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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 1 new columns ({'prodtaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/Sandhya777/wellness-package-prediction/tourism.csv (at revision 5f6aa11433a42466e937ee0ad80ba90e18d9503f)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
prodtaken: int64
age: int64
typeofcontact: string
citytier: int64
durationofpitch: int64
occupation: string
gender: string
numberofpersonvisiting: int64
numberoffollowups: int64
productpitched: string
preferredpropertystar: int64
maritalstatus: string
numberoftrips: int64
passport: int64
pitchsatisfactionscore: int64
owncar: int64
numberofchildrenvisiting: int64
designation: string
monthlyincome: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2619
to
{'age': Value('int64'), 'citytier': Value('int64'), 'durationofpitch': Value('int64'), 'numberofpersonvisiting': Value('int64'), 'numberoffollowups': Value('int64'), 'preferredpropertystar': Value('int64'), 'numberoftrips': Value('int64'), 'passport': Value('int64'), 'pitchsatisfactionscore': Value('int64'), 'owncar': Value('int64'), 'numberofchildrenvisiting': Value('int64'), 'monthlyincome': Value('int64'), 'typeofcontact': Value('string'), 'occupation': Value('string'), 'gender': Value('string'), 'maritalstatus': Value('string'), 'designation': Value('string'), 'productpitched': Value('string')}
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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 1 new columns ({'prodtaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/Sandhya777/wellness-package-prediction/tourism.csv (at revision 5f6aa11433a42466e937ee0ad80ba90e18d9503f)
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
int64 | citytier
int64 | durationofpitch
int64 | numberofpersonvisiting
int64 | numberoffollowups
int64 | preferredpropertystar
int64 | numberoftrips
int64 | passport
int64 | pitchsatisfactionscore
int64 | owncar
int64 | numberofchildrenvisiting
int64 | monthlyincome
int64 | typeofcontact
string | occupation
string | gender
string | maritalstatus
string | designation
string | productpitched
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44
| 1
| 8
| 3
| 1
| 3
| 2
| 1
| 4
| 1
| 0
| 22,879
|
Self Enquiry
|
Salaried
|
Female
|
Married
|
Senior Manager
|
Standard
|
35
| 3
| 20
| 3
| 4
| 3
| 3
| 0
| 1
| 1
| 2
| 27,306
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Senior Manager
|
Standard
|
47
| 3
| 7
| 4
| 4
| 5
| 3
| 0
| 2
| 1
| 2
| 29,131
|
Self Enquiry
|
Small Business
|
Female
|
Married
|
Senior Manager
|
Standard
|
32
| 1
| 6
| 3
| 3
| 4
| 2
| 0
| 3
| 1
| 0
| 21,220
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
59
| 1
| 9
| 3
| 4
| 3
| 6
| 0
| 2
| 1
| 2
| 21,157
|
Self Enquiry
|
Large Business
|
Male
|
Single
|
Executive
|
Basic
|
44
| 3
| 11
| 2
| 3
| 4
| 1
| 0
| 5
| 1
| 1
| 33,213
|
Self Enquiry
|
Small Business
|
Male
|
Divorced
|
VP
|
King
|
32
| 1
| 35
| 2
| 4
| 4
| 2
| 0
| 3
| 1
| 0
| 17,837
|
Self Enquiry
|
Salaried
|
Female
|
Single
|
Executive
|
Basic
|
27
| 3
| 7
| 3
| 4
| 3
| 3
| 0
| 5
| 0
| 2
| 23,974
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
38
| 3
| 8
| 2
| 4
| 3
| 4
| 0
| 5
| 1
| 1
| 20,249
|
Company Invited
|
Salaried
|
Male
|
Divorced
|
Manager
|
Deluxe
|
32
| 1
| 12
| 3
| 4
| 3
| 2
| 1
| 4
| 1
| 1
| 23,499
|
Self Enquiry
|
Large Business
|
Male
|
Married
|
Executive
|
Basic
|
40
| 1
| 30
| 3
| 3
| 3
| 2
| 0
| 3
| 1
| 1
| 18,319
|
Self Enquiry
|
Large Business
|
Male
|
Married
|
Manager
|
Deluxe
|
38
| 1
| 20
| 3
| 4
| 3
| 3
| 0
| 1
| 0
| 1
| 22,963
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Manager
|
Deluxe
|
35
| 3
| 6
| 3
| 3
| 3
| 2
| 0
| 5
| 1
| 0
| 23,789
|
Company Invited
|
Small Business
|
Female
|
Unmarried
|
Senior Manager
|
Standard
|
35
| 1
| 8
| 3
| 3
| 5
| 2
| 1
| 1
| 1
| 1
| 17,074
|
Self Enquiry
|
Salaried
|
Female
|
Married
|
Executive
|
Basic
|
34
| 1
| 17
| 3
| 6
| 3
| 2
| 0
| 5
| 0
| 1
| 22,086
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Executive
|
Basic
|
33
| 1
| 36
| 3
| 5
| 4
| 3
| 0
| 3
| 1
| 1
| 21,515
|
Self Enquiry
|
Salaried
|
Female
|
Unmarried
|
Executive
|
Basic
|
51
| 1
| 15
| 3
| 3
| 3
| 4
| 0
| 3
| 1
| 0
| 17,075
|
Self Enquiry
|
Salaried
|
Male
|
Divorced
|
Executive
|
Basic
|
29
| 3
| 30
| 2
| 1
| 5
| 2
| 0
| 3
| 1
| 1
| 16,091
|
Company Invited
|
Large Business
|
Male
|
Single
|
Executive
|
Basic
|
34
| 3
| 25
| 3
| 2
| 3
| 1
| 1
| 2
| 1
| 2
| 20,304
|
Company Invited
|
Small Business
|
Male
|
Single
|
Manager
|
Deluxe
|
38
| 1
| 14
| 2
| 4
| 3
| 6
| 0
| 2
| 0
| 1
| 32,342
|
Self Enquiry
|
Small Business
|
Male
|
Single
|
Senior Manager
|
Standard
|
46
| 1
| 6
| 3
| 3
| 5
| 1
| 0
| 2
| 0
| 0
| 24,396
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Senior Manager
|
Standard
|
54
| 2
| 25
| 2
| 3
| 4
| 3
| 0
| 3
| 1
| 0
| 25,725
|
Self Enquiry
|
Small Business
|
Male
|
Divorced
|
Senior Manager
|
Standard
|
56
| 1
| 15
| 2
| 3
| 3
| 1
| 0
| 4
| 0
| 0
| 26,103
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
AVP
|
Super Deluxe
|
30
| 1
| 10
| 2
| 3
| 3
| 19
| 1
| 4
| 1
| 1
| 17,285
|
Company Invited
|
Large Business
|
Male
|
Single
|
Executive
|
Basic
|
26
| 1
| 6
| 3
| 3
| 5
| 1
| 0
| 5
| 1
| 2
| 17,867
|
Self Enquiry
|
Small Business
|
Male
|
Single
|
Executive
|
Basic
|
33
| 1
| 13
| 2
| 3
| 3
| 1
| 0
| 4
| 1
| 0
| 26,691
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Senior Manager
|
Standard
|
24
| 1
| 23
| 3
| 4
| 4
| 2
| 0
| 3
| 1
| 1
| 17,127
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
30
| 1
| 36
| 4
| 6
| 3
| 2
| 0
| 5
| 1
| 3
| 25,062
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
33
| 3
| 8
| 3
| 3
| 4
| 1
| 0
| 1
| 0
| 0
| 20,147
|
Company Invited
|
Small Business
|
Female
|
Single
|
Manager
|
Deluxe
|
53
| 3
| 8
| 2
| 4
| 4
| 3
| 0
| 1
| 1
| 0
| 22,525
|
Company Invited
|
Small Business
|
Female
|
Married
|
Senior Manager
|
Standard
|
29
| 3
| 14
| 3
| 4
| 5
| 2
| 0
| 3
| 1
| 2
| 23,576
|
Company Invited
|
Salaried
|
Male
|
Unmarried
|
Manager
|
Deluxe
|
39
| 1
| 15
| 2
| 3
| 5
| 2
| 0
| 4
| 1
| 0
| 20,151
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Manager
|
Deluxe
|
46
| 3
| 9
| 4
| 4
| 4
| 2
| 0
| 5
| 1
| 3
| 23,483
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
35
| 1
| 14
| 3
| 4
| 4
| 2
| 0
| 3
| 1
| 1
| 30,672
|
Self Enquiry
|
Salaried
|
Female
|
Single
|
Senior Manager
|
Standard
|
35
| 3
| 9
| 4
| 4
| 3
| 8
| 0
| 5
| 0
| 1
| 20,909
|
Company Invited
|
Small Business
|
Female
|
Married
|
Executive
|
Basic
|
33
| 1
| 7
| 4
| 5
| 4
| 8
| 0
| 3
| 0
| 3
| 21,010
|
Company Invited
|
Salaried
|
Female
|
Married
|
Executive
|
Basic
|
29
| 1
| 16
| 2
| 4
| 3
| 2
| 0
| 4
| 1
| 0
| 21,623
|
Company Invited
|
Salaried
|
Female
|
Unmarried
|
Executive
|
Basic
|
41
| 3
| 16
| 2
| 3
| 3
| 1
| 0
| 1
| 0
| 1
| 21,230
|
Company Invited
|
Salaried
|
Male
|
Single
|
Manager
|
Deluxe
|
43
| 1
| 36
| 3
| 6
| 3
| 6
| 0
| 3
| 1
| 1
| 22,950
|
Self Enquiry
|
Small Business
|
Male
|
Unmarried
|
Manager
|
Deluxe
|
35
| 3
| 13
| 3
| 6
| 3
| 2
| 0
| 4
| 0
| 2
| 21,029
|
Company Invited
|
Small Business
|
Female
|
Married
|
Executive
|
Basic
|
41
| 3
| 12
| 3
| 3
| 3
| 4
| 1
| 1
| 0
| 0
| 28,591
|
Self Enquiry
|
Salaried
|
Female
|
Single
|
Senior Manager
|
Standard
|
33
| 1
| 6
| 2
| 4
| 3
| 1
| 0
| 4
| 0
| 0
| 21,949
|
Self Enquiry
|
Salaried
|
Female
|
Unmarried
|
Manager
|
Deluxe
|
40
| 1
| 15
| 2
| 3
| 3
| 1
| 0
| 4
| 0
| 0
| 28,499
|
Company Invited
|
Small Business
|
Female
|
Unmarried
|
Senior Manager
|
Standard
|
26
| 1
| 9
| 3
| 3
| 5
| 1
| 0
| 3
| 0
| 1
| 18,102
|
Company Invited
|
Large Business
|
Male
|
Single
|
Executive
|
Basic
|
41
| 1
| 25
| 2
| 3
| 5
| 3
| 0
| 1
| 0
| 0
| 18,072
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
37
| 1
| 17
| 2
| 3
| 3
| 2
| 1
| 3
| 0
| 1
| 27,185
|
Company Invited
|
Salaried
|
Male
|
Married
|
Senior Manager
|
Standard
|
31
| 3
| 13
| 2
| 4
| 3
| 4
| 0
| 4
| 1
| 1
| 17,329
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
45
| 3
| 8
| 3
| 6
| 4
| 8
| 0
| 3
| 0
| 2
| 21,040
|
Self Enquiry
|
Salaried
|
Male
|
Single
|
Manager
|
Deluxe
|
33
| 1
| 9
| 3
| 3
| 5
| 2
| 1
| 5
| 1
| 2
| 18,348
|
Company Invited
|
Salaried
|
Male
|
Single
|
Executive
|
Basic
|
33
| 1
| 9
| 4
| 4
| 4
| 3
| 0
| 4
| 0
| 1
| 21,048
|
Self Enquiry
|
Small Business
|
Female
|
Divorced
|
Executive
|
Basic
|
33
| 1
| 14
| 3
| 3
| 3
| 3
| 1
| 3
| 0
| 2
| 21,388
|
Self Enquiry
|
Salaried
|
Male
|
Unmarried
|
Manager
|
Deluxe
|
30
| 3
| 18
| 2
| 3
| 3
| 1
| 0
| 2
| 1
| 0
| 21,577
|
Self Enquiry
|
Large Business
|
Female
|
Unmarried
|
Manager
|
Deluxe
|
42
| 1
| 25
| 2
| 2
| 3
| 7
| 1
| 3
| 1
| 1
| 17,759
|
Company Invited
|
Small Business
|
Male
|
Married
|
Executive
|
Basic
|
46
| 1
| 8
| 2
| 3
| 3
| 7
| 0
| 5
| 1
| 0
| 32,861
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
AVP
|
Super Deluxe
|
51
| 1
| 16
| 4
| 4
| 3
| 6
| 0
| 5
| 1
| 3
| 21,058
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
30
| 1
| 8
| 2
| 5
| 3
| 3
| 0
| 1
| 1
| 0
| 21,091
|
Self Enquiry
|
Salaried
|
Female
|
Single
|
Manager
|
Deluxe
|
37
| 1
| 25
| 3
| 3
| 3
| 6
| 0
| 5
| 0
| 1
| 22,366
|
Company Invited
|
Salaried
|
Male
|
Divorced
|
Executive
|
Basic
|
28
| 2
| 6
| 2
| 3
| 3
| 2
| 0
| 4
| 0
| 1
| 17,706
|
Company Invited
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
42
| 1
| 12
| 2
| 3
| 5
| 1
| 0
| 3
| 1
| 0
| 28,348
|
Self Enquiry
|
Small Business
|
Male
|
Married
|
Senior Manager
|
Standard
|
44
| 1
| 10
| 2
| 3
| 4
| 1
| 0
| 2
| 1
| 0
| 20,933
|
Self Enquiry
|
Small Business
|
Male
|
Single
|
Manager
|
Deluxe
|
39
| 1
| 9
| 3
| 5
| 4
| 3
| 0
| 1
| 1
| 1
| 21,118
|
Company Invited
|
Small Business
|
Female
|
Single
|
Executive
|
Basic
|
42
| 1
| 23
| 2
| 2
| 5
| 4
| 1
| 2
| 0
| 0
| 21,545
|
Self Enquiry
|
Salaried
|
Female
|
Unmarried
|
Manager
|
Deluxe
|
39
| 1
| 28
| 2
| 3
| 5
| 2
| 1
| 5
| 1
| 1
| 25,880
|
Company Invited
|
Small Business
|
Female
|
Unmarried
|
Senior Manager
|
Standard
|
28
| 1
| 6
| 2
| 5
| 3
| 1
| 0
| 3
| 1
| 0
| 21,674
|
Company Invited
|
Salaried
|
Female
|
Divorced
|
Manager
|
Deluxe
|
43
| 1
| 20
| 3
| 3
| 5
| 7
| 0
| 5
| 1
| 1
| 32,159
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
AVP
|
Super Deluxe
|
45
| 1
| 22
| 4
| 4
| 3
| 3
| 0
| 3
| 0
| 2
| 26,656
|
Self Enquiry
|
Small Business
|
Female
|
Divorced
|
Senior Manager
|
Standard
|
53
| 1
| 13
| 4
| 4
| 5
| 5
| 1
| 4
| 1
| 2
| 24,255
|
Self Enquiry
|
Large Business
|
Male
|
Married
|
Manager
|
Deluxe
|
42
| 1
| 16
| 4
| 4
| 5
| 4
| 0
| 1
| 0
| 1
| 20,916
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
36
| 1
| 33
| 3
| 3
| 3
| 7
| 0
| 3
| 1
| 0
| 20,237
|
Self Enquiry
|
Small Business
|
Male
|
Divorced
|
Manager
|
Deluxe
|
22
| 1
| 7
| 4
| 5
| 4
| 3
| 1
| 5
| 0
| 3
| 20,748
|
Self Enquiry
|
Large Business
|
Female
|
Single
|
Executive
|
Basic
|
37
| 1
| 12
| 4
| 4
| 4
| 2
| 0
| 2
| 0
| 3
| 24,592
|
Self Enquiry
|
Salaried
|
Male
|
Unmarried
|
Manager
|
Deluxe
|
30
| 3
| 20
| 3
| 4
| 4
| 7
| 0
| 3
| 0
| 2
| 24,443
|
Company Invited
|
Large Business
|
Female
|
Unmarried
|
Manager
|
Deluxe
|
36
| 1
| 18
| 4
| 5
| 5
| 4
| 1
| 5
| 1
| 3
| 28,562
|
Company Invited
|
Small Business
|
Male
|
Married
|
Senior Manager
|
Standard
|
40
| 1
| 10
| 2
| 3
| 3
| 2
| 0
| 5
| 0
| 1
| 34,033
|
Self Enquiry
|
Small Business
|
Female
|
Divorced
|
VP
|
King
|
51
| 1
| 14
| 2
| 5
| 3
| 3
| 0
| 2
| 0
| 1
| 25,650
|
Company Invited
|
Salaried
|
Male
|
Unmarried
|
Senior Manager
|
Standard
|
39
| 3
| 7
| 3
| 5
| 5
| 6
| 0
| 3
| 0
| 2
| 21,536
|
Self Enquiry
|
Salaried
|
Male
|
Unmarried
|
Executive
|
Basic
|
43
| 1
| 18
| 2
| 4
| 4
| 2
| 0
| 3
| 0
| 1
| 29,336
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
AVP
|
Super Deluxe
|
35
| 1
| 10
| 3
| 3
| 3
| 2
| 0
| 4
| 0
| 0
| 16,951
|
Self Enquiry
|
Salaried
|
Male
|
Married
|
Executive
|
Basic
|
40
| 1
| 9
| 4
| 4
| 3
| 2
| 0
| 2
| 1
| 2
| 29,616
|
Company Invited
|
Large Business
|
Female
|
Single
|
Senior Manager
|
Standard
|
27
| 3
| 17
| 3
| 4
| 3
| 3
| 0
| 1
| 0
| 1
| 23,362
|
Self Enquiry
|
Small Business
|
Male
|
Unmarried
|
Manager
|
Deluxe
|
26
| 1
| 8
| 2
| 3
| 5
| 7
| 1
| 5
| 1
| 0
| 17,042
|
Company Invited
|
Salaried
|
Male
|
Divorced
|
Executive
|
Basic
|
43
| 3
| 32
| 3
| 3
| 3
| 2
| 1
| 2
| 0
| 0
| 31,959
|
Company Invited
|
Salaried
|
Male
|
Divorced
|
AVP
|
Super Deluxe
|
32
| 1
| 18
| 4
| 4
| 5
| 3
| 1
| 2
| 0
| 3
| 25,511
|
Self Enquiry
|
Small Business
|
Male
|
Divorced
|
Manager
|
Deluxe
|
35
| 1
| 12
| 3
| 5
| 5
| 4
| 0
| 2
| 0
| 1
| 30,309
|
Self Enquiry
|
Small Business
|
Female
|
Single
|
Senior Manager
|
Standard
|
34
| 1
| 11
| 3
| 5
| 4
| 8
| 0
| 4
| 0
| 2
| 21,300
|
Self Enquiry
|
Small Business
|
Female
|
Married
|
Executive
|
Basic
|
31
| 1
| 14
| 2
| 4
| 4
| 2
| 0
| 4
| 0
| 1
| 16,261
|
Self Enquiry
|
Salaried
|
Female
|
Single
|
Executive
|
Basic
|
35
| 3
| 16
| 4
| 4
| 3
| 3
| 0
| 1
| 0
| 1
| 24,392
|
Self Enquiry
|
Salaried
|
Female
|
Married
|
Manager
|
Deluxe
|
42
| 3
| 16
| 3
| 6
| 3
| 2
| 0
| 5
| 1
| 2
| 24,829
|
Company Invited
|
Salaried
|
Male
|
Married
|
AVP
|
Super Deluxe
|
34
| 1
| 14
| 2
| 3
| 5
| 4
| 0
| 5
| 1
| 1
| 20,121
|
Self Enquiry
|
Salaried
|
Female
|
Married
|
Manager
|
Deluxe
|
34
| 1
| 9
| 3
| 4
| 5
| 2
| 0
| 3
| 1
| 1
| 21,385
|
Self Enquiry
|
Salaried
|
Female
|
Divorced
|
Executive
|
Basic
|
34
| 1
| 13
| 2
| 3
| 4
| 1
| 0
| 3
| 1
| 0
| 26,994
|
Self Enquiry
|
Salaried
|
Female
|
Unmarried
|
Senior Manager
|
Standard
|
39
| 1
| 36
| 3
| 4
| 3
| 5
| 0
| 2
| 0
| 2
| 24,939
|
Self Enquiry
|
Large Business
|
Male
|
Divorced
|
Manager
|
Deluxe
|
29
| 1
| 12
| 3
| 4
| 3
| 3
| 1
| 1
| 0
| 1
| 22,119
|
Self Enquiry
|
Large Business
|
Male
|
Unmarried
|
Executive
|
Basic
|
35
| 1
| 8
| 2
| 3
| 3
| 3
| 0
| 3
| 0
| 1
| 20,762
|
Company Invited
|
Small Business
|
Male
|
Married
|
Manager
|
Deluxe
|
26
| 3
| 10
| 2
| 4
| 3
| 2
| 1
| 2
| 1
| 1
| 20,828
|
Self Enquiry
|
Small Business
|
Male
|
Single
|
Manager
|
Deluxe
|
37
| 1
| 10
| 3
| 4
| 3
| 7
| 0
| 2
| 1
| 1
| 21,513
|
Self Enquiry
|
Salaried
|
Female
|
Married
|
Executive
|
Basic
|
35
| 1
| 16
| 4
| 4
| 5
| 6
| 0
| 3
| 0
| 2
| 24,024
|
Company Invited
|
Salaried
|
Male
|
Married
|
Manager
|
Deluxe
|
40
| 1
| 9
| 3
| 4
| 3
| 2
| 0
| 3
| 1
| 1
| 30,847
|
Company Invited
|
Salaried
|
Male
|
Married
|
AVP
|
Super Deluxe
|
33
| 3
| 11
| 2
| 3
| 3
| 2
| 1
| 2
| 1
| 0
| 17,851
|
Self Enquiry
|
Small Business
|
Female
|
Single
|
Executive
|
Basic
|
38
| 3
| 15
| 3
| 4
| 4
| 1
| 0
| 4
| 0
| 0
| 17,899
|
Self Enquiry
|
Small Business
|
Male
|
Divorced
|
Executive
|
Basic
|
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