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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/vaishaliagarwal/tourism-prediction-mlops/tourism.csv (at revision 67f154595ae963c88bb0cb70f87f51ccc6ade7ed)
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
Unnamed: 0: int64
CustomerID: int64
ProdTaken: int64
Age: double
TypeofContact: string
CityTier: int64
DurationOfPitch: double
Occupation: string
Gender: string
NumberOfPersonVisiting: int64
NumberOfFollowups: double
ProductPitched: string
PreferredPropertyStar: double
MaritalStatus: string
NumberOfTrips: double
Passport: int64
PitchSatisfactionScore: int64
OwnCar: int64
NumberOfChildrenVisiting: double
Designation: string
MonthlyIncome: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2881
to
{'Unnamed: 0': Value('int64'), 'CustomerID': Value('int64'), 'Age': Value('float64'), 'TypeofContact': Value('string'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('string'), 'Gender': Value('string'), '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 1339, 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 972, 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/vaishaliagarwal/tourism-prediction-mlops/tourism.csv (at revision 67f154595ae963c88bb0cb70f87f51ccc6ade7ed)
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 | CustomerID int64 | Age float64 | TypeofContact string | CityTier int64 | DurationOfPitch float64 | Occupation string | Gender string | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched string | PreferredPropertyStar float64 | MaritalStatus string | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | Designation string | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,273 | 202,273 | 34 | Company Invited | 1 | 9 | Salaried | Male | 2 | 4 | Basic | 3 | Married | 4 | 0 | 1 | 0 | 0 | Executive | 17,979 |
73 | 200,073 | 32 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 3 | Deluxe | 4 | Divorced | 2 | 0 | 3 | 0 | 0 | Manager | 21,220 |
167 | 200,167 | 30 | Self Enquiry | 3 | 11 | Salaried | Female | 2 | 3 | Standard | 3 | Divorced | 3 | 0 | 4 | 1 | 1 | Senior Manager | 24,419 |
4,725 | 204,725 | 39 | Self Enquiry | 3 | 9 | Small Business | Male | 3 | 4 | Standard | 4 | Unmarried | 2 | 0 | 4 | 1 | 2 | Senior Manager | 26,029 |
4,219 | 204,219 | 37 | Company Invited | 1 | 31 | Salaried | Female | 3 | 4 | Deluxe | 4 | Married | 2 | 0 | 3 | 1 | 2 | Manager | 24,352 |
2,620 | 202,620 | 34 | Self Enquiry | 1 | 9 | Salaried | Male | 3 | 4 | Basic | 3 | Single | 2 | 0 | 3 | 0 | 2 | Executive | 21,178 |
3,015 | 203,015 | 27 | Company Invited | 1 | 7 | Salaried | Female | 4 | 6 | Basic | 3 | Married | 5 | 0 | 4 | 1 | 3 | Executive | 23,042 |
1,106 | 201,106 | 30 | Self Enquiry | 3 | 6 | Salaried | Male | 3 | 4 | Deluxe | 5 | Married | 2 | 0 | 4 | 1 | 1 | Manager | 24,714 |
4,541 | 204,541 | 53 | Company Invited | 1 | 32 | Small Business | Female | 3 | 5 | Super Deluxe | 3 | Married | 5 | 0 | 5 | 0 | 2 | AVP | 32,504 |
3,334 | 203,334 | 55 | Company Invited | 1 | 7 | Salaried | Female | 3 | 4 | Standard | 3 | Married | 2 | 0 | 5 | 1 | 2 | Senior Manager | 29,180 |
93 | 200,093 | 46 | Company Invited | 1 | 6 | Small Business | Male | 2 | 4 | Standard | 5 | Divorced | 3 | 1 | 2 | 1 | 1 | Senior Manager | 25,673 |
4,519 | 204,519 | 39 | Company Invited | 1 | 19 | Salaried | Male | 2 | 5 | Deluxe | 5 | Married | 4 | 0 | 5 | 1 | 1 | Manager | 24,966 |
112 | 200,112 | 54 | Company Invited | 2 | 32 | Salaried | Female | 1 | 2 | Super Deluxe | 3 | Single | 3 | 1 | 3 | 1 | 0 | AVP | 32,328 |
1,287 | 201,287 | 42 | Self Enquiry | 1 | 19 | Small Business | Male | 3 | 1 | Deluxe | 5 | Married | 6 | 0 | 4 | 1 | 0 | Manager | 20,538 |
3,583 | 203,583 | 33 | Self Enquiry | 1 | 12 | Salaried | Female | 3 | 2 | Basic | 3 | Married | 5 | 0 | 5 | 1 | 2 | Executive | 21,990 |
1,551 | 201,551 | 35 | Self Enquiry | 1 | 6 | Small Business | Male | 1 | 4 | Basic | 3 | Single | 2 | 0 | 4 | 1 | 0 | Executive | 17,859 |
1,284 | 201,284 | 39 | Self Enquiry | 1 | 16 | Small Business | Male | 3 | 3 | Standard | 3 | Unmarried | 1 | 0 | 3 | 1 | 0 | Senior Manager | 28,464 |
3,232 | 203,232 | 29 | Self Enquiry | 1 | 17 | Salaried | Female | 3 | 4 | Deluxe | 3 | Unmarried | 5 | 0 | 4 | 1 | 2 | Manager | 22,338 |
2,887 | 202,887 | 23 | Company Invited | 1 | 11 | Large Business | Male | 3 | 5 | Basic | 3 | Unmarried | 7 | 0 | 5 | 1 | 1 | Executive | 22,572 |
294 | 200,294 | 37 | Company Invited | 1 | 15 | Small Business | Male | 2 | 3 | Basic | 3 | Divorced | 2 | 1 | 2 | 0 | 0 | Executive | 17,326 |
4,606 | 204,606 | 33 | Self Enquiry | 1 | 10 | Small Business | Female | 4 | 4 | Deluxe | 5 | Married | 3 | 0 | 1 | 1 | 1 | Manager | 25,403 |
4,015 | 204,015 | 33 | Self Enquiry | 1 | 7 | Salaried | Male | 4 | 4 | Basic | 5 | Unmarried | 3 | 0 | 1 | 0 | 2 | Executive | 21,634 |
4,115 | 204,115 | 50 | Company Invited | 1 | 25 | Salaried | Male | 4 | 4 | Deluxe | 3 | Married | 3 | 1 | 1 | 0 | 1 | Manager | 25,482 |
2,067 | 202,067 | 42 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 4 | Deluxe | 3 | Married | 1 | 1 | 3 | 0 | 0 | Manager | 21,062 |
4,801 | 204,801 | 43 | Company Invited | 1 | 33 | Small Business | Female | 3 | 4 | Standard | 5 | Married | 5 | 1 | 3 | 0 | 1 | Senior Manager | 31,869 |
1,383 | 201,383 | 36 | Company Invited | 1 | 15 | Salaried | Male | 3 | 1 | Basic | 4 | Married | 2 | 0 | 5 | 1 | 0 | Executive | 17,810 |
1,350 | 201,350 | 27 | Self Enquiry | 3 | 8 | Small Business | Female | 2 | 1 | Deluxe | 3 | Unmarried | 1 | 0 | 1 | 0 | 1 | Manager | 21,500 |
4,288 | 204,288 | 29 | Self Enquiry | 3 | 16 | Salaried | Male | 4 | 4 | Deluxe | 3 | Unmarried | 3 | 0 | 3 | 1 | 2 | Manager | 23,931 |
2,690 | 202,690 | 34 | Self Enquiry | 1 | 12 | Salaried | Female | 4 | 5 | Basic | 3 | Divorced | 3 | 0 | 2 | 0 | 3 | Executive | 21,589 |
3,576 | 203,576 | 41 | Self Enquiry | 3 | 21 | Salaried | Female | 3 | 4 | Deluxe | 5 | Married | 3 | 0 | 3 | 0 | 2 | Manager | 23,317 |
4,866 | 204,866 | 32 | Self Enquiry | 3 | 20 | Small Business | Male | 4 | 5 | Deluxe | 5 | Married | 7 | 1 | 1 | 1 | 1 | Manager | 20,980 |
1,947 | 201,947 | 50 | Company Invited | 2 | 9 | Small Business | Male | 3 | 3 | King | 4 | Married | 2 | 0 | 1 | 1 | 2 | VP | 33,200 |
1,940 | 201,940 | 24 | Company Invited | 3 | 30 | Small Business | Male | 2 | 3 | Basic | 3 | Married | 1 | 0 | 4 | 1 | 1 | Executive | 17,400 |
4,511 | 204,511 | 43 | Self Enquiry | 1 | 7 | Salaried | Female | 3 | 5 | Deluxe | 3 | Married | 2 | 1 | 3 | 0 | 1 | Manager | 24,740 |
1,148 | 201,148 | 39 | Self Enquiry | 1 | 16 | Small Business | Male | 3 | 3 | Deluxe | 5 | Married | 3 | 0 | 5 | 1 | 2 | Manager | 20,377 |
1,740 | 201,740 | 55 | Self Enquiry | 1 | 6 | Small Business | Male | 2 | 3 | King | 5 | Single | 1 | 1 | 1 | 1 | 1 | VP | 34,045 |
4,849 | 204,849 | 33 | Company Invited | 1 | 10 | Salaried | Fe Male | 3 | 4 | Basic | 3 | Unmarried | 3 | 0 | 4 | 1 | 1 | Executive | 24,887 |
3,699 | 203,699 | 34 | Self Enquiry | 3 | 23 | Salaried | Fe Male | 4 | 4 | Standard | 5 | Unmarried | 4 | 1 | 5 | 0 | 1 | Senior Manager | 27,242 |
4,027 | 204,027 | 25 | Self Enquiry | 1 | 25 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 2 | 0 | 4 | 0 | 1 | Executive | 21,452 |
1,613 | 201,613 | 30 | Self Enquiry | 1 | 24 | Salaried | Female | 3 | 3 | Basic | 3 | Single | 2 | 0 | 1 | 1 | 2 | Executive | 17,632 |
4,206 | 204,206 | 32 | Company Invited | 3 | 12 | Small Business | Female | 3 | 4 | Basic | 4 | Married | 3 | 0 | 3 | 0 | 1 | Executive | 21,467 |
2,757 | 202,757 | 34 | Company Invited | 1 | 12 | Salaried | Female | 4 | 4 | Standard | 4 | Divorced | 8 | 0 | 3 | 1 | 3 | Senior Manager | 30,556 |
2,191 | 202,191 | 50 | Self Enquiry | 1 | 30 | Salaried | Male | 3 | 3 | Super Deluxe | 3 | Married | 4 | 1 | 4 | 1 | 2 | AVP | 28,973 |
673 | 200,673 | 33 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 4 | Basic | 5 | Single | 4 | 1 | 4 | 0 | 0 | Executive | 17,799 |
3,264 | 203,264 | 36 | Company Invited | 3 | 18 | Small Business | Male | 3 | 4 | Deluxe | 3 | Married | 3 | 0 | 5 | 0 | 1 | Manager | 23,646 |
2,645 | 202,645 | 50 | Company Invited | 1 | 25 | Salaried | Male | 4 | 4 | Deluxe | 3 | Married | 3 | 1 | 2 | 0 | 2 | Manager | 25,482 |
3,648 | 203,648 | 49 | Company Invited | 3 | 14 | Small Business | Female | 4 | 4 | Basic | 3 | Married | 4 | 1 | 4 | 1 | 2 | Executive | 21,333 |
3,412 | 203,412 | 37 | Company Invited | 3 | 14 | Small Business | Female | 3 | 2 | Deluxe | 5 | Divorced | 4 | 0 | 1 | 1 | 1 | Manager | 23,317 |
143 | 200,143 | 30 | Self Enquiry | 1 | 24 | Salaried | Female | 3 | 3 | Basic | 3 | Single | 2 | 0 | 2 | 1 | 0 | Executive | 17,632 |
3,867 | 203,867 | 23 | Self Enquiry | 1 | 7 | Salaried | Male | 4 | 4 | Basic | 3 | Unmarried | 2 | 0 | 3 | 0 | 3 | Executive | 22,053 |
1,651 | 201,651 | 34 | Self Enquiry | 1 | 33 | Small Business | Female | 3 | 3 | Basic | 4 | Single | 3 | 0 | 3 | 0 | 0 | Executive | 17,311 |
4,005 | 204,005 | 52 | Self Enquiry | 3 | 28 | Small Business | Male | 4 | 4 | Deluxe | 3 | Unmarried | 2 | 1 | 5 | 0 | 3 | Manager | 24,119 |
3,192 | 203,192 | 27 | Company Invited | 3 | 36 | Small Business | Male | 4 | 6 | Deluxe | 5 | Unmarried | 2 | 0 | 3 | 0 | 1 | Manager | 23,647 |
706 | 200,706 | 40 | Company Invited | 3 | 30 | Salaried | Fe Male | 3 | 1 | Super Deluxe | 4 | Unmarried | 5 | 1 | 3 | 1 | 2 | AVP | 28,194 |
891 | 200,891 | 44 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 1 | Basic | 3 | Divorced | 2 | 0 | 4 | 1 | 0 | Executive | 17,011 |
4,676 | 204,676 | 27 | Company Invited | 1 | 9 | Salaried | Male | 3 | 4 | Basic | 5 | Married | 8 | 1 | 5 | 0 | 1 | Executive | 20,720 |
3,308 | 203,308 | 42 | Company Invited | 1 | 12 | Salaried | Male | 4 | 5 | Basic | 5 | Married | 8 | 0 | 3 | 1 | 1 | Executive | 20,785 |
2,939 | 202,939 | 28 | Self Enquiry | 3 | 9 | Small Business | Male | 3 | 4 | Basic | 5 | Married | 2 | 0 | 5 | 0 | 2 | Executive | 21,719 |
4,588 | 204,588 | 59 | Self Enquiry | 1 | 12 | Large Business | Female | 3 | 5 | Standard | 4 | Married | 4 | 1 | 5 | 1 | 2 | Senior Manager | 29,230 |
3,430 | 203,430 | 40 | Self Enquiry | 3 | 28 | Salaried | Male | 3 | 5 | Deluxe | 3 | Divorced | 5 | 1 | 1 | 0 | 2 | Manager | 24,798 |
3,767 | 203,767 | 29 | Company Invited | 2 | 7 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 3 | 0 | 4 | 0 | 2 | Executive | 21,384 |
3,004 | 203,004 | 35 | Self Enquiry | 1 | 15 | Salaried | Female | 3 | 4 | Deluxe | 5 | Married | 5 | 0 | 5 | 1 | 1 | Manager | 23,799 |
1,039 | 201,039 | 34 | Self Enquiry | 2 | 15 | Large Business | Female | 2 | 3 | Basic | 3 | Divorced | 2 | 0 | 1 | 1 | 0 | Executive | 17,742 |
1,018 | 201,018 | 36 | Self Enquiry | 1 | 10 | Salaried | Male | 2 | 4 | Deluxe | 3 | Single | 2 | 0 | 5 | 1 | 1 | Manager | 20,810 |
147 | 200,147 | 41 | Company Invited | 1 | 16 | Salaried | Male | 3 | 4 | Super Deluxe | 5 | Married | 5 | 0 | 2 | 1 | 0 | AVP | 32,181 |
1,563 | 201,563 | 46 | Company Invited | 1 | 6 | Small Business | Male | 2 | 4 | Standard | 5 | Married | 3 | 1 | 1 | 1 | 1 | Senior Manager | 25,673 |
2,904 | 202,904 | 27 | Self Enquiry | 3 | 36 | Small Business | Male | 3 | 4 | Deluxe | 3 | Married | 7 | 0 | 5 | 1 | 1 | Manager | 22,984 |
4,732 | 204,732 | 32 | Company Invited | 3 | 27 | Salaried | Male | 4 | 2 | Basic | 3 | Married | 2 | 0 | 5 | 1 | 1 | Executive | 21,469 |
3,961 | 203,961 | 38 | Self Enquiry | 1 | 26 | Salaried | Male | 4 | 4 | Basic | 4 | Married | 6 | 0 | 4 | 0 | 2 | Executive | 21,700 |
4,035 | 204,035 | 34 | Company Invited | 3 | 29 | Small Business | Male | 4 | 4 | Deluxe | 4 | Married | 2 | 0 | 1 | 0 | 1 | Manager | 24,824 |
962 | 200,962 | 51 | Self Enquiry | 2 | 11 | Salaried | Male | 2 | 3 | Super Deluxe | 4 | Married | 2 | 1 | 3 | 1 | 1 | AVP | 29,026 |
553 | 200,553 | 40 | Self Enquiry | 1 | 8 | Small Business | Female | 2 | 4 | Basic | 3 | Single | 1 | 1 | 3 | 1 | 1 | Executive | 17,342 |
1,845 | 201,845 | 49 | Self Enquiry | 1 | 13 | Salaried | Male | 2 | 4 | Standard | 3 | Unmarried | 1 | 0 | 1 | 1 | 0 | Senior Manager | 25,965 |
3,765 | 203,765 | 48 | Self Enquiry | 1 | 16 | Salaried | Female | 4 | 4 | Basic | 3 | Single | 6 | 0 | 3 | 1 | 1 | Executive | 20,783 |
1,724 | 201,724 | 29 | Self Enquiry | 3 | 26 | Small Business | Male | 2 | 3 | Deluxe | 3 | Married | 3 | 0 | 1 | 1 | 0 | Manager | 21,931 |
4,384 | 204,384 | 25 | Company Invited | 3 | 31 | Small Business | Male | 3 | 4 | Basic | 3 | Married | 2 | 0 | 4 | 1 | 2 | Executive | 21,078 |
2,340 | 202,340 | 35 | Self Enquiry | 3 | 23 | Salaried | Male | 3 | 3 | Deluxe | 5 | Married | 4 | 1 | 3 | 0 | 2 | Manager | 23,966 |
4,257 | 204,257 | 30 | Self Enquiry | 3 | 17 | Small Business | Female | 3 | 5 | Deluxe | 4 | Married | 3 | 1 | 5 | 1 | 1 | Manager | 26,946 |
1,662 | 201,662 | 35 | Self Enquiry | 1 | 29 | Salaried | Male | 2 | 4 | Deluxe | 3 | Married | 4 | 1 | 4 | 1 | 0 | Manager | 20,916 |
1,847 | 201,847 | 36 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 3 | Basic | 3 | Married | 5 | 0 | 5 | 1 | 0 | Executive | 17,543 |
1,126 | 201,126 | 50 | Self Enquiry | 3 | 5 | Small Business | Male | 2 | 3 | King | 3 | Married | 5 | 1 | 5 | 0 | 1 | VP | 34,331 |
4,689 | 204,689 | 44 | Self Enquiry | 3 | 32 | Small Business | Male | 4 | 5 | Standard | 3 | Married | 7 | 0 | 4 | 1 | 2 | Senior Manager | 29,476 |
811 | 200,811 | 38 | Self Enquiry | 3 | 8 | Small Business | Male | 2 | 3 | Standard | 4 | Unmarried | 1 | 0 | 4 | 1 | 0 | Senior Manager | 22,351 |
3,624 | 203,624 | 37 | Self Enquiry | 1 | 14 | Salaried | Male | 4 | 4 | Basic | 4 | Single | 4 | 0 | 1 | 0 | 3 | Executive | 20,691 |
2,754 | 202,754 | 32 | Self Enquiry | 2 | 9 | Salaried | Male | 4 | 5 | Deluxe | 5 | Divorced | 5 | 0 | 3 | 0 | 2 | Manager | 25,088 |
2,890 | 202,890 | 42 | Company Invited | 3 | 17 | Salaried | Male | 3 | 4 | Deluxe | 3 | Unmarried | 2 | 0 | 2 | 0 | 2 | Manager | 24,908 |
523 | 200,523 | 50 | Self Enquiry | 1 | 34 | Small Business | Male | 3 | 2 | Basic | 3 | Divorced | 2 | 1 | 2 | 1 | 2 | Executive | 18,221 |
4,393 | 204,393 | 25 | Company Invited | 1 | 14 | Salaried | Female | 3 | 4 | Basic | 3 | Married | 3 | 1 | 4 | 0 | 1 | Executive | 21,564 |
853 | 200,853 | 19 | Self Enquiry | 1 | 15 | Salaried | Male | 2 | 3 | Basic | 5 | Single | 2 | 0 | 3 | 0 | 0 | Executive | 17,552 |
4,598 | 204,598 | 41 | Self Enquiry | 3 | 17 | Small Business | Male | 4 | 5 | Standard | 4 | Married | 4 | 0 | 4 | 0 | 1 | Senior Manager | 28,383 |
2,909 | 202,909 | 47 | Company Invited | 1 | 25 | Small Business | Female | 3 | 4 | Standard | 3 | Divorced | 7 | 0 | 3 | 1 | 1 | Senior Manager | 29,205 |
3,123 | 203,123 | 32 | Company Invited | 3 | 27 | Small Business | Female | 3 | 4 | Deluxe | 3 | Divorced | 3 | 0 | 2 | 1 | 1 | Manager | 25,610 |
750 | 200,750 | 44 | Self Enquiry | 3 | 34 | Small Business | Female | 2 | 1 | Super Deluxe | 3 | Divorced | 4 | 1 | 2 | 1 | 1 | AVP | 28,320 |
2,983 | 202,983 | 51 | Self Enquiry | 3 | 15 | Small Business | Male | 3 | 4 | Basic | 4 | Divorced | 2 | 0 | 2 | 1 | 1 | Executive | 22,553 |
2,325 | 202,325 | 37 | Self Enquiry | 1 | 7 | Salaried | Female | 2 | 4 | Deluxe | 3 | Married | 2 | 0 | 1 | 0 | 0 | Manager | 21,474 |
3,552 | 203,552 | 36 | Self Enquiry | 1 | 7 | Small Business | Male | 4 | 5 | Basic | 5 | Single | 3 | 0 | 1 | 0 | 3 | Executive | 21,128 |
2,780 | 202,780 | 30 | Self Enquiry | 1 | 15 | Salaried | Male | 4 | 6 | Basic | 5 | Divorced | 3 | 1 | 3 | 1 | 2 | Executive | 20,797 |
4,586 | 204,586 | 43 | Self Enquiry | 3 | 21 | Small Business | Fe Male | 4 | 5 | Deluxe | 3 | Unmarried | 2 | 0 | 3 | 1 | 1 | Manager | 24,922 |
4,234 | 204,234 | 28 | Self Enquiry | 3 | 9 | Salaried | Male | 4 | 4 | Deluxe | 3 | Unmarried | 3 | 1 | 4 | 0 | 2 | Manager | 23,156 |
4,176 | 204,176 | 33 | Self Enquiry | 1 | 9 | Large Business | Male | 3 | 5 | Deluxe | 5 | Single | 6 | 0 | 4 | 0 | 2 | Manager | 20,854 |
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