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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'}) and 18 missing columns ({'Occupation', 'DurationOfPitch', 'Passport', 'MaritalStatus', 'MonthlyIncome', 'Age', 'ProductPitched', 'OwnCar', 'NumberOfTrips', 'PreferredPropertyStar', 'CityTier', 'NumberOfFollowups', 'NumberOfChildrenVisiting', 'TypeofContact', 'PitchSatisfactionScore', 'Designation', 'Gender', 'NumberOfPersonVisiting'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Enoch1359/Tourism_data/y_train.csv (at revision 18f49fd16bb85c91ac5aa1af879dc7dcb784f8fe)
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
ProdTaken: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
to
{'Age': Value('float64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'MonthlyIncome': Value('float64'), 'TypeofContact': Value('string'), 'Occupation': Value('string'), 'Gender': Value('string'), 'ProductPitched': Value('string'), 'MaritalStatus': Value('string'), 'Designation': 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 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 1 new columns ({'ProdTaken'}) and 18 missing columns ({'Occupation', 'DurationOfPitch', 'Passport', 'MaritalStatus', 'MonthlyIncome', 'Age', 'ProductPitched', 'OwnCar', 'NumberOfTrips', 'PreferredPropertyStar', 'CityTier', 'NumberOfFollowups', 'NumberOfChildrenVisiting', 'TypeofContact', 'PitchSatisfactionScore', 'Designation', 'Gender', 'NumberOfPersonVisiting'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Enoch1359/Tourism_data/y_train.csv (at revision 18f49fd16bb85c91ac5aa1af879dc7dcb784f8fe)
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 | CityTier
int64 | DurationOfPitch
float64 | NumberOfPersonVisiting
int64 | NumberOfFollowups
float64 | PreferredPropertyStar
float64 | NumberOfTrips
float64 | Passport
int64 | PitchSatisfactionScore
int64 | OwnCar
int64 | NumberOfChildrenVisiting
float64 | MonthlyIncome
float64 | TypeofContact
string | Occupation
string | Gender
string | ProductPitched
string | MaritalStatus
string | Designation
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
55
| 1
| 17
| 4
| 4
| 5
| 8
| 1
| 1
| 0
| 1
| 23,118
|
Self Enquiry
|
Small Business
|
Female
|
Deluxe
|
Single
|
Manager
|
39
| 1
| 9
| 3
| 4
| 3
| 7
| 1
| 4
| 0
| 2
| 22,622
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Single
|
Executive
|
42
| 2
| 8
| 3
| 1
| 5
| 1
| 0
| 2
| 0
| 2
| 21,272
|
Company Invited
|
Small Business
|
Male
|
Deluxe
|
Divorced
|
Manager
|
37
| 1
| 12
| 3
| 5
| 5
| 2
| 1
| 2
| 1
| 1
| 98,678
|
Self Enquiry
|
Salaried
|
Female
|
Basic
|
Divorced
|
Executive
|
23
| 1
| 7
| 3
| 5
| 3
| 8
| 0
| 2
| 1
| 1
| 23,453
|
Self Enquiry
|
Salaried
|
Male
|
Deluxe
|
Divorced
|
Manager
|
33
| 1
| 31
| 4
| 4
| 3
| 3
| 0
| 4
| 1
| 1
| 23,987
|
Company Invited
|
Salaried
|
Male
|
Deluxe
|
Divorced
|
Manager
|
38
| 1
| 24
| 2
| 5
| 3
| 4
| 1
| 5
| 0
| 1
| 20,811
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
60
| 1
| 9
| 4
| 5
| 3
| 5
| 1
| 5
| 0
| 3
| 32,404
|
Self Enquiry
|
Salaried
|
Female
|
Super Deluxe
|
Single
|
AVP
|
53
| 3
| 8
| 2
| 4
| 4
| 3
| 0
| 1
| 1
| 0
| 22,525
|
Company Invited
|
Small Business
|
Female
|
Standard
|
Married
|
Senior Manager
|
37
| 1
| 33
| 4
| 4
| 3
| 8
| 0
| 3
| 1
| 1
| 24,025
|
Self Enquiry
|
Salaried
|
Male
|
Deluxe
|
Married
|
Manager
|
60
| 3
| 34
| 3
| 4
| 5
| 5
| 0
| 1
| 1
| 0
| 25,266
|
Company Invited
|
Small Business
|
Female
|
Standard
|
Married
|
Senior Manager
|
43
| 1
| 36
| 3
| 6
| 3
| 6
| 0
| 3
| 1
| 2
| 22,950
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
35
| 1
| 22
| 2
| 1
| 4
| 1
| 0
| 4
| 1
| 1
| 17,426
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Married
|
Executive
|
43
| 1
| 10
| 4
| 2
| 3
| 4
| 1
| 5
| 1
| 1
| 23,909
|
Self Enquiry
|
Salaried
|
Female
|
Deluxe
|
Married
|
Manager
|
52
| 1
| 34
| 2
| 1
| 3
| 3
| 1
| 4
| 0
| 0
| 28,247
|
Company Invited
|
Small Business
|
Female
|
Super Deluxe
|
Divorced
|
AVP
|
59
| 1
| 9
| 3
| 5
| 3
| 2
| 1
| 2
| 0
| 1
| 21,058
|
Company Invited
|
Salaried
|
Male
|
Basic
|
Married
|
Executive
|
36
| 1
| 33
| 3
| 3
| 3
| 7
| 0
| 3
| 1
| 0
| 20,237
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Divorced
|
Manager
|
29
| 1
| 23
| 3
| 4
| 3
| 3
| 0
| 3
| 0
| 1
| 20,822
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
37
| 1
| 16
| 3
| 5
| 4
| 4
| 1
| 4
| 0
| 2
| 27,525
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
38
| 1
| 8
| 2
| 3
| 3
| 1
| 0
| 2
| 0
| 1
| 21,553
|
Self Enquiry
|
Salaried
|
Male
|
Deluxe
|
Divorced
|
Manager
|
31
| 3
| 6
| 2
| 5
| 3
| 2
| 0
| 3
| 1
| 1
| 16,359
|
Company Invited
|
Salaried
|
Female
|
Basic
|
Single
|
Executive
|
46
| 3
| 16
| 4
| 4
| 5
| 6
| 1
| 2
| 1
| 1
| 29,439
|
Self Enquiry
|
Small Business
|
Male
|
Standard
|
Married
|
Senior Manager
|
41
| 3
| 14
| 3
| 4
| 4
| 3
| 0
| 5
| 0
| 1
| 23,339
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
35
| 1
| 13
| 3
| 3
| 4
| 2
| 1
| 3
| 1
| 1
| 20,363
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Single
|
Executive
|
29
| 3
| 16
| 3
| 3
| 3
| 2
| 0
| 4
| 1
| 0
| 17,642
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Single
|
Executive
|
51
| 3
| 27
| 3
| 3
| 3
| 1
| 1
| 5
| 0
| 2
| 20,441
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
39
| 1
| 6
| 2
| 2
| 3
| 1
| 0
| 3
| 1
| 0
| 24,613
|
Self Enquiry
|
Small Business
|
Male
|
Standard
|
Married
|
Senior Manager
|
37
| 3
| 22
| 3
| 4
| 3
| 5
| 0
| 5
| 1
| 2
| 21,334
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
33
| 3
| 23
| 2
| 3
| 3
| 2
| 0
| 3
| 1
| 1
| 32,444
|
Company Invited
|
Salaried
|
Male
|
Super Deluxe
|
Single
|
AVP
|
51
| 3
| 19
| 4
| 4
| 3
| 6
| 0
| 5
| 1
| 3
| 27,886
|
Company Invited
|
Small Business
|
Female
|
Standard
|
Single
|
Senior Manager
|
42
| 1
| 12
| 3
| 2
| 4
| 5
| 0
| 5
| 1
| 1
| 25,548
|
Self Enquiry
|
Salaried
|
Male
|
Deluxe
|
Single
|
Manager
|
33
| 3
| 15
| 4
| 5
| 4
| 3
| 1
| 2
| 1
| 1
| 23,906
|
Self Enquiry
|
Large Business
|
Female
|
Deluxe
|
Divorced
|
Manager
|
30
| 1
| 17
| 4
| 4
| 4
| 2
| 0
| 5
| 1
| 1
| 21,969
|
Company Invited
|
Salaried
|
Female
|
Basic
|
Married
|
Executive
|
41
| 3
| 7
| 3
| 6
| 3
| 4
| 1
| 3
| 1
| 1
| 26,135
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Divorced
|
Manager
|
38
| 1
| 12
| 3
| 2
| 3
| 2
| 0
| 5
| 1
| 1
| 22,178
|
Company Invited
|
Large Business
|
Male
|
Basic
|
Single
|
Executive
|
28
| 3
| 9
| 3
| 6
| 3
| 5
| 0
| 4
| 1
| 2
| 23,749
|
Company Invited
|
Salaried
|
Male
|
Deluxe
|
Single
|
Manager
|
27
| 1
| 24
| 4
| 6
| 3
| 3
| 0
| 3
| 0
| 3
| 20,983
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Married
|
Executive
|
27
| 1
| 11
| 2
| 3
| 4
| 2
| 1
| 3
| 0
| 1
| 17,478
|
Self Enquiry
|
Salaried
|
Female
|
Basic
|
Single
|
Executive
|
24
| 1
| 11
| 3
| 2
| 5
| 4
| 0
| 4
| 0
| 2
| 21,497
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Married
|
Executive
|
34
| 1
| 22
| 3
| 4
| 3
| 2
| 0
| 5
| 1
| 2
| 17,553
|
Company Invited
|
Salaried
|
Female
|
Basic
|
Single
|
Executive
|
37
| 3
| 17
| 3
| 5
| 5
| 2
| 0
| 5
| 0
| 1
| 25,772
|
Self Enquiry
|
Small Business
|
Male
|
Standard
|
Married
|
Senior Manager
|
34
| 1
| 7
| 3
| 4
| 5
| 1
| 0
| 1
| 0
| 0
| 20,343
|
Company Invited
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
30
| 3
| 32
| 2
| 4
| 5
| 6
| 0
| 2
| 0
| 1
| 21,696
|
Company Invited
|
Small Business
|
Female
|
Deluxe
|
Single
|
Manager
|
27
| 1
| 23
| 2
| 3
| 4
| 1
| 1
| 4
| 0
| 0
| 18,058
|
Self Enquiry
|
Large Business
|
Male
|
Basic
|
Married
|
Executive
|
36
| 1
| 9
| 3
| 5
| 4
| 4
| 0
| 4
| 1
| 1
| 28,952
|
Self Enquiry
|
Salaried
|
Male
|
Standard
|
Married
|
Senior Manager
|
40
| 1
| 30
| 3
| 3
| 3
| 2
| 0
| 3
| 1
| 1
| 18,319
|
Self Enquiry
|
Large Business
|
Male
|
Deluxe
|
Married
|
Manager
|
38
| 1
| 7
| 3
| 4
| 3
| 6
| 0
| 5
| 1
| 2
| 26,169
|
Self Enquiry
|
Large Business
|
Female
|
Standard
|
Single
|
Senior Manager
|
33
| 3
| 9
| 3
| 5
| 4
| 2
| 1
| 1
| 1
| 1
| 28,585
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
30
| 1
| 16
| 2
| 5
| 3
| 2
| 0
| 1
| 1
| 1
| 22,661
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Single
|
Executive
|
52
| 1
| 6
| 3
| 3
| 3
| 3
| 0
| 1
| 1
| 2
| 32,099
|
Self Enquiry
|
Salaried
|
Male
|
Super Deluxe
|
Married
|
AVP
|
33
| 3
| 7
| 3
| 6
| 4
| 8
| 0
| 3
| 0
| 2
| 25,413
|
Self Enquiry
|
Salaried
|
Male
|
Deluxe
|
Single
|
Manager
|
20
| 1
| 17
| 4
| 5
| 4
| 3
| 1
| 5
| 0
| 3
| 20,537
|
Company Invited
|
Small Business
|
Female
|
Basic
|
Single
|
Executive
|
38
| 1
| 29
| 2
| 4
| 3
| 1
| 0
| 3
| 0
| 0
| 24,526
|
Company Invited
|
Salaried
|
Male
|
Standard
|
Single
|
Senior Manager
|
31
| 1
| 17
| 2
| 3
| 3
| 4
| 1
| 3
| 0
| 0
| 17,356
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Married
|
Executive
|
52
| 1
| 11
| 3
| 4
| 3
| 2
| 1
| 2
| 1
| 2
| 21,139
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Divorced
|
Executive
|
39
| 1
| 10
| 3
| 4
| 3
| 5
| 1
| 5
| 1
| 1
| 22,995
|
Self Enquiry
|
Large Business
|
Female
|
Deluxe
|
Single
|
Manager
|
40
| 3
| 11
| 3
| 5
| 3
| 6
| 0
| 5
| 1
| 2
| 24,580
|
Self Enquiry
|
Salaried
|
Female
|
Deluxe
|
Married
|
Manager
|
26
| 1
| 26
| 4
| 4
| 3
| 5
| 0
| 5
| 1
| 3
| 22,347
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Divorced
|
Executive
|
47
| 3
| 15
| 2
| 5
| 3
| 1
| 0
| 5
| 1
| 1
| 27,936
|
Company Invited
|
Salaried
|
Male
|
Super Deluxe
|
Married
|
AVP
|
28
| 3
| 16
| 3
| 3
| 4
| 2
| 0
| 5
| 0
| 2
| 16,052
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Married
|
Executive
|
19
| 1
| 15
| 4
| 4
| 3
| 3
| 0
| 5
| 0
| 1
| 20,582
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
52
| 3
| 9
| 2
| 4
| 5
| 2
| 0
| 5
| 1
| 0
| 31,856
|
Self Enquiry
|
Small Business
|
Male
|
Super Deluxe
|
Married
|
AVP
|
20
| 3
| 7
| 4
| 6
| 5
| 2
| 0
| 3
| 1
| 2
| 21,003
|
Company Invited
|
Large Business
|
Female
|
Basic
|
Single
|
Executive
|
43
| 3
| 15
| 3
| 4
| 4
| 2
| 0
| 3
| 0
| 2
| 25,503
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Divorced
|
Manager
|
30
| 1
| 8
| 4
| 4
| 3
| 3
| 0
| 1
| 1
| 3
| 22,438
|
Self Enquiry
|
Salaried
|
Female
|
Basic
|
Married
|
Executive
|
51
| 3
| 7
| 4
| 4
| 3
| 2
| 0
| 3
| 1
| 2
| 25,406
|
Company Invited
|
Salaried
|
Male
|
Deluxe
|
Married
|
Manager
|
41
| 1
| 16
| 4
| 5
| 3
| 2
| 0
| 5
| 0
| 2
| 23,554
|
Company Invited
|
Salaried
|
Male
|
Deluxe
|
Married
|
Manager
|
33
| 3
| 15
| 3
| 4
| 3
| 3
| 0
| 4
| 1
| 2
| 27,676
|
Company Invited
|
Small Business
|
Female
|
Standard
|
Single
|
Senior Manager
|
22
| 3
| 16
| 3
| 4
| 3
| 3
| 0
| 4
| 0
| 1
| 21,288
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
40
| 1
| 16
| 2
| 1
| 3
| 4
| 1
| 3
| 0
| 1
| 17,213
|
Self Enquiry
|
Salaried
|
Female
|
Basic
|
Married
|
Executive
|
53
| 3
| 6
| 2
| 3
| 5
| 1
| 0
| 1
| 1
| 1
| 23,381
|
Self Enquiry
|
Small Business
|
Female
|
Deluxe
|
Single
|
Manager
|
29
| 1
| 9
| 3
| 5
| 5
| 2
| 0
| 4
| 0
| 1
| 21,239
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
44
| 1
| 16
| 4
| 4
| 3
| 5
| 1
| 3
| 1
| 3
| 24,357
|
Company Invited
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
23
| 1
| 13
| 4
| 4
| 3
| 2
| 0
| 2
| 1
| 1
| 21,451
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Divorced
|
Executive
|
43
| 1
| 36
| 3
| 6
| 3
| 6
| 0
| 3
| 1
| 1
| 22,950
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
33
| 3
| 23
| 2
| 3
| 3
| 2
| 0
| 3
| 1
| 0
| 32,444
|
Company Invited
|
Salaried
|
Male
|
Super Deluxe
|
Single
|
AVP
|
37
| 3
| 7
| 3
| 4
| 3
| 6
| 0
| 1
| 1
| 2
| 25,331
|
Company Invited
|
Small Business
|
Female
|
Deluxe
|
Single
|
Manager
|
37
| 1
| 16
| 2
| 1
| 3
| 2
| 1
| 1
| 0
| 1
| 28,744
|
Self Enquiry
|
Salaried
|
Female
|
Standard
|
Married
|
Senior Manager
|
40
| 3
| 10
| 3
| 4
| 3
| 6
| 1
| 4
| 1
| 2
| 23,916
|
Self Enquiry
|
Small Business
|
Female
|
Deluxe
|
Married
|
Manager
|
36
| 1
| 7
| 3
| 2
| 3
| 5
| 0
| 3
| 1
| 2
| 21,184
|
Self Enquiry
|
Salaried
|
Female
|
Basic
|
Single
|
Executive
|
50
| 1
| 23
| 4
| 4
| 5
| 6
| 1
| 1
| 1
| 2
| 21,265
|
Self Enquiry
|
Small Business
|
Female
|
Basic
|
Married
|
Executive
|
21
| 3
| 6
| 3
| 4
| 4
| 2
| 1
| 5
| 1
| 2
| 17,174
|
Company Invited
|
Large Business
|
Female
|
Basic
|
Single
|
Executive
|
28
| 3
| 9
| 4
| 6
| 4
| 4
| 1
| 5
| 1
| 2
| 21,195
|
Self Enquiry
|
Small Business
|
Female
|
King
|
Single
|
VP
|
52
| 1
| 15
| 3
| 5
| 4
| 7
| 0
| 3
| 1
| 2
| 31,168
|
Self Enquiry
|
Salaried
|
Male
|
Standard
|
Divorced
|
Senior Manager
|
40
| 1
| 14
| 3
| 4
| 3
| 2
| 1
| 4
| 1
| 2
| 24,094
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
29
| 1
| 12
| 2
| 3
| 3
| 2
| 0
| 3
| 0
| 1
| 18,131
|
Self Enquiry
|
Small Business
|
Female
|
Basic
|
Married
|
Executive
|
35
| 1
| 17
| 3
| 4
| 5
| 3
| 1
| 5
| 1
| 1
| 24,884
|
Company Invited
|
Small Business
|
Male
|
Standard
|
Divorced
|
Senior Manager
|
38
| 3
| 13
| 4
| 4
| 3
| 6
| 0
| 3
| 1
| 1
| 25,180
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
51
| 1
| 6
| 1
| 4
| 5
| 4
| 0
| 2
| 1
| 0
| 22,484
|
Company Invited
|
Small Business
|
Female
|
Standard
|
Single
|
Senior Manager
|
22
| 3
| 16
| 3
| 4
| 3
| 3
| 0
| 4
| 1
| 1
| 21,288
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
36
| 2
| 19
| 2
| 3
| 4
| 5
| 0
| 3
| 1
| 1
| 17,143
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Married
|
Executive
|
31
| 1
| 17
| 3
| 3
| 5
| 2
| 1
| 1
| 1
| 1
| 21,833
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Married
|
Manager
|
28
| 3
| 16
| 3
| 4
| 3
| 3
| 0
| 1
| 0
| 2
| 22,783
|
Self Enquiry
|
Small Business
|
Male
|
Deluxe
|
Single
|
Manager
|
50
| 1
| 7
| 3
| 5
| 3
| 2
| 1
| 3
| 0
| 1
| 32,642
|
Self Enquiry
|
Large Business
|
Female
|
Super Deluxe
|
Single
|
AVP
|
28
| 1
| 13
| 3
| 5
| 3
| 3
| 0
| 1
| 1
| 2
| 21,217
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Married
|
Executive
|
40
| 1
| 14
| 3
| 3
| 5
| 3
| 1
| 1
| 0
| 0
| 21,516
|
Self Enquiry
|
Salaried
|
Female
|
Deluxe
|
Married
|
Manager
|
29
| 1
| 21
| 2
| 3
| 3
| 2
| 0
| 3
| 0
| 0
| 17,340
|
Self Enquiry
|
Salaried
|
Male
|
Basic
|
Single
|
Executive
|
40
| 1
| 17
| 4
| 4
| 3
| 2
| 0
| 3
| 1
| 1
| 32,142
|
Self Enquiry
|
Small Business
|
Male
|
Standard
|
Single
|
Senior Manager
|
29
| 1
| 7
| 3
| 4
| 3
| 2
| 1
| 4
| 0
| 1
| 20,832
|
Company Invited
|
Small Business
|
Male
|
Basic
|
Single
|
Executive
|
31
| 1
| 8
| 4
| 4
| 4
| 2
| 1
| 4
| 1
| 3
| 22,257
|
Self Enquiry
|
Small Business
|
Male
|
Basic
|
Married
|
Executive
|
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