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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 19 missing columns ({'Occupation', 'NumberOfFollowups', 'Gender', 'ProductPitched', 'Unnamed: 0', 'CityTier', 'MonthlyIncome', 'Age', 'NumberOfPersonVisiting', 'NumberOfTrips', 'OwnCar', 'MaritalStatus', 'PreferredPropertyStar', 'DurationOfPitch', 'PitchSatisfactionScore', 'Passport', 'Designation', 'TypeofContact', 'NumberOfChildrenVisiting'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ShanRaja/Customer-Purchase-Prediction/y_train.csv (at revision ed188348e81eab5099573273a195c103d32fff1a)
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
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
to
{'Unnamed: 0': Value('int64'), 'Age': Value('float64'), 'TypeofContact': Value('string'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('string'), 'Gender': Value('int64'), '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 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'}) and 19 missing columns ({'Occupation', 'NumberOfFollowups', 'Gender', 'ProductPitched', 'Unnamed: 0', 'CityTier', 'MonthlyIncome', 'Age', 'NumberOfPersonVisiting', 'NumberOfTrips', 'OwnCar', 'MaritalStatus', 'PreferredPropertyStar', 'DurationOfPitch', 'PitchSatisfactionScore', 'Passport', 'Designation', 'TypeofContact', 'NumberOfChildrenVisiting'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ShanRaja/Customer-Purchase-Prediction/y_train.csv (at revision ed188348e81eab5099573273a195c103d32fff1a)
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.
Unnamed: 0
int64 | Age
float64 | TypeofContact
string | CityTier
int64 | DurationOfPitch
float64 | Occupation
string | Gender
int64 | NumberOfPersonVisiting
int64 | NumberOfFollowups
float64 | ProductPitched
string | PreferredPropertyStar
float64 | MaritalStatus
string | NumberOfTrips
float64 | Passport
int64 | PitchSatisfactionScore
int64 | OwnCar
int64 | NumberOfChildrenVisiting
float64 | Designation
string | MonthlyIncome
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,473
| 41
|
Company Invited
| 1
| 16
|
Salaried
| 2
| 3
| 4
|
Deluxe
| 3
|
Married
| 5
| 0
| 3
| 1
| 1
|
Manager
| 22,653
|
4,432
| 39
|
Self Enquiry
| 3
| 14
|
Small Business
| 1
| 3
| 5
|
Deluxe
| 3
|
Unmarried
| 2
| 0
| 1
| 1
| 1
|
Manager
| 22,706
|
2,076
| 34
|
Company Invited
| 1
| 22
|
Salaried
| 1
| 3
| 4
|
Basic
| 3
|
Single
| 2
| 0
| 5
| 1
| 2
|
Executive
| 17,553
|
4,728
| 41
|
Self Enquiry
| 1
| 21
|
Small Business
| 2
| 3
| 5
|
King
| 3
|
Single
| 3
| 0
| 3
| 1
| 2
|
VP
| 38,304
|
4,125
| 31
|
Company Invited
| 1
| 7
|
Salaried
| 2
| 3
| 5
|
Standard
| 3
|
Unmarried
| 3
| 0
| 5
| 1
| 2
|
Senior Manager
| 27,152
|
1,541
| 29
|
Self Enquiry
| 1
| 8
|
Salaried
| 2
| 3
| 3
|
Basic
| 4
|
Married
| 1
| 0
| 4
| 1
| 0
|
Executive
| 17,703
|
633
| 36
|
Self Enquiry
| 2
| 14
|
Salaried
| 2
| 3
| 4
|
Basic
| 5
|
Divorced
| 1
| 0
| 2
| 1
| 2
|
Executive
| 17,342
|
549
| 34
|
Self Enquiry
| 1
| 14
|
Small Business
| 1
| 3
| 3
|
Deluxe
| 3
|
Single
| 4
| 0
| 4
| 1
| 1
|
Manager
| 21,142
|
327
| 39
|
Self Enquiry
| 3
| 9
|
Small Business
| 1
| 2
| 3
|
Deluxe
| 3
|
Divorced
| 5
| 1
| 4
| 1
| 1
|
Manager
| 20,238
|
2,778
| 46
|
Self Enquiry
| 1
| 15
|
Salaried
| 2
| 4
| 4
|
Deluxe
| 3
|
Divorced
| 2
| 0
| 3
| 1
| 1
|
Manager
| 22,375
|
1,957
| 20
|
Self Enquiry
| 1
| 6
|
Salaried
| 1
| 2
| 4
|
Basic
| 4
|
Single
| 2
| 0
| 4
| 0
| 1
|
Executive
| 17,836
|
330
| 43
|
Company Invited
| 1
| 16
|
Salaried
| 1
| 2
| 4
|
Deluxe
| 3
|
Married
| 2
| 0
| 3
| 0
| 0
|
Manager
| 20,257
|
63
| 59
|
Self Enquiry
| 3
| 31
|
Salaried
| 1
| 2
| 3
|
Standard
| 5
|
Unmarried
| 1
| 0
| 3
| 1
| 0
|
Senior Manager
| 22,637
|
1,354
| 56
|
Self Enquiry
| 1
| 30
|
Salaried
| 2
| 3
| 3
|
Basic
| 3
|
Single
| 2
| 0
| 3
| 0
| 0
|
Executive
| 17,587
|
1,585
| 37
|
Self Enquiry
| 3
| 9
|
Salaried
| 2
| 2
| 3
|
Standard
| 3
|
Unmarried
| 3
| 0
| 3
| 0
| 1
|
Senior Manager
| 22,428
|
1,956
| 37
|
Self Enquiry
| 3
| 8
|
Small Business
| 2
| 3
| 3
|
Deluxe
| 3
|
Married
| 5
| 1
| 3
| 0
| 2
|
Manager
| 24,602
|
3,901
| 41
|
Self Enquiry
| 1
| 9
|
Small Business
| 1
| 4
| 4
|
Basic
| 3
|
Married
| 4
| 0
| 1
| 1
| 2
|
Executive
| 20,679
|
3,878
| 53
|
Company Invited
| 3
| 127
|
Salaried
| 2
| 3
| 4
|
Basic
| 3
|
Married
| 4
| 0
| 1
| 1
| 2
|
Executive
| 22,160
|
4,016
| 21
|
Company Invited
| 1
| 13
|
Salaried
| 1
| 4
| 5
|
Basic
| 3
|
Unmarried
| 3
| 1
| 1
| 0
| 1
|
Executive
| 21,604
|
721
| 50
|
Self Enquiry
| 1
| 30
|
Salaried
| 2
| 3
| 3
|
Super Deluxe
| 3
|
Divorced
| 4
| 1
| 4
| 0
| 0
|
AVP
| 28,973
|
4,426
| 28
|
Self Enquiry
| 1
| 10
|
Small Business
| 2
| 3
| 5
|
Basic
| 3
|
Single
| 2
| 0
| 1
| 1
| 2
|
Executive
| 20,723
|
4,300
| 38
|
Self Enquiry
| 1
| 21
|
Salaried
| 1
| 4
| 4
|
Basic
| 5
|
Married
| 3
| 0
| 4
| 1
| 2
|
Executive
| 21,712
|
2,680
| 34
|
Self Enquiry
| 1
| 9
|
Salaried
| 1
| 3
| 4
|
Basic
| 5
|
Divorced
| 2
| 0
| 3
| 1
| 1
|
Executive
| 21,385
|
1,105
| 33
|
Self Enquiry
| 3
| 14
|
Salaried
| 2
| 2
| 3
|
Deluxe
| 5
|
Married
| 3
| 0
| 5
| 1
| 0
|
Manager
| 21,392
|
3,668
| 27
|
Self Enquiry
| 1
| 24
|
Small Business
| 2
| 4
| 6
|
Basic
| 3
|
Married
| 3
| 0
| 3
| 0
| 3
|
Executive
| 20,983
|
3,429
| 32
|
Self Enquiry
| 1
| 29
|
Small Business
| 2
| 4
| 4
|
Deluxe
| 3
|
Divorced
| 3
| 1
| 5
| 1
| 1
|
Manager
| 24,857
|
1,624
| 32
|
Company Invited
| 3
| 14
|
Small Business
| 0
| 2
| 3
|
Standard
| 3
|
Unmarried
| 2
| 0
| 4
| 1
| 1
|
Senior Manager
| 23,998
|
4,139
| 60
|
Self Enquiry
| 1
| 10
|
Salaried
| 2
| 4
| 5
|
Basic
| 3
|
Married
| 5
| 0
| 3
| 0
| 1
|
Executive
| 20,855
|
3,827
| 37
|
Company Invited
| 1
| 16
|
Salaried
| 2
| 4
| 2
|
Basic
| 4
|
Married
| 3
| 0
| 5
| 1
| 1
|
Executive
| 21,488
|
4,468
| 28
|
Self Enquiry
| 1
| 14
|
Small Business
| 0
| 3
| 5
|
Deluxe
| 5
|
Unmarried
| 2
| 0
| 3
| 1
| 1
|
Manager
| 25,489
|
2,468
| 35
|
Self Enquiry
| 1
| 13
|
Small Business
| 2
| 3
| 4
|
Basic
| 5
|
Unmarried
| 4
| 0
| 2
| 1
| 2
|
Executive
| 21,638
|
806
| 52
|
Self Enquiry
| 1
| 13
|
Salaried
| 2
| 2
| 3
|
Standard
| 4
|
Unmarried
| 1
| 0
| 3
| 1
| 1
|
Senior Manager
| 25,445
|
769
| 26
|
Company Invited
| 1
| 6
|
Small Business
| 1
| 3
| 4
|
Basic
| 3
|
Married
| 2
| 0
| 2
| 1
| 0
|
Executive
| 17,007
|
4,241
| 40
|
Self Enquiry
| 3
| 10
|
Small Business
| 1
| 3
| 4
|
Deluxe
| 3
|
Married
| 6
| 1
| 4
| 1
| 2
|
Manager
| 23,916
|
3,612
| 25
|
Company Invited
| 1
| 9
|
Large Business
| 1
| 3
| 4
|
Basic
| 3
|
Unmarried
| 3
| 1
| 3
| 1
| 2
|
Executive
| 22,438
|
1,078
| 44
|
Self Enquiry
| 1
| 34
|
Salaried
| 2
| 2
| 3
|
Super Deluxe
| 5
|
Divorced
| 4
| 0
| 1
| 1
| 0
|
AVP
| 31,328
|
1,185
| 43
|
Self Enquiry
| 1
| 21
|
Salaried
| 2
| 3
| 4
|
Super Deluxe
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
AVP
| 32,603
|
42
| 26
|
Self Enquiry
| 1
| 31
|
Salaried
| 2
| 2
| 5
|
Basic
| 3
|
Single
| 2
| 0
| 2
| 1
| 1
|
Executive
| 17,293
|
299
| 51
|
Self Enquiry
| 1
| 8
|
Small Business
| 2
| 2
| 5
|
Deluxe
| 4
|
Married
| 6
| 0
| 2
| 0
| 0
|
Manager
| 20,482
|
2,278
| 29
|
Self Enquiry
| 1
| 34
|
Salaried
| 1
| 3
| 3
|
Basic
| 3
|
Married
| 5
| 0
| 5
| 1
| 0
|
Executive
| 17,514
|
614
| 26
|
Company Invited
| 1
| 11
|
Small Business
| 1
| 2
| 4
|
Basic
| 3
|
Divorced
| 2
| 1
| 2
| 0
| 1
|
Executive
| 17,366
|
3,611
| 36
|
Self Enquiry
| 3
| 22
|
Small Business
| 2
| 3
| 6
|
Deluxe
| 3
|
Married
| 8
| 1
| 1
| 1
| 2
|
Manager
| 24,118
|
4,076
| 29
|
Self Enquiry
| 1
| 28
|
Small Business
| 2
| 3
| 4
|
Basic
| 3
|
Married
| 3
| 0
| 1
| 0
| 1
|
Executive
| 21,391
|
124
| 31
|
Self Enquiry
| 3
| 12
|
Salaried
| 2
| 3
| 5
|
Deluxe
| 3
|
Divorced
| 5
| 1
| 3
| 1
| 1
|
Manager
| 21,172
|
890
| 54
|
Company Invited
| 1
| 6
|
Salaried
| 1
| 2
| 3
|
Standard
| 3
|
Married
| 1
| 0
| 5
| 1
| 1
|
Senior Manager
| 25,502
|
1,392
| 35
|
Self Enquiry
| 3
| 13
|
Salaried
| 1
| 2
| 3
|
Deluxe
| 3
|
Married
| 2
| 1
| 4
| 1
| 1
|
Manager
| 20,204
|
2,877
| 47
|
Self Enquiry
| 3
| 17
|
Small Business
| 1
| 4
| 5
|
Standard
| 3
|
Divorced
| 4
| 1
| 2
| 1
| 2
|
Senior Manager
| 27,749
|
222
| 37
|
Company Invited
| 1
| 17
|
Salaried
| 2
| 2
| 3
|
Standard
| 3
|
Married
| 2
| 1
| 3
| 0
| 1
|
Senior Manager
| 27,185
|
401
| 56
|
Company Invited
| 3
| 12
|
Salaried
| 1
| 2
| 2
|
Super Deluxe
| 5
|
Divorced
| 1
| 0
| 3
| 1
| 0
|
AVP
| 28,212
|
595
| 58
|
Self Enquiry
| 1
| 8
|
Salaried
| 2
| 2
| 3
|
King
| 4
|
Single
| 1
| 1
| 3
| 1
| 1
|
VP
| 34,246
|
3,705
| 39
|
Self Enquiry
| 1
| 25
|
Small Business
| 2
| 3
| 6
|
Deluxe
| 3
|
Married
| 5
| 1
| 5
| 0
| 2
|
Manager
| 24,489
|
4,622
| 37
|
Company Invited
| 3
| 15
|
Large Business
| 2
| 3
| 4
|
Deluxe
| 3
|
Married
| 6
| 0
| 3
| 1
| 2
|
Manager
| 23,757
|
4,675
| 37
|
Self Enquiry
| 1
| 22
|
Salaried
| 2
| 3
| 4
|
Deluxe
| 3
|
Married
| 2
| 0
| 4
| 0
| 2
|
Manager
| 23,512
|
4,188
| 22
|
Self Enquiry
| 1
| 10
|
Small Business
| 2
| 4
| 5
|
Basic
| 3
|
Unmarried
| 3
| 0
| 5
| 1
| 3
|
Executive
| 21,908
|
1,942
| 37
|
Self Enquiry
| 1
| 6
|
Salaried
| 1
| 3
| 3
|
Deluxe
| 4
|
Married
| 7
| 0
| 1
| 1
| 2
|
Manager
| 21,447
|
3,920
| 60
|
Self Enquiry
| 1
| 10
|
Small Business
| 1
| 3
| 2
|
Basic
| 5
|
Married
| 6
| 1
| 1
| 0
| 2
|
Executive
| 21,348
|
3,711
| 35
|
Company Invited
| 3
| 17
|
Salaried
| 2
| 3
| 4
|
Deluxe
| 3
|
Married
| 3
| 1
| 1
| 1
| 2
|
Manager
| 22,679
|
4,568
| 40
|
Self Enquiry
| 2
| 9
|
Salaried
| 1
| 3
| 5
|
Deluxe
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
Manager
| 23,882
|
243
| 40
|
Self Enquiry
| 1
| 30
|
Large Business
| 2
| 3
| 3
|
Deluxe
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
Manager
| 18,319
|
1,706
| 33
|
Self Enquiry
| 1
| 8
|
Salaried
| 1
| 2
| 3
|
Basic
| 5
|
Married
| 1
| 0
| 3
| 1
| 1
|
Executive
| 17,707
|
2,001
| 32
|
Self Enquiry
| 1
| 9
|
Salaried
| 0
| 2
| 3
|
Standard
| 3
|
Unmarried
| 4
| 0
| 1
| 1
| 0
|
Senior Manager
| 26,159
|
2,095
| 45
|
Self Enquiry
| 3
| 15
|
Small Business
| 2
| 3
| 3
|
Standard
| 5
|
Married
| 5
| 1
| 1
| 0
| 0
|
Senior Manager
| 25,761
|
3,396
| 32
|
Company Invited
| 3
| 7
|
Salaried
| 1
| 3
| 4
|
Basic
| 4
|
Single
| 3
| 1
| 5
| 1
| 2
|
Executive
| 20,980
|
116
| 34
|
Self Enquiry
| 1
| 11
|
Small Business
| 0
| 2
| 4
|
Standard
| 5
|
Unmarried
| 3
| 0
| 2
| 0
| 0
|
Senior Manager
| 26,631
|
3,982
| 36
|
Company Invited
| 1
| 7
|
Small Business
| 2
| 4
| 4
|
Basic
| 5
|
Married
| 6
| 0
| 1
| 0
| 2
|
Executive
| 20,872
|
2,346
| 20
|
Self Enquiry
| 3
| 27
|
Small Business
| 2
| 2
| 1
|
Basic
| 3
|
Single
| 2
| 0
| 3
| 1
| 1
|
Executive
| 17,678
|
3,883
| 37
|
Self Enquiry
| 3
| 10
|
Small Business
| 1
| 4
| 5
|
Standard
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
Senior Manager
| 26,322
|
3,267
| 30
|
Company Invited
| 1
| 17
|
Salaried
| 1
| 4
| 4
|
Basic
| 4
|
Married
| 2
| 0
| 5
| 1
| 1
|
Executive
| 21,969
|
3,365
| 29
|
Company Invited
| 1
| 7
|
Small Business
| 2
| 3
| 4
|
Basic
| 3
|
Single
| 2
| 1
| 4
| 0
| 1
|
Executive
| 20,832
|
3,738
| 42
|
Self Enquiry
| 1
| 12
|
Salaried
| 2
| 3
| 2
|
Deluxe
| 4
|
Unmarried
| 5
| 0
| 5
| 1
| 1
|
Manager
| 25,548
|
566
| 47
|
Company Invited
| 3
| 33
|
Salaried
| 1
| 3
| 1
|
Deluxe
| 3
|
Unmarried
| 5
| 1
| 4
| 1
| 2
|
Manager
| 21,397
|
4,399
| 28
|
Self Enquiry
| 1
| 13
|
Small Business
| 1
| 4
| 5
|
Basic
| 3
|
Married
| 2
| 0
| 1
| 0
| 2
|
Executive
| 20,865
|
418
| 26
|
Self Enquiry
| 1
| 29
|
Salaried
| 1
| 2
| 3
|
Basic
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
Executive
| 17,886
|
4,805
| 45
|
Self Enquiry
| 1
| 9
|
Salaried
| 1
| 4
| 2
|
Basic
| 3
|
Married
| 3
| 0
| 4
| 1
| 3
|
Executive
| 20,689
|
3,955
| 28
|
Self Enquiry
| 1
| 9
|
Salaried
| 1
| 3
| 4
|
Basic
| 5
|
Married
| 3
| 0
| 3
| 1
| 2
|
Executive
| 21,019
|
4,545
| 45
|
Self Enquiry
| 1
| 15
|
Salaried
| 2
| 4
| 2
|
Basic
| 3
|
Married
| 4
| 1
| 3
| 1
| 1
|
Executive
| 21,496
|
2,881
| 31
|
Self Enquiry
| 3
| 14
|
Small Business
| 2
| 3
| 4
|
Basic
| 4
|
Unmarried
| 2
| 0
| 2
| 1
| 1
|
Executive
| 21,661
|
4,088
| 46
|
Self Enquiry
| 3
| 11
|
Salaried
| 1
| 2
| 4
|
Deluxe
| 5
|
Married
| 6
| 1
| 4
| 0
| 1
|
Manager
| 23,684
|
2,803
| 37
|
Company Invited
| 3
| 10
|
Small Business
| 2
| 3
| 5
|
Standard
| 3
|
Divorced
| 6
| 0
| 2
| 0
| 2
|
Senior Manager
| 28,377
|
966
| 58
|
Self Enquiry
| 1
| 13
|
Small Business
| 1
| 2
| 4
|
Standard
| 5
|
Divorced
| 1
| 1
| 4
| 1
| 0
|
Senior Manager
| 25,008
|
2,405
| 32
|
Company Invited
| 1
| 9
|
Salaried
| 1
| 2
| 3
|
Basic
| 3
|
Single
| 2
| 0
| 4
| 1
| 0
|
Executive
| 21,209
|
3,922
| 39
|
Company Invited
| 1
| 30
|
Salaried
| 2
| 3
| 5
|
Standard
| 3
|
Unmarried
| 2
| 0
| 3
| 1
| 1
|
Senior Manager
| 28,204
|
378
| 34
|
Company Invited
| 3
| 25
|
Small Business
| 2
| 3
| 2
|
Deluxe
| 3
|
Single
| 1
| 1
| 2
| 1
| 2
|
Manager
| 20,304
|
1,439
| 36
|
Self Enquiry
| 3
| 9
|
Small Business
| 1
| 3
| 4
|
Standard
| 3
|
Married
| 1
| 0
| 3
| 1
| 0
|
Senior Manager
| 22,644
|
3,990
| 36
|
Self Enquiry
| 3
| 7
|
Small Business
| 2
| 3
| 5
|
Deluxe
| 5
|
Unmarried
| 2
| 0
| 1
| 1
| 2
|
Manager
| 22,990
|
3,354
| 24
|
Self Enquiry
| 1
| 7
|
Salaried
| 2
| 3
| 4
|
Basic
| 3
|
Divorced
| 3
| 0
| 4
| 0
| 2
|
Executive
| 19,901
|
4,607
| 37
|
Self Enquiry
| 3
| 10
|
Salaried
| 2
| 3
| 5
|
Standard
| 3
|
Married
| 3
| 1
| 1
| 1
| 1
|
Senior Manager
| 29,003
|
66
| 36
|
Company Invited
| 1
| 17
|
Salaried
| 2
| 3
| 4
|
Deluxe
| 4
|
Unmarried
| 2
| 0
| 4
| 1
| 1
|
Manager
| 21,499
|
3,022
| 39
|
Company Invited
| 1
| 9
|
Salaried
| 0
| 4
| 2
|
Deluxe
| 5
|
Unmarried
| 8
| 1
| 2
| 1
| 3
|
Manager
| 24,658
|
4,887
| 36
|
Self Enquiry
| 1
| 14
|
Salaried
| 2
| 4
| 4
|
Basic
| 4
|
Unmarried
| 3
| 1
| 3
| 1
| 2
|
Executive
| 24,041
|
826
| 38
|
Self Enquiry
| 2
| 6
|
Salaried
| 2
| 2
| 1
|
Basic
| 3
|
Divorced
| 2
| 0
| 4
| 1
| 0
|
Executive
| 17,844
|
2,213
| 59
|
Self Enquiry
| 1
| 8
|
Salaried
| 1
| 3
| 4
|
Super Deluxe
| 3
|
Single
| 4
| 1
| 5
| 1
| 0
|
AVP
| 28,726
|
1,702
| 59
|
Self Enquiry
| 2
| 12
|
Small Business
| 2
| 2
| 3
|
Basic
| 3
|
Married
| 1
| 0
| 4
| 0
| 0
|
Executive
| 17,267
|
585
| 23
|
Self Enquiry
| 1
| 12
|
Salaried
| 2
| 3
| 1
|
Basic
| 5
|
Divorced
| 2
| 1
| 3
| 1
| 2
|
Executive
| 16,601
|
2,965
| 28
|
Company Invited
| 3
| 10
|
Small Business
| 1
| 4
| 3
|
Deluxe
| 3
|
Married
| 3
| 1
| 2
| 1
| 3
|
Manager
| 23,325
|
846
| 35
|
Self Enquiry
| 1
| 8
|
Salaried
| 2
| 2
| 4
|
Standard
| 4
|
Married
| 3
| 0
| 4
| 1
| 0
|
Senior Manager
| 25,274
|
562
| 33
|
Self Enquiry
| 1
| 6
|
Salaried
| 2
| 3
| 3
|
Basic
| 3
|
Single
| 2
| 1
| 3
| 1
| 0
|
Executive
| 17,686
|
2,503
| 38
|
Self Enquiry
| 1
| 7
|
Salaried
| 2
| 3
| 5
|
Deluxe
| 3
|
Married
| 3
| 0
| 5
| 1
| 2
|
Manager
| 24,671
|
220
| 36
|
Self Enquiry
| 1
| 11
|
Salaried
| 2
| 3
| 3
|
Deluxe
| 4
|
Single
| 1
| 0
| 2
| 0
| 2
|
Manager
| 20,914
|
2,834
| 44
|
Self Enquiry
| 1
| 19
|
Salaried
| 2
| 3
| 5
|
Super Deluxe
| 4
|
Married
| 3
| 0
| 3
| 0
| 2
|
AVP
| 33,014
|
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