age
int64 | job
string | marital_status
string | education_level
int64 | has_defaulted
bool | account_balance
int64 | has_housing_loan
bool | has_personal_loan
bool | month_of_last_contact
string | number_of_calls_in_ad_campaign
int64 | days_since_last_contact_of_previous_campaign
int64 | number_of_calls_before_this_campaign
int64 | successful_subscription
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
47
|
admin.
|
married
| 2
| false
| 219
| true
| false
|
may
| 1
| -1
| 0
| 0
|
48
|
self-employed
|
married
| 3
| false
| 7
| true
| false
|
may
| 1
| -1
| 0
| 0
|
44
|
blue-collar
|
married
| 2
| false
| 575
| true
| false
|
may
| 1
| -1
| 0
| 0
|
35
|
student
|
single
| 0
| false
| 298
| true
| false
|
may
| 2
| -1
| 0
| 0
|
35
|
services
|
married
| 2
| false
| 0
| true
| false
|
may
| 1
| -1
| 0
| 0
|
50
|
services
|
married
| 2
| false
| 5,699
| true
| false
|
may
| 2
| -1
| 0
| 0
|
41
|
management
|
married
| 3
| false
| 176
| true
| true
|
may
| 1
| -1
| 0
| 0
|
41
|
management
|
married
| 3
| false
| 517
| true
| false
|
may
| 1
| -1
| 0
| 0
|
39
|
services
|
single
| 0
| false
| 257
| true
| false
|
may
| 1
| -1
| 0
| 0
|
42
|
retired
|
married
| 2
| false
| 56
| true
| false
|
may
| 1
| -1
| 0
| 0
|
38
|
blue-collar
|
married
| 2
| false
| -390
| true
| false
|
may
| 1
| -1
| 0
| 0
|
53
|
retired
|
married
| 2
| false
| 330
| true
| false
|
may
| 2
| -1
| 0
| 0
|
59
|
housemaid
|
divorced
| 1
| false
| 195
| false
| false
|
may
| 2
| -1
| 0
| 0
|
36
|
services
|
married
| 2
| false
| 301
| true
| false
|
may
| 1
| -1
| 0
| 0
|
54
|
blue-collar
|
married
| 1
| false
| -41
| true
| false
|
may
| 1
| -1
| 0
| 0
|
40
|
technician
|
married
| 3
| false
| 483
| true
| false
|
may
| 1
| -1
| 0
| 0
|
47
|
unknown
|
married
| 0
| false
| 28
| false
| false
|
may
| 2
| -1
| 0
| 0
|
53
|
unemployed
|
married
| 0
| false
| 13
| false
| false
|
may
| 3
| -1
| 0
| 0
|
46
|
housemaid
|
married
| 1
| false
| 965
| false
| false
|
may
| 1
| -1
| 0
| 0
|
39
|
management
|
married
| 3
| false
| 378
| true
| true
|
may
| 2
| -1
| 0
| 0
|
40
|
unemployed
|
married
| 2
| false
| 219
| true
| false
|
may
| 1
| -1
| 0
| 0
|
28
|
blue-collar
|
married
| 1
| false
| 324
| true
| false
|
may
| 1
| -1
| 0
| 0
|
35
|
entrepreneur
|
divorced
| 2
| false
| -69
| true
| false
|
may
| 1
| -1
| 0
| 0
|
55
|
retired
|
married
| 2
| false
| 0
| false
| true
|
may
| 1
| -1
| 0
| 0
|
43
|
technician
|
divorced
| 0
| false
| 205
| true
| false
|
may
| 1
| -1
| 0
| 0
|
48
|
blue-collar
|
married
| 1
| false
| 278
| true
| false
|
may
| 2
| -1
| 0
| 0
|
58
|
management
|
married
| 0
| false
| 1,065
| true
| false
|
may
| 3
| -1
| 0
| 0
|
33
|
management
|
single
| 3
| false
| 34
| true
| false
|
may
| 1
| -1
| 0
| 0
|
36
|
blue-collar
|
married
| 0
| false
| 1,033
| false
| false
|
may
| 2
| -1
| 0
| 0
|
53
|
services
|
divorced
| 2
| false
| 1,467
| true
| false
|
may
| 1
| -1
| 0
| 0
|
47
|
blue-collar
|
married
| 1
| false
| -12
| true
| false
|
may
| 1
| -1
| 0
| 0
|
31
|
services
|
married
| 2
| false
| 388
| true
| false
|
may
| 2
| -1
| 0
| 0
|
57
|
entrepreneur
|
married
| 2
| false
| 294
| true
| false
|
may
| 2
| -1
| 0
| 0
|
53
|
blue-collar
|
married
| 0
| false
| 1,827
| false
| false
|
may
| 1
| -1
| 0
| 0
|
55
|
blue-collar
|
married
| 1
| false
| 627
| true
| false
|
may
| 1
| -1
| 0
| 0
|
45
|
blue-collar
|
married
| 1
| false
| 25
| true
| false
|
may
| 1
| -1
| 0
| 0
|
53
|
admin.
|
divorced
| 2
| false
| 315
| true
| false
|
may
| 2
| -1
| 0
| 0
|
37
|
blue-collar
|
married
| 1
| false
| 0
| true
| false
|
may
| 1
| -1
| 0
| 0
|
44
|
admin.
|
divorced
| 2
| false
| 66
| true
| false
|
may
| 1
| -1
| 0
| 0
|
49
|
blue-collar
|
divorced
| 1
| false
| -9
| true
| true
|
may
| 1
| -1
| 0
| 0
|
46
|
technician
|
married
| 2
| false
| 349
| true
| true
|
may
| 1
| -1
| 0
| 0
|
43
|
entrepreneur
|
married
| 0
| false
| 100
| true
| false
|
may
| 1
| -1
| 0
| 0
|
38
|
admin.
|
married
| 2
| false
| 0
| false
| false
|
may
| 1
| -1
| 0
| 0
|
43
|
technician
|
married
| 2
| false
| 434
| true
| false
|
may
| 1
| -1
| 0
| 0
|
49
|
management
|
married
| 3
| false
| 3,237
| true
| false
|
may
| 3
| -1
| 0
| 0
|
42
|
management
|
married
| 0
| false
| 275
| false
| false
|
may
| 2
| -1
| 0
| 0
|
22
|
blue-collar
|
single
| 2
| false
| 0
| true
| false
|
may
| 2
| -1
| 0
| 0
|
40
|
management
|
married
| 3
| false
| 207
| true
| false
|
may
| 1
| -1
| 0
| 0
|
39
|
blue-collar
|
married
| 2
| false
| 483
| true
| false
|
may
| 1
| -1
| 0
| 0
|
51
|
services
|
married
| 2
| false
| 2,248
| true
| false
|
may
| 2
| -1
| 0
| 0
|
49
|
admin.
|
married
| 2
| false
| 428
| true
| false
|
may
| 1
| -1
| 0
| 0
|
53
|
blue-collar
|
married
| 2
| false
| 0
| true
| true
|
may
| 1
| -1
| 0
| 0
|
34
|
services
|
single
| 2
| false
| 0
| true
| false
|
may
| 1
| -1
| 0
| 0
|
33
|
technician
|
divorced
| 2
| false
| 140
| true
| false
|
may
| 1
| -1
| 0
| 0
|
50
|
management
|
single
| 3
| false
| 297
| true
| false
|
may
| 1
| -1
| 0
| 0
|
39
|
blue-collar
|
married
| 1
| false
| 279
| true
| false
|
may
| 1
| -1
| 0
| 0
|
59
|
entrepreneur
|
divorced
| 2
| false
| 901
| true
| false
|
may
| 3
| -1
| 0
| 0
|
30
|
technician
|
single
| 2
| false
| 2,573
| true
| false
|
may
| 2
| -1
| 0
| 0
|
36
|
services
|
married
| 2
| false
| 143
| true
| true
|
may
| 1
| -1
| 0
| 0
|
40
|
blue-collar
|
married
| 2
| false
| 475
| true
| false
|
may
| 2
| -1
| 0
| 0
|
53
|
blue-collar
|
married
| 2
| false
| 70
| true
| false
|
may
| 2
| -1
| 0
| 0
|
34
|
management
|
single
| 3
| false
| 318
| true
| false
|
may
| 2
| -1
| 0
| 0
|
37
|
technician
|
married
| 2
| false
| 275
| true
| false
|
may
| 1
| -1
| 0
| 0
|
42
|
management
|
divorced
| 3
| false
| 742
| true
| false
|
may
| 3
| -1
| 0
| 0
|
41
|
entrepreneur
|
married
| 1
| false
| 236
| true
| false
|
may
| 1
| -1
| 0
| 0
|
30
|
student
|
single
| 3
| false
| 25
| true
| false
|
may
| 2
| -1
| 0
| 0
|
37
|
management
|
single
| 3
| false
| 600
| true
| false
|
may
| 1
| -1
| 0
| 0
|
39
|
admin.
|
divorced
| 2
| false
| -349
| true
| false
|
may
| 2
| -1
| 0
| 0
|
41
|
blue-collar
|
married
| 1
| false
| 183
| true
| true
|
may
| 2
| -1
| 0
| 0
|
40
|
blue-collar
|
married
| 1
| false
| 0
| true
| false
|
may
| 1
| -1
| 0
| 0
|
42
|
management
|
single
| 3
| false
| 0
| true
| true
|
may
| 2
| -1
| 0
| 1
|
40
|
blue-collar
|
divorced
| 1
| false
| 0
| true
| false
|
may
| 1
| -1
| 0
| 0
|
57
|
technician
|
married
| 2
| false
| 1,078
| true
| false
|
may
| 4
| -1
| 0
| 0
|
56
|
entrepreneur
|
divorced
| 2
| false
| 155
| false
| false
|
may
| 3
| -1
| 0
| 0
|
37
|
admin.
|
married
| 2
| false
| 190
| true
| false
|
may
| 2
| -1
| 0
| 0
|
59
|
retired
|
married
| 2
| false
| 319
| true
| false
|
may
| 3
| -1
| 0
| 0
|
39
|
services
|
divorced
| 2
| false
| -185
| true
| false
|
may
| 3
| -1
| 0
| 0
|
49
|
services
|
married
| 2
| false
| 47
| false
| false
|
may
| 2
| -1
| 0
| 0
|
38
|
services
|
single
| 2
| false
| 570
| true
| false
|
may
| 2
| -1
| 0
| 0
|
36
|
self-employed
|
married
| 3
| false
| 19
| false
| false
|
may
| 2
| -1
| 0
| 0
|
50
|
blue-collar
|
married
| 1
| false
| 61
| true
| false
|
may
| 3
| -1
| 0
| 0
|
41
|
admin.
|
married
| 2
| false
| -62
| true
| true
|
may
| 2
| -1
| 0
| 0
|
54
|
technician
|
married
| 3
| false
| 258
| false
| false
|
may
| 4
| -1
| 0
| 0
|
58
|
blue-collar
|
married
| 1
| false
| 76
| true
| false
|
may
| 2
| -1
| 0
| 0
|
30
|
blue-collar
|
single
| 2
| false
| 0
| true
| false
|
may
| 2
| -1
| 0
| 0
|
33
|
admin.
|
single
| 2
| false
| 352
| true
| false
|
may
| 2
| -1
| 0
| 0
|
47
|
admin.
|
married
| 2
| false
| 368
| true
| false
|
may
| 2
| -1
| 0
| 0
|
50
|
technician
|
single
| 3
| false
| 339
| true
| false
|
may
| 3
| -1
| 0
| 0
|
32
|
blue-collar
|
married
| 2
| false
| 1,331
| true
| false
|
may
| 2
| -1
| 0
| 0
|
40
|
self-employed
|
married
| 2
| false
| 672
| true
| false
|
may
| 2
| -1
| 0
| 0
|
37
|
management
|
married
| 3
| false
| 58
| true
| false
|
may
| 2
| -1
| 0
| 0
|
54
|
technician
|
single
| 0
| false
| 447
| true
| false
|
may
| 2
| -1
| 0
| 0
|
24
|
student
|
single
| 2
| false
| 423
| true
| false
|
may
| 3
| -1
| 0
| 0
|
54
|
management
|
married
| 3
| false
| 0
| false
| false
|
may
| 2
| -1
| 0
| 0
|
34
|
technician
|
married
| 2
| false
| 19
| true
| false
|
may
| 4
| -1
| 0
| 0
|
56
|
technician
|
divorced
| 1
| false
| 13
| true
| false
|
may
| 2
| -1
| 0
| 0
|
31
|
blue-collar
|
single
| 2
| false
| 3
| true
| false
|
may
| 2
| -1
| 0
| 0
|
24
|
student
|
single
| 2
| false
| 82
| true
| false
|
may
| 2
| -1
| 0
| 0
|
42
|
blue-collar
|
divorced
| 1
| false
| 28
| true
| false
|
may
| 3
| -1
| 0
| 0
|
57
|
technician
|
married
| 2
| false
| 792
| true
| false
|
may
| 2
| -1
| 0
| 0
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.