.lid WHERE T2.w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND T2.w2nd = ( SELECT wid FROM words WHERE word = 'xinès' )	language_corpus
SELECT CAST((SUM(CASE WHEN T3.title = 'Àbac' THEN T2.occurrences END) - SUM(CASE WHEN T3.title = 'Astronomia' THEN T2.occurrences END)) AS REAL) * 100 / SUM(CASE WHEN T3.title = 'Astronomia' THEN T2.occurrences END) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec'	language_corpus
SELECT pages FROM langs WHERE lang = 'ca'	language_corpus
SELECT wid FROM langs_words WHERE occurrences = ( SELECT MAX(occurrences) FROM langs_words )	language_corpus
SELECT w2nd FROM biwords WHERE occurrences = ( SELECT MAX(occurrences) FROM biwords )	language_corpus
SELECT occurrences FROM words WHERE word = 'panajot'	language_corpus
SELECT word FROM words WHERE occurrences = 340691	language_corpus
SELECT wid FROM words WHERE word = 'periodograma'	language_corpus
SELECT T1.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w2nd WHERE T2.occurrences = 116430	language_corpus
SELECT COUNT(T1.wid) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.word = 'riu'	language_corpus
SELECT T2.wid FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.title = 'Agricultura' ORDER BY T2.occurrences DESC LIMIT 1	language_corpus
SELECT SUM(T2.occurrences) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.title = 'Astre' AND T2.wid = 2823	language_corpus
SELECT title FROM pages WHERE pid = ( SELECT pid FROM pages_words WHERE wid = 174 ORDER BY occurrences DESC LIMIT 1 )	language_corpus
SELECT COUNT(T2.occurrences) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'heròdot'	language_corpus
SELECT pid FROM pages_words WHERE pid = ( SELECT pid FROM pages WHERE revision = 28278070 ) ORDER BY occurrences DESC LIMIT 1	language_corpus
SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'que' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'gregorio' )	language_corpus
SELECT COUNT(w1st) FROM biwords WHERE w2nd = ( SELECT wid FROM words WHERE word = 'base' )	language_corpus
SELECT T2.occurrences FROM words AS T1 INNER JOIN langs_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'exemple' AND T2.lid = 1	language_corpus
SELECT T1.word FROM words AS T1 INNER JOIN langs_words AS T2 ON T1.wid = T2.wid WHERE T2.occurrences = 274499 AND T2.lid = 1	language_corpus
SELECT CAST(occurrences AS REAL) / ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'a' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'decimal' ) ) FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'a' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'base' )	language_corpus
SELECT CAST(SUM(CASE WHEN T3.title = 'Art' THEN T2.occurrences ELSE 0 END) AS REAL) * 100 / SUM(T2.occurrences) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec'	language_corpus
SELECT COUNT(lid) FROM pages WHERE lid = 1 AND words > 4000	language_corpus
SELECT title FROM pages WHERE lid = 1 AND words = 10 LIMIT 10	language_corpus
SELECT word FROM words WHERE occurrences = ( SELECT MAX(occurrences) FROM words )	language_corpus
SELECT title FROM pages WHERE lid = 1 ORDER BY words DESC LIMIT 3	language_corpus
SELECT revision FROM pages WHERE lid = 1 AND title = 'Arqueologia'	language_corpus
SELECT COUNT(lid) FROM pages WHERE lid = 1 AND words > 300 AND revision > 28330000	language_corpus
SELECT T2.pid FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'nombre'	language_corpus
SELECT COUNT(T2.pid) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'nombre' AND T2.occurrences > 5	language_corpus
SELECT COUNT(T2.w1st) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w2nd WHERE T1.word = 'grec'	language_corpus
SELECT T3.title FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' AND T2.occurrences = 52	language_corpus
SELECT COUNT(T2.w2nd) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st WHERE T1.word = 'àbac' AND T2.occurrences > 10	language_corpus
SELECT CAST(SUM(T2.occurrences) AS REAL) / COUNT(T1.wid) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T1.word = 'grec'	language_corpus
SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1'	airline
SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND ORIGIN = 'JFK'	airline
SELECT DEST FROM Airlines WHERE FL_DATE = '2018/8/1' AND CANCELLED = 1 GROUP BY DEST	airline
SELECT FL_DATE FROM Airlines WHERE CANCELLATION_CODE = 'A' GROUP BY FL_DATE	airline
SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/1' AND T2.DEP_DELAY > 0 GROUP BY T1.Description	airline
SELECT COUNT(T1.Code) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/1' AND T1.Description = 'New York, NY: John F. Kennedy International'	airline
SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/1' ORDER BY T2.DEP_DELAY DESC LIMIT 1	airline
SELECT SUM(CASE WHEN T2.ARR_DELAY < 0 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'New York, NY: John F. Kennedy International'	airline
SELECT T2.DEP_TIME FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/1' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.DEP_TIME IS NOT NULL ORDER BY T2.DEP_TIME ASC LIMIT 1	airline
SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'	airline
SELECT T2.OP_CARRIER_FL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' AND T1.Description = 'New York, NY: John F. Kennedy International' AND T2.FL_DATE = '2018/8/1'	airline
SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'	airline
SELECT T1.OP_CARRIER_FL_NUM FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA' ORDER BY T1.DEP_TIME DESC LIMIT 1	airline
SELECT SUM(CASE WHEN T2.DEST = 'JFK' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'	airline
SELECT SUM(CASE WHEN T2.CANCELLED = 1 THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA'	airline
SELECT CASE WHEN COUNT(CASE WHEN T3.Description = 'American Airlines Inc.: AA' THEN 1 ELSE NULL END) > COUNT(CASE WHEN T3.Description = 'Endeavor Air Inc.: 9E' THEN 1 ELSE NULL END) THEN 'American Airlines Inc.: AA' ELSE 'Endeavor Air Inc.: 9E' END AS RESULT FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1'	airline
SELECT AVG(T1.DEP_DELAY) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T1.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'	airline
SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T3.Description = 'American Airlines Inc.: AA'	airline
SELECT COUNT(Code) FROM `Air Carriers`	airline
SELECT SUM(CASE WHEN T2.FL_DATE = '2018/8/27' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Los Angeles, CA: Los Angeles International'	airline
SELECT SUM(CASE WHEN T1.Description LIKE '%Oakland%' THEN 1 ELSE 0 END) AS count FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/7'	airline
SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/2' AND T2.Description = 'Alaska Airlines Inc.: AS' AND T1.DEP_DELAY > 0	airline
SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/12' AND T2.DEST = 'MIA' AND T2.ARR_DELAY < 0	airline
SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLATION_CODE = 'A' AND T2.Description = 'American Airlines Inc.: AA' AND T1.CANCELLED = 1	airline
SELECT SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS count FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/31' AND T2.Description = 'Endeavor Air Inc.: 9E'	airline
SELECT COUNT(T2.Code) FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/7' AND T2.Description = 'Spirit Air Lines: NK'	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N702SK' GROUP BY T2.Description	airline
SELECT T1.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/15' ORDER BY T2.DEST DESC LIMIT 1	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.FL_DATE = '2018/8/1' AND T1.ORIGIN = 'ATL' AND T1.DEST = 'PHL' AND T1.CRS_DEP_TIME = '2040' GROUP BY T2.Description	airline
SELECT COUNT(T1.Code) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE = '2018/8/15' AND T1.Description = 'Lake Charles, LA: Lake Charles Regional'	airline
SELECT COUNT(FL_DATE) FROM Airlines WHERE FL_DATE LIKE '2018/8%' AND ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'San Diego, CA: San Diego International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Los Angeles, CA: Los Angeles International' )	airline
SELECT CAST(SUM(CASE WHEN T2.CANCELLATION_CODE = 'C' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE = '2018/8/15' AND T2.CANCELLATION_CODE IS NOT NULL AND T1.Description = 'Los Angeles, CA: Los Angeles International'	airline
SELECT CAST(SUM(CASE WHEN T1.ACTUAL_ELAPSED_TIME < T1.CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T2.Code = T1.DEST WHERE T2.Description LIKE '%Pittsburgh%' AND T1.CRS_ELAPSED_TIME IS NOT NULL AND T1.ACTUAL_ELAPSED_TIME IS NOT NULL	airline
SELECT Description FROM `Air Carriers` WHERE Code = 19049	airline
SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND DEP_DELAY <= 0	airline
SELECT Code FROM Airports WHERE Description LIKE '%Ankara, Turkey%'	airline
SELECT WEATHER_DELAY FROM Airlines WHERE ORIGIN_AIRPORT_ID = 12264 ORDER BY WEATHER_DELAY DESC LIMIT 1	airline
SELECT Code FROM Airports WHERE Description = 'Anita Bay, AK: Anita Bay Airport'	airline
SELECT ORIGIN_AIRPORT_ID FROM Airlines ORDER BY LATE_AIRCRAFT_DELAY DESC LIMIT 1	airline
SELECT COUNT(FL_DATE) FROM Airlines WHERE ORIGIN = ( SELECT T2.ORIGIN FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T1.Description = 'Chicago, IL: Chicago O''Hare International' ) AND DEST = ( SELECT T4.DEST FROM Airports AS T3 INNER JOIN Airlines AS T4 ON T3.Code = T4.DEST WHERE T3.Description = 'Atlanta, GA: Hartsfield-Jackson Atlanta International' )	airline
SELECT COUNT(T3.TAIL_NUM) FROM ( SELECT T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Southwest Airlines Co.: WN' GROUP BY T1.TAIL_NUM ) T3	airline
SELECT T2.FL_DATE FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International' AND T2.ORIGIN = 'DFW' AND T2.CANCELLED = 1 AND T2.CANCELLATION_CODE = 'A' GROUP BY T2.FL_DATE ORDER BY COUNT(T2.FL_DATE) DESC LIMIT 1	airline
SELECT T2.TAIL_NUM FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Bakersfield, CA: Meadows Field' AND T2.DEST = 'BFL' AND T2.ARR_DELAY <= 0 GROUP BY T2.TAIL_NUM	airline
SELECT T2.OP_CARRIER_AIRLINE_ID FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST WHERE T1.Description = 'Boston, MA: Logan International' AND T2.DEST = 'BOS' ORDER BY T2.SECURITY_DELAY DESC LIMIT 1	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code GROUP BY T2.Description ORDER BY T1.TAIL_NUM DESC LIMIT 5	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.TAIL_NUM = 'N202NN' GROUP BY T2.Description	airline
SELECT T3.Description FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.DEST INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T1.Description = 'Chicago, IL: Chicago Midway International' AND T2.DEST = 'MDW' GROUP BY T3.Description ORDER BY COUNT(T3.Description) DESC LIMIT 1	airline
SELECT T2.OP_CARRIER_AIRLINE_ID FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Compass Airlines: CP' AND T2.ORIGIN = 'LAX' AND T2.DEST = 'ABQ' GROUP BY T2.OP_CARRIER_AIRLINE_ID ORDER BY COUNT(T2.OP_CARRIER_AIRLINE_ID) DESC LIMIT 1	airline
SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1	airline
SELECT T1.OP_CARRIER_AIRLINE_ID FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ACTUAL_ELAPSED_TIME IS NOT NULL AND T1.CRS_ELAPSED_TIME IS NOT NULL ORDER BY T1.ACTUAL_ELAPSED_TIME - T1.CRS_ELAPSED_TIME ASC LIMIT 1	airline
SELECT T1.TAIL_NUM, SUM(CAST(T1.LATE_AIRCRAFT_DELAY AS REAL) / 60) AS delay FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.FL_DATE LIKE '2018/8/%' AND T2.Description = 'Delta Air Lines Inc.: DL' ORDER BY delay DESC LIMIT 1	airline
SELECT Code, Description FROM Airports LIMIT 3	airline
SELECT Code FROM `Air Carriers` WHERE Description LIKE 'Mississippi Valley Airlines%'	airline
SELECT CRS_DEP_TIME, DEP_TIME FROM Airlines WHERE ORIGIN = 'PHL' AND DEST = 'MDT' AND TAIL_NUM = 'N627AE' AND FL_DATE = '2018/8/13'	airline
SELECT COUNT(*) FROM Airlines WHERE FL_DATE = '2018/8/1' AND ORIGIN = 'ABE'	airline
SELECT DEST FROM Airlines WHERE ORIGIN = 'ABY' GROUP BY DEST	airline
SELECT COUNT(*) FROM Airlines WHERE DEST = 'SNA' AND ORIGIN = 'DFW' AND DEP_DELAY = 0	airline
SELECT COUNT(*) FROM Airlines AS T1 INNER JOIN Airports AS T2 ON T1.ORIGIN = T2.Code WHERE T1.ORIGIN = 'CLT' AND T1.DEST = 'AUS' AND T2.Description = 'Charlotte, NC: Charlotte Douglas International' AND T1.CANCELLATION_CODE = 'A'	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.CANCELLED DESC LIMIT 1	airline
SELECT T1.DEP_TIME FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code INNER JOIN Airports AS T3 ON T1.DEST = T3.Code WHERE T1.FL_DATE = '2018/8/20' AND T1.TAIL_NUM = 'N903JB' AND T2.Description LIKE '%JetBlue Airways%' AND T3.Description LIKE '%Fort Lauderdale-Hollywood%'	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.ORIGIN = 'ACY' AND T1.DEST = 'FLL' GROUP BY T2.Description	airline
SELECT Description FROM Airports WHERE Code = 'A11'	airline
SELECT COUNT(*) AS num FROM Airlines WHERE Origin = 'OKC'	airline
SELECT COUNT(*) FROM Airports WHERE Code LIKE 'C%'	airline
SELECT DEST FROM Airlines WHERE OP_CARRIER_FL_NUM = 1596	airline
SELECT Description FROM Airports WHERE Code LIKE '%3'	airline
SELECT Code FROM Airports WHERE Description = 'Driftwood Bay, AK: Driftwood Bay Airport'	airline
SELECT COUNT(*) FROM Airlines WHERE CANCELLED = 1	airline
SELECT TAIL_NUM FROM Airlines WHERE FL_DATE = '2018/8/17' GROUP BY TAIL_NUM	airline
SELECT ORIGIN FROM Airlines ORDER BY ACTUAL_ELAPSED_TIME ASC LIMIT 1	airline
SELECT T1.FL_DATE, T1.TAIL_NUM FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T2.Description = 'Ross Aviation Inc.: GWE'	airline
SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1	airline
SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%JetBlue Airways: B6%' AND T2.ARR_DELAY_NEW = 0	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'MIA'	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.CANCELLED = 1 GROUP BY T1.Description	airline
SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM'	airline
SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Asap Air Inc.: ASP' ORDER BY T2.DEP_DELAY DESC LIMIT 1	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ACTUAL_ELAPSED_TIME DESC LIMIT 1	airline
SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southeast Alaska Airlines: WEB'	airline
SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Spirit Air Lines: NK' AND T2.CANCELLED = 0 AND T2.FL_DATE BETWEEN '2018/8/10' AND '2018/8/20'	airline
SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Horizon Air%' AND T2.FL_DATE = '2018/8/2'	airline
SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_TIME <= 1000 AND T1.Description = 'Iscargo Hf: ICQ'	airline
SELECT T2.FL_DATE FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ACTUAL_ELAPSED_TIME < 100 AND T1.Description = 'Profit Airlines Inc.: XBH'	airline
SELECT COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%Republic Airline%' AND T2.DEP_DELAY > 30	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.FL_DATE = '2018/8/25' GROUP BY T1.Description	airline
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T2.Code = T1.OP_CARRIER_AIRLINE_ID WHERE T1.TAIL_NUM = 'N922US' AND T1.ORIGIN = 'PHX' GROUP BY T2.Description	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.ARR_DELAY < 0 AND T2.DEP_DELAY < 0 GROUP BY T1.Description	airline
SELECT T2.TAIL_NUM FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Southwest Airlines Co.: WN' AND T2.ACTUAL_ELAPSED_TIME < ( SELECT AVG(ACTUAL_ELAPSED_TIME) * 0.8 FROM Airlines )	airline
SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEST = 'PHX' AND T2.ARR_TIME < ( SELECT AVG(ARR_TIME) * 0.4 FROM Airlines ) GROUP BY T1.Description	airline
SELECT CAST(SUM(CASE WHEN T2.DEP_DELAY < 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description LIKE '%American Airlines%'	airline
SELECT COUNT(*) FROM book WHERE publisher_id = 1929 AND num_pages > 500	books
SELECT publication_date FROM book ORDER BY num_pages DESC LIMIT 1	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'The Illuminati'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Thomas Nelson'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id GROUP BY T2.publisher_name ORDER BY COUNT(T1.book_id) DESC LIMIT 1	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Thomas Nelson' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Thomas Nelson' AND T1.num_pages > 300	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id ORDER BY T1.num_pages DESC LIMIT 1	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'English'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'British English'	books
SELECT MIN(T2.price) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'The Little House'	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Lucas' AND T4.last_name = 'Wyldbore'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Lucas' AND T4.last_name = 'Wyldbore' AND T1.num_pages > 300	books
SELECT SUM(T1.price) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Lucas' AND T3.last_name = 'Wyldbore'	books
SELECT SUM(T1.price) / COUNT(*) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Lucas' AND T3.last_name = 'Wyldbore'	books
SELECT CAST(SUM(CASE WHEN T1.price > 13 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Lucas' AND T3.last_name = 'Wyldbore'	books
SELECT city FROM address WHERE address_id = 547	books
SELECT COUNT(*) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'Cordy' AND T1.last_name = 'Dumbarton'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'Japanese' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id GROUP BY T2.publisher_name ORDER BY COUNT(T2.publisher_id) DESC LIMIT 1	books
SELECT COUNT(T1.book_id) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Kensington'	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.book_id = 1405	books
SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ORDER BY COUNT(*) DESC LIMIT 1	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id GROUP BY T1.title ORDER BY COUNT(T1.title) DESC LIMIT 1	books
SELECT COUNT(T1.title) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'David Foster Wallace'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'O Xará'	books
SELECT T4.country_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id INNER JOIN country AS T4 ON T4.country_id = T3.country_id WHERE T1.first_name = 'Malina' AND T1.last_name = 'Johnson' AND T2.status_id = 2	books
SELECT COUNT(*) FROM country AS T1 INNER JOIN address AS T2 ON T1.country_id = T2.country_id WHERE T1.country_name = 'Ukraine'	books
SELECT T1.country_name FROM country AS T1 INNER JOIN address AS T2 ON T1.country_id = T2.country_id WHERE T2.city = 'Žirovnica'	books
SELECT CAST(SUM(CASE WHEN T1.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM shipping_method AS T1 INNER JOIN cust_order AS T2 ON T1.method_id = T2.shipping_method_id WHERE T2.order_date LIKE '2022-11-10%'	books
SELECT AVG(T1.num_pages) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'David Coward'	books
SELECT method_name FROM shipping_method ORDER BY cost ASC LIMIT 1	books
SELECT title FROM book WHERE STRFTIME('%Y', publication_date) = '1900' ORDER BY publication_date LIMIT 1	books
SELECT first_name, last_name FROM customer WHERE email = 'aalleburtonkc@yellowbook.com'	books
SELECT COUNT(*) FROM country AS T1 INNER JOIN address AS T2 ON T1.country_id = T2.country_id INNER JOIN cust_order AS T3 ON T3.dest_address_id = T2.address_id WHERE T1.country_name = 'Iran' AND STRFTIME('%Y', T3.order_date) = '2022'	books
SELECT COUNT(*) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T1.first_name = 'Daisey' AND T1.last_name = 'Lamball' AND T3.method_name = 'International'	books
SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ORDER BY COUNT(*) DESC LIMIT 1	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.status_value = 'Returned' AND T4.first_name = 'Antonia' AND T4.last_name = 'Poltun'	books
SELECT T2.method_name FROM cust_order AS T1 INNER JOIN shipping_method AS T2 ON T1.shipping_method_id = T2.method_id GROUP BY T2.method_name ORDER BY COUNT(T2.method_id) DESC LIMIT 1	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Delivered' AND STRFTIME('%Y', T2.status_date) = '2021'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'J.K. Rowling' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT COUNT(*) FROM author AS T1 INNER JOIN book_author AS T2 ON T1.author_id = T2.author_id WHERE T1.author_name = 'A.R. Braunmuller'	books
SELECT T4.publisher_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T3.author_name = 'Agatha Christie' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Danielle Steel'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T3.author_name = 'William Shakespeare' AND T4.publisher_name = 'Penguin Classics'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id GROUP BY T2.publisher_name ORDER BY COUNT(T2.publisher_id) DESC LIMIT 1	books
SELECT SUM(T3.cost) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T1.first_name = 'Page' AND T1.last_name = 'Holsey' AND STRFTIME('%Y', T2.order_date) = '2022'	books
SELECT publisher_name FROM publisher WHERE publisher_id = 22	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Al Gore' AND T1.num_pages < 400	books
SELECT T3.author_name, T4.publisher_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T1.publication_date = '1997-07-10'	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.isbn13 = 23755004321	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id ORDER BY T2.price DESC LIMIT 1	books
SELECT SUM(T1.price) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Lucas' AND T3.last_name = 'Wyldbore'	books
SELECT T1.isbn13 FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'Spanish'	books
SELECT COUNT(*) FROM publisher AS T1 INNER JOIN book AS T2 ON T1.publisher_id = T2.publisher_id INNER JOIN order_line AS T3 ON T3.book_id = T2.book_id WHERE T1.publisher_name = 'Berkley' AND T3.price < 1	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Zia' AND T4.last_name = 'Roizin'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id ORDER BY T1.num_pages DESC LIMIT 1	books
SELECT T4.email FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.title = 'Switch on the Night'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T4.publisher_name = 'Abrams'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'The Illuminati'	books
SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', T1.publication_date) = '1992' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Abraham Lincoln'	books
SELECT T1.title, T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE STRFTIME('%Y', T1.publication_date) = '2004' AND T1.num_pages * 100 > ( SELECT AVG(num_pages) FROM book ) * 70	books
SELECT email FROM customer WHERE first_name = 'Moss' AND last_name = 'Zarb'	books
SELECT street_name FROM address WHERE city = 'Dallas'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Orson Scott Card' AND STRFTIME('%Y', T1.publication_date) = '2001'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Orson Scott Card'	books
SELECT T3.author_name, T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.num_pages > 3000	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.title = 'The Prophet'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Ace Hardcover'	books
SELECT T4.publisher_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T3.author_name = 'Barry Eisler'	books
SELECT COUNT(T2.book_id) FROM book_language AS T1 INNER JOIN book AS T2 ON T1.language_id = T2.language_id WHERE T1.language_name = 'Japanese'	books
SELECT SUM(T1.price) FROM order_line AS T1 INNER JOIN book AS T2 ON T1.book_id = T2.book_id WHERE T2.title = 'The Prophet'	books
SELECT COUNT(*) FROM cust_order AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'Daisey' AND T2.last_name = 'Lamball' AND STRFTIME('%Y', T1.order_date) = '2021'	books
SELECT COUNT(*) FROM customer_address AS T1 INNER JOIN address AS T2 ON T2.address_id = T1.address_id INNER JOIN country AS T3 ON T3.country_id = T2.country_id WHERE T3.country_name = 'Australia'	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Delivered' AND STRFTIME('%Y', T2.status_date) = '2019'	books
SELECT T4.first_name, T4.last_name FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.title = 'Fantasmas'	books
SELECT CAST(SUM(CASE WHEN T2.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM cust_order AS T1 INNER JOIN shipping_method AS T2 ON T1.shipping_method_id = T2.method_id WHERE STRFTIME('%Y', T1.order_date) = '2020'	books
SELECT author_name FROM author WHERE author_name LIKE 'George%'	books
SELECT strftime('%Y', order_date) FROM cust_order GROUP BY strftime('%Y', order_date) ORDER BY COUNT(strftime('%Y', order_date)) DESC LIMIT 1	books
SELECT AVG(price) FROM order_line	books
SELECT title FROM book WHERE STRFTIME('%Y', publication_date) = '1995'	books
SELECT SUBSTR(email, INSTR(email, '@') + 1, LENGTH(email) - INSTR(email, '@')) AS ym FROM customer GROUP BY SUBSTR(email, INSTR(email, '@') + 1, LENGTH(email) - INSTR(email, '@')) ORDER BY COUNT(*) DESC LIMIT 1	books
SELECT COUNT(*) FROM publisher WHERE publisher_name LIKE '%book%'	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id GROUP BY T2.language_name ORDER BY COUNT(T2.language_name) ASC LIMIT 1	books
SELECT T3.order_date FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Adrian' AND T4.last_name = 'Kunzelmann'	books
SELECT COUNT(T2.country_id) FROM address AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE T2.country_name = 'Philippines'	books
SELECT T1.author_name FROM author AS T1 INNER JOIN book_author AS T2 ON T1.author_id = T2.author_id GROUP BY T1.author_name ORDER BY COUNT(T2.author_id) DESC LIMIT 1	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Harper Collins'	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Returned' AND STRFTIME('%Y', T2.status_date) = '2020'	books
SELECT T2.method_name FROM cust_order AS T1 INNER JOIN shipping_method AS T2 ON T1.shipping_method_id = T2.method_id GROUP BY T2.method_name ORDER BY COUNT(T2.method_id) ASC LIMIT 1, 1	books
SELECT COUNT(*) FROM customer_address AS T1 INNER JOIN address_status AS T2 ON T1.status_id = T2.status_id WHERE T2.address_status = 'Inactive'	books
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SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ORDER BY COUNT(T2.customer_id) DESC LIMIT 1	books
SELECT CAST(SUM(CASE WHEN T3.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM cust_order AS T1 INNER JOIN order_line AS T2 ON T1.order_id = T2.order_id INNER JOIN shipping_method AS T3 ON T3.method_id = T1.shipping_method_id	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.num_pages < ( SELECT AVG(num_pages) FROM book )	books
SELECT MIN(price) FROM order_line WHERE price <> 0	books
SELECT COUNT(address_id) FROM address WHERE city = 'Villeneuve-la-Garenne'	books
SELECT COUNT(*) FROM author WHERE author_name LIKE 'Adam%'	books
SELECT COUNT(*) FROM customer WHERE email LIKE '%@yahoo.com'	books
SELECT DISTINCT T2.city FROM country AS T1 INNER JOIN address AS T2 ON T1.country_id = T2.country_id WHERE T1.country_name = 'United States of America'	books
SELECT COUNT(*) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T1.first_name = 'Marcelia' AND T1.last_name = 'Goering' AND STRFTIME('%Y', T2.order_date) = '2021' AND T3.method_name = 'Priority'	books
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SELECT COUNT(*) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'Anleitung zum Zickigsein'	books
SELECT MAX(T2.price) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'Bite Me If You Can (Argeneau #6)'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id GROUP BY T1.publication_date ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT T2.title FROM book_language AS T1 INNER JOIN book AS T2 ON T2.language_id = T1.language_id INNER JOIN publisher AS T3 ON T3.publisher_id = T2.publisher_id WHERE T1.language_name = 'Spanish' AND T3.publisher_name = 'Alfaguara' GROUP BY T2.title	books
SELECT COUNT(T1.publication_date) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN order_line AS T4 ON T4.book_id = T1.book_id WHERE T3.author_name = 'Stephen King' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id ORDER BY T1.publication_date ASC LIMIT 2	books
SELECT DISTINCT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'The Secret Garden'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id INNER JOIN book_author AS T3 ON T3.book_id = T1.book_id INNER JOIN author AS T4 ON T4.author_id = T3.author_id WHERE T2.publisher_name = 'Scholastic' AND T4.author_name = 'J.K. Rowling'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id GROUP BY T2.publisher_name HAVING COUNT(T2.publisher_name) >= 30	books
SELECT street_number FROM address	books
SELECT street_number, street_name, city, country_id FROM address WHERE city = 'Lazaro Cardenas'	books
SELECT isbn13 FROM book WHERE num_pages < 140 AND num_pages > 135	books
SELECT title FROM book ORDER BY publication_date ASC LIMIT 6	books
SELECT COUNT(*) FROM cust_order WHERE order_date LIKE '2020-12%'	books
SELECT first_name, last_name FROM customer WHERE last_name LIKE 'K%'	books
SELECT T1.city FROM address AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE T2.country_name = 'Costa Rica'	books
SELECT DISTINCT T1.street_name FROM address AS T1 INNER JOIN customer_address AS T2 ON T1.address_id = T2.address_id INNER JOIN address_status AS T3 ON T3.status_id = T2.status_id WHERE T3.address_status = 'Inactive'	books
SELECT T3.first_name, T3.last_name FROM address AS T1 INNER JOIN customer_address AS T2 ON T1.address_id = T2.address_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T1.city = 'Baiyin'	books
SELECT T1.email FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T3.method_name = 'Priority'	books
SELECT T1.order_date FROM cust_order AS T1 INNER JOIN address AS T2 ON T1.dest_address_id = T2.address_id WHERE T2.street_number = 460	books
SELECT T2.order_id FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Cancelled'	books
SELECT DISTINCT T1.status_value FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id WHERE T3.order_date LIKE '2022-04-10%'	books
SELECT MAX(T2.price) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'The Prophet'	books
SELECT T1.order_date FROM cust_order AS T1 INNER JOIN order_line AS T2 ON T1.order_id = T2.order_id WHERE T2.price = 16.54	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Peter H. Smith'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'HarperCollins Publishers' AND T1.num_pages < 300	books
SELECT COUNT(*) FROM book_language AS T1 INNER JOIN book AS T2 ON T1.language_id = T2.language_id WHERE T1.language_name = 'Japanese'	books
SELECT AVG(T1.num_pages) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Jennifer Crusie'	books
SELECT CAST(SUM(CASE WHEN T3.method_name = 'International' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T1.first_name = 'Kaleena'	books
SELECT T4.first_name, T4.last_name FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.title = 'The Sorrows of Young Werther'	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Ursola' AND T4.last_name = 'Purdy'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id ORDER BY T1.num_pages DESC LIMIT 1	books
SELECT COUNT(*) FROM author AS T1 INNER JOIN book_author AS T2 ON T1.author_id = T2.author_id WHERE T1.author_name = 'Akira Watanabe'	books
SELECT T3.street_number, T3.street_name, T3.city FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id INNER JOIN country AS T4 ON T4.country_id = T3.country_id WHERE T1.first_name = 'Ursola' AND T1.last_name = 'Purdy'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.title = 'The Mystery in the Rocky Mountains'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'Girls'' Night In'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT SUM(CASE WHEN method_name = 'Priority' THEN cost ELSE 0 END) - SUM(CASE WHEN method_name = 'Express' THEN cost ELSE 0 END) FROM shipping_method	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Cancelled' AND STRFTIME('%Y', T2.status_date) = '2022'	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'BBC Audiobooks'	books
SELECT COUNT(*) FROM book WHERE STRFTIME('%Y', publication_date) = '2017'	books
SELECT isbn13 FROM book WHERE title = 'The Mystery in the Rocky Mountains'	books
SELECT CAST(SUM(CASE WHEN T1.status_value = 'Returned' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE STRFTIME('%Y', T2.status_date) = '2022'	books
SELECT CAST(SUM(CASE WHEN T2.address_status = 'Inactive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM customer_address AS T1 INNER JOIN address_status AS T2 ON T2.status_id = T1.status_id	books
SELECT num_pages FROM book WHERE title = 'Seaward'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.title = 'First Things First'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Tom Clancy'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Hirohiko Araki' AND T1.publication_date = '2006-06-06'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'Hitchhiker''s Guide To The Galaxy: The Filming of the Douglas Adams classic'	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'ADV Manga'	books
SELECT DISTINCT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id WHERE T3.street_number = 55 AND T3.street_name = 'Dorton Pass' AND T3.city = 'Huangqiao'	books
SELECT T2.country_name FROM address AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE T1.street_number = 9 AND T1.street_name = 'Green Ridge Point' AND T1.city = 'Arendal'	books
SELECT T1.street_number, T1.street_name, T1.city FROM address AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE T2.country_name = 'Poland' LIMIT 10	books
SELECT T3.method_name FROM cust_order AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T1.shipping_method_id WHERE T2.first_name = 'Nicolette' AND T2.last_name = 'Sadler' AND T1.order_date = '2020-06-29 19:40:07'	books
SELECT T1.title FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'Arabic'	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'El plan infinito'	books
SELECT CAST(SUM(CASE WHEN T1.author_name = 'Hirohiko Araki' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM author AS T1 INNER JOIN book_author AS T2 ON T2.author_id = T1.author_id INNER JOIN book AS T3 ON T3.book_id = T2.book_id INNER JOIN publisher AS T4 ON T4.publisher_id = T3.publisher_id WHERE T4.publisher_name = 'VIZ Media'	books
SELECT AVG(T3.num_pages) FROM book_author AS T1 INNER JOIN author AS T2 ON T1.author_id = T2.author_id INNER JOIN book AS T3 ON T3.book_id = T1.book_id WHERE T2.author_name = 'Zilpha Keatley Snyder'	books
SELECT first_name, last_name FROM customer WHERE email = 'ckupis4@tamu.edu'	books
SELECT title FROM book ORDER BY num_pages DESC LIMIT 1	books
SELECT COUNT(*) FROM book_author AS T1 INNER JOIN author AS T2 ON T1.author_id = T2.author_id WHERE T2.author_name = 'A.J. Ayer'	books
SELECT T3.title FROM book_author AS T1 INNER JOIN author AS T2 ON T1.author_id = T2.author_id INNER JOIN book AS T3 ON T3.book_id = T1.book_id WHERE T2.author_name = 'A.J. Ayer'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.title = 'The Season: A Candid Look at Broadway'	books
SELECT CAST(SUM(CASE WHEN T1.language_name = 'English' THEN 1 ELSE 0 END) AS REAL) / COUNT(*) FROM book_language AS T1 INNER JOIN book AS T2 ON T1.language_id = T2.language_id INNER JOIN publisher AS T3 ON T3.publisher_id = T2.publisher_id WHERE T3.publisher_name = 'Carole Marsh Mysteries'	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Free Press' AND STRFTIME('%Y', T1.publication_date) BETWEEN '1990' AND '2000' ORDER BY T1.num_pages DESC LIMIT 1	books
SELECT T2.price FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'The Servant Leader' AND STRFTIME('%Y', T1.publication_date) = '2003'	books
SELECT T3.street_number, T3.street_name, T3.city FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id INNER JOIN address_status AS T4 ON T4.status_id = T2.status_id WHERE T1.first_name = 'Kandy'	books
SELECT COUNT(*) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Kandy' AND T3.last_name = 'Adamec'	books
SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Returned' AND STRFTIME('%Y', T2.status_date) = '2022'	books
SELECT T4.country_name FROM customer AS T1 INNER JOIN customer_address AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id INNER JOIN country AS T4 ON T4.country_id = T3.country_id WHERE T1.email = 'rturbitT2@geocities.jp'	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id GROUP BY T2.publisher_name ORDER BY COUNT(T2.publisher_id) DESC LIMIT 1	books
SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'A.J. Ayer' ORDER BY T1.publication_date ASC LIMIT 1	books
SELECT CAST(SUM(CASE WHEN T1.price > 10 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T3.first_name = 'Ruthanne' AND T3.last_name = 'Vatini'	books
SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'AK Press'	books
SELECT T3.first_name, T3.last_name FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id ORDER BY T1.price ASC LIMIT 1	books
SELECT T1.isbn13 FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.email = 'fsier3e@ihg.com'	books
SELECT DISTINCT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN order_line AS T4 ON T4.book_id = T1.book_id WHERE T4.price > 19	books
SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T1.isbn13 = 76092025986	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Birlinn' AND STRFTIME('%Y', T1.publication_date) = '2008' AND T1.num_pages BETWEEN 600 AND 700	books
SELECT T2.price FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.isbn13 = 9780763628321	books
SELECT T1.num_pages FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T2.order_id = 1167	books
SELECT DISTINCT T1.title FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T2.language_name = 'British English'	books
SELECT COUNT(*) FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Brava' AND STRFTIME('%Y', T1.publication_date) = '2006'	books
SELECT T1.isbn13, T2.price FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T2.book_id = 6503	books
SELECT T1.title FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T2.order_id = 931	books
SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'Zorro'	books
SELECT DISTINCT T3.email FROM order_line AS T1 INNER JOIN cust_order AS T2 ON T2.order_id = T1.order_id INNER JOIN customer AS T3 ON T3.customer_id = T2.customer_id WHERE T1.price BETWEEN 3 AND 5	books
SELECT T1.isbn13 FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T2.price = 7.5	books
SELECT T4.publisher_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id INNER JOIN publisher AS T4 ON T4.publisher_id = T1.publisher_id WHERE T3.author_name = 'Alan Lee' GROUP BY T4.publisher_name	books
SELECT SUM(T1.num_pages) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T4.first_name = 'Mick' AND T4.last_name = 'Sever'	books
SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id ORDER BY T1.publication_date DESC LIMIT 1	books
SELECT CAST(SUM(CASE WHEN T1.language_name = 'English' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM book_language AS T1 INNER JOIN book AS T2 ON T1.language_id = T2.language_id INNER JOIN publisher AS T3 ON T3.publisher_id = T2.publisher_id WHERE T3.publisher_name = 'Ace Book'	books
SELECT SUM(CASE WHEN T1.num_pages < 500 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.num_pages > 500 THEN 1 ELSE 0 END) AS dif FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T2.price < 1	books
SELECT DISTINCT T3.language_name, T2.title FROM order_line AS T1 INNER JOIN book AS T2 ON T1.book_id = T2.book_id INNER JOIN book_language AS T3 ON T3.language_id = T2.language_id WHERE T1.price * 100 < ( SELECT AVG(price) FROM order_line ) * 20	books
SELECT first_name, last_name FROM employee WHERE title = 'Sanitarian' AND supervisor = ( SELECT employee_id FROM employee WHERE first_name = 'Darlisha' AND last_name = 'Jacobs' )	food_inspection_2
SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE strftime('%Y-%m', T2.inspection_date) = '2010-05' AND T1.title = 'Sanitarian'	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE strftime('%Y', T2.inspection_date) = '2010' AND T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'	food_inspection_2
SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T1.inspection_date) = '2010' AND T2.facility_type = 'Restaurant'	food_inspection_2
SELECT DISTINCT T2.latitude, T2.longitude FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE T1.inspection_date = '2010-05-11'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T1.inspection_date) = '2010' AND T2.ward = 42	food_inspection_2
SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T3.dba_name = 'Burbank' AND T1.title = 'Sanitarian'	food_inspection_2
SELECT DISTINCT T2.dba_name FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE T1.results = 'Fail' AND strftime('%Y', T1.inspection_date) = '2010'	food_inspection_2
SELECT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T2.inspection_date = '2010-05-11' AND T3.dba_name = 'AMUNDSEN HIGH SCHOOL' AND T1.title = 'Sanitarian'	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Pass' AND T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'	food_inspection_2
SELECT T1.followup_to FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE T2.dba_name = 'Azha Restaurant Inc.' AND T1.results = 'Pass' AND T1.inspection_date = '2010-01-21'	food_inspection_2
SELECT COUNT(DISTINCT T2.license_no) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T1.inspection_date) = '2010' AND T2.risk_level = 3	food_inspection_2
SELECT CAST(SUM(CASE WHEN T2.inspection_date LIKE '2010%' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.salary > 70000 THEN 1 ELSE 0 END) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id	food_inspection_2
SELECT point_level FROM inspection_point WHERE Description = 'Refrigeration and metal stem thermometers provided and conspicuous '	food_inspection_2
SELECT T2.first_name, T2.last_name FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id = 48224	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.facility_type = 'Restaurant' AND T1.dba_name = 'All Style Buffet'	food_inspection_2
SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.aka_name = 'WING HUNG CHOP SUEY RESTAURANT'	food_inspection_2
SELECT COUNT(T2.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_date = '2015-05-08' AND T1.facility_type = 'Restaurant'	food_inspection_2
SELECT COUNT(T2.point_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspection_id = '1454071' AND T1.category = 'Food Maintenance'	food_inspection_2
SELECT COUNT(T3.point_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T2.inspection_date = '2015-05-08' AND T1.dba_name = 'ROYAL THAI CUISINE'	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.address = '3635 W DIVERSEY AVE ' AND T1.facility_type = 'Grocery Store'	food_inspection_2
SELECT T.first_name, T.last_name FROM ( SELECT T2.employee_id, T2.first_name, T2.last_name, COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id GROUP BY T2.employee_id, T2.first_name, T2.last_name ORDER BY COUNT(T1.inspection_id) DESC LIMIT 1 ) AS T	food_inspection_2
SELECT COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T2.first_name = 'Lisa' AND T2.last_name = 'Tillman' AND T1.results = 'Out of Business'	food_inspection_2
SELECT COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T2.address = '5000 N Wolcott Ave' AND T2.title = 'Sanitarian' AND strftime('%Y-%m', T1.inspection_date) = '2011-05'	food_inspection_2
SELECT T2.phone FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id = 634597 AND T2.title = 'Sanitarian'	food_inspection_2
SELECT T1.salary FROM employee AS T1 INNER JOIN ( SELECT T.employee_id, COUNT(T.inspection_id) FROM inspection AS T GROUP BY T.employee_id ORDER BY COUNT(T.inspection_id) DESC LIMIT 1 ) AS T2 ON T1.employee_id = T2.employee_id	food_inspection_2
SELECT CAST(COUNT(T2.inspection_id) AS REAL) / COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T1.facility_type = 'TAVERN'	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T2.results = 'Pass' THEN T2.inspection_id ELSE NULL END) AS REAL) * 100 / COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'POCKETS' AND T1.facility_type = 'Restaurant'	food_inspection_2
SELECT COUNT(employee_id) FROM employee WHERE zip = '60617'	food_inspection_2
SELECT DISTINCT dba_name FROM establishment WHERE address = '2903 W IRVING PARK RD '	food_inspection_2
SELECT first_name, last_name FROM employee ORDER BY salary ASC LIMIT 1	food_inspection_2
SELECT COUNT(license_no) FROM establishment WHERE risk_level = 2 AND dba_name = 'HOMEMADE PIZZA'	food_inspection_2
SELECT COUNT(inspection_id) FROM violation WHERE point_id = 3 AND fine = 500	food_inspection_2
SELECT COUNT(T1.employee_id) FROM employee AS T1 WHERE T1.supervisor = ( SELECT employee_id FROM employee WHERE first_name = 'Gregory' AND last_name = 'Cardenas' )	food_inspection_2
SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'RENALDI''S PIZZA'	food_inspection_2
SELECT T3.first_name, T3.last_name FROM ( SELECT T1.employee_id, COUNT(T1.inspection_id) FROM inspection AS T1 WHERE strftime('%Y-%m', T1.inspection_date) = '2016-03' GROUP BY T1.employee_id ORDER BY COUNT(T1.inspection_id) DESC LIMIT 1 ) AS T2 INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id	food_inspection_2
SELECT DISTINCT T2.dba_name FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T1.inspection_date) = '2012-05' AND T1.results = 'Pass w/ Conditions'	food_inspection_2
SELECT COUNT(DISTINCT T2.license_no) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'David' AND T1.last_name = 'Hodges' AND T1.employee_id = 153225 AND T2.inspection_type = 'Short Form Complaint' AND T2.results = 'Pass'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_date BETWEEN '2010-01-01' AND '2015-12-31' AND T1.ward = 42 AND T1.license_no IN ( SELECT license_no FROM ( SELECT license_no FROM inspection WHERE results = 'Fail' GROUP BY license_no HAVING COUNT(results) >= 5 ) )	food_inspection_2
SELECT T1.salary FROM employee AS T1 INNER JOIN ( SELECT employee_id, COUNT(inspection_id) FROM inspection GROUP BY employee_id ORDER BY COUNT(inspection_id) DESC LIMIT 1 ) AS T2 ON T1.employee_id = T2.employee_id	food_inspection_2
SELECT T.dba_name FROM ( SELECT T1.dba_name, SUM(T3.fine) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE strftime('%Y', T2.inspection_date) = '2014' GROUP BY T1.dba_name ORDER BY SUM(T3.fine) DESC LIMIT 1 ) AS T	food_inspection_2
SELECT T1.latitude, T1.longitude FROM establishment AS T1 INNER JOIN ( SELECT license_no FROM inspection WHERE results = 'Fail' GROUP BY license_no ORDER BY COUNT(results) DESC LIMIT 1 ) AS T2 ON T1.license_no = T2.license_no	food_inspection_2
SELECT T3.inspector_comment FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T2.inspection_date = '2010-01-25' AND T1.dba_name = 'TAQUERIA LA FIESTA'	food_inspection_2
SELECT SUM(T3.fine) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE strftime('%Y-%m', T2.inspection_date) = '2014-02' AND T1.dba_name = 'RON OF JAPAN INC'	food_inspection_2
SELECT DISTINCT T3.first_name, T3.last_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T1.dba_name = 'TAQUERIA LA PAZ'	food_inspection_2
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, SUM(T3.fine) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id GROUP BY T1.first_name, T1.last_name ORDER BY SUM(T3.fine) DESC LIMIT 1 ) t	food_inspection_2
SELECT CAST(COUNT(DISTINCT T2.inspection_id) AS REAL) / 5, T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.title = 'Sanitarian' ORDER BY T1.salary DESC LIMIT 5	food_inspection_2
SELECT T2.dba_name , CAST(SUM(CASE WHEN T1.results = 'Pass' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.inspection_id) AS percentagePassed , CAST(SUM(CASE WHEN T1.results = 'Fail' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no GROUP BY T2.dba_name ORDER BY COUNT(T1.license_no) DESC LIMIT 1	food_inspection_2
SELECT last_name FROM employee WHERE address = '7211 S Hermitage Ave' AND city = 'Chicago' AND state = 'IL'	food_inspection_2
SELECT T1.dba_name, T3.first_name, T3.last_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T2.inspection_date = '2010-05-05' AND T2.inspection_id = 44256	food_inspection_2
SELECT DISTINCT T1.address FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-03' AND T2.results = 'Pass' AND T1.facility_type = 'School'	food_inspection_2
SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-03-09' AND T2.inspection_type = 'Canvass'	food_inspection_2
SELECT DISTINCT T2.inspection_id FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'PIZZA RUSTICA, INC'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T2.results = 'Pass' AND T1.facility_type = 'Restaurant'	food_inspection_2
SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T4.category = 'Display of Inspection Report Summary'	food_inspection_2
SELECT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 60332	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = '1' AND T2.inspection_type = 'Complaint' AND T1.facility_type = 'Restaurant' AND T2.results = 'Fail'	food_inspection_2
SELECT DISTINCT T3.fine, T1.state, T1.city, T1.address FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T2.inspection_id = 48216	food_inspection_2
SELECT T2.inspection_id FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.fine = 500 AND T1.point_level = 'Critical' AND T2.inspector_comment = 'CDI ON 5-17-10'	food_inspection_2
SELECT T1.Description, T2.inspector_comment FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspection_id = 44247	food_inspection_2
SELECT T2.inspector_comment, T1.code FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspection_id = 54216 AND T2.point_id = 34	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T1.risk_level = 3 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.risk_level) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results = 'Fail'	food_inspection_2
SELECT SUM(CASE WHEN T3.fine = 100 THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.fine = 500 THEN 1 ELSE 0 END) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.salary BETWEEN 75000 AND 80000	food_inspection_2
SELECT COUNT(inspection_id) FROM inspection WHERE strftime('%Y-%m', inspection_date) = '2011-01'	food_inspection_2
SELECT COUNT(inspection_id) FROM inspection WHERE strftime('%Y', inspection_date) = '2014' AND results = 'Fail'	food_inspection_2
SELECT CAST(COUNT(CASE WHEN fine = 100 THEN inspection_id END) AS REAL) * 100 / COUNT(inspection_id) FROM violation	food_inspection_2
SELECT T2.point_id, T2.fine FROM inspection AS T1 INNER JOIN violation AS T2 ON T1.inspection_id = T2.inspection_id WHERE T1.inspection_date = '2010-08-07'	food_inspection_2
SELECT COUNT(T1.inspection_id) FROM violation AS T1 INNER JOIN inspection_point AS T2 ON T1.point_id = T2.point_id WHERE T2.category = 'Personnel'	food_inspection_2
SELECT DISTINCT T1.dba_name, T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.city = 'BURNHAM'	food_inspection_2
SELECT COUNT(CASE WHEN T2.category = 'Toxic Items' THEN T1.inspection_id END) AS Tox_nums , COUNT(CASE WHEN T2.category = 'No Smoking Regulations' THEN T1.inspection_id END) AS NosmoNums FROM violation AS T1 INNER JOIN inspection_point AS T2 ON T1.point_id = T2.point_id	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T2.inspection_date = '2012-11-20' AND T3.first_name = 'Sarah' AND T3.last_name = 'Lindsey'	food_inspection_2
SELECT DISTINCT T4.category, T3.fine FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T1.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T2.first_name = 'Lisa' AND T2.last_name = 'Tillman' AND strftime('%Y-%m', T1.inspection_date) = '2014-01'	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.category = 'Display of Inspection Report Summary'	food_inspection_2
SELECT T2.inspection_type, T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.facility_type = 'RIVERWALK CAFE'	food_inspection_2
SELECT T3.first_name, T3.last_name, T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T1.dba_name = 'JEAN SAMOCKI'	food_inspection_2
SELECT SUM(T3.fine) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.dba_name = 'HACIENDA LOS TORRES' AND T1.ward = 36 AND T2.results = 'Fail'	food_inspection_2
SELECT SUM(T2.fine) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.category = 'Food Equipment and Utensil'	food_inspection_2
SELECT T2.dba_name, T2.longitude, T2.latitude FROM inspection AS T1 INNER JOIN establishment AS T2 ON T1.license_no = T2.license_no WHERE T1.inspection_date = '2013-07-29' AND T1.results = 'Fail'	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T2.results LIKE '%Pass%' THEN T2.inspection_id END) AS REAL) * 100 / COUNT(T2.inspection_id), COUNT(DISTINCT T2.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.city = 'CHICAGO'	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T1.first_name = 'Jessica' AND T1.last_name = 'Anthony' THEN T2.inspection_id ELSE 0 END) AS REAL) / 8 FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE strftime('%Y', T2.inspection_date) BETWEEN '2010' AND '2017'	food_inspection_2
SELECT T1.first_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 48225	food_inspection_2
SELECT T1.address FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52238	food_inspection_2
SELECT T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52238	food_inspection_2
SELECT DISTINCT T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Thomas' AND T1.last_name = 'Langley'	food_inspection_2
SELECT DISTINCT T1.address FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-11-05'	food_inspection_2
SELECT DISTINCT T1.phone FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_type = 'Canvass'	food_inspection_2
SELECT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52269	food_inspection_2
SELECT DISTINCT T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'XANDO COFFEE & BAR / COSI SANDWICH BAR'	food_inspection_2
SELECT DISTINCT T2.inspection_type FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER'	food_inspection_2
SELECT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'License'	food_inspection_2
SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T1.risk_level = 3	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results LIKE '%Pass%'	food_inspection_2
SELECT SUM(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id BETWEEN 52270 AND 52272	food_inspection_2
SELECT AVG(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_type = 'License Re-Inspection'	food_inspection_2
SELECT DISTINCT T2.results, T1.zip FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.license_no = 1222441	food_inspection_2
SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER' AND strftime('%Y', T2.inspection_date) = '2010'	food_inspection_2
SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.license_no = 1334073	food_inspection_2
SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'	food_inspection_2
SELECT COUNT(DISTINCT T1.employee_id) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Fail' AND T1.salary > 70000	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T2.results = 'Pass' AND T1.facility_type = 'Liquor'	food_inspection_2
SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-07' AND T2.results = 'Fail' AND T1.facility_type = 'Restaurant'	food_inspection_2
SELECT DISTINCT T3.risk_level FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Bob' AND T1.last_name = 'Benson'	food_inspection_2
SELECT DISTINCT T3.dba_name, T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Bob' AND T1.last_name = 'Benson' AND strftime('%Y', T2.inspection_date) = '2010'	food_inspection_2
SELECT DISTINCT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.license_no = 1576687	food_inspection_2
SELECT COUNT(DISTINCT T2.point_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.point_level = 'Serious ' AND T2.fine = 0	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T3.fine = 250 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Restaurant'	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T1.risk_level = 1 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results = 'Pass'	food_inspection_2
SELECT address, city, state FROM employee WHERE first_name = 'Standard' AND last_name = 'Murray'	food_inspection_2
SELECT facility_type FROM establishment WHERE dba_name = 'Kinetic Playground'	food_inspection_2
SELECT salary FROM employee WHERE first_name = 'Jessica' AND last_name = 'Anthony'	food_inspection_2
SELECT dba_name FROM establishment WHERE latitude = 41.9532864854 AND longitude = -87.7673790701422 AND facility_type = 'Restaurant'	food_inspection_2
SELECT COUNT(employee_id) FROM employee WHERE title = 'Supervisor'	food_inspection_2
SELECT address FROM establishment WHERE city = 'CHICAGO' AND dba_name = 'OLD TIMERS REST & LOUNGE' AND facility_type = 'Restaurant'	food_inspection_2
SELECT COUNT(employee_id) FROM employee WHERE state = 'IL' AND city = 'Hoffman Estates'	food_inspection_2
SELECT COUNT(license_no) FROM establishment WHERE risk_level = 3	food_inspection_2
SELECT first_name, last_name FROM employee WHERE salary = 82700	food_inspection_2
SELECT DISTINCT T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52256	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Tavern' AND T3.fine = 100	food_inspection_2
SELECT DISTINCT T1.point_level FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.fine = 0	food_inspection_2
SELECT DISTINCT T1.facility_type, T1.license_no FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 1 AND T2.results = 'Fail'	food_inspection_2
SELECT DISTINCT T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-02-24' AND T1.first_name = 'Arnold' AND T1.last_name = 'Holder'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-04' AND T1.facility_type = 'Restaurant' AND T2.results = 'Fail'	food_inspection_2
SELECT DISTINCT T2.inspection_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Rosemary' AND T1.last_name = 'Kennedy'	food_inspection_2
SELECT DISTINCT T2.inspection_type FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Lisa' AND T1.last_name = 'Tillman' AND T2.inspection_date = '2010-07-07'	food_inspection_2
SELECT T2.inspection_id FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspector_comment = 'MUST CLEAN AND BETTER ORGANIZE HALLWAY AREA' AND T1.code = '7-38-030, 015, 010 (A), 005 (A)'	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T2.results = 'Fail'	food_inspection_2
SELECT T2.inspection_id FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T3.first_name = 'David' AND T3.last_name = 'Hodges' AND T1.dba_name = 'KAMAYAN EXPRESS'	food_inspection_2
SELECT T1.salary, T3.salary FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN employee AS T3 WHERE T2.inspection_id = 58424 ORDER BY T1.salary, T3.salary DESC LIMIT 1	food_inspection_2
SELECT T2.inspection_id FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.category = 'Personnel' AND T2.inspector_comment = 'A certified food service manager must be present in all establishments at which potentially hazardous food is prepared or served.FOUND NO CITY OF CHICAGO SANITATION CERTIFICATE POSTED OR VALID DOCUMENTATION DURING THIS INSPECTION.'	food_inspection_2
SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Grocery Store' AND T3.fine = 250	food_inspection_2
SELECT DISTINCT T4.category FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T1.dba_name = 'J & J FOOD'	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE strftime('%Y-%m', T2.inspection_date) = '2010-01' AND T2.results = 'Fail' AND T1.facility_type = 'TAVERN'	food_inspection_2
SELECT COUNT(DISTINCT T2.inspection_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.point_level = 'Serious ' AND T2.fine = 0	food_inspection_2
SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T4.category = 'No Smoking Regulations'	food_inspection_2
SELECT COUNT(CASE WHEN T2.results = 'Pass' THEN T1.license_no END) - COUNT(CASE WHEN T2.results = 'Fail' THEN T1.license_no END) AS diff FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'Canvass' AND T1.facility_type = 'Restaurant'	food_inspection_2
SELECT DISTINCT T1.employee_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Fail' AND strftime('%Y-%m', T2.inspection_date) = '2010-02' AND T1.salary > 0.7 * ( SELECT AVG(salary) FROM employee )	food_inspection_2
SELECT CAST(COUNT(CASE WHEN T1.facility_type = 'Restaurant' THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.facility_type) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T3.fine = 500	food_inspection_2
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date LIKE '2018%' AND T2.market_cap = ( SELECT MAX(market_cap) FROM historical WHERE STRFTIME('%Y', date) = '2018' )	coinmarketcap
SELECT T2.volume_24h FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Argentum' AND T2.date = '2016-10-11'	coinmarketcap
SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07' UNION ALL SELECT AVG(T2.PRICE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07'	coinmarketcap
SELECT T2.time_high, T2.time_low, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'WARP' AND STRFTIME('%Y-%m', T2.date) = '2016-08'	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'DigixDAO' ORDER BY T2.price DESC LIMIT 1	coinmarketcap
SELECT T1.name, T2.DATE, T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_24h = ( SELECT MAX(percent_change_24h) FROM historical )	coinmarketcap
SELECT CAST(SUM(T2.circulating_supply) AS REAL) / 12 FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Frozen' AND STRFTIME('%Y', T2.date) = '2014'	coinmarketcap
SELECT T1.NAME, MAX(T2.DATE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.ID = T2.coin_id WHERE T1.status = 'inactive' ORDER BY T2.DATE DESC LIMIT 1	coinmarketcap
SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' AND STRFTIME('%Y', T2.date) = '2016'	coinmarketcap
SELECT T2.date, T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' ORDER BY T2.price LIMIT 1	coinmarketcap
SELECT T1.status FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id GROUP BY T1.name HAVING AVG(T2.price) > 1000	coinmarketcap
SELECT T1.name, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_1h = ( SELECT MIN(percent_change_1h) FROM historical )	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.category = 'token' ORDER BY T2.high - T2.low DESC LIMIT 1	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2020-06-22' GROUP BY T1.name HAVING AVG(T2.percent_change_24h) > T2.PRICE	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T2.cmc_rank = 1	coinmarketcap
SELECT T2.market_cap FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-03' AND T2.open IS NULL	coinmarketcap
SELECT T2.close FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T2.time_high FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T2.high - T2.low FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T2.max_supply - T2.total_supply FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2016-01-08' AND T2.volume_24h = ( SELECT MAX(volume_24h) FROM historical WHERE date = '2016-01-08' )	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T2.total_supply > 10000000	coinmarketcap
SELECT (CASE WHEN T2.percent_change_7d > 0 THEN 'INCREASED' ELSE 'DECREASED' END) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-05' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name IN ('Bitcoin', 'Litecoin') ORDER BY T2.circulating_supply DESC LIMIT 1	coinmarketcap
SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE STRFTIME('%Y', T2.date) = '2013' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT CAST((SUM(T2.max_supply) - SUM(T2.total_supply)) AS REAL) / SUM(T2.total_supply) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date < '2018-04-28' AND T1.name = 'Bitcoin'	coinmarketcap
SELECT name FROM coins WHERE status = 'extinct'	coinmarketcap
SELECT description FROM coins WHERE name = 'BitBar'	coinmarketcap
SELECT COUNT(id) num FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05' UNION ALL SELECT name FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05'	coinmarketcap
SELECT name, symbol FROM coins WHERE date_added LIKE '2013-06-14%'	coinmarketcap
SELECT name FROM coins WHERE date_added LIKE '2014%' AND status = 'untracked'	coinmarketcap
SELECT name FROM coins WHERE LENGTH(tag_names) - LENGTH(replace(tag_names, ',', '')) = 2	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.price = ( SELECT MAX(price) FROM historical )	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T2.cmc_rank = 1	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' ORDER BY T2.low LIMIT 1	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.volume_24h = ( SELECT MAX(volume_24h) FROM historical )	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE STRFTIME('%Y-%m', T2.date) = '2013-05' AND T2.open IS NULL	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'CHNCoin' ORDER BY T2.close DESC LIMIT 1	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Peercoin' AND T2.cmc_rank = 5	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Devcoin' ORDER BY T2.market_cap DESC LIMIT 1	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2014-01-01' AND T2.cmc_rank <= 5	coinmarketcap
SELECT DISTINCT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Lebowskis' AND (T2.open IS NULL OR T2.open = 0)	coinmarketcap
SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Terracoin' ORDER BY T2.price DESC LIMIT 1	coinmarketcap
SELECT COUNT(T2.coin_id) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bytecoin' AND STRFTIME('%Y-%m', T2.date) = '2013-06'	coinmarketcap
SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2018-04-28' AND T2.price > ( SELECT AVG(price) FROM historical WHERE date = '2018-04-28' )	coinmarketcap
SELECT T1.NAME FROM coins AS T1 INNER JOIN historical AS T2 ON T1.ID = T2.coin_id WHERE T2.DATE = '2013-05-29' AND T2.percent_change_1h > 0	coinmarketcap
SELECT COUNT(EmployeeID) FROM Employees WHERE TitleOfCourtesy = 'Dr.'	retail_world
SELECT FirstName, LastName FROM Employees WHERE EmployeeID = ( SELECT ReportsTo FROM Employees WHERE LastName = 'Davolio' AND FirstName = 'Nancy' )	retail_world
SELECT HomePhone FROM Employees WHERE LastName = 'Davolio' AND FirstName = 'Nancy'	retail_world
SELECT COUNT(EmployeeID) FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE LastName = 'Fuller' AND FirstName = 'Andrew' )	retail_world
SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )	retail_world
SELECT ( SELECT Salary FROM Employees WHERE LastName = 'Fuller' AND FirstName = 'Andrew' ) - ( SELECT Salary FROM Employees WHERE LastName = 'Davolio' AND FirstName = 'Nancy' ) AS RESULT	retail_world
SELECT COUNT(Country) FROM Employees WHERE Title = 'Sales Representative' AND Country = 'UK'	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Hollis'	retail_world
SELECT COUNT(T2.TerritoryID) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Nancy' AND T1.LastName = 'Davolio'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.FirstName = 'Nancy' AND T1.LastName = 'Davolio'	retail_world
SELECT COUNT(T2.TerritoryID) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.City = 'London'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.ReportsTo = ( SELECT EmployeeID FROM Employees WHERE FirstName = 'Andrew' AND LastName = 'Fuller' )	retail_world
SELECT COUNT(COUNTEID) FROM ( SELECT T1.EmployeeID AS COUNTEID FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.Country = 'UK' GROUP BY T1.EmployeeID HAVING COUNT(T2.TerritoryID) > 4 ) T1	retail_world
SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern'	retail_world
SELECT DISTINCT T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern'	retail_world
SELECT COUNT(T.EmployeeID) FROM ( SELECT T3.EmployeeID FROM Region AS T1 INNER JOIN Territories AS T2 ON T1.RegionID = T2.RegionID INNER JOIN EmployeeTerritories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.RegionDescription = 'Eastern' GROUP BY T3.EmployeeID ) T	retail_world
SELECT T1.HomePhone FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Eastern ' GROUP BY T1.HomePhone	retail_world
SELECT ( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern' ) - ( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Southern' ) AS Calu	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248	retail_world
SELECT T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura'	retail_world
SELECT T2.UnitPrice * T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura'	retail_world
SELECT T1.UnitsInStock + T1.UnitsOnOrder FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T2.Quantity DESC LIMIT 1	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T1.ReorderLevel DESC LIMIT 1	retail_world
SELECT COUNT(T2.OrderID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Tofu'	retail_world
SELECT T2.OrderID FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Discontinued = 1	retail_world
SELECT COUNT(T2.OrderID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Ikura' AND T2.UnitPrice < T1.UnitPrice	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Aniseed Syrup'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'Japan'	retail_world
SELECT DISTINCT T2.Phone FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitsInStock < T1.UnitsOnOrder	retail_world
SELECT COUNT(T1.Discontinued) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'USA' AND T1.Discontinued = 1	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )	retail_world
SELECT AVG(T1.Salary) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID GROUP BY T1.EmployeeID HAVING COUNT(T2.TerritoryID) > 4	retail_world
SELECT CAST((T1.UnitPrice - T2.UnitPrice) AS REAL) * 100 / T1.UnitPrice FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura'	retail_world
SELECT CAST(SUM(T2.Quantity) AS REAL) / COUNT(T2.OrderID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Ikura'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T1.UnitsOnOrder / T1.UnitsInStock DESC LIMIT 1	retail_world
SELECT FirstName, LastName FROM Employees WHERE BirthDate = ( SELECT MAX(BirthDate) FROM Employees )	retail_world
SELECT FirstName, LastName FROM Employees WHERE HireDate = ( SELECT MAX(HireDate) FROM Employees )	retail_world
SELECT COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Michael' AND T1.LastName = 'Suyama'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.TitleOfCourtesy = 'Mr.' AND T1.FirstName = 'Robert' AND T1.LastName = 'King'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.EmployeeID = ( SELECT ReportsTo FROM Employees WHERE TitleOfCourtesy = 'Ms.' AND FirstName = 'Laura' AND LastName = 'Callahan' )	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Santa Monica'	retail_world
SELECT T1.HomePhone FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Savannah'	retail_world
SELECT SUM(T2.Quantity) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.CustomerID = 'HILAA' AND T1.OrderDate LIKE '1997-12-25%'	retail_world
SELECT COUNT(T2.ProductID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.Freight = ( SELECT MAX(Freight) FROM Orders ) GROUP BY T1.OrderID	retail_world
SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10585	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Federal Shipping'	retail_world
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.CategoryName = 'Dairy Products'	retail_world
SELECT T2.CategoryName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.ProductName = 'Tofu'	retail_world
SELECT SUM(T1.UnitsInStock + T1.UnitsOnOrder) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Escargots Nouveaux'	retail_world
SELECT T1.ReorderLevel FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Nord-Ost-Fisch Handelsgesellschaft mbH'	retail_world
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Karkki Oy'	retail_world
SELECT T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Gudbrandsdalsost'	retail_world
SELECT T2.Country FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Scottish Longbreads'	retail_world
SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Northern'	retail_world
SELECT T2.RegionDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T1.TerritoryDescription = 'Columbia'	retail_world
SELECT CAST(COUNT(CASE WHEN T2.CompanyName = 'United Package' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.CustomerID = 'WHITC'	retail_world
SELECT CAST((COUNT(CASE WHEN T2.CompanyName = 'United Package' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END)) AS REAL) * 100 / COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID	retail_world
SELECT CAST(( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern' ) AS REAL) / ( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Southern' ) AS Calu	retail_world
SELECT COUNT(CustomerID) FROM Customers GROUP BY Country ORDER BY COUNT(CustomerID) DESC LIMIT 1	retail_world
SELECT OrderID FROM Orders WHERE Freight > 800	retail_world
SELECT Address, City, Region, Country, PostalCode FROM Customers WHERE CompanyName = 'Island Trading'	retail_world
SELECT ProductName FROM Products WHERE UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )	retail_world
SELECT COUNT(SupplierID) FROM Suppliers WHERE Country = 'USA'	retail_world
SELECT ProductName FROM Products WHERE ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )	retail_world
SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )	retail_world
SELECT ProductName FROM Products WHERE Discontinued = 1	retail_world
SELECT AVG(Salary) FROM Employees WHERE Title = 'Sales Representative' AND Country = 'UK'	retail_world
SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.ShipCountry = 'USA' GROUP BY T2.CompanyName ORDER BY COUNT(T2.CompanyName) DESC LIMIT 1	retail_world
SELECT COUNT(T1.ProductName) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Pavlova, Ltd.'	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.CustomerID = 'GREAL' AND T2.CompanyName = 'United Package'	retail_world
SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'United Package'	retail_world
SELECT COUNT(T1.Discontinued) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.Discontinued = 1 AND T2.Country = 'Australia'	retail_world
SELECT T2.UnitPrice * T2.Quantity + T1.Freight FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID ORDER BY T2.UnitPrice * T2.Quantity + T1.Freight DESC LIMIT 2	retail_world
SELECT T1.SupplierID FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID GROUP BY T1.SupplierID ORDER BY COUNT(*) DESC LIMIT 1	retail_world
SELECT DISTINCT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.UnitPrice < 5	retail_world
SELECT T1.Title FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID GROUP BY T1.Title ORDER BY COUNT(T2.TerritoryID) DESC LIMIT 1	retail_world
SELECT T1.ProductID FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID ORDER BY COUNT(*) DESC LIMIT 1	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.TitleOfCourtesy = 'Dr.'	retail_world
SELECT DISTINCT T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern' ORDER BY T1.TerritoryDescription	retail_world
SELECT CAST(COUNT(T2.TerritoryID) AS REAL) / COUNT(DISTINCT T1.EmployeeID) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.Title = 'Sales Representative'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.CategoryName = 'Beverages' ORDER BY T1.ReorderLevel DESC LIMIT 1	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID GROUP BY T1.FirstName, T1.LastName ORDER BY COUNT(*) DESC LIMIT 1	retail_world
SELECT COUNT(T2.ProductID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID GROUP BY T2.ProductID ORDER BY COUNT(T1.Freight) DESC LIMIT 1	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.CategoryName = 'Seafood' ORDER BY T1.UnitsInStock + T1.UnitsOnOrder DESC LIMIT 1	retail_world
SELECT MAX(Salary) - MIN(Salary) FROM ( SELECT T1.Salary FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID GROUP BY T1.EmployeeID, T1.Salary ORDER BY COUNT(T2.TerritoryID) DESC LIMIT 2 ) T1	retail_world
SELECT SUM(UnitPrice) / COUNT(UnitPrice) FROM Products WHERE UnitsInStock > 50	retail_world
SELECT CompanyName FROM `Customer and Suppliers by City` WHERE CITY = ( SELECT City FROM `Customer and Suppliers by City` GROUP BY City ORDER BY COUNT(Relationship) DESC LIMIT 1 )	retail_world
SELECT CompanyName, ContactName, ContactTitle FROM Customers WHERE City = 'Madrid'	retail_world
SELECT FirstName, LastName, HomePhone FROM Employees ORDER BY BirthDate DESC	retail_world
SELECT AVG(UnitPrice) AS avg FROM Invoices WHERE Country = 'UK'	retail_world
SELECT ProductID FROM `Order Details` GROUP BY ProductID ORDER BY SUM(Quantity) DESC LIMIT 1	retail_world
SELECT T2.CompanyName, T2.Address, T2.Phone FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitPrice > 30	retail_world
SELECT DISTINCT T1.CompanyName, T1.Address FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Freight > ( SELECT AVG(Freight) FROM Orders )	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Wilton'	retail_world
SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.Discontinued = 1 AND T2.Country != 'USA'	retail_world
SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.OrderDate LIKE '1998%' ORDER BY T3.UnitPrice + T1.Freight DESC LIMIT 5	retail_world
SELECT COUNT(T3.CustomerID) FROM Shippers AS T1 INNER JOIN Orders AS T2 ON T1.ShipperID = T2.ShipVia INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T2.ShipName = 'Federal Shipping'	retail_world
SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID GROUP BY T3.ProductName ORDER BY COUNT(*) DESC LIMIT 10	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID GROUP BY T2.SupplierID, T2.CompanyName ORDER BY COUNT(T1.ProductName) DESC LIMIT 1	retail_world
SELECT DISTINCT T1.FirstName, T1.LastName, T4.RegionDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID ORDER BY T1.FirstName	retail_world
SELECT FirstName, LastName, Title, address FROM Employees WHERE EmployeeID = ( SELECT T1.EmployeeID FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderDate BETWEEN '1996-01-01 00:00:00' AND '1997-01-01 00:00:00' GROUP BY T1.EmployeeID ORDER BY COUNT(T2.OrderID) DESC LIMIT 1 )	retail_world
SELECT AVG(T2.UnitPrice) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Shippers AS T3 ON T1.ShipVia = T3.ShipperID WHERE T1.OrderDate LIKE '1997%' AND T3.CompanyName = 'United Package'	retail_world
SELECT CAST(COUNT(CASE WHEN T2.CompanyName = 'Speedy Express' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.ShipVia) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID	retail_world
SELECT TitleOfCourtesy FROM Employees ORDER BY Salary LIMIT 3	retail_world
SELECT LastName FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Vice President, Sales' )	retail_world
SELECT UnitPrice * Quantity * (1 - Discount) AS THETOP FROM `Order Details` ORDER BY UnitPrice * Quantity * (1 - Discount) DESC LIMIT 1	retail_world
SELECT ProductName FROM Products ORDER BY UnitsInStock + UnitsOnOrder DESC LIMIT 3	retail_world
SELECT ProductID FROM Products ORDER BY ReorderLevel ASC, UnitPrice DESC LIMIT 1	retail_world
SELECT COUNT(T1.CategoryID) FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Dairy Products' AND T2.Discontinued = 0	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.Title = 'Inside Sales Coordinator'	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Freight > 2000000	retail_world
SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.ShipCity = 'Aachen' GROUP BY T2.CompanyName ORDER BY COUNT(T1.ShipVia) DESC LIMIT 1	retail_world
SELECT DISTINCT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Northern'	retail_world
SELECT T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Pavlova'	retail_world
SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.ShipCity = 'Paris'	retail_world
SELECT T4.ProductName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID WHERE T1.PostalCode = 28023 ORDER BY T3.Quantity LIMIT 1	retail_world
SELECT DISTINCT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Southern' AND T1.ReportsTo = ( SELECT EmployeeID FROM Employees WHERE FirstName = 'Andrew' AND LastName = 'Fuller' )	retail_world
SELECT T2.OrderDate FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID WHERE T4.ProductName = 'Filo Mix' AND T3.Quantity = 9 AND T1.CompanyName = 'Du monde entier'	retail_world
SELECT T3.CategoryName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Categories AS T3 ON T1.CategoryID = T3.CategoryID WHERE T2.OrderID = 10933	retail_world
SELECT T1.HomePhone FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Portsmouth'	retail_world
SELECT CAST(SUM(T2.Quantity) AS REAL) / COUNT(T2.OrderID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Shippers AS T3 ON T1.ShipVia = T3.ShipperID WHERE T1.ShippedDate LIKE '1996-11%' AND T3.CompanyName = 'Federal Shipping'	retail_world
SELECT CAST(COUNT(CASE WHEN T1.ShippedDate LIKE '1996-09%' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.ShipVia) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'United Package' AND T1.ShippedDate LIKE '1996%'	retail_world
SELECT COUNT(ContactTitle) FROM Customers WHERE Country = 'Mexico' AND ContactTitle = 'Owner'	retail_world
SELECT Address, City, Region, PostalCode, Country FROM Customers WHERE ContactName = 'Andr Fonseca'	retail_world
SELECT CompanyName FROM Customers WHERE Phone LIKE '(171)%'	retail_world
SELECT ( SELECT COUNT(Title) FROM Employees WHERE Country = 'UK' AND Title = 'Sales Representative' ) - ( SELECT COUNT(Title) FROM Employees WHERE Country = 'USA' AND Title = 'Sales Representative' ) AS DIFFERENCE	retail_world
SELECT COUNT(CustomerID) FROM Customers WHERE City = 'Sao Paulo' AND Country = 'Brazil' AND ContactTitle = 'Sales Associate'	retail_world
SELECT T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10521 AND T2.CustomerID = 'CACTU'	retail_world
SELECT T2.Freight FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10692 AND T1.CompanyName = 'Alfreds Futterkiste'	retail_world
SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10558	retail_world
SELECT T1.OrderID FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Speedy Express' LIMIT 3	retail_world
SELECT T2.ProductName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Beverages'	retail_world
SELECT T1.Description FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.ProductName = 'tofu'	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Gula Malacca'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Aux joyeux ecclsiastiques'	retail_world
SELECT T1.UnitPrice FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName LIKE 'Mayumi%' AND T1.ProductName = 'Konbu'	retail_world
SELECT T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Camembert Pierrot'	retail_world
SELECT T2.ProductName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.Discontinued = 1 AND T1.CategoryName = 'Meat/Poultry' LIMIT 3	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Heli Swaren GmbH & Co. KG' ORDER BY T1.ReorderLevel DESC LIMIT 2	retail_world
SELECT ContactName FROM Suppliers WHERE CompanyName = 'Heli Swaren GmbH & Co. KG'	retail_world
SELECT Country FROM Customers WHERE CompanyName = 'Drachenblut Delikatessen'	retail_world
SELECT COUNT(TerritoryID) FROM Territories	retail_world
SELECT SUM(UnitPrice) FROM `Order Details` GROUP BY OrderID ORDER BY SUM(UnitPrice) DESC LIMIT 1	retail_world
SELECT ProductName FROM Products WHERE UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )	retail_world
SELECT COUNT(ShipCountry) FROM Orders WHERE ShipCountry = 'France'	retail_world
SELECT T2.RegionDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T1.TerritoryDescription = 'Hoffman Estates'	retail_world
SELECT T2.HomePage FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Thringer Rostbratwurst'	retail_world
SELECT DISTINCT T1.FirstName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.ShipCity = 'Reims'	retail_world
SELECT T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T2.ProductID = T1.ProductID WHERE T1.ProductName = 'Manjimup Dried Apples' ORDER BY T2.Quantity DESC LIMIT 1	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Speedy Express'	retail_world
SELECT DISTINCT T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Southern'	retail_world
SELECT T2.UnitPrice FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.Description = 'Cheeses'	retail_world
SELECT COUNT(T2.OrderID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.CompanyName = 'Laughing Bacchus Wine Cellars'	retail_world
SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.ShipAddress = 'Starenweg 5' GROUP BY T3.ProductName	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Bigfoot Breweries'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.LastName = 'King' AND T1.FirstName = 'Robert'	retail_world
SELECT T1.ContactName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.ShipCountry = 'Switzerland' GROUP BY T1.ContactName	retail_world
SELECT CAST(COUNT(CASE WHEN T1.Title = 'Sales Representative' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID	retail_world
SELECT COUNT(Country) FROM Employees WHERE TitleOfCourtesy = 'Dr.' AND Country = 'USA'	retail_world
SELECT AVG(Salary) FROM Employees WHERE EmployeeID BETWEEN 1 AND 9	retail_world
SELECT SUM(Salary) FROM Employees WHERE Country = 'UK'	retail_world
SELECT CASE WHEN HomePhone = '(206) 555-1189' THEN 'YES' ELSE 'NO' END FROM Employees WHERE FirstName = 'Laura' AND LastName = 'Callahan'	retail_world
SELECT Notes FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )	retail_world
SELECT T2.CustomerID FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Michael' AND T1.LastName = 'Suyama'	retail_world
SELECT DISTINCT T2.ShipCountry FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Janet' AND T1.LastName = 'Leverling'	retail_world
SELECT COUNT(T2.EmployeeID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Margaret' AND T1.LastName = 'Peacock'	retail_world
SELECT CAST(SUM(T1.Salary) AS REAL) / COUNT(T2.EmployeeID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Andrew' AND T1.LastName = 'Fuller'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Exotic Liquids'	retail_world
SELECT T1.QuantityPerUnit FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Tokyo Traders'	retail_world
SELECT COUNT(T1.Discontinued) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'New Orleans Cajun Delights'	retail_world
SELECT SUM(T1.UnitPrice) / COUNT(T1.SupplierID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Formaggi Fortini s.r.l.'	retail_world
SELECT COUNT(T1.SupplierID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'Japan'	retail_world
SELECT T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Teatime Chocolate Biscuits'	retail_world
SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )	retail_world
SELECT T2.ContactTitle FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.QuantityPerUnit = '10 boxes x 12 pieces'	retail_world
SELECT SUM(T1.UnitsOnOrder) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Exotic Liquids'	retail_world
SELECT CAST(COUNT(CASE WHEN T2.CompanyName = 'Gai pturage' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.SupplierID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID	retail_world
SELECT ProductID FROM Products ORDER BY UnitsInStock DESC LIMIT 5	retail_world
SELECT COUNT(*) FROM Products WHERE Discontinued = 1	retail_world
SELECT Address, HomePhone, Salary FROM Employees WHERE Title = 'Sales Manager'	retail_world
SELECT FirstName, LastName FROM Employees WHERE Title = 'Vice President, Sales'	retail_world
SELECT CompanyName FROM `Sales Totals by Amount` ORDER BY SaleAmount DESC LIMIT 10	retail_world
SELECT AVG(ProductSales) FROM `Sales by Category` GROUP BY CategoryName	retail_world
SELECT SUM(T2.Quantity) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName LIKE 'Uncle Bob%s Organic Dried Pears'	retail_world
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Categories AS T3 ON T1.CategoryID = T3.CategoryID WHERE T3.CategoryName = 'Seafood' AND T2.Quantity > 50	retail_world
SELECT T1.ProductName, T1.ProductID, T1.ReorderLevel FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Pavlova, Ltd.'	retail_world
SELECT DISTINCT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.Discontinued = 1	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.EmployeeID < 4	retail_world
SELECT COUNT(DISTINCT T1.FirstName) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Eastern'	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Federal Shipping' AND T1.ShippedDate BETWEEN '1997-03-01 00:00:00' AND '1997-10-08 23:59:59'	retail_world
SELECT DISTINCT T2.CustomerID FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.LastName = 'Peacock' AND T1.FirstName = 'Margaret' AND T2.ShipCountry = 'Brazil' AND T2.ShippedDate BETWEEN '1997-03-31 00:00:00' AND '1997-12-10 23:59:59'	retail_world
SELECT T1.ReorderLevel FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Quantity = 1	retail_world
SELECT T1.UnitPrice * T1.UnitsInStock FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID	retail_world
SELECT COUNT(T2.TerritoryID) FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Anne' AND T1.LastName = 'Dodsworth'	retail_world
SELECT T1.CompanyName, TIMESTAMPDIFF(DAY, T2.ShippedDate, T2.RequiredDate) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Country = 'USA' AND TIMESTAMPDIFF(DAY, T2.ShippedDate, T2.RequiredDate) < 0	retail_world
SELECT T1.ContactName, T1.Phone FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID GROUP BY T2.OrderID, T1.ContactName, T1.Phone ORDER BY SUM(T3.UnitPrice * T3.Quantity * (1 - T3.Discount)) DESC LIMIT 1	retail_world
SELECT T4.LastName, T4.FirstName, T4.ReportsTo , T1.Quantity * T1.UnitPrice * (1 - T1.Discount) AS payment FROM `Order Details` AS T1 INNER JOIN Orders AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID INNER JOIN Employees AS T4 ON T2.EmployeeID = T4.EmployeeID ORDER BY payment DESC LIMIT 1	retail_world
SELECT COUNT(City) FROM Customers WHERE Country = 'Germany' AND City = 'Berlin'	retail_world
SELECT COUNT(T1.ProductName) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Exotic Liquids'	retail_world
SELECT T2.CompanyName, T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitPrice = ( SELECT MIN(UnitPrice) FROM Products )	retail_world
SELECT SUM(T1.UnitPrice) / COUNT(T2.SupplierID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Tokyo Traders'	retail_world
SELECT COUNT(T1.RegionID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern'	retail_world
SELECT T2.RegionID FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID GROUP BY T2.RegionID ORDER BY COUNT(T1.TerritoryID) DESC LIMIT 1	retail_world
SELECT T2.RegionDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T1.TerritoryID = 2116	retail_world
SELECT CAST(COUNT(CASE WHEN T1.City = 'Madrid' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.City) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y', T2.OrderDate) = 1996	retail_world
SELECT FirstName, LastName, Title FROM Employees	retail_world
SELECT FirstName, LastName FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )	retail_world
SELECT COUNT(Title) FROM Employees WHERE Salary > 2000 AND Title = 'Sales Representative'	retail_world
SELECT COUNT(T1.CustomerID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y', T2.OrderDate) = '1996' AND T1.Country = 'UK'	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y', T2.OrderDate) = '1998' GROUP BY T1.CompanyName ORDER BY COUNT(T2.OrderID) DESC LIMIT 1	retail_world
SELECT COUNT(T2.CustomerID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y', T2.OrderDate) = '1996' GROUP BY T1.Country	retail_world
SELECT COUNT(T2.OrderID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y', T2.OrderDate) = '1999' AND T1.CompanyName = 'Hanna Moos'	retail_world
SELECT datediff(T2.ShippedDate, T2.OrderDate) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.CompanyName = 'Berglunds snabbkp' ORDER BY datediff(T2.ShippedDate, T2.OrderDate) LIMIT 1	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10257	retail_world
SELECT STRFTIME('%Y', T2.OrderDate) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.CompanyName = 'Around the Horn' GROUP BY STRFTIME('%Y', T2.OrderDate) ORDER BY COUNT(T2.OrderID) DESC LIMIT 1	retail_world
SELECT COUNT(EmployeeID) FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE LastName = 'Fuller' AND FirstName = 'Andrew' )	retail_world
SELECT Country FROM Suppliers GROUP BY Country ORDER BY COUNT(SupplierID) DESC LIMIT 1	retail_world
SELECT FirstName, LastName FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Sales Manager' )	retail_world
SELECT COUNT(OrderID) FROM Orders WHERE OrderDate LIKE '1996-08%' GROUP BY CustomerID ORDER BY COUNT(OrderID) DESC LIMIT 1	retail_world
SELECT Salary FROM Employees WHERE HireDate = ( SELECT MIN(HireDate) FROM Employees )	retail_world
SELECT MAX(TIMESTAMPDIFF(YEAR, BirthDate, HireDate)) FROM Employees	retail_world
SELECT SUM(T2.UnitPrice * T2.Quantity) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Discontinued = 1	retail_world
SELECT T2.CategoryName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.Discontinued = 1 GROUP BY T2.CategoryName ORDER BY COUNT(T1.ProductID) DESC LIMIT 1	retail_world
SELECT COUNT(T2.ProductID) FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID INNER JOIN `Order Details` AS T3 ON T2.ProductID = T3.ProductID INNER JOIN Orders AS T4 ON T3.OrderID = T4.OrderID WHERE T1.CategoryName = 'Condiments' AND T1.CategoryID = 2 AND T4.OrderDate LIKE '1997%'	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID GROUP BY T1.CompanyName ORDER BY COUNT(T3.ProductID) DESC LIMIT 1	retail_world
SELECT CAST(SUM(T1.ShipVia) AS REAL) / 12 FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Federal Shipping' AND T1.ShippedDate LIKE '1996%'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName LIKE 'G%day, Mate'	retail_world
SELECT COUNT(T2.RegionDescription), T1.TerritoryDescription, COUNT(*) AS num FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID GROUP BY T1.TerritoryDescription ORDER BY num DESC LIMIT 1	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )	retail_world
SELECT COUNT(EID) FROM ( SELECT T1.EmployeeID AS EID FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.TitleOfCourtesy IN ('Ms.' OR 'Mrs.') GROUP BY T1.EmployeeID HAVING COUNT(T2.TerritoryID) >= 3 ) T1	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID ORDER BY T1.ReorderLevel DESC LIMIT 8	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T3.Discount = 0 GROUP BY T1.CompanyName ORDER BY SUM(T3.UnitPrice * T3.Quantity) DESC LIMIT 1	retail_world
SELECT SUM(T3.UnitPrice * T3.Quantity) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T1.FirstName = 'Nancy' AND T1.LastName = 'Davolio' AND T2.OrderDate LIKE '1996-12%' AND T3.Discount = 0	retail_world
SELECT SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.OrderDate LIKE '1997%'	retail_world
SELECT SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) / 3 FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.ShippedDate BETWEEN '1996-01-01 00:00:00' AND '1998-12-31 23:59:59'	retail_world
SELECT COUNT(OrderID) FROM Orders WHERE ShipCountry = 'Venezuela' AND STRFTIME('%Y', ShippedDate) = '1996'	retail_world
SELECT CategoryID, Description FROM Categories WHERE CategoryName = 'Condiments'	retail_world
SELECT ProductID, OrderID, UnitPrice FROM `Order Details` WHERE UnitPrice * Quantity * (1 - Discount) > 15000	retail_world
SELECT TerritoryID FROM EmployeeTerritories WHERE EmployeeID = 7	retail_world
SELECT CompanyName, HomePage FROM Suppliers WHERE City = 'Sydney'	retail_world
SELECT FirstName, LastName , TIMESTAMPDIFF(YEAR, BirthDate, HireDate) AS AGE FROM Employees WHERE Title = 'Vice President, Sales'	retail_world
SELECT CompanyName FROM Suppliers WHERE Country = 'Germany'	retail_world
SELECT TitleOfCourtesy, FirstName, LastName , TIMESTAMPDIFF(YEAR, BirthDate, NOW()) AS ages FROM Employees WHERE City = 'London'	retail_world
SELECT CompanyName, Address, Phone, Fax FROM Customers WHERE City = 'London'	retail_world
SELECT FirstName, LastName, Title FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE Title = 'Sales Manager' )	retail_world
SELECT CompanyName, City FROM Customers WHERE Country = 'Canada'	retail_world
SELECT UnitsInStock + UnitsOnOrder, ProductName FROM Products WHERE QuantityPerUnit = '10 - 500 g pkgs.'	retail_world
SELECT T2.ProductName, T1.CategoryName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID ORDER BY T2.ReorderLevel DESC LIMIT 1	retail_world
SELECT T2.CompanyName, T2.City, T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitsInStock + UnitsOnOrder > 120	retail_world
SELECT T2.ContactName, T2.ContactTitle, T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Escargots Nouveaux'	retail_world
SELECT T3.TerritoryID, T3.TerritoryDescription, T4.RegionDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T1.TitleOfCourtesy = 'Mrs.' AND T1.LastName = 'Peacock' AND T1.FirstName = 'Margaret'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'Spain'	retail_world
SELECT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T1.RequiredDate LIKE '1998-03-26%' AND T1.CustomerID = 'WILMK'	retail_world
SELECT T2.ProductName, T1.CategoryName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )	retail_world
SELECT COUNT(T2.OrderID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Country = 'Ireland'	retail_world
SELECT T4.ProductName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID WHERE T1.Country = 'Norway' AND STRFTIME('%Y', T2.OrderDate) = '1996'	retail_world
SELECT T5.CompanyName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID INNER JOIN Suppliers AS T5 ON T4.SupplierID = T5.SupplierID WHERE T1.FirstName = 'Anne' AND T1.LastName = 'Dodsworth' AND T2.ShipCountry = 'Brazil' AND T2.OrderDate LIKE '1996-12%'	retail_world
SELECT T1.FirstName, T1.LastName, T1.Title, T1.Salary , COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE ShipCountry = 'USA' GROUP BY T1.FirstName, T1.LastName, T1.Title, T1.Salary, T1.BirthDate ORDER BY T1.BirthDate LIMIT 1	retail_world
SELECT T1.TerritoryID, T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Southern'	retail_world
SELECT SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) / COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Categories AS T3 ON T1.CategoryID = T3.CategoryID WHERE T3.CategoryName = 'Confections'	retail_world
SELECT SUM(T3.UnitPrice * T3.Quantity * (1 - T3.Discount)) AS TOTALPAYMENT FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T1.City = 'San Francisco'	retail_world
SELECT SUM(T1.UnitsInStock + T1.UnitsOnOrder) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'Japan'	retail_world
SELECT T2.ProductName, T3.CategoryName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T1.Country = 'Australia' AND T2.Discontinued = 1	retail_world
SELECT T3.Country, T1.OrderID FROM `Order Details` AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Suppliers AS T3 ON T2.SupplierID = T3.SupplierID WHERE T2.ProductName = 'Ipoh Coffee' ORDER BY T1.UnitPrice * T1.Quantity * (1 - T1.Discount) DESC LIMIT 1	retail_world
SELECT T1.ProductName , SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10979 GROUP BY T1.ProductName	retail_world
SELECT DISTINCT T1.ContactName, T1.ContactTitle FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T3.CategoryName = 'Grains/Cereals' AND T1.SupplierID BETWEEN 1 AND 10 LIMIT 1	retail_world
SELECT T2.Phone, COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Speedy Express' AND T1.ShippedDate LIKE '1998-01-30%' GROUP BY T2.Phone	retail_world
SELECT DISTINCT T3.ProductName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE DATEDIFF(T1.ShippedDate, T1.RequiredDate) < 0	retail_world
SELECT T4.ProductName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID WHERE T1.Title = 'Inside Sales Coordinator' AND T2.ShippedDate LIKE '1996%' AND T2.ShipCountry = 'Mexico'	retail_world
SELECT T2.ProductName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Dairy Products' AND T2.ReorderLevel = ( SELECT MAX(ReorderLevel) FROM Products )	retail_world
SELECT SUM(UnitsInStock + UnitsOnOrder) FROM Products WHERE ProductName = 'Mascarpone Fabioli'	retail_world
SELECT T2.ProductName, T1.CategoryName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.UnitPrice IN (( SELECT MIN(UnitPrice) FROM Products ), ( SELECT MAX(UnitPrice) FROM Products ))	retail_world
SELECT T1.CompanyName FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID GROUP BY T2.CustomerID ORDER BY SUM(T3.UnitPrice * T3.Quantity * (1 - T3.Discount)) DESC LIMIT 1	retail_world
SELECT COUNT(T2.EmployeeID) FROM Territories AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.TerritoryID = T2.TerritoryID INNER JOIN Region AS T3 ON T1.RegionID = T3.RegionID WHERE T3.RegionDescription = 'Northern'	retail_world
SELECT SUM(UnitPrice * Quantity * (1 - Discount)) / COUNT(OrderID) FROM `Order Details`	retail_world
SELECT CAST(COUNT(CASE WHEN Discontinued = 1 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(ProductID) FROM Products	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10274	retail_world
SELECT COUNT(T2.OrderID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.CompanyName = 'GROSELLA-Restaurante'	retail_world
SELECT T4.ProductName, T3.Quantity FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID INNER JOIN Customers AS T5 ON T2.CustomerID = T5.CustomerID WHERE T1.FirstName = 'Nancy' AND T1.LastName = 'Davolio' AND T5.CompanyName = 'GROSELLA-Restaurante'	retail_world
SELECT COUNT(T2.OrderID) , SUM(T3.UnitPrice * T3.Quantity * (1 - T3.Discount)) / COUNT(T2.OrderID) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T1.CompanyName = 'Laughing Bacchus Wine Cellars'	retail_world
SELECT COUNT(T2.Quantity) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Pavlova'	retail_world
SELECT ( SELECT MIN(Salary) FROM Employees WHERE Title = 'Sales Representative' ) AS MIN , ( SELECT MAX(Salary) FROM Employees WHERE Title = 'Sales Representative' ) AS MAX	retail_world
SELECT COUNT(SupplierID) FROM Suppliers WHERE Country = 'USA'	retail_world
SELECT ProductName FROM Products WHERE Discontinued = 1	retail_world
SELECT ContactName FROM Customers WHERE CompanyName = 'Eastern Connection' AND ContactTitle = 'Sales Agent'	retail_world
SELECT COUNT(ShipperID) FROM Shippers	retail_world
SELECT CAST(COUNT(CASE WHEN T2.ShipCountry = 'Austria' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Andrew' AND T1.LastName = 'Fuller'	retail_world
SELECT CategoryName FROM Categories WHERE Description = 'Soft drinks, coffees, teas, beers, and ales'	retail_world
SELECT Phone FROM Customers WHERE CompanyName = 'Around the Horn'	retail_world
SELECT Fax FROM Customers WHERE CompanyName = 'Blondesddsl pre et fils' AND City = 'Strasbourg'	retail_world
SELECT COUNT(CompanyName) FROM Customers WHERE City = 'London'	retail_world
SELECT Address FROM Customers WHERE CompanyName = 'Eastern Connection' AND ContactName = 'Ann Devon'	retail_world
SELECT CompanyName FROM Customers WHERE Country = 'France'	retail_world
SELECT COUNT(T1.ProductName) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Exotic Liquids'	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.UnitPrice = ( SELECT MAX(UnitPrice) FROM Products )	retail_world
SELECT T2.CompanyName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.City = 'London' ORDER BY T1.UnitsInStock DESC LIMIT 1	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Exotic Liquids' ORDER BY T1.ReorderLevel DESC LIMIT 1	retail_world
SELECT T3.CategoryName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T1.CompanyName = 'New Orleans Cajun Delights' AND T2.ProductName LIKE 'Chef Anton%s Gumbo Mix'	retail_world
SELECT T2.Country FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Ipoh Coffee' AND T2.CompanyName = 'Leka Trading'	retail_world
SELECT T2.CategoryName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.UnitsOnOrder = ( SELECT MAX(T1.UnitsOnOrder) FROM Products )	retail_world
SELECT ( SELECT T1.UnitPrice FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'New Orleans Cajun Delights' AND T1.ProductName LIKE 'Chef Anton%s Cajun Seasoning' ) - ( SELECT T1.UnitPrice FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'New Orleans Cajun Delights' AND T1.ProductName LIKE 'Chef Anton%s Gumbo Mix' ) AS calu	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName LIKE 'Cooperativa de Quesos%' AND T1.UnitPrice > 20	retail_world
SELECT DISTINCT T2.ProductName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN `Order Details` AS T3 ON T2.ProductID = T3.ProductID WHERE T1.CompanyName = 'Tokyo Traders' AND T3.Quantity > 40	retail_world
SELECT T3.CategoryName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T2.UnitsInStock > 100 AND T1.CompanyName = 'Exotic Liquids'	retail_world
SELECT SUM(CASE WHEN T2.Quantity < 50 THEN 1 ELSE 0 END) , CAST(SUM(IF(T2.Quantity < 50, 1, 0)) AS REAL) / COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID	retail_world
SELECT SUM(IF(T1.ProductName = 'Geitost', 1, 0)) AS sum , CAST(SUM(IF(T1.ProductName = 'Geitost', 1, 0)) AS REAL) / COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID	retail_world
SELECT Title FROM Employees WHERE FirstName = 'Robert' AND LastName = 'King'	retail_world
SELECT CompanyName FROM Shippers WHERE Phone = '(503) 555-9931'	retail_world
SELECT Address, HomePhone FROM Employees WHERE FirstName = 'Margaret' AND LastName = 'Peacock'	retail_world
SELECT DISTINCT ShipAddress, ShipCity, ShipRegion, ShipPostalCode, ShipCountry FROM Orders WHERE ShipName = 'Rattlesnake Canyon Grocery'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.CategoryName = 'Confections'	retail_world
SELECT T2.CompanyName, T2.ContactName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName LIKE 'Sir Rodney%s Marmalade'	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Denver'	retail_world
SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.FirstName = 'Laura' AND T1.LastName = 'Callahan'	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Federal Shipping' AND T1.ShipVia = 3	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.Country = 'Finland'	retail_world
SELECT T2.CategoryName, T2.Description FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.ProductName = 'Mozzarella di Giovanni'	retail_world
SELECT DISTINCT T1.CompanyName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T3.Description = 'Cheeses'	retail_world
SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Zaanse Snoepfabriek'	retail_world
SELECT T1.UnitPrice FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Plutzer Lebensmittelgromrkte AG' AND T1.Discontinued = 1	retail_world
SELECT T1.ShipCity FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T3.ProductName = 'Mishi Kobe Niku'	retail_world
SELECT CAST(COUNT(CASE WHEN T1.ShipCountry = 'Sweden' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Speedy Express'	retail_world
SELECT COUNT(TerritoryID) FROM Territories WHERE RegionID = 1	retail_world
SELECT COUNT(TerritoryDescription) FROM Territories WHERE RegionID IN (1, 2, 3, 4) GROUP BY RegionID	retail_world
SELECT COUNT(SupplierID) FROM Suppliers WHERE Country = 'UK'	retail_world
SELECT ContactName FROM Suppliers WHERE CompanyName = 'Tokyo Traders'	retail_world
SELECT COUNT(Country) FROM Employees WHERE Country = 'USA' AND Title = 'Sales Representative'	retail_world
SELECT Salary, Title FROM Employees WHERE Salary = ( SELECT MAX(Salary) FROM Employees )	retail_world
SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName = 'Plutzer Lebensmittelgromrkte AG' AND T1.UnitsInStock = 0 AND T1.UnitsOnOrder = 0	retail_world
SELECT T1.ProductName, T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.UnitPrice DESC LIMIT 1	retail_world
SELECT T1.Title FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID GROUP BY T1.Title ORDER BY COUNT(T2.OrderID) LIMIT 1	retail_world
SELECT T2.ProductID FROM Customers AS T1 INNER JOIN `Order Details` AS T2 WHERE T1.Country = 'Germany' GROUP BY T2.ProductID ORDER BY COUNT(T2.ProductID) DESC LIMIT 1	retail_world
SELECT SUM(T2.Quantity * T2.UnitPrice) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Shippers AS T3 ON T1.ShipVia = T3.ShipperID WHERE T3.CompanyName = 'Speedy Express' AND T1.ShipCountry = 'Brazil'	retail_world
SELECT COUNT(T1.EmployeeID), SUM(T3.Quantity * T3.UnitPrice) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T1.ReportsTo = 2 ORDER BY SUM(T3.UnitPrice * T3.Quantity) DESC LIMIT 1	retail_world
SELECT SUM(T3.UnitPrice * T3.Quantity) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID WHERE T1.Title = 'Sales Representative' ORDER BY SUM(T3.UnitPrice * T3.Quantity)	retail_world
SELECT COUNT(T1.EmployeeID), T3.RegionID FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.Country = 'UK' GROUP BY T3.RegionID	retail_world
SELECT T1.CompanyName, T2.ShipCountry FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID GROUP BY T1.CompanyName, T2.ShipCountry ORDER BY COUNT(T3.ProductID) DESC LIMIT 1	retail_world
SELECT T1.CustomerID, T4.CategoryName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID INNER JOIN Categories AS T4 ON T3.CategoryID = T4.CategoryID ORDER BY T1.CustomerID DESC, T4.CategoryName DESC	retail_world
SELECT COUNT(T1.UnitPrice * T3.Quantity) FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID INNER JOIN `Order Details` AS T3 ON T1.ProductID = T3.ProductID WHERE T2.CategoryName = 'Confections' GROUP BY T3.Quantity ORDER BY T3.Quantity DESC LIMIT 1	retail_world
SELECT ProductName FROM Products WHERE ProductID = 77	retail_world
SELECT CompanyName FROM Suppliers WHERE Country = 'USA'	retail_world
SELECT Title FROM Employees WHERE FirstName = 'Laura' AND LastName = 'Callahan'	retail_world
SELECT DISTINCT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Customers AS T3 ON T2.CustomerID = T3.CustomerID WHERE T3.CompanyName = 'Victuailles en stock'	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'Federal Shipping'	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Morristown'	retail_world
SELECT DISTINCT T1.TerritoryDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Northern'	retail_world
SELECT COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Michael' AND T1.LastName = 'Suyama'	retail_world
SELECT CAST(( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Northern' ) AS REAL) * 100 / ( SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Westerns' ) AS Calu	retail_world
SELECT EmployeeID FROM EmployeeTerritories WHERE TerritoryID BETWEEN 1000 AND 2000	retail_world
SELECT T3.RegionID, T3.TerritoryDescription, T4.RegionDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T1.LastName = 'Davolio' AND T1.FirstName = 'Nancy'	retail_world
SELECT T1.FirstName, T1.LastName, COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.Title = 'Sales Representative' AND STRFTIME('%Y', T1.HireDate) = '1992' GROUP BY T1.EmployeeID, T1.FirstName, T1.LastName	retail_world
SELECT SUM(T2.UnitPrice * T2.Quantity * (1 - T2.Discount)) AS sum FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Vegie-spread'	retail_world
SELECT T1.CompanyName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN `Order Details` AS T3 ON T2.ProductID = T3.ProductID INNER JOIN Orders AS T4 ON T3.OrderID = T4.OrderID WHERE date(T4.OrderDate) = '1996-08-14'	retail_world
SELECT T2.ProductName, T1.CompanyName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN `Order Details` AS T3 ON T2.ProductID = T3.ProductID WHERE T3.OrderID = 10337 ORDER BY T2.ReorderLevel DESC LIMIT 1	retail_world
SELECT T1.CompanyName FROM Shippers AS T1 INNER JOIN Orders AS T2 ON T1.ShipperID = T2.ShipVia WHERE STRFTIME('%Y', T2.ShippedDate) = '1998' GROUP BY T1.CompanyName ORDER BY COUNT(T2.OrderID) DESC LIMIT 1	retail_world
SELECT COUNT(CustomerID) FROM Customers WHERE City = 'London'	retail_world
SELECT Title FROM Employees WHERE FirstName = 'Michael' AND LastName = 'Suyama'	retail_world
SELECT FirstName, LastName FROM Employees WHERE BirthDate = '1955-03-04 00:00:00'	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10250	retail_world
SELECT COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.City = 'Tacoma'	retail_world
SELECT T1.Country FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10257	retail_world
SELECT T1.Title FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10257	retail_world
SELECT T1.Phone FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10264	retail_world
SELECT T1.Region FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10276	retail_world
SELECT T1.FirstName, T1.LastName, AVG(T1.Salary) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.ShipCountry = 'Brazil' GROUP BY T1.FirstName, T1.LastName ORDER BY SUM(T1.Salary) DESC LIMIT 1	retail_world
SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', T2.ShippedDate) = '1996' THEN T1.Salary ELSE 0 END) AS REAL) * 100 / SUM(T1.Salary) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID	retail_world
SELECT T1.HireDate FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10281	retail_world
SELECT COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.ReportsTo = 5	retail_world
SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.OrderID = 10280	retail_world
SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10260	retail_world
SELECT COUNT(T1.OrderID) FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T2.CompanyName = 'United Package'	retail_world
SELECT T2.Phone FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10260	retail_world
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_orderkey = 5 AND l_returnflag = 'R'	retails
SELECT MAX(l_shipdate) FROM lineitem WHERE l_orderkey = 1	retails
SELECT l_orderkey FROM lineitem WHERE l_orderkey IN (4, 36) ORDER BY l_shipdate DESC LIMIT 1	retails
SELECT o_comment FROM orders WHERE o_totalprice = ( SELECT MAX(o_totalprice) FROM orders )	retails
SELECT c_phone FROM customer WHERE c_name = 'Customer#000000001'	retails
SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'HOUSEHOLD'	retails
SELECT MAX(T1.o_totalprice) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'HOUSEHOLD'	retails
SELECT T1.o_comment FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'HOUSEHOLD'	retails
SELECT T2.c_name FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey ORDER BY T1.o_totalprice DESC LIMIT 1	retails
SELECT T1.o_orderkey FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_acctbal < 0	retails
SELECT COUNT(T1.o_orderpriority) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'HOUSEHOLD' AND T1.o_orderpriority = '1-URGENT'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'BRAZIL'	retails
SELECT T1.c_phone FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'HOUSEHOLD' AND T2.n_name = 'BRAZIL'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'GERMANY' AND T1.c_acctbal > 1000	retails
SELECT COUNT(T2.c_custkey) FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN orders AS T3 ON T2.c_custkey = T3.o_custkey WHERE T1.n_name = 'GERMANY'	retails
SELECT SUM(T3.o_totalprice) FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN orders AS T3 ON T2.c_custkey = T3.o_custkey WHERE T1.n_name = 'GERMANY'	retails
SELECT T3.o_orderkey FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN orders AS T3 ON T2.c_custkey = T3.o_custkey WHERE T1.n_name = 'GERMANY' ORDER BY T3.o_orderdate LIMIT 1	retails
SELECT AVG(T3.o_totalprice) FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN orders AS T3 ON T2.c_custkey = T3.o_custkey WHERE T1.n_name = 'GERMANY'	retails
SELECT CAST(SUM(IIF(T2.n_name = 'GERMANY', 1, 0)) AS REAL) * 100 / COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey	retails
SELECT COUNT(n_nationkey) FROM nation WHERE n_regionkey = 2	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_suppkey = 34	retails
SELECT T3.r_name FROM nation AS T1 INNER JOIN supplier AS T2 ON T1.n_nationkey = T2.s_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.s_name = 'Supplier#000000129'	retails
SELECT T2.n_name FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_name = 'Customer#000000055'	retails
SELECT T3.r_name FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.c_custkey = 106936	retails
SELECT COUNT(T1.c_name) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'MOROCCO' AND T1.c_acctbal < 0	retails
SELECT T1.l_extendedprice * (1 - T1.l_discount) AS DISCOUNTERPRICE FROM lineitem AS T1 INNER JOIN orders AS T2 ON T2.o_orderkey = T1.l_orderkey WHERE T1.l_suppkey = 9397 AND T2.o_totalprice = 231499.38	retails
SELECT T2.l_suppkey FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_totalprice = 218195.43 AND T2.l_returnflag = 'R'	retails
SELECT T2.l_extendedprice * (1 - T2.l_discount) * (1 + T2.l_tax) AS num FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_clerk = 'Clerk#000000936' AND T2.l_shipmode = 'TRUCK' AND T1.o_orderstatus = '4-NOT SPECIFIED' AND T1.o_orderdate = '1995-03-13'	retails
SELECT JULIANDAY(T2.l_receiptdate) - JULIANDAY(T2.l_commitdate) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_custkey = '129301' AND T1.o_orderdate = '1996-07-27'	retails
SELECT T2.c_name FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_orderdate = '1997-12-10' AND T1.o_clerk = 'Clerk#000000803'	retails
SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey WHERE T1.l_suppkey = 7414 AND T1.l_orderkey = 817154	retails
SELECT T.n_name FROM ( SELECT T2.n_name, SUM(T1.s_acctbal) AS num FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0 GROUP BY T2.n_name ) AS T ORDER BY T.num LIMIT 1	retails
SELECT CAST(SUM(IIF(T2.r_name = 'EUROPE', 1, 0)) AS REAL) * 100 / COUNT(T1.n_name) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey	retails
SELECT CAST(SUM(IIF(T2.n_name = 'JAPAN', 1, 0)) AS REAL) * 100 / COUNT(T1.s_name) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0	retails
SELECT c_name FROM customer WHERE c_acctbal = ( SELECT MIN(c_acctbal) FROM customer )	retails
SELECT COUNT(l_orderkey) FROM lineitem WHERE STRFTIME('%Y', l_shipdate) = '1998'	retails
SELECT COUNT(c_custkey) FROM customer WHERE c_acctbal < 0	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_returnflag = 'R' AND l_shipmode = 'AIR' AND STRFTIME('%Y', l_shipdate) = '1994'	retails
SELECT COUNT(c_custkey) FROM customer WHERE c_mktsegment = 'AUTOMOBILE'	retails
SELECT l_orderkey FROM lineitem ORDER BY l_extendedprice DESC LIMIT 2	retails
SELECT T2.l_shipdate FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey ORDER BY T1.o_totalprice DESC LIMIT 1	retails
SELECT T.n_name FROM ( SELECT T2.n_name, COUNT(T1.c_custkey) AS num FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey GROUP BY T2.n_name ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT COUNT(T2.o_orderkey) FROM lineitem AS T1 INNER JOIN orders AS T2 ON T2.o_orderkey = T1.l_orderkey WHERE JULIANDAY(T1.l_shipdate) - JULIANDAY(T2.o_orderdate) = 1 AND T2.o_orderpriority = '1-URGENT'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_acctbal < 0 AND T1.c_mktsegment = 'HOUSEHOLD' AND T2.n_name = 'RUSSIA'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'JAPAN'	retails
SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'SHIP' AND T1.o_orderpriority = '3-MEDIUM'	retails
SELECT T.c_mktsegment FROM ( SELECT T1.c_mktsegment, COUNT(T1.c_custkey) AS num FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'UNITED STATES' GROUP BY T1.c_mktsegment ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT T1.n_name FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey WHERE T2.r_name = 'ASIA'	retails
SELECT T2.p_name FROM partsupp AS T1 INNER JOIN part AS T2 ON T1.ps_partkey = T2.p_partkey WHERE T1.ps_supplycost = 1000 AND T2.p_mfgr = 'Manufacturer#3'	retails
SELECT COUNT(T1.n_nationkey) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey WHERE T2.r_comment = 'asymptotes sublate after the r'	retails
SELECT COUNT(T1.ps_partkey) FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_mfgr = 'Manufacturer#5' AND T3.p_retailprice < 1000 AND T2.l_shipmode = 'RAIL'	retails
SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity AS num FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey INNER JOIN part AS T3 ON T2.ps_partkey = T3.p_partkey WHERE T1.l_receiptdate = '1996-05-07' AND T1.l_shipinstruct = 'DELIVER IN PERSON' AND T3.p_name = 'smoke turquoise purple blue salmon'	retails
SELECT SUM(T2.l_extendedprice) / 10 FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey ORDER BY T1.o_totalprice DESC LIMIT 10	retails
SELECT T.c_name, T.res FROM ( SELECT T2.c_name, SUM(T1.o_totalprice) / COUNT(T1.o_orderkey) AS res , COUNT(T1.o_orderkey) AS num FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey GROUP BY T1.o_custkey ) AS T ORDER BY T.num DESC LIMIT 3	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_shipdate = '1993-12-04'	retails
SELECT o_orderdate FROM orders WHERE o_totalprice = ( SELECT MAX(o_totalprice) FROM orders )	retails
SELECT CAST(SUM(IIF(c_acctbal < 0, 1, 0)) AS REAL) * 100 / COUNT(c_custkey) FROM customer	retails
SELECT COUNT(ps_suppkey) FROM partsupp WHERE ps_availqty < 10	retails
SELECT CAST(SUM(IIF(p_mfgr = 'Manufacturer#3', 1, 0)) AS REAL) * 100 / COUNT(p_partkey) FROM part	retails
SELECT p_name FROM part WHERE p_type = 'MEDIUM PLATED BRASS' LIMIT 5	retails
SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'AIR' AND T1.o_orderpriority = '1-URGENT' AND SUBSTR(T2.l_shipdate, 1, 7) = '1998-11'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'INDIA'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_acctbal < 0 AND T2.n_name = 'MOROCCO'	retails
SELECT T1.n_name, T1.n_nationkey FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey WHERE T2.r_name = 'AFRICA'	retails
SELECT SUM(T1.o_totalprice) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_name = 'Customer#000000013'	retails
SELECT COUNT(T2.o_orderkey), SUM(T3.l_extendedprice * (1 - T3.l_discount) * (1 + T3.l_tax)) FROM customer AS T1 INNER JOIN orders AS T2 ON T1.c_custkey = T2.o_custkey INNER JOIN lineitem AS T3 ON T2.o_orderkey = T3.l_orderkey WHERE T1.c_name = 'Customer#000021159' GROUP BY T3.l_linenumber	retails
SELECT SUM(T3.l_extendedprice * (1 - T3.l_discount) - T2.ps_supplycost * T3.l_quantity) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN lineitem AS T3 ON T2.ps_partkey = T3.l_partkey AND T2.ps_suppkey = T3.l_suppkey WHERE T1.p_name = 'chocolate floral blue coral cyan'	retails
SELECT CAST(SUM(IIF(T2.n_name = 'GERMANY', 1, 0)) AS REAL) * 100 / COUNT(T1.s_suppkey) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0	retails
SELECT T3.s_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_name = 'smoke red pale saddle plum'	retails
SELECT COUNT(T3.s_name) FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey INNER JOIN supplier AS T3 ON T2.n_nationkey = T3.s_nationkey WHERE T3.s_acctbal < 0 AND T1.r_name = 'MIDDLE EAST'	retails
SELECT T2.p_name FROM partsupp AS T1 INNER JOIN part AS T2 ON T1.ps_partkey = T2.p_partkey INNER JOIN lineitem AS T3 ON T1.ps_partkey = T3.l_partkey WHERE T3.l_discount = 0.1 AND T3.l_shipdate = '1995-12-01' AND T3.l_shipmode = 'RAIL'	retails
SELECT T2.p_name FROM partsupp AS T1 INNER JOIN part AS T2 ON T1.ps_partkey = T2.p_partkey INNER JOIN supplier AS T3 ON T1.ps_suppkey = T3.s_suppkey WHERE T1.ps_supplycost > 900 AND T3.s_name = 'Supplier#000000018'	retails
SELECT COUNT(l_orderkey) FROM lineitem WHERE STRFTIME('%Y', l_shipdate) = '1994'	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_quantity < 30 AND l_shipmode = 'RAIL'	retails
SELECT COUNT(c_custkey) FROM customer WHERE c_mktsegment = 'FURNITURE' AND c_nationkey = 1	retails
SELECT c_phone FROM customer ORDER BY c_acctbal DESC LIMIT 1	retails
SELECT o_orderpriority FROM orders WHERE o_totalprice = ( SELECT MAX(o_totalprice) FROM orders )	retails
SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey INNER JOIN nation AS T3 ON T2.c_nationkey = T3.n_nationkey WHERE T3.n_name = 'UNITED STATES'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'AUTOMOBILE' AND T2.n_name = 'BRAZIL'	retails
SELECT T1.o_comment FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'Furniture' LIMIT 5	retails
SELECT T1.n_name FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey WHERE T2.r_name = 'ASIA'	retails
SELECT T1.n_name FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey WHERE T2.r_comment = 'furiously express accounts wake sly'	retails
SELECT COUNT(T1.s_suppkey) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T2.n_name = 'GERMANY'	retails
SELECT COUNT(T1.n_name) FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.c_acctbal < 0 AND T3.r_name = 'ASIA'	retails
SELECT T2.c_phone FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey ORDER BY T1.o_totalprice DESC LIMIT 1	retails
SELECT COUNT(T1.ps_suppkey) FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_retailprice > 1000 AND T2.l_shipmode = 'SHIP'	retails
SELECT T2.c_name, T2.c_mktsegment FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_totalprice = 199180.63	retails
SELECT T1.n_name, T3.r_name FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.c_address = 'wH55UnX7 VI'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'BRAZIL' AND T1.c_acctbal < 1000	retails
SELECT T2.n_name FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey INNER JOIN ( SELECT AVG(c_acctbal) * 0.8 AS avg_acctbal FROM customer ) AS T3 WHERE T1.c_acctbal > T3.avg_acctbal	retails
SELECT CAST(SUM(IIF(T2.n_name = 'United States', 1, 0)) AS REAL) * 100 / COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_acctbal < 4000	retails
SELECT c_name, c_phone FROM customer WHERE c_acctbal > 9000	retails
SELECT AVG(l_linenumber) FROM lineitem WHERE l_shipdate BETWEEN '1994-01-01' AND '1994-01-30'	retails
SELECT o_orderkey FROM orders WHERE o_totalprice BETWEEN 200000 AND 300000	retails
SELECT p_partkey FROM part WHERE p_retailprice > ( SELECT AVG(p_retailprice) FROM part )	retails
SELECT CAST(SUM(IIF(ps_supplycost > 500, 1, 0)) AS REAL) * 100 / COUNT(ps_suppkey) FROM partsupp	retails
SELECT s_suppkey, s_acctbal FROM supplier ORDER BY s_acctbal DESC LIMIT 10	retails
SELECT COUNT(T2.c_custkey) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_acctbal > 0 AND T1.o_orderpriority = '1-URGENT'	retails
SELECT T1.c_name, T1.c_phone FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_acctbal > ( SELECT AVG(c_acctbal) FROM customer ) ORDER BY T1.c_name	retails
SELECT T2.ps_partkey FROM supplier AS T1 INNER JOIN partsupp AS T2 ON T1.s_suppkey = T2.ps_suppkey WHERE T1.s_name = 'Supplier#000000654' ORDER BY T2.ps_supplycost DESC LIMIT 5	retails
SELECT CAST(SUM(IIF(T1.c_mktsegment = 'AUTOMOBILE', 1, 0)) AS REAL) * 100 / COUNT(T1.c_name) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'FRANCE'	retails
SELECT T.p_name FROM ( SELECT T3.p_name , T2.l_extendedprice * (1 - T2.l_discount) - T1.ps_supplycost * T2.l_quantity AS num FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT T2.n_name FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey GROUP BY T2.n_name HAVING COUNT(T1.c_name) > ( SELECT COUNT(customer.c_name) / COUNT(DISTINCT nation.n_name) FROM customer INNER JOIN nation ON customer.c_nationkey = nation.n_nationkey ) ORDER BY COUNT(T1.c_name)	retails
SELECT CAST(SUM(IIF(T2.r_name = 'AFRICA', 1, 0)) AS REAL) * 100 / COUNT(T1.n_nationkey) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey INNER JOIN customer AS T3 ON T1.n_nationkey = T3.c_nationkey WHERE T3.c_mktsegment = 'HOUSEHOLD'	retails
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey ORDER BY T2.ps_availqty DESC LIMIT 10	retails
SELECT (CAST(SUM(IIF(T3.l_shipmode = 'SHIP', T1.p_retailprice, 0)) AS REAL) / SUM(IIF(T3.l_shipmode = 'SHIP', 1, 0))) - (CAST(SUM(IIF(T3.l_shipmode = 'AIR', T1.p_retailprice, 0)) AS REAL) / SUM(IIF(T3.l_shipmode = 'AIR', 1, 0))) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN lineitem AS T3 ON T2.ps_suppkey = T3.l_suppkey	retails
SELECT AVG(T3.l_discount) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN lineitem AS T3 ON T2.ps_suppkey = T3.l_suppkey WHERE T1.p_mfgr = 'Manufacturer#5'	retails
SELECT COUNT(T2.l_partkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'RAIL' AND T1.o_orderpriority = '3-MEDIUM'	retails
SELECT CAST(SUM(IIF(T3.s_acctbal < ( SELECT AVG(supplier.s_acctbal) FROM supplier ), 1, 0)) AS REAL) * 100 / COUNT(T1.n_nationkey) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey INNER JOIN supplier AS T3 ON T1.n_nationkey = T3.s_nationkey WHERE T2.r_name = 'EUROPE'	retails
SELECT (CAST(SUM(IIF(STRFTIME('%Y', T2.l_shipdate) = 1995, 1, 0)) AS REAL) / 12) - (CAST(SUM(IIF(STRFTIME('%Y', T2.l_shipdate) = 1996, 1, 0)) AS REAL) / 12) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderpriority = '5-LOW' AND T2.l_shipmode = 'TRUCK'	retails
SELECT c_custkey FROM customer WHERE c_acctbal < 0	retails
SELECT l_orderkey FROM lineitem ORDER BY l_extendedprice * (1 - l_discount) LIMIT 3	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_quantity > 10 AND l_returnflag = 'R'	retails
SELECT l_extendedprice * (1 - l_discount) * (1 + l_tax) AS totalprice FROM lineitem WHERE l_shipmode = 'AIR' AND l_shipinstruct = 'NONE'	retails
SELECT COUNT(o_orderkey) FROM orders WHERE o_orderpriority = '1-URGENT' GROUP BY o_orderdate ORDER BY o_orderdate DESC LIMIT 1	retails
SELECT COUNT(T1.s_suppkey) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0 AND T2.n_name = 'EGYPT'	retails
SELECT COUNT(T1.o_orderkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'REG AIR' AND T1.o_orderdate = '1995-03-22'	retails
SELECT COUNT(T1.n_nationkey) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey INNER JOIN supplier AS T3 ON T1.n_nationkey = T3.s_nationkey WHERE T2.r_name = 'EUROPE'	retails
SELECT T.c_mktsegment FROM ( SELECT T2.c_mktsegment, COUNT(T1.o_orderkey) AS num FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_orderdate LIKE '1994-04-%' GROUP BY T1.o_custkey ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT T3.p_name FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T2.s_name = 'Supplier#000000034'	retails
SELECT T2.ps_supplycost FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T1.p_type = 'LARGE BURNISHED COPPER'	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey INNER JOIN orders AS T3 ON T1.c_custkey = T3.o_custkey WHERE T2.n_name = 'MOZAMBIQUE' AND T3.o_orderpriority = '5-LOW'	retails
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T2.ps_availqty < 10 ORDER BY T2.ps_supplycost LIMIT 1	retails
SELECT COUNT(T1.o_clerk) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_address = 'uFTe2u518et8Q8UC'	retails
SELECT T3.p_name FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T2.l_discount = 0.0000	retails
SELECT COUNT(T1.s_suppkey) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T2.n_name = 'GERMANY' AND T1.s_comment LIKE '%carefully regular packages%'	retails
SELECT COUNT(T2.l_partkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderdate = '1994-09-21' AND T2.l_shipdate = '1994-11-19'	retails
SELECT SUM(T2.l_extendedprice * (1 - T2.l_discount) - T1.ps_supplycost * T2.l_quantity) / COUNT(T1.ps_partkey) FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_type = 'PROMO BRUSHED STEEL'	retails
SELECT CAST(SUM(IIF(T2.n_name = 'IRAN', 1, 0)) AS REAL) * 100 / COUNT(T2.n_name) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'HOUSEHOLD'	retails
SELECT c_mktsegment, c_name, c_address, c_phone FROM customer WHERE c_custkey = 3	retails
SELECT l_linenumber FROM lineitem WHERE l_discount = 0.1 LIMIT 3	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_quantity > 40 AND l_shipmode = 'AIR'	retails
SELECT IIF(SUM(IIF(l_shipmode = 'RAIL', 1, 0)) - SUM(IIF(l_shipmode = 'MAIL', 1, 0)), 'RAIL', 'MAIL') AS result FROM lineitem WHERE l_shipinstruct = 'DELIVER IN PERSON'	retails
SELECT o_totalprice, o_orderpriority FROM orders WHERE o_orderkey = 33	retails
SELECT COUNT(o_orderkey) AS countorders FROM orders WHERE STRFTIME('%Y', o_orderdate) = '1998' AND o_totalprice < 950	retails
SELECT c_name FROM customer WHERE c_acctbal < 0 LIMIT 3	retails
SELECT l_extendedprice * (1 - l_discount) FROM lineitem WHERE l_linenumber = 1	retails
SELECT SUM(IIF(l_returnflag = 'A', 1, 0)) - SUM(IIF(l_returnflag = 'N', 1, 0)) AS diff FROM lineitem WHERE l_extendedprice < 16947.7	retails
SELECT T2.ps_supplycost FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T1.p_type = 'large plated tin'	retails
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T2.ps_availqty > 9998 LIMIT 3	retails
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T2.ps_supplycost < 10 AND T1.p_container = 'WRAP BAG' LIMIT 2	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_suppkey = 1	retails
SELECT T2.n_name FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey WHERE T1.r_name = 'Africa'	retails
SELECT T.r_name FROM ( SELECT T1.r_name, COUNT(T2.n_name) AS num FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey GROUP BY T1.r_name ) AS T ORDER BY T.num LIMIT 1	retails
SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'FURNITURE' AND T2.n_name = 'IRAQ'	retails
SELECT T2.c_name FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_totalprice = 191918.92 AND T1.o_custkey = 93697	retails
SELECT T1.n_name, T3.r_name FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.c_name = 'Customer#000000008'	retails
SELECT JULIANDAY(T2.l_receiptdate) - JULIANDAY(T2.l_commitdate), T1.o_clerk FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderkey = 6	retails
SELECT COUNT(T1.s_suppkey) FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0 AND T2.n_name = 'JAPAN'	retails
SELECT c_name FROM customer WHERE c_acctbal = ( SELECT MIN(c_acctbal) FROM customer )	retails
SELECT o_orderdate FROM orders WHERE o_orderpriority = '1-URGENT'	retails
SELECT COUNT(l_linenumber) FROM lineitem WHERE l_shipinstruct = 'DELIVER IN PERSON'	retails
SELECT MAX(s_acctbal) FROM supplier	retails
SELECT COUNT(ps_suppkey) FROM partsupp WHERE ps_availqty < 10	retails
SELECT T2.n_name FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey WHERE T1.r_name = 'EUROPE'	retails
SELECT T2.ps_supplycost FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T1.p_name = 'violet olive rose ivory sandy'	retails
SELECT T1.c_phone FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'Ethiopia'	retails
SELECT SUM(T1.o_totalprice) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_phone = '627-220-3983'	retails
SELECT DISTINCT T2.l_shipmode FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderdate = '1994-12-31'	retails
SELECT T.s_acctbal FROM ( SELECT T1.s_acctbal, COUNT(T2.ps_suppkey) AS num FROM supplier AS T1 INNER JOIN partsupp AS T2 ON T1.s_suppkey = T2.ps_suppkey GROUP BY T1.s_suppkey ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal = 4393.04	retails
SELECT T.r_name FROM ( SELECT T3.r_name, COUNT(T2.c_custkey) AS num FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey GROUP BY T3.r_name ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT T2.c_phone FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_totalprice > 300000	retails
SELECT T1.o_clerk FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T2.l_shipmode = 'MAIL'	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey ORDER BY T1.s_acctbal LIMIT 1	retails
SELECT T2.s_address FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey ORDER BY T3.p_size DESC LIMIT 1	retails
SELECT T3.p_name, T4.s_name FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey INNER JOIN supplier AS T4 ON T1.ps_suppkey = T4.s_suppkey ORDER BY T2.l_extendedprice * (1 - T2.l_discount) - T1.ps_supplycost * T2.l_quantity DESC LIMIT 1	retails
SELECT CAST(SUM(IIF(T1.r_name = 'ASIA', 1, 0)) AS REAL) * 100 / COUNT(T1.r_regionkey) FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey INNER JOIN supplier AS T3 ON T2.n_nationkey = T3.s_nationkey	retails
SELECT o_totalprice FROM orders WHERE o_orderkey = 32	retails
SELECT COUNT(l_orderkey) FROM lineitem WHERE l_discount = 0	retails
SELECT l_linenumber FROM lineitem WHERE STRFTIME('%Y', l_shipdate) < 1997 AND l_shipmode = 'truck'	retails
SELECT l_linenumber FROM lineitem WHERE STRFTIME('%Y', l_shipdate) < 1997 AND l_shipmode = 'TRUCK'	retails
SELECT l_linenumber FROM lineitem WHERE l_shipmode = 'AIR' ORDER BY l_quantity DESC LIMIT 1	retails
SELECT c_name FROM customer WHERE c_acctbal < 0	retails
SELECT COUNT(T1.c_name) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'HOUSEHOLD' AND T2.n_name = 'GERMANY'	retails
SELECT T2.c_phone FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_orderpriority = '1-URGENT'	retails
SELECT T3.c_name FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey INNER JOIN customer AS T3 ON T1.o_custkey = T3.c_custkey ORDER BY T2.l_discount DESC LIMIT 1	retails
SELECT T1.o_orderkey, T2.l_shipdate FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey ORDER BY T1.o_totalprice DESC LIMIT 5	retails
SELECT T1.o_comment FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'FURNITURE'	retails
SELECT T2.c_name FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T1.o_totalprice > 300000	retails
SELECT T1.c_name FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_acctbal > 5000 AND T2.n_name = 'INDIA'	retails
SELECT T1.s_phone FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T2.n_name = 'JAPAN'	retails
SELECT T1.s_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0 AND T2.n_name = 'ARGENTINA'	retails
SELECT COUNT(T1.r_name) FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey WHERE T2.n_name = 'ALGERIA'	retails
SELECT T3.c_name FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey INNER JOIN customer AS T3 ON T1.o_custkey = T3.c_custkey WHERE T2.l_discount = 0.1 AND STRFTIME('%Y', T1.o_orderdate) BETWEEN 1994 AND 1995	retails
SELECT CAST(SUM(IIF(T1.r_name = 'America', 1, 0)) AS REAL) * 100 / COUNT(T2.n_name) FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey	retails
SELECT CAST(SUM(IIF(T1.c_mktsegment = 'HOUSEHOLD', 1, 0)) AS REAL) * 100 / COUNT(T1.c_mktsegment) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'INDONESIA'	retails
SELECT p_name FROM part WHERE p_type = 'PROMO BRUSHED STEEL'	retails
SELECT p_comment FROM part WHERE p_name = 'burlywood plum powder puff mint'	retails
SELECT COUNT(p_partkey) FROM part WHERE p_retailprice > 1900	retails
SELECT COUNT(p_partkey) FROM part WHERE p_type = 'PROMO BRUSHED STEEL' AND p_mfgr = 'Manufacturer#5'	retails
SELECT p_brand FROM part WHERE p_type = 'PROMO BRUSHED STEEL'	retails
SELECT p_name FROM part WHERE p_retailprice = ( SELECT MAX(p_retailprice) FROM part )	retails
SELECT T.p_name FROM ( SELECT p_name, p_size FROM part WHERE p_name IN ('pink powder drab lawn cyan', 'cornflower sky burlywood green beige') ) AS T ORDER BY p_size DESC LIMIT 1	retails
SELECT COUNT(p_partkey) FROM part WHERE p_container = 'JUMBO CASE'	retails
SELECT MIN(p_size) FROM part WHERE p_container = 'JUMBO CASE'	retails
SELECT COUNT(s_suppkey) FROM supplier WHERE s_acctbal < 0	retails
SELECT s_name FROM supplier ORDER BY s_acctbal DESC LIMIT 3	retails
SELECT T1.s_phone FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T2.n_name = 'Germany'	retails
SELECT T2.s_name FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light'	retails
SELECT MIN(T1.ps_supplycost) FROM partsupp AS T1 INNER JOIN part AS T2 ON T1.ps_partkey = T2.p_partkey WHERE T2.p_name = 'hot spring dodger dim light'	retails
SELECT T2.s_name FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light' ORDER BY T1.ps_supplycost LIMIT 1	retails
SELECT SUM(T1.ps_availqty) FROM partsupp AS T1 INNER JOIN part AS T2 ON T1.ps_partkey = T2.p_partkey WHERE T2.p_name = 'hot spring dodger dim light'	retails
SELECT T3.s_phone FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_name = 'hot spring dodger dim light' ORDER BY T2.ps_availqty DESC LIMIT 1	retails
SELECT T3.s_phone FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_name = 'hot spring dodger dim light' ORDER BY T1.p_size DESC LIMIT 1	retails
SELECT COUNT(T3.s_name) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey INNER JOIN nation AS T4 ON T3.s_nationkey = T4.n_nationkey WHERE T1.p_name = 'hot spring dodger dim light' AND T4.n_name = 'VIETNAM'	retails
SELECT COUNT(T3.s_name) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T3.s_acctbal < 0 AND T1.p_type = 'PROMO BRUSHED STEEL'	retails
SELECT T3.s_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_brand = 'Brand#55'	retails
SELECT SUM(num) FROM ( SELECT COUNT(T3.s_name) AS num FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_type = 'PROMO BRUSHED STEEL' GROUP BY T2.ps_partkey HAVING SUM(T2.ps_availqty) < 5000 ) T	retails
SELECT COUNT(T1.p_partkey) FROM part AS T1 INNER JOIN lineitem AS T2 ON T1.p_partkey = T2.l_partkey WHERE T1.p_name = 'hot spring dodger dim light'	retails
SELECT SUM(T1.p_partkey) FROM part AS T1 INNER JOIN lineitem AS T2 ON T1.p_partkey = T2.l_partkey WHERE T1.p_name = 'hot spring dodger dim light'	retails
SELECT T.l_orderkey FROM ( SELECT T2.l_orderkey, COUNT(T2.l_partkey) AS num FROM part AS T1 INNER JOIN lineitem AS T2 ON T1.p_partkey = T2.l_partkey WHERE T1.p_container = 'JUMBO CASE' GROUP BY T2.l_orderkey ) AS T WHERE T.num > 2	retails
SELECT COUNT(T1.n_nationkey) FROM nation AS T1 INNER JOIN region AS T2 ON T1.n_regionkey = T2.r_regionkey INNER JOIN supplier AS T3 ON T1.n_nationkey = T3.s_nationkey WHERE T2.r_name = 'EUROPE' AND T3.s_acctbal < 0	retails
SELECT COUNT(T1.r_regionkey) FROM region AS T1 INNER JOIN nation AS T2 ON T1.r_regionkey = T2.n_regionkey INNER JOIN supplier AS T3 ON T2.n_nationkey = T3.s_nationkey WHERE T1.r_name = 'EUROPE'	retails
SELECT T2.s_phone FROM lineitem AS T1 INNER JOIN supplier AS T2 ON T1.l_suppkey = T2.s_suppkey WHERE T1.l_orderkey = 1	retails
SELECT COUNT(T1.l_linenumber) FROM lineitem AS T1 INNER JOIN supplier AS T2 ON T1.l_suppkey = T2.s_suppkey WHERE T1.l_orderkey = 4 AND T2.s_acctbal < 0	retails
SELECT COUNT(T1.l_partkey) FROM lineitem AS T1 INNER JOIN supplier AS T2 ON T1.l_suppkey = T2.s_suppkey WHERE T1.l_returnflag = 'R' AND T2.s_acctbal < 0	retails
SELECT T1.l_shipdate FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T1.l_orderkey = 1 AND T2.p_name = 'burnished seashell gainsboro navajo chocolate'	retails
SELECT T1.l_quantity FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T1.l_orderkey = 1 AND T2.p_name = 'burnished seashell gainsboro navajo chocolate'	retails
SELECT T.p_name FROM ( SELECT T2.p_name, SUM(T1.l_quantity) AS num FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T2.p_name IN ('salmon white grey tan navy', 'burnished seashell gainsboro navajo chocolate') GROUP BY T1.l_partkey ) AS T ORDER BY T.num DESC LIMIT 1	retails
SELECT MAX(T1.l_discount) FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T2.p_name = 'burnished seashell gainsboro navajo chocolate'	retails
SELECT DISTINCT T1.l_shipmode FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T2.p_name = 'burnished seashell gainsboro navajo chocolate'	retails
SELECT AVG(T1.ps_supplycost) FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light'	retails
SELECT CAST((MAX(T1.ps_supplycost) - MIN(T1.ps_supplycost)) AS REAL) * 100 / MIN(T1.ps_supplycost) FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light'	retails
SELECT T1.l_extendedprice * (1 - T1.l_discount) - T2.ps_supplycost * T1.l_quantity FROM lineitem AS T1 INNER JOIN partsupp AS T2 ON T1.l_suppkey = T2.ps_suppkey WHERE T1.l_orderkey = 1 AND T1.l_partkey = 98768	retails
SELECT T1.l_extendedprice * (1 - T1.l_discount) FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T2.p_name = 'burnished seashell gainsboro navajo chocolate' AND T1.l_orderkey = 1	retails
SELECT c_mktsegment FROM customer WHERE c_acctbal = ( SELECT MIN(c_acctbal) FROM customer )	retails
SELECT COUNT(l_orderkey) FROM lineitem WHERE STRFTIME('%Y', l_shipdate) = '1997' AND l_shipmode = 'MAIL'	retails
SELECT COUNT(c_custkey) FROM customer WHERE c_mktsegment = 'FURNITURE'	retails
SELECT COUNT(l_orderkey) FROM lineitem WHERE STRFTIME('%Y', l_shipdate) = '1994' AND l_returnflag = 'R' AND l_shipmode = 'TRUCK'	retails
SELECT COUNT(c_custkey) FROM customer WHERE c_acctbal < 0 AND c_mktsegment = 'MACHINERY'	retails
SELECT COUNT(o_orderkey) FROM orders WHERE STRFTIME('%Y', o_orderdate) = '1997' AND o_clerk = 'Clerk#000000001' AND o_orderpriority = '1-URGENT'	retails
SELECT T3.c_name FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey INNER JOIN customer AS T3 ON T1.o_custkey = T3.c_custkey ORDER BY (JULIANDAY(T2.l_receiptdate) - JULIANDAY(T2.l_commitdate)) DESC LIMIT 1	retails
SELECT SUM(T3.o_totalprice) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey INNER JOIN orders AS T3 ON T1.c_custkey = T3.o_custkey WHERE T2.n_name = 'ARGENTINA'	retails
SELECT COUNT(T2.c_name) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_mktsegment = 'BUILDING' AND T1.o_totalprice > 50000	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey GROUP BY T1.s_nationkey ORDER BY COUNT(T1.s_name) LIMIT 1	retails
SELECT T2.ps_supplycost FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T1.p_name = 'medium metallic grey dodger linen'	retails
SELECT T.n_name FROM ( SELECT T2.n_name, SUM(T1.s_acctbal) AS num FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey WHERE T1.s_acctbal < 0 GROUP BY T1.s_nationkey ) AS T ORDER BY T.num LIMIT 2	retails
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T2.ps_supplycost > 1000	retails
SELECT T2.n_name FROM supplier AS T1 INNER JOIN nation AS T2 ON T1.s_nationkey = T2.n_nationkey ORDER BY T1.s_suppkey DESC LIMIT 1	retails
SELECT T1.o_clerk FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey ORDER BY T2.l_extendedprice DESC LIMIT 1	retails
SELECT SUM(T2.l_quantity) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderdate = '1995-10-05' AND T1.o_custkey = 101660	retails
SELECT SUM(T2.l_extendedprice * (1 - T2.l_discount) * (1 + T2.l_tax)) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_custkey = 88931 AND T1.o_orderdate = '1994-07-13'	retails
SELECT T3.p_name FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey INNER JOIN part AS T3 ON T2.l_partkey = T3.p_partkey WHERE T1.o_custkey = 110942	retails
SELECT T2.l_extendedprice * (1 - T2.l_discount), T3.p_name FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey INNER JOIN part AS T3 ON T2.l_partkey = T3.p_partkey WHERE T1.o_custkey = 111511 AND T1.o_orderkey = 53159	retails
SELECT T2.height_in_inch FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T1.PlayerName = 'David Bornhammar'	ice_hockey_draft
SELECT DISTINCT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"'	ice_hockey_draft
SELECT COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '6''2"' AND T1.nation = 'Sweden'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id ORDER BY T2.height_in_cm DESC LIMIT 1	ice_hockey_draft
SELECT T2.weight_in_kg FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.PlayerName = 'David Bornhammar'	ice_hockey_draft
SELECT COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90	ice_hockey_draft
SELECT COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90 AND T1.position_info = 'D'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90 AND T1.sum_7yr_GP = ( SELECT MAX(T1.sum_7yr_GP) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90 )	ice_hockey_draft
SELECT T2.weight_in_kg FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.sum_7yr_TOI = ( SELECT MAX(t.sum_7yr_TOI) FROM PlayerInfo t )	ice_hockey_draft
SELECT ( SELECT T2.height_in_cm FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T1.PlayerName = 'David Bornhammar' ) - ( SELECT T2.height_in_cm FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T1.PlayerName = 'Pauli Levokari' )	ice_hockey_draft
SELECT COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90 AND T1.shoots = 'R'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_kg > 90 AND T1.shoots = 'R'	ice_hockey_draft
SELECT CAST(T2.weight_in_kg AS REAL) / (CAST(T3.height_in_cm AS REAL) / 100 * (CAST(T3.height_in_cm AS REAL) / 100)) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id INNER JOIN height_info AS T3 ON T1.height = T3.height_id WHERE T1.PlayerName = 'David Bornhammar'	ice_hockey_draft
SELECT CAST(SUM(T2.height_in_cm) AS REAL) / COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T1.position_info = 'D'	ice_hockey_draft
SELECT MAX(T2.weight_in_lbs) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id	ice_hockey_draft
SELECT COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch = '5''7"' AND T1.shoots = 'R'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.sum_7yr_GP > 500 ORDER BY T2.PIM DESC LIMIT 1	ice_hockey_draft
SELECT T2.height_in_cm FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T1.birthplace = 'Edmonton, AB, CAN' ORDER BY T2.height_in_cm DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(DISTINCT T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.overallby = 'Anaheim Ducks' AND T1.draftyear = 2008 AND T2.TEAM = 'U.S. National U18 Team'	ice_hockey_draft
SELECT T3.weight_in_kg FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN weight_info AS T3 ON T2.weight = T3.weight_id ORDER BY T1.PLUSMINUS DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON BETWEEN '2004' AND '2005' AND T1.LEAGUE = 'QMJHL' ORDER BY T1.P DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '1998-1999' AND T1.GAMETYPE = 'Regular Season' AND T1.TEAM = 'Acadie-Bathurst Titan'	ice_hockey_draft
SELECT T1.GP FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.ELITEID = ( SELECT t.ELITEID FROM PlayerInfo t ORDER BY t.height DESC LIMIT 1 )	ice_hockey_draft
SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '1997-1998' AND T1.LEAGUE = 'OHL' ORDER BY T2.birthdate DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(T2.ELITEID) FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.GP = 72 AND T2.shoots = 'L'	ice_hockey_draft
SELECT T3.Rs_G - T4.Pf_G AS diff FROM ( SELECT T2.PlayerName, T1.G AS Rs_G FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Pavel Brendl' AND T1.SEASON = '1998-1999' AND T1.GAMETYPE = 'Regular Season' ) AS T3 INNER JOIN ( SELECT T2.PlayerName, T1.G AS Pf_G FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Pavel Brendl' AND T1.SEASON = '1998-1999' AND T1.GAMETYPE = 'Playoffs' ) AS T4 ON T3.PlayerName = T4.PlayerName	ice_hockey_draft
SELECT CAST(SUM(T2.weight_in_lbs) AS REAL) / COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.CSS_rank = ( SELECT MAX(CSS_rank) FROM PlayerInfo )	ice_hockey_draft
SELECT CAST(COUNT(CASE WHEN GP > 20 THEN TEAM ELSE NULL END) AS REAL) * 100 / COUNT(TEAM) FROM SeasonStatus WHERE SEASON = '2007-2008' AND GAMETYPE = 'Playoffs'	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2007-2008' AND T1.LEAGUE = 'WHL' ORDER BY T1.G DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.TEAM = 'Chilliwack Chiefs' AND T1.P >= 100	ice_hockey_draft
SELECT T2.PlayerName FROM weight_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.weight_id = T2.weight WHERE T1.weight_in_kg = 120	ice_hockey_draft
SELECT T2.PlayerName, T1.height_in_cm FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T2.height = ( SELECT height FROM PlayerInfo WHERE PlayerName = 'Brian Gionta' )	ice_hockey_draft
SELECT T2.PlayerName, T2.position_info FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.PIM = ( SELECT MAX(PIM) FROM SeasonStatus )	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.P = ( SELECT MAX(P) FROM SeasonStatus )	ice_hockey_draft
SELECT CAST(COUNT(CASE WHEN nation IN ('Belarus', 'Czech Rep.', 'Slovakia', 'Ukraine') THEN ELITEID ELSE NULL END) AS REAL) * 100 / COUNT(ELITEID) FROM PlayerInfo WHERE overallby = 'Toronto Maple Leafs'	ice_hockey_draft
SELECT PlayerName FROM PlayerInfo WHERE overallby = 'Toronto Maple Leafs' AND draftyear = '2008' ORDER BY CSS_rank DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName, T1.TEAM FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2006-2007' AND T1.GAMETYPE = 'Playoffs' AND T1.LEAGUE = 'SuperElit' ORDER BY T1.P DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(ELITEID) FROM PlayerInfo WHERE overallby = 'Toronto Maple Leafs' AND sum_7yr_GP > 300	ice_hockey_draft
SELECT T3.height_in_cm FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN height_info AS T3 ON T2.height = T3.height_id WHERE T1.SEASON = '2005-2006' AND T1.TEAM = 'Yale Univ.' AND T1.PIM = 28	ice_hockey_draft
SELECT CAST(SUM(CASE WHEN T2.PlayerName = 'Ian Schultz' THEN T1.G ELSE 0 END) AS REAL) * 100 / SUM(T1.G) FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2007-2008' AND T1.TEAM = 'Calgary Hitmen'	ice_hockey_draft
SELECT CAST(SUM(CASE WHEN T2.PlayerName = 'Yevgeni Muratov' THEN T1.PIM ELSE 0 END) AS REAL) * 100 / SUM(T1.PIM) FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '1999-2000' AND T1.TEAM = 'Ak Bars Kazan'	ice_hockey_draft
SELECT birthplace FROM PlayerInfo WHERE PlayerName = 'Aaron Gagnon'	ice_hockey_draft
SELECT T2.weight_in_kg FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.PlayerName = 'Tony Martensson'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T2.weight_in_lbs = 190	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id ORDER BY T2.weight_in_kg DESC LIMIT 1	ice_hockey_draft
SELECT CAST(COUNT(CASE WHEN T1.nation = 'Denmark' AND T2.weight_in_lbs > 154 THEN T1.ELITEID ELSE NULL END) AS REAL) * 100 / COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id	ice_hockey_draft
SELECT DISTINCT T1.TEAM FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Andreas Jamtin'	ice_hockey_draft
SELECT DISTINCT T1.SEASON FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Niklas Eckerblom'	ice_hockey_draft
SELECT DISTINCT T1.GAMETYPE FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Matthias Trattnig'	ice_hockey_draft
SELECT DISTINCT T2.nation FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '1997-1998'	ice_hockey_draft
SELECT T1.P FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Per Mars' ORDER BY T1.P DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T2.nation = 'Italy' ORDER BY T1.height_in_cm ASC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T1.height_in_inch = '5''8"'	ice_hockey_draft
SELECT COUNT(T2.ELITEID) FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T1.height_in_cm > 182 AND strftime('%Y', T2.birthdate) = '1982'	ice_hockey_draft
SELECT CAST(COUNT(CASE WHEN T1.height_in_cm < 200 AND T2.nation = 'Russia' THEN T2.ELITEID ELSE NULL END) AS REAL) * 100 / COUNT(T2.ELITEID) FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height	ice_hockey_draft
SELECT T2.PlayerName FROM weight_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.weight_id = T2.weight WHERE T2.nation = 'USA' ORDER BY T1.weight_in_lbs ASC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' ORDER BY T1.PIM DESC LIMIT 1	ice_hockey_draft
SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.TEAM = 'Avangard Omsk'	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.overallby = 'Arizona Coyotes' AND T2.draftyear = 2000 ORDER BY T1.PIM DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(T2.ELITEID) FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T2.overallby = 'Arizona Coyotes' AND T1.height_in_cm = 195	ice_hockey_draft
SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.TEAM = 'Avangard Omsk' AND T1.GAMETYPE = 'Playoffs'	ice_hockey_draft
SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.LEAGUE = 'International' ORDER BY T1.P DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(T2.ELITEID) FROM weight_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.weight_id = T2.weight WHERE T1.weight_in_lbs = 185 AND strftime('%Y', T2.birthdate) = '1980'	ice_hockey_draft
SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.LEAGUE = 'International' ORDER BY T1.GP DESC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.LEAGUE = 'International' AND T1.TEAM = 'Czech Republic (all)' AND T1.G = 0	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.GAMETYPE = 'Regular Season' AND T1.TEAM = 'Avangard Omsk' ORDER BY T2.birthdate ASC LIMIT 1	ice_hockey_draft
SELECT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2007-2008' AND T1.LEAGUE = 'OHL' AND T1.GAMETYPE = 'Regular Season' ORDER BY T1.A DESC LIMIT 1	ice_hockey_draft
SELECT COUNT(T2.TEAM) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN weight_info AS T3 ON T1.weight = T3.weight_id WHERE T1.overallby = 'Arizona Coyotes' ORDER BY T3.weight_in_lbs DESC LIMIT 1	ice_hockey_draft
SELECT CAST(SUM(T1.weight_in_lbs) AS REAL) / COUNT(T2.ELITEID) FROM weight_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.weight_id = T2.weight WHERE T2.overallby = 'Arizona Coyotes'	ice_hockey_draft
SELECT CAST(SUM(T1.height_in_cm) AS REAL) / COUNT(T2.ELITEID) FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height INNER JOIN SeasonStatus AS T3 ON T2.ELITEID = T3.ELITEID WHERE T3.TEAM = 'Acadie-Bathurst Titan' AND T3.GAMETYPE = 'Regular Season'	ice_hockey_draft
SELECT T2.GP FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.SEASON = '1997-1998' AND T1.PlayerName = 'Pavel Patera'	ice_hockey_draft
SELECT T2.weight_in_kg FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id WHERE T1.PlayerName = 'Pavel Patera'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN height_info AS T2 ON T1.height = T2.height_id WHERE T2.height_in_inch > '5''9"'	ice_hockey_draft
SELECT T2.TEAM FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.SEASON = '1997-1998' AND T1.PlayerName = 'Niko Kapanen'	ice_hockey_draft
SELECT T.TEAM FROM ( SELECT T2.TEAM, COUNT(DISTINCT T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.nation = 'Sweden' GROUP BY T2.TEAM ORDER BY COUNT(DISTINCT T1.ELITEID) DESC LIMIT 1 ) AS T	ice_hockey_draft
SELECT SUM(T2.GP) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.PlayerName = 'Per Mars' AND T2.GAMETYPE = 'Playoffs'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.TEAM = 'Rimouski Oceanic' AND T2.GAMETYPE = 'Playoffs' ORDER BY T2.G DESC LIMIT 1	ice_hockey_draft
SELECT T.nation FROM ( SELECT T1.nation, COUNT(T1.ELITEID) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.TEAM = 'Plymouth Whalers' GROUP BY T1.nation ORDER BY COUNT(T1.ELITEID) DESC LIMIT 1 ) AS T	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.TEAM = 'Plymouth Whalers' AND T2.SEASON = '1999-2000' ORDER BY T2.A DESC LIMIT 1	ice_hockey_draft
SELECT T3.height_in_inch FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN height_info AS T3 ON T1.height = T3.height_id WHERE T2.TEAM = 'Oshawa Generals'	ice_hockey_draft
SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.LEAGUE = 'OHL' AND T2.SEASON = '1999-2000' ORDER BY T1.birthdate LIMIT 1	ice_hockey_draft
SELECT T.PlayerName FROM ( SELECT T1.PlayerName, T3.height_in_cm FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN height_info AS T3 ON T1.height = T3.height_id WHERE T2.TEAM = 'USA U20' ORDER BY T3.height_in_cm DESC ) AS T WHERE T.height_in_cm = ( SELECT MAX(T3.height_in_cm) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID INNER JOIN height_info AS T3 ON T1.height = T3.height_id WHERE T2.TEAM = 'USA U20' )	ice_hockey_draft
SELECT DISTINCT CAST(COUNT(CASE WHEN T1.nation = 'Sweden' THEN T1.ELITEID ELSE NULL END) OVER (PARTITION BY T2.SEASON) AS REAL) * 100 / COUNT(T1.ELITEID) OVER (PARTITION BY T2.SEASON) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.SEASON IN ('1997-1998', '1998-1999', '1999-2000')	ice_hockey_draft
SELECT CAST(COUNT(CASE WHEN T1.nation = 'Sweden' THEN T2.PIM ELSE NULL END) AS REAL) * 100 / COUNT(*) FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.LEAGUE = 'OHL'	ice_hockey_draft
SELECT AVG(T2.StandardCost) FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductNumber = 'CA-1098'	works_cycles
SELECT T1.Name, T2.StartDate FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T2.EndDate IS NULL	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.StandardCost - T2.StandardCost > 80 GROUP BY T1.Name	works_cycles
SELECT T1.Name, T2.Quantity FROM Product AS T1 INNER JOIN ShoppingCartItem AS T2 ON T1.ProductID = T2.ProductID WHERE T2.ShoppingCartID = 14951	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN ShoppingCartItem AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Quantity > 5	works_cycles
SELECT DISTINCT T1.Name FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Class = 'L' AND T2.TransactionType = 'P' ORDER BY T1.Name	works_cycles
SELECT DISTINCT T1.Name, T1.ListPrice FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Quantity > 10000	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Class = 'H' ORDER BY T2.Quantity ASC LIMIT 1	works_cycles
SELECT COUNT(T2.TransactionID) FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductLine = 'M'	works_cycles
SELECT SUM((T1.ListPrice - T1.StandardCost) * T2.Quantity) FROM Product AS T1 INNER JOIN ShoppingCartItem AS T2 ON T1.ProductID = T2.ProductID WHERE T2.ShoppingCartID = 20621	works_cycles
SELECT Name, ListPrice FROM Product WHERE Class = 'H'	works_cycles
SELECT ProductLine FROM Product WHERE FinishedGoodsFlag = 1 GROUP BY ProductLine ORDER BY COUNT(FinishedGoodsFlag) DESC LIMIT 1	works_cycles
SELECT ProductID, Rating, Comments FROM ProductReview WHERE ReviewerName LIKE 'J%'	works_cycles
SELECT T1.Name, T1.ProductLine, T2.Rating, T1.ListPrice FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID ORDER BY T2.Rating ASC LIMIT 1	works_cycles
SELECT DISTINCT Name FROM Product WHERE ListPrice - StandardCost > 100	works_cycles
SELECT T1.Name, T2.ReviewerName, T2.Rating, T2.Comments FROM Product AS T1 INNER JOIN ProductReview AS T2 USING (productID) WHERE T1.ProductLine = 'R'	works_cycles
SELECT COUNT(T1.ProductID), AVG(T2.Rating) FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'HL Mountain Pedal'	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T2.RejectedQty = T2.ReceivedQty AND T2.RejectedQty <> 0	works_cycles
SELECT T1.Name, T2.UnitPrice FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T2.RejectedQty = 0 ORDER BY T2.LineTotal DESC LIMIT 1	works_cycles
SELECT T1.Name, T1.ProductLine FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderQty > 4999	works_cycles
SELECT SUM(T2.OrderQty) FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductLine = 'T'	works_cycles
SELECT T1.Name, T2.LineTotal FROM Product AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE Class = 'L' ORDER BY OrderQty * UnitPrice DESC LIMIT 1	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID ORDER BY T2.LastReceiptCost - T2.StandardPrice DESC LIMIT 1	works_cycles
SELECT DISTINCT T1.Name FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID WHERE T2.MinOrderQty = 100 ORDER BY T1.Name DESC	works_cycles
SELECT T1.Name, T1.ListPrice - T1.StandardCost FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID ORDER BY T2.Rating DESC LIMIT 1	works_cycles
SELECT SUM((T1.ListPrice - T1.StandardCost) * T2.Quantity) FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID = 827	works_cycles
SELECT FromCurrencyCode, ToCurrencyCode FROM CurrencyRate ORDER BY AverageRate DESC LIMIT 1	works_cycles
SELECT OrderQty FROM PurchaseOrderDetail ORDER BY UnitPrice DESC LIMIT 1	works_cycles
SELECT Name FROM SalesTerritory WHERE CountryRegionCode = 'US' AND (Name = 'Northwest' OR Name = 'Southeast') ORDER BY SalesLastYear DESC LIMIT 1	works_cycles
SELECT T1.FirstName, T1.MiddleName, T1.LastName FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Document AS T3 ON T3.Owner = T2.BusinessEntityID WHERE T2.JobTitle = 'Document Control Manager' AND T3.DocumentLevel = 1 AND T3.Status = 2 GROUP BY T1.FirstName, T1.MiddleName, T1.LastName	works_cycles
SELECT T1.CustomerID FROM SalesOrderHeader AS T1 INNER JOIN SalesPerson AS T2 ON T1.SalesPersonID = T2.BusinessEntityID ORDER BY T1.SubTotal DESC LIMIT 1	works_cycles
SELECT T2.UnitPrice * T2.OrderQty FROM SpecialOffer AS T1 INNER JOIN SalesOrderDetail AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID WHERE T1.Description = 'Volume Discount 11 to 14' AND T1.SpecialOfferID = 2 AND T2.ProductID = 716 AND T2.SalesOrderID = 46625	works_cycles
SELECT COUNT(T1.ProductID) FROM Product AS T1 INNER JOIN BillOfMaterials AS T2 ON T1.ProductID = T2.ProductAssemblyID WHERE T1.MakeFlag = 1 AND T1.DaysToManufacture = 1 AND T2.BOMLevel = 4 AND T1.ReorderPoint <= 600	works_cycles
SELECT T2.Bonus FROM SalesTerritory AS T1 INNER JOIN SalesPerson AS T2 ON T1.TerritoryID = T2.TerritoryID WHERE T1.CountryRegionCode = 'CA' ORDER BY T2.SalesQuota DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Rating = ( SELECT Rating FROM ProductReview ORDER BY Rating ASC LIMIT 1 )	works_cycles
SELECT COUNT(T2.BusinessEntityID) FROM Department AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.DepartmentID = T2.DepartmentID WHERE T2.StartDate >= '2009-01-01' AND T2.StartDate < '2010-01-01' AND T1.Name = 'Production'	works_cycles
SELECT T3.FirstName, T3.MiddleName, T3.LastName, T1.JobTitle FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaritalStatus = 'S' AND T1.Gender = 'F' ORDER BY T2.Rate DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName, T1.HireDate FROM Employee AS T1 INNER JOIN Person AS T2 USING (BusinessEntityID) WHERE T1.JobTitle = 'Vice President of Engineering'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.CurrentFlag = 1 AND T2.Rate <= 30	works_cycles
SELECT T1.Name FROM Department AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.DepartmentID = T2.DepartmentID ORDER BY T2.StartDate DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName, T1.Gender FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'SP'	works_cycles
SELECT T2.PayFrequency FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.SickLeaveHours ASC LIMIT 1	works_cycles
SELECT T1.JobTitle FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.Rate ASC LIMIT 1	works_cycles
SELECT COUNT(T2.BusinessEntityID) FROM Department AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 USING (DepartmentID) WHERE T1.Name = 'Finance'	works_cycles
SELECT ( SELECT ListPrice - StandardCost FROM Product WHERE ListPrice != 0 ORDER BY ListPrice DESC LIMIT 1 ) , ( SELECT ListPrice - StandardCost FROM Product WHERE ListPrice != 0 ORDER BY ListPrice LIMIT 1 )	works_cycles
SELECT T2.Name, T1.LastReceiptCost - T1.StandardPrice FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.CreditRating = 3	works_cycles
SELECT COUNT(*) FROM Address WHERE AddressLine2 <> ''	works_cycles
SELECT PostalCode FROM Address ORDER BY ModifiedDate DESC LIMIT 1	works_cycles
SELECT JULIANDAY(EndDate) - JULIANDAY(StartDate) FROM BillOfMaterials ORDER BY JULIANDAY(EndDate) - JULIANDAY(StartDate) DESC LIMIT 1	works_cycles
SELECT COUNT(BillOfMaterialsID) FROM BillOfMaterials WHERE EndDate IS NULL	works_cycles
SELECT UnitMeasureCode FROM BillOfMaterials ORDER BY PerAssemblyQty DESC LIMIT 1	works_cycles
SELECT COUNT(DocumentNode) FROM Document WHERE DocumentSummary IS NULL	works_cycles
SELECT Title FROM Document WHERE Status = 1	works_cycles
SELECT DISTINCT T2.BusinessEntityID, T2.JobTitle FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T1.Status = 2	works_cycles
SELECT T1.PayFrequency FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.BirthDate ASC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.MaritalStatus = 'M' AND T1.PayFrequency = ( SELECT PayFrequency FROM EmployeePayHistory ORDER BY PayFrequency DESC LIMIT 1 )	works_cycles
SELECT T1.Rate FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.HireDate DESC LIMIT 1	works_cycles
SELECT SUM(CASE WHEN T2.Gender = 'M' THEN 1 ELSE 0 END) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Rate > 40	works_cycles
SELECT T1.Rate FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.SalariedFlag = 1 ORDER BY T1.Rate DESC LIMIT 1	works_cycles
SELECT T2.VacationHours FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.BusinessEntityID = ( SELECT BusinessEntityID FROM EmployeePayHistory ORDER BY Rate DESC LIMIT 1 )	works_cycles
SELECT T1.Rate FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.VacationHours DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.SickLeaveHours > 10 AND T1.Rate > 35	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.CurrentFlag = 1 AND T2.Gender = 'M' AND T1.PayFrequency = 2	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'M' AND T2.PersonType = 'SP'	works_cycles
SELECT T2.PersonType FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.BirthDate ASC LIMIT 1	works_cycles
SELECT T2.NameStyle FROM EmployeePayHistory AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Rate IS NOT NULL ORDER BY T1.Rate ASC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.NameStyle = 0 AND T1.MaritalStatus = 'M'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 1 AND T1.SickLeaveHours > 10	works_cycles
SELECT T1.BusinessEntityID FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 1 AND T1.VacationHours > 20	works_cycles
SELECT T2.AdditionalContactInfo FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE PersonType = 'SP' ORDER BY T1.BirthDate ASC LIMIT 1	works_cycles
SELECT T2.FirstName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.NameStyle = 0 AND T1.Gender = 'M'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.CurrentFlag = 1 AND T2.Title = 'Mr.'	works_cycles
SELECT T2.Demographics FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeePayHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaritalStatus = 'M' ORDER BY T3.Rate DESC LIMIT 1	works_cycles
SELECT T2.Suffix FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'SP' ORDER BY T1.SickLeaveHours DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeePayHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaritalStatus = 'M' AND T2.NameStyle = 1 AND T3.Rate = ( SELECT Rate FROM EmployeePayHistory ORDER BY Rate DESC LIMIT 1 )	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.CurrentFlag = 1 AND T2.EmailPromotion = 1	works_cycles
SELECT T2.CreditCardID FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.PersonType = 'SC'	works_cycles
SELECT CAST(SUM(T1.VacationHours) AS REAL) / COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'M' AND T2.PersonType = 'EM'	works_cycles
SELECT MAX(T1.Rate) - SUM(T1.Rate) / COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T2.EmailPromotion = 2 AND T3.MaritalStatus = 'M'	works_cycles
SELECT CAST(COUNT(IIF(T1.PersonType = 'SC', T1.PersonType, NULL)) AS REAL) / COUNT(T1.PersonType) FROM Person AS T1 INNER JOIN Employee AS T2 WHERE T1.PersonType = 'SC' AND T1.NameStyle = 0 AND T2.MaritalStatus = 'M'	works_cycles
SELECT CAST(SUM(CASE WHEN T2.VacationHours > 20 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.CurrentFlag = 1 AND T2.SickLeaveHours > 10	works_cycles
SELECT SUM(LastReceiptCost) / COUNT(ProductID) FROM ProductVendor WHERE AverageLeadTime = 60	works_cycles
SELECT CAST(SUM(ActualCost) AS REAL) / COUNT(TransactionID) FROM TransactionHistoryArchive WHERE TransactionType = 'P' AND TransactionDate >= '2012-01-01' AND TransactionDate < '2012-07-01'	works_cycles
SELECT CAST(SUM(CASE WHEN MaritalStatus = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(BusinessEntityID) FROM Employee WHERE SUBSTR(HireDate, 1, 4) = '2009' AND Gender = 'M'	works_cycles
SELECT CAST(SUM(CASE WHEN EmailPromotion = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN PersonType = 'SC' THEN 1 ELSE 0 END) FROM Person WHERE FirstName = 'Mary'	works_cycles
SELECT DISTINCT ProductID FROM ProductVendor WHERE StandardPrice - LastReceiptCost < 0	works_cycles
SELECT SUM(TotalDue) / COUNT(TotalDue) FROM PurchaseOrderHeader WHERE Status = 2	works_cycles
SELECT CAST(SUM(CASE WHEN OrderQty < 3 AND UnitPriceDiscount = 0.2 THEN 1 ELSE 0 END) AS REAL) / COUNT(SalesOrderID) FROM SalesOrderDetail	works_cycles
SELECT BusinessEntityID FROM SalesPerson WHERE SalesYTD > SalesLastYear + SalesLastyear * 0.6 AND Bonus > 3000	works_cycles
SELECT SUM(CASE WHEN T2.Name = 'Home' THEN 1 ELSE 0 END) , SUM(CASE WHEN T2.Name = 'Shipping' THEN 1 ELSE 0 END) FROM BusinessEntityAddress AS T1 INNER JOIN AddressType AS T2 ON T1.AddressTypeID = T2.AddressTypeID	works_cycles
SELECT T2.CustomerID FROM SalesOrderDetail AS T1 INNER JOIN Customer AS T2 WHERE T1.UnitPrice = 35 AND T1.OrderQty = 32	works_cycles
SELECT T2.BusinessEntityID FROM CreditCard AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.CreditCardID = T2.CreditCardID WHERE T1.CardType = 'ColonialVoice' AND T1.ExpMonth = 3 AND T1.ExpYear = 2005	works_cycles
SELECT T2.CreditRating FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.StandardPrice = 18.9900 AND T1.AverageLeadTime = 16 AND STRFTIME('%Y-%m-%d', T1.LastReceiptDate) = '2011-08-27'	works_cycles
SELECT COUNT(ProductID) FROM Product WHERE Name LIKE '%accessories %' OR Name LIKE '%components%'	works_cycles
SELECT T1.JobTitle FROM Employee AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.DepartmentID = 12 ORDER BY T2.StartDate DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.MaritalStatus = 'S' AND T1.Gender = 'M' AND T1.JobTitle LIKE 'Production Supervisor%'	works_cycles
SELECT COUNT(T1.LocationID) FROM Location AS T1 INNER JOIN ProductInventory AS T2 USING (LocationID) WHERE T1.Name = 'Subassembly'	works_cycles
SELECT SUM(T2.ScrappedQty) FROM ScrapReason AS T1 INNER JOIN WorkOrder AS T2 ON T1.ScrapReasonID = T2.ScrapReasonID WHERE T1.Name = 'Trim length too long'	works_cycles
SELECT SUM(T2.OrderQty) FROM PurchaseOrderHeader AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.PurchaseOrderID = T2.PurchaseOrderID WHERE T1.Status = 1	works_cycles
SELECT COUNT(DISTINCT T1.ProductID) FROM SalesOrderDetail AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN SpecialOffer AS T3 ON T2.SpecialOfferID = T3.SpecialOfferID WHERE T1.OrderQty > 2 AND T1.UnitPriceDiscount = 0	works_cycles
SELECT DISTINCT T2.TransactionType FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Size = 62 AND T1.Color = 'Yellow' AND T1.SafetyStockLevel = 500	works_cycles
SELECT T1.Name FROM ProductSubcategory AS T1 INNER JOIN Product AS T2 USING (ProductSubcategoryID) WHERE T2.Color = 'Grey' GROUP BY T1.Name	works_cycles
SELECT T2.EndDate FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.WeightUnitMeasureCode = 'G' ORDER BY T1.Weight DESC LIMIT 1	works_cycles
SELECT CAST(SUM(CASE WHEN T2.VacationHours > 20 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.CurrentFlag = 1 AND T2.SickLeaveHours > 10	works_cycles
SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID	works_cycles
SELECT T2.Name FROM SalesTerritory AS T1 INNER JOIN StateProvince AS T2 ON T1.CountryRegionCode = T2.CountryRegionCode INNER JOIN SalesTaxRate AS T3 ON T2.StateProvinceID = T3.StateProvinceID ORDER BY (T1.SalesYTD - T1.SalesLastYear) / T1.SalesLastYear DESC LIMIT 1	works_cycles
SELECT COUNT(BusinessEntityID) FROM EmployeePayHistory WHERE rate * PayFrequency > 50	works_cycles
SELECT FirstName, MiddleName, LastName FROM Person WHERE BusinessEntityID = 1 AND PersonType = 'EM'	works_cycles
SELECT NAME FROM Vendor WHERE BusinessEntityID = 1492	works_cycles
SELECT COUNT(*) FROM ProductVendor WHERE MinOrderQty > 500 AND MaxOrderQty < 15000	works_cycles
SELECT Name FROM Department WHERE GroupName = 'Executive General and Administration'	works_cycles
SELECT LastName FROM Person WHERE PersonType = 'EM' AND MiddleName LIKE 'C%'	works_cycles
SELECT COUNT(DISTINCT BusinessEntityID) FROM ProductVendor WHERE AverageLeadTime = 25	works_cycles
SELECT ProductID FROM ProductCostHistory ORDER BY StandardCost ASC LIMIT 3	works_cycles
SELECT COUNT(ProductID) FROM Product WHERE FinishedGoodsFlag = 0 AND Color = 'Black'	works_cycles
SELECT JobTitle FROM Employee ORDER BY SickLeaveHours DESC LIMIT 3	works_cycles
SELECT AddressLine1, AddressLine2 FROM Address WHERE AddressID = 11906	works_cycles
SELECT LastReceiptCost - StandardPrice FROM ProductVendor WHERE BusinessEntityID = 1580	works_cycles
SELECT ListPrice - StandardCost FROM Product WHERE ProductID = 740	works_cycles
SELECT ReviewerName FROM ProductReview WHERE Rating = 5	works_cycles
SELECT BusinessEntityID FROM Vendor WHERE CreditRating = ( SELECT CreditRating FROM Vendor ORDER BY CreditRating DESC LIMIT 1 )	works_cycles
SELECT T1.FirstName, T2.BirthDate FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.BusinessEntityID = 18	works_cycles
SELECT T1.Name FROM ContactType AS T1 INNER JOIN BusinessEntityContact AS T2 ON T1.ContactTypeID = T2.ContactTypeID WHERE T2.BusinessEntityID = 332	works_cycles
SELECT T2.BusinessEntityID FROM PhoneNumberType AS T1 INNER JOIN PersonPhone AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID WHERE T1.Name = 'Cell' LIMIT 3	works_cycles
SELECT T1.Name FROM Currency AS T1 INNER JOIN CountryRegionCurrency AS T2 ON T1.CurrencyCode = T2.CurrencyCode INNER JOIN CountryRegion AS T3 ON T2.CountryRegionCode = T3.CountryRegionCode WHERE T3.Name = 'Brazil'	works_cycles
SELECT COUNT(T2.BusinessEntityID) FROM Department AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.DepartmentID = T2.DepartmentID WHERE T1.Name = 'Finance'	works_cycles
SELECT T1.AverageLeadTime, T2.Name FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 USING (businessentityid) WHERE T2.BusinessEntityID = 1496 GROUP BY T1.AverageLeadTime, T2.Name	works_cycles
SELECT SUM(IIF(T1.city = 'Bothell', 1, 0)) - SUM(IIF(T1.city = 'Kenmore', 1, 0)) , stateprovincecode FROM Address AS T1 INNER JOIN StateProvince AS T2 ON T1.stateprovinceid = T2.stateprovinceid GROUP BY stateprovincecode	works_cycles
SELECT T1.ProductModelID FROM ProductModelProductDescriptionCulture AS T1 INNER JOIN Culture AS T2 USING (cultureid) INNER JOIN ProductDescription AS T3 USING (productdescriptionid) WHERE T3.Description LIKE 'Chromoly steel%' AND T2.Name = 'English'	works_cycles
SELECT T1.BusinessEntityID, T2.'Group' FROM SalesPerson AS T1 INNER JOIN SalesTerritory AS T2 USING (territoryid) WHERE T1.CommissionPct >= 0.018	works_cycles
SELECT T2.Name FROM PersonPhone AS T1 INNER JOIN PhoneNumberType AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID GROUP BY T2.Name ORDER BY COUNT(T2.Name) DESC	works_cycles
SELECT T1.Name FROM ContactType AS T1 INNER JOIN BusinessEntityContact AS T2 ON T1.ContactTypeID = T2.ContactTypeID GROUP BY T1.Name ORDER BY COUNT(T1.Name) DESC LIMIT 1	works_cycles
SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.PersonType = 'SP'	works_cycles
SELECT T2.JobTitle FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Suchitra'	works_cycles
SELECT COUNT(T1.BusinessentityID) FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.PersonType = 'EM' AND T2.MaritalStatus = 'S'	works_cycles
SELECT SUM(CASE WHEN T1.Name = 'English' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Name = 'Arabic' THEN 1 ELSE 0 END) FROM Culture AS T1 INNER JOIN ProductModelProductDescriptionCulture AS T2 ON T1.CultureID = T2.CultureID WHERE T1.Name = 'English' OR T1.Name = 'Arabic'	works_cycles
SELECT T1.AddressLine1 FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 USING (AddressID) WHERE T2.BusinessEntityID = 1	works_cycles
SELECT T2.BusinessEntityID FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 ON T1.AddressID = T2.AddressID WHERE T1.City = 'Duvall'	works_cycles
SELECT CAST(SUM(CASE WHEN T1.Name = 'Thai' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.CultureID) FROM Culture AS T1 INNER JOIN ProductModelProductDescriptionCulture AS T2 ON T1.CultureID = T2.CultureID	works_cycles
SELECT CAST(SUM(CASE WHEN T2.Gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessentityID) FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessentityID = T2.BusinessentityID WHERE T1.PersonType = 'EM'	works_cycles
SELECT T2.City, T1.Name, T1.IsOnlyStateProvinceFlag FROM StateProvince AS T1 INNER JOIN Address AS T2 ON T1.StateProvinceID = T2.StateProvinceID WHERE T2.AddressID = 15873	works_cycles
SELECT T1.AddressLine1, T1.AddressLine2 FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 ON T1.AddressID = T2.AddressID WHERE T2.BusinessEntityID = 24	works_cycles
SELECT ExpYear FROM CreditCard WHERE CreditCardID = 9648	works_cycles
SELECT BusinessEntityID FROM Person WHERE FirstName = 'Emma' AND LastName = 'Harris'	works_cycles
SELECT LocationID FROM Location WHERE Name = 'Debur and Polish'	works_cycles
SELECT DepartmentID FROM Department WHERE GroupName = 'Sales and Marketing'	works_cycles
SELECT BusinessEntityID FROM SalesPerson WHERE SalesLastYear = '1635823.3967'	works_cycles
SELECT StartTime FROM Shift WHERE ShiftID = '2'	works_cycles
SELECT Name FROM ContactType WHERE ContactTypeID = '16'	works_cycles
SELECT ShipBase FROM ShipMethod WHERE Name = 'OVERSEAS - DELUXE'	works_cycles
SELECT Name FROM Culture WHERE CultureID = 'fr'	works_cycles
SELECT CurrencyCode FROM Currency WHERE Name = 'Mauritius Rupee'	works_cycles
SELECT PhoneNumberTypeID FROM PhoneNumberType WHERE Name = 'Cell'	works_cycles
SELECT BirthDate FROM Employee WHERE HireDate = '2008-12-07'	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN ProductModel AS T2 ON T1.ProductModelID = T2.ProductModelID WHERE T1.ProductID = 793	works_cycles
SELECT T2.UnitMeasureCode FROM Product AS T1 INNER JOIN UnitMeasure AS T2 ON T1.SizeUnitMeasureCode = T2.UnitMeasureCode OR T1.WeightUnitMeasureCode = T2.UnitMeasureCode WHERE T1.ProductID = 762 GROUP BY T1.ProductID, T2.UnitMeasureCode	works_cycles
SELECT AddressLine1, AddressLine2 FROM Address WHERE AddressID IN ( SELECT AddressID FROM BusinessEntityAddress WHERE BusinessEntityID = 4 )	works_cycles
SELECT T2.Name FROM BillOfMaterials AS T1 INNER JOIN UnitMeasure AS T2 ON T1.UnitMeasureCode = T2.UnitMeasureCode WHERE T1.ComponentID = 494 AND T1.EndDate IS NULL GROUP BY T2.name	works_cycles
SELECT COUNT(T2.BusinessEntityID) FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T2.JobTitle = 'Document Control Assistant' AND T2.BirthDate = '1975-12-25' AND T1.DocumentSummary IS NULL	works_cycles
SELECT T1.ListPrice FROM Product AS T1 INNER JOIN ProductListPriceHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ListPrice - T1.StandardCost > 21.9037 AND STRFTIME('%Y-%m-%d', T2.StartDate) >= '2012-10-01'	works_cycles
SELECT T1.ThumbNailPhoto FROM ProductPhoto AS T1 INNER JOIN ProductProductPhoto AS T2 ON T1.ProductPhotoID = T2.ProductPhotoID WHERE T2.ProductID = 1	works_cycles
SELECT LENGTH(T2.PasswordHash) FROM Person AS T1 INNER JOIN Password AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Catherine' AND T1.LastName = 'Ward'	works_cycles
SELECT T1.Rating FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ReviewerName = 'Jill' AND T2.Name = 'HL Mountain Pedal'	works_cycles
SELECT T1.LastReceiptCost - T1.StandardPrice FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Freewheel'	works_cycles
SELECT T1.Bonus FROM SalesPerson AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.FirstName = 'Rachel' AND T2.LastName = 'Valdez'	works_cycles
SELECT COUNT(DISTINCT T1.Name) FROM SalesTaxRate AS T1 INNER JOIN StateProvince AS T2 ON T1.StateProvinceID = T2.StateProvinceID WHERE T2.Name = 'Quebec'	works_cycles
SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Kevin' AND T1.MiddleName = 'A' AND T1.LastName = 'Wright'	works_cycles
SELECT T1.CountryRegionCode FROM StateProvince AS T1 INNER JOIN CountryRegion AS T2 ON T1.CountryRegionCode = T2.CountryRegionCode WHERE T2.Name = 'France' AND T1.IsOnlyStateProvinceFlag = 1	works_cycles
SELECT T1.TransactionType FROM TransactionHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'HL Road Frame - Black, 48' AND STRFTIME('%Y-%m-%d',T1.TransactionDate) = '2013-07-31'	works_cycles
SELECT T1.TransactionType FROM TransactionHistoryArchive AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'LL Road Handlebars' AND STRFTIME('%Y-%m-%d',T1.TransactionDate) = '2012-11-03'	works_cycles
SELECT T1.CreditRating FROM Vendor AS T1 INNER JOIN BusinessEntity AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.rowguid = '33671A4E-DF2B-4879-807B-E3F930DD5C0C'	works_cycles
SELECT T1.PreferredVendorStatus FROM Vendor AS T1 INNER JOIN BusinessEntity AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.rowguid = '684F328D-C185-43B9-AF9A-37ACC680D2AF'	works_cycles
SELECT T1.ActiveFlag FROM Vendor AS T1 INNER JOIN BusinessEntityContact AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonID = 2054	works_cycles
SELECT T2.PhoneNumber FROM Person AS T1 INNER JOIN PersonPhone AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Gerald' AND T1.LastName = 'Patel'	works_cycles
SELECT T2.Name FROM PersonPhone AS T1 INNER JOIN PhoneNumberType AS T2 USING (PhoneNumberTypeID) WHERE T1.BusinessEntityID = 13626	works_cycles
SELECT T2.JobTitle FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Lynn' AND T1.MiddleName = 'N' AND T1.LastName = 'Tsoflias'	works_cycles
SELECT COUNT(*) FROM ProductCategory AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductCategoryID = T2.ProductCategoryID WHERE T1.Name = 'Bikes'	works_cycles
SELECT CAST(SUM(CASE WHEN T1.DocumentSummary IS NOT NULL THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.DocumentSummary) FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T2.JobTitle = 'Document Control Assistant' AND T2.HireDate = '2009-01-22'	works_cycles
SELECT (T1.LastReceiptCost - T1.StandardPrice) / T1.StandardPrice FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'HL Grip Tape'	works_cycles
SELECT CAST(SUM(CASE WHEN T2.Name = 'Cell' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Name) FROM PersonPhone AS T1 INNER JOIN PhoneNumberType AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID	works_cycles
SELECT ProductAssemblyID FROM BillOfMaterials WHERE UnitMeasureCode = 'EA' AND BOMLevel = 2 AND PerAssemblyQty > 10	works_cycles
SELECT COUNT(LocationID) FROM WorkOrderRouting WHERE ActualResourceHrs = 2	works_cycles
SELECT COUNT(*) FROM WorkOrderRouting AS T1 INNER JOIN BillOfMaterials AS T2 ON T1.LocationID = T2.ProductAssemblyID INNER JOIN WorkOrder AS T3 ON T3.WorkOrderID = T1.WorkOrderID WHERE T1.LocationID = 40	works_cycles
SELECT SUM(T1.PerAssemblyQty), T2.Name FROM BillOfMaterials AS T1 INNER JOIN UnitMeasure AS T2 ON T1.UnitMeasureCode = T2.UnitMeasureCode WHERE T1.UnitMeasureCode IN ('EA', 'IN', 'OZ') GROUP BY T2.Name	works_cycles
SELECT ProductID FROM Product WHERE ProductID NOT IN ( SELECT T1.ProductID FROM Product AS T1 INNER JOIN WorkOrder AS T2 ON T1.ProductID = T2.ProductID )	works_cycles
SELECT ProductID FROM Product WHERE ProductID IN ( SELECT ProductID FROM TransactionHistory WHERE TransactionType = 'P' )	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle = 'Accountant'	works_cycles
SELECT T1.JobTitle FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.FirstName = 'Ken' AND T2.MiddleName = 'J' AND T2.LastName = 'Sánchez'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 0 AND T1.Gender = 'M'	works_cycles
SELECT BusinessEntityID FROM SalesPerson WHERE BusinessEntityID IN ( SELECT BusinessEntityID FROM SalesPersonQuotaHistory WHERE STRFTIME('%Y', QuotaDate) = '2013' ) ORDER BY CAST(SalesLastYear AS REAL) / SalesQuota DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'EM' AND T1.MaritalStatus = 'M'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle LIKE 'Production Technician%' AND T1.MaritalStatus = 'S' AND T2.PersonType = 'VC'	works_cycles
SELECT SUM(T1.SickLeaveHours) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 0	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'SP' AND SUBSTR(T1.HireDate, 0, 4) < 2010	works_cycles
SELECT T1.BusinessEntityID, SUM(T1.SalesQuota) FROM SalesPerson AS T1 INNER JOIN SalesPersonQuotaHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T2.QuotaDate) = '2011' GROUP BY T1.BusinessEntityID ORDER BY SUM(T1.SalesYTD) DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.FirstName = 'Alex' AND T1.MaritalStatus = 'S' AND T1.OrganizationLevel = 1	works_cycles
SELECT CAST(SUM(T1.VacationHours) AS REAL) / COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'SP'	works_cycles
SELECT T1.LastName, T3.JobTitle FROM Person AS T1 INNER JOIN Document AS T2 ON T1.BusinessEntityID = T2.Owner INNER JOIN Employee AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Title = 'Crank Arm and Tire Maintenance'	works_cycles
SELECT COUNT(T3.BusinessEntityID) FROM ( SELECT T1.BusinessEntityID FROM Employee AS T1 INNER JOIN Person AS T2 USING (BusinessEntityID) WHERE T2.Suffix IS NULL GROUP BY T1.BusinessEntityID ) AS T3	works_cycles
SELECT DISTINCT T1.BusinessEntityID FROM SalesPerson AS T1 INNER JOIN SalesPersonQuotaHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.TerritoryID = 1 AND STRFTIME('%Y', QuotaDate) = '2013'	works_cycles
SELECT T3.LastName FROM Employee AS T1 INNER JOIN JobCandidate AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T1.BusinessEntityID IN (212, 274)	works_cycles
SELECT T3.EmailAddress FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmailAddress AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.Gender = 'F' AND T1.MaritalStatus = 'S'	works_cycles
SELECT T1.Color FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID = 709 OR 937 OR 798	works_cycles
SELECT SUM(T1.SalesQuota) FROM SalesPerson AS T1 INNER JOIN SalesPersonQuotaHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.BusinessEntityID = 275 AND STRFTIME('%Y', QuotaDate) = '2013'	works_cycles
SELECT DISTINCT T1.BusinessEntityID FROM SalesPerson AS T1 INNER JOIN SalesPersonQuotaHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T2.QuotaDate) = '2013' AND T1.SalesQuota < T1.SalesLastYear	works_cycles
SELECT CAST(SUM(CASE WHEN T1.Gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 1	works_cycles
SELECT CAST(SUM(CASE WHEN T1.MaritalStatus = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T1.MaritalStatus = 'S' THEN 1 ELSE 0 END) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'EM'	works_cycles
SELECT SUM(T1.Bonus) , CAST(SUM(T1.Bonus) AS REAL) * 100 / SUM(T1.SalesQuota) FROM SalesPerson AS T1 INNER JOIN SalesPersonQuotaHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T2.QuotaDate) = '2013'	works_cycles
SELECT COUNT(CardNumber) FROM CreditCard WHERE CardType = 'vista'	works_cycles
SELECT Name FROM Product WHERE ProductID = 475	works_cycles
SELECT COUNT(BusinessEntityID) FROM Employee WHERE MaritalStatus = 's' AND BirthDate < '1980-1-1'	works_cycles
SELECT Name FROM Store WHERE SalesPersonID = 277	works_cycles
SELECT SUM(Quantity) FROM TransactionHistory WHERE TransactionDate LIKE '2013-08%' AND TransactionType = 'S' AND ProductID = 989	works_cycles
SELECT CardNumber FROM CreditCard WHERE ExpYear < 2007	works_cycles
SELECT T2.Rate FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T1.HireDate) - STRFTIME('%Y', T1.BirthDate) = 20	works_cycles
SELECT T2.Name FROM SalesPerson AS T1 INNER JOIN SalesTerritory AS T2 ON T1.TerritoryID = T2.TerritoryID WHERE T1.BusinessEntityID = 277	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle = 'Vice President of Production'	works_cycles
SELECT COUNT(T2.BusinessEntityID) FROM Department AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN Shift AS T3 ON T2.ShiftId = T3.ShiftId WHERE T1.Name = 'Information Services' AND T3.Name = 'Evening'	works_cycles
SELECT T2.PurchaseOrderID FROM Vendor AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.BusinessEntityID = T2.VendorID WHERE T1.CreditRating = 5	works_cycles
SELECT T2.Name FROM PersonPhone AS T1 INNER JOIN PhoneNumberType AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID WHERE T1.PhoneNumber = '114-555-0100'	works_cycles
SELECT SUM(t2.freight) FROM ShipMethod AS t1 INNER JOIN PurchaseOrderHeader AS t2 ON t1.shipmethodid = t2.shipmethodid WHERE t1.name = 'cargo transport 5' AND t2.orderdate = '2011-12-14'	works_cycles
SELECT COUNT(T2.TotalDue) FROM Person AS T1 INNER JOIN SalesOrderHeader AS T2 ON T1.ModifiedDate = T2.DueDate WHERE T1.FirstName = 'David' AND T1.MiddleName = 'R' AND T1.LastName = 'Campbell' AND T1.PersonType = 'SP'	works_cycles
SELECT T3.EmailAddress FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmailAddress AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.JobTitle = 'Facilities Manager'	works_cycles
SELECT COUNT(T2.CustomerID) FROM SalesTerritory AS T1 INNER JOIN Customer AS T2 ON T1.TerritoryID = T2.TerritoryID WHERE T1.Name = 'Canada'	works_cycles
SELECT T1.ShipToAddressID FROM SalesOrderHeader AS T1 INNER JOIN Address AS T2 ON T1.BillToAddressID = T2.AddressID WHERE T1.SalesOrderID = 43873 GROUP BY T1.ShipToAddressID	works_cycles
SELECT T2.FirstName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.SickLeaveHours > 65	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle LIKE 'Production Technician%' AND T2.Rate < ( SELECT AVG(T2.Rate) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle LIKE 'Production Technician%' )	works_cycles
SELECT CAST(SUM(CASE WHEN T2.Name = 'United Kingdom' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.SalesOrderID) FROM SalesOrderHeader AS T1 INNER JOIN SalesTerritory AS T2 ON T1.TerritoryID = T2.TerritoryID	works_cycles
SELECT ModifiedDate FROM PersonPhone WHERE PhoneNumber = '1 (11) 500 555-0143'	works_cycles
SELECT BusinessEntityID FROM SalesPerson ORDER BY SalesYTD DESC LIMIT 1	works_cycles
SELECT Name FROM Vendor WHERE ActiveFlag = 1	works_cycles
SELECT TerritoryID FROM Customer WHERE ModifiedDate < '2014-12-09' GROUP BY TerritoryID ORDER BY COUNT(TerritoryID) DESC LIMIT 1	works_cycles
SELECT SUM(TotalDue) FROM PurchaseOrderHeader WHERE OrderDate LIKE '2013-05-29%'	works_cycles
SELECT FirstName FROM Person WHERE PersonType = 'VC' GROUP BY FirstName ORDER BY COUNT(*) DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 USING (BusinessEntityID) WHERE T1.JobTitle = 'Production Technician - WC50' GROUP BY T2.FirstName, T2.MiddleName, T2.LastName	works_cycles
SELECT COUNT(OrderQty) FROM SalesOrderDetail WHERE ProductID IN ( SELECT ProductID FROM Product WHERE Name = 'Minipump' )	works_cycles
SELECT T2.BusinessEntityID FROM CreditCard AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.CreditCardID = T2.CreditCardID WHERE T1.CardNumber = 11113366963373	works_cycles
SELECT T3.City, T3.AddressLine1 FROM BusinessEntityAddress AS T1 INNER JOIN AddressType AS T2 ON T1.AddressTypeID = T2.AddressTypeID INNER JOIN Address AS T3 ON T1.AddressID = T3.AddressID WHERE T1.BusinessEntityID = 5555 AND T2.Name = 'Home'	works_cycles
SELECT T2.Name FROM SpecialOfferProduct AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.SpecialOfferID = 15	works_cycles
SELECT T3.CreditCardID FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T1.FirstName = 'Michelle' AND T1.MiddleName = 'E' AND T1.LastName = 'Cox'	works_cycles
SELECT T2.Name FROM SalesOrderHeaderSalesReason AS T1 INNER JOIN SalesReason AS T2 ON T1.SalesReasonID = T2.SalesReasonID WHERE T1.SalesOrderID = 51883	works_cycles
SELECT T2.CardNumber FROM SalesOrderHeader AS T1 INNER JOIN CreditCard AS T2 ON T1.CreditCardID = T2.CreditCardID WHERE T1.SalesOrderID = 45793	works_cycles
SELECT T2.BusinessEntityID FROM SalesTerritory AS T1 INNER JOIN SalesPerson AS T2 ON T1.TerritoryID = T2.TerritoryID WHERE T1.Name = 'Northwest' AND T1.CountryRegionCode = 'US'	works_cycles
SELECT T1.BusinessEntityID FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle LIKE 'Production Technician%' ORDER BY T2.Rate DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM SalesPerson AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.TerritoryID = 9	works_cycles
SELECT T2.Description FROM SpecialOfferProduct AS T1 INNER JOIN SpecialOffer AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID WHERE T1.ProductID = 762	works_cycles
SELECT AVG(T2.Rate) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID GROUP BY T1.Gender	works_cycles
SELECT CAST(SUM(CASE WHEN T1.Name = 'Night' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.BusinessEntityID) FROM Shift AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.ShiftId = T2.ShiftId	works_cycles
SELECT COUNT(BusinessEntityID) FROM Employee WHERE MaritalStatus = 'M' AND STRFTIME('%Y', BirthDate) < '1960' AND Gender = 'M'	works_cycles
SELECT Name FROM Product ORDER BY ListPrice DESC LIMIT 5	works_cycles
SELECT MIN(HireDate) FROM Employee WHERE JobTitle = 'Accountant'	works_cycles
SELECT JobTitle FROM Employee WHERE STRFTIME('%Y', HireDate) = '2007' GROUP BY HireDate ORDER BY COUNT(JobTitle) DESC LIMIT 1	works_cycles
SELECT LastReceiptCost - StandardPrice FROM ProductVendor ORDER BY StandardPrice DESC LIMIT 1	works_cycles
SELECT COUNT(T3.Name) FROM Person AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T1.FirstName = 'Sheela' AND T1.LastName = 'Word' AND STRFTIME('%Y', T3.ModifiedDate) BETWEEN '2011' AND '2012'	works_cycles
SELECT AVG(2009 - STRFTIME('%Y', T2.BirthDate)) FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.PersonType = 'SP'	works_cycles
SELECT T2.GroupName FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID GROUP BY T2.GroupName ORDER BY COUNT(T1.BusinessEntityID) LIMIT 1	works_cycles
SELECT 2015 - STRFTIME('%Y', T1.BirthDate), T2.Rate FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle = 'Marketing Specialist' ORDER BY 2015 - STRFTIME('%Y', T1.BirthDate) DESC LIMIT 1	works_cycles
SELECT T1.UnitPrice, T3.Name FROM PurchaseOrderDetail AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.PurchaseOrderID = T2.PurchaseOrderID INNER JOIN Vendor AS T3 ON T2.VendorID = T3.BusinessEntityID ORDER BY T1.UnitPrice LIMIT 1	works_cycles
SELECT T2.BusinessEntityID, STRFTIME('%Y', T2.HireDate) - STRFTIME('%Y', T2.BirthDate) FROM PurchaseOrderHeader AS T1 INNER JOIN Employee AS T2 ON T1.EmployeeID = T2.BusinessEntityID ORDER BY T1.TotalDue DESC LIMIT 1	works_cycles
SELECT T2.JobTitle, T1.Rate, T3.FirstName, T3.MiddleName, T3.LastName FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID ORDER BY T1.Rate DESC LIMIT 9, 1	works_cycles
SELECT T1.ListPrice - T1.StandardCost, T1.Name FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T2.ReviewerName = 'John Smith' ORDER BY T2.Rating DESC LIMIT 1	works_cycles
SELECT T1.Rate FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID ORDER BY T2.HireDate ASC LIMIT 0, 5	works_cycles
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.MaxOrderQty BETWEEN 500 AND 750 ORDER BY T1.LastReceiptCost - T1.StandardPrice DESC LIMIT 9, 1	works_cycles
SELECT 2011 - STRFTIME('%Y', T2.HireDate) FROM Document AS T1 INNER JOIN Employee AS T2 ON T1.Owner = T2.BusinessEntityID WHERE T1.Status = 1	works_cycles
SELECT T1.DaysToManufacture FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Rating = 5 AND T1.Class = 'M' ORDER BY T2.Rating LIMIT 1	works_cycles
SELECT T1.JobTitle, T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.HireDate LIMIT 1	works_cycles
SELECT COUNT(T1.TransactionID) FROM TransactionHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Quantity BETWEEN 100 AND 250 AND T2.ReorderPoint <= 375	works_cycles
SELECT AVG(T2.Rate) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'F'	works_cycles
SELECT DISTINCT T4.Name FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID INNER JOIN ProductSubcategory AS T3 ON T1.ProductSubcategoryID = T3.ProductSubcategoryID INNER JOIN Vendor AS T4 ON T2.BusinessEntityID = T4.BusinessEntityID WHERE T1.MakeFlag = 0 AND T1.Style = 'W' AND T3.Name = 'Tights'	works_cycles
SELECT T2.PayFrequency FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle = 'Scheduling Assistant' ORDER BY T1.HireDate LIMIT 1	works_cycles
SELECT T2.Class, T2.ProductLine, T2.ListPrice FROM ShoppingCartItem AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID ORDER BY SUM(Quantity) LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM SalesPerson AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.CommissionPct DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY STRFTIME('%Y', T1.HireDate) - STRFTIME('%Y', T1.BirthDate) DESC LIMIT 1, 1	works_cycles
SELECT (T2.ListPrice - T2.StandardCost) * SUM(T1.Quantity), T2.Name FROM ShoppingCartItem AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID, T2.Name, T2.ListPrice, T2.StandardCost, T1.Quantity ORDER BY SUM(T1.Quantity) DESC LIMIT 1	works_cycles
SELECT T2.OrderQty - T2.ReceivedQty, VendorID FROM PurchaseOrderHeader AS T1 INNER JOIN PurchaseOrderDetail AS T2 ON T1.PurchaseOrderID = T2.PurchaseOrderID ORDER BY T2.OrderQty - T2.ReceivedQty DESC LIMIT 1	works_cycles
SELECT T1.AverageLeadTime, T1.LastReceiptCost - T1.StandardPrice, T4.AddressLine1, T4.AddressLine2 , T4.City, T4.PostalCode FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN BusinessEntityAddress AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID INNER JOIN Address AS T4 ON T3.AddressID = T4.AddressID WHERE T1.ProductID = 843	works_cycles
SELECT COUNT(BusinessEntityID) FROM SalesPerson WHERE Bonus = 0	works_cycles
SELECT COUNT(SalesTaxRateID) FROM SalesTaxRate WHERE Name LIKE '%+%'	works_cycles
SELECT ActualCost FROM TransactionHistory WHERE TransactionType = 'P' ORDER BY ActualCost DESC LIMIT 1	works_cycles
SELECT Status FROM SalesOrderHeader ORDER BY Freight DESC LIMIT 1	works_cycles
SELECT COUNT(ProductID) FROM ProductVendor WHERE OnOrderQty = 0	works_cycles
SELECT LastReceiptCost - StandardPrice FROM ProductVendor ORDER BY LastReceiptCost - StandardPrice DESC LIMIT 1	works_cycles
SELECT ReviewerName FROM ProductReview WHERE Rating = ( SELECT Rating FROM ProductReview ORDER BY Rating DESC LIMIT 1 )	works_cycles
SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID ORDER BY COUNT(T1.ProductReviewID) DESC LIMIT 1	works_cycles
SELECT COUNT(T1.ProductID) FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.MakeFlag = 0 AND T1.Rating != 5	works_cycles
SELECT T1.Comments FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.FinishedGoodsFlag = 1 GROUP BY T1.Comments ORDER BY COUNT(T1.ProductReviewID) DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 USING (ProductID) WHERE T2.FinishedGoodsFlag = 1 AND T2.MakeFlag = 1 GROUP BY T2.Name ORDER BY COUNT(T1.COMMENTS) > 10	works_cycles
SELECT T2.NAME FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.FinishedGoodsFlag = 1 GROUP BY T2.NAME ORDER BY COUNT(T1.comments) > 10	works_cycles
SELECT T1.ReviewerName FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Class = 'M' AND T2.Style = 'W' AND T1.Rating = 5	works_cycles
SELECT T2.Class FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T2.Class ORDER BY COUNT(T1.ProductReviewID) DESC LIMIT 1	works_cycles
SELECT T1.EmailAddress FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Class = 'H'	works_cycles
SELECT T2.Name FROM ProductListPriceHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T2.Name ORDER BY COUNT(T1.ListPrice) > 3	works_cycles
SELECT T1.Description FROM ProductDescription AS T1 INNER JOIN Product AS T2 WHERE T2.Name = 'Headset Ball Bearings' AND T1.productDescriptionID = T2.ProductID	works_cycles
SELECT T1.StandardPrice FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Hex Nut 5' ORDER BY T1.StandardPrice DESC LIMIT 1	works_cycles
SELECT T1.StandardPrice FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Hex Nut 5' GROUP BY T1.StandardPrice ORDER BY COUNT(T1.StandardPrice) DESC LIMIT 1	works_cycles
SELECT COUNT(DISTINCT T3.Name) FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Name = 'Hex Nut 5' AND T3.CreditRating = 1 AND 3	works_cycles
SELECT T3.PurchasingWebServiceURL FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Name = 'Hex Nut 5'	works_cycles
SELECT T3.Name FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Name = 'Hex Nut 5' ORDER BY T1.StandardPrice LIMIT 1	works_cycles
SELECT COUNT(T2.Name) FROM ProductVendor AS T1 INNER JOIN Product AS T2 USING (ProductID) INNER JOIN Vendor AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.PreferredVendorStatus = 1 AND T2.Class = 'M'	works_cycles
SELECT T2.ListPrice FROM Product AS T1 INNER JOIN ProductListPriceHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'LL Fork'	works_cycles
SELECT SUM(CASE WHEN T1.ProductLine = 'M' THEN 1 ELSE 0 END) FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID GROUP BY T1.ProductID HAVING COUNT(T1.Name) > 2	works_cycles
SELECT SUM(CASE WHEN T2.ProductLine = 'M' THEN 1 ELSE 0 END) FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID HAVING COUNT(T1.ProductReviewID) > 1	works_cycles
SELECT T1.EmailAddress FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'HL Mountain Pedal' ORDER BY T1.Rating LIMIT 1	works_cycles
SELECT COUNT(T2.ProductID) FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.OnOrderQty IS NULL OR T1.OnOrderQty = 0	works_cycles
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.MakeFlag = 0 AND (T1.OnOrderQty IS NULL OR T1.OnOrderQty = 0)	works_cycles
SELECT SUM(CASE WHEN T2.ProductLine = 'M' THEN 1 ELSE 0 END) FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.FinishedGoodsFlag = 1 GROUP BY T1.ProductID ORDER BY COUNT(T1.ProductReviewID) DESC LIMIT 1	works_cycles
SELECT SUM(T1.StandardPrice) / COUNT(T1.BusinessEntityID) FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Hex Nut 5'	works_cycles
SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.ProductLine = 'M' GROUP BY T2.Name ORDER BY CAST(SUM(T1.Rating) AS REAL) / COUNT(T1.ProductID) DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.MakeFlag = 1 GROUP BY T2.Name ORDER BY SUM(T1.Rating) DESC LIMIT 1	works_cycles
SELECT FirstName, LastName FROM Person WHERE PersonType = 'EM' ORDER BY BusinessEntityID	works_cycles
SELECT FirstName, MiddleName, LastName FROM Person WHERE LastName = 'Anderson' AND PersonType = 'IN'	works_cycles
SELECT T1.FirstName, T1.LastName, T2.HireDate FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeeDepartmentHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T3.EndDate IS NOT NULL	works_cycles
SELECT T1.FirstName, T1.LastName FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T2.HireDate) >= '2007' AND T2.SalariedFlag = 1	works_cycles
SELECT T1.FirstName, T1.LastName FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.MaritalStatus = 'M' AND T2.VacationHours < 20	works_cycles
SELECT T1.FirstName, T1.LastName , STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', BirthDate) FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeeDepartmentHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T3.ShiftId = 3 ORDER BY STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', BirthDate) DESC LIMIT 1	works_cycles
SELECT T1.FirstName, T1.LastName FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeeDepartmentHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID INNER JOIN Department AS T4 ON T3.DepartmentID = T4.DepartmentID WHERE STRFTIME('%Y', T2.HireDate) = '2009' AND T4.Name = 'Shipping and Receiving'	works_cycles
SELECT T2.JobTitle, T4.Name FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeeDepartmentHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID INNER JOIN Department AS T4 ON T3.DepartmentID = T4.DepartmentID ORDER BY T2.HireDate LIMIT 1	works_cycles
SELECT AVG(T1.Rate) FROM EmployeePayHistory AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T1.RateChangeDate = ( SELECT MAX(T1.RateChangeDate) FROM EmployeePayHistory AS T1 INNER JOIN Department AS T2 ON T1.BusinessEntityID = T2.DepartmentID )	works_cycles
SELECT T2.FirstName, T2.LastName FROM EmployeePayHistory AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T3.JobTitle NOT LIKE 'Chief Executive Officer' ORDER BY T1.Rate DESC LIMIT 1	works_cycles
SELECT T1.Name FROM Vendor AS T1 INNER JOIN ProductVendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.ProductID = 319 ORDER BY T2.AverageLeadTime LIMIT 1	works_cycles
SELECT T3.Name FROM Vendor AS T1 INNER JOIN ProductVendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID WHERE T1.Name = 'Australia Bike Retailer'	works_cycles
SELECT T1.Name FROM Vendor AS T1 INNER JOIN ProductVendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.ProductID = 342 ORDER BY T2.LastReceiptCost - T2.StandardPrice DESC LIMIT 1	works_cycles
SELECT T2.Rate , (MAX(T2.Rate) - MIN(T2.Rate)) * 100 / MAX(T2.Rate) FROM Person AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Rob' AND T1.LastName = 'Walters'	works_cycles
SELECT AVG(STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.HireDate)) FROM Employee AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T3.Name = 'Research and Development'	works_cycles
SELECT AVG(STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', BirthDate)) FROM Employee	works_cycles
SELECT CAST(SUM(CASE WHEN JobTitle = 'Sales Representative' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(BusinessEntityID) FROM Employee	works_cycles
SELECT T1.FirstName, T1.LastName, T2.PhoneNumber FROM Person AS T1 INNER JOIN PersonPhone AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.JobTitle = 'Marketing Manager'	works_cycles
SELECT T3.FirstName, T3.LastName FROM CreditCard AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.CreditCardID = T2.CreditCardID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.CardType = 'Distinguish'	works_cycles
SELECT T4.Name FROM Store AS T1 INNER JOIN SalesPerson AS T2 ON T1.SalesPersonID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID INNER JOIN SalesTerritory AS T4 ON T2.TerritoryID = T4.TerritoryID WHERE T1.Name = 'Area Bike Accessories'	works_cycles
SELECT T3.Name, T4.FirstName, T4.LastName FROM SalesTerritory AS T1 INNER JOIN Customer AS T2 ON T1.TerritoryID = T2.TerritoryID INNER JOIN Store AS T3 ON T2.StoreID = T3.BusinessEntityID INNER JOIN Person AS T4 ON T2.PersonID = T4.BusinessEntityID WHERE T1.Name = 'France'	works_cycles
SELECT T1.Name, T3.Name FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE STRFTIME('%Y', T1.SellStartDate) = '2013'	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM SalesPerson AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.SalesYTD DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaxOrderQty = 1000 AND T2.StandardCost > 17	works_cycles
SELECT T2.FirstName, T2.LastName, T1.JobTitle FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'M' AND T1.MaritalStatus = 'M' ORDER BY T1.BirthDate LIMIT 1	works_cycles
SELECT T3.Name FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Vendor AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.ProductNumber = 'WB-H098'	works_cycles
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.ProductID = 348 ORDER BY T1.AverageLeadTime ASC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE STRFTIME('%Y', T1.BirthDate) > '1970' ORDER BY T1.SickLeaveHours LIMIT 1	works_cycles
SELECT STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.BirthDate) + 1 , T3.Name FROM Employee AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 USING (BusinessEntityID) INNER JOIN Department AS T3 USING (DepartmentID) ORDER BY T1.BirthDate DESC LIMIT 1	works_cycles
SELECT DISTINCT ProductCategoryID FROM ProductSubcategory LIMIT 3	works_cycles
SELECT SalesYTD - SalesQuota FROM SalesPerson WHERE BusinessEntityID = 288	works_cycles
SELECT BusinessEntityID FROM SalesPerson ORDER BY SalesLastYear LIMIT 3	works_cycles
SELECT TerritoryID FROM SalesTerritory ORDER BY SalesYTD DESC LIMIT 3	works_cycles
SELECT Type FROM SpecialOffer WHERE Category = 'Reseller'	works_cycles
SELECT DiscountPct FROM SpecialOffer WHERE Type = 'Excess Inventory' ORDER BY DiscountPct DESC LIMIT 1	works_cycles
SELECT PlannedCost - ActualCost FROM WorkOrderRouting WHERE ProductID = 818	works_cycles
SELECT COUNT(*) FROM BillOfMaterials WHERE BOMLevel = 2 AND EndDate IS NULL	works_cycles
SELECT COUNT(DocumentNode) FROM Document WHERE Status = 2 AND DocumentSummary IS NULL	works_cycles
SELECT SalesTaxRateID FROM SalesTaxRate WHERE Name LIKE '%+%'	works_cycles
SELECT TransactionID FROM TransactionHistory WHERE TransactionType = 'W' ORDER BY Quantity DESC LIMIT 1	works_cycles
SELECT Name FROM Vendor WHERE PreferredVendorStatus = 0 LIMIT 3	works_cycles
SELECT COUNT(BusinessEntityID) FROM Vendor WHERE PreferredVendorStatus = 0 AND ActiveFlag = 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Shift AS T2 ON T1.ShiftId = T2.ShiftId WHERE T2.ShiftId = 3 AND STRFTIME('%Y', T2.StartTime) >= '2009'	works_cycles
SELECT T3.Name FROM EmployeeDepartmentHistory AS T1 INNER JOIN Shift AS T2 ON T1.ShiftId = T2.ShiftId INNER JOIN Department AS T3 ON T1.DepartmentID = T3.DepartmentID WHERE T2.Name = 'Night' GROUP BY T3.Name ORDER BY COUNT(T1.BusinessEntityID) DESC LIMIT 1	works_cycles
SELECT COUNT(*) FROM ShipMethod AS T1 INNER JOIN SalesOrderHeader AS T2 USING (ShipMethodID) WHERE T1.Name = 'XRQ - TRUCK GROUND'	works_cycles
SELECT T2.Name FROM SalesOrderHeaderSalesReason AS T1 INNER JOIN SalesReason AS T2 ON T1.SalesReasonID = T2.SalesReasonID WHERE T1.SalesOrderID = 43718	works_cycles
SELECT T1.Name FROM ProductSubcategory AS T1 INNER JOIN ProductCategory AS T2 ON T1.ProductCategoryID = T2.ProductCategoryID WHERE T2.name = 'Bikes'	works_cycles
SELECT T2.Name FROM SalesPerson AS T1 INNER JOIN SalesTerritory AS T2 ON T1.TerritoryID = T2.TerritoryID GROUP BY T1.TerritoryID ORDER BY SUM(T1.SalesQuota) DESC LIMIT 1	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN SalesOrderDetail AS T2 ON T1.ProductID = T2.ProductID WHERE T2.SalesOrderID = 43660	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN SalesOrderDetail AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.Name ORDER BY SUM(T2.OrderQty) DESC LIMIT 0, 5	works_cycles
SELECT T2.Shelf FROM Product AS T1 INNER JOIN ProductInventory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Down Tube'	works_cycles
SELECT T2.Name FROM BusinessEntityAddress AS T1 INNER JOIN AddressType AS T2 ON T1.AddressTypeID = T2.AddressTypeID INNER JOIN Store AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.Name = 'Fun Toys and Bikes'	works_cycles
SELECT T1.Name FROM ContactType AS T1 INNER JOIN BusinessEntityContact AS T2 ON T1.ContactTypeID = T2.ContactTypeID INNER JOIN Store AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T3.Name = 'Next-Door Bike Store'	works_cycles
SELECT T2.ReferenceOrderID FROM Product AS T1 INNER JOIN TransactionHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Mountain End Caps'	works_cycles
SELECT T1.AddressLine1 FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 ON T1.AddressID = T2.AddressID WHERE T2.BusinessEntityID = 12	works_cycles
SELECT T2.BusinessEntityID FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 ON T1.AddressID = T2.AddressID WHERE T1.City = 'Dallas' LIMIT 3	works_cycles
SELECT T2.Name FROM Address AS T1 INNER JOIN StateProvince AS T2 ON T1.StateProvinceID = T2.StateProvinceID WHERE T1.City = 'Racine'	works_cycles
SELECT CAST(SUM(CASE WHEN T1.Name = 'Arabic' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T1.Name = 'Thai' THEN 1 ELSE 0 END) FROM Culture AS T1 INNER JOIN ProductModelProductDescriptionCulture AS T2 ON T1.CultureID = T2.CultureID	works_cycles
SELECT CAST(SUM(CASE WHEN T1.SalesQuota > 300000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM SalesPerson AS T1 INNER JOIN SalesTerritory AS T2 ON T1.TerritoryID = T2.TerritoryID WHERE T2.CountryRegionCode = 'US' AND T2.Name = 'Northwest'	works_cycles
SELECT T2.LastReceiptCost - T2.StandardPrice FROM Product AS T1 INNER JOIN ProductVendor AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name LIKE '%Crankarm%'	works_cycles
SELECT T1.Name FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Rating = ( SELECT Rating FROM ProductReview ORDER BY Rating DESC LIMIT 1 )	works_cycles
SELECT Rate FROM EmployeePayHistory WHERE PayFrequency = 1 ORDER BY Rate DESC LIMIT 1, 1	works_cycles
SELECT COUNT(CreditCardID) FROM CreditCard WHERE CardType = 'Vista' AND ExpYear < 2007	works_cycles
SELECT StartTime FROM Shift WHERE Name = 'Night'	works_cycles
SELECT Weight FROM Product WHERE WeightUnitMeasureCode = 'LB' GROUP BY Weight ORDER BY COUNT(Style) DESC LIMIT 1	works_cycles
SELECT SalesLastYear - SalesYTD, Name, CountryRegionCode FROM SalesTerritory ORDER BY SalesLastYear - SalesYTD DESC LIMIT 1	works_cycles
SELECT Name, ReorderPoint FROM Product WHERE SizeUnitMeasureCode = 'CM' ORDER BY Size DESC LIMIT 6	works_cycles
SELECT TotalDue FROM PurchaseOrderHeader ORDER BY Freight DESC LIMIT 2, 1	works_cycles
SELECT 10 * (ListPrice - StandardCost) FROM Product WHERE Weight IS NOT NULL ORDER BY Weight LIMIT 1	works_cycles
SELECT TaxAmt, PurchaseOrderID FROM PurchaseOrderHeader ORDER BY TaxAmt DESC LIMIT 1	works_cycles
SELECT COUNT(BusinessEntityID) FROM SalesPersonQuotaHistory WHERE SalesQuota < 500000	works_cycles
SELECT T3.StartTime, T3.EndTime FROM Employee AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Shift AS T3 ON T2.ShiftId = T3.ShiftId WHERE STRFTIME('%Y', T1.BirthDate) < '1969' ORDER BY T1.BirthDate LIMIT 5, 1	works_cycles
SELECT T1.Name, T2.Rating FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T1.DaysToManufacture = ( SELECT DaysToManufacture FROM Product ORDER BY DaysToManufacture LIMIT 1 ) ORDER BY T1.ListPrice - T1.StandardCost DESC LIMIT 1	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM SalesPerson AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Bonus < 1000	works_cycles
SELECT T2.EndDate FROM Employee AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T1.JobTitle = 'Senior Tool Designer' AND STRFTIME('%Y', T1.HireDate) - STRFTIME('%Y', T1.BirthDate) = 33 AND T2.EndDate IS NOT NULL	works_cycles
SELECT SUM(T2.TotalDue) FROM Vendor AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.BusinessEntityID = T2.VendorID WHERE T1.CreditRating = 4 AND T1.PreferredVendorStatus = 0	works_cycles
SELECT T3.Name FROM Shift AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.ShiftId = T2.ShiftId INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID GROUP BY T2.DepartmentID ORDER BY COUNT(T1.Name = 'Night') DESC LIMIT 1	works_cycles
SELECT 2 * (T1.ListPrice - T1.StandardCost) FROM Product AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID WHERE T1.Class = 'H' AND T1.Color = 'Black' AND T1.Size = 58 AND T2.Name = 'Road Bikes'	works_cycles
SELECT T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.JobTitle LIKE 'Production Technician%' AND T1.Gender = 'M' AND T1.MaritalStatus = 'M' ORDER BY T1.BirthDate DESC LIMIT 10	works_cycles
SELECT T2.Name, T2.CreditRating FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.AverageLeadTime = 60 ORDER BY T1.LastReceiptCost - T1.StandardPrice DESC LIMIT 1	works_cycles
SELECT T1.LastReceiptCost - T1.StandardPrice, T2.Name FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.MaxOrderQty = 200	works_cycles
SELECT T2.FirstName, T2.LastName FROM PurchaseOrderHeader AS T1 INNER JOIN Person AS T2 ON T1.EmployeeID = T2.BusinessEntityID WHERE T2.PersonType = 'EM' AND T1.Status = 3 GROUP BY T2.FirstName, T2.LastName ORDER BY COUNT(T1.PurchaseOrderID) DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductVendor AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.MaxOrderQty ASC LIMIT 1, 1	works_cycles
SELECT T2.MinOrderQty FROM Vendor AS T1 INNER JOIN ProductVendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.ActiveFlag = 0 ORDER BY T2.MinOrderQty LIMIT 1	works_cycles
SELECT STRFTIME('%Y', T1.HireDate) - STRFTIME('%Y', T1.BirthDate), T2.FirstName, T2.MiddleName, T2.LastName FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.VacationHours <= 10 ORDER BY STRFTIME('%Y', T1.HireDate) - STRFTIME('%Y', T1.BirthDate) DESC LIMIT 1	works_cycles
SELECT T2.PersonType FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'F' AND T1.MaritalStatus = 'S' AND STRFTIME('%Y-%m-%d', T1.HireDate) BETWEEN '2008-1-1' AND '2008-12-31' GROUP BY T2.PersonType ORDER BY COUNT(T2.PersonType) DESC LIMIT 1	works_cycles
SELECT T2.ListPrice - T2.StandardCost FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ReviewerName = 'David' ORDER BY T1.Rating DESC LIMIT 1	works_cycles
SELECT T3.'Group', T2.Name FROM SalesTaxRate AS T1 INNER JOIN StateProvince AS T2 ON T1.StateProvinceID = T2.StateProvinceID INNER JOIN SalesTerritory AS T3 ON T2.TerritoryID = T3.TerritoryID ORDER BY T1.TaxRate LIMIT 1, 1	works_cycles
SELECT AVG(T1.ListPrice - T1.StandardCost), COUNT(DISTINCT T1.Size) , COUNT(DISTINCT T1.Style) FROM Product AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID WHERE T1.Class = 'L' AND T2.Name = 'Road Frames' GROUP BY T1.Class, T1.Color	works_cycles
SELECT DiscountPct FROM SpecialOffer WHERE Description = 'LL Road Frame Sale'	works_cycles
SELECT COUNT(SpecialOfferID) FROM SpecialOffer WHERE Type = 'Excess Inventory'	works_cycles
SELECT Description FROM SpecialOffer WHERE Type = 'Seasonal Discount' ORDER BY DiscountPct DESC LIMIT 1	works_cycles
SELECT Description, DiscountPct FROM SpecialOffer WHERE Category = 'Reseller' ORDER BY DiscountPct DESC LIMIT 0, 3	works_cycles
SELECT Demographics FROM Store WHERE Name = 'Valley Bicycle Specialists'	works_cycles
SELECT SUM(FinishedGoodsFlag) FROM Product WHERE MakeFlag = 1	works_cycles
SELECT SafetyStockLevel FROM Product WHERE Name = 'Chainring Bolts'	works_cycles
SELECT Name FROM Product ORDER BY StandardCost DESC LIMIT 1	works_cycles
SELECT PersonType FROM Person WHERE FirstName = 'David' AND LastName = 'Bradley'	works_cycles
SELECT COUNT(BusinessEntityID) FROM Person WHERE PersonType = 'SC' AND Title = 'Mr.'	works_cycles
SELECT T2.AddressLine1, T2.AddressLine2 FROM BusinessEntityAddress AS T1 INNER JOIN Address AS T2 ON T1.AddressID = T2.AddressID INNER JOIN Store AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.Name = 'Valley Bicycle Specialists'	works_cycles
SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT T2.PhoneNumber FROM Person AS T1 INNER JOIN PersonPhone AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.PersonType = 'SC'	works_cycles
SELECT T2.PasswordHash FROM Person AS T1 INNER JOIN Password AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.EmailPromotion = 2	works_cycles
SELECT T3.CardNumber FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT T3.ExpYear FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT T1.FirstName, T1.LastName FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T3.ExpYear = 2007 AND T1.PersonType = 'SC'	works_cycles
SELECT COUNT(T1.FirstName) FROM Person AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN CreditCard AS T3 ON T2.CreditCardID = T3.CreditCardID WHERE T3.CardType = 'Vista' AND T1.PersonType = 'SC'	works_cycles
SELECT COUNT(T3.DepartmentID) FROM Person AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT T2.DepartmentID FROM Person AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley'	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM Person AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T3.Name = 'Engineering' AND STRFTIME('%Y', T2.EndDate) > '2009' AND STRFTIME('%Y', T2.StartDate) < '2009'	works_cycles
SELECT T1.FirstName, T1.LastName FROM Person AS T1 INNER JOIN EmployeeDepartmentHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T2.DepartmentID = T3.DepartmentID WHERE T3.Name = 'Engineering' ORDER BY T2.EndDate - T2.StartDate DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN Person AS T3 ON T1.BusinessEntityID WHERE T3.PersonType = 'SC' AND T2.GroupName = 'Manufacturing' AND STRFTIME('%Y', T1.EndDate) >= '2007' AND STRFTIME('%Y', T1.StartDate) <= '2007'	works_cycles
SELECT T3.CardNumber FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN CreditCard AS T3 ON T1.ModifiedDate = T3.ModifiedDate INNER JOIN PersonCreditCard AS T4 ON T3.CreditCardID = T4.CreditCardID WHERE T2.Name = 'Finance' AND T1.EndDate IS NOT NULL	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN PersonCreditCard AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID INNER JOIN CreditCard AS T4 ON T3.CreditCardID = T4.CreditCardID WHERE T4.ExpYear = 2007 AND T2.Name = 'Engineering'	works_cycles
SELECT T2.EmailAddress FROM EmployeeDepartmentHistory AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID GROUP BY T2.BusinessEntityID ORDER BY COUNT(T1.DepartmentID) DESC LIMIT 1	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Department AS T3 ON T1.DepartmentID = T3.DepartmentID WHERE T3.Name = 'Engineering' AND T2.EmailPromotion = 0	works_cycles
SELECT COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID WHERE T2.GroupName = 'Quality Assurance' AND STRFTIME('%Y', T1.StartDate) = '2007'	works_cycles
SELECT T3.Name FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID WHERE T1.Description = 'LL Road Frame Sale'	works_cycles
SELECT COUNT(DISTINCT ProductID) FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID WHERE T1.Description = 'LL Road Frame Sale'	works_cycles
SELECT CASE WHEN COUNT(T1.Description) >= 1 THEN 'Yes' ELSE 'No' END FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID WHERE T3.Name = 'Chainring Bolts'	works_cycles
SELECT COUNT(T2.ProductID) FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID INNER JOIN ProductSubcategory AS T4 ON T3.ProductSubcategoryID = T4.ProductSubcategoryID INNER JOIN ProductCategory AS T5 ON T4.ProductCategoryID = T5.ProductCategoryID WHERE T1.Description = 'LL Road Frame Sale' AND T4.Name = 'Clothing'	works_cycles
SELECT CASE WHEN T1.MakeFlag = 1 THEN T1.Name END FROM Product AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID INNER JOIN ProductCategory AS T3 ON T2.ProductCategoryID = T3.ProductCategoryID WHERE T2.ProductSubcategoryID = 3	works_cycles
SELECT CAST(SUM(365 * (STRFTIME('%Y', T1.EndDate) - STRFTIME('%Y', T1.StartDate)) + 30 * (STRFTIME('%m', T1.EndDate) - STRFTIME('%m', T1.StartDate)) + STRFTIME('%d', T1.EndDate) - STRFTIME('%d', T1.StartDate)) AS REAL) / COUNT(T1.BusinessEntityID) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID WHERE T2.Name = 'Engineering' AND T1.EndDate IS NOT NULL	works_cycles
SELECT AVG(T3.Rate) FROM EmployeeDepartmentHistory AS T1 INNER JOIN Department AS T2 ON T1.DepartmentID = T2.DepartmentID INNER JOIN EmployeePayHistory AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T2.Name = 'Engineering' AND STRFTIME('%Y', EndDate) > '2007' AND STRFTIME('%Y', T1.StartDate) < '2007'	works_cycles
SELECT (MAX(T1.ListPrice) - MIN(T1.ListPrice)) * 100 / MIN(T1.ListPrice) FROM Product AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID INNER JOIN ProductCategory AS T3 ON T2.ProductCategoryID = T3.ProductCategoryID WHERE T3.Name = 'Clothing'	works_cycles
SELECT SUM(T1.ListPrice - T1.StandardCost) / COUNT(T1.ProductID) FROM Product AS T1 INNER JOIN ProductSubcategory AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID INNER JOIN ProductCategory AS T3 ON T2.ProductCategoryID = T3.ProductCategoryID WHERE T3.Name = 'Clothing'	works_cycles
SELECT ProductID FROM ProductCostHistory WHERE StartDate LIKE '2013%' ORDER BY StandardCost LIMIT 1	works_cycles
SELECT ProductID FROM Product WHERE Color = 'Yellow'	works_cycles
SELECT BusinessEntityID FROM Person WHERE Title = 'Mr.' AND FirstName = 'Hung-Fu' AND LastName = 'Ting'	works_cycles
SELECT PhoneNumber FROM PersonPhone WHERE BusinessEntityID = 12597	works_cycles
SELECT ListPrice FROM ProductListPriceHistory WHERE ProductID = 912	works_cycles
SELECT CASE WHEN ActualCost = PlannedCost THEN 'No' ELSE 'Yes' END FROM WorkOrderRouting	works_cycles
SELECT T2.ThumbnailPhotoFileName FROM ProductProductPhoto AS T1 INNER JOIN ProductPhoto AS T2 ON T1.ProductPhotoID = T2.ProductPhotoID WHERE T1.ProductID = 979	works_cycles
SELECT DISTINCT T2.Name FROM ProductListPriceHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ListPrice > 1000	works_cycles
SELECT T1.ProductID FROM ProductListPriceHistory AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.ListPrice - T2.StandardCost DESC LIMIT 1	works_cycles
SELECT T2.Name FROM ProductInventory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.LocationID = 1 AND T1.Shelf = 'L' AND T1.Bin = 6	works_cycles
SELECT T2.Name FROM WorkOrderRouting AS T1 INNER JOIN Location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.WorkOrderID = 35493	works_cycles
SELECT T2.ProductID FROM ProductPhoto AS T1 INNER JOIN ProductProductPhoto AS T2 ON T1.ProductPhotoID = T2.ProductPhotoID WHERE T1.LargePhotoFileName LIKE '%large.gif'	works_cycles
SELECT T2.ProductID FROM ProductSubcategory AS T1 INNER JOIN Product AS T2 ON T1.ProductSubcategoryID = T2.ProductSubcategoryID WHERE T1.Name = 'Socks'	works_cycles
SELECT 100 / T2.ListPrice FROM Product AS T1 INNER JOIN ProductListPriceHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Cable Lock'	works_cycles
SELECT T2.Name FROM WorkOrder AS T1 INNER JOIN ScrapReason AS T2 ON T1.ScrapReasonID = T2.ScrapReasonID WHERE T1.WorkOrderID = 57788	works_cycles
SELECT T2.StandardCost FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name LIKE '%Sport%'	works_cycles
SELECT T2.Quantity FROM Location AS T1 INNER JOIN ProductInventory AS T2 ON T1.LocationID = T2.LocationID WHERE T2.ProductID = 476 AND T1.Name = 'Metal Storage'	works_cycles
SELECT DISTINCT T2.ProductID FROM ProductCostHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.StandardCost < ( SELECT SUM(StandardCost) / COUNT(ProductID) FROM Product )	works_cycles
SELECT (T1.ListPrice - T2.StandardCost) * 100 / T2.StandardCost FROM ProductListPriceHistory AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID = 858	works_cycles
SELECT COUNT(ProductID) FROM ProductProductPhoto WHERE ProductPhotoID != 1	works_cycles
SELECT 365 * (STRFTIME('%Y', ActualEndDate) - STRFTIME('%Y', ActualStartDate)) + 30 * (STRFTIME('%m', ActualEndDate) - STRFTIME('%m', ActualStartDate)) + STRFTIME('%d', ActualEndDate) - STRFTIME('%d', ActualStartDate) FROM WorkOrderRouting WHERE WorkOrderID = 425	works_cycles
SELECT ProductID FROM ProductListPriceHistory WHERE StartDate LIKE '2012%' ORDER BY ListPrice DESC LIMIT 1	works_cycles
SELECT StandardCost FROM ProductCostHistory WHERE ProductID = 847	works_cycles
SELECT OrganizationLevel FROM Employee WHERE JobTitle = 'Human Resources Manager'	works_cycles
SELECT COUNT(WorkOrderID) FROM WorkOrder WHERE EndDate > DueDate	works_cycles
SELECT T2.StandardCost, T2.ProductNumber FROM ProductCostHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID = 888	works_cycles
SELECT COUNT(DISTINCT T2.ProductID) FROM ProductPhoto AS T1 INNER JOIN ProductProductPhoto AS T2 ON T1.ProductPhotoID = T2.ProductPhotoID WHERE T1.LargePhotoFileName = 'roadster_black_large.gif'	works_cycles
SELECT T2.LocationID, T2.Shelf, T2.Bin FROM Product AS T1 INNER JOIN ProductInventory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name LIKE 'Lock Ring'	works_cycles
SELECT T2.Name FROM ProductSubcategory AS T1 INNER JOIN ProductCategory AS T2 ON T1.ProductCategoryID = T2.ProductCategoryID WHERE T1.Name = 'Road Frames'	works_cycles
SELECT T2.WorkOrderID FROM ScrapReason AS T1 INNER JOIN WorkOrder AS T2 ON T1.ScrapReasonID = T2.ScrapReasonID WHERE T1.Name = 'Handling damage'	works_cycles
SELECT T1.ListPrice - T2.StandardCost FROM ProductListPriceHistory AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductID = 792	works_cycles
SELECT T2.FirstName, T2.LastName FROM EmailAddress AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.EmailAddress = 'regina7@adventure-works.com'	works_cycles
SELECT T2.Name FROM ProductInventory AS T1 INNER JOIN Location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.ProductID = 810	works_cycles
SELECT T2.Name FROM WorkOrder AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.WorkOrderID = 2540	works_cycles
SELECT T2.ListPrice FROM Product AS T1 INNER JOIN ProductListPriceHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'AWC Logo Cap'	works_cycles
SELECT T2.WorkOrderID FROM Product AS T1 INNER JOIN WorkOrder AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Name = 'Down Tube'	works_cycles
SELECT AVG((T1.ListPrice - T2.StandardCost) * 100 / T2.StandardCost) FROM ProductListPriceHistory AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID	works_cycles
SELECT 100.0 * SUM(CASE WHEN T1.Name = 'Subassembly' THEN 1 ELSE 0 END) / COUNT(T2.WorkOrderID) FROM Location AS T1 INNER JOIN WorkOrderRouting AS T2 ON T1.LocationID = T2.LocationID	works_cycles
SELECT COUNT(OBJ_SAMPLE_ID) FROM IMG_OBJ WHERE IMG_ID = 1	image_and_language
SELECT COUNT(T1.IMG_ID) FROM ( SELECT IMG_ID FROM IMG_OBJ GROUP BY IMG_ID HAVING COUNT(OBJ_SAMPLE_ID) > 20 ) T1	image_and_language
SELECT IMG_ID FROM IMG_OBJ GROUP BY IMG_ID ORDER BY COUNT(OBJ_SAMPLE_ID) DESC LIMIT 1	image_and_language
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 1 AND OBJ_CLASS_ID = 297	image_and_language
SELECT SUM(CASE WHEN IMG_ID = 5 THEN 1 ELSE 0 END) FROM IMG_REL WHERE OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID	image_and_language
SELECT T2.X, T2.Y, T2.W, T2.H FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID WHERE T1.IMG_ID = 5 AND T1.OBJ1_SAMPLE_ID = T1.OBJ2_SAMPLE_ID	image_and_language
SELECT SUM(CASE WHEN T1.OBJ_CLASS = 'man' THEN 1 ELSE 0 END) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 1	image_and_language
SELECT COUNT(T.IMG_ID) FROM ( SELECT T2.IMG_ID FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.OBJ_CLASS = 'man' GROUP BY T2.IMG_ID ) T	image_and_language
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 1 GROUP BY T1.OBJ_CLASS	image_and_language
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 1 AND T2.OBJ1_SAMPLE_ID = 8 AND T2.OBJ2_SAMPLE_ID = 4	image_and_language
SELECT SUM(CASE WHEN T1.PRED_CLASS = 'parked on' THEN 1 ELSE 0 END) FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 1 AND T2.OBJ1_SAMPLE_ID != OBJ2_SAMPLE_ID	image_and_language
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.OBJ1_SAMPLE_ID = 14 AND T2.OBJ2_SAMPLE_ID = 14	image_and_language
SELECT SUM(CASE WHEN T1.PRED_CLASS = 'parked on' THEN 1 ELSE 0 END) FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID	image_and_language
SELECT T2.IMG_ID FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.PRED_CLASS = 'parked on' AND T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID GROUP BY T2.IMG_ID HAVING COUNT(T2.IMG_ID) > 2	image_and_language
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 5 AND T2.OBJ1_SAMPLE_ID = T2.OBJ2_SAMPLE_ID	image_and_language
SELECT T3.X, T3.Y, T3.W, T3.H FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_CLASS_ID WHERE T2.IMG_ID = 1 AND T1.PRED_CLASS = 'by'	image_and_language
SELECT CAST(SUM(T3.Y) AS REAL) / COUNT(CASE WHEN T1.PRED_CLASS = 'parked on' THEN 1 ELSE NULL END) FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_CLASS_ID WHERE T2.IMG_ID = 1 AND T2.OBJ1_SAMPLE_ID != T2.OBJ2_SAMPLE_ID	image_and_language
SELECT CAST(COUNT(CASE WHEN T1.OBJ_CLASS = 'man' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.OBJ_CLASS_ID) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 1	image_and_language
SELECT COUNT(ATT_CLASS_ID) FROM ATT_CLASSES	image_and_language
SELECT COUNT(OBJ_CLASS_ID) FROM OBJ_CLASSES	image_and_language
SELECT COUNT(PRED_CLASS_ID) FROM PRED_CLASSES	image_and_language
SELECT T2.X, T2.Y, T2.W, T2.H FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2324765 AND T1.OBJ_CLASS = 'kite'	image_and_language
SELECT SUM(CASE WHEN T2.ATT_CLASS = 'white' THEN 1 ELSE 0 END) FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 2347915	image_and_language
SELECT SUM(CASE WHEN T2.ATT_CLASS = 'white' THEN 1 ELSE 0 END) FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 2347915	image_and_language
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 2345511 AND T2.OBJ1_SAMPLE_ID = 12 AND T2.OBJ2_SAMPLE_ID = 8	image_and_language
SELECT T2.OBJ1_SAMPLE_ID FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.IMG_ID = 2345524 AND T1.PRED_CLASS = 'lying on' AND T2.OBJ2_SAMPLE_ID = 1	image_and_language
SELECT COUNT(T2.OBJ_SAMPLE_ID) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 6 AND T1.OBJ_CLASS = 'food'	image_and_language
SELECT COUNT(T.IMG_ID) FROM ( SELECT T2.IMG_ID FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.OBJ_CLASS = 'suit' GROUP BY T2.IMG_ID ) T	image_and_language
SELECT T1.PRED_CLASS FROM PRED_CLASSES AS T1 INNER JOIN IMG_REL AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.OBJ1_SAMPLE_ID = T3.OBJ_SAMPLE_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE (T4.OBJ_CLASS = 'feathers' OR T4.OBJ_CLASS = 'onion') AND T2.IMG_ID = 2345528 GROUP BY T1.PRED_CLASS	image_and_language
SELECT T2.ATT_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T4.OBJ_CLASS = 'weeds' AND T1.IMG_ID = 2377988	image_and_language
SELECT T4.OBJ_CLASS_ID, T4.OBJ_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T2.ATT_CLASS = 'blurry' AND T1.IMG_ID = 22377993	image_and_language
SELECT SUM(CASE WHEN T1.OBJ_CLASS = 'wall' THEN 1 ELSE 0 END) FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2353079	image_and_language
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2320341 AND T2.OBJ_SAMPLE_ID = 10	image_and_language
SELECT CAST(COUNT(CASE WHEN T1.OBJ_CLASS = 'broccoli' THEN T2.OBJ_SAMPLE_ID ELSE NULL END) AS REAL) / COUNT(CASE WHEN T1.OBJ_CLASS = 'tomato' THEN T2.OBJ_SAMPLE_ID ELSE NULL END) times FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID	image_and_language
SELECT COUNT(*) FROM ( SELECT IMG_ID FROM IMG_OBJ_att GROUP BY IMG_ID HAVING COUNT(ATT_CLASS_ID) > 25 ) T1	image_and_language
SELECT DISTINCT IMG_ID FROM IMG_REL WHERE OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID	image_and_language
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_att GROUP BY IMG_ID ORDER BY COUNT(ATT_CLASS_ID) DESC LIMIT 1	image_and_language
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS IN ('bus', 'train', 'aeroplane', 'car', 'etc')	image_and_language
SELECT ATT_CLASS_ID FROM ATT_CLASSES WHERE ATT_CLASS = 'very large'	image_and_language
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS = 'onion'	image_and_language
SELECT T2.ATT_CLASS FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 8	image_and_language
SELECT T2.X, T2.Y, T2.W, T2.H FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID WHERE T1.PRED_CLASS_ID = 144 AND T1.IMG_ID = 3	image_and_language
SELECT COUNT(IMGID) FROM ( SELECT T1.IMG_ID AS IMGID FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.ATT_CLASS = 'black' GROUP BY T1.IMG_ID HAVING COUNT(T1.ATT_CLASS_ID) >= 5 ) T3	image_and_language
SELECT T1.PRED_CLASS_ID FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID ORDER BY T2.H DESC LIMIT 1	image_and_language
SELECT T1.IMG_ID AS IMGID FROM IMG_OBJ_att AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.ATT_CLASS = 'white' GROUP BY T1.IMG_ID ORDER BY COUNT(T1.ATT_CLASS_ID) DESC LIMIT 1	image_and_language
SELECT T2.X, T2.Y FROM IMG_REL AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.IMG_ID = T2.IMG_ID WHERE T1.PRED_CLASS_ID = 98	image_and_language
SELECT COUNT(T2.PRED_CLASS_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 3050 AND T2.PRED_CLASS = 'has'	image_and_language
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.X = 0 AND T2.Y = 0 GROUP BY T1.OBJ_CLASS	image_and_language
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN pred_classes AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.OBJ1_SAMPLE_ID = T1.OBJ2_SAMPLE_ID GROUP BY T2.PRED_CLASS	image_and_language
SELECT T2.X, T2.Y, T2.H, T2.W FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.IMG_ID = 2222 AND T1.OBJ_CLASS = 'feathers'	image_and_language
SELECT COUNT(T2.PRED_CLASS_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.OBJ1_SAMPLE_ID != T1.OBJ2_SAMPLE_ID AND T2.PRED_CLASS = 'on'	image_and_language
SELECT T1.OBJ_CLASS FROM OBJ_CLASSES AS T1 INNER JOIN IMG_OBJ AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.X = 0 AND T2.Y = 0 AND T2.W = 135 AND T2.H = 212	image_and_language
SELECT T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 3 AND T2.OBJ_CLASS = 'keyboard'	image_and_language
SELECT T1.X, T1.Y FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 6 AND T2.OBJ_CLASS = 'folk'	image_and_language
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 285930 AND T2.OBJ_CLASS = 'onion'	image_and_language
SELECT SUM(IIF(T1.IMG_ID = 1, 1, 0)), SUM(IIF(T1.X = 341 AND T1.Y = 27 AND T1.W = 42 AND T1.H = 51, 1, 0)) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID	image_and_language
SELECT T2.ATT_CLASS FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 5 GROUP BY T2.ATT_CLASS HAVING COUNT(T2.ATT_CLASS) > 2	image_and_language
SELECT T4.ATT_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T2.OBJ_CLASS = 'wall' AND T1.IMG_ID = 27 GROUP BY T4.ATT_CLASS	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T4.ATT_CLASS = 'scattered' AND T1.IMG_ID = 10 GROUP BY T2.OBJ_CLASS	image_and_language
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'bridge'	image_and_language
SELECT CAST(COUNT(OBJ_CLASS_ID) AS REAL) / COUNT(DISTINCT IMG_ID) FROM IMG_OBJ	image_and_language
SELECT T4.ATT_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T2.OBJ_CLASS = 'van' AND T1.IMG_ID = 1 GROUP BY T4.ATT_CLASS	image_and_language
SELECT DISTINCT T2.OBJ_CLASS, T4.ATT_CLASS, T6.PRED_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID INNER JOIN IMG_REL AS T5 ON T1.IMG_ID = T5.IMG_ID INNER JOIN PRED_CLASSES AS T6 ON T5.PRED_CLASS_ID = T6.PRED_CLASS_ID WHERE T1.IMG_ID = 1 AND T1.X = 388 AND T1.Y = 369 AND T1.W = 48 AND T1.H = 128	image_and_language
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 1 AND T1.OBJ1_SAMPLE_ID = 25 AND T1.OBJ2_SAMPLE_ID = 2	image_and_language
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_ATT WHERE IMG_ID = 4 AND OBJ_SAMPLE_ID = 7	image_and_language
SELECT COUNT(OBJ_CLASS_ID) FROM IMG_OBJ WHERE IMG_ID = 31	image_and_language
SELECT ATT_CLASS_ID FROM IMG_OBJ_ATT WHERE IMG_ID = 20 GROUP BY ATT_CLASS_ID ORDER BY COUNT(ATT_CLASS_ID) DESC LIMIT 1	image_and_language
SELECT X, Y, W, H FROM IMG_OBJ WHERE IMG_ID = 42 AND OBJ_SAMPLE_ID = 7	image_and_language
SELECT CAST(SUM(CASE WHEN T2.ATT_CLASS = 'white' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(OBJ_SAMPLE_ID) FROM IMG_OBJ_ATT AS T1 INNER JOIN ATT_CLASSES AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.IMG_ID = 99	image_and_language
SELECT COUNT(ATT_CLASS_ID) FROM IMG_OBJ_ATT WHERE IMG_ID = 5	image_and_language
SELECT OBJ_CLASS FROM OBJ_CLASSES WHERE OBJ_CLASS_ID = 10	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 422 AND T1.Y = 63 AND T1.W = 77 AND T1.H = 363	image_and_language
SELECT PRED_CLASS FROM PRED_CLASSES WHERE PRED_CLASS_ID = 12	image_and_language
SELECT X, Y, W, H FROM IMG_OBJ WHERE IMG_ID = 8	image_and_language
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'tip' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 908	image_and_language
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'kitchen' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 41	image_and_language
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'paint'	image_and_language
SELECT SUM(CASE WHEN T1.IMG_ID = 2315533 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'clouds'	image_and_language
SELECT OBJ_CLASS_ID FROM OBJ_CLASSES WHERE OBJ_CLASS = 'onion'	image_and_language
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1344 AND T2.OBJ_CLASS = 'spoon'	image_and_language
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'surface' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OBJ_CLASS_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 2654	image_and_language
SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'wood'	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID ORDER BY T1.H DESC LIMIT 1	image_and_language
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'airplane' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.OBJ_CLASS) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID	image_and_language
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'animal' AND T1.IMG_ID = 660	image_and_language
SELECT SUM(CASE WHEN T2.OBJ_CLASS = 'bed' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1098	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID ORDER BY T1.H LIMIT 1	image_and_language
SELECT T1.X, T1.Y, T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 250 AND T2.OBJ_CLASS = 'kitchen'	image_and_language
SELECT IMG_ID FROM IMG_OBJ GROUP BY IMG_ID HAVING COUNT(IMG_ID) > 20	image_and_language
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 8 ORDER BY W DESC LIMIT 1	image_and_language
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 5 AND X = 634 AND Y = 468	image_and_language
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ_ATT GROUP BY OBJ_SAMPLE_ID ORDER BY COUNT(OBJ_SAMPLE_ID) DESC LIMIT 1	image_and_language
SELECT CAST(SUM(CASE WHEN IMG_ID = 1 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN IMG_ID = 6 THEN 1 ELSE 0 END) FROM IMG_OBJ	image_and_language
SELECT CAST(COUNT(OBJ_SAMPLE_ID) AS REAL) / COUNT(DISTINCT IMG_ID) FROM IMG_OBJ	image_and_language
SELECT DISTINCT T2.IMG_ID FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'wired'	image_and_language
SELECT DISTINCT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 10	image_and_language
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T3.IMG_ID = 1314 AND T4.OBJ_CLASS = 'tip'	image_and_language
SELECT DISTINCT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T2.PRED_CLASS_ID = T1.PRED_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T1.IMG_ID = T3.IMG_ID AND T1.OBJ1_SAMPLE_ID = T3.OBJ_SAMPLE_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.IMG_ID = 2360078 AND T1.OBJ1_SAMPLE_ID = 15 OR T1.OBJ2_SAMPLE_ID = 18	image_and_language
SELECT COUNT(T2.OBJ_SAMPLE_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'polka dot'	image_and_language
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T2.IMG_ID = 400 ORDER BY T3.W DESC LIMIT 1	image_and_language
SELECT OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID GROUP BY T2.OBJ_CLASS ORDER BY COUNT(T1.OBJ_CLASS_ID) DESC LIMIT 1	image_and_language
SELECT T1.H, T1.W FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1 AND T2.OBJ_CLASS = 'van'	image_and_language
SELECT T3.OBJ_SAMPLE_ID, T3.X, T3.Y FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T3.IMG_ID = 1 AND T1.ATT_CLASS = 'sparse'	image_and_language
SELECT CAST(SUM(CASE WHEN T2.OBJ_CLASS = 'street lights' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OBJ_SAMPLE_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID	image_and_language
SELECT CAST(COUNT(T1.OBJ_SAMPLE_ID) AS REAL) * 100 / COUNT(CASE WHEN T1.IMG_ID = 5 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'windows'	image_and_language
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE X = 5 AND Y = 5	image_and_language
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE OBJ_SAMPLE_ID < 15	image_and_language
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE OBJ_CLASS_ID = 10	image_and_language
SELECT IMG_ID FROM IMG_REL GROUP BY PRED_CLASS_ID HAVING COUNT(DISTINCT OBJ1_SAMPLE_ID) != 0 AND COUNT(DISTINCT OBJ2_SAMPLE_ID) != 0	image_and_language
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'vegetables' OR T2.OBJ_CLASS = 'fruits'	image_and_language
SELECT DISTINCT T1.IMG_ID FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.PRED_CLASS = 'parked on'	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 5 AND T1.Y = 5	image_and_language
SELECT COUNT(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard'	image_and_language
SELECT T1.W, T1.H FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard' AND T1.X = 5 AND T1.Y = 647	image_and_language
SELECT T2.IMG_ID FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'horse'	image_and_language
SELECT T3.X, T3.Y FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.ATT_CLASS = 'horse' AND T4.OBJ_CLASS = 'fur'	image_and_language
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.IMG_ID = 15	image_and_language
SELECT COUNT(T1.IMG_ID) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T2.PRED_CLASS = 'reading'	image_and_language
SELECT COUNT(T2.IMG_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T1.ATT_CLASS = 'picture'	image_and_language
SELECT COUNT(T2.IMG_ID) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID INNER JOIN OBJ_CLASSES AS T4 ON T3.OBJ_CLASS_ID = T4.OBJ_CLASS_ID WHERE T1.ATT_CLASS = 'picture' AND T4.OBJ_CLASS = 'bear'	image_and_language
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T3.X = 5 AND T3.Y = 5	image_and_language
SELECT AVG(T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'keyboard'	image_and_language
SELECT CAST(COUNT(CASE WHEN T2.OBJ_CLASS = 'man' THEN 1 ELSE 0 END) AS REAL) / COUNT(CASE WHEN T2.OBJ_CLASS = 'person' THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID	image_and_language
SELECT OBJ_SAMPLE_ID FROM IMG_OBJ WHERE IMG_ID = 17 AND X = 0 AND Y = 0	image_and_language
SELECT W, H FROM IMG_OBJ WHERE OBJ_SAMPLE_ID = 2	image_and_language
SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE IMG_ID = 12 AND Y = 0	image_and_language
SELECT T1.ATT_CLASS FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.IMG_ID = 22	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 36 AND T1.X = 0 AND T1.Y = 0	image_and_language
SELECT T1.IMG_ID, T1.X, T1.Y FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'pizza' LIMIT 10	image_and_language
SELECT T1.IMG_ID, T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 126 AND T1.Y = 363	image_and_language
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 56 GROUP BY T2.OBJ_CLASS ORDER BY COUNT(T2.OBJ_CLASS_ID) DESC LIMIT 1	image_and_language
SELECT T1.W, T1.H, T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 22	image_and_language
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 68	image_and_language
SELECT COUNT(T2.PRED_CLASS) FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 107 AND T2.PRED_CLASS = 'has'	image_and_language
SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 4434 ORDER BY T2.PRED_CLASS DESC LIMIT 1	image_and_language
SELECT T1.X, T1.Y FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1764 AND T2.OBJ_CLASS = 'dress'	image_and_language
SELECT T3.OBJ_SAMPLE_ID, T3.X, T3.Y FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID INNER JOIN IMG_OBJ AS T3 ON T2.IMG_ID = T3.IMG_ID WHERE T3.IMG_ID = 23 AND T1.ATT_CLASS = 'cast'	image_and_language
SELECT COUNT(T1.ATT_CLASS) FROM ATT_CLASSES AS T1 INNER JOIN IMG_OBJ_ATT AS T2 ON T1.ATT_CLASS_ID = T2.ATT_CLASS_ID WHERE T2.IMG_ID = 2355735 AND T1.ATT_CLASS = 'blue'	image_and_language
SELECT T2.OBJ_CLASS, AVG(T1.W), AVG(T1.H) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 47 GROUP BY T2.OBJ_CLASS	image_and_language
SELECT firstName, lastName FROM Master WHERE birthYear = 1990 AND birthCountry != 'USA'	hockey
SELECT nameGiven FROM Master WHERE shootCatch IS NULL AND pos = 'F'	hockey
SELECT firstName, lastName FROM Master WHERE hofID IS NULL	hockey
SELECT nameGiven , nameGiven , birthYear, birthMon, birthDay FROM Master WHERE deathYear IS NULL ORDER BY birthYear DESC, birthMon DESC, birthday DESC LIMIT 1	hockey
SELECT firstName, lastName, deathYear - birthYear FROM Master WHERE shootCatch IS NULL AND deathYear IS NOT NULL	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year >= 2000 AND T2.year <= 2005 GROUP BY T2.playerID HAVING COUNT(DISTINCT T2.tmID) > 2	hockey
SELECT AVG(weight) FROM Master WHERE height > 72	hockey
SELECT DISTINCT T1.nameGiven, T1.birthCountry FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID GROUP BY T1.nameGiven, T1.birthCountry HAVING SUM(T2.Min) > 5000	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.lgID IN ('PCHA', 'NHL') GROUP BY T2.playerID HAVING COUNT(DISTINCT T2.lgID) > 1	hockey
SELECT T1.playerID, T2.year, Min FROM Master AS T1 INNER JOIN Goalies AS T2 ON T2.playerID = T1.playerID WHERE T1.deathYear IS NOT NULL ORDER BY T2.Min DESC LIMIT 1	hockey
SELECT T1.nameGiven, T1.height , T1.weight, STRFTIME('%Y', CURRENT_TIMESTAMP) - birthYear FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'COL' AND T2.year >= 2000 AND T2.year <= 2010 GROUP BY T1.playerID	hockey
SELECT T1.firstName, T1.lastName , T2.year FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.ENG >= 10	hockey
SELECT T1.firstName, T1.lastName, T2.year FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE CAST(T2.GA AS REAL) / T2.SA IS NOT NULL ORDER BY CAST(T2.GA AS REAL) / T2.SA LIMIT 1	hockey
SELECT DISTINCT T1.firstName, T1.lastName, T3.name FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T2.tmID = T3.tmID WHERE T2.year = 2005 AND T1.height < 72	hockey
SELECT DISTINCT T1.nameNick, T3.year, T3.name FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T2.tmID = T3.tmID WHERE T1.playerID = 'aubinje01'	hockey
SELECT T1.firstName, T1.lastName, T2.year, AVG(T2.Min) FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T1.playerID = ( SELECT playerID FROM Goalies GROUP BY playerID ORDER BY COUNT(playerID) DESC LIMIT 1 ) GROUP BY T1.firstName, T1.lastName, T2.year	hockey
SELECT DISTINCT T1.firstName, T1.lastName, T2.year FROM Master AS T1 INNER JOIN ( SELECT playerID, year FROM Goalies WHERE CAST(SHO AS REAL) / GA > 0.05 ) AS T2 ON T2.playerID = T1.playerID	hockey
SELECT firstName, lastName FROM Master WHERE birthCountry != deathCountry ORDER BY birthYear	hockey
SELECT nameGiven, firstNHL, firstWHA FROM Master WHERE firstNHL IS NOT NULL AND firstWHA IS NOT NULL	hockey
SELECT firstName, lastName, pos FROM Master WHERE deathYear IS NULL AND pos LIKE '%/%'	hockey
SELECT nameNick, lastNHL FROM Master ORDER BY height DESC LIMIT 1	hockey
SELECT AVG(IIF(birthYear < 1990, height, NULL)) - AVG(IIF(birthYear >= 1990, height, NULL)) FROM Master	hockey
SELECT DISTINCT firstName, lastName, T3.name FROM Goalies AS T1 INNER JOIN Master AS T2 ON T2.playerID = T1.playerID INNER JOIN Teams AS T3 ON T1.lgID = T3.lgID WHERE T1.playerID IS NOT NULL AND T2.coachID IS NOT NULL AND T2.shootCatch = 'L' AND T2.pos = 'G'	hockey
SELECT DISTINCT firstName, lastName, T3.name FROM Goalies AS T1 INNER JOIN Master AS T2 ON T2.playerID = T1.playerID INNER JOIN Teams AS T3 ON T1.lgID = T3.lgID WHERE T2.birthCountry = 'Canada' AND T2.deathYear IS NOT NULL AND T2.pos = 'G'	hockey
SELECT T1.firstName, T1.lastName, T3.year FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T2.year = T3.year AND T2.tmID = T3.tmID WHERE T1.deathYear IS NOT NULL AND T3.name = 'Boston Bruins' AND T3.rank = 1 AND T1.pos = 'G'	hockey
SELECT DISTINCT T3.name FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T2.lgID = T3.lgID AND T2.year = T3.year WHERE T1.deathYear IS NOT NULL AND T1.firstNHL < 1950	hockey
SELECT DISTINCT T2.nameGiven, T3.name, T3.year FROM Coaches AS T1 INNER JOIN Master AS T2 ON T2.coachID = T1.coachID INNER JOIN Teams AS T3 ON T1.lgID = T3.lgID WHERE T2.playerID IS NOT NULL AND T2.coachID IS NOT NULL	hockey
SELECT T2.nameGiven, T3.name FROM Coaches AS T1 INNER JOIN Master AS T2 ON T2.coachID = T1.coachID INNER JOIN Teams AS T3 ON T1.lgID = T3.lgID WHERE T1.coachID IS NOT NULL ORDER BY CAST(T1.w AS REAL) / T1.g DESC LIMIT 1	hockey
SELECT CAST(T2.W AS REAL) / T2.G, T1.firstName, T1.lastName, T2.year FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN ( SELECT coachID FROM Coaches ORDER BY CAST(w AS REAL) / g DESC LIMIT 1 ) AS T3 ON T2.coachID = T3.coachID	hockey
SELECT T2.nameGiven , T2.birthYear, T2.birthMon, T2.birthDay, T3.name FROM Goalies AS T1 INNER JOIN Master AS T2 ON T2.playerID = T1.playerID INNER JOIN Teams AS T3 ON T3.lgID = T1.lgID WHERE T3.tmID = 'MTL' GROUP BY T2.nameGiven, T2.birthYear, T2.birthMon, T2.birthDay, T3.name ORDER BY COUNT(T2.coachID) DESC LIMIT 1	hockey
SELECT DISTINCT T1.firstName, T1.lastName, T3.name FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T2.year = T3.year AND T2.tmID = T3.tmID WHERE T1.pos = 'G' AND T2.L > T2.W GROUP BY T1.firstName, T1.lastName, T3.name HAVING COUNT(T3.year) > 2	hockey
SELECT T1.firstName, T1.lastName, T2.year, CAST(T2.W AS REAL) / T2.GP FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T1.birthYear = 1987 AND T1.shootCatch IS NULL	hockey
SELECT T1.nameGiven, CAST(SUM(T2.Min) AS REAL) / SUM(T2.GP) FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T1.playerID = 'aebisda01' GROUP BY T1.nameGiven	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T1.deathYear IS NOT NULL GROUP BY T1.playerID HAVING CAST(SUM(T2.Min) AS REAL) / SUM(T2.GP) > 0.5	hockey
SELECT COUNT(note) FROM AwardsMisc WHERE note IS NOT NULL	hockey
SELECT COUNT(playerID) FROM AwardsPlayers WHERE pos = 'G' AND year = 1983	hockey
SELECT COUNT(coachID) FROM Coaches WHERE year = 2007 AND notes = 'interim'	hockey
SELECT COUNT(year) FROM CombinedShutouts WHERE year = 1977 AND `R/P` = 'R'	hockey
SELECT COUNT(tmID) FROM Goalies WHERE year = 2005 AND ENG IS NULL	hockey
SELECT DISTINCT year FROM Goalies WHERE lgID = 'NHL' AND SA IS NOT NULL	hockey
SELECT DISTINCT COUNT(tmID) FROM Goalies WHERE PostW = PostL	hockey
SELECT name FROM HOF WHERE year = 1978	hockey
SELECT COUNT(hofID) FROM HOF WHERE category = 'Builder'	hockey
SELECT COUNT(hofID) FROM HOF WHERE year > 1980 AND category = 'Player'	hockey
SELECT DISTINCT T1.nameNick FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T2.year = 2007	hockey
SELECT CASE WHEN T1.hofID IS NULL THEN 'NO' ELSE T2.year END FROM Master AS T1 LEFT JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.height = ( SELECT MAX(height) FROM Master )	hockey
SELECT DISTINCT T2.award FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.birthCountry = 'Canada'	hockey
SELECT COUNT(T2.coachID) FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.W > 30 AND T1.birthCountry = 'USA'	hockey
SELECT COUNT(T2.coachID) FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.lgID = 'NHL' AND T1.birthCountry = 'Canada'	hockey
SELECT T2.award FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.birthYear = 1952	hockey
SELECT COUNT(T1.coachID) FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 1940 AND T1.birthCity = 'Toronto'	hockey
SELECT COUNT(T1.coachID) FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.deathYear IS NOT NULL AND T2.year > 1940	hockey
SELECT DISTINCT T2.award FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.deathYear IS NOT NULL AND T2.lgID = 'NHL'	hockey
SELECT COUNT(DISTINCT T1.coachID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.weight > 195	hockey
SELECT DISTINCT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.shootCatch IS NULL	hockey
SELECT COUNT(T1.playerID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.playerID IS NOT NULL AND T1.coachID IS NOT NULL	hockey
SELECT DISTINCT T1.birthCity FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1970	hockey
SELECT COUNT(T1.playerID) FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'All-Rookie' AND T1.birthCity = 'Toronto'	hockey
SELECT COUNT(T1.playerID) FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'All-Rookie' AND T1.deathYear IS NOT NULL	hockey
SELECT COUNT(DISTINCT T1.playerID) FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T1.deathState = 'MA'	hockey
SELECT T2.award FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T1.deathCity = 'Kemptville'	hockey
SELECT DISTINCT T1.nameNick FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'All-Rookie' AND T1.birthMon = 3	hockey
SELECT COUNT(T1.playerID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.birthMon IN (7, 8)	hockey
SELECT T1.birthMon FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID GROUP BY T2.playerID ORDER BY COUNT(T2.award) DESC LIMIT 1	hockey
SELECT T1.birthYear FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID GROUP BY T1.birthYear ORDER BY COUNT(T2.award) DESC LIMIT 1	hockey
SELECT T1.birthCountry FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID GROUP BY T1.birthCountry ORDER BY COUNT(T2.award) DESC LIMIT 1	hockey
SELECT T1.birthCountry FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID GROUP BY T1.birthCountry ORDER BY COUNT(T1.playerID) DESC LIMIT 1	hockey
SELECT DISTINCT T1.pos FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCountry = 'Canada' AND T2.award = 'All-Rookie'	hockey
SELECT SUM(T1.weight / (T1.height * T1.height)) / COUNT(T1.coachID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID	hockey
SELECT CAST(COUNT(CASE WHEN T1.birthCountry = 'USA' THEN T1.playerID ELSE NULL END) AS REAL) * 100 / COUNT(T1.playerID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID	hockey
SELECT COUNT(year) FROM Goalies WHERE playerID = 'healygl01'	hockey
SELECT tmID FROM Goalies WHERE playerID = 'roypa01' AND year = 1992	hockey
SELECT GP FROM Goalies WHERE playerID = 'rutlewa01' AND year = 1967	hockey
SELECT Min FROM Goalies WHERE playerID = 'valiqst01' AND year = 2007	hockey
SELECT W FROM Goalies WHERE playerID = 'vanbijo01' AND year = 1990	hockey
SELECT `T/OL` FROM Goalies WHERE playerID = 'vernomi01' AND year = 1998	hockey
SELECT SUM(T1.W) FROM Coaches AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 1933 AND T2.award = 'Second Team All-Star'	hockey
SELECT IIF(T1.note = 'posthumous', 'YES', 'NO') FROM AwardsMisc AS T1 RIGHT JOIN Master AS T2 ON T1.ID = T2.playerID WHERE T2.legendsID = 'P194502'	hockey
SELECT T1.pos FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T1.firstName = 'Mike' AND T1.lastName = 'Antonovich'	hockey
SELECT T1.birthCountry FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 1998 AND T2.notes = 'co-coach with Dave Lewis'	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.stint = 3 ORDER BY T1.weight DESC LIMIT 1	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID GROUP BY T2.playerID, T1.height HAVING SUM(T2.ENG) > 10 ORDER BY T1.height DESC LIMIT 1	hockey
SELECT T1.shootCatch FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 2010 GROUP BY T2.playerID ORDER BY SUM(T2.SHO) DESC LIMIT 1	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 2002 AND T2.GA > 150 GROUP BY T2.playerID, T1.birthYear, T1.birthMon, T1.birthMon HAVING SUM(T2.GA) ORDER BY T1.birthYear DESC, T1.birthMon DESC, SUM(T1.birthDay) DESC LIMIT 1	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'NJD' GROUP BY T2.playerID ORDER BY SUM(T2.SA - T2.GA) DESC LIMIT 1	hockey
SELECT T2.name FROM Goalies AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID WHERE T1.year = 2010 GROUP BY T2.name ORDER BY SUM(PostENG) DESC LIMIT 1	hockey
SELECT SUM(T2.SHO) FROM Scoring AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1995 GROUP BY T2.tmID ORDER BY SUM(T2.PostSHO) DESC LIMIT 1	hockey
SELECT T2.coachID, T1.nameNick FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = 2009 ORDER BY CAST(T2.W AS REAL) / (T2.W + T2.L) DESC LIMIT 1	hockey
SELECT T1.coachID FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID WHERE T2.year = 2011 ORDER BY CAST(T2.PPG AS REAL) / T2.PPC DESC LIMIT 1	hockey
SELECT GP FROM ScoringSC WHERE playerID = 'broadpu01' AND YEAR = 1922	hockey
SELECT COUNT(year) FROM ScoringSC WHERE playerID = 'cleghsp01'	hockey
SELECT G FROM ScoringSC WHERE playerID = 'dyeba01' AND year = 1921	hockey
SELECT playerID FROM ScoringSC ORDER BY A DESC LIMIT 1	hockey
SELECT lgID FROM ScoringSC WHERE playerID = 'adamsja01' AND year = 1920	hockey
SELECT DISTINCT pos FROM ScoringSC WHERE playerID = 'hartgi01'	hockey
SELECT SUM(T2.W) FROM Goalies AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID WHERE T2.year = 2011 GROUP BY T1.tmID HAVING COUNT(DISTINCT T1.playerID) = 3	hockey
SELECT T1.birthYear FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 2008 ORDER BY T2.PostSA DESC LIMIT 1	hockey
SELECT MAX(T2.year) - MIN(T2.year) FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T1.firstName = 'Don' AND T1.lastName = 'Waddell'	hockey
SELECT T1.shootCatch FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1996 ORDER BY T2.SHO DESC LIMIT 1	hockey
SELECT T1.birthYear, T1.birthMon, birthDay FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1965 ORDER BY T2.GA DESC LIMIT 1	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1981 GROUP BY T2.playerID ORDER BY SUM(T2.`+/-`) DESC LIMIT 1	hockey
SELECT T1.weight FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year > 2000 GROUP BY T1.playerID, T1.weight ORDER BY SUM(T2.PPG) DESC LIMIT 1	hockey
SELECT T1.shootCatch FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1989 GROUP BY T2.playerID HAVING SUM(T2.SHG) = 7	hockey
SELECT T1.firstName, T1.lastName FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1986 GROUP BY T2.playerID ORDER BY SUM(T2.GWG) DESC LIMIT 1	hockey
SELECT T2.SOG FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T1.firstName = 'Cam' AND T1.lastName = 'Neely' AND T2.year = '1990'	hockey
SELECT DISTINCT T3.firstName, T3.lastName FROM Teams AS T1 INNER JOIN Coaches AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN Master AS T3 ON T2.coachID = T3.coachID WHERE T1.year = '2003' GROUP BY T3.firstName, T3.lastName ORDER BY SUM(T1.BenchMinor) DESC LIMIT 1	hockey
SELECT T1.playerID FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.year = '1978' AND T2.weight > 190 ORDER BY T1.GA DESC LIMIT 1	hockey
SELECT SUM(CASE WHEN T1.year = 2006 THEN CAST(T1.W AS REAL) * 100 / (T1.W + T1.L) ELSE 0 END) - ( SELECT CAST(W AS REAL) * 100 / (W + L) FROM Teams WHERE year = '2005' AND name = 'Vancouver Canucks' ) FROM Teams AS T1 INNER JOIN Coaches AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN Master AS T3 ON T2.coachID = T3.coachID WHERE T1.name = 'Vancouver Canucks' AND T3.firstName = 'Alain' AND T3.lastName = 'Vigneault'	hockey
SELECT T2.legendsID FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.year = 2011 ORDER BY 1 - CAST(T1.PostGA AS REAL) / T1.PostSA DESC LIMIT 1	hockey
SELECT COUNT(playerID) FROM Master WHERE playerID IS NOT NULL AND coachID IS NOT NULL	hockey
SELECT BenchMinor, name FROM Teams ORDER BY T DESC LIMIT 1	hockey
SELECT award FROM Teams AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.lgID = T2.lgID WHERE T1.lgID = 'NHL' GROUP BY T2.coachID, T2.award ORDER BY COUNT(T2.award) DESC LIMIT 1	hockey
SELECT CAST(SUM(PPG) AS REAL) * 100 / SUM(PPC) FROM Teams GROUP BY tmID ORDER BY SUM(L) DESC LIMIT 1	hockey
SELECT CAST(COUNT(name) AS REAL) / 30 FROM HOF WHERE year BETWEEN 1950 AND 1980 AND category = 'Player'	hockey
SELECT DISTINCT birthCountry, birthYear FROM Master GROUP BY birthCountry, birthYear ORDER BY COUNT(birthCountry) DESC LIMIT 1	hockey
SELECT SUM(W) FROM Goalies GROUP BY tmID ORDER BY SUM(SHO) DESC LIMIT 1	hockey
SELECT tmID FROM TeamSplits WHERE YEAR = '2005' ORDER BY rW DESC LIMIT 1	hockey
SELECT pos FROM Master WHERE birthYear IS NOT NULL ORDER BY birthYear, birthMon, birthDay LIMIT 8	hockey
SELECT SUM(PostGA) FROM Goalies WHERE lgID = 'WCHL' AND year = '1924' GROUP BY playerID ORDER BY SUM(PostGA) DESC LIMIT 1	hockey
SELECT OctL, tmID FROM TeamSplits WHERE year = '2006' ORDER BY OctL DESC LIMIT 1	hockey
SELECT COUNT(playerID) FROM Master WHERE shootCatch IS NULL AND firstNHL = '2011'	hockey
SELECT T1.year, T1.year - T2.birthYear FROM Scoring AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID GROUP BY T1.year, T1.year - T2.birthYear ORDER BY SUM(T1.G) DESC LIMIT 1	hockey
SELECT CAST(SUM(T2.height) AS REAL) / COUNT(*) FROM AwardsPlayers AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.height IS NOT NULL AND (T2.pos = 'LW' OR T2.pos = 'L/C')	hockey
SELECT SUM(T1.A), T2.firstName, T2.lastName FROM Scoring AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.lgID = 'NHL' GROUP BY T2.firstName, T2.lastName ORDER BY SUM(T1.A) DESC LIMIT 1	hockey
SELECT SUM(T1.A), T2.firstName, T2.lastName FROM Scoring AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.lgID = 'NHL' GROUP BY T2.firstName, T2.lastName ORDER BY SUM(T1.A) DESC LIMIT 1	hockey
SELECT DISTINCT T2.coachID, T1.award FROM AwardsCoaches AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID GROUP BY T2.coachID, T1.award ORDER BY SUM(T2.w) DESC LIMIT 1	hockey
SELECT T2.name FROM SeriesPost AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND tmIDLoser = tmID WHERE T1.note = 'EX' AND T2.year = '1912'	hockey
SELECT DISTINCT T3.firstNHL - T1.year, T3.nameGiven , T3.firstName, T3.lastName FROM Scoring AS T1 INNER JOIN Teams AS T2 ON T2.tmID = T1.tmID INNER JOIN Master AS T3 ON T1.playerID = T3.playerID GROUP BY T3.firstName, T3.lastName, T3.nameGiven, T3.firstNHL - T1.year, T3.firstName, T3.lastName ORDER BY SUM(T1.`+/-`) ASC LIMIT 1	hockey
SELECT T2.nameGiven FROM Scoring AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID AND T1.PIM BETWEEN 200 AND 250 AND T1.year BETWEEN 2003 AND 2005 ORDER BY T1.GP DESC LIMIT 1	hockey
SELECT T2.lastNHL - T2.birthYear FROM GoaliesSC AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.lastNHL IS NOT NULL GROUP BY T2.lastNHL, T2.birthYear ORDER BY SUM(GA) LIMIT 1	hockey
SELECT T1.pos, T2.award, T1.nameGiven, T1.lastName FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T2.coachID = T1.coachID GROUP BY T1.pos, T2.award, T1.nameGiven, T1.lastName ORDER BY COUNT(T2.award) LIMIT 1	hockey
SELECT SUM(T1.g) FROM Coaches AS T1 INNER JOIN ( SELECT coachID, year FROM AwardsCoaches WHERE award = 'Second Team All-Star' ORDER BY year LIMIT 1 ) AS T2 ON T1.coachID = T2.coachID AND T1.year < T2.year	hockey
SELECT COUNT(DISTINCT oppID), T2.tmID, T2.oppID FROM Teams AS T1 INNER JOIN TeamVsTeam AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID WHERE T2.year = 1915 GROUP BY T2.tmID, T2.oppID ORDER BY SUM(T2.W) DESC LIMIT 1	hockey
SELECT T2.nameGiven, T2.lastName FROM Scoring AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.SHG BETWEEN 1 AND 5 ORDER BY T1.GWG DESC LIMIT 1	hockey
SELECT SUM(T1.l), T1.coachID FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.notes = 'interim' AND T1.year = '1997' AND T2.name = 'Tampa Bay Lightning' GROUP BY T1.coachID	hockey
SELECT T2.rank, T2.year, T2.name FROM Scoring AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.SHA >= 7 ORDER BY T1.A DESC LIMIT 1	hockey
SELECT T1.coachID FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 1969 AND T2.rank = 4	hockey
SELECT DISTINCT T2.name FROM TeamsHalf AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.half = 1 AND T1.rank = 1 AND T1.year BETWEEN 1917 AND 1920	hockey
SELECT T2.nameGiven, T2.lastName, T2.birthYear, birthMon, birthDay , T3.tmID FROM Scoring AS T1 INNER JOIN Master AS T2 ON T2.playerID = T1.playerID INNER JOIN Teams AS T3 ON T3.tmID = T1.tmID WHERE (T2.firstNHL - T2.birthYear) BETWEEN 18 AND 24 AND T3.G < 5	hockey
SELECT CAST(SUM(BenchMinor) AS REAL) / 2 FROM Teams WHERE name = 'St. Louis Blues'	hockey
SELECT CAST(PPG AS REAL) / PPC FROM Teams WHERE year = 2009 AND name = 'New York Rangers'	hockey
SELECT SUM(Pts), year FROM Teams GROUP BY year, tmID ORDER BY SUM(Pts) DESC LIMIT 1	hockey
SELECT COUNT(tmID) FROM Teams WHERE year = 2006 AND W > L AND Pts > 100	hockey
SELECT name FROM Teams WHERE year = 2006 GROUP BY tmID, name ORDER BY CAST(SUM(BenchMinor) AS REAL) / 2 DESC LIMIT 1	hockey
SELECT name FROM Teams WHERE year = 2006 GROUP BY tmID, name ORDER BY SUM(PIM) DESC LIMIT 3	hockey
SELECT name FROM Teams WHERE year = 1995 AND name IN ('Florida Panthers', 'Edmonton Oilers', 'Los Angeles Kings') ORDER BY PKC DESC LIMIT 1	hockey
SELECT T2.name FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = '1917' AND T1.W > T1.L	hockey
SELECT T2.name FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = '1922'	hockey
SELECT COUNT(T1.tmID) FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = '1922' AND T2.Pts > 20	hockey
SELECT T1.PIM FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = '1923' AND T2.rank = 2	hockey
SELECT T2.name FROM TeamsSC AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year GROUP BY T2.name ORDER BY SUM(T1.W) DESC LIMIT 1	hockey
SELECT T1.W FROM TeamVsTeam AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 1985 AND T1.tmID = ( SELECT DISTINCT tmID FROM Teams WHERE name = 'Philadelphia Flyers' ) AND T1.oppID = ( SELECT DISTINCT tmID FROM Teams WHERE name = 'Boston Bruins' )	hockey
SELECT T2.name, T3.name FROM TeamVsTeam AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN Teams AS T3 ON T1.year = T3.year AND T1.oppID = T3.tmID WHERE T1.year = 1909 AND T1.T = 1	hockey
SELECT DISTINCT T3.firstName FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Montreal Canadiens'	hockey
SELECT COUNT(DISTINCT hofID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Montreal Canadiens'	hockey
SELECT T3.height FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Montreal Canadiens' AND T3.coachID IS NOT NULL ORDER BY T3.height DESC LIMIT 1	hockey
SELECT T3.firstName FROM Coaches AS T1 INNER JOIN TeamsSC AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.year = 1922	hockey
SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3	hockey
SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthCountry = 'USA'	hockey
SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Buffalo Sabres' AND T3.deathYear IS NOT NULL	hockey
SELECT DISTINCT nameNick FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Buffalo Sabres' AND T3.birthCountry = 'USA'	hockey
SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN TeamsSC AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.year = 1922 AND T3.birthCountry = 'USA'	hockey
SELECT T3.name FROM TeamVsTeam AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.oppID = T2.tmID INNER JOIN Teams AS T3 ON T1.year = T3.year AND T1.tmID = T3.tmID WHERE T1.year = 2000 AND T2.name = 'Buffalo Sabres' GROUP BY T3.name ORDER BY SUM(T2.G) DESC LIMIT 1	hockey
SELECT DISTINCT T3.name FROM TeamVsTeam AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.oppID = T2.tmID INNER JOIN Teams AS T3 ON T1.year = T3.year AND T1.tmID = T3.tmID WHERE T2.name = 'Buffalo Sabres'	hockey
SELECT T2.PIM FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens' AND T1.year = 1918	hockey
SELECT T2.W FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens' AND T2.PIM = 24	hockey
SELECT T1.year FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens' AND T2.PIM = 49	hockey
SELECT T3.firstName FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Montreal Canadiens' ORDER BY T1.year LIMIT 1	hockey
SELECT SUM(CAST(T2.W AS REAL) / T2.G) / COUNT(T1.oppID) FROM TeamVsTeam AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID WHERE T2.name = 'Buffalo Sabres' AND T1.year = 2000	hockey
SELECT CAST(SUM(T2.PIM) AS REAL) / COUNT(T2.PIM) FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens'	hockey
SELECT SUM(T2.W / T2.G) / SUM(T2.G + T2.W) FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens'	hockey
SELECT SUM(CAST(T2.W AS REAL) / T2.G) / SUM(T2.G + T2.W) FROM Teams AS T1 INNER JOIN TeamsSC AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.name = 'Montreal Canadiens'	hockey
SELECT name FROM HOF WHERE category IN ('Player', 'Builder') ORDER BY year DESC LIMIT 1	hockey
SELECT name, hofID FROM HOF WHERE category = 'Builder' AND year BETWEEN 1970 AND 1979	hockey
SELECT COUNT(hofID) FROM HOF WHERE category = 'Player' AND year = 1958	hockey
SELECT COUNT(playerID) FROM Master WHERE hofID IS NOT NULL AND playerID IS NOT NULL AND coachID IS NOT NULL	hockey
SELECT COUNT(playerID) FROM Master WHERE lastName = 'Green' AND coachID IS NULL	hockey
SELECT T2.BenchMinor FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T3.firstName = 'Scotty' AND T3.lastName = 'Bowman' AND T1.year = 1982	hockey
SELECT T2.firstName, T2.lastName FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.ENG = 10 ORDER BY T2.height DESC LIMIT 1	hockey
SELECT T2.shootCatch, T2.firstName, T2.lastName FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID AND T1.year = 1973 WHERE T1.tmID = 'QUN' AND T1.GP = 32	hockey
SELECT COUNT(DISTINCT T1.tmID) FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.lastName = 'Young'	hockey
SELECT T2.firstName, T2.lastName , IIF(T1.tmID = 'BOS', 'YES', 'NO') FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.year = 1972 AND T1.tmID = 'BOS' AND T2.coachID IS NOT NULL AND T2.hofID IS NULL	hockey
SELECT SUM(T1.GP) FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.legendsID = 'P196402'	hockey
SELECT T2.firstName, T2.lastName FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T1.tmID = T3.tmID AND T1.year = T3.year WHERE T3.name = 'Quebec Bulldogs' AND T2.pos = 'D' GROUP BY T1.playerID, T2.firstName, T2.lastName ORDER BY SUM(T1.Min) DESC LIMIT 1	hockey
SELECT COUNT(DISTINCT playerID) FROM Goalies AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T2.name = 'Calgary Flames'	hockey
SELECT playerID FROM Goalies AS T1 INNER JOIN Teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T2.name = 'Minnesota North Stars' GROUP BY T1.playerID ORDER BY SUM(T1.GA) DESC LIMIT 1	hockey
SELECT COUNT(DISTINCT T1.playerID) FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID INNER JOIN Teams AS T3 ON T1.tmID = T3.tmID AND T1.year = T3.year WHERE T3.name = 'Haileybury Hockey Club' AND T2.hofID IS NOT NULL	hockey
SELECT T2.shootCatch FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.year = 2010 GROUP BY T2.shootCatch ORDER BY SUM(T1.SHO) DESC LIMIT 1	hockey
SELECT CAST((SUM(CASE WHEN T1.year = 2005 THEN T1.GP ELSE 0 END) - SUM(CASE WHEN T1.year = 2006 THEN T1.GP ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T1.year = 2005 THEN T1.GP ELSE 0 END) FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.firstName = 'David' AND T2.lastName = 'Aebischer'	hockey
SELECT playerID, coachID FROM Master WHERE playerID IS NOT NULL AND coachID IS NOT NULL	hockey
SELECT DISTINCT playerID FROM Master GROUP BY playerID HAVING AVG(height) = 75	hockey
SELECT playerID FROM Master ORDER BY weight DESC LIMIT 5	hockey
SELECT DISTINCT firstName, lastName FROM Master WHERE birthCountry = 'Finland'	hockey
SELECT DISTINCT playerID FROM Master WHERE deathYear IS NOT NULL AND playerID IS NOT NULL	hockey
SELECT DISTINCT T1.firstName FROM Master AS T1 INNER JOIN Coaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year > 2000	hockey
SELECT T1.height, T1.weight FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T2.year = '1930'	hockey
SELECT SUM(T2.G), STRFTIME('%Y', CURRENT_TIMESTAMP) - T1.birthyear FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T1.playerID = 'aaltoan01' GROUP BY T1.birthyear	hockey
SELECT DISTINCT T2.coachID FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.playerID IS NULL	hockey
SELECT DISTINCT playerID FROM Master WHERE pos LIKE '%L%' AND weight > 200 AND playerID IS NOT NULL AND pos = 'L'	hockey
SELECT COUNT(T2.GP) FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCountry = 'USA'	hockey
SELECT SUM(T2.Pts), T1.coachID FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T2.tmID = T1.tmID WHERE T2.tmID = 'ANA' GROUP BY T1.coachID	hockey
SELECT SUM(T2.G) FROM Teams AS T1 INNER JOIN Scoring AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.divID = 'EW' AND T1.tmID = 'BIR' AND T1.year = 1976	hockey
SELECT SUM(T1.L), SUM(T2.A) FROM Teams AS T1 INNER JOIN Scoring AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.tmID = 'BOS' AND T1.year = 2010	hockey
SELECT SUM(T1.weight) FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1997 AND T2.tmID = 'ANA'	hockey
SELECT T2.playerID, T2.tmID FROM ( SELECT playerID FROM Master WHERE height IS NOT NULL ORDER BY height ASC LIMIT 1 ) AS T1 INNER JOIN ( SELECT DISTINCT playerID, tmID FROM Scoring WHERE year BETWEEN 1925 AND 1936 ) AS T2 ON T1.playerID = T2.playerID	hockey
SELECT DISTINCT T3.tmID, T1.birthCountry FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID INNER JOIN ( SELECT year, tmID FROM Teams WHERE year = 2000 ORDER BY W / (W + L) DESC LIMIT 1 ) AS T3 ON T2.tmID = T3.tmID AND T2.year = T3.year	hockey
SELECT CAST(T1.W AS REAL) / T1.G, T2.playerID FROM Teams AS T1 INNER JOIN Scoring AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.tmID = 'CAR' AND T1.year = 1998 GROUP BY T1.W / T1.G, T2.playerID ORDER BY SUM(T2.G) DESC LIMIT 1	hockey
SELECT Name FROM Country ORDER BY LifeExpectancy LIMIT 1	world
SELECT T1.Name FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' AND T2.IsOfficial = 'T' LIMIT 5	world
SELECT AVG(Population) FROM City WHERE District = 'Karnataka' GROUP BY ID	world
SELECT Language FROM CountryLanguage WHERE CountryCode = 'USA'	world
SELECT SUM(CASE WHEN Language = 'Portuguese' THEN 1 ELSE 0 END) FROM CountryLanguage	world
SELECT COUNT(ID) FROM City WHERE District = 'England'	world
SELECT T2.ID FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.SurfaceArea = ( SELECT MAX(SurfaceArea) FROM Country )	world
SELECT T1.Capital, T2.Population FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'San Marino'	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Turkmenistan'	world
SELECT T1.Name, T1.Capital, T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode INNER JOIN City AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' ORDER BY T1.LifeExpectancy DESC LIMIT 1	world
SELECT T1.Name, T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Antarctica' AND T2.IsOfficial = 'T'	world
SELECT T1.Name FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' AND T2.IsOfficial = 'T' LIMIT 5	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Region = 'Baltic Countries' AND T2.Percentage > 80	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Region = 'Baltic Countries' AND T2.Percentage > 80	world
SELECT T2.Name, T1.Code, T1.LifeExpectancy FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T2.Population DESC LIMIT 1	world
SELECT T1.Capital, T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode INNER JOIN City AS T3 ON T1.Code = T3.CountryCode ORDER BY T1.LifeExpectancy LIMIT 1	world
SELECT T1.Name, T1.Population, T1.Capital, T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode INNER JOIN City AS T3 ON T1.Code = T3.CountryCode WHERE T2.IsOfficial = 'T' ORDER BY T1.SurfaceArea LIMIT 1	world
SELECT CAST(SUM(IIF(T2.Language = 'English', 1, 0)) AS REAL) * 100 / COUNT(T1.Code) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode	world
SELECT District FROM City ORDER BY Population LIMIT 1	world
SELECT Continent FROM Country ORDER BY SurfaceArea LIMIT 1	world
SELECT T1.HeadOfState FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T2.Population DESC LIMIT 1	world
SELECT T1.Code FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' AND T2.IsOfficial = 'T' ORDER BY T1.Capital DESC LIMIT 1	world
SELECT T2.Name FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.LifeExpectancy = 66.4	world
SELECT T1.HeadOfState FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' ORDER BY T2.Percentage LIMIT 1	world
SELECT T1.SurfaceArea FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = 'Sutton Coldfield'	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Population < 8000	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Belgium' AND T2.IsOfficial = 'T'	world
SELECT T2.Name, T2.District FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.LocalName = 'Hajastan'	world
SELECT SUM(CASE WHEN T1.Name = 'Cyprus' THEN 1 ELSE 0 END) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Belize'	world
SELECT T2.District FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.HeadOfState = 'Adolf Ogi'	world
SELECT T1.HeadOfState FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.District = 'Santa Catarina'	world
SELECT CAST(SUM(IIF(T2.Language = 'English', 1, 0)) AS REAL) * 100 / COUNT(T1.Code) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GNP > 1500	world
SELECT COUNT(T1.GovernmentForm = 'Republic') - COUNT(T1.GovernmentForm = 'ConstitutionalMonarchy') FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English'	world
SELECT Name FROM Country WHERE IndepYear = 1994	world
SELECT Name FROM Country WHERE Continent = 'Asia'	world
SELECT Name FROM Country WHERE Continent = 'Asia' ORDER BY GNP DESC LIMIT 1	world
SELECT COUNT(ID) FROM City WHERE Name = 'PHL'	world
SELECT LocalName FROM Country WHERE Name = 'Ukraine'	world
SELECT COUNT(Code) FROM Country WHERE GovernmentForm = 'Socialistic Republic'	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'China' AND T2.IsOfficial = 'T'	world
SELECT T2.Percentage FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'China' AND T2.Language = 'Chinese'	world
SELECT T1.GovernmentForm FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = 'Manila'	world
SELECT T1.Capital FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Philipiines'	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Europe'	world
SELECT T1.HeadOfState FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = 'Pyongyang'	world
SELECT SUM(CASE WHEN T2.IsOfficial = 'F' THEN 1 ELSE 0 END) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Italy'	world
SELECT T2.Name FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Russian Federation' ORDER BY T2.Population ASC LIMIT 1	world
SELECT T2.Name FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T1.LifeExpectancy DESC LIMIT 1	world
SELECT T2.Language, T2.IsOfficial FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.IndepYear = 1830 GROUP BY T2.Language, T2.IsOfficial	world
SELECT T1.Capital FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T1.Population DESC LIMIT 1	world
SELECT T1.Name FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Continent = 'Asia' AND T2.IsOfficial = 'F' GROUP BY T1.Name	world
SELECT AVG(T1.GNP) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'Arabic'	world
SELECT CAST(SUM(IIF(T2.Language = 'Chinese', T1.SurfaceArea, 0)) AS REAL) * 100 / SUM(T1.SurfaceArea) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode	world
SELECT Name FROM Country ORDER BY SurfaceArea ASC LIMIT 1	world
SELECT Name FROM Country ORDER BY Population DESC LIMIT 1	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode ORDER BY T1.Population ASC LIMIT 1	world
SELECT T1.Name FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' AND T2.IsOfficial = 'T'	world
SELECT T1.Name, T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.IndepYear > 1990 AND T2.IsOfficial = 'T'	world
SELECT T2.Percentage FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Australia' AND T2.Language = 'English'	world
SELECT T2.Language FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.Name = 'Malaysia'	world
SELECT T1.Name FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T2.Population DESC LIMIT 1	world
SELECT T2.LifeExpectancy FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code ORDER BY T1.Population DESC LIMIT 1	world
SELECT T2.GNP FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code ORDER BY T1.Population ASC LIMIT 1	world
SELECT Name FROM ( SELECT T1.Name, T2.Language FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode GROUP BY T1.Name, T1.Population, T2.Language ORDER BY T1.Population DESC ) AS T3 GROUP BY t3.Name ORDER BY COUNT(Language) DESC LIMIT 1	world
SELECT T2.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code ORDER BY T1.Population DESC, T2.SurfaceArea DESC LIMIT 1	world
SELECT T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.Name = 'China'	world
SELECT T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.LocalName = '´Uman'	world
SELECT AVG(T1.LifeExpectancy) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'Arabic'	world
SELECT CAST((T1.GNP - T1.GNPOld) AS REAL) / T1.GNPOld FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T2.Name = 'Shanghai'	world
SELECT District FROM City WHERE name = 'Zaanstad'	world
SELECT Name FROM City ORDER BY Population DESC LIMIT 1	world
SELECT District FROM City WHERE population = 201843	world
SELECT Name FROM Country ORDER BY SurfaceArea DESC LIMIT 1	world
SELECT COUNT(*) FROM Country WHERE LifeExpectancy = 75.1	world
SELECT IndepYear FROM Country WHERE Name = 'Brunei'	world
SELECT COUNT(*) FROM Country WHERE GNP = 0	world
SELECT AVG(SurfaceArea) FROM Country	world
SELECT COUNT(DISTINCT T2.Language) FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.District = 'Tocantins'	world
SELECT T1.District FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.Name = ( SELECT Name FROM Country ORDER BY SurfaceArea DESC LIMIT 1 )	world
SELECT COUNT(DISTINCT T1.Name) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.HeadOfState = 'Kostis Stefanopoulos'	world
SELECT T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.IsOfficial = 'T' AND T2.name = 'Greece'	world
SELECT T2.Population FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'Queimados'	world
SELECT T2.Language FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IsOfficial = 'T' ORDER BY T1.Population ASC LIMIT 1	world
SELECT T2.SurfaceArea, T2.GNP FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.District = 'Namibe'	world
SELECT T2.Name FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.IsOfficial = 'T' AND T1.Language = 'English'	world
SELECT T1.District FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code ORDER BY T2.SurfaceArea ASC LIMIT 1	world
SELECT T2.Name FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.GNP < 1000 AND T1.IsOfficial = 'T' AND T1.Language = 'Dutch'	world
SELECT T2.GNP FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.District = 'Entre Rios' LIMIT 1	world
SELECT T2.LocalName FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'The Valley'	world
SELECT T2.Name, T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea > 7000000	world
SELECT AVG(T2.LifeExpectancy) FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Language = 'Japanese'	world
SELECT T2.Name, COUNT(T1.Name) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea = 652090 GROUP BY T2.Name	world
SELECT T2.Name, T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.IndepYear BETWEEN 1980 AND 1995	world
SELECT T2.LifeExpectancy FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'Calama'	world
SELECT T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.HeadOfState = 'Pierre Buyoya'	world
SELECT CAST(SUM(CASE WHEN T1.District = 'England' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.GovernmentForm = 'Constitutional Monarchy'	world
SELECT T2.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Population BETWEEN 140000 AND 150000 GROUP BY T2.Name, LifeExpectancy HAVING LifeExpectancy < ( SELECT AVG(LifeExpectancy) FROM Country ) * 0.8	world
SELECT CAST(SUM(CASE WHEN T2.GovernmentForm = 'Republic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Language = 'Italian'	world
SELECT COUNT(podcast_id) FROM categories WHERE category = ( SELECT category FROM categories GROUP BY category ORDER BY COUNT(podcast_id) DESC LIMIT 1 )	music_platform_2
SELECT COUNT(T1.podcast_id) FROM ( SELECT podcast_id FROM categories GROUP BY podcast_id HAVING COUNT(category) >= 4 ) AS T1	music_platform_2
SELECT itunes_id, itunes_url FROM podcasts WHERE title = 'Brown Suga Diaries'	music_platform_2
SELECT itunes_url FROM podcasts WHERE title LIKE '%Dream%' GROUP BY itunes_url	music_platform_2
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'I Heart My Life Show'	music_platform_2
SELECT T2.title, T2.itunes_url FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'society-culture'	music_platform_2
SELECT COUNT(T3.podcast_id) FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title LIKE '%spoilers%' AND T1.category = 'arts' AND T3.rating = 5	music_platform_2
SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Pop Rocket' AND T2.created_at LIKE '2016-%' AND T2.rating < 5	music_platform_2
SELECT T2.title, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id GROUP BY T3.podcast_id HAVING AVG(T3.rating) > 3	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T3.rating = 5 AND T1.category = 'fiction'	music_platform_2
SELECT DISTINCT T1.title, T2.content, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Love it!'	music_platform_2
SELECT T2.author_id, T2.rating, T2.created_at FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'In The Thick' GROUP BY T2.author_id, T2.rating, T2.created_at	music_platform_2
SELECT T1.podcast_id, T2.created_at, T2.title, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id ORDER BY T2.created_at DESC LIMIT 1	music_platform_2
SELECT T2.title, T2.rating, T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = '76A4C24B6038145'	music_platform_2
SELECT DISTINCT T1.title, T2.title, T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.rating = 1	music_platform_2
SELECT DISTINCT T1.title, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at LIKE '2019-05-%'	music_platform_2
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id GROUP BY T1.podcast_id ORDER BY COUNT(T2.content) DESC LIMIT 1	music_platform_2
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'SciFi Tech Talk'	music_platform_2
SELECT podcast_id, itunes_url FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Long time listener, calling it quits' )	music_platform_2
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'true-crime'	music_platform_2
SELECT content FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'StormCast: The Official Warhammer Age of Sigmar Podcast' )	music_platform_2
SELECT title, content FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'More Stupider: A 90-Day Fiance Podcast' ) AND rating = 1	music_platform_2
SELECT COUNT(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'LifeAfter/The Message' AND T2.rating <= 3	music_platform_2
SELECT AVG(T3.rating) FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title = 'More Stupider: A 90-Day Fiance Podcast'	music_platform_2
SELECT ( SELECT category FROM categories WHERE category = 'arts-books' OR category = 'arts-design' GROUP BY category ORDER BY COUNT(podcast_id) DESC LIMIT 1 ) "has more podcasts" , ( SELECT SUM(CASE WHEN category = 'arts-books' THEN 1 ELSE 0 END) - SUM(CASE WHEN category = 'arts-design' THEN 1 ELSE 0 END) FROM categories ) "differenct BETWEEN arts-books and arts-design"	music_platform_2
SELECT SUM(reviews_added) FROM runs WHERE run_at LIKE '2022-06-%'	music_platform_2
SELECT COUNT(podcast_id) FROM reviews WHERE rating = 3 AND created_at BETWEEN '2015-01-01T00:00:00-07:00' AND '2015-03-31T23:59:59-07:00'	music_platform_2
SELECT CAST(SUM(CASE WHEN category = 'fiction-science-fiction' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(podcast_id) OR '%' "percentage" FROM categories	music_platform_2
SELECT AVG(rating) FROM reviews WHERE created_at BETWEEN '2019-01-01T00:00:00-07:00' AND '2019-12-31T23:59:59-07:00'	music_platform_2
SELECT CAST((SUM(CASE WHEN run_at LIKE '2022-%' THEN reviews_added ELSE 0 END) - SUM(CASE WHEN run_at LIKE '2021-%' THEN reviews_added ELSE 0 END)) AS REAL) * 100 / SUM(reviews_added) OR '%' "percentage" FROM runs	music_platform_2
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'fiction'	music_platform_2
SELECT DISTINCT T3.rating, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title = 'Sitcomadon'	music_platform_2
SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.itunes_id = 1516665400	music_platform_2
SELECT DISTINCT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2018-08-22T11:53:16-07:00' AND '2018-11-20T11:14:20-07:00'	music_platform_2
SELECT DISTINCT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'EFB34EAC8E9397C'	music_platform_2
SELECT slug, itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM reviews WHERE content = 'Can''t stop listening' )	music_platform_2
SELECT created_at FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'Don''t Lie To Your Life Coach' )	music_platform_2
SELECT COUNT(DISTINCT T1.category) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2016-07-01T00:00:00-07:00' AND '2016-12-31T23:59:59-07:00'	music_platform_2
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'true-crime'	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts'	music_platform_2
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts'	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts' AND T2.created_at LIKE '2018-%'	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' AND T2.rating > 3	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE (T2.created_at LIKE '2018-%' AND T1.category = 'arts' AND T2.content LIKE '%love%') OR (T2.created_at LIKE '2019-%' AND T1.category = 'arts' AND T2.content LIKE '%love%')	music_platform_2
SELECT T1.category, T2.itunes_url FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Scaling Global'	music_platform_2
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'comedy'	music_platform_2
SELECT category FROM categories GROUP BY category ORDER BY COUNT(podcast_id) ASC LIMIT 1	music_platform_2
SELECT title FROM reviews ORDER BY LENGTH(content) DESC LIMIT 1	music_platform_2
SELECT title FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Hosts bring the show down' )	music_platform_2
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' ORDER BY LENGTH(T2.title) DESC LIMIT 1	music_platform_2
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title LIKE '%jessica%' )	music_platform_2
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Moist Boys' )	music_platform_2
SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.rating = 2	music_platform_2
SELECT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Inspired & On Fire!'	music_platform_2
SELECT T2.title, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T3.content LIKE '%Absolutely fantastic%'	music_platform_2
SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id GROUP BY T1.category ORDER BY COUNT(T2.podcast_id) DESC LIMIT 1	music_platform_2
SELECT itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM categories WHERE category = 'fiction-science-fiction' )	music_platform_2
SELECT T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Stuff You Should Know' ORDER BY T2.created_at ASC LIMIT 1	music_platform_2
SELECT COUNT(T2.podcast_id) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Planet Money'	music_platform_2
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Crime Junkie'	music_platform_2
SELECT CAST(SUM(CASE WHEN T1.category = 'technology' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.title) OR '%' "percentage" FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id	music_platform_2
SELECT content FROM reviews WHERE title = 'really interesting!' AND created_at = '2018-04-24T12:05:16-07:00'	music_platform_2
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Scaling Global' )	music_platform_2
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts-performing-arts'	music_platform_2
SELECT COUNT(T2.content) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Scaling Global'	music_platform_2
SELECT COUNT(T2.created_at) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' AND T2.created_at LIKE '2019-%'	music_platform_2
SELECT T2.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'F7E5A318989779D'	music_platform_2
SELECT COUNT(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' AND T2.rating = 5	music_platform_2
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally'	music_platform_2
SELECT COUNT(*) FROM university_year WHERE num_students > 80000 AND year = 2011	university
SELECT ranking_system_id FROM ranking_criteria WHERE criteria_name = 'Award'	university
SELECT COUNT(*) FROM university WHERE university_name LIKE '%State%'	university
SELECT MAX(student_staff_ratio) FROM university_year WHERE student_staff_ratio = ( SELECT MAX(student_staff_ratio) FROM university_year )	university
SELECT COUNT(id) FROM ranking_criteria WHERE ranking_system_id = 3	university
SELECT university_id FROM university_year WHERE pct_international_students = 1 AND year BETWEEN 2011 AND 2015	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id GROUP BY T2.country_name ORDER BY COUNT(T1.university_name) DESC LIMIT 1	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY T1.pct_international_students DESC LIMIT 1	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Publications Rank' AND T2.year = 2014 AND T1.id = 17 ORDER BY T2.score DESC LIMIT 1	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY T1.num_students LIMIT 1	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'United States of America'	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id INNER JOIN country AS T4 ON T4.id = T3.country_id WHERE T1.criteria_name = 'Citations' AND T2.year = 2016 AND T1.id = 4 AND T4.country_name = 'Australia' ORDER BY T2.score DESC LIMIT 1	university
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T1.criteria_name = 'Award' AND T2.year BETWEEN 2005 AND 2015 AND T2.score = 0	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE university_name = 'University of Oxford'	university
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'Yale University' AND T2.score >= 10 AND T1.criteria_name = 'Quality of Education Rank'	university
SELECT T2.criteria_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T1.system_name = 'Center for World University Rankings'	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.num_students > 50000 AND T1.year = 2012	university
SELECT DISTINCT T3.country_name FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.pct_international_students > 50 AND T2.year BETWEEN 2011 AND 2016	university
SELECT COUNT(*) , SUM(CASE WHEN T3.country_name = 'United States of America' THEN 1 ELSE 0 END) AS nums_in_usa FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.year = 2016 AND T2.num_students * T2.pct_female_students / 100 > 20000	university
SELECT DISTINCT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY (CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) DESC LIMIT 5	university
SELECT university_id FROM university_year ORDER BY student_staff_ratio DESC LIMIT 1	university
SELECT year FROM university_year ORDER BY num_students ASC LIMIT 1	university
SELECT AVG(pct_female_students) FROM university_year	university
SELECT pct_international_students * num_students, num_students FROM university_year WHERE year = 2013 AND university_id = 20	university
SELECT id FROM university WHERE university_name = 'Harvard University'	university
SELECT university_id FROM university_ranking_year WHERE score = 100 AND year = 2011	university
SELECT T1.system_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T2.criteria_name = 'Quality of Education Rank'	university
SELECT T1.student_staff_ratio FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Harvard University' AND T1.year = 2012	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.id = 112	university
SELECT SUM(T2.num_students) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Sweden'	university
SELECT T1.ranking_criteria_id FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Brown University' AND T1.year = 2014	university
SELECT T1.university_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Spain'	university
SELECT T1.criteria_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T2.university_id = 32 AND T2.year = 2015	university
SELECT AVG(T2.score) FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Brazil'	university
SELECT T2.country_id FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2014 ORDER BY T1.num_students DESC LIMIT 1	university
SELECT CAST(T1.num_students * T1.pct_international_students AS REAL) / 100, T2.score FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T2.year = 2015 AND T1.university_id = 100	university
SELECT SUM(T1.num_students) FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T2.score = 98 AND T1.year = 2013	university
SELECT T2.criteria_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T1.system_name = 'Center for World University Rankings'	university
SELECT DISTINCT T3.country_name FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.year = 2013 AND T2.num_students * 100 > ( SELECT AVG(num_students) FROM university_year ) * 98	university
SELECT SUM(CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) / COUNT(*) * 100 FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T2.score < 80 AND T1.year = 2015	university
SELECT SUM(num_students) FROM university_year WHERE year = 2011	university
SELECT SUM(CAST(num_students * pct_female_students AS REAL) / 100) FROM university_year WHERE year = 2011	university
SELECT MAX(student_staff_ratio) FROM university_year ORDER BY student_staff_ratio DESC LIMIT 1	university
SELECT university_id FROM university_year WHERE year = 2011 ORDER BY num_students DESC LIMIT 1	university
SELECT COUNT(*) FROM university_year WHERE year = 2011 AND num_students > 50000 AND pct_international_students > 10	university
SELECT university_id FROM university_year WHERE year = 2012 ORDER BY pct_female_students DESC LIMIT 1	university
SELECT T2.university_name FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2012 ORDER BY T1.score DESC LIMIT 1	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 ORDER BY T1.num_students DESC LIMIT 1	university
SELECT T1.university_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN ranking_criteria AS T3 ON T3.id = T2.ranking_criteria_id WHERE T3.criteria_name = 'Teaching' ORDER BY T2.score DESC LIMIT 1	university
SELECT T1.pct_international_students FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 AND T2.university_name = 'Harvard University'	university
SELECT CAST(T1.num_students * T1.pct_female_students AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 AND T2.university_name = 'Stanford University'	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'Harvard University'	university
SELECT T1.system_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T2.criteria_name = 'Teaching'	university
SELECT T1.university_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Argentina' GROUP BY T1.university_name ORDER BY SUM(T2.score) DESC LIMIT 1	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Argentina'	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 AND T1.num_students > 100000	university
SELECT COUNT(T2.criteria_name) FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T1.system_name = 'Center for World University Rankings'	university
SELECT COUNT(*) FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T2.score = 90 AND T1.year = 2011	university
SELECT DISTINCT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id GROUP BY T2.university_name ORDER BY SUM(T1.num_students * T1.pct_international_students / 100) DESC LIMIT 3	university
SELECT SUM(T1.num_students) - SUM(CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Harvard University' AND T1.year BETWEEN 2011 AND 2012	university
SELECT COUNT(*) FROM university_year WHERE year = 2011 AND num_students > 30000	university
SELECT country_id FROM university WHERE university_name = 'University of Tokyo'	university
SELECT id FROM ranking_system WHERE system_name = 'Center for World University Rankings'	university
SELECT id FROM ranking_criteria WHERE criteria_name = 'Publications Rank'	university
SELECT COUNT(*) FROM university_year WHERE pct_international_students > 30 AND year = 2013	university
SELECT COUNT(*) FROM university_ranking_year WHERE ranking_criteria_id = 6 AND year = 2011 AND score < 50	university
SELECT T1.num_students FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Yale University' AND T1.year = 2016	university
SELECT T1.university_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Denmark'	university
SELECT CAST(SUM(T1.num_students) AS REAL) / SUM(T1.student_staff_ratio) FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'University of Auckland' AND T1.year = 2015	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'University of São Paulo'	university
SELECT CAST(T2.num_students * T2.pct_international_students AS REAL) / 100 FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id WHERE T1.university_name = 'Harvard University' AND T2.year = 2012	university
SELECT CAST(T2.num_students * T2.pct_female_students AS REAL) / 100 FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id WHERE T1.university_name = 'Arizona State University' AND T2.year = 2014	university
SELECT T1.university_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id GROUP BY T1.university_name ORDER BY SUM(T2.score) DESC LIMIT 1	university
SELECT T2.criteria_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T1.system_name = 'Shanghai Ranking'	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 ORDER BY T2.score ASC LIMIT 1	university
SELECT T1.system_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T2.criteria_name = 'Quality of Education Rank'	university
SELECT CAST(SUM(CASE WHEN T2.score > 80 THEN 1 ELSE 0 END) AS REAL) / COUNT(*), ( SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'International' AND T2.year = 2016 AND T2.score > 80 ORDER BY T2.score DESC LIMIT 1 ) AS max FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'International' AND T2.year = 2016	university
SELECT T1.criteria_name, T2.score FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'Harvard University' AND T2.year = 2005	university
SELECT AVG(T2.score) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T1.criteria_name = 'Alumni' AND T2.year = 2008	university
SELECT T1.university_name, T3.country_name FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.year = 2015 ORDER BY T2.num_students DESC LIMIT 1	university
SELECT num_students FROM university_year WHERE year = 2011 AND university_id = 1	university
SELECT university_id FROM university_year WHERE year = 2011 ORDER BY num_students DESC LIMIT 1	university
SELECT university_id FROM university_year WHERE year = 2011 AND student_staff_ratio > 15	university
SELECT COUNT(*) FROM university_year WHERE year = 2011 AND pct_international_students > 25 AND num_students > 20000	university
SELECT university_id FROM university_year WHERE year = 2011 ORDER BY pct_female_students DESC LIMIT 3	university
SELECT year FROM university_year WHERE university_id = 1 ORDER BY num_students DESC LIMIT 1	university
SELECT T1.num_students FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Harvard University' AND T1.year = 2011	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 ORDER BY T1.pct_international_students DESC LIMIT 1	university
SELECT T1.university_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Australia'	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Australia' AND T2.year = 2011 AND T2.num_students > 15000	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'Harvard University'	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 ORDER BY T2.score DESC LIMIT 1	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score > 90	university
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score > 90	university
SELECT T1.criteria_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'Harvard University' AND T2.year = 2011	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score = 98	university
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id INNER JOIN country AS T4 ON T4.id = T3.country_id WHERE T4.country_name = 'United States of America' AND T2.year = 2011 AND T2.score < 60 AND T1.criteria_name = 'Teaching'	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Australia' AND T2.student_staff_ratio > 15 AND T2.year = 2011	university
SELECT CAST(T1.num_students * T1.pct_female_students AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 AND T2.university_name = 'Stanford University'	university
SELECT CAST(SUM(CASE WHEN T4.country_name = 'United States of America' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) AS per FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id INNER JOIN country AS T4 ON T4.id = T3.country_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score > 90	university
SELECT id FROM ranking_system WHERE system_name = 'Center for World University Rankings'	university
SELECT country_id FROM university WHERE university_name = 'University of Veterinary Medicine Vienna'	university
SELECT id FROM ranking_criteria WHERE criteria_name = 'Citations Rank'	university
SELECT id FROM university WHERE university_name = 'University of Orléans'	university
SELECT num_students FROM university_year WHERE university_id = 268 AND year = 2013	university
SELECT country_name FROM country WHERE id = 66	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'McMaster University'	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Turkey'	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 ORDER BY T1.num_students DESC LIMIT 1	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id WHERE T1.university_name = 'University of Michigan' AND T2.year = 2011	university
SELECT T2.score FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'Chosun University' AND T1.criteria_name = 'Influence Rank' AND T2.year = 2015	university
SELECT T2.pct_international_students FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id WHERE T1.university_name = 'University of Oslo' AND T2.year = 2015	university
SELECT T1.criteria_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'University of Southampton' AND T2.year = 2015 ORDER BY T2.score DESC LIMIT 1	university
SELECT T1.system_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T2.criteria_name = 'Total Shanghai'	university
SELECT CAST(T1.num_students * T1.pct_female_students AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 AND T2.university_name = 'Pierre and Marie Curie University'	university
SELECT T2.score FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'University of Florida' AND T2.year = 2014 AND T1.criteria_name = 'N and S'	university
SELECT CAST(T1.num_students * T1.pct_international_students AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2013 AND T2.university_name = 'University of Wisconsin-Madison'	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 ORDER BY T1.num_students ASC LIMIT 1	university
SELECT CAST(SUM(CASE WHEN T2.university_name = 'University of Ottawa' THEN T1.num_students ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.university_name = 'Joseph Fourier University' THEN T1.num_students ELSE 0 END) FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2013	university
SELECT (SUM(CASE WHEN T1.system_name = 'Center for World University Rankings' THEN 1 ELSE 0 END) + SUM(CASE WHEN T1.system_name = 'Shanghai Ranking' THEN 1 ELSE 0 END) + SUM(CASE WHEN T1.system_name = 'Times Higher Education World University Ranking' THEN 1 ELSE 0 END)) / 3 FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id	university
SELECT AVG(num_students) FROM university_year WHERE year = 2012	university
SELECT score FROM university_ranking_year WHERE year = 2015 AND university_id = 68	university
SELECT id FROM country WHERE country_name = 'Cyprus'	university
SELECT university_id FROM university_year ORDER BY pct_international_students DESC LIMIT 1	university
SELECT criteria_name FROM ranking_criteria WHERE id = 13	university
SELECT AVG(score) FROM university_ranking_year WHERE year = 2012	university
SELECT SUM(CAST(num_students * pct_female_students AS REAL) / 100) FROM university_year WHERE year BETWEEN 2011 AND 2013 AND university_id = 40	university
SELECT AVG(score) FROM university_ranking_year WHERE year BETWEEN 2013 AND 2015 AND university_id = 79	university
SELECT student_staff_ratio FROM university_year WHERE university_id = 35	university
SELECT T2.score FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T1.year = 2011 ORDER BY T1.num_students DESC LIMIT 1	university
SELECT DISTINCT T3.criteria_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN ranking_criteria AS T3 ON T3.id = T2.ranking_criteria_id WHERE T1.university_name = 'Harvard University' AND T2.score = 100	university
SELECT T1.university_name, T1.id FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Turkey'	university
SELECT COUNT(*) FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T1.system_name = 'Shanghai Ranking'	university
SELECT T2.university_name, T1.score FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.id = 124	university
SELECT CAST(T1.num_students * T1.pct_female_students AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2011 AND T2.university_name = 'University of Pennsylvania'	university
SELECT DISTINCT T2.university_name FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.score < 50	university
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Japan'	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY T1.num_students * T1.pct_female_students / 100 - T1.num_students DESC LIMIT 1	university
SELECT DISTINCT T3.country_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.score < 70 AND T2.year = 2016	university
SELECT CAST((T1.num_students - (T1.num_students * T1.pct_female_students)) AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Emory University' AND T1.year = 2011	university
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'Johns Hopkins University'	university
SELECT DISTINCT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.num_students BETWEEN 400 AND 1000	university
SELECT T1.year FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Brown University' ORDER BY T1.score DESC LIMIT 1	university
SELECT AVG(T1.score) FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Emory University' AND T1.year BETWEEN 2011 AND 2016	university
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 ORDER BY T1.num_students DESC LIMIT 1	university
SELECT T3.country_name, CAST(T2.num_students * T2.pct_female_students AS REAL) / 100 FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.year = 2011 AND T1.id = 23	university
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T2.score = 40 AND T1.criteria_name = 'Teaching' AND T2.score = 40	university
SELECT SUM(CAST(T2.pct_female_students * T2.num_students AS REAL) / 100) * 100 / SUM(T2.num_students) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'United States of America' AND T2.year = 2016	university
SELECT SUM(T1.num_students) - SUM(CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year BETWEEN 2011 AND 2014 AND T2.university_name = 'University of Tokyo'	university
SELECT T2.university_name FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 AND T1.score * 100 < ( SELECT AVG(score) * 28 FROM university_ranking_year WHERE year = 2015 )	university
SELECT units FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 AND item_nbr = 9	sales_in_weather
SELECT SUM(units) FROM sales_in_weather WHERE SUBSTR(`date`, 6, 2) = '01' AND SUBSTR(`date`, 1, 4) = '2012' AND item_nbr = 9 AND store_nbr = 1	sales_in_weather
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1	sales_in_weather
SELECT tmax - tmin AS temrange FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-01'	sales_in_weather
SELECT `date` FROM weather WHERE station_nbr = 2 AND depart > 0	sales_in_weather
SELECT CASE WHEN (SUM(CASE WHEN `date` = '2012-01-01' THEN avgspeed ELSE 0 END) - SUM(CASE WHEN `date` = '2012-01-02' THEN avgspeed ELSE 0 END)) > 0 THEN '2012-01-01' ELSE '2012-01-02' END FROM weather WHERE station_nbr = 1	sales_in_weather
SELECT SUM(CASE WHEN T3.depart < 0 THEN units ELSE 0 END) AS sum FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5	sales_in_weather
SELECT T1.units FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 ORDER BY tmax DESC LIMIT 1	sales_in_weather
SELECT dewpoint FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 ORDER BY units DESC LIMIT 1	sales_in_weather
SELECT SUM(CASE WHEN units > 100 THEN 1 ELSE 0 END) AS count FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 AND tmax > 90	sales_in_weather
SELECT t2.units FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T2.item_nbr = 5 ORDER BY t3.tmax - t3.tmin DESC LIMIT 1	sales_in_weather
SELECT T2.`date` FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T2.item_nbr = 5 AND T2.units > 100 ORDER BY tmax - tmin DESC LIMIT 1	sales_in_weather
SELECT SUM(CASE WHEN T3.preciptotal > 0.05 THEN units ELSE 0 END) AS sum FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.item_nbr = 5	sales_in_weather
SELECT T1.`date` FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.item_nbr = 5 AND T1.units > 100 AND T3.avgspeed > 10	sales_in_weather
SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.`date` LIKE '%2012%' GROUP BY T3.tmax ORDER BY T3.tmax DESC LIMIT 1	sales_in_weather
SELECT ( SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.item_nbr = 16 AND T1.`date` LIKE '%2012%' AND T1.store_nbr = 5 GROUP BY tmax ORDER BY T3.tmax DESC LIMIT 1 ) - ( SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.item_nbr = 16 AND T1.`date` LIKE '%2012%' AND T1.store_nbr = 6 GROUP BY tmax ORDER BY T3.tmax DESC LIMIT 1 )	sales_in_weather
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' AND tmax = ( SELECT MAX(tmax) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' ) GROUP BY T1.item_nbr ORDER BY SUM(units) DESC LIMIT 1	sales_in_weather
SELECT COUNT(DISTINCT T1.item_nbr) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr AND T1.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.units = 0 GROUP BY T3.tmax ORDER BY T3.tmax DESC LIMIT 1	sales_in_weather
SELECT CAST(SUM(T1.units) AS REAL) / COUNT(T1.`date`) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.item_nbr = 5 AND T3.tmax > 90	sales_in_weather
SELECT CAST(SUM(CASE WHEN T1.item_nbr = 5 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' AND T3.tmax = ( SELECT MAX(T3.tmax) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' )	sales_in_weather
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1	sales_in_weather
SELECT units FROM sales_in_weather WHERE `date` = '2012-12-07' AND store_nbr = 11 AND item_nbr = 9	sales_in_weather
SELECT tavg FROM weather WHERE `date` = '2014-10-17' AND station_nbr = 20	sales_in_weather
SELECT resultspeed FROM weather WHERE `date` = '2014-01-15' AND station_nbr = 9	sales_in_weather
SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(station_nbr) DESC LIMIT 1	sales_in_weather
SELECT station_nbr FROM relation WHERE store_nbr = 20	sales_in_weather
SELECT T1.tmax - T1.tmin AS temprange FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 7 AND T1.`date` = '2014-04-28'	sales_in_weather
SELECT store_nbr FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY depart DESC LIMIT 1 )	sales_in_weather
SELECT T1.dewpoint FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 15 AND T1.`date` = '2012-02-18'	sales_in_weather
SELECT T1.wetbulb FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 14 AND T1.`date` = '2012-02-15'	sales_in_weather
SELECT COUNT(T.store_nbr) FROM ( SELECT DISTINCT store_nbr FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY avgspeed DESC LIMIT 1 ) ) T	sales_in_weather
SELECT tmax FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 21 AND T1.`date` = '2012-11-09'	sales_in_weather
SELECT T1.sunrise FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2014-02-21' AND store_nbr = 30	sales_in_weather
SELECT T2.store_nbr FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr ORDER BY snowfall DESC LIMIT 1	sales_in_weather
SELECT T1.codesum FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2013-02-12' AND T2.store_nbr = 2	sales_in_weather
SELECT T1.sealevel FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2013-02-24' AND T2.store_nbr = 19	sales_in_weather
SELECT T1.preciptotal FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2012-12-25' AND T2.store_nbr = 2	sales_in_weather
SELECT T1.stnpressure FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2012-05-15' AND T2.store_nbr = 12	sales_in_weather
SELECT CAST(SUM(CASE WHEN T2.store_nbr = 10 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.`date` = '2014-10-31'	sales_in_weather
SELECT CAST((SUM(CASE WHEN T1.`date` = '2012-02-03' THEN T1.tavg * 1 ELSE 0 END) - SUM(CASE WHEN T1.`date` = '2012-02-02' THEN T1.tavg * 1 ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T1.`date` = '2012-02-02' THEN T1.tavg * 1 ELSE 0 END) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 9	sales_in_weather
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1	sales_in_weather
SELECT SUM(store_nbr) FROM relation WHERE station_nbr = 12	sales_in_weather
SELECT COUNT(item_nbr) FROM sales_in_weather WHERE store_nbr = 2 AND units = 0 AND `date` = '2012-01-01'	sales_in_weather
SELECT `date` FROM weather WHERE station_nbr = 1 AND CAST(SUBSTR(`date`, 1, 4) AS int) BETWEEN 2012 AND 2014 ORDER BY tmax DESC LIMIT 1	sales_in_weather
SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(store_nbr) DESC LIMIT 1	sales_in_weather
SELECT station_nbr FROM weather WHERE SUBSTR(`date`, 1, 4) = '2014' AND SUBSTR(`date`, 6, 2) = '03' AND depart < 0 GROUP BY station_nbr HAVING COUNT(DISTINCT `date`) = ( SELECT COUNT(DISTINCT `date`) FROM weather WHERE SUBSTR(`date`, 1, 4) = '2014' AND SUBSTR(`date`, 6, 2) = '03' AND depart < 0 GROUP BY station_nbr ORDER BY COUNT(`date`) DESC LIMIT 1 )	sales_in_weather
SELECT station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 9 GROUP BY T2.station_nbr ORDER BY SUM(T1.units) DESC LIMIT 1	sales_in_weather
SELECT COUNT(store_nbr) FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY avgspeed DESC LIMIT 1 )	sales_in_weather
SELECT T1.store_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.station_nbr = 14 AND T1.`date` LIKE '%2014-02%' AND T1.item_nbr = 44 AND units >= 300	sales_in_weather
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T3.station_nbr = 9 AND T1.`date` LIKE '%2013-06%' AND codesum = 'RA' ORDER BY T1.units DESC LIMIT 1	sales_in_weather
SELECT T2.station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 5 GROUP BY T2.station_nbr ORDER BY SUM(T1.units) DESC LIMIT 1	sales_in_weather
SELECT T1.station_nbr FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE sunrise IS NOT NULL AND T2.`date` LIKE '%2012-02%' AND T1.station_nbr IN ( SELECT station_nbr FROM relation GROUP BY station_nbr HAVING COUNT(store_nbr) = 1 ) ORDER BY sunrise LIMIT 1	sales_in_weather
SELECT T1.store_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 45 AND T2.station_nbr = 17 AND T1.`date` LIKE '%2012-10%' GROUP BY T1.store_nbr ORDER BY SUM(T1.units) DESC LIMIT 1	sales_in_weather
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN ( SELECT station_nbr, `date` FROM weather ORDER BY snowfall DESC LIMIT 1 ) AS T3 ON T2.station_nbr = T3.station_nbr	sales_in_weather
SELECT T2.station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr ORDER BY T1.units DESC LIMIT 3	sales_in_weather
SELECT COUNT(T2.store_nbr) FROM ( SELECT station_nbr FROM weather ORDER BY heat DESC LIMIT 1 ) AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr	sales_in_weather
SELECT tmin FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.store_nbr = 29 AND T2.`date` = '2014-02-08'	sales_in_weather
SELECT COUNT(station_nbr) FROM weather WHERE `date` = '2014-02-18' AND stnpressure < 30 AND station_nbr IN ( SELECT station_nbr FROM relation GROUP BY station_nbr HAVING COUNT(store_nbr) = 3 )	sales_in_weather
SELECT CAST(SUM(T2.tmax) AS REAL) / 29 FROM ( SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(store_nbr) DESC LIMIT 1 ) AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE SUBSTR(T2.`date`, 1, 7) = '2012-02'	sales_in_weather
SELECT CAST(SUM(CASE WHEN T2.store_nbr = 10 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE station_nbr = 12 AND item_nbr = 5 AND T2.`date` LIKE '%2014%'	sales_in_weather
SELECT MAX(avgspeed) FROM weather	sales_in_weather
SELECT COUNT(DISTINCT `date`) FROM weather WHERE snowfall > 5	sales_in_weather
SELECT COUNT(DISTINCT `date`) AS days FROM weather WHERE sunrise < time('05:00:00')	sales_in_weather
SELECT MIN(dewpoint) FROM weather	sales_in_weather
SELECT tmax, tmin FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-15'	sales_in_weather
SELECT COUNT(DISTINCT T2.station_nbr) AS number FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE SUBSTR(`date`, 1, 7) = '2014-01' AND item_nbr = 5	sales_in_weather
SELECT MIN(tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 16 AND T1.`date` LIKE '%2012-01%'	sales_in_weather
SELECT SUM(units) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.store_nbr = 7 AND T3.item_nbr = 7 AND T1.snowfall < 5	sales_in_weather
SELECT COUNT(DISTINCT item_nbr) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T3.store_nbr = 9 AND T1.snowfall <> 0 AND T1.snowfall IS NOT NULL	sales_in_weather
SELECT T1.station_nbr, T2.item_nbr FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.store_nbr = 17 GROUP BY T1.station_nbr, T2.item_nbr	sales_in_weather
SELECT T1.`date` FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 35 AND T1.codesum LIKE '%' OR 'HZ' OR '%'	sales_in_weather
SELECT T1.sealevel, T1.avgspeed FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 3 OR T2.store_nbr = 4	sales_in_weather
SELECT T2.item_nbr FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr AND T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 1 AND T1.codesum LIKE '%' OR 'RA' OR '%' GROUP BY T2.item_nbr ORDER BY T2.units DESC LIMIT 1	sales_in_weather
SELECT CAST((MAX(T1.tmax) - MIN(T1.tmin)) AS REAL) / MIN(T1.tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 11	sales_in_weather
SELECT SUM(CASE WHEN T1.station_nbr = 1 THEN units ELSE 0 END) - SUM(CASE WHEN T1.station_nbr = 2 THEN units ELSE 0 END) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.`date` LIKE '%2012%'	sales_in_weather
SELECT SUM(CASE WHEN T1.store_nbr = 18 THEN T2.tavg ELSE 0 END) - SUM(CASE WHEN T1.store_nbr = 19 THEN T2.tavg ELSE 0 END) FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.`date` = '2012-09-16'	sales_in_weather
SELECT SUM(units) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 1 AND T1.tavg = 83	sales_in_weather
SELECT ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset LIMIT 1 ) - ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset DESC LIMIT 1 )	sales_in_weather
SELECT SUM(T5.units) FROM weather AS T4 INNER JOIN sales_in_weather AS T5 ON T4.`date` = T5.`date` INNER JOIN relation AS T6 ON T5.store_nbr = T6.store_nbr WHERE T5.item_nbr = 10 AND T4.tavg < ( SELECT AVG(T1.tavg) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 10 )	sales_in_weather
SELECT ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr AND T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 6 ) - ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 7 )	sales_in_weather
SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Polish' GROUP BY T2.Name, T1.Percentage ORDER BY T1.Percentage ASC LIMIT 1	mondial_geo
SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'African' AND T1.Percentage > 90	mondial_geo
SELECT T1.Name, T1.Percentage FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Singapore' GROUP BY T1.Name, T1.Percentage	mondial_geo
SELECT CAST(SUM(CASE WHEN Government = 'republic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Country) FROM politics WHERE STRFTIME('%Y', Independence) > '1970'	mondial_geo
SELECT T1.GDP, T2.Government FROM economy AS T1 INNER JOIN politics AS T2 ON T1.Country = T2.Country INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T3.Name = 'Bosnia and Herzegovina'	mondial_geo
SELECT T1.Name, T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Population_Growth > 2 AND T2.Infant_Mortality < 5	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Population > 10000000 GROUP BY T2.Name, T2.Percentage ORDER BY T2.Percentage DESC LIMIT 2	mondial_geo
SELECT T1.Name, T2.Name, T2.Percentage FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(T2.Name) DESC LIMIT 1 ) GROUP BY T1.Name, T2.Name, T2.Percentage	mondial_geo
SELECT T1.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Percentage = 100 AND T1.Name = 'African'	mondial_geo
SELECT T1.Infant_Mortality FROM population AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Country = T2.Country WHERE T2.Name = 'Amerindian' ORDER BY T2.Percentage ASC LIMIT 1	mondial_geo
SELECT T2.Agriculture FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Area > 600000 AND T2.Agriculture IS NOT NULL	mondial_geo
SELECT T2.Country FROM population AS T1 INNER JOIN politics AS T2 ON T1.Country = T2.Country WHERE T2.Government = 'republic' ORDER BY T1.Population_Growth DESC LIMIT 1	mondial_geo
SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Bulgaria'	mondial_geo
SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Arab'	mondial_geo
SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' AND T1.Name = 'Turks and Caicos Islands'	mondial_geo
SELECT T2.Population_Growth * T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Infant_Mortality IS NOT NULL ORDER BY T2.Infant_Mortality ASC LIMIT 1	mondial_geo
SELECT T1.Capital, T1.Population FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.GDP > 400000	mondial_geo
SELECT T2.Service * T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Brazil'	mondial_geo
SELECT T1.Name, T2.Population_Growth FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country ORDER BY T2.Infant_Mortality DESC LIMIT 1	mondial_geo
SELECT T1.Name, T1.Population, T2.Population_Growth FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Population_Growth < 0	mondial_geo
SELECT T1.Name, T2.Infant_Mortality FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T1.Area BETWEEN 500000 AND 1000000	mondial_geo
SELECT T1.Name, T3.GDP FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country INNER JOIN economy AS T3 ON T3.Country = T2.Country WHERE T2.Population_Growth > 3	mondial_geo
SELECT T2.Infant_Mortality FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Ethiopia'	mondial_geo
SELECT T2.GDP * T2.Industry FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Singapore'	mondial_geo
SELECT T2.GDP * T2.Agriculture FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T1.Area ASC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Albanian' ORDER BY T2.Percentage DESC LIMIT 1	mondial_geo
SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' AND T1.Area > 10000000	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country GROUP BY T1.Name HAVING COUNT(T1.Name) > 5	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP DESC LIMIT 1	mondial_geo
SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.GDP > 500000 AND T1.Population > 10000000	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Inflation < 2	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Inflation IS NOT NULL ORDER BY T2.Inflation ASC LIMIT 1	mondial_geo
SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T2.Agriculture < 50 AND T1.Area > 8000000	mondial_geo
SELECT COUNT(T1.City) FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T2.Type = 'salt'	mondial_geo
SELECT T2.Depth FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T1.Province = 'Albania'	mondial_geo
SELECT T2.City FROM lake AS T1 LEFT JOIN located AS T2 ON T2.Lake = T1.Name ORDER BY T1.Altitude DESC LIMIT 1	mondial_geo
SELECT COUNT(T2.Name) FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name WHERE T1.Province = 'Canary Islands' AND T2.Area > 1000000	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(T2.Name) DESC LIMIT 1	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Armenian' AND T2.Percentage > 90	mondial_geo
SELECT T2.Country FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T1.Population < 1000000 GROUP BY T2.Country HAVING COUNT(T1.Name) > 2	mondial_geo
SELECT COUNT(T2.Name) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE T1.Population < 1000000	mondial_geo
SELECT T1.Country, COUNT(T1.Country) FROM economy AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.GDP < 500000 AND STRFTIME('%Y', T2.Established) < '1999' GROUP BY T1.Country	mondial_geo
SELECT COUNT(T2.Country) FROM economy AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T2.Country IN ( SELECT Country FROM organization GROUP BY Country HAVING COUNT(Country) > 3 ) AND T1.Inflation > 5	mondial_geo
SELECT COUNT(T2.Province) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country INNER JOIN ethnicGroup AS T3 ON T3.Country = T2.Country GROUP BY T1.Name ORDER BY COUNT(T3.Name) DESC LIMIT 1	mondial_geo
SELECT T2.Name FROM language AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.Name = 'Dutch'	mondial_geo
SELECT COUNT(T2.Name) FROM language AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.Name = 'Bosnian'	mondial_geo
SELECT MAX(T2.Infant_Mortality) FROM economy AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE T1.Inflation < 3	mondial_geo
SELECT COUNT(T1.Country) FROM economy AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE T1.GDP > 1000000 AND T2.Population_Growth > 3	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP / T1.Population DESC LIMIT 1	mondial_geo
SELECT T2.Area * 100  / T3.Area FROM located AS T1 INNER JOIN lake AS T2 ON T1.Lake = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country ORDER BY T2.Longitude DESC LIMIT 1	mondial_geo
SELECT SUM(T3.Population_Growth) / COUNT(T3.Country) FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country INNER JOIN population AS T3 ON T3.Country = T2.Country WHERE T2.Country IN ( SELECT Country FROM language GROUP BY Country HAVING COUNT(Country) > 3 ) GROUP BY T3.Country	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country GROUP BY T1.Name, T2.Inflation HAVING T2.Inflation > AVG(T2.Inflation) * 1.3	mondial_geo
SELECT Name FROM country WHERE Province = 'Baghdad'	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Martinique' ORDER BY T1.population DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Christian' AND T2.Percentage = 41	mondial_geo
SELECT T3.Name FROM located AS T1 INNER JOIN river AS T2 ON T1.River = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country WHERE T2.Name = 'Detroit River'	mondial_geo
SELECT T2.Country1, T2.Country2 FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 ORDER BY T2.Length DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 GROUP BY T1.Name ORDER BY COUNT(T1.Name) DESC LIMIT 1	mondial_geo
SELECT DISTINCT T1.Name FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T2.Mountain = 'Cerro Chirripo'	mondial_geo
SELECT COUNT(DISTINCT T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Indonesia'	mondial_geo
SELECT COUNT(DISTINCT T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan'	mondial_geo
SELECT T1.Latitude FROM island AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Island WHERE T2.Mountain = 'Andringitra'	mondial_geo
SELECT T1.Code FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country WHERE T2.Mountain = ( SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1, 1 )	mondial_geo
SELECT T2.Percentage FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent WHERE T3.Name = 'Asia' AND T1.Name = 'Egypt'	mondial_geo
SELECT T1.Area * 100 / T3.Area FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent WHERE T3.Name = 'Asia' AND T1.Name = 'Egypt'	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan' ORDER BY T2.Population DESC LIMIT 1	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Olsztyn'	mondial_geo
SELECT T1.Province FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country INNER JOIN mountain AS T3 ON T3.Name = T2.Mountain WHERE T3.Type = 'volcano' ORDER BY T3.Height DESC LIMIT 1	mondial_geo
SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Uganda'	mondial_geo
SELECT T2.Government FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Iran'	mondial_geo
SELECT T3.Name FROM locatedOn AS T1 INNER JOIN island AS T2 ON T1.Island = T2.Name INNER JOIN country AS T3 ON T3.Code = T1.Country WHERE T3.Name = 'Bermuda'	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Malay' ORDER BY T2.Percentage DESC LIMIT 1	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT Name FROM country ORDER BY Area DESC LIMIT 2, 1 ) GROUP BY T2.Name ORDER BY T2.Percentage * T1.Population DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Population = 114339	mondial_geo
SELECT COUNT(*) FROM river WHERE Sea IN ( SELECT Name FROM sea WHERE Depth = 459 )	mondial_geo
SELECT T1.Area FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T2.Independence = '1921-03-13'	mondial_geo
SELECT CAST(T1.Population AS REAL) / T1.Area FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Petropavl'	mondial_geo
SELECT T3.Population * (T2.Percentage - T1.Percentage) FROM ethnicGroup AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Country = T2.Country INNER JOIN country AS T3 ON T1.Country = T3.Code WHERE T1.Name = 'Scottish' AND T2.Name = 'English' AND T3.Name = 'United Kingdom'	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN city AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT Name FROM country ORDER BY CAST(Population AS REAL) / Area LIMIT 11, 1 ) ORDER BY T2.Population DESC LIMIT 1	mondial_geo
SELECT MAX(T2.Length) / MIN(T2.Length) FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country2 WHERE T1.Name = 'United States'	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country GROUP BY T1.Name, T1.Capital HAVING COUNT(T1.Name) > 4	mondial_geo
SELECT COUNT(T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY T1.Population DESC LIMIT 1	mondial_geo
SELECT COUNT(T3.Country) FROM ( SELECT T1.Country FROM economy AS T1 INNER JOIN geo_mountain AS T2 ON T1.Country = T2.Country WHERE T1.Industry < 40 GROUP BY T1.Country HAVING COUNT(T1.Country) < 2 ) AS T3	mondial_geo
SELECT Mountain FROM geo_mountain WHERE Country = ( SELECT Country FROM economy ORDER BY Inflation ASC LIMIT 1 )	mondial_geo
SELECT COUNT(T3.Desert) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN geo_desert AS T3 ON T3.Country = T2.Country WHERE T2.Government = 'republic'	mondial_geo
SELECT T2.Desert FROM country AS T1 INNER JOIN geo_desert AS T2 ON T1.Code = T2.Country WHERE T1.Area > 100000 AND T1.Population < 500000	mondial_geo
SELECT COUNT(T2.Desert) FROM country AS T1 INNER JOIN geo_desert AS T2 ON T1.Code = T2.Country INNER JOIN language AS T3 ON T1.Code = T2.Country WHERE T3.Name = 'Armenian' AND T3.Percentage > 90	mondial_geo
SELECT T4.Name FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN geo_mountain AS T3 ON T3.Country = T2.Country INNER JOIN mountain AS T4 ON T4.Name = T3.Mountain WHERE T2.Independence IS NOT NULL ORDER BY T4.Height DESC LIMIT 1	mondial_geo
SELECT COUNT(DISTINCT T3.Name) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country INNER JOIN mountain AS T3 ON T3.Name = T2.Mountain WHERE T3.Type = 'volcanic' AND T1.Population <= 5000000	mondial_geo
SELECT COUNT(DISTINCT T1.Name) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country INNER JOIN economy AS T3 ON T3.Country = T1.Code INNER JOIN mountain AS T4 ON T4.Name = T2.Mountain WHERE T3.GDP > 1000000 AND T4.Height > 1000	mondial_geo
SELECT MAX(T3.Length) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN borders AS T3 ON T3.Country1 = T2.Country WHERE T2.Independence IS NOT NULL	mondial_geo
SELECT COUNT(DISTINCT T1.Name) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN borders AS T3 ON T3.Country1 = T2.Country WHERE T2.Government = 'republic' AND T3.Length > 200	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 ORDER BY T2.Length ASC LIMIT 1	mondial_geo
SELECT SUM(T4.GDP) FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN economy AS T4 ON T4.Country = T1.Code WHERE T3.Name = 'Europe'	mondial_geo
SELECT COUNT(T3.Name) FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN province AS T4 ON T4.Country = T1.Code INNER JOIN geo_mountain AS T5 ON T5.Province = T4.Name WHERE T3.Name = 'European'	mondial_geo
SELECT T5.Name FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN geo_desert AS T4 ON T4.Country = T1.Code INNER JOIN desert AS T5 ON T5.Name = T4.Desert WHERE T3.Name = 'America' ORDER BY T5.Area DESC LIMIT 1	mondial_geo
SELECT T2.Country FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN population AS T4 ON T4.Country = T1.Code WHERE T3.Name = 'Europe' AND T4.Population_Growth > 0.03	mondial_geo
SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN population AS T4 ON T4.Country = T1.Code WHERE T3.Name = 'Europe' AND T4.Infant_Mortality < 100	mondial_geo
SELECT COUNT(DISTINCT T1.Name) FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country INNER JOIN population AS T3 ON T3.Country = T2.Country WHERE T2.Name = 'Bosnian' AND T3.Population_Growth < 0	mondial_geo
SELECT AVG(T4.Agriculture) FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN economy AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Africa'	mondial_geo
SELECT COUNT(DISTINCT T1.Name) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN economy AS T3 ON T3.Country = T2.Country WHERE T2.Independence IS NOT NULL AND T3.GDP > 5000	mondial_geo
SELECT AVG(T4.Inflation) FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN economy AS T4 ON T4.Country = T3.Code WHERE T1.Name = ( SELECT Name FROM continent ORDER BY Area DESC LIMIT 1 )	mondial_geo
SELECT T3.Name, T3.Area FROM city AS T1 INNER JOIN locatedOn AS T2 ON T1.Name = T2.City INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T1.Name = 'Balikpapan'	mondial_geo
SELECT T1.Name, T1.Population FROM city AS T1 INNER JOIN locatedOn AS T2 ON T1.Name = T2.City INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T3.Name = 'Sumatra'	mondial_geo
SELECT DISTINCT T3.Longitude, T3.Latitude FROM city AS T1 INNER JOIN locatedOn AS T2 ON T1.Name = T2.City INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T1.Province = 'South Yorkshire'	mondial_geo
SELECT DISTINCT Name FROM island WHERE Area > ( SELECT DISTINCT T3.Area FROM city AS T1 INNER JOIN locatedOn AS T2 ON T1.Name = T2.City INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T1.Province = 'Warwickshire' )	mondial_geo
SELECT DISTINCT T3.Name, T1.Name FROM city AS T1 INNER JOIN locatedOn AS T2 ON T1.Name = T2.City INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T3.Area < 200	mondial_geo
SELECT T2.Province, T1.Capital FROM province AS T1 INNER JOIN city AS T2 ON T1.Name = T2.Province AND T1.Country = T2.Country WHERE T2.Name = 'Glenrothes'	mondial_geo
SELECT T1.Name, T1.Population FROM city AS T1 INNER JOIN province AS T2 ON T2.Name = T1.Province WHERE T2.Population > 1000000	mondial_geo
SELECT City, Province FROM locatedOn WHERE Island IN ( SELECT Name FROM island WHERE Type = 'coral' )	mondial_geo
SELECT AVG(T1.Population) FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN sea AS T3 ON T3.Name = T2.Sea WHERE T3.Name = 'Baltic Sea'	mondial_geo
SELECT CAST(T1.Population AS REAL) * 100 / T2.Population FROM city AS T1 INNER JOIN province AS T2 ON T1.Province = T2.Name WHERE T1.Name = 'Edmonton'	mondial_geo
SELECT Name FROM river WHERE Sea = 'Black Sea'	mondial_geo
SELECT Lake, City FROM located WHERE Province = 'Albania' AND Lake IS NOT NULL	mondial_geo
SELECT Name, Height FROM mountain WHERE Mountains = 'Himalaya' ORDER BY Height DESC LIMIT 1	mondial_geo
SELECT Name, Latitude, Longitude FROM mountain WHERE Type = 'volcano'	mondial_geo
SELECT Name FROM mountain WHERE Type = 'volcano' AND Height BETWEEN 2000 AND 4000	mondial_geo
SELECT Name FROM river WHERE Sea = 'Mediterranean Sea' ORDER BY Length DESC LIMIT 1	mondial_geo
SELECT CAST(SUM(CASE WHEN type != 'volcano' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM mountain WHERE Mountains = 'Andes'	mondial_geo
SELECT T1.Name, T1.Province FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Sea = 'Atlantic Ocean'	mondial_geo
SELECT T3.Name, T3.Length FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T1.Name = 'Orleans'	mondial_geo
SELECT T1.Height, T1.Latitude, T1.Longitude FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN located AS T4 ON T4.Province = T3.Name WHERE T4.River = 'Lech'	mondial_geo
SELECT T1.SourceLongitude, T1.SourceLatitude, T1.SourceAltitude FROM river AS T1 INNER JOIN geo_river AS T2 ON T2.River = T1.Name WHERE T2.Province = 'Lorraine'	mondial_geo
SELECT T1.Name, T1.Height FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN geo_source AS T4 ON T4.Province = T3.Name WHERE T4.River = 'Blue Nile'	mondial_geo
SELECT T3.Length FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T1.Name = 'Little Rock'	mondial_geo
SELECT T1.Province, T2.Name FROM geo_river AS T1 INNER JOIN river AS T2 ON T1.River = T2.Name WHERE T2.Length > 1000	mondial_geo
SELECT T2.Province, T2.Country, T1.Height FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain WHERE T1.Name = 'Moldoveanu'	mondial_geo
SELECT DISTINCT T3.Name, T3.Length FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T2.Country = 'USA'	mondial_geo
SELECT AVG(T1.Height) FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain WHERE T2.Province = 'Nepal'	mondial_geo
SELECT MAX(T1.Population) - MIN(T1.population) FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Name = 'Seine'	mondial_geo
SELECT T1.Name, T1.Length FROM river AS T1 INNER JOIN located AS T2 ON T1.Name = T2.River INNER JOIN city AS T3 ON T3.Name = T2.City WHERE T3.Name = 'Belgrade'	mondial_geo
SELECT Country FROM language WHERE Name = 'Spanish' AND Percentage = 100	mondial_geo
SELECT Country FROM politics WHERE Government = 'British crown dependency'	mondial_geo
SELECT DISTINCT T1.River FROM located AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Canada' AND T1.River IS NOT NULL	mondial_geo
SELECT T2.Name FROM economy AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code ORDER BY T1.Inflation DESC LIMIT 1	mondial_geo
SELECT T1.Province, T1.Population FROM city AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'United Kingdom' ORDER BY T1.Population DESC LIMIT 3, 1	mondial_geo
SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Moldova' AND T2.Name = 'Jewish'	mondial_geo
SELECT AVG(Area) FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country WHERE T2.Continent = 'Asia'	mondial_geo
SELECT T2.Country, T1.Latitude, T1.Longitude FROM desert AS T1 INNER JOIN geo_desert AS T2 ON T1.Name = T2.Desert WHERE T1.Name = ( SELECT Name FROM desert ORDER BY Area ASC LIMIT 1 )	mondial_geo
SELECT T1.Percentage * T2.Population FROM language AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Serbian' AND T2.Name = 'Montenegro'	mondial_geo
SELECT COUNT(Mountain) FROM geo_mountain WHERE Country = ( SELECT Code FROM country ORDER BY Area DESC LIMIT 1 )	mondial_geo
SELECT DISTINCT T2.Name FROM located AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE Sea = ( SELECT Name FROM sea ORDER BY Depth ASC LIMIT 1 )	mondial_geo
SELECT T2.Country FROM politics AS T1 INNER JOIN economy AS T2 ON T1.Country = T2.Country WHERE T1.Government = 'Communist state' ORDER BY T2.GDP ASC LIMIT 1	mondial_geo
SELECT T1.Government FROM politics AS T1 INNER JOIN economy AS T2 ON T1.Country = T2.Country ORDER BY T2.Inflation DESC LIMIT 1	mondial_geo
SELECT T1.Country FROM politics AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE STRFTIME('%Y', T1.Independence) = '1960' ORDER BY T2.Infant_Mortality DESC LIMIT 1	mondial_geo
SELECT T1.Government, T3.Government FROM politics AS T1 INNER JOIN borders AS T2 ON T1.Country = T2.Country1 INNER JOIN politics AS T3 ON T3.Country = T2.Country2 ORDER BY T2.Length ASC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Arabic' AND T2.Percentage = 100 ORDER BY T1.Population ASC LIMIT 1	mondial_geo
SELECT Province FROM geo_desert WHERE Desert = ( SELECT Name FROM desert ORDER BY Area DESC LIMIT 1 )	mondial_geo
SELECT COUNT(*) FROM geo_lake WHERE Country = ( SELECT T4.Code FROM ( SELECT T2.Code, T2.Population FROM encompasses AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code INNER JOIN politics AS T3 ON T1.Country = T3.Country WHERE T1.Continent = 'Africa' AND T1.Percentage = 100 AND T3.Government = 'republic' ORDER BY Population DESC LIMIT 4 ) AS T4 ORDER BY population ASC LIMIT 1 )	mondial_geo
SELECT T4.Name FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN religion AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Asia' GROUP BY T4.Name ORDER BY SUM(T4.Percentage) DESC LIMIT 1	mondial_geo
SELECT * FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Country = T2.Country INNER JOIN country AS T4 ON T4.Code = T3.Country WHERE T1.Name = ( SELECT Name FROM mountain ORDER BY Height DESC LIMIT 1 )	mondial_geo
SELECT T2.Name FROM islandIn AS T1 INNER JOIN sea AS T2 ON T2.Name = T1.Sea WHERE T1.Island = ( SELECT Name FROM island ORDER BY Area DESC LIMIT 1 )	mondial_geo
SELECT DISTINCT T1.Country FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Name = ( SELECT Name FROM river WHERE Sea = 'Atlantic Ocean' ORDER BY Length DESC LIMIT 1 )	mondial_geo
SELECT T3.Population FROM politics AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code INNER JOIN city AS T3 ON T3.Name = T2.Capital WHERE T1.Independence = '1947-08-15'	mondial_geo
SELECT T5.Percentage * T6.Population FROM ethnicGroup AS T5 INNER JOIN country AS T6 ON T5.Country = T6.Code WHERE Country = ( SELECT T3.Code FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN politics AS T4 ON T4.Country = T3.Code WHERE T4.Government = 'monarchy' AND T1.Name = 'Asia' ORDER BY T3.Population DESC LIMIT 1 ) AND T5.Name = 'Afro-Asian'	mondial_geo
SELECT T2.City, T1.Capital FROM country AS T1 INNER JOIN located AS T2 ON T1.Code = T2.Country INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Name = 'Euphrat'	mondial_geo
SELECT T2.Percentage * T1.Population FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country INNER JOIN politics AS T3 ON T3.Country = T2.Country WHERE T3.Dependent = 'USA' AND T2.Name = 'English'	mondial_geo
SELECT T1.Country, T2.Service , SUM(T1.Population) / SUM(T1.Area) FROM province AS T1 INNER JOIN economy AS T2 ON T1.Country = T2.Country WHERE T1.Country IN ( SELECT Country FROM encompasses WHERE Continent = 'Europe' ) GROUP BY T1.Country, T2.Service ORDER BY COUNT(T1.Name) DESC LIMIT 1	mondial_geo
SELECT T4.Capital, CAST(T3.Population AS REAL) * 100 / T4.Population FROM city AS T3 INNER JOIN ( SELECT T1.Capital , T1.Population FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country WHERE T2.Continent = 'Asia' ORDER BY T1.Population DESC LIMIT 2, 1 ) AS T4 ON T3.Name = T4.Capital	mondial_geo
SELECT Name FROM desert ORDER BY Area DESC LIMIT 1, 1	mondial_geo
SELECT Name FROM language WHERE Country = 'MNE' ORDER BY Percentage DESC LIMIT 1	mondial_geo
SELECT T1.Percentage FROM language AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Cayman Islands' AND T1.Name = 'English'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN located AS T2 ON T1.Code = T2.Country WHERE T2.River = 'Pjandsh'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Population > 1000000000 ORDER BY T2.GDP ASC LIMIT 1	mondial_geo
SELECT T4.Capital FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN country AS T4 ON T4.Province = T3.Name WHERE T1.Name = 'Licancabur'	mondial_geo
SELECT COUNT(T4.Sea) FROM mountain AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Mountain INNER JOIN island AS T3 ON T3.Name = T2.Island INNER JOIN islandIn AS T4 ON T4.Island = T3.Name WHERE T1.Name = 'Kerinci'	mondial_geo
SELECT DISTINCT T4.Name FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River INNER JOIN country AS T4 ON T4.Code = T2.Country WHERE T3.Name = 'Amazonas'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T2.Independence = '1492-01-01'	mondial_geo
SELECT COUNT(T2.Name) FROM country AS T1 INNER JOIN city AS T2 ON T2.Country = T1.Code WHERE T1.Name = 'France' AND T2.Population > 100000	mondial_geo
SELECT T2.Name FROM sea AS T1 INNER JOIN river AS T2 ON T2.Sea = T1.Name WHERE T1.Depth = 540 ORDER BY T2.Length DESC LIMIT 1	mondial_geo
SELECT T3.Country FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province ORDER BY T1.Height DESC LIMIT 1, 1	mondial_geo
SELECT T3.Longitude FROM mountain AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Mountain INNER JOIN island AS T3 ON T3.Name = T2.Island WHERE T1.Name = 'Olympos'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Area < 100 ORDER BY T2.GDP DESC LIMIT 1	mondial_geo
SELECT COUNT(T3.Name) FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T1.Name = 'Japan'	mondial_geo
SELECT T3.Name FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T1.Name = 'Bangladesh' AND T3.Name <> T1.Capital ORDER BY T3.Population DESC LIMIT 1	mondial_geo
SELECT T3.Name FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name <> T1.Capital ORDER BY T3.Population DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name = 'Grozny'	mondial_geo
SELECT T2.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Japan' ORDER BY T2.Percentage DESC LIMIT 1	mondial_geo
SELECT T1.Name, T3.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 INNER JOIN country AS T3 ON T3.Code = T2.Country2 WHERE T2.Length = 803	mondial_geo
SELECT T2.Percentage FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T3.Name = 'Russia' AND T1.Name = 'Europe'	mondial_geo
SELECT T3.Name FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country GROUP BY T3.Name HAVING COUNT(T3.Name) > 1	mondial_geo
SELECT T1.Population FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name = 'Fareham'	mondial_geo
SELECT T2.Infant_Mortality * T1.Population * T2.Population_Growth FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Switzerland'	mondial_geo
SELECT COUNT(T1.Name) FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN country AS T4 ON T4.Province = T3.Name WHERE T4.Name = 'United States'	mondial_geo
SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Equatorial Guinea'	mondial_geo
SELECT T2.GDP / T1.Population FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Switzerland'	mondial_geo
SELECT T4.Service * T4.GDP FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name INNER JOIN economy AS T4 ON T4.Country = T2.Country WHERE T3.Name = 'Fuenlabrada'	mondial_geo
SELECT MAX(T2.Length) / MIN(T2.Length) FROM located AS T1 INNER JOIN river AS T2 ON T1.River = T2.Name WHERE T1.Country = 'TJ'	mondial_geo
SELECT T1.Population / T1.Area FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name = 'Hanoi'	mondial_geo
SELECT Country, Name FROM ethnicGroup AS T1 WHERE Percentage < 100 AND Percentage = ( SELECT MAX(Percentage) FROM ethnicGroup AS T2 WHERE T1.Country = T2.Country )	mondial_geo
SELECT Desert FROM geo_desert GROUP BY Desert HAVING COUNT(DISTINCT Country) > 1	mondial_geo
SELECT River, GROUP_CONCAT(Province) FROM geo_river GROUP BY River HAVING COUNT(DISTINCT Country) > 1	mondial_geo
SELECT SUM(CASE WHEN T2.Name = 'Angola' THEN T1.Length ELSE 0 END) * 100 / SUM(T1.Length) FROM borders AS T1 LEFT JOIN country AS T2 ON T1.Country1 = T2.Code	mondial_geo
SELECT SUM(CASE WHEN Area <= 300 THEN 1 ELSE 0 END) * 100 / COUNT(*) FROM island WHERE Islands = 'Lesser Antilles' AND (Type != 'volcanic' OR Type IS NULL)	mondial_geo
SELECT CAST(SUM(CASE WHEN T2.Percentage = 100 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Name) FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'English'	mondial_geo
SELECT Capital FROM country WHERE Population <= ( SELECT MAX(Population) - MAX(Population) * 0.9995 FROM country )	mondial_geo
SELECT * FROM river WHERE Name = 'Donau'	mondial_geo
SELECT 100 - (CAST(SUM(CASE WHEN Target = 'Christian' THEN 1 ELSE 0 END) AS REAL)) * 100 / COUNT(Country) FROM target	mondial_geo
SELECT T2.Country FROM country AS T1 INNER JOIN isMember AS T2 ON T1.Code = T2.Country INNER JOIN organization AS T3 ON T3.Country = T2.Country INNER JOIN city AS T4 ON T4.Country = T3.Country WHERE T3.Abbreviation = 'EBRD' AND T4.Population BETWEEN 50000 AND 300000 AND T3.Established BETWEEN '1991-01-31' AND '1991-04-30'	mondial_geo
SELECT T2.River FROM country AS T1 INNER JOIN geo_river AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Slovenia' AND T2.River IN ( SELECT NAME FROM river WHERE Length > 500 AND River = 'Donau' )	mondial_geo
SELECT T2.City FROM sea AS T1 INNER JOIN located AS T2 ON T1.Name = T2.Sea INNER JOIN city AS T3 ON T3.Name = T2.City WHERE ( SELECT Depth FROM sea WHERE Name LIKE '%Bengal%' ) - T1.Depth = 4235	mondial_geo
SELECT T2.City FROM lake AS T1 INNER JOIN located AS T2 ON T1.Name = T2.Lake INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN city AS T4 ON T4.Province = T3.Name WHERE T1.Longitude = -85.35 AND T1.Latitude = 11.6	mondial_geo
SELECT T1.Name FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN economy AS T4 ON T4.Country = T3.Code ORDER BY T4.Inflation DESC LIMIT 1	mondial_geo
SELECT T4.Country1, T4.Country2 FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country INNER JOIN borders AS T4 ON T4.Country1 = T3.Code WHERE T1.Name = 'Asia' AND T4.Length = 1782	mondial_geo
SELECT T1.Name FROM lake AS T1 INNER JOIN geo_lake AS T2 ON T1.Name = T2.Lake INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN country AS T4 ON T4.Code = T3.Country WHERE T4.Name = 'Bolivia' ORDER BY T1.Depth DESC LIMIT 1	mondial_geo
SELECT NAME FROM lake WHERE river = ( SELECT river FROM river WHERE NAME = 'Manicouagan' )	mondial_geo
SELECT T1.Islands FROM island AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Island INNER JOIN mountain AS T3 ON T3.Name = T2.Mountain WHERE T3.Name = 'Rinjani'	mondial_geo
SELECT T2.Sea2 FROM sea AS T1 INNER JOIN mergesWith AS T2 ON T1.Name = T2.Sea1 WHERE T1.Name = ( SELECT Name FROM sea ORDER BY Depth DESC LIMIT 1 )	mondial_geo
SELECT NAME FROM country WHERE CODE IN ( SELECT country FROM encompasses GROUP BY country HAVING COUNT(continent) > 1 ) AND population / Area <= 10	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Hindu' ORDER BY T1.Population / T1.Area ASC LIMIT 1	mondial_geo
SELECT Independence FROM politics WHERE country = ( SELECT country FROM economy WHERE GDP = 1100 )	mondial_geo
SELECT T1.Population / T1.Area FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE STRFTIME('%Y', T2.Established) = '1947'	mondial_geo
SELECT Capital, Province FROM country WHERE Name = 'Anguilla'	mondial_geo
SELECT Name, Capital FROM country ORDER BY Population ASC LIMIT 1	mondial_geo
SELECT MAX(Area) - MIN(Area) FROM continent WHERE Name = 'Asia' OR Name = 'Europe'	mondial_geo
SELECT Longitude, Latitude FROM city WHERE Name = 'Aarhus'	mondial_geo
SELECT MAX(Population) - MIN(Population) FROM country WHERE Name = 'United Kingdom' OR Name = 'Italy'	mondial_geo
SELECT City, Province FROM organization WHERE Name = 'European Bank for Reconstruction and Development'	mondial_geo
SELECT Name FROM lake ORDER BY Area * Depth DESC LIMIT 1	mondial_geo
SELECT Country1, Country2 FROM borders ORDER BY Length DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' ORDER BY T2.Percentage ASC LIMIT 1	mondial_geo
SELECT T2.Country FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country INNER JOIN language AS T3 ON T3.Country = T2.Country WHERE (T2.Name = 'Anglican' OR T2.Name = 'Christian' OR T2.Name = 'Roman Catholic') AND T3.Name = 'English' AND T3.Percentage = 100 GROUP BY T1.Name HAVING COUNT(T1.Name) = 3	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.Inflation DESC LIMIT 3	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN language AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'English' AND T2.Percentage = 100	mondial_geo
SELECT COUNT(T3.Name) FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country INNER JOIN organization AS T3 ON T3.Country = T2.Country WHERE T2.Independence = NULL AND STRFTIME('%Y', T3.Established) > '1960'	mondial_geo
SELECT T1.Province FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN river AS T3 ON T3.Name = T2.River WHERE T3.Name = 'Klaraelv'	mondial_geo
SELECT COUNT(DISTINCT T2.province), T3.Depth FROM country AS T1 INNER JOIN located AS T2 ON T1.Code = T2.Country INNER JOIN sea AS T3 ON T3.Name = T2.Sea WHERE T1.Code = 'I' AND T3.Name = 'Mediterranean Sea' GROUP BY T3.Depth	mondial_geo
SELECT name FROM country WHERE CODE IN ( SELECT country FROM politics WHERE government = 'British Overseas Territories' )	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T2.GDP DESC, T2.Agriculture ASC LIMIT 1	mondial_geo
SELECT T1.Area, COUNT(T3.Name) FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T1.Name = 'Asia' GROUP BY T1.Name, T1.Area	mondial_geo
SELECT T1.Province FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'United States' GROUP BY T1.Province ORDER BY COUNT(T1.Name) DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country ORDER BY T2.Independence DESC LIMIT 3	mondial_geo
SELECT country FROM politics WHERE government = 'republic' AND STRFTIME('%Y', independence) >= '1991' AND country IN ( SELECT country FROM country ) ORDER BY independence LIMIT 3	mondial_geo
SELECT NAME FROM organization WHERE country IN ( SELECT country FROM politics WHERE dependent != '' )	mondial_geo
SELECT T3.Name FROM desert AS T1 INNER JOIN geo_desert AS T2 ON T1.Name = T2.Desert INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T1.Name = 'Kalahari'	mondial_geo
SELECT T1.Name FROM desert AS T1 INNER JOIN geo_desert AS T2 ON T1.Name = T2.Desert INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T3.Name = 'Kazakstan' ORDER BY T1.Area DESC LIMIT 1	mondial_geo
SELECT T2.Sea2, T1.Depth FROM sea AS T1 INNER JOIN mergesWith AS T2 ON T1.Name = T2.Sea1 WHERE T1.Name = 'Baltic Sea'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country INNER JOIN politics AS T3 ON T3.Country = T2.Country WHERE STRFTIME('%Y', T2.Established) > '1907' AND T3.Government = 'constitutional monarchy' GROUP BY T1.Name ORDER BY COUNT(DISTINCT T2.Name) DESC LIMIT 1	mondial_geo
SELECT T1.Type, T3.Name, T4.Name FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN country AS T4 ON T3.Country = T4.Code WHERE T1.Name = 'Ampato'	mondial_geo
SELECT T1.Name FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain INNER JOIN province AS T3 ON T3.Name = T2.Province WHERE T3.Name = 'Ecuador' AND T1.Type = 'volcano'	mondial_geo
SELECT SUM(IIF(government = 'parliamentary democracy', 1, 0)) , CAST(SUM(IIF(government = 'parliamentary democracy', 1, 0)) AS REAL) * 100 / COUNT(*) FROM politics AS t1 WHERE STRFTIME('%Y', independence) >= '1993'	mondial_geo
SELECT CAST(SUM(CASE WHEN T1.Length > 3000 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Name) FROM river AS T1 INNER JOIN located AS T2 ON T1.Name = T2.River INNER JOIN country AS T3 ON T3.Code = T2.Country	mondial_geo
SELECT Name, Established FROM organization WHERE Abbreviation = 'ABEDA'	mondial_geo
SELECT Name FROM organization WHERE STRFTIME('%Y', Established) BETWEEN '1970' AND '1980'	mondial_geo
SELECT Name FROM organization WHERE City = 'London'	mondial_geo
SELECT Name, City FROM organization WHERE Country = 'USA'	mondial_geo
SELECT Abbreviation, Name, Established FROM organization WHERE City = 'Paris' ORDER BY Established ASC LIMIT 1	mondial_geo
SELECT Name, City FROM organization WHERE Name LIKE '%United Nation%'	mondial_geo
SELECT T1.Name, T3.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 INNER JOIN country AS T3 ON T3.Code = T2.Country2 ORDER BY T2.Length DESC LIMIT 1	mondial_geo
SELECT T3.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 INNER JOIN country AS T3 ON T3.Code = T2.Country2 WHERE T1.Name = 'Bulgaria'	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 WHERE T2.Length > 4000	mondial_geo
SELECT T2.Name FROM isMember AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Organization = 'IOC' ORDER BY T2.Population DESC LIMIT 1	mondial_geo
SELECT T2.Country, T2.Type FROM organization AS T1 INNER JOIN isMember AS T2 ON T1.Abbreviation = T2.Organization INNER JOIN country AS T3 ON T2.Country = T3.Code WHERE T1.Name = 'Islamic Development Bank'	mondial_geo
SELECT T2.Name, T2.Population FROM organization AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Asia Pacific Economic Cooperation'	mondial_geo
SELECT T1.Name FROM organization AS T1 INNER JOIN isMember AS T2 ON T2.Country = T1.Country INNER JOIN country AS T3 ON T2.Country = T3.Code WHERE T2.Type = 'National Society'	mondial_geo
SELECT country FROM organization WHERE country IN ( SELECT Code FROM country ) GROUP BY country ORDER BY COUNT(NAME) LIMIT 1	mondial_geo
SELECT Name, Capital FROM country WHERE Code IN ( SELECT Country FROM isMember WHERE type = 'Category III' AND Organization = 'IFAD' )	mondial_geo
SELECT T1.Name FROM organization AS T1 INNER JOIN isMember AS T2 ON T2.Country = T1.Country INNER JOIN country AS T3 ON T2.Country = T3.Code GROUP BY T1.Name ORDER BY COUNT(T3.Name) DESC LIMIT 1	mondial_geo
SELECT T2.Capital, T1.Name FROM organization AS T1 INNER JOIN country AS T2 ON T1.City = T2.Capital WHERE T2.Name = 'Australia'	mondial_geo
SELECT CAST(SUM(CASE WHEN T2.City = 'Washington' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.City) FROM country AS T1 INNER JOIN organization AS T2 ON T1.Code = T2.Country WHERE T2.Country = 'USA'	mondial_geo
SELECT Length FROM borders WHERE Country1 = 'MEX' AND Country2 = 'USA'	mondial_geo
SELECT T3.Name FROM country AS T1 INNER JOIN isMember AS T2 ON T1.Code = T2.Country INNER JOIN organization AS T3 ON T3.Country = T2.Country WHERE T1.Name = 'Singapore' ORDER BY T3.Established DESC LIMIT 1	mondial_geo
SELECT T2.Population FROM organization AS T1 INNER JOIN city AS T2 ON T1.City = T2.Name WHERE T1.Name = 'World Tourism Organization'	mondial_geo
SELECT T1.Height, T2.Province FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain WHERE T1.Name = 'Dhaulagiri'	mondial_geo
SELECT T1.Name, T1.Height FROM mountain AS T1 INNER JOIN geo_mountain AS T2 ON T1.Name = T2.Mountain WHERE T2.Province = 'Alaska'	mondial_geo
SELECT T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country ORDER BY T2.Infant_Mortality DESC LIMIT 1	mondial_geo
SELECT T2.Inflation FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Greece'	mondial_geo
SELECT T3.Government FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country INNER JOIN politics AS T3 ON T3.Country = T2.Country ORDER BY T2.Agriculture DESC LIMIT 1	mondial_geo
SELECT T1.Capital FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T2.Government = 'parliamentary democracy'	mondial_geo
SELECT T1.Name, T1.Population * T2.Percentage FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'Chinese' AND T2.Percentage > 70	mondial_geo
SELECT T3.Name, CAST(T3.Population AS REAL) * 100 / T1.Population FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Country = T2.Country ORDER BY T3.Population DESC LIMIT 1	mondial_geo
SELECT T1.Independence FROM politics AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'United States'	mondial_geo
SELECT Height, Name FROM mountain WHERE Type = 'volcanic' ORDER BY Height DESC LIMIT 1	mondial_geo
SELECT T1.Name FROM organization AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Saudi Arabia' ORDER BY T1.Established DESC LIMIT 1	mondial_geo
SELECT T2.Name FROM population AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code ORDER BY T1.Infant_Mortality DESC LIMIT 4, 1	mondial_geo
SELECT T1.Name FROM country AS T1 INNER JOIN religion AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(DISTINCT T2.Name) DESC LIMIT 1	mondial_geo
SELECT Name, Length FROM river ORDER BY Length DESC LIMIT 16, 1	mondial_geo
SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Capital = 'Nouakchott'	mondial_geo
SELECT T1.Name, T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country ORDER BY T1.Population ASC LIMIT 1	mondial_geo
SELECT T3.Name, T1.Name, T1.Depth FROM lake AS T1 INNER JOIN located AS T2 ON T1.Name = T2.Lake INNER JOIN province AS T3 ON T3.Name = T2.Province INNER JOIN country AS T4 ON T4.Code = T3.Country WHERE T4.Name = 'Zaire'	mondial_geo
SELECT T3.Height, T3.Type FROM island AS T1 INNER JOIN mountainOnIsland AS T2 ON T1.Name = T2.Island INNER JOIN mountain AS T3 ON T3.Name = T2.Mountain WHERE T1.Name = 'Madagaskar' ORDER BY T3.Height DESC LIMIT 1	mondial_geo
SELECT T1.Name, T2.GDP FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Population BETWEEN 60000000 AND 90000000 ORDER BY T2.GDP DESC LIMIT 1	mondial_geo
SELECT T2.Country FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T2.Country = T3.Code INNER JOIN economy AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Asia' ORDER BY T4.Agriculture DESC LIMIT 1	mondial_geo
SELECT T3.Government FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country INNER JOIN politics AS T3 ON T3.Country = T2.Country WHERE T2.GDP IS NOT NULL ORDER BY T2.GDP ASC LIMIT 1	mondial_geo
SELECT STRFTIME('%Y', T4.Established) FROM continent AS T1 INNER JOIN encompasses AS T2 ON T1.Name = T2.Continent INNER JOIN country AS T3 ON T2.Country = T3.Code INNER JOIN organization AS T4 ON T4.Country = T3.Code WHERE T1.Name = 'Europe' GROUP BY STRFTIME('%Y', T4.Established) ORDER BY COUNT(T4.Name) DESC LIMIT 1	mondial_geo
SELECT T2.Country2, T2.Length FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 INNER JOIN country AS T3 ON T3.Code = T2.Country2 WHERE T1.Name = ( SELECT Name FROM country ORDER BY Population DESC LIMIT 1 )	mondial_geo
SELECT T1.Population / T1.Area, T2.Industry FROM country AS T1 INNER JOIN economy AS T2 ON T1.Code = T2.Country WHERE T1.Province = 'Distrito Federal'	mondial_geo
SELECT * FROM politics WHERE STRFTIME('%Y', Independence) BETWEEN '1950' AND '1999' AND Government = 'parliamentary democracy'	mondial_geo
SELECT CAST(SUM(CASE WHEN STRFTIME('%Y', Independence) = '1960' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Country) FROM politics	mondial_geo
SELECT Name FROM desert WHERE Latitude < 30 OR Latitude > 40	mondial_geo
SELECT T1.Latitude, T1.Longitude FROM desert AS T1 INNER JOIN geo_desert AS T2 ON T1.Name = T2.Desert GROUP BY T1.Name, T1.Latitude, T1.Longitude HAVING COUNT(T1.Name) > 1	mondial_geo
SELECT CapProv FROM province WHERE Population < 80000 ORDER BY Population / Area DESC LIMIT 1	mondial_geo
SELECT COUNT(ID) FROM Customers WHERE MARITAL_STATUS = 'Never-married'	software_company
SELECT COUNT(ID) FROM Customers WHERE age >= 13 AND age <= 19	software_company
SELECT DISTINCT OCCUPATION FROM Customers WHERE EDUCATIONNUM = 11	software_company
SELECT COUNT(REFID) custmoer_number FROM Mailings1_2 WHERE RESPONSE = 'true'	software_company
SELECT COUNT(ID) FROM Customers WHERE OCCUPATION = 'Machine-op-inspct' AND age > 30	software_company
SELECT COUNT(ID) FROM Customers WHERE EDUCATIONNUM > 11 AND SEX = 'Female'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.SEX = 'Female' AND T2.RESPONSE = 'true'	software_company
SELECT DISTINCT T1.OCCUPATION FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.age > 40 AND T2.RESPONSE = 'true'	software_company
SELECT COUNT(T1.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T2.INHABITANTS_K > 30	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INCOME_K DESC LIMIT 1	software_company
SELECT COUNT(T1.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Machine-op-inspct' AND T2.INHABITANTS_K > 20 AND T2.INHABITANTS_K < 30	software_company
SELECT T1.ID FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.ID = 0 OR T1.ID = 1 ORDER BY INHABITANTS_K DESC LIMIT 1	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T3.INHABITANTS_K > 30 AND T2.RESPONSE = 'true'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.SEX = 'Male' AND T1.MARITAL_STATUS = 'Divorced' AND T2.RESPONSE = 'true'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T2.RESPONSE = 'true' ORDER BY T3.INCOME_K DESC LIMIT 1	software_company
SELECT DISTINCT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INHABITANTS_K DESC	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K = 25.746 AND T1.SEX = 'Male'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.age >= 13 AND T1.age <= 19 AND T2.RESPONSE = 'true'	software_company
SELECT AVG(T1.EDUCATIONNUM) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T2.INCOME_K DESC LIMIT 1	software_company
SELECT AVG(T1.age) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T2.RESPONSE = 'true'	software_company
SELECT COUNT(ID) FROM Customers WHERE SEX = 'Male'	software_company
SELECT GEOID FROM Customers WHERE OCCUPATION = 'Handlers-cleaners'	software_company
SELECT COUNT(ID) FROM Customers WHERE age < 30	software_company
SELECT GEOID FROM Demog WHERE INCOME_K >= 2100 AND INCOME_K <= 2500	software_company
SELECT COUNT(GEOID) FROM Demog WHERE INHABITANTS_K < 20 AND GEOID >= 20 AND GEOID <= 50	software_company
SELECT INHABITANTS_K FROM Demog WHERE GEOID = 239	software_company
SELECT T1.EDUCATIONNUM, T1.OCCUPATION FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INCOME_K < 2000 AND T1.age >= 20 AND T1.age <= 35	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.MARITAL_STATUS = 'Divorced' AND T1.age < 50	software_company
SELECT T1.GEOID, T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID ORDER BY T1.age DESC LIMIT 1	software_company
SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 4 AND SEX = 'Male' )	software_company
SELECT T1.OCCUPATION, T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.EDUCATIONNUM >= 4 AND T1.EDUCATIONNUM <= 6 AND T1.SEX = 'Male'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.age >= 40 AND T1.age <= 60 AND T1.MARITAL_STATUS = 'Widowed' AND T1.SEX = 'Male' AND T2.INCOME_K >= 2000 AND T2.INCOME_K <= 3000	software_company
SELECT DISTINCT T1.OCCUPATION FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K >= 30 AND T2.INHABITANTS_K <= 40	software_company
SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 5 AND SEX = 'Female' AND MARITAL_STATUS = 'Widowed' )	software_company
SELECT T1.MARITAL_STATUS FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.age >= 40 AND T1.age <= 60 ORDER BY T2.INCOME_K DESC LIMIT 1	software_company
SELECT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Farming-fishing' AND T1.SEX = 'Male' AND T1.age >= 20 AND T1.age <= 30	software_company
SELECT T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Farming-fishing' AND T1.SEX = 'Male' AND T1.age >= 20 AND T1.age <= 30	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.age >= 50 AND T1.age <= 60 AND T2.INHABITANTS_K >= 19 AND T2.INHABITANTS_K <= 24	software_company
SELECT T2.INCOME_K, T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID GROUP BY T2.INCOME_K, T2.INHABITANTS_K HAVING T1.age > 0.8 * AVG(T1.age)	software_company
SELECT CAST(SUM(CASE WHEN T2.INCOME_K > 2500 THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.MARITAL_STATUS = 'Never-married'	software_company
SELECT ID, GEOID FROM Customers WHERE EDUCATIONNUM < 3 AND age > 65	software_company
SELECT AVG(INCOME_K) FROM Demog	software_company
SELECT COUNT(REFID) custmoer_number FROM Mailings1_2 WHERE RESPONSE = 'false' AND REF_DATE BETWEEN '2007-02-01' AND '2007-02-28'	software_company
SELECT COUNT(ID) teenager_number FROM Customers WHERE OCCUPATION = 'Machine-op-inspct' AND age >= 13 AND age <= 19	software_company
SELECT COUNT(T2.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.OCCUPATION = 'Other-service' AND T2.INHABITANTS_K > 20	software_company
SELECT COUNT(T2.GEOID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T2.INCOME_K > 3000 AND T1.age >= 20 AND T1.age <= 29	software_company
SELECT CAST(SUM(CASE WHEN T1.MARITAL_STATUS = 'never married' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.GEOID = 24	software_company
SELECT CAST(SUM(CASE WHEN T1.age BETWEEN 80 AND 89 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INCOME_K > 3000	software_company
SELECT COUNT(REFID) FROM Mailings1_2 WHERE RESPONSE = 'true'	software_company
SELECT REFID FROM Mailings1_2 WHERE RESPONSE = 'true'	software_company
SELECT COUNT(ID) FROM Customers WHERE MARITAL_STATUS = 'Widowed' AND age < 50	software_company
SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30	software_company
SELECT COUNT(GEOID) FROM Demog WHERE INCOME_K < 2000 AND GEOID >= 10 AND GEOID <= 30	software_company
SELECT DISTINCT MARITAL_STATUS FROM Customers WHERE EDUCATIONNUM = 7 AND age = 62	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.MARITAL_STATUS = 'Widowed' AND T2.RESPONSE = 'true'	software_company
SELECT T2.RESPONSE, T3.INHABITANTS_K FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.SEX = 'Female' ORDER BY T1.age DESC LIMIT 1	software_company
SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 3 AND SEX = 'Female' )	software_company
SELECT T1.EDUCATIONNUM, T3.INCOME_K FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.age >= 30 AND T1.age <= 55 AND T2.RESPONSE = 'true'	software_company
SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Male' AND T1.age >= 30 AND T1.age <= 50 AND T2.INCOME_K >= 2000 AND T2.INCOME_K <= 2300	software_company
SELECT T1.EDUCATIONNUM, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.age >= 20 AND T1.age <= 30 ORDER BY T3.INHABITANTS_K DESC LIMIT 1	software_company
SELECT T2.INCOME_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.age >= 30 AND T1.age <= 55 AND T1.OCCUPATION = 'Machine-op-inspct'	software_company
SELECT DISTINCT T1.MARITAL_STATUS, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.EDUCATIONNUM > 8 AND T1.SEX = 'Female'	software_company
SELECT age FROM Customers WHERE GEOID IN ( SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30 ) AND SEX = 'Female'	software_company
SELECT DISTINCT T3.INCOME_K, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.EDUCATIONNUM > 6 AND T1.SEX = 'Male' AND T1.MARITAL_STATUS = 'Divorced'	software_company
SELECT DISTINCT T1.OCCUPATION, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.SEX = 'Female' AND T3.INHABITANTS_K >= 20 AND T3.INHABITANTS_K <= 25	software_company
SELECT CAST(SUM(CASE WHEN T2.RESPONSE = 'true' THEN 1.0 ELSE 0 END) AS REAL) * 100 / COUNT(T2.REFID) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.OCCUPATION = 'Handlers-cleaners' AND T1.SEX = 'Male'	software_company
SELECT T2.INCOME_K, T2.INHABITANTS_K FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID INNER JOIN Mailings1_2 AS T3 ON T1.ID = T3.REFID WHERE T3.REFID > ( SELECT 0.5 * COUNT(CASE WHEN RESPONSE = 'false' THEN 1 ELSE NULL END) / COUNT(RESPONSE) FROM Mailings1_2 )	software_company
SELECT CAST(SUM(CASE WHEN SEX = 'Male' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN SEX = 'Female' THEN 1 ELSE 0 END) FROM Customers WHERE age BETWEEN 13 AND 19 AND EDUCATIONNUM > 10	software_company
SELECT GEOID, INHABITANTS_K * INCOME_K * 12 FROM Demog WHERE INCOME_K > 3300	software_company
SELECT RESPONSE FROM Mailings1_2 GROUP BY RESPONSE ORDER BY COUNT(RESPONSE) DESC LIMIT 1	software_company
SELECT T2.INHABITANTS_K * T2.INCOME_K * 12 FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.SEX = 'Female' AND T1.OCCUPATION = 'Sales'	software_company
SELECT T1.EDUCATIONNUM, T1.OCCUPATION, T1.age FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T2.INHABITANTS_K = 33.658 AND T1.SEX = 'Female' AND T1.MARITAL_STATUS = 'Widowed'	software_company
SELECT T2.RESPONSE FROM Customers AS T1 INNER JOIN mailings3 AS T2 ON T1.ID = T2.REFID WHERE T1.GEOID = 134	software_company
SELECT T2.INCOME_K, T2.INHABITANTS_K * T2.INCOME_K * 12 FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.ID = 209556 OR T1.ID = 290135	software_company
SELECT T1.EDUCATIONNUM FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T2.REFID < 10 AND T2.RESPONSE = 'true'	software_company
SELECT COUNT(*) FROM Community_Area WHERE side = 'Central'	chicago_crime
SELECT side FROM Community_Area WHERE community_area_name = 'Lincoln Square'	chicago_crime
SELECT side FROM Community_Area GROUP BY side ORDER BY COUNT(side) DESC LIMIT 1	chicago_crime
SELECT community_area_name FROM Community_Area ORDER BY population ASC LIMIT 1	chicago_crime
SELECT commander FROM District WHERE district_name = 'Central'	chicago_crime
SELECT email FROM District WHERE district_name = 'Central'	chicago_crime
SELECT T2.community_area_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.neighborhood_name = 'Albany Park'	chicago_crime
SELECT COUNT(T3.community_area_no) FROM ( SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE community_area_name = 'Lincoln Square' GROUP BY T1.community_area_no ) T3	chicago_crime
SELECT T1.neighborhood_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T2.community_area_no ORDER BY T2.population DESC LIMIT 1	chicago_crime
SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.side = 'Central'	chicago_crime
SELECT T2.latitude, T2.longitude FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.district_name = 'Central'	chicago_crime
SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central'	chicago_crime
SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central' AND T1.domestic = 'TRUE'	chicago_crime
SELECT COUNT(*) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Central' AND T1.arrest = 'FALSE'	chicago_crime
SELECT COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no GROUP BY T1.community_area_name ORDER BY T1.population DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T1.community_area_name = 'Woodlawn' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.date LIKE '%1/2018%'	chicago_crime
SELECT T1.community_area_name FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.community_area_name IN ('Woodlawn', 'Lincoln Square') AND T2.date LIKE '%1/2018%' GROUP BY T1.community_area_name ORDER BY COUNT(T1.community_area_name) DESC LIMIT 1	chicago_crime
SELECT T1.fax FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.date LIKE '%1/2018%' GROUP BY T2.district_no ORDER BY COUNT(case_number) DESC LIMIT 1	chicago_crime
SELECT CAST(COUNT(T1.report_no) AS REAL) / COUNT(T2.community_area_no) FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.side = 'Central'	chicago_crime
SELECT CAST(SUM(CASE WHEN T2.district_name = 'Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.case_number) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no	chicago_crime
SELECT COUNT(*) FROM Community_Area WHERE side = 'Far North '	chicago_crime
SELECT commander FROM District WHERE district_name = 'Morgan Park'	chicago_crime
SELECT T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB100065'	chicago_crime
SELECT T2.district_name FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.longitude = '-87.63470194' AND T1.latitude = '41.66236555'	chicago_crime
SELECT T1.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB524952'	chicago_crime
SELECT SUM(CASE WHEN T2.secondary_description = 'SIMPLE' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.date LIKE '%9/8/2018%' AND T2.primary_description = 'ASSAULT'	chicago_crime
SELECT T2.district_no FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.secondary_description = 'FIRST DEGREE MURDER' GROUP BY T2.district_no ORDER BY COUNT(*) DESC LIMIT 1	chicago_crime
SELECT T2.iucr_no FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.case_number = 'JB296775'	chicago_crime
SELECT T3.community_area_name FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.primary_description = 'THEFT' AND T1.secondary_description = 'POCKET-PICKING' GROUP BY T2.community_area_no ORDER BY T2.case_number DESC LIMIT 1	chicago_crime
SELECT T1.alderman_first_name, T1.alderman_last_name FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.case_number = 'JB103470'	chicago_crime
SELECT T1.neighborhood_name FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.community_area_name = 'West Englewood'	chicago_crime
SELECT SUM(CASE WHEN T1.community_area_name = 'Roseland' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no	chicago_crime
SELECT description FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.case_number = 'JB134191'	chicago_crime
SELECT SUM(CASE WHEN T1.community_area_name = 'North Lawndale' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T2.arrest = 'TRUE'	chicago_crime
SELECT CAST(SUM(CASE WHEN T2.secondary_description = '$500 AND UNDER' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.case_number) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T1.community_area_no = T3.community_area_no WHERE T2.primary_description = 'THEFT' AND T3.community_area_name = 'West Englewood'	chicago_crime
SELECT CAST(SUM(CASE WHEN T3.title = 'Larceny' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.case_number) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.community_area_name = 'Edgewater'	chicago_crime
SELECT SUM(CASE WHEN date LIKE '5/%/2018%' THEN 1 ELSE 0 END) FROM Crime WHERE block = '018XX S KOMENSKY AVE'	chicago_crime
SELECT community_area_name FROM Community_Area ORDER BY population DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN location_description = 'ABANDONED BUILDING' THEN 1 ELSE 0 END) FROM Crime WHERE date LIKE '%2018%' AND domestic = 'TRUE'	chicago_crime
SELECT SUM(population) FROM Community_Area GROUP BY side ORDER BY SUM(population) LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Crime WHERE date LIKE '%2018%' AND location_description = 'ANIMAL HOSPITAL' AND fbi_code_no = '08B'	chicago_crime
SELECT description FROM FBI_Code WHERE crime_against = 'Society'	chicago_crime
SELECT T1.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T3.title = 'Disorderly Conduct' AND T2.fbi_code_no = 24 GROUP BY T2.fbi_code_no ORDER BY COUNT(T1.district_no) DESC LIMIT 1	chicago_crime
SELECT T2.title FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no ORDER BY T2.fbi_code_no DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T3.title = 'Criminal Sexual Abuse' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.district_name = 'Albany Park' AND T2.arrest = 'TRUE' AND T2.location_description = 'APARTMENT'	chicago_crime
SELECT T2.latitude, T2.longitude FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T1.community_area_name = 'Rogers Park' AND T3.title = 'Robbery' AND T3.fbi_code_no = 3	chicago_crime
SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN IUCR AS T3 ON T2.iucr_no = T3.iucr_no WHERE T1.community_area_name = 'West Garfield Park' AND T3.secondary_description = 'SOLICIT ON PUBLIC WAY' AND T3.primary_description = 'PROSTITUTION'	chicago_crime
SELECT COUNT(T2.report_no) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.domestic = 'TRUE' AND T2.location_description = 'BAR OR TAVERN' ORDER BY T1.Population DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T1.community_area_name = 'Near North Side' THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no	chicago_crime
SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T1.alderman_first_name = 'Walter' AND T1.alderman_last_name = 'Burnett' AND alderman_name_suffix = 'Jr.' AND T2.domestic = 'TRUE'	chicago_crime
SELECT T3.title FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no GROUP BY T3.title ORDER BY T1.population ASC, T3.fbi_code_no DESC LIMIT 1	chicago_crime
SELECT T1.ward_office_address FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.block = '010XX W LAKE ST' GROUP BY T1.ward_office_address	chicago_crime
SELECT T3.community_area_name FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no INNER JOIN Community_Area AS T3 ON T1.community_area_no = T3.community_area_no WHERE T2.primary_description = 'PROSTITUTION' GROUP BY T1.iucr_no ORDER BY T1.case_number DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T1.alderman_last_name = 'Burke' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no INNER JOIN FBI_Code AS T3 ON T2.fbi_code_no = T3.fbi_code_no WHERE T3.title = 'Vandalism' AND T2.arrest = 'TRUE' AND T1.alderman_first_name = 'Edward'	chicago_crime
SELECT COUNT(*) FROM Crime WHERE date LIKE '5/%/2018%' AND domestic = 'TRUE'	chicago_crime
SELECT index_code FROM IUCR WHERE primary_description = 'HOMICIDE'	chicago_crime
SELECT commander, email FROM District WHERE district_name = 'Chicago Lawn'	chicago_crime
SELECT alderman_name_suffix, alderman_first_name, alderman_last_name FROM Ward ORDER BY population DESC LIMIT 1	chicago_crime
SELECT community_area_name FROM Community_Area WHERE side = 'Northwest'	chicago_crime
SELECT title, description FROM FBI_Code WHERE crime_against = 'Persons'	chicago_crime
SELECT T1.secondary_description, T2.latitude, T2.longitude FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.iucr_no = 142	chicago_crime
SELECT SUM(CASE WHEN T2.alderman_last_name = 'Reilly' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.alderman_name_suffix IS NULL AND T2.alderman_first_name = 'Brendan' AND date LIKE '10/7/2018%'	chicago_crime
SELECT SUM(CASE WHEN T1.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T2.district_name = 'Englewood' AND T1.location_description = 'RESTAURANT'	chicago_crime
SELECT T2.case_number, T3.alderman_first_name, T3.alderman_last_name, T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no INNER JOIN Ward AS T3 ON T2.ward_no = T3.ward_no WHERE T2.block = '0000X N FRANCISCO AVE' GROUP BY T2.case_number, T3.alderman_first_name, T3.alderman_last_name, T1.district_name	chicago_crime
SELECT SUM(CASE WHEN T1.title = 'Misc Non-Index Offense' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no	chicago_crime
SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Douglas'	chicago_crime
SELECT CAST(COUNT(T2.report_no) AS REAL) / 12 FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no GROUP BY T1.community_area_no HAVING COUNT(T1.population) ORDER BY COUNT(T1.population) LIMIT 1	chicago_crime
SELECT CAST(COUNT(CASE WHEN T3.title = 'Larceny' THEN T2.report_no END) AS REAL) * 100 / COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T1.side = 'Central'	chicago_crime
SELECT T2.location_description, T1.alderman_first_name, T1.alderman_last_name, T1.alderman_name_suffix FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T3.primary_description = 'ARSON' AND T3.secondary_description = 'BY EXPLOSIVE'	chicago_crime
SELECT T2.date, T2.latitude, T2.longitude FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no WHERE T1.primary_description = 'DECEPTIVE PRACTICE' AND T1.secondary_description = 'UNLAWFUL USE OF RECORDED SOUND'	chicago_crime
SELECT COUNT(T2.report_no) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T3.title = 'Criminal Sexual Assault' AND T1.commander = 'Adnardo Gutierrez' AND T2.location_description = 'RESIDENCE'	chicago_crime
SELECT CAST(COUNT(CASE WHEN T2.arrest = 'TRUE' THEN T2.report_no END) AS REAL) * 100 / COUNT(T2.report_no) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'West Pullman' AND T2.domestic = 'TRUE'	chicago_crime
SELECT CAST(COUNT(CASE WHEN T1.domestic = 'TRUE' THEN T1.report_no END) AS REAL) * 100 / COUNT(T1.report_no), COUNT(CASE WHEN T1.domestic = 'TRUE' AND T1.location_description = 'BANK' THEN T1.report_no END) AS "number" FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T2.alderman_first_name = 'Christopher' AND T2.alderman_last_name = 'Taliaferro'	chicago_crime
SELECT COUNT(*) FROM Ward WHERE alderman_first_name = 'James'	chicago_crime
SELECT COUNT(*) FROM Crime WHERE date LIKE '1/1/2018%'	chicago_crime
SELECT AVG(population) FROM Community_Area WHERE side = 'West '	chicago_crime
SELECT T2.report_no FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no WHERE T1.alderman_first_name = 'Edward' AND T1.alderman_last_name = 'Burke' ORDER BY T2.beat DESC, T3.population DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T2.location_description = 'STREET' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T1.title = 'Homicide 1st & 2nd Degree'	chicago_crime
SELECT T2.alderman_first_name, T2.alderman_last_name FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.report_no = 23769	chicago_crime
SELECT T2.case_number FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Lincoln Square' AND T2.domestic = 'TRUE'	chicago_crime
SELECT T1.case_number FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.location_description = 'APARTMENT' AND T2.ward_office_address = '1958 N. Milwaukee Ave.'	chicago_crime
SELECT SUM(CASE WHEN T2.beat < 1000 THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Bridgeport'	chicago_crime
SELECT SUM(CASE WHEN T1.population > 60000 THEN 1 ELSE 0 END) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.side = 'Far North '	chicago_crime
SELECT SUM(CASE WHEN T1.crime_against = 'Property' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no WHERE T3.community_area_name = 'Riverdale'	chicago_crime
SELECT SUM(CASE WHEN T2.domestic = 'TRUE' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no WHERE T1.ward_email = 'ward13@cityofchicago.org'	chicago_crime
SELECT T1.address FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T2.case_number = 'JB107731'	chicago_crime
SELECT 1.0 * SUM(CASE WHEN T1.population > 50000 THEN T2.beat ELSE 0 END) AS sum FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.side = 'Central'	chicago_crime
SELECT T2.case_number FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T2.date LIKE '6/%/2018%' AND T1.crime_against = 'Society'	chicago_crime
SELECT CAST(COUNT(CASE WHEN T2.domestic = 'TRUE' THEN T2.domestic END) AS REAL) * 100 / COUNT(T2.domestic) FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no GROUP BY T1.community_area_no HAVING COUNT(T1.population) ORDER BY COUNT(T1.population) DESC LIMIT 1	chicago_crime
SELECT COUNT(T1.report_no) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.Population < 52000 AND T1.beat > ( SELECT AVG(T1.beat) * 0.9 FROM Crime AS T1 INNER JOIN Ward AS T2 ON T1.ward_no = T2.ward_no WHERE T2.Population < 52000 )	chicago_crime
SELECT community_area_name, side FROM Community_Area WHERE side = 'Far North ' AND population BETWEEN 50000 AND 70000	chicago_crime
SELECT latitude, longitude FROM Crime WHERE location_description = 'ALLEY' AND arrest = 'TRUE' GROUP BY latitude, longitude	chicago_crime
SELECT commander, email, phone FROM District WHERE district_name = 'Ogden'	chicago_crime
SELECT fbi_code_no, description FROM FBI_Code WHERE title = 'Gambling'	chicago_crime
SELECT CAST(COUNT(CASE WHEN index_code = 'I' THEN iucr_no ELSE NULL END) AS REAL) * 100 / COUNT(iucr_no) FROM IUCR	chicago_crime
SELECT T2.location_description FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.district_name = 'Austin' GROUP BY T2.location_description ORDER BY COUNT(T2.case_number) DESC LIMIT 1	chicago_crime
SELECT CAST(COUNT(T1.ward_no) AS REAL) / COUNT(DISTINCT T3.side) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no	chicago_crime
SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T2.location_description = 'STREET' GROUP BY T1.community_area_no ORDER BY COUNT(T2.location_description) DESC LIMIT 1	chicago_crime
SELECT CAST(COUNT(T2.report_no) AS REAL) / COUNT(DISTINCT T1.district_name) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T3.secondary_description = 'RECKLESS HOMICIDE'	chicago_crime
SELECT T2.ward_office_address, T2.ward_office_phone FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.arrest = 'FALSE' GROUP BY T2.ward_office_address, T2.ward_office_phone ORDER BY COUNT(T1.arrest) DESC LIMIT 1	chicago_crime
SELECT T1.case_number, T1.latitude, T1.longitude FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T2.iucr_no = T1.iucr_no WHERE T2.secondary_description = 'CHILD ABDUCTION'	chicago_crime
SELECT T3.secondary_description FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T1.side = 'Northwest ' GROUP BY T3.secondary_description ORDER BY COUNT(*) DESC LIMIT 1	chicago_crime
SELECT T2.community_area_no FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.domestic = 'TRUE' GROUP BY T2.community_area_no ORDER BY COUNT(T2.community_area_no) ASC LIMIT 1	chicago_crime
SELECT CAST(COUNT(CASE WHEN T1.secondary_description LIKE '%CANNABIS%' THEN T1.secondary_description END) AS REAL) * 100 / COUNT(T1.secondary_description) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T3.title = 'Drug Abuse'	chicago_crime
SELECT CAST(COUNT(T2.case_number) AS REAL) / 28 FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no WHERE T2.date LIKE '2/%/2018%' AND T1.index_code = 'N'	chicago_crime
SELECT T2.community_area_name, T2.population FROM Crime AS T1 INNER JOIN Community_Area AS T2 ON T2.community_area_no = T1.community_area_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T1.iucr_no WHERE T3.iucr_no = ( SELECT iucr_no FROM IUCR WHERE secondary_description = 'SOLICIT FOR PROSTITUTE' GROUP BY iucr_no HAVING COUNT(iucr_no) > ( SELECT SUM(CASE WHEN secondary_description = 'SOLICIT FOR PROSTITUTE' THEN 1.0 ELSE 0 END) / COUNT(iucr_no) AS average FROM IUCR ) )	chicago_crime
SELECT COUNT(CASE WHEN T3.title = 'Disorderly Conduct' THEN T2.report_no END) * 100.0 / COUNT(T2.report_no) AS per FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T1.district_name = 'Harrison'	chicago_crime
SELECT ROUND(CAST(COUNT(CASE WHEN T1.secondary_description = 'VEHICULAR HIJACKING' THEN T1.iucr_no END) AS REAL) / CAST(COUNT(DISTINCT CASE WHEN T1.secondary_description = 'VEHICULAR HIJACKING' THEN T3.district_name END) AS REAL) - CAST(COUNT(CASE WHEN T1.secondary_description = 'AGGRAVATED VEHICULAR HIJACKING' THEN T1.iucr_no END) AS REAL) / CAST(COUNT(DISTINCT CASE WHEN T1.secondary_description = 'AGGRAVATED VEHICULAR HIJACKING' THEN T3.district_name END) AS REAL), 4) AS "difference" FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no	chicago_crime
SELECT COUNT(*) FROM Crime WHERE longitude = '-87.72658001'	chicago_crime
SELECT secondary_description FROM IUCR WHERE primary_description = 'NARCOTICS' GROUP BY secondary_description	chicago_crime
SELECT alderman_first_name FROM Ward WHERE Population > 50000	chicago_crime
SELECT T2.report_no FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no WHERE T1.title = 'Drug Abuse'	chicago_crime
SELECT SUM(CASE WHEN T3.district_name = 'Calumet' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.primary_description = 'WEAPONS VIOLATION'	chicago_crime
SELECT T2.latitude, T2.longitude FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'Belmont Cragin' GROUP BY T2.latitude, T2.longitude	chicago_crime
SELECT SUM(CASE WHEN T4.neighborhood_name = 'Hermosa' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T4 ON T4.community_area_no = T3.community_area_no	chicago_crime
SELECT SUM(CASE WHEN T2.domestic = 'TRUE' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.commander = 'Ronald A. Pontecore Jr.'	chicago_crime
SELECT SUM(CASE WHEN T1.crime_against = 'Society' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T3.district_name = 'Wentworth'	chicago_crime
SELECT T3.phone FROM Ward AS T1 INNER JOIN Crime AS T2 ON T2.ward_no = T1.ward_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.alderman_first_name = 'Emma' AND T1.alderman_last_name = 'Mitts'	chicago_crime
SELECT SUM(CASE WHEN T3.community_area_name = 'Lake View' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T2.fbi_code_no = T1.fbi_code_no INNER JOIN Community_Area AS T3 ON T3.community_area_no = T2.community_area_no WHERE T1.description = 'The theft of a motor vehicle.'	chicago_crime
SELECT T3.district_name FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.primary_description = 'INTIMIDATION' GROUP BY T3.district_name ORDER BY COUNT(T1.primary_description) DESC LIMIT 1	chicago_crime
SELECT T2.domestic FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T1.community_area_name = 'North Lawndale' AND T2.domestic = 'TRUE' GROUP BY T2.domestic ORDER BY COUNT(T2.domestic) DESC LIMIT 1	chicago_crime
SELECT T3.ward_no FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN Ward AS T3 ON T3.ward_no = T2.ward_no WHERE T1.primary_description = 'INTIMIDATION' AND T1.secondary_description = 'EXTORTION' AND T3.Population > 55000 GROUP BY T3.ward_no ORDER BY COUNT(T3.ward_no) DESC LIMIT 1	chicago_crime
SELECT T3.commander FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN District AS T3 ON T3.district_no = T2.district_no WHERE T1.secondary_description = 'CRIMINAL SEXUAL ABUSE' GROUP BY T3.commander ORDER BY COUNT(T1.secondary_description) DESC LIMIT 1	chicago_crime
SELECT CAST(COUNT(CASE WHEN T2.domestic = 'FALSE' THEN T2.case_number END) AS REAL) * 100 / COUNT(T2.case_number) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T1.district_name = 'Jefferson Park'	chicago_crime
SELECT AVG(T2.Population) FROM Crime AS T1 INNER JOIN Ward AS T2 ON T2.ward_no = T1.ward_no WHERE T1.location_description = 'APARTMENT' AND T1.arrest = 'FALSE'	chicago_crime
SELECT alderman_first_name, alderman_last_name FROM Ward ORDER BY Population DESC LIMIT 5	chicago_crime
SELECT COUNT(*) AS cnt FROM FBI_Code WHERE crime_against = 'Property'	chicago_crime
SELECT COUNT(*) AS cnt FROM District WHERE zip_code = 60608	chicago_crime
SELECT crime_against FROM FBI_Code WHERE title = 'Criminal Sexual Abuse'	chicago_crime
SELECT T1.community_area_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no ORDER BY T2.community_area_no DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T1.longitude = '-87.54430496' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.report_no = T2.iucr_no WHERE T2.index_code = 'I' AND T1.latitude = '41.64820251'	chicago_crime
SELECT T2.commander FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.arrest = 'FALSE' GROUP BY T2.commander ORDER BY COUNT(T1.report_no) DESC LIMIT 1	chicago_crime
SELECT T2.primary_description, T2.secondary_description FROM Crime AS T1 INNER JOIN IUCR AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.location_description = 'AIRCRAFT' GROUP BY T1.iucr_no ORDER BY COUNT(T1.iucr_no) DESC LIMIT 1	chicago_crime
SELECT T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.district_name IN ('Deering', 'Near West') AND T2.location_description = 'LIBRARY' GROUP BY T1.district_name ORDER BY COUNT(T2.district_no) DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T2.arrest = 'TRUE' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.location_description = 'DAY CARE CENTER' AND T1.secondary_description = 'FORCIBLE ENTRY' AND T1.primary_description = 'BURGLARY'	chicago_crime
SELECT T2.district_name FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.domestic = 'TRUE' GROUP BY T2.district_name ORDER BY COUNT(T1.district_no) DESC LIMIT 1	chicago_crime
SELECT T2.location_description FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.population = ( SELECT MIN(population) FROM Community_Area ) AND T2.location_description IS NOT NULL GROUP BY T2.location_description	chicago_crime
SELECT SUM(CASE WHEN T1.description LIKE '%The violation of laws%' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.Arrest = 'FALSE'	chicago_crime
SELECT T2.latitude, T2.longitude FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Simple Assault' AND T3.community_area_name = 'Chatham' AND T3.community_area_no = 44 ORDER BY T2.latitude DESC, T2.longitude DESC LIMIT 1	chicago_crime
SELECT T3.community_area_name FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.side = 'South' AND T1.description = 'The unlawful taking, carrying, leading, or riding away of property FROM the possession or constructive possession of another person.' GROUP BY T3.community_area_name ORDER BY COUNT(T1.fbi_code_no) DESC LIMIT 1	chicago_crime
SELECT SUM(CASE WHEN T3.community_area_name = 'Englewood' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.crime_against = 'Society'	chicago_crime
SELECT CAST(COUNT(T1.fbi_code_no) AS REAL) / 4 FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018'	chicago_crime
SELECT community_area_name FROM Community_Area WHERE population > 50000 LIMIT 3	chicago_crime
SELECT community_area_name FROM Community_Area WHERE side = 'Central'	chicago_crime
SELECT SUM(CASE WHEN side = 'South ' THEN 1 ELSE 0 END) - SUM(CASE WHEN side = 'North' THEN 1 ELSE 0 END) AS DIFF FROM Community_Area WHERE population > 300000	chicago_crime
SELECT phone, fax, tty, twitter FROM District WHERE district_name = 'Near West'	chicago_crime
SELECT commander FROM District WHERE district_name = 'Lincoln'	chicago_crime
SELECT primary_description, secondary_description FROM IUCR WHERE iucr_no = 275	chicago_crime
SELECT CAST(SUM(CASE WHEN primary_description = 'CRIM SEXUAL ASSAULT' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM IUCR WHERE index_code = 'I'	chicago_crime
SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.community_area_name = 'North Center'	chicago_crime
SELECT SUM(CASE WHEN T2.community_area_name = 'Forest Glen' THEN 1 ELSE 0 END) FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no	chicago_crime
SELECT SUM(T2.population) AS sum FROM Neighborhood AS T1 INNER JOIN Community_Area AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.neighborhood_name = 'Avondale Gardens' OR T1.neighborhood_name = 'Irving Park' OR T1.neighborhood_name = 'Kilbourn Park' OR T1.neighborhood_name = 'Merchant Park' OR T1.neighborhood_name = 'Old Irving Park' OR T1.neighborhood_name = 'The Villa'	chicago_crime
SELECT SUM(CASE WHEN T2.title = 'Weapons Violation' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no	chicago_crime
SELECT T2.case_number FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.title = 'Criminal Sexual Assault' AND T2.arrest = 'TRUE' AND T1.crime_against = 'Persons' LIMIT 3	chicago_crime
SELECT T1.case_number FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.title = 'Criminal Sexual Assault' AND T2.crime_against = 'Persons' AND T1.arrest = 'TRUE' LIMIT 3	chicago_crime
SELECT T1.primary_description FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.case_number = 'JB106010'	chicago_crime
SELECT T3.community_area_name FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Criminal Sexual Assault' LIMIT 3	chicago_crime
SELECT T1.fbi_code_no, T1.title FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.community_area_name = 'Rogers Park' GROUP BY T1.fbi_code_no, T1.title	chicago_crime
SELECT T1.district_no, T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T2.case_number = 'JB120039' GROUP BY T1.district_no, T1.district_name	chicago_crime
SELECT CAST(SUM(CASE WHEN T2.title = 'Drug Abuse' AND T1.location_description = 'STREET' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.fbi_code_no) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no	chicago_crime
SELECT ward_no FROM Ward ORDER BY Population DESC LIMIT 1	chicago_crime
SELECT beat, location_description FROM Crime WHERE case_number = 'JB112212'	chicago_crime
SELECT fbi_code_no FROM FBI_Code WHERE description = 'The killing of one human being by another.'	chicago_crime
SELECT T3.ward_office_address FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Ward AS T3 ON T2.ward_no = T3.ward_no WHERE T1.community_area_name = 'Montclare' GROUP BY T3.ward_office_address LIMIT 5	chicago_crime
SELECT T2.address, T2.commander FROM Crime AS T1 INNER JOIN District AS T2 ON T1.district_no = T2.district_no WHERE T1.location_description = 'YARD' AND T1.beat = 532	chicago_crime
SELECT T2.neighborhood_name FROM Community_Area AS T1 INNER JOIN Neighborhood AS T2 ON T1.community_area_no = T2.community_area_no WHERE T1.community_area_name = 'Lake View'	chicago_crime
SELECT T3.neighborhood_name FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T3 ON T2.community_area_no = T3.community_area_no WHERE T2.report_no = 23778	chicago_crime
SELECT T1.description FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T2.report_no = 23843	chicago_crime
SELECT SUM(CASE WHEN T1.commander = 'Jill M. Stevens' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no	chicago_crime
SELECT CAST(SUM(CASE WHEN T2.location_description = 'HOUSE' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.location_description) AS persent FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.neighborhood_name = 'Avalon Park'	chicago_crime
SELECT alderman_first_name, alderman_last_name, alderman_name_suffix FROM Ward WHERE ward_no = 21	chicago_crime
SELECT ward_no FROM Ward ORDER BY Population DESC LIMIT 1	chicago_crime
SELECT COUNT(*) FROM IUCR WHERE primary_description = 'ASSAULT'	chicago_crime
SELECT COUNT(*) FROM IUCR WHERE index_code = 'I'	chicago_crime
SELECT SUM(CASE WHEN T1.alderman_last_name = 'Dowell' THEN 1 ELSE 0 END) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.arrest = 'FALSE' AND T1.alderman_first_name = 'Pat'	chicago_crime
SELECT T1.ward_no, T1.alderman_first_name, T1.alderman_last_name, T1.alderman_name_suffix FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' GROUP BY T1.ward_no ORDER BY COUNT(T1.ward_no) DESC LIMIT 1	chicago_crime
SELECT COUNT(T1.ward_no) AS num FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.domestic = 'TRUE' ORDER BY T1.Population = ( SELECT Population FROM Ward ORDER BY Population DESC LIMIT 1 )	chicago_crime
SELECT T2.latitude, T2.longitude FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T1.alderman_first_name = 'Pat' AND T1.alderman_last_name = 'Dowell' AND T2.latitude IS NOT NULL AND T2.longitude IS NOT NULL	chicago_crime
SELECT T1.alderman_first_name, T1.alderman_last_name, COUNT(T1.ward_no) AS num FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE (SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' AND T1.alderman_first_name = 'Pat' AND T1.alderman_last_name = 'Dowell') OR (T1.alderman_first_name = 'Sophia' AND T1.alderman_last_name = 'King') GROUP BY T1.ward_no	chicago_crime
SELECT T2.case_number FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.primary_description = 'BATTERY'	chicago_crime
SELECT SUM(CASE WHEN T2.arrest = 'FALSE' THEN 1 ELSE 0 END) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T1.primary_description = 'BATTERY'	chicago_crime
SELECT T2.case_number FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.title = 'Homicide 1st & 2nd Degree'	chicago_crime
SELECT SUM(CASE WHEN SUBSTR(T2.date, 5, 4) = '2018' THEN 1 ELSE 0 END) FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.crime_against = 'Property' AND SUBSTR(T2.date, 1, 1) = '1'	chicago_crime
SELECT SUM(CASE WHEN SUBSTR(T2.date, 5, 4) = '2018' THEN 1 ELSE 0 END) FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio' AND SUBSTR(T2.date, 1, 1) = '1'	chicago_crime
SELECT T1.commander FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander IN ('Robert A. Rubio', 'Glenn White') AND SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' GROUP BY T1.commander	chicago_crime
SELECT T2.block FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio'	chicago_crime
SELECT COUNT(T1.ward_no) / 12 AS average FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.date LIKE '%2018%' AND T1.Population = ( SELECT MAX(T1.Population) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.date LIKE '%2018%' )	chicago_crime
SELECT CAST(SUM(CASE WHEN T1.primary_description = 'BATTERY' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*)FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.arrest = 'FALSE'	chicago_crime
SELECT COUNT(owner_state) FROM businesses WHERE owner_state = 'CA'	food_inspection
SELECT COUNT(score) FROM inspections WHERE score = 100	food_inspection
SELECT COUNT(`date`) FROM inspections WHERE STRFTIME('%Y', `date`) = '2016' AND type = 'Routine - Unscheduled'	food_inspection
SELECT DISTINCT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100	food_inspection
SELECT COUNT(DISTINCT T2.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T2.city IN ('San Francisco', 'SAN FRANCISCO', 'SF', 'S.F.')	food_inspection
SELECT T1.type FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen'	food_inspection
SELECT COUNT(T1.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'Low Risk'	food_inspection
SELECT DISTINCT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2014' AND T1.risk_category = 'Low Risk'	food_inspection
SELECT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2014-01-14' AND T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'Low Risk'	food_inspection
SELECT DISTINCT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' AND T2.name = 'Tiramisu Kitchen'	food_inspection
SELECT COUNT(T1.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.type = 'Routine - Unscheduled' AND T2.name = 'Tiramisu Kitchen'	food_inspection
SELECT COUNT(T2.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen' AND T1.type = 'Routine - Unscheduled' AND T1.score > 70	food_inspection
SELECT CASE WHEN SUM(CASE WHEN T2.name = 'OMNI S.F. Hotel - 2nd Floor Pantry' THEN 1 ELSE 0 END) > SUM(CASE WHEN T2.name = 'Tiramisu Kitchen' THEN 1 ELSE 0 END) THEN 'OMNI S.F. Hotel - 2nd Floor Pantry' ELSE 'Tiramisu Kitchen' END AS result FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'Low Risk'	food_inspection
SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.city IN ('San Francisco', 'SF', 'S.F.', 'SAN FRANCISCO') AND T1.risk_category = 'High Risk'	food_inspection
SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' GROUP BY T2.name ORDER BY COUNT(T2.name) DESC LIMIT 1	food_inspection
SELECT AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen'	food_inspection
SELECT business_id FROM inspections GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1	food_inspection
SELECT business_id FROM violations GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1	food_inspection
SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100 AND T1.`date` = '2016-09-28' AND T1.type = 'Routine - Unscheduled'	food_inspection
SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' GROUP BY T2.name ORDER BY COUNT(T2.name) DESC LIMIT 1	food_inspection
SELECT COUNT(DISTINCT T1.violation_type_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Stacks Restaurant' AND T1.`date` = '2016-10-04'	food_inspection
SELECT T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Chez Fayala, Inc.' AND T1.`date` = '2016-07-01' AND T1.risk_category = 'Moderate Risk'	food_inspection
SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE score = ( SELECT MIN(score) FROM inspections WHERE `date` = '2016-09-26' AND type = 'Routine - Unscheduled' ) AND T1.`date` = '2016-09-26' AND T1.type = 'Routine - Unscheduled'	food_inspection
SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.type = 'Complaint' GROUP BY T2.name ORDER BY COUNT(T1.business_id) DESC LIMIT 1	food_inspection
SELECT COUNT(T1.business_id) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Soma Restaurant And Bar' AND T1.type = 'Routine - Unscheduled'	food_inspection
SELECT T2.address FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'Low Risk' GROUP BY T2.address ORDER BY COUNT(T1.business_id) DESC LIMIT 1	food_inspection
SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = ( SELECT MIN(`date`) FROM violations WHERE risk_category = 'Low Risk' AND description = 'Permit license or inspection report not posted' ) AND T1.risk_category = 'Low Risk' AND T1.description = 'Permit license or inspection report not posted'	food_inspection
SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id GROUP BY T1.business_id ORDER BY COUNT(T1.business_id) DESC LIMIT 1	food_inspection
SELECT COUNT(T1.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.business_certificate = '304977' AND T1.`date` = '2013-10-07'	food_inspection
SELECT CAST(SUM(CASE WHEN T2.name = 'Chairman Bao' THEN T1.score ELSE 0 END) AS REAL) / COUNT(CASE WHEN T1.type = 'Routine - Unscheduled' THEN T1.score ELSE 0 END) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id	food_inspection
SELECT CAST(SUM(CASE WHEN T2.risk_category = 'Moderate Risk' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM businesses AS T1 INNER JOIN violations AS T2 ON T1.business_id = T2.business_id WHERE T1.name = 'Melody Lounge'	food_inspection
SELECT COUNT(business_id) FROM businesses WHERE city = 'HAYWARD'	food_inspection
SELECT COUNT(DISTINCT business_id) FROM inspections WHERE score < 50	food_inspection
SELECT COUNT(business_id) FROM businesses WHERE STRFTIME('%Y', application_date) = '2012'	food_inspection
SELECT COUNT(business_id) FROM inspections WHERE STRFTIME('%Y', `date`) = '2014' AND type = 'Foodborne Illness Investigation'	food_inspection
SELECT COUNT(T1.owner_name) FROM ( SELECT owner_name FROM businesses GROUP BY owner_name HAVING COUNT(owner_name) > 5 ) T1	food_inspection
SELECT DISTINCT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2013' AND T1.score = 100	food_inspection
SELECT T2.city FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T1.risk_category = 'High Risk' GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1	food_inspection
SELECT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = ( SELECT MIN(score) FROM inspections )	food_inspection
SELECT COUNT(T1.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'Tiramisu Kitchen' AND T1.risk_category = 'High Risk'	food_inspection
SELECT COUNT(*) FROM ( SELECT T1.business_id FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.tax_code = 'H24' AND T1.type = 'Complaint' GROUP BY T1.business_id HAVING COUNT(T1.business_id) > 5 ) T3	food_inspection
SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2013' AND T1.description = 'Contaminated or adulterated food'	food_inspection
SELECT COUNT(DISTINCT T2.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id INNER JOIN inspections AS T3 ON T2.business_id = T3.business_id WHERE STRFTIME('%Y', T1.`date`) = '2015' AND T2.postal_code = '94102' AND T3.score > 90	food_inspection
SELECT DISTINCT T4.name FROM ( SELECT T3.name, T3.years, row_number() OVER (PARTITION BY T3.name ORDER BY T3.years) AS rowNumber FROM ( SELECT DISTINCT name, STRFTIME('%Y', `date`) AS years FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100 ) AS T3 ) AS T4 GROUP BY T4.name, date(T4.years || '-01-01', '-' || (T4.rowNumber - 1) || ' years') HAVING COUNT(T4.years) = 4	food_inspection
SELECT AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) BETWEEN '2014' AND '2016' AND T2.owner_name = 'Yiu Tim Chan' AND T2.address = '808 Pacific Ave' AND T2.city = 'San Francisco'	food_inspection
SELECT AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id GROUP BY T2.owner_name ORDER BY COUNT(T2.business_id) DESC LIMIT 1	food_inspection
SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2014' AND T1.risk_category = 'Low Risk' GROUP BY T2.name ORDER BY COUNT(T2.business_id) DESC LIMIT 1	food_inspection
SELECT T4.owner_name FROM violations AS T3 INNER JOIN businesses AS T4 ON T3.business_id = T4.business_id INNER JOIN ( SELECT T2.owner_name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id GROUP BY T2.owner_name ORDER BY COUNT(T1.business_id) DESC LIMIT 5 ) AS T5 ON T4.owner_name = T5.owner_name WHERE T3.risk_category = 'High Risk' GROUP BY T4.owner_name ORDER BY COUNT(T3.risk_category) DESC LIMIT 1	food_inspection
SELECT T2.name, AVG(T1.score) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id GROUP BY T2.name ORDER BY COUNT(T2.business_id) DESC LIMIT 1	food_inspection
SELECT COUNT(DISTINCT business_id) FROM inspections WHERE STRFTIME('%Y', `date`) = '2013' AND score = ( SELECT MAX(score) FROM inspections WHERE STRFTIME('%Y', `date`) = '2013' )	food_inspection
SELECT business_id FROM inspections WHERE type = 'Structural Inspection' AND `date` LIKE '2016-02%'	food_inspection
SELECT COUNT(DISTINCT business_id) FROM violations WHERE risk_category = 'Low Risk' AND description = 'Unpermitted food facility'	food_inspection
SELECT business_id, risk_category, description FROM violations WHERE violation_type_id = '103101'	food_inspection
SELECT T1.`date` FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'SAN BRUNO' ORDER BY T1.score DESC LIMIT 1	food_inspection
SELECT DISTINCT T2.type, T1.description FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN businesses AS T3 ON T2.business_id = T3.business_id WHERE T3.name = 'ART''S CAFÉ' AND T1.risk_category = 'Moderate Risk'	food_inspection
SELECT DISTINCT T1.violation_type_id, T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'STARBUCKS' AND T1.risk_category = 'High Risk'	food_inspection
SELECT T1.`date`, T1.score, T1.type FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.tax_code = 'AA'	food_inspection
SELECT DISTINCT T2.business_id, T2.name, T2.address FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.date = '2016-07-30'	food_inspection
SELECT T1.`date`, T1.risk_category, T1.description, T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.owner_name = 'Jade Chocolates LLC'	food_inspection
SELECT T2.name, T1.risk_category, T1.description FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.violation_type_id = '103111'	food_inspection
SELECT DISTINCT T2.name, T2.city, T2.tax_code FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' AND T1.`date` = '2014-06-03' LIMIT 5	food_inspection
SELECT T1.type FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.name = 'El Aji Peruvian Restaurant' ORDER BY T1.score DESC LIMIT 1	food_inspection
SELECT T2.owner_name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' AND T1.description = 'Improper cooking time or temperatures'	food_inspection
SELECT T2.name, T2.address FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.`date` = '2015-02-02' AND T1.type = 'Reinspection/Followup'	food_inspection
SELECT T2.name, T2.business_id FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score < 50	food_inspection
SELECT COUNT(business_id) FROM businesses WHERE address = '1825 POST St #223' AND city = 'SAN FRANCISCO'	food_inspection
SELECT DISTINCT owner_name FROM businesses WHERE owner_zip = '94104'	food_inspection
SELECT COUNT(tax_code) FROM businesses WHERE tax_code = 'H25'	food_inspection
SELECT COUNT(risk_category) FROM violations WHERE STRFTIME('%Y', `date`) = '2014' AND risk_category = 'Low Risk'	food_inspection
SELECT DISTINCT T2.business_id, T1.risk_category FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.owner_name = 'San Francisco Madeleine, Inc.'	food_inspection
SELECT DISTINCT T2.owner_name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score = 100	food_inspection
SELECT COUNT(DISTINCT T2.business_id) FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.postal_code = 94117 AND T1.risk_category = 'High Risk'	food_inspection
SELECT DISTINCT T1.violation_type_id, T1.risk_category FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id INNER JOIN inspections AS T3 ON T2.business_id = T3.business_id WHERE T3.score BETWEEN 70 AND 80	food_inspection
SELECT DISTINCT T3.tax_code, T2.type FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN businesses AS T3 ON T2.business_id = T3.business_id WHERE T3.name = 'Rue Lepic'	food_inspection
SELECT DISTINCT T3.name FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN businesses AS T3 ON T2.business_id = T3.business_id WHERE T1.`date` = '2016-05-27' AND T1.violation_type_id = 103157 AND T2.type = 'Routine - Unscheduled'	food_inspection
SELECT DISTINCT T2.owner_name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' AND T1.violation_type_id = 103109 AND T1.description = 'Unclean or unsanitary food contact surfaces'	food_inspection
SELECT DISTINCT T2.name FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.owner_city = 'Cameron Park' AND T1.score = 100	food_inspection
SELECT DISTINCT T1.violation_type_id FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.business_id BETWEEN 30 AND 50 AND T2.address = '747 IRVING St' AND T2.city = 'San Francisco'	food_inspection
SELECT DISTINCT T2.owner_name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.violation_type_id = 103156 AND T1.`date` = '2014-06-12'	food_inspection
SELECT T1.type FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.owner_address = '500 California St, 2nd Floor' AND T2.owner_city = 'SAN FRANCISCO' ORDER BY T1.score DESC LIMIT 1	food_inspection
SELECT COUNT(T2.business_id) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id WHERE STRFTIME('%Y', T1.`date`) = '2016' AND T2.type = 'Routine - Unscheduled'	food_inspection
SELECT DISTINCT T1.name, T3.risk_category FROM businesses AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN violations AS T3 ON T1.business_id = T3.business_id WHERE T2.score > 0.8 * ( SELECT AVG(score) FROM inspections )	food_inspection
SELECT CAST(SUM(CASE WHEN T1.risk_category = 'Low Risk' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.risk_category) FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN businesses AS T3 ON T2.business_id = T3.business_id WHERE T2.score < 95 AND T3.postal_code = 94110	food_inspection
SELECT DISTINCT T2.state, T1.ibu FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T1.ibu IS NOT NULL AND T1.ibu = ( SELECT MIN(ibu) FROM beers )	craftbeer
SELECT T2.name, T2.city FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T2.state = 'NY' ORDER BY T1.ibu DESC LIMIT 1	craftbeer
SELECT AVG(T1.abv) FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T2.name = 'Boston Beer Company' AND T1.ounces = 12	craftbeer
SELECT CAST(SUM(IIF(T1.style = 'American Adjunct Lager', 1, 0)) AS REAL) * 100 / COUNT(T1.brewery_id) FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T2.name = 'Stevens Point Brewery'	craftbeer
SELECT T1.state, T1.city, T2.name, T2.ibu FROM breweries AS T1 INNER JOIN beers AS T2 ON T1.id = T2.brewery_id GROUP BY T1.state, T1.city, T2.name, T2.ibu HAVING MAX(ibu) AND MIN(ibu) LIMIT 2	craftbeer
SELECT CAST(SUM(IIF(T2.state = 'WI', 1, 0)) AS REAL) * 100 / COUNT(T1.id) FROM beers AS T1 INNER JOIN breweries AS T2 ON T1.brewery_id = T2.id WHERE T1.style = 'American Blonde Ale'	craftbeer
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat DESC LIMIT 1	cookbook
SELECT T2.total_fat - T2.sat_fat FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.sodium < 5	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20	cookbook
SELECT DISTINCT CASE WHEN CASE WHEN T2.title = 'Raspberry Chiffon Pie' THEN T1.vitamin_c END > CASE WHEN T2.title = 'Fresh Apricot Bavarian' THEN T1.vitamin_c END THEN 'Raspberry Chiffon Pie' ELSE 'Fresh Apricot Bavarian' END AS "vitamin_c is higher" FROM Nutrition T1 INNER JOIN Recipe T2 ON T2.recipe_id = T1.recipe_id	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.prep_min > 10 ORDER BY T2.calories DESC LIMIT 1	cookbook
SELECT T2.calories FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT T2.optional FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry Chiffon Pie' AND T3.name = 'graham cracker crumbs'	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie' AND T2.max_qty = T2.min_qty	cookbook
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry Chiffon Pie' AND T2.preparation IS NULL	cookbook
SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.name = 'graham cracker crumbs'	cookbook
SELECT T2.min_qty FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry Chiffon Pie' AND T3.name = 'graham cracker crumbs'	cookbook
SELECT T2.calories * T2.pcnt_cal_fat FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT AVG(T2.calories) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.source = 'Produce for Better Health Foundation and 5 a Day'	cookbook
SELECT T2.calories FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Turkey Tenderloin Bundles'	cookbook
SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.name = '1% lowfat milk' AND T2.unit = 'cup(s)' AND T2.recipe_id = 1436	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat DESC LIMIT 1	cookbook
SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.name = 'seedless red grapes'	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T2.recipe_id = 1397 AND T2.optional = 'TRUE'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'frozen raspberries in light syrup' AND T2.max_qty = T2.min_qty	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id GROUP BY T1.name ORDER BY COUNT(T1.name) DESC LIMIT 1	cookbook
SELECT T2.preparation FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry-Pear Couscous Cake' AND T3.name = 'apple juice'	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Chicken Pocket Sandwich' AND T3.name = 'almonds' AND T2.unit = 'cup(s)'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.vitamin_c DESC LIMIT 1	cookbook
SELECT T2.vitamin_a FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Sherried Beef'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id GROUP BY T1.title ORDER BY COUNT(title) DESC LIMIT 1	cookbook
SELECT CAST(SUM(CASE WHEN T1.title = 'Lasagne-Spinach Spirals' THEN T2.sodium ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T1.title = 'Beef and Spinach Pita Pockets' THEN T2.sodium ELSE 0 END) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id	cookbook
SELECT AVG(T3.calories) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id WHERE T1.name = 'coarsely ground black pepper'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Apricot Yogurt Parfaits'	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T2.preparation = 'cooked in beef broth'	cookbook
SELECT COUNT(*) FROM Nutrition AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.vitamin_a > 0	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.vitamin_c DESC LIMIT 5	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id GROUP BY T2.ingredient_id ORDER BY COUNT(T2.ingredient_id) ASC LIMIT 1	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.category = 'baking products' AND T1.title = 'No-Bake Chocolate Cheesecake'	cookbook
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Strawberry Sorbet'	cookbook
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Warm Chinese Chicken Salad' AND T2.optional = 'TRUE'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.alcohol > 10 ORDER BY T1.prep_min DESC LIMIT 1	cookbook
SELECT COUNT(T1.title) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat - T2.sat_fat DESC LIMIT 1	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.source = 'National Potato Board' ORDER BY T2.calories DESC LIMIT 1	cookbook
SELECT T2.recipe_id, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id GROUP BY T2.recipe_id ORDER BY COUNT(T2.ingredient_id) DESC LIMIT 1	cookbook
SELECT T1.name, CAST(COUNT(T2.ingredient_id) AS FLOAT) * 100 / ( SELECT COUNT(T2.ingredient_id) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id ) AS "percentage" FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id GROUP BY T2.ingredient_id ORDER BY COUNT(T2.ingredient_id) DESC LIMIT 1	cookbook
SELECT T1.title, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.total_fat DESC LIMIT 1	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'almond extract'	cookbook
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Tomato-Cucumber Relish'	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Idaho Potato Supreme'	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id WHERE T2.max_qty = T2.min_qty ORDER BY T3.carbo DESC LIMIT 1	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id ORDER BY T3.vitamin_a DESC LIMIT 1	cookbook
SELECT T3.name, T2.max_qty FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.servings = 7	cookbook
SELECT CAST(SUM(CASE WHEN T2.sodium < 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.source = 'The California Tree Fruit Agreement'	cookbook
SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T2.unit = 'slice(s)'	cookbook
SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.category = 'canned dairy'	cookbook
SELECT T1.title, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'lima beans'	cookbook
SELECT CAST(SUM(CASE WHEN T1.servings >= 10 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'sea bass steak'	cookbook
SELECT T2.total_fat FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT pcnt_cal_prot FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Raspberry Chiffon Pie'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.alcohol = 0	cookbook
SELECT AVG(T1.vitamin_c) FROM Nutrition AS T1 INNER JOIN Recipe AS T2 ON T2.recipe_id = T1.recipe_id WHERE T2.title LIKE '%cake%'	cookbook
SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.category = 'dairy' AND T1.servings > 10	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.calories DESC LIMIT 1	cookbook
SELECT COUNT(T2.recipe_id) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id INNER JOIN Nutrition AS T3 ON T3.recipe_id = T2.recipe_id WHERE T1.category NOT LIKE '%dairy%'	cookbook
SELECT T3.name, T3.category FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Apricot Yogurt Parfaits'	cookbook
SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.max_qty <> T2.min_qty	cookbook
SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id ORDER BY T1.cook_min DESC LIMIT 1	cookbook
SELECT CAST(SUM(CASE WHEN T1.cook_min < 20 AND T2.cholestrl = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id	cookbook
SELECT CAST(SUM(CASE WHEN T4.calories > 200 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id INNER JOIN Nutrition AS T4 ON T4.recipe_id = T1.recipe_id WHERE T3.category = 'cheese'	cookbook
SELECT firstname, lastname FROM employee ORDER BY salary DESC LIMIT 1	human_resources
SELECT COUNT(*) FROM employee WHERE performance = 'Good'	human_resources
SELECT ssn FROM employee WHERE gender = 'M' AND CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) > 70000	human_resources
SELECT educationrequired FROM position WHERE positiontitle = 'Regional Manager'	human_resources
SELECT positiontitle FROM position WHERE positiontitle = 'Account Representative' OR positiontitle = 'Trainee' ORDER BY minsalary ASC LIMIT 1	human_resources
SELECT T2.locationcity FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.lastname = 'Adams' AND T1.firstname = 'Sandy'	human_resources
SELECT COUNT(*) FROM employee AS T1 INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.state = 'NY' AND T1.performance = 'Good'	human_resources
SELECT T2.officephone FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.lastname = 'Adams' AND T1.firstname = 'Sandy'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.address = '450 Peachtree Rd' AND T1.gender = 'M'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Account Representative'	human_resources
SELECT CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) - CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL) AS diff FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.lastname = 'Johnson' AND T1.firstname = 'James'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Trainee' AND T2.state = 'NY'	human_resources
SELECT T1.firstname, T1.lastname FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'	human_resources
SELECT T1.firstname, T1.lastname FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE (T1.lastname = 'Adams' AND T1.firstname = 'Sandy') OR (T1.lastname = 'Rodriguez' AND T1.firstname = 'Jose') ORDER BY T2.educationrequired DESC LIMIT 1	human_resources
SELECT T2.zipcode FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.gender = 'M' AND T1.performance = 'Good'	human_resources
SELECT T1.ssn FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.state = 'CA'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) > 20000 AND T2.positiontitle = 'Trainee'	human_resources
SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) AS avg FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'	human_resources
SELECT 100 * (AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) - CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL) AS per FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee'	human_resources
SELECT COUNT(*) FROM employee WHERE gender = 'F'	human_resources
SELECT T2.locationcity FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.firstname = 'Jose' AND T1.lastname = 'Rodriguez'	human_resources
SELECT T2.state FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.firstname = 'Emily' AND T1.lastname = 'Wood'	human_resources
SELECT T2.educationrequired FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'David' AND T1.lastname = 'Whitehead' AND T1.gender = 'M'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Miami'	human_resources
SELECT T1.firstname, T1.lastname FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.locationcity = 'Boston' ORDER BY T1.salary DESC LIMIT 1	human_resources
SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.locationcity = 'New York City' AND T1.performance = 'Good'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T2.locationcity = 'Chicago' AND T1.performance = 'Good'	human_resources
SELECT T2.positiontitle FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'Kenneth' AND T1.lastname = 'Charles'	human_resources
SELECT T2.address FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' ORDER BY T1.salary DESC LIMIT 1	human_resources
SELECT T2.maxsalary FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'Tracy' AND T1.lastname = 'Coulter'	human_resources
SELECT 100 * (CAST(REPLACE(SUBSTR(T2.maxsalary, 4), ',', '') AS REAL) - CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) AS per FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'Jose' AND T1.lastname = 'Rodriguez'	human_resources
SELECT COUNT(*) FROM employee WHERE performance = 'Poor' AND CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) > 50000	human_resources
SELECT firstname, lastname FROM employee WHERE CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(SUBSTR(salary, 4), ',', '') AS REAL)) FROM employee )	human_resources
SELECT COUNT(*) FROM position WHERE CAST(REPLACE(SUBSTR(maxsalary, 4), ',', '') AS REAL) < 100000	human_resources
SELECT salary FROM employee ORDER BY hiredate ASC LIMIT 1	human_resources
SELECT minsalary FROM position ORDER BY educationrequired DESC LIMIT 1	human_resources
SELECT T2.address, T2.locationcity, T2.state, T2.zipcode FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID GROUP BY T2.address, T2.locationcity, T2.state, T2.zipcode ORDER BY COUNT(*) DESC LIMIT 1	human_resources
SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree'	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Regional Manager' AND T1.gender = 'M'	human_resources
SELECT T2.positiontitle FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1	human_resources
SELECT T2.positiontitle FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T2.educationrequired = '2 year degree' AND T1.gender = 'F' GROUP BY T2.positiontitle ORDER BY COUNT(T2.positiontitle) DESC LIMIT 1	human_resources
SELECT COUNT(*) FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' AND T2.state = 'IL'	human_resources
SELECT AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1 INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Manager'	human_resources
SELECT T2.state FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Account Representative' AND T1.performance = 'Good' GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1	human_resources
SELECT firstname, lastname, performance FROM employee ORDER BY salary ASC LIMIT 1	human_resources
SELECT locationcity FROM location WHERE state IN ('CO', 'UT', 'CA')	human_resources
SELECT locationcity, address FROM location WHERE zipcode > 90000	human_resources
SELECT positiontitle FROM position WHERE educationrequired = '4 year degree'	human_resources
SELECT maxsalary FROM position WHERE positiontitle = 'Trainee'	human_resources
SELECT T1.firstname, T1.lastname, T1.ssn FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.performance = 'Average'	human_resources
SELECT T1.hiredate, T2.positiontitle, T1.salary FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'Emily' AND T1.lastname = 'Wood'	human_resources
SELECT T2.maxsalary, T2.minsalary, T2.positiontitle FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.firstname = 'Bill' AND T1.lastname = 'Marlin'	human_resources
SELECT T1.firstname, T1.lastname, T1.gender, T3.positiontitle FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T2.locationcity = 'New York City'	human_resources
SELECT T1.firstname, T1.lastname, T1.hiredate, T1.performance FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T2.state = 'UT'	human_resources
SELECT T1.firstname, T1.lastname, T2.locationcity, T2.address, T2.zipcode FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T3.positiontitle = 'Manager' AND T1.performance = 'Poor'	human_resources
SELECT T2.educationrequired, T1.firstname, T1.lastname, T1.salary FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID WHERE T1.performance = 'Poor' AND T2.positiontitle = 'Account Representative'	human_resources
SELECT T1.firstname, T1.lastname, T2.state, T2.locationcity FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID WHERE T1.ssn = '767-74-7373'	human_resources
SELECT T1.firstname, T1.lastname, T3.positiontitle, T2.locationcity, T2.officephone FROM employee AS T1  INNER JOIN location AS T2  ON T1.locationID = T2.locationID INNER JOIN position AS T3  ON T3.positionID = T1.positionID WHERE T2.state = 'CO'	human_resources
SELECT SUM(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) / 12 AS avg, T1.firstname, T1.lastname , T2.positiontitle, T3.locationcity FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID INNER JOIN location AS T3  ON T1.locationID = T3.locationID WHERE CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL) = ( SELECT MAX(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) FROM employee AS T1  INNER JOIN position AS T2  ON T1.positionID = T2.positionID INNER JOIN location AS T3  ON T1.locationID = T3.locationID )	human_resources
SELECT start_station_name, end_station_name FROM trip WHERE duration = ( SELECT MAX(duration) FROM trip )	bike_share_1
SELECT CAST(COUNT(subscription_type) AS REAL) * 100 / ( SELECT COUNT(subscription_type) FROM trip ) FROM trip WHERE subscription_type = 'Subscriber'	bike_share_1
SELECT T2.end_station_id, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T1.name = T2.end_station_name WHERE T2.bike_id = 13 ORDER BY T2.end_date DESC LIMIT 1	bike_share_1
SELECT DISTINCT T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, '/') + 1) - SUBSTR(CAST(T2.start_date AS TEXT), INSTR(T2.start_date, ' ') - 5) <> SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, '/') + 1) - SUBSTR(CAST(T2.end_date AS TEXT), INSTR(T2.end_date, ' ') - 5)	bike_share_1
SELECT T1.name, T1.long FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.time = '2013/11/03 02:01:01' AND T2.bikes_available = 0	bike_share_1
SELECT T2.start_station_name, T1.city FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name GROUP BY T2.start_station_name ORDER BY COUNT(T2.start_station_name) DESC LIMIT 1	bike_share_1
SELECT MAX(T2.max_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.id = 4080	bike_share_1
SELECT T2.time FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.bikes_available = ( SELECT MAX(T2.bikes_available) FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T1.name = 'San Jose Diridon Caltrain Station' )	bike_share_1
SELECT T1.id, T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.events LIKE '%Rain%' OR T2.events LIKE '%rain%'	bike_share_1
SELECT T2.end_station_name, T2.start_date FROM station AS T1 INNER JOIN trip AS T2 ON T2.end_station_name = T1.name WHERE T1.lat = 37.331415 AND T1.long = -121.8932	bike_share_1
SELECT COUNT(T2.start_date) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '8/%/2013%' AND T1.city = 'Redwood City'	bike_share_1
SELECT T1.start_station_name, T1.end_station_name, T2.mean_temperature_f FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.duration < 300	bike_share_1
SELECT T2.date, AVG(T2.min_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code GROUP BY T2.date ORDER BY COUNT(T1.start_date) DESC LIMIT 1	bike_share_1
SELECT AVG(T1.duration), AVG(T2.wind_dir_degrees) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), 1, INSTR(T2.date, '/') - 1) IN ('7', '8', '9') AND SUBSTR(CAST(T2.date AS TEXT), -4) = '2013'	bike_share_1
SELECT SUM(CASE WHEN city = 'San Jose' AND SUBSTR(installation_date, -4) = '2014' THEN 1 ELSE 0 END) FROM station UNION SELECT name FROM station WHERE city = 'San Jose' AND SUBSTR(installation_date, -4) = '2014'	bike_share_1
SELECT MAX(duration) FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%'	bike_share_1
SELECT CAST(duration AS REAL) / 60  FROM trip WHERE bike_id = 426 AND end_station_name = '2nd at South Park' AND start_station_name = 'Market at 4th' AND start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%'	bike_share_1
SELECT bike_id FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%' AND end_station_name = 'California Ave Caltrain Station' AND start_station_name = 'University and Emerson' AND duration = ( SELECT MAX(duration) FROM trip WHERE start_date LIKE '8/29/2013%' AND end_date LIKE '8/29/2013%' AND end_station_name = 'California Ave Caltrain Station' AND start_station_name = 'University and Emerson' )	bike_share_1
SELECT SUM(CASE WHEN city = 'San Francisco' AND dock_count > 20 THEN 1 ELSE 0 END) FROM station	bike_share_1
SELECT max_temperature_f, date FROM weather WHERE max_temperature_f = ( SELECT MAX(max_temperature_f) FROM weather WHERE max_temperature_f IS NOT NULL AND max_temperature_f IS NOT '' )	bike_share_1
SELECT DISTINCT CASE WHEN date = '7/15/2014' AND zip_code = 94301 THEN max_dew_point_f END FROM weather	bike_share_1
SELECT SUBSTR(CAST(date AS TEXT), -4) FROM weather GROUP BY SUBSTR(CAST(date AS TEXT), -4) ORDER BY SUM(CASE WHEN events LIKE '%Rain%' OR events LIKE '%rain%' THEN 1 ELSE 0 END) DESC LIMIT 1	bike_share_1
SELECT MIN(T2.duration), T2.bike_id FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '10/20/2014%' AND T1.lat = 37.789625 AND T1.long = -122.400811	bike_share_1
SELECT MIN(T2.duration), T2.end_station_name, COUNT(T2.start_station_name) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T2.start_date LIKE '12/1/2013%' AND T2.start_station_name = 'South Van Ness at Market' AND T2.subscription_type = 'Subscriber'	bike_share_1
SELECT T2.max_humidity FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date LIKE '8/29/2013%' AND T1.bike_id = 496 AND T1.start_station_name = 'Powell Street BART'	bike_share_1
SELECT T2.date, COUNT(T1.start_station_name) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '11/%/2014%' AND T2.zip_code = 94301 AND T2.events = 'Fog' AND T1.subscription_type = 'Subscriber'	bike_share_1
SELECT T1.start_station_name, T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.subscription_type = 'Customer' GROUP BY T1.start_station_name ORDER BY COUNT(T1.subscription_type) LIMIT 1	bike_share_1
SELECT DISTINCT T1.name FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.bikes_available = 0 AND T2.time LIKE '2013/11/03%'	bike_share_1
SELECT AVG(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Palo Alto'	bike_share_1
SELECT T1.start_station_name, T1.end_station_name, T2.city FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name )	bike_share_1
SELECT name, installation_date, city FROM station WHERE (SUBSTR(CAST(installation_date AS TEXT), 1, INSTR(installation_date, '/') - 1) = '5' AND SUBSTR(CAST(installation_date AS TEXT), INSTR(installation_date, '/') + 1, -6) >= '8' AND SUBSTR(CAST(installation_date AS TEXT), -4) = '2013') OR (SUBSTR(CAST(installation_date AS TEXT), 1, INSTR(installation_date, '/') - 1) IN ( '6', '7', '8', '9', '10', '11', '12' ) AND SUBSTR(CAST(installation_date AS TEXT), -4) = '2013')	bike_share_1
SELECT AVG(duration) FROM trip WHERE start_station_name = 'Adobe on Almaden' AND end_station_name = 'Ryland Park'	bike_share_1
SELECT T2.time, T1.name, T1.lat, T1.long FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.bikes_available = 0	bike_share_1
SELECT T1.id, T2.lat, T2.long FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.start_station_name = T1.end_station_name	bike_share_1
SELECT SUM(T1.dock_count - T2.bikes_available) FROM station AS T1 INNER JOIN status AS T2 ON T1.id = T2.station_id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.time = '2013/08/29 06:14:01'	bike_share_1
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.bike_id = 10 AND T2.mean_temperature_f > 62 AND T1.subscription_type = 'Subscriber'	bike_share_1
SELECT T2.max_gust_speed_mph, T2.cloud_cover FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T1.bike_id = 10 AND T2.mean_temperature_f > 62 AND T1.subscription_type = 'Customer' AND T1.start_station_name = 'MLK Library' AND T1.end_station_name = 'San Salvador at 1st' AND T1.duration = 386	bike_share_1
SELECT COUNT(T1.id) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.subscription_type = 'Subscriber' AND T2.min_visibility_miles = 4 AND T1.duration < 490 AND T1.start_station_name = '2nd at Folsom' AND T1.end_station_name = 'Civic Center BART (7th at Market)'	bike_share_1
SELECT SUM(T2.docks_available) FROM trip AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.start_station_id WHERE T1.zip_code = 912900	bike_share_1
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.min_temperature_f < 45	bike_share_1
SELECT MIN(T1.duration) , MIN(T1.duration) - AVG(T1.duration), T2.min_temperature_f FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date = '1/1/2014 0:00' AND T1.end_date = '12/31/2014 11:59' AND T1.start_station_name = '2nd at Folsom' AND T1.end_station_name = '5th at Howard' AND T1.subscription_type = 'Subscriber'	bike_share_1
SELECT AVG(duration) FROM trip WHERE start_date = '7/1/2014%' AND end_date = '7/31/2014%' AND start_station_name = 'Steuart at Market' AND end_station_name = 'Embarcadero at Sansome'	bike_share_1
SELECT AVG(max_temperature_f), AVG(min_temperature_f) FROM weather WHERE date LIKE '5/%/2015' AND mean_humidity BETWEEN 65 AND 75	bike_share_1
SELECT SUM(IIF(subscription_type = 'Subscriber', 1, 0)) - SUM(IIF(subscription_type = 'Customer', 1, 0)) FROM trip WHERE start_date LIKE '6/%/2013%'	bike_share_1
SELECT T2.date, T1.bike_id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2013' AND T2.events = 'Fog-Rain'	bike_share_1
SELECT T3.mean_visibility_miles, T3.mean_wind_speed_mph, T3.events, T1.lat, T1.long , T2.start_station_name, T2.end_station_name FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name INNER JOIN weather AS T3 ON T3.zip_code = T2.zip_code WHERE T3.events = 'Fog' ORDER BY T2.duration DESC LIMIT 1	bike_share_1
SELECT T1.start_date FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.date LIKE '8/%/2013' AND T1.start_station_name = 'Market at 10th' AND T1.end_station_name = 'South Van Ness at Market' AND T2.min_temperature_f = ( SELECT MIN(T2.min_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code AND T2.date = SUBSTR(CAST(T1.start_date AS TEXT), 1, INSTR(T1.start_date, ' ') - 1) WHERE T2.date LIKE '8/%/2013' AND T1.start_station_name = 'Market at 10th' AND T1.end_station_name = 'South Van Ness at Market' )	bike_share_1
SELECT T1.start_station_name, T1.end_station_name, T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.events = 'Rain' OR T2.events = 'rain' ORDER BY T1.duration DESC LIMIT 1	bike_share_1
SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE (T2.events = 'Rain' AND T2.precipitation_inches > 0.8) OR (T2.events = 'rain' AND T2.precipitation_inches > 0.8)	bike_share_1
SELECT DISTINCT T1.start_station_name, T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration > ( SELECT AVG(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name )	bike_share_1
SELECT SUM(CASE WHEN city = 'San Francisco' AND SUBSTR(installation_date, -4) = '2014' THEN 1 ELSE 0 END) FROM station	bike_share_1
SELECT COUNT(T2.city) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.end_station_name WHERE T2.city = 'Mountain View' AND T1.start_date LIKE '%2006%'	bike_share_1
SELECT T1.id FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' AND T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' )	bike_share_1
SELECT DISTINCT T1.bike_id FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.installation_date LIKE '%2013'	bike_share_1
SELECT COUNT(T1.subscription_type) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.end_station_name WHERE T1.subscription_type = 'Subscriber' AND T2.city = 'San Jose'	bike_share_1
SELECT T1.id FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.dock_count = 15 AND T1.duration = ( SELECT MIN(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.dock_count = 15 )	bike_share_1
SELECT SUBSTR(CAST(T1.start_date AS TEXT), INSTR(T1.start_date, ' '), -4) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'San Francisco' GROUP BY T1.start_station_name ORDER BY COUNT(T1.id) DESC LIMIT 1	bike_share_1
SELECT CAST(SUM(CASE WHEN T1.duration > 800 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.id) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'San Jose'	bike_share_1
SELECT COUNT(duration) FROM trip WHERE start_date LIKE '%/%/2013%' AND duration > 1000	bike_share_1
SELECT AVG(duration) FROM trip WHERE start_date LIKE '%2015%' AND start_station_name = 'South Van Ness at Market'	bike_share_1
SELECT SUM(IIF(start_station_id = end_station_id, 1, 0)) FROM trip	bike_share_1
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code ORDER BY T2.max_temperature_f DESC LIMIT 1	bike_share_1
SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 WHERE T2.events = 'Rain' AND T1.start_station_name = 'Mountain View City Hall'	bike_share_1
SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.events = 'Fog'	bike_share_1
SELECT T1.duration FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.max_wind_Speed_mph = 30 ORDER BY T1.duration DESC LIMIT 1	bike_share_1
SELECT AVG(T2.mean_temperature_f) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2013' AND T1.start_station_name = 'Market at 4th'	bike_share_1
SELECT T2.mean_humidity FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.id = 4275	bike_share_1
SELECT CAST(SUM(CASE WHEN T2.events = 'Rain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.id) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2015' AND T1.subscription_type = 'Customer'	bike_share_1
SELECT COUNT(installation_date) FROM station WHERE city = 'San Jose' AND (SUBSTR(CAST(installation_date AS TEXT), 1, INSTR(installation_date, '/') - 1) IN ('8', '9', '10', '11', '12') AND SUBSTR(CAST(installation_date AS TEXT), -4) = '2013') OR SUBSTR(CAST(installation_date AS TEXT), -4) > '2013'	bike_share_1
SELECT SUM(IIF(zip_code = 94107 AND date = '8/29/2013', mean_temperature_f, 0)) FROM weather	bike_share_1
SELECT SUM(IIF(zip_code = 94107 AND date = '8/29/2013', max_temperature_f - min_temperature_f, 0)) FROM weather	bike_share_1
SELECT T2.bikes_available FROM station AS T1 INNER JOIN status AS T2 ON T1.id = T2.station_id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.time = '2013/08/29 12:06:01'	bike_share_1
SELECT T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.id = 4069	bike_share_1
SELECT COUNT(T1.id) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '9/%/2013' AND T2.zip_code = 94107 AND T2.max_temperature_f > 70	bike_share_1
SELECT DISTINCT T1.start_station_name FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2013' AND T2.zip_code = 94107 AND T2.max_temperature_f > 80	bike_share_1
SELECT COUNT(T2.id) FROM station AS T1 INNER JOIN trip AS T2 ON T1.id = T2.start_station_id WHERE T2.subscription_type = 'Subscriber' AND T2.start_date LIKE '8/%/2013%' AND T1.dock_count > 20	bike_share_1
SELECT T2.lat, T2.long FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name )	bike_share_1
SELECT SUM(T2.docks_available) FROM trip AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.end_station_id WHERE T1.ID = 4069	bike_share_1
SELECT COUNT(T1.start_station_name) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2013%' AND T2.events = 'Fog' AND T1.start_station_name = '2nd at Townsend' AND T2.zip_code = 94107	bike_share_1
SELECT MAX(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2013%' AND T2.events = 'Fog' AND T2.zip_code = 94107	bike_share_1
SELECT T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.id = 4069	bike_share_1
SELECT COUNT(T1.id) FROM trip AS T1 INNER JOIN station AS T2 ON T2.ID = T1.start_station_id WHERE T2.city = 'San Francisco' AND T1.subscription_type = 'Subscriber'	bike_share_1
SELECT COUNT(T1.start_station_name) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2014%' AND T2.zip_code = 94107 AND T1.start_station_name = '2nd at Folsom' ORDER BY T2.max_temperature_f DESC LIMIT 1	bike_share_1
SELECT AVG(T1.duration) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T2.date LIKE '%2014%' AND T1.start_station_name = '2nd at Folsom' AND T2.max_temperature_f = ( SELECT max_temperature_f FROM weather ORDER BY max_temperature_f DESC LIMIT 1 )	bike_share_1
SELECT DISTINCT end_station_name FROM trip WHERE start_station_name = '2nd at South Park'	bike_share_1
SELECT SUM(IIF(zip_code = 94041 AND events = 'Rain', 1, 0)) FROM weather	bike_share_1
SELECT SUM(CASE WHEN city = 'Redwood City' AND SUBSTR(installation_date, -4) < '2014' THEN dock_count ELSE 0 END) NUM FROM station	bike_share_1
SELECT MAX(duration), CAST(MAX(duration) AS REAL) / 86400 FROM trip	bike_share_1
SELECT (max_temperature_f - 32) / 1.8000 , (mean_temperature_f - 32) / 1.8000 , (min_temperature_f - 32) / 1.8000 FROM weather WHERE SUBSTR(CAST(date AS TEXT), 1, INSTR(date, '/') - 1) = '8' AND SUBSTR(CAST(date AS TEXT), -4) = '2013' AND zip_code = 94107	bike_share_1
SELECT CAST(SUM(IIF(subscription_type = 'Subscriber', 1, 0)) AS REAL) / SUM(IIF(subscription_type = 'Customer', 1, 0)) FROM trip WHERE start_station_name = '2nd at South Park' AND end_station_name = '2nd at South Park'	bike_share_1
SELECT DISTINCT T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.zip_code = 94107	bike_share_1
SELECT DISTINCT T2.start_station_name, T2.end_station_name FROM weather AS T1 INNER JOIN trip AS T2 ON T1.zip_code = T2.zip_code WHERE T1.date LIKE '%2014' AND T1.mean_temperature_f = 20 * 1.8 + 32	bike_share_1
SELECT COUNT(T2.id) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T1.city = 'San Jose' AND T2.start_date LIKE '8/%/2013%' AND T2.start_station_name LIKE 'San Jose%' AND T2.end_station_name LIKE 'San Jose%'	bike_share_1
SELECT T1.start_station_name, T1.end_station_name FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.start_date LIKE '%/%/2014%' AND T1.start_station_name != T1.end_station_name	bike_share_1
SELECT T1.end_station_name, T2.city, CAST(SUM(T1.duration) AS REAL) / 3600 FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.bike_id = 16 AND T1.start_station_name != T1.end_station_name	bike_share_1
SELECT CAST(SUM(CASE WHEN T1.subscription_type = 'Customer' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T1.subscription_type = 'Subscriber' THEN 1 ELSE 0 END) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Mountain View'	bike_share_1
SELECT CAST(SUM(T1.duration) AS REAL) / 3600 FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Palo Alto'	bike_share_1
SELECT T2.bike_id, T2.start_station_name, T2.end_station_name, T1.city , CAST(T2.duration AS REAL) / 3600 FROM station AS T1 INNER JOIN trip AS T2 ON T1.name = T2.start_station_name GROUP BY T2.bike_id ORDER BY COUNT(T2.id) DESC LIMIT 1	bike_share_1
SELECT COUNT(CASE WHEN subscription_type = 'Subscriber' AND start_station_name = 'Market at 4th' THEN id END) FROM trip	bike_share_1
SELECT name FROM station WHERE installation_date = '12/31/2013' AND city = 'Mountain View'	bike_share_1
SELECT city, SUM(dock_count) FROM station WHERE name = 'Townsend at 7th'	bike_share_1
SELECT SUM(T2.dock_count), COUNT(T1.subscription_type) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.name = 'Evelyn Park and Ride' AND T1.start_station_name = T2.name AND T1.subscription_type = 'Subscriber'	bike_share_1
SELECT COUNT(T3.zip_code), T3.max_temperature_f FROM trip AS T2 INNER JOIN weather AS T3 ON T3.zip_code = T2.zip_code WHERE T3.zip_code = 94301 AND T2.subscription_type = 'Subscriber' ORDER BY T3.max_temperature_f DESC LIMIT 1	bike_share_1
SELECT CAST(SUM(CASE WHEN T1.subscription_type = 'Customer' THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T1.subscription_type = 'Subscriber' THEN 1 ELSE 0 END) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'San Francisco'	bike_share_1
SELECT AVG(T1.duration), T2.lat, T2.long FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name LEFT JOIN station AS T3 ON T3.name = T1.end_station_name WHERE T1.start_station_name = 'Santa Clara at Almaden'	bike_share_1
SELECT MIN(T1.duration), MAX(T2.max_wind_Speed_mph) FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_station_name = 'Franklin at Maple' AND T2.date = '9/4/2013'	bike_share_1
SELECT SUM(T2.bikes_available), T1.long, T1.lat FROM station AS T1 INNER JOIN status AS T2 ON T2.station_id = T1.id WHERE T2.time = '2013/10/20 8:11:01' AND T1.name = 'San Jose Diridon Caltrain Station'	bike_share_1
SELECT T2.city, T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.id = 585842	bike_share_1
SELECT COUNT(T1.name) , SUM(CASE WHEN T2.subscription_type = 'Customer' THEN 1 ELSE 0 END) FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name WHERE T1.installation_date = '8/16/2013' AND T2.subscription_type = 'Customer'	bike_share_1
SELECT T1.name, T1.lat, T1.long FROM station AS T1 INNER JOIN trip AS T2 ON T2.end_station_name = T1.name WHERE T2.start_station_name = 'Market at 4th' AND T2.end_date = '8/29/2013 12:45'	bike_share_1
SELECT COUNT(T1.id), T2.dock_count FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.end_station_name = 'MLK Library' AND T1.subscription_type = 'Subscriber' AND T2.dock_count = 19	bike_share_1
SELECT AVG(T3.min_temperature_f), T1.long, T1.lat FROM station AS T1 INNER JOIN trip AS T2 ON T2.start_station_name = T1.name INNER JOIN weather AS T3 ON T3.zip_code = T2.zip_code WHERE T3.zip_code = 94301	bike_share_1
SELECT AVG(T1.duration), T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.start_station_name = 'Mountain View City Hall' AND T1.subscription_type = 'Subscriber' AND T1.end_station_name = 'Mountain View City Hall'	bike_share_1
SELECT description FROM film WHERE title = 'ACADEMY DINOSAUR'	movie_3
SELECT COUNT(film_id) FROM film WHERE rental_duration > 6	movie_3
SELECT title FROM film WHERE release_year = 2006 AND rental_rate = 2.99	movie_3
SELECT title FROM film ORDER BY length DESC LIMIT 1	movie_3
SELECT title FROM film WHERE title IN ('ACE GOLDFINGER', 'ACADEMY DINOSAUR') ORDER BY replacement_cost DESC LIMIT 1	movie_3
SELECT COUNT(film_id) FROM film WHERE rating = 'NC-17' AND release_year = 2006	movie_3
SELECT COUNT(film_id) FROM film WHERE rental_rate = 2.99 AND special_features = 'Deleted Scenes'	movie_3
SELECT title FROM ( SELECT title, COUNT(special_features) AS num FROM film GROUP BY title ) AS T ORDER BY T.num > 2	movie_3
SELECT email FROM staff WHERE first_name = 'Jon' AND last_name = 'Stephens'	movie_3
SELECT first_name, last_name FROM staff WHERE active = 1	movie_3
SELECT DISTINCT release_year FROM film WHERE replacement_cost = ( SELECT MAX(replacement_cost) FROM film )	movie_3
SELECT title FROM film WHERE replacement_cost = ( SELECT MAX(replacement_cost) FROM film ) LIMIT 3	movie_3
SELECT T2.name FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'ACADEMY DINOSAUR'	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English'	movie_3
SELECT T2.title FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN actor AS T3 ON T1.actor_id = T3.actor_id WHERE T3.first_name = 'PENELOPE' AND T3.last_name = 'GUINESS'	movie_3
SELECT COUNT(T1.actor_id) FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id WHERE T2.title = 'ACADEMY DINOSAUR'	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'ACADEMY DINOSAUR'	movie_3
SELECT COUNT(T2.film_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.release_year = 2006 AND T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS' ORDER BY T3.replacement_cost DESC LIMIT 1	movie_3
SELECT first_name, last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id ORDER BY T3.replacement_cost DESC LIMIT 1	movie_3
SELECT COUNT(T3.film_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN language AS T4 ON T3.language_id = T4.language_id WHERE T4.name = 'English' AND T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS' ORDER BY T3.length DESC LIMIT 1	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror'	movie_3
SELECT COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id WHERE T2.name = 'Horror'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror' AND T1.rental_rate = 2.99	movie_3
SELECT COUNT(T2.rental_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ'	movie_3
SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ'	movie_3
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T4.release_year = 2006 AND T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ'	movie_3
SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ' ORDER BY T4.replacement_cost DESC LIMIT 1	movie_3
SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id ORDER BY T4.replacement_cost DESC LIMIT 1	movie_3
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ' AND STRFTIME('%m',T2.return_date) = '8' AND STRFTIME('%Y', T2.return_date) = '2005'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T2.rental_id) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.active = 1 AND T4.title = 'ACADEMY DINOSAUR'	movie_3
SELECT T.title FROM ( SELECT T1.title, COUNT(T3.rental_id) AS num FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id GROUP BY T1.title ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T1.customer_id) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE (T1.first_name = 'RUTH' AND T1.last_name = 'MARTINEZ') OR (T1.first_name = 'LINDA' AND T1.last_name = 'WILLIAMS') GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS' ORDER BY T3.rental_rate / T3.rental_duration DESC LIMIT 1	movie_3
SELECT AVG(T3.replacement_cost) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.name = 'Horror'	movie_3
SELECT CAST(SUM(IIF(T3.name = 'Music', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id INNER JOIN inventory AS T4 ON T1.film_id = T4.film_id INNER JOIN customer AS T5 ON T4.store_id = T5.store_id INNER JOIN rental AS T6 ON T4.inventory_id = T6.inventory_id WHERE T5.first_name = 'RUTH' AND T5.last_name = 'MARTINEZ'	movie_3
SELECT AVG(T3.length) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'PENELOPE' AND T1.last_name = 'GUINESS'	movie_3
SELECT email FROM customer WHERE first_name = 'DIANE' AND last_name = 'COLLINS'	movie_3
SELECT COUNT(customer_id) FROM customer WHERE active = 0	movie_3
SELECT first_name, last_name FROM customer WHERE email = 'JEREMY.HURTADO@sakilacustomer.org'	movie_3
SELECT postal_code FROM address WHERE address_id = 65	movie_3
SELECT COUNT(address_id) FROM address WHERE district = 'Nordrhein-Westfalen'	movie_3
SELECT phone FROM address WHERE address_id = '72'	movie_3
SELECT COUNT(film_id) FROM film WHERE length = '178'	movie_3
SELECT special_features FROM film WHERE title = 'UPRISING UPTOWN'	movie_3
SELECT description FROM film WHERE title = 'ARTIST COLDBLOODED'	movie_3
SELECT T1.address, T1.address2, T1.district FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id WHERE T2.store_id = 2	movie_3
SELECT T1.country FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id WHERE T2.city = 'Clarksville'	movie_3
SELECT COUNT(T1.actor_id) FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id WHERE T2.release_year = 2006 AND T2.rental_duration = 7 AND T2.rental_duration = 4.99 AND T2.length = 98	movie_3
SELECT T3.rating FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'DAN' AND T1.last_name = 'HARRIS' AND T3.length = 77 AND T3.replacement_cost = '9.99'	movie_3
SELECT COUNT(T1.film_id) FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id WHERE T2.first_name = 'DARYL' AND T2.last_name = 'WAHLBERG'	movie_3
SELECT T2.return_date FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'SHERRI' AND T1.last_name = 'RHODES' AND T2.rental_date = '2005-07-28 12:27:27'	movie_3
SELECT T1.first_name, T1.last_name FROM staff AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id WHERE T2.store_id = 1	movie_3
SELECT T1.address, T1.address2, T1.district FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id WHERE T2.store_id = 1	movie_3
SELECT T1.address, T1.address2 FROM address AS T1 INNER JOIN staff AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = 'Jon' AND T2.last_name = 'Stephens'	movie_3
SELECT COUNT(T1.address_id) FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T2.city = 'Woodridge'	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English'	movie_3
SELECT T1.address FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = 'HEATHER' AND T2.last_name = 'MORRIS'	movie_3
SELECT T2.email FROM address AS T1 INNER JOIN staff AS T2 ON T1.address_id = T2.address_id WHERE T1.address = '1411 Lillydale Drive'	movie_3
SELECT T1.amount FROM payment AS T1 INNER JOIN rental AS T2 ON T1.rental_id = T2.rental_id WHERE T2.rental_date = '2005-07-28 12:27:27' AND T2.customer_id = 297	movie_3
SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.title = 'WORKING MICROCOSMOS'	movie_3
SELECT COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id WHERE T2.name = 'Documentary'	movie_3
SELECT T.name FROM ( SELECT T2.name, COUNT(T1.film_id) AS num FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T2.name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.inventory_id = 3479	movie_3
SELECT CAST((SUM(IIF(T2.store_id = 2, T1.amount, 0)) - SUM(IIF(T2.store_id = 1, T1.amount, 0))) AS REAL) * 100 / SUM(IIF(T2.store_id = 1, T1.amount, 0)) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN store AS T3 ON T2.store_id = T3.store_id	movie_3
SELECT CAST(SUM(IIF(T1.country = 'India', 1, 0)) AS REAL) / SUM(IIF(T1.country = 'Italy', 1, 0)) FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id	movie_3
SELECT CAST(SUM(IIF(T2.first_name = 'GINA' AND T2.last_name = 'DEGENERES', 1, 0)) AS REAL) * 100 / SUM(IIF(T2.first_name = 'PENELOPE' AND T2.last_name = 'GUINESS', 1, 0)) FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id	movie_3
SELECT COUNT(film_id) FROM film WHERE rating = 'R' AND release_year = 2006	movie_3
SELECT COUNT(actor_id) FROM film_actor WHERE film_id = 508	movie_3
SELECT special_features FROM film WHERE title = 'SMOOCHY CONTROL'	movie_3
SELECT COUNT(customer_id) FROM payment WHERE SUBSTR(payment_date, 1, 7) LIKE '2005-08'	movie_3
SELECT title FROM film WHERE length > 180	movie_3
SELECT SUM(amount) FROM payment WHERE rental_id BETWEEN 1 AND 10	movie_3
SELECT first_name, last_name FROM staff WHERE active = 1	movie_3
SELECT manager_staff_id FROM store WHERE store_id = 2	movie_3
SELECT COUNT(rental_id) FROM rental WHERE rental_date = '2005-05-27'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Laura' AND T1.last_name = 'Brody'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.store_id = 2	movie_3
SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN ( SELECT customer_id, COUNT(*) AS num_days FROM ( SELECT *, date(days, '-' || rn || ' day') AS results FROM ( SELECT customer_id, days, row_number() OVER (PARTITION BY customer_id ORDER BY days) AS rn FROM ( SELECT DISTINCT customer_id, date(rental_date) AS days FROM rental ) ) ) GROUP BY customer_id, results HAVING num_days = 7 ) AS T2 ON T1.customer_id = T2.customer_id	movie_3
SELECT COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id WHERE T2.name = 'Horror'	movie_3
SELECT T.title FROM ( SELECT T1.title, COUNT(T3.rental_id) AS num FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id GROUP BY T1.title ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T1.special_features FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'sci-fi' ORDER BY T1.special_features DESC LIMIT 1	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, COUNT(T1.film_id) AS num FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.rental_duration = 7 AND T3.name = 'Comedy'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T3.first_name, T3.last_name, COUNT(T1.customer_id) AS num FROM customer AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN staff AS T3 ON T2.store_id = T3.store_id WHERE T1.active = 0 GROUP BY T3.first_name, T3.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T1.rental_rate FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Children' ORDER BY T1.rental_rate / T1.rental_duration DESC LIMIT 1	movie_3
SELECT T3.address, T3.address2, T3.district FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id INNER JOIN store AS T4 ON T3.address_id = T4.address_id WHERE T4.store_id = 1	movie_3
SELECT COUNT(T3.customer_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Lethbridge'	movie_3
SELECT COUNT(T2.city) FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id WHERE T1.country = 'United States'	movie_3
SELECT T4.first_name, T4.last_name FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id INNER JOIN customer AS T4 ON T3.address_id = T4.address_id WHERE T1.country = 'India'	movie_3
SELECT COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T3.rental_rate < 1 AND T2.name = 'Classics'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, COUNT(T1.rental_id) AS num FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT COUNT(T3.rental_id) FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id WHERE T1.title = 'Blanket Beverly'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T2.film_id) AS num FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rating = 'R' GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T.first_name, T.last_name, num FROM ( SELECT T1.first_name, T1.last_name, COUNT(T2.film_id) AS num FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 5	movie_3
SELECT actor_id FROM actor WHERE last_name = 'KILMER'	movie_3
SELECT title FROM film WHERE replacement_cost = ( SELECT MIN(replacement_cost) FROM film )	movie_3
SELECT title, description, special_features FROM film WHERE length = ( SELECT MAX(length) FROM film ) LIMIT 5	movie_3
SELECT COUNT(DISTINCT rental_id) FROM rental WHERE date(rental_date) BETWEEN '2005-05-26' AND '2005-05-30'	movie_3
SELECT AVG(amount) FROM payment GROUP BY customer_id	movie_3
SELECT first_name, last_name, email FROM staff WHERE store_id = 2	movie_3
SELECT CAST(SUM(IIF(active = 0, 1, 0)) AS REAL) * 100 / COUNT(customer_id) FROM customer	movie_3
SELECT description, title FROM film_text WHERE film_id = 996	movie_3
SELECT SUM(amount) FROM payment WHERE SUBSTR(payment_date, 1, 7) = '2005-08'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Emily' AND T1.last_name = 'Dee'	movie_3
SELECT T3.first_name, T3.last_name FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN actor AS T3 ON T1.actor_id = T3.actor_id WHERE T2.title = 'CHOCOLATE DUCK'	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror' AND T1.rating = 'PG-13'	movie_3
SELECT T5.name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN film_category AS T4 ON T2.film_id = T4.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id WHERE T1.first_name = 'Judy' AND T1.last_name = 'Dean'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Documentary' LIMIT 5	movie_3
SELECT T2.name, T1.replacement_cost / T1.rental_duration AS cost FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'UNTOUCHABLES SUNRISE'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id WHERE SUBSTR(T3.rental_date, 1, 10) = '2005-05-24'	movie_3
SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'BRIAN' AND T1.last_name = 'WYMAN' AND STRFTIME('%Y', T2.rental_date) = '2005' AND STRFTIME('%m',T2.rental_date) = '7'	movie_3
SELECT T4.inventory_id, T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T2.film_id = T4.film_id WHERE T3.title = 'STREETCAR INTENTIONS'	movie_3
SELECT T3.title, T2.name FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id INNER JOIN customer AS T5 ON T4.store_id = T5.store_id INNER JOIN rental AS T6 ON T4.inventory_id = T6.inventory_id WHERE T5.first_name = 'Natalie' AND T5.last_name = 'Meyer' AND STRFTIME('%Y',T3.rental_rate) = '2006' AND STRFTIME('%m',T3.rental_rate) = '2'	movie_3
SELECT COUNT(T1.rental_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'Eleanor' AND T2.last_name = 'Hunt'	movie_3
SELECT T4.first_name, T4.last_name, T6.city FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN customer AS T4 ON T3.customer_id = T4.customer_id INNER JOIN address AS T5 ON T4.address_id = T5.address_id INNER JOIN city AS T6 ON T5.city_id = T6.city_id WHERE T1.title = 'DREAM PICKUP'	movie_3
SELECT CAST(SUM(IIF(T1.country = 'India', 1, 0)) AS REAL) * 100 / COUNT(T4.customer_id) FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id INNER JOIN customer AS T4 ON T3.address_id = T4.address_id	movie_3
SELECT CAST((SUM(IIF(T1.first_name = 'ANGELA' AND T1.last_name = 'WITHERSPOON', 1, 0)) - SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0))) AS REAL) * 100 / SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0)) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id	movie_3
SELECT T1.email, T2.address, T3.city, T4.country FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id WHERE T1.first_name = 'Lillie' AND T1.last_name = 'Kim'	movie_3
SELECT T3.first_name, T3.last_name FROM staff AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.first_name = 'Mike' AND T1.last_name = 'Hillyer' LIMIT 5	movie_3
SELECT SUM(T2.amount) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'Diane' AND T1.last_name = 'Collins'	movie_3
SELECT DISTINCT T2.first_name, T2.last_name, T2.email FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T2.address_id = T3.address_id WHERE T1.amount > ( SELECT AVG(amount) FROM payment ) * 0.7	movie_3
SELECT COUNT(film_id) FROM film WHERE rental_rate = 0.99	movie_3
SELECT COUNT(customer_id) FROM customer WHERE last_name = 'Thomas' AND customer_id < 100	movie_3
SELECT T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.description = 'A Thoughtful Drama of a Composer And a Feminist who must Meet a Secret Agent in The Canadian Rockies'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Liza' AND T1.last_name = 'Bergman' ORDER BY replacement_cost DESC LIMIT 1	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.store_id = 2 ORDER BY rental_rate DESC LIMIT 1	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Angelina' AND T1.last_name = 'Astaire' AND T3.replacement_cost = 27.99	movie_3
SELECT T2.inventory_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T1.title = 'African Egg'	movie_3
SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.length = 113 AND T1.first_name = 'Kirk' AND T1.last_name = 'Jovovich'	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.inventory_id BETWEEN 20 AND 60 AND T1.rating = 'G'	movie_3
SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rental_rate = 4.99 AND T1.first_name = 'Bob' AND T1.last_name = 'Fawcett'	movie_3
SELECT T4.inventory_id FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T3.length BETWEEN 110 AND 150 AND T1.first_name = 'Russell' AND T1.last_name = 'Close'	movie_3
SELECT T2.store_id, T2.inventory_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id ORDER BY T1.length DESC LIMIT 1	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.length BETWEEN 110 AND 150 AND T1.first_name = 'Russell' AND T1.last_name = 'Close'	movie_3
SELECT T4.inventory_id FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'Lucille' AND T1.last_name = 'Dee' AND T3.rental_rate = 4.99	movie_3
SELECT T2.store_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T1.rental_rate > ( SELECT AVG(T1.rental_rate) * 0.6 FROM film AS T1 )	movie_3
SELECT CAST(SUM(IIF(T3.rating = 'G', 1, 0)) AS REAL) / COUNT(T3.film_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Elvis' AND T1.last_name = 'Marx'	movie_3
SELECT address FROM address WHERE district = 'Texas' AND city_id = ( SELECT MIN(city_id) FROM address WHERE district = 'Texas' )	movie_3
SELECT first_name, last_name, email FROM customer WHERE STRFTIME('%Y',create_date) = '2006' AND active = 0	movie_3
SELECT CAST(SUM(IIF(rating = 'PG-13', 1, 0)) AS REAL) * 100 / COUNT(film_id) FROM film	movie_3
SELECT title FROM film ORDER BY rental_rate / rental_duration DESC LIMIT 10	movie_3
SELECT AVG(amount) FROM payment WHERE customer_id = 15	movie_3
SELECT COUNT(customer_id) FROM rental WHERE return_date - rental_date > ( SELECT AVG(return_date - rental_date) FROM rental )	movie_3
SELECT CAST(SUM(IIF(T2.name = 'horror', 1, 0)) AS REAL) * 100 / COUNT(T2.category_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, COUNT(T1.film_id) AS num FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T2.film_id) AS num FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film_category AS T3 ON T2.film_id = T3.film_id WHERE T3.category_id = 7 GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT AVG(IIF(T4.country = 'Australia', 1, 0)) - AVG(IIF(T4.country = 'Canada', 1, 0)) AS diff FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id	movie_3
SELECT CAST(SUM(IIF(T4.name = 'Action', 1, 0)) AS REAL) * 100 / COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film_category AS T3 ON T2.film_id = T3.film_id INNER JOIN category AS T4 ON T3.category_id = T4.category_id WHERE T1.first_name = 'Reese' AND T1.last_name = 'Kilmer'	movie_3
SELECT SUM(T1.amount) FROM payment AS T1 INNER JOIN rental AS T2 ON T1.rental_id = T2.rental_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T4.title = 'CLOCKWORK PARADICE'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, COUNT(T1.customer_id) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id INNER JOIN film_category AS T5 ON T4.film_id = T5.film_id GROUP BY T1.first_name, T1.last_name ) AS T WHERE T.num > 5	movie_3
SELECT AVG(T1.actor_id) FROM film_actor AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id INNER JOIN actor AS T4 ON T4.actor_id = T1.actor_id WHERE T3.name = 'comedy'	movie_3
SELECT T.title FROM ( SELECT T4.title, COUNT(T4.title) AS num FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id INNER JOIN film_category AS T5 ON T4.film_id = T5.film_id INNER JOIN category AS T6 ON T5.category_id = T6.category_id WHERE T6.name = 'Children' GROUP BY T4.title ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT CAST(( SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T2.amount > ( SELECT AVG(amount) FROM payment ) ) AS REAL) * 100 / ( SELECT COUNT(customer_id) FROM customer )	movie_3
SELECT DISTINCT IIF(SUM(IIF(T5.name = 'Family', 1, 0)) - SUM(IIF(T5.name = 'Sci-Fi', 1, 0)) > 0, T1.first_name, 0) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film_category AS T4 ON T4.film_id = T3.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id GROUP BY T1.customer_id	movie_3
SELECT title FROM film WHERE rating = 'NC-17'	movie_3
SELECT COUNT(actor_id) FROM actor WHERE last_name = 'Kilmer'	movie_3
SELECT COUNT(film_id) FROM film WHERE length > 100	movie_3
SELECT SUM(amount) FROM payment WHERE payment_date LIKE '2005-08%'	movie_3
SELECT T1.country FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id WHERE T3.address = '1386 Nakhon Sawan Boulevard'	movie_3
SELECT T.language_id FROM ( SELECT T1.language_id, COUNT(T1.language_id) AS num FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE STRFTIME('%Y',T1.release_year) = '2006' GROUP BY T1.language_id ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T2.title FROM film_category AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id WHERE T3.name = 'Classics'	movie_3
SELECT COUNT(T1.rental_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'ELLA' AND T2.last_name = 'ELLA' AND date(T1.rental_date) BETWEEN '2005-06-01' AND '2005-06-30'	movie_3
SELECT COUNT(T1.customer_id) FROM rental AS T1 INNER JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Jon' AND T2.last_name = 'Stephens'	movie_3
SELECT SUM(T2.amount) FROM rental AS T1 INNER JOIN payment AS T2 ON T1.rental_id = T2.rental_id WHERE date(T1.rental_date) = '2005-07-29%'	movie_3
SELECT T1.first_name FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE SUBSTR(T2.postal_code, 1, 2) = '76'	movie_3
SELECT T1.rental_date FROM rental AS T1 INNER JOIN inventory AS T2 ON T1.inventory_id = T2.inventory_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'BLOOD ARGONAUTS'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Cuba' AND T1.last_name = 'Allen'	movie_3
SELECT COUNT(T1.actor_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN film_category AS T4 ON T3.film_id = T4.film_id INNER JOIN category AS T5 ON T4.category_id = T5.category_id WHERE T5.name = 'Music'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T4.first_name, T4.last_name, COUNT(T2.actor_id) AS num FROM film_category AS T1 INNER JOIN film_actor AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id INNER JOIN actor AS T4 ON T2.actor_id = T4.actor_id WHERE T3.name = 'Comedy' GROUP BY T4.first_name, T4.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN staff AS T3 ON T2.manager_staff_id = T3.staff_id WHERE T3.first_name != 'Mike'	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rating = 'PG-13' ORDER BY T3.replacement_cost DESC LIMIT 1	movie_3
SELECT T.first_name FROM ( SELECT T2.first_name, COUNT(T1.rental_date) AS num FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.first_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT COUNT(T3.customer_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Miyakonojo'	movie_3
SELECT COUNT(T2.customer_id) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.active = 0	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id ORDER BY T1.length LIMIT 1	movie_3
SELECT T5.country FROM customer AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN address AS T3 ON T2.address_id = T3.address_id INNER JOIN city AS T4 ON T3.city_id = T4.city_id INNER JOIN country AS T5 ON T4.country_id = T5.country_id WHERE T1.first_name = 'HECTOR' AND T1.last_name = 'POINDEXTER'	movie_3
SELECT AVG(T5.amount) FROM category AS T1 INNER JOIN film_category AS T2 ON T1.category_id = T2.category_id INNER JOIN inventory AS T3 ON T2.film_id = T3.film_id INNER JOIN rental AS T4 ON T3.inventory_id = T4.inventory_id INNER JOIN payment AS T5 ON T4.rental_id = T5.rental_id WHERE T1.name = 'Horror'	movie_3
SELECT AVG(T2.amount) FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'CHRISTY' AND T1.Last_name = 'VARGAS'	movie_3
SELECT CAST(SUM(IIF(T2.length < 100 AND T3.name = 'Drama', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id	movie_3
SELECT first_name, last_name FROM actor WHERE first_name = 'Johnny'	movie_3
SELECT address_id FROM address WHERE district = 'Gansu'	movie_3
SELECT DISTINCT name, category_id, last_update FROM category LIMIT 3	movie_3
SELECT first_name, last_name FROM customer WHERE active = 0 LIMIT 3	movie_3
SELECT rental_rate / rental_duration AS result FROM film WHERE title = 'AIRPLANE SIERRA'	movie_3
SELECT T1.address, T1.address2, T1.district FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id WHERE T2.store_id = 2	movie_3
SELECT T1.city FROM city AS T1 INNER JOIN address AS T2 ON T2.city_id = T1.city_id WHERE T2.address = '1623 Kingstown Drive'	movie_3
SELECT T2.city FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id WHERE T1.country = 'Algeria'	movie_3
SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.title = 'AGENT TRUMAN'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Action' LIMIT 3	movie_3
SELECT SUM(IIF(T2.name = 'Children', 1, 0)) - SUM(IIF(T2.name = 'Action', 1, 0)) AS diff FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id	movie_3
SELECT T2.district FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.first_name = 'Maria' AND T1.last_name = 'Miller'	movie_3
SELECT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T2.address = '1795 Santiago de Compostela Way' AND T1.active = 1	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English' AND T1.length > 50 AND T1.replacement_cost < 10.99	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'ACADEMY DINOSAUR'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Penelope' AND T1.last_name = 'Guiness' LIMIT 2	movie_3
SELECT CAST(SUM(IIF(T2.name = 'Documentary', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English' AND T1.rating = 'NC-17'	movie_3
SELECT title FROM film WHERE length = ( SELECT MAX(length) FROM film )	movie_3
SELECT COUNT(actor_id) FROM actor WHERE first_name = 'Dan'	movie_3
SELECT first_name FROM customer GROUP BY first_name ORDER BY COUNT(first_name) DESC LIMIT 1	movie_3
SELECT rating FROM film WHERE special_features LIKE '%Behind the Scenes%'	movie_3
SELECT COUNT(rental_id) FROM rental GROUP BY customer_id ORDER BY COUNT(rental_id) DESC LIMIT 1	movie_3
SELECT title FROM film_text WHERE description LIKE '%Lacklusture%'	movie_3
SELECT COUNT(T1.customer_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'FRANCIS' AND T1.last_name = 'SIKES'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T3.first_name, T3.last_name, COUNT(T1.film_id) AS num FROM inventory AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN staff AS T3 ON T2.manager_staff_id = T3.staff_id GROUP BY T3.first_name, T3.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T2.address FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.active = 0	movie_3
SELECT T.name FROM ( SELECT T2.name, COUNT(T2.name) AS num FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id GROUP BY T2.name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'JASON TRAP'	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, SUM(T2.amount) AS num FROM customer AS T1 INNER JOIN payment AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.first_name, T1.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T.title FROM ( SELECT T3.title, COUNT(T2.inventory_id) AS num FROM rental AS T1 INNER JOIN inventory AS T2 ON T1.inventory_id = T2.inventory_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id GROUP BY T3.title ) AS T ORDER BY T.num DESC LIMIT 5	movie_3
SELECT T1.country FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id WHERE T2.city = 'Sasebo'	movie_3
SELECT T2.address FROM store AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id	movie_3
SELECT T3.title AS per FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.name = 'Animation'	movie_3
SELECT T.city FROM ( SELECT T1.city, COUNT(T3.customer_id) AS num FROM city AS T1 INNER JOIN address AS T2 ON T2.city_id = T1.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id GROUP BY T1.city ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T.first_name, T.last_name FROM ( SELECT T2.first_name, T2.last_name, SUM(T1.film_id) AS num FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.first_name, T2.last_name ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT CAST(SUM(IIF(T2.name = 'Horror', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN category AS T2 ON T1.category_id = T2.category_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id	movie_3
SELECT first_name, last_name FROM actor WHERE actor_id = 5	movie_3
SELECT COUNT(film_id) FROM film_category WHERE category_id = 11	movie_3
SELECT T3.`name` FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T1.title = 'BABY HALL'	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T3.film_id = T2.film_id ORDER BY T3.rental_rate DESC LIMIT 1	movie_3
SELECT T3.description FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T3.film_id = T2.film_id WHERE T1.first_name = 'JOHNNY' AND T1.last_name = 'DAVIS'	movie_3
SELECT T2.first_name, T2.last_name FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T1.amount > 10	movie_3
SELECT T1.address FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = 'SUSAN' AND T1.postal_code = 77948	movie_3
SELECT COUNT(T1.city_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Abu Dhabi'	movie_3
SELECT T2.first_name, T2.last_name FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id WHERE T1.address = '692 Joliet Street'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T3.`name` = 'action' AND T1.length > 120	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T3.film_id = T2.film_id WHERE T3.title = 'ANONYMOUS HUMAN'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.`name` = 'Horror' ORDER BY T1.rental_rate LIMIT 1	movie_3
SELECT T1.description FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.`name` = 'Travel'	movie_3
SELECT SUM(T1.amount) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN address AS T3 ON T3.address_id = T2.address_id WHERE T3.district = 'Nagasaki'	movie_3
SELECT CAST(SUM(IIF(T2.first_name = 'MARGARET' AND T2.last_name = 'MOORE', T1.amount, 0)) AS REAL) * 100 / SUM(T1.amount) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id	movie_3
SELECT CAST(SUM(IIF(T3.`name` = 'Horror', 1, 0)) * 100 / COUNT(T1.film_id) AS REAL) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T1.length > 120	movie_3
SELECT COUNT(film_id) FROM film WHERE release_year = 2006	movie_3
SELECT title FROM film WHERE film_id BETWEEN 1 AND 10	movie_3
SELECT film_id FROM film WHERE rental_duration = ( SELECT MAX(rental_duration) FROM film )	movie_3
SELECT title FROM film WHERE rental_rate = ( SELECT MAX(rental_rate) FROM film )	movie_3
SELECT title FROM film WHERE rating = 'G'	movie_3
SELECT T2.`name` FROM film AS T1 INNER JOIN `language` AS T2 ON T1.language_id = T2.language_id WHERE T1.title = 'CHILL LUCK'	movie_3
SELECT DISTINCT T1.last_update FROM film AS T1 INNER JOIN `language` AS T2 ON T1.language_id = T2.language_id WHERE T2.`name` = 'English' AND T1.release_year = 2006	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN `language` AS T2 ON T1.language_id = T2.language_id WHERE T2.`name` = 'Italian' AND T1.special_features = 'deleted scenes'	movie_3
SELECT COUNT(T1.title) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'animation' AND T1.rating = 'NC-17'	movie_3
SELECT T1.description FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'action'	movie_3
SELECT T1.film_id FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T3.name = 'comedy'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T3.name = 'documentary' ORDER BY T1.length DESC LIMIT 1	movie_3
SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T1.title = 'BLADE POLISH'	movie_3
SELECT T2.rental_id FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'MARY' AND T1.last_name = 'SMITH'	movie_3
SELECT DISTINCT T1.first_name, T1.last_name FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T2.staff_id = 1	movie_3
SELECT DISTINCT T1.email FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T2.staff_id = 2	movie_3
SELECT T2.actor_id FROM film AS T1 INNER JOIN film_actor AS T2 ON T1.film_id = T2.film_id WHERE T1.title = 'BOUND CHEAPER'	movie_3
SELECT T2.inventory_id FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'KAREN' AND T1.last_name = 'JACKSON'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_actor AS T2 ON T1.film_id = T2.film_id INNER JOIN actor AS T3 ON T2.actor_id = T3.actor_id WHERE T3.first_name = 'JANE' AND T3.last_name = 'JACKMAN'	movie_3
SELECT T3.first_name, T3.last_name FROM film AS T1 INNER JOIN film_actor AS T2 ON T1.film_id = T2.film_id INNER JOIN actor AS T3 ON T2.actor_id = T3.actor_id WHERE T1.title = 'BIRD INDEPENDENCE'	movie_3
SELECT SUM(T1.rental_rate) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.`name` = 'Animation'	movie_3
SELECT AVG(T1.rental_rate) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T3.category_id = T2.category_id WHERE T3.`name` = 'Sci-Fi'	movie_3
SELECT CAST(SUM(IIF(T3.name = 'Horror', 1, 0)) AS REAL) * 100 / COUNT(T1.film_id) FROM film_category AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T1.category_id = T3.category_id INNER JOIN language AS T4 ON T2.language_id = T4.language_id WHERE T4.name = 'English'	movie_3
SELECT COUNT(film_id) FROM film WHERE rating = 'NC-17' AND rental_duration < 4	movie_3
SELECT title FROM film WHERE replacement_cost = 29.99 AND rating = 'R' AND length = 71	movie_3
SELECT T2.email FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T1.rental_date BETWEEN '2005-5-25 07:37:47' AND '2005-5-26 10:06:49' AND T2.active = 1	movie_3
SELECT SUM(T3.amount) FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id INNER JOIN payment AS T3 ON T1.rental_id = T3.rental_id WHERE T2.first_name = 'SARAH' AND T2.last_name = 'LEWIS'	movie_3
SELECT COUNT(T1.customer_id) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T1.payment_date BETWEEN '2005-05-30 03:43:54' AND '2005-07-31 10:08:29'	movie_3
SELECT T2.first_name, T2.last_name FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T3.title = 'ALABAMA DEVIL'	movie_3
SELECT T3.title FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.first_name = 'SANDRA' AND T2.last_name = 'KILMER'	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Documentary' AND T1.rating = 'PG-13'	movie_3
SELECT T1.title, T3.name, T1.special_features FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.rental_duration * T1.rental_rate > 30	movie_3
SELECT T2.first_name, T2.last_name FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T3.title = 'AFRICAN EGG'	movie_3
SELECT COUNT(T2.rental_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'Maria' AND T1.last_name = 'Miller'	movie_3
SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'DOROTHY' AND T1.last_name = 'TAYLOR' ORDER BY T2.rental_date DESC LIMIT 1	movie_3
SELECT COUNT(T2.film_id) FROM category AS T1 INNER JOIN film_category AS T2 ON T1.category_id = T2.category_id WHERE T1.name = 'Action'	movie_3
SELECT T2.store_id, T1.address, T4.rental_rate FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id INNER JOIN inventory AS T3 ON T2.store_id = T3.store_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T4.title = 'WYOMING STORM'	movie_3
SELECT T2.rental_date - T2.return_date FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'AUSTIN' AND T4.title = 'DESTINY SATURDAY'	movie_3
SELECT COUNT(T1.film_id) FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id AND T2.first_name = 'NICK' AND T2.last_name = 'STALLONE'	movie_3
SELECT title FROM film WHERE length = ( SELECT MIN(length) FROM film ) ORDER BY rental_duration * rental_rate DESC LIMIT 1	movie_3
SELECT SUM(T1.amount) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'STEPHANIE' AND T2.last_name = 'MITCHELL' AND SUBSTR(T1.payment_date, 1, 7) = '2005-06'	movie_3
SELECT AVG(replacement_cost) FROM film WHERE rental_rate = 4.99	movie_3
SELECT AVG(rental_rate) FROM film WHERE rating = 'PG-13'	movie_3
SELECT CAST(SUM(CASE WHEN active = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(customer_id) FROM customer WHERE store_id = 1	movie_3
SELECT rental_duration FROM film WHERE title = 'DIRTY ACE'	movie_3
SELECT first_name, last_name FROM customer WHERE email = 'SHEILA.WELLS@sakilacustomer.org'	movie_3
SELECT title FROM film WHERE length = ( SELECT MAX(length) FROM film )	movie_3
SELECT COUNT(DISTINCT category_id) FROM category	movie_3
SELECT COUNT(T2.rental_id) , CAST(SUM(IIF(STRFTIME('%m',T2.rental_date) = '7', 1, 0)) AS REAL) * 100 / COUNT(T2.rental_id) FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id WHERE T1.first_name = 'Maria' AND T1.last_name = 'Miller' AND STRFTIME('%Y',T2.rental_date) = '2005'	movie_3
SELECT COUNT(customer_id) FROM customer WHERE active = 1	movie_3
SELECT title FROM film WHERE rating = 'PG-13'	movie_3
SELECT T.title FROM ( SELECT T1.title, COUNT(T3.customer_id) AS num FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id WHERE T1.rental_duration > 5 GROUP BY T1.title ) AS T WHERE T.num > 10	movie_3
SELECT T1.city FROM city AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE country = 'United Arab Emirates'	movie_3
SELECT T2.first_name, T2.last_name FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T1.amount > 10	movie_3
SELECT T3.title FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.first_name = 'BURT' AND T2.last_name = 'DUKAKIS'	movie_3
SELECT T2.first_name, T2.last_name FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T3.title = 'ENDING CROWDS'	movie_3
SELECT T1.first_name, T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.title = 'BOUND CHEAPER'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'KARL' AND T1.last_name = 'BERRY' AND T3.rating = 'PG'	movie_3
SELECT T1.city FROM city AS T1 INNER JOIN country AS T2 ON T2.country_id = T1.country_id WHERE country = 'Philippines'	movie_3
SELECT T.title FROM ( SELECT T3.title, COUNT(T1.customer_id) AS num FROM rental AS T1 INNER JOIN inventory AS T2 ON T1.inventory_id = T2.inventory_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id GROUP BY T3.title ) AS T ORDER BY T.num DESC LIMIT 1	movie_3
SELECT T1.film_id FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id WHERE T2.first_name = 'LUCILLE' AND T2.last_name = 'TRACY'	movie_3
SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.title = 'BEACH HEARTBREAKERS'	movie_3
SELECT T1.title FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T3.name = 'Horror'	movie_3
SELECT T1.last_name FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T3.rating = 'NC-17'	movie_3
SELECT AVG(T3.rental_rate) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'LUCILLE' AND T1.last_name = 'TRACY'	movie_3
SELECT COUNT(film_id) FROM film WHERE length BETWEEN 100 AND 110	movie_3
SELECT actor_id FROM actor WHERE last_name = 'Dee'	movie_3
SELECT COUNT(customer_id) FROM customer WHERE first_name = 'Nina' AND active = 1	movie_3
SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.store_id = 2 AND T1.rating = 'R'	movie_3
SELECT T4.store_id FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T3.length < 100 AND T1.first_name = 'Reese' AND T1.last_name = 'West'	movie_3
SELECT T3.title FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Nick' AND T1.last_name = 'Wahlberg' ORDER BY T3.rental_rate DESC LIMIT 1	movie_3
SELECT T3.title FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.first_name = 'Russell' AND T2.last_name = 'Close'	movie_3
SELECT T2.store_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T1.title = 'Amadeus Holy'	movie_3
SELECT COUNT(T1.film_id) FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T3.rental_rate = 2.99 AND T2.first_name = 'Nina' AND T2.last_name = 'Soto'	movie_3
SELECT SUM(IIF(T4.film_id = 1, 1, 0)) - SUM(IIF(T4.film_id = 2, 1, 0)) AS diff FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id INNER JOIN inventory AS T4 ON T3.film_id = T4.film_id WHERE T2.first_name = 'Reese' AND T2.last_name = 'West'	movie_3
SELECT postal_code FROM address WHERE address = '692 Joliet Street'	movie_3
SELECT COUNT(customer_id) FROM customer WHERE active = 1	movie_3
SELECT COUNT(customer_id) FROM customer WHERE active = 1 AND store_id = 1	movie_3
SELECT T1.address FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH'	movie_3
SELECT COUNT(T2.customer_id) FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T1.city_id = T3.city_id WHERE T2.active = 1 AND T3.city = 'Arlington'	movie_3
SELECT T4.first_name, T4.last_name FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN country AS T3 ON T2.country_id = T3.country_id INNER JOIN customer AS T4 ON T1.address_id = T4.address_id WHERE T3.country = 'Italy'	movie_3
SELECT T3.country FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN country AS T3 ON T2.country_id = T3.country_id INNER JOIN customer AS T4 ON T1.address_id = T4.address_id WHERE T4.first_name = 'MARY' AND T4.last_name = 'SMITH'	movie_3
SELECT T1.amount FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH' ORDER BY T1.amount DESC LIMIT 1	movie_3
SELECT COUNT(T1.customer_id) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH'	movie_3
SELECT SUM(T1.amount) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH'	movie_3
SELECT COUNT(T1.customer_id) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH' AND STRFTIME('%Y',T1.payment_date) = '2005' AND STRFTIME('%Y', T1.payment_date) = '6'	movie_3
SELECT T2.first_name, T2.last_name FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id ORDER BY T1.amount DESC LIMIT 1	movie_3
SELECT SUM(T5.amount) FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN country AS T3 ON T2.country_id = T3.country_id INNER JOIN customer AS T4 ON T1.address_id = T4.address_id INNER JOIN payment AS T5 ON T4.customer_id = T5.customer_id WHERE T3.country = 'Italy'	movie_3
SELECT COUNT(T1.amount) FROM payment AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = 'MARY' AND T2.last_name = 'SMITH' AND T1.amount > 4.99	movie_3
SELECT AVG(T5.amount) FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN country AS T3 ON T2.country_id = T3.country_id INNER JOIN customer AS T4 ON T1.address_id = T4.address_id INNER JOIN payment AS T5 ON T4.customer_id = T5.customer_id WHERE T3.country = 'Italy'	movie_3