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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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