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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'ProdTaken', 'CustomerID', 'Unnamed: 0'})
This happened while the csv dataset builder was generating data using
hf://datasets/Vaddiritz/Tourism-Package-Prediction-rithika_new/tourism.csv (at revision 0fbc6a496909992c64e4927d1fa7d7a7df72129a)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Unnamed: 0: int64
CustomerID: int64
ProdTaken: int64
Age: double
TypeofContact: string
CityTier: int64
DurationOfPitch: double
Occupation: string
Gender: string
NumberOfPersonVisiting: int64
NumberOfFollowups: double
ProductPitched: string
PreferredPropertyStar: double
MaritalStatus: string
NumberOfTrips: double
Passport: int64
PitchSatisfactionScore: int64
OwnCar: int64
NumberOfChildrenVisiting: double
Designation: string
MonthlyIncome: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2881
to
{'Age': Value('float64'), 'TypeofContact': Value('string'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('string'), 'Gender': Value('string'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('string'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('string'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('string'), 'MonthlyIncome': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'ProdTaken', 'CustomerID', 'Unnamed: 0'})
This happened while the csv dataset builder was generating data using
hf://datasets/Vaddiritz/Tourism-Package-Prediction-rithika_new/tourism.csv (at revision 0fbc6a496909992c64e4927d1fa7d7a7df72129a)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Age
float64 | TypeofContact
string | CityTier
int64 | DurationOfPitch
float64 | Occupation
string | Gender
string | NumberOfPersonVisiting
int64 | NumberOfFollowups
float64 | ProductPitched
string | PreferredPropertyStar
float64 | MaritalStatus
string | NumberOfTrips
float64 | Passport
int64 | PitchSatisfactionScore
int64 | OwnCar
int64 | NumberOfChildrenVisiting
float64 | Designation
string | MonthlyIncome
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44 |
Self Enquiry
| 1 | 8 |
Salaried
|
Female
| 3 | 1 |
Standard
| 3 |
Married
| 2 | 1 | 4 | 1 | 0 |
Senior Manager
| 22,879 |
35 |
Self Enquiry
| 3 | 20 |
Small Business
|
Male
| 3 | 4 |
Standard
| 3 |
Married
| 3 | 0 | 1 | 1 | 2 |
Senior Manager
| 27,306 |
47 |
Self Enquiry
| 3 | 7 |
Small Business
|
Female
| 4 | 4 |
Standard
| 5 |
Married
| 3 | 0 | 2 | 1 | 2 |
Senior Manager
| 29,131 |
32 |
Self Enquiry
| 1 | 6 |
Salaried
|
Male
| 3 | 3 |
Deluxe
| 4 |
Married
| 2 | 0 | 3 | 1 | 0 |
Manager
| 21,220 |
59 |
Self Enquiry
| 1 | 9 |
Large Business
|
Male
| 3 | 4 |
Basic
| 3 |
Single
| 6 | 0 | 2 | 1 | 2 |
Executive
| 21,157 |
44 |
Self Enquiry
| 3 | 11 |
Small Business
|
Male
| 2 | 3 |
King
| 4 |
Divorced
| 1 | 0 | 5 | 1 | 1 |
VP
| 33,213 |
32 |
Self Enquiry
| 1 | 35 |
Salaried
|
Female
| 2 | 4 |
Basic
| 4 |
Single
| 2 | 0 | 3 | 1 | 0 |
Executive
| 17,837 |
27 |
Self Enquiry
| 3 | 7 |
Salaried
|
Male
| 3 | 4 |
Deluxe
| 3 |
Married
| 3 | 0 | 5 | 0 | 2 |
Manager
| 23,974 |
38 |
Company Invited
| 3 | 8 |
Salaried
|
Male
| 2 | 4 |
Deluxe
| 3 |
Divorced
| 4 | 0 | 5 | 1 | 1 |
Manager
| 20,249 |
32 |
Self Enquiry
| 1 | 12 |
Large Business
|
Male
| 3 | 4 |
Basic
| 3 |
Married
| 2 | 1 | 4 | 1 | 1 |
Executive
| 23,499 |
40 |
Self Enquiry
| 1 | 30 |
Large Business
|
Male
| 3 | 3 |
Deluxe
| 3 |
Married
| 2 | 0 | 3 | 1 | 1 |
Manager
| 18,319 |
38 |
Self Enquiry
| 1 | 20 |
Small Business
|
Male
| 3 | 4 |
Deluxe
| 3 |
Married
| 3 | 0 | 1 | 0 | 1 |
Manager
| 22,963 |
35 |
Company Invited
| 3 | 6 |
Small Business
|
Female
| 3 | 3 |
Standard
| 3 |
Unmarried
| 2 | 0 | 5 | 1 | 0 |
Senior Manager
| 23,789 |
35 |
Self Enquiry
| 1 | 8 |
Salaried
|
Female
| 3 | 3 |
Basic
| 5 |
Married
| 2 | 1 | 1 | 1 | 1 |
Executive
| 17,074 |
34 |
Self Enquiry
| 1 | 17 |
Small Business
|
Male
| 3 | 6 |
Basic
| 3 |
Married
| 2 | 0 | 5 | 0 | 1 |
Executive
| 22,086 |
33 |
Self Enquiry
| 1 | 36 |
Salaried
|
Female
| 3 | 5 |
Basic
| 4 |
Unmarried
| 3 | 0 | 3 | 1 | 1 |
Executive
| 21,515 |
51 |
Self Enquiry
| 1 | 15 |
Salaried
|
Male
| 3 | 3 |
Basic
| 3 |
Divorced
| 4 | 0 | 3 | 1 | 0 |
Executive
| 17,075 |
29 |
Company Invited
| 3 | 30 |
Large Business
|
Male
| 2 | 1 |
Basic
| 5 |
Single
| 2 | 0 | 3 | 1 | 1 |
Executive
| 16,091 |
34 |
Company Invited
| 3 | 25 |
Small Business
|
Male
| 3 | 2 |
Deluxe
| 3 |
Single
| 1 | 1 | 2 | 1 | 2 |
Manager
| 20,304 |
38 |
Self Enquiry
| 1 | 14 |
Small Business
|
Male
| 2 | 4 |
Standard
| 3 |
Single
| 6 | 0 | 2 | 0 | 1 |
Senior Manager
| 32,342 |
46 |
Self Enquiry
| 1 | 6 |
Small Business
|
Male
| 3 | 3 |
Standard
| 5 |
Married
| 1 | 0 | 2 | 0 | 0 |
Senior Manager
| 24,396 |
54 |
Self Enquiry
| 2 | 25 |
Small Business
|
Male
| 2 | 3 |
Standard
| 4 |
Divorced
| 3 | 0 | 3 | 1 | 0 |
Senior Manager
| 25,725 |
56 |
Self Enquiry
| 1 | 15 |
Small Business
|
Male
| 2 | 3 |
Super Deluxe
| 3 |
Married
| 1 | 0 | 4 | 0 | 0 |
AVP
| 26,103 |
30 |
Company Invited
| 1 | 10 |
Large Business
|
Male
| 2 | 3 |
Basic
| 3 |
Single
| 19 | 1 | 4 | 1 | 1 |
Executive
| 17,285 |
26 |
Self Enquiry
| 1 | 6 |
Small Business
|
Male
| 3 | 3 |
Basic
| 5 |
Single
| 1 | 0 | 5 | 1 | 2 |
Executive
| 17,867 |
33 |
Self Enquiry
| 1 | 13 |
Small Business
|
Male
| 2 | 3 |
Standard
| 3 |
Married
| 1 | 0 | 4 | 1 | 0 |
Senior Manager
| 26,691 |
24 |
Self Enquiry
| 1 | 23 |
Salaried
|
Male
| 3 | 4 |
Basic
| 4 |
Married
| 2 | 0 | 3 | 1 | 1 |
Executive
| 17,127 |
30 |
Self Enquiry
| 1 | 36 |
Salaried
|
Male
| 4 | 6 |
Deluxe
| 3 |
Married
| 2 | 0 | 5 | 1 | 3 |
Manager
| 25,062 |
33 |
Company Invited
| 3 | 8 |
Small Business
|
Female
| 3 | 3 |
Deluxe
| 4 |
Single
| 1 | 0 | 1 | 0 | 0 |
Manager
| 20,147 |
53 |
Company Invited
| 3 | 8 |
Small Business
|
Female
| 2 | 4 |
Standard
| 4 |
Married
| 3 | 0 | 1 | 1 | 0 |
Senior Manager
| 22,525 |
29 |
Company Invited
| 3 | 14 |
Salaried
|
Male
| 3 | 4 |
Deluxe
| 5 |
Unmarried
| 2 | 0 | 3 | 1 | 2 |
Manager
| 23,576 |
39 |
Self Enquiry
| 1 | 15 |
Small Business
|
Male
| 2 | 3 |
Deluxe
| 5 |
Married
| 2 | 0 | 4 | 1 | 0 |
Manager
| 20,151 |
46 |
Self Enquiry
| 3 | 9 |
Salaried
|
Male
| 4 | 4 |
Deluxe
| 4 |
Married
| 2 | 0 | 5 | 1 | 3 |
Manager
| 23,483 |
35 |
Self Enquiry
| 1 | 14 |
Salaried
|
Female
| 3 | 4 |
Standard
| 4 |
Single
| 2 | 0 | 3 | 1 | 1 |
Senior Manager
| 30,672 |
35 |
Company Invited
| 3 | 9 |
Small Business
|
Female
| 4 | 4 |
Basic
| 3 |
Married
| 8 | 0 | 5 | 0 | 1 |
Executive
| 20,909 |
33 |
Company Invited
| 1 | 7 |
Salaried
|
Female
| 4 | 5 |
Basic
| 4 |
Married
| 8 | 0 | 3 | 0 | 3 |
Executive
| 21,010 |
29 |
Company Invited
| 1 | 16 |
Salaried
|
Female
| 2 | 4 |
Basic
| 3 |
Unmarried
| 2 | 0 | 4 | 1 | 0 |
Executive
| 21,623 |
41 |
Company Invited
| 3 | 16 |
Salaried
|
Male
| 2 | 3 |
Deluxe
| 3 |
Single
| 1 | 0 | 1 | 0 | 1 |
Manager
| 21,230 |
43 |
Self Enquiry
| 1 | 36 |
Small Business
|
Male
| 3 | 6 |
Deluxe
| 3 |
Unmarried
| 6 | 0 | 3 | 1 | 1 |
Manager
| 22,950 |
35 |
Company Invited
| 3 | 13 |
Small Business
|
Female
| 3 | 6 |
Basic
| 3 |
Married
| 2 | 0 | 4 | 0 | 2 |
Executive
| 21,029 |
41 |
Self Enquiry
| 3 | 12 |
Salaried
|
Female
| 3 | 3 |
Standard
| 3 |
Single
| 4 | 1 | 1 | 0 | 0 |
Senior Manager
| 28,591 |
33 |
Self Enquiry
| 1 | 6 |
Salaried
|
Female
| 2 | 4 |
Deluxe
| 3 |
Unmarried
| 1 | 0 | 4 | 0 | 0 |
Manager
| 21,949 |
40 |
Company Invited
| 1 | 15 |
Small Business
|
Female
| 2 | 3 |
Standard
| 3 |
Unmarried
| 1 | 0 | 4 | 0 | 0 |
Senior Manager
| 28,499 |
26 |
Company Invited
| 1 | 9 |
Large Business
|
Male
| 3 | 3 |
Basic
| 5 |
Single
| 1 | 0 | 3 | 0 | 1 |
Executive
| 18,102 |
41 |
Self Enquiry
| 1 | 25 |
Salaried
|
Male
| 2 | 3 |
Deluxe
| 5 |
Married
| 3 | 0 | 1 | 0 | 0 |
Manager
| 18,072 |
37 |
Company Invited
| 1 | 17 |
Salaried
|
Male
| 2 | 3 |
Standard
| 3 |
Married
| 2 | 1 | 3 | 0 | 1 |
Senior Manager
| 27,185 |
31 |
Self Enquiry
| 3 | 13 |
Salaried
|
Male
| 2 | 4 |
Basic
| 3 |
Married
| 4 | 0 | 4 | 1 | 1 |
Executive
| 17,329 |
45 |
Self Enquiry
| 3 | 8 |
Salaried
|
Male
| 3 | 6 |
Deluxe
| 4 |
Single
| 8 | 0 | 3 | 0 | 2 |
Manager
| 21,040 |
33 |
Company Invited
| 1 | 9 |
Salaried
|
Male
| 3 | 3 |
Basic
| 5 |
Single
| 2 | 1 | 5 | 1 | 2 |
Executive
| 18,348 |
33 |
Self Enquiry
| 1 | 9 |
Small Business
|
Female
| 4 | 4 |
Basic
| 4 |
Divorced
| 3 | 0 | 4 | 0 | 1 |
Executive
| 21,048 |
33 |
Self Enquiry
| 1 | 14 |
Salaried
|
Male
| 3 | 3 |
Deluxe
| 3 |
Unmarried
| 3 | 1 | 3 | 0 | 2 |
Manager
| 21,388 |
30 |
Self Enquiry
| 3 | 18 |
Large Business
|
Female
| 2 | 3 |
Deluxe
| 3 |
Unmarried
| 1 | 0 | 2 | 1 | 0 |
Manager
| 21,577 |
42 |
Company Invited
| 1 | 25 |
Small Business
|
Male
| 2 | 2 |
Basic
| 3 |
Married
| 7 | 1 | 3 | 1 | 1 |
Executive
| 17,759 |
46 |
Self Enquiry
| 1 | 8 |
Salaried
|
Male
| 2 | 3 |
Super Deluxe
| 3 |
Married
| 7 | 0 | 5 | 1 | 0 |
AVP
| 32,861 |
51 |
Self Enquiry
| 1 | 16 |
Salaried
|
Male
| 4 | 4 |
Basic
| 3 |
Married
| 6 | 0 | 5 | 1 | 3 |
Executive
| 21,058 |
30 |
Self Enquiry
| 1 | 8 |
Salaried
|
Female
| 2 | 5 |
Deluxe
| 3 |
Single
| 3 | 0 | 1 | 1 | 0 |
Manager
| 21,091 |
37 |
Company Invited
| 1 | 25 |
Salaried
|
Male
| 3 | 3 |
Basic
| 3 |
Divorced
| 6 | 0 | 5 | 0 | 1 |
Executive
| 22,366 |
28 |
Company Invited
| 2 | 6 |
Salaried
|
Male
| 2 | 3 |
Basic
| 3 |
Married
| 2 | 0 | 4 | 0 | 1 |
Executive
| 17,706 |
42 |
Self Enquiry
| 1 | 12 |
Small Business
|
Male
| 2 | 3 |
Standard
| 5 |
Married
| 1 | 0 | 3 | 1 | 0 |
Senior Manager
| 28,348 |
44 |
Self Enquiry
| 1 | 10 |
Small Business
|
Male
| 2 | 3 |
Deluxe
| 4 |
Single
| 1 | 0 | 2 | 1 | 0 |
Manager
| 20,933 |
39 |
Company Invited
| 1 | 9 |
Small Business
|
Female
| 3 | 5 |
Basic
| 4 |
Single
| 3 | 0 | 1 | 1 | 1 |
Executive
| 21,118 |
42 |
Self Enquiry
| 1 | 23 |
Salaried
|
Female
| 2 | 2 |
Deluxe
| 5 |
Unmarried
| 4 | 1 | 2 | 0 | 0 |
Manager
| 21,545 |
39 |
Company Invited
| 1 | 28 |
Small Business
|
Female
| 2 | 3 |
Standard
| 5 |
Unmarried
| 2 | 1 | 5 | 1 | 1 |
Senior Manager
| 25,880 |
28 |
Company Invited
| 1 | 6 |
Salaried
|
Female
| 2 | 5 |
Deluxe
| 3 |
Divorced
| 1 | 0 | 3 | 1 | 0 |
Manager
| 21,674 |
43 |
Self Enquiry
| 1 | 20 |
Salaried
|
Male
| 3 | 3 |
Super Deluxe
| 5 |
Married
| 7 | 0 | 5 | 1 | 1 |
AVP
| 32,159 |
45 |
Self Enquiry
| 1 | 22 |
Small Business
|
Female
| 4 | 4 |
Standard
| 3 |
Divorced
| 3 | 0 | 3 | 0 | 2 |
Senior Manager
| 26,656 |
53 |
Self Enquiry
| 1 | 13 |
Large Business
|
Male
| 4 | 4 |
Deluxe
| 5 |
Married
| 5 | 1 | 4 | 1 | 2 |
Manager
| 24,255 |
42 |
Self Enquiry
| 1 | 16 |
Salaried
|
Male
| 4 | 4 |
Basic
| 5 |
Married
| 4 | 0 | 1 | 0 | 1 |
Executive
| 20,916 |
36 |
Self Enquiry
| 1 | 33 |
Small Business
|
Male
| 3 | 3 |
Deluxe
| 3 |
Divorced
| 7 | 0 | 3 | 1 | 0 |
Manager
| 20,237 |
22 |
Self Enquiry
| 1 | 7 |
Large Business
|
Female
| 4 | 5 |
Basic
| 4 |
Single
| 3 | 1 | 5 | 0 | 3 |
Executive
| 20,748 |
37 |
Self Enquiry
| 1 | 12 |
Salaried
|
Male
| 4 | 4 |
Deluxe
| 4 |
Unmarried
| 2 | 0 | 2 | 0 | 3 |
Manager
| 24,592 |
30 |
Company Invited
| 3 | 20 |
Large Business
|
Female
| 3 | 4 |
Deluxe
| 4 |
Unmarried
| 7 | 0 | 3 | 0 | 2 |
Manager
| 24,443 |
36 |
Company Invited
| 1 | 18 |
Small Business
|
Male
| 4 | 5 |
Standard
| 5 |
Married
| 4 | 1 | 5 | 1 | 3 |
Senior Manager
| 28,562 |
40 |
Self Enquiry
| 1 | 10 |
Small Business
|
Female
| 2 | 3 |
King
| 3 |
Divorced
| 2 | 0 | 5 | 0 | 1 |
VP
| 34,033 |
51 |
Company Invited
| 1 | 14 |
Salaried
|
Male
| 2 | 5 |
Standard
| 3 |
Unmarried
| 3 | 0 | 2 | 0 | 1 |
Senior Manager
| 25,650 |
39 |
Self Enquiry
| 3 | 7 |
Salaried
|
Male
| 3 | 5 |
Basic
| 5 |
Unmarried
| 6 | 0 | 3 | 0 | 2 |
Executive
| 21,536 |
43 |
Self Enquiry
| 1 | 18 |
Salaried
|
Male
| 2 | 4 |
Super Deluxe
| 4 |
Married
| 2 | 0 | 3 | 0 | 1 |
AVP
| 29,336 |
35 |
Self Enquiry
| 1 | 10 |
Salaried
|
Male
| 3 | 3 |
Basic
| 3 |
Married
| 2 | 0 | 4 | 0 | 0 |
Executive
| 16,951 |
40 |
Company Invited
| 1 | 9 |
Large Business
|
Female
| 4 | 4 |
Standard
| 3 |
Single
| 2 | 0 | 2 | 1 | 2 |
Senior Manager
| 29,616 |
27 |
Self Enquiry
| 3 | 17 |
Small Business
|
Male
| 3 | 4 |
Deluxe
| 3 |
Unmarried
| 3 | 0 | 1 | 0 | 1 |
Manager
| 23,362 |
26 |
Company Invited
| 1 | 8 |
Salaried
|
Male
| 2 | 3 |
Basic
| 5 |
Divorced
| 7 | 1 | 5 | 1 | 0 |
Executive
| 17,042 |
43 |
Company Invited
| 3 | 32 |
Salaried
|
Male
| 3 | 3 |
Super Deluxe
| 3 |
Divorced
| 2 | 1 | 2 | 0 | 0 |
AVP
| 31,959 |
32 |
Self Enquiry
| 1 | 18 |
Small Business
|
Male
| 4 | 4 |
Deluxe
| 5 |
Divorced
| 3 | 1 | 2 | 0 | 3 |
Manager
| 25,511 |
35 |
Self Enquiry
| 1 | 12 |
Small Business
|
Female
| 3 | 5 |
Standard
| 5 |
Single
| 4 | 0 | 2 | 0 | 1 |
Senior Manager
| 30,309 |
34 |
Self Enquiry
| 1 | 11 |
Small Business
|
Female
| 3 | 5 |
Basic
| 4 |
Married
| 8 | 0 | 4 | 0 | 2 |
Executive
| 21,300 |
31 |
Self Enquiry
| 1 | 14 |
Salaried
|
Female
| 2 | 4 |
Basic
| 4 |
Single
| 2 | 0 | 4 | 0 | 1 |
Executive
| 16,261 |
35 |
Self Enquiry
| 3 | 16 |
Salaried
|
Female
| 4 | 4 |
Deluxe
| 3 |
Married
| 3 | 0 | 1 | 0 | 1 |
Manager
| 24,392 |
42 |
Company Invited
| 3 | 16 |
Salaried
|
Male
| 3 | 6 |
Super Deluxe
| 3 |
Married
| 2 | 0 | 5 | 1 | 2 |
AVP
| 24,829 |
34 |
Self Enquiry
| 1 | 14 |
Salaried
|
Female
| 2 | 3 |
Deluxe
| 5 |
Married
| 4 | 0 | 5 | 1 | 1 |
Manager
| 20,121 |
34 |
Self Enquiry
| 1 | 9 |
Salaried
|
Female
| 3 | 4 |
Basic
| 5 |
Divorced
| 2 | 0 | 3 | 1 | 1 |
Executive
| 21,385 |
34 |
Self Enquiry
| 1 | 13 |
Salaried
|
Female
| 2 | 3 |
Standard
| 4 |
Unmarried
| 1 | 0 | 3 | 1 | 0 |
Senior Manager
| 26,994 |
39 |
Self Enquiry
| 1 | 36 |
Large Business
|
Male
| 3 | 4 |
Deluxe
| 3 |
Divorced
| 5 | 0 | 2 | 0 | 2 |
Manager
| 24,939 |
29 |
Self Enquiry
| 1 | 12 |
Large Business
|
Male
| 3 | 4 |
Basic
| 3 |
Unmarried
| 3 | 1 | 1 | 0 | 1 |
Executive
| 22,119 |
35 |
Company Invited
| 1 | 8 |
Small Business
|
Male
| 2 | 3 |
Deluxe
| 3 |
Married
| 3 | 0 | 3 | 0 | 1 |
Manager
| 20,762 |
26 |
Self Enquiry
| 3 | 10 |
Small Business
|
Male
| 2 | 4 |
Deluxe
| 3 |
Single
| 2 | 1 | 2 | 1 | 1 |
Manager
| 20,828 |
37 |
Self Enquiry
| 1 | 10 |
Salaried
|
Female
| 3 | 4 |
Basic
| 3 |
Married
| 7 | 0 | 2 | 1 | 1 |
Executive
| 21,513 |
35 |
Company Invited
| 1 | 16 |
Salaried
|
Male
| 4 | 4 |
Deluxe
| 5 |
Married
| 6 | 0 | 3 | 0 | 2 |
Manager
| 24,024 |
40 |
Company Invited
| 1 | 9 |
Salaried
|
Male
| 3 | 4 |
Super Deluxe
| 3 |
Married
| 2 | 0 | 3 | 1 | 1 |
AVP
| 30,847 |
33 |
Self Enquiry
| 3 | 11 |
Small Business
|
Female
| 2 | 3 |
Basic
| 3 |
Single
| 2 | 1 | 2 | 1 | 0 |
Executive
| 17,851 |
38 |
Self Enquiry
| 3 | 15 |
Small Business
|
Male
| 3 | 4 |
Basic
| 4 |
Divorced
| 1 | 0 | 4 | 0 | 0 |
Executive
| 17,899 |
End of preview.
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