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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 ({'NumberOfTrips', 'NumberOfPersonVisiting', 'Age', 'Designation', 'MonthlyIncome', 'DurationOfPitch', 'Gender', 'NumberOfChildrenVisiting', 'ProductPitched', 'OwnCar', 'TypeofContact', 'Passport', 'Occupation', 'NumberOfFollowups', 'CityTier', 'MaritalStatus', 'PitchSatisfactionScore', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/rakesh1715/Tourism-Package-Prediction/y_train.csv (at revision 5029fb40405f090ea30b949c44fdb9d9585a42be), [/tmp/hf-datasets-cache/medium/datasets/57379766321693-config-parquet-and-info-rakesh1715-Tourism-Packag-37e37dd5/hub/datasets--rakesh1715--Tourism-Package-Prediction/snapshots/5029fb40405f090ea30b949c44fdb9d9585a42be/X_train.csv (origin=hf://datasets/rakesh1715/Tourism-Package-Prediction@5029fb40405f090ea30b949c44fdb9d9585a42be/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/57379766321693-config-parquet-and-info-rakesh1715-Tourism-Packag-37e37dd5/hub/datasets--rakesh1715--Tourism-Package-Prediction/snapshots/5029fb40405f090ea30b949c44fdb9d9585a42be/y_train.csv (origin=hf://datasets/rakesh1715/Tourism-Package-Prediction@5029fb40405f090ea30b949c44fdb9d9585a42be/y_train.csv)]
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 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
{'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('int64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('int64'), '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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 ({'NumberOfTrips', 'NumberOfPersonVisiting', 'Age', 'Designation', 'MonthlyIncome', 'DurationOfPitch', 'Gender', 'NumberOfChildrenVisiting', 'ProductPitched', 'OwnCar', 'TypeofContact', 'Passport', 'Occupation', 'NumberOfFollowups', 'CityTier', 'MaritalStatus', 'PitchSatisfactionScore', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/rakesh1715/Tourism-Package-Prediction/y_train.csv (at revision 5029fb40405f090ea30b949c44fdb9d9585a42be), [/tmp/hf-datasets-cache/medium/datasets/57379766321693-config-parquet-and-info-rakesh1715-Tourism-Packag-37e37dd5/hub/datasets--rakesh1715--Tourism-Package-Prediction/snapshots/5029fb40405f090ea30b949c44fdb9d9585a42be/X_train.csv (origin=hf://datasets/rakesh1715/Tourism-Package-Prediction@5029fb40405f090ea30b949c44fdb9d9585a42be/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/57379766321693-config-parquet-and-info-rakesh1715-Tourism-Packag-37e37dd5/hub/datasets--rakesh1715--Tourism-Package-Prediction/snapshots/5029fb40405f090ea30b949c44fdb9d9585a42be/y_train.csv (origin=hf://datasets/rakesh1715/Tourism-Package-Prediction@5029fb40405f090ea30b949c44fdb9d9585a42be/y_train.csv)]
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 | TypeofContact string | CityTier int64 | DurationOfPitch float64 | Occupation string | Gender string | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched string | PreferredPropertyStar float64 | MaritalStatus string | NumberOfTrips int64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting int64 | Designation string | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45 | Company Invited | 1 | 30 | Small Business | Male | 4 | 4 | Deluxe | 4 | Married | 6 | 0 | 3 | 0 | 2 | Manager | 20,720 |
31 | Company Invited | 3 | 29 | Salaried | Female | 4 | 4 | Standard | 5 | Divorced | 2 | 0 | 2 | 1 | 1 | Senior Manager | 27,090 |
32 | Self Enquiry | 1 | 14 | Small Business | Female | 3 | 4 | Deluxe | 5 | Married | 3 | 0 | 1 | 1 | 1 | Manager | 22,984 |
50 | Self Enquiry | 3 | 6 | Small Business | Female | 3 | 3 | King | 3 | Married | 4 | 0 | 1 | 1 | 0 | VP | 34,517 |
43 | Self Enquiry | 1 | 9 | Small Business | Female | 3 | 5 | Basic | 5 | Married | 2 | 1 | 4 | 1 | 1 | Executive | 21,271 |
28 | Self Enquiry | 1 | 13 | Salaried | Male | 3 | 5 | Basic | 3 | Divorced | 3 | 0 | 2 | 1 | 2 | Executive | 21,217 |
36 | Self Enquiry | 3 | 8 | Small Business | Male | 3 | 4 | Standard | 3 | Divorced | 2 | 0 | 2 | 1 | 0 | Senior Manager | 22,596 |
44 | Self Enquiry | 1 | 16 | Salaried | Male | 2 | 3 | Deluxe | 3 | Married | 3 | 1 | 3 | 0 | 1 | Manager | 21,465 |
55 | Company Invited | 1 | 24 | Small Business | Male | 3 | 3 | Deluxe | 4 | Married | 4 | 1 | 5 | 1 | 1 | Manager | 21,385 |
36 | Self Enquiry | 2 | 15 | Large Business | Male | 4 | 4 | Basic | 3 | Single | 3 | 0 | 5 | 0 | 2 | Executive | 23,001 |
33 | Self Enquiry | 1 | 9 | Small Business | Male | 3 | 4 | Deluxe | 4 | Married | 6 | 0 | 4 | 1 | 2 | Manager | 23,561 |
35 | Company Invited | 3 | 11 | Small Business | Female | 4 | 4 | Deluxe | 3 | Married | 2 | 0 | 1 | 0 | 1 | Manager | 25,216 |
34 | Self Enquiry | 1 | 15 | Salaried | Male | 4 | 4 | Deluxe | 3 | Single | 4 | 1 | 3 | 0 | 3 | Manager | 25,066 |
39 | Self Enquiry | 1 | 6 | Small Business | Female | 3 | 3 | Basic | 3 | Married | 1 | 0 | 3 | 1 | 0 | Executive | 17,232 |
31 | Self Enquiry | 1 | 6 | Small Business | Male | 2 | 3 | Basic | 4 | Single | 2 | 0 | 3 | 1 | 0 | Executive | 17,501 |
32 | Company Invited | 1 | 10 | Small Business | Male | 4 | 4 | Standard | 3 | Married | 2 | 0 | 4 | 1 | 3 | Senior Manager | 32,353 |
42 | Self Enquiry | 3 | 18 | Small Business | Male | 3 | 3 | Deluxe | 3 | Married | 4 | 1 | 1 | 0 | 0 | Manager | 20,087 |
34 | Company Invited | 3 | 17 | Small Business | Male | 3 | 5 | Deluxe | 3 | Single | 5 | 0 | 3 | 1 | 2 | Manager | 23,360 |
38 | Company Invited | 3 | 16 | Small Business | Male | 4 | 4 | Standard | 4 | Married | 3 | 0 | 2 | 1 | 1 | Senior Manager | 27,512 |
43 | Self Enquiry | 1 | 25 | Salaried | Male | 3 | 4 | Deluxe | 5 | Married | 8 | 1 | 1 | 0 | 1 | Manager | 24,088 |
60 | Self Enquiry | 1 | 9 | Salaried | Female | 4 | 5 | Super Deluxe | 3 | Single | 5 | 1 | 5 | 0 | 3 | AVP | 32,404 |
25 | Self Enquiry | 3 | 10 | Salaried | Female | 4 | 4 | Deluxe | 3 | Single | 2 | 0 | 2 | 1 | 1 | Manager | 23,255 |
50 | Self Enquiry | 1 | 23 | Salaried | Female | 2 | 4 | Standard | 5 | Married | 6 | 0 | 3 | 1 | 0 | Senior Manager | 28,269 |
39 | Company Invited | 1 | 15 | Small Business | Female | 3 | 5 | Deluxe | 4 | Married | 3 | 1 | 1 | 1 | 1 | Manager | 20,811 |
52 | Self Enquiry | 1 | 13 | Salaried | Male | 3 | 4 | King | 3 | Single | 2 | 0 | 5 | 1 | 2 | VP | 38,215 |
31 | Self Enquiry | 1 | 17 | Salaried | Male | 2 | 3 | Basic | 3 | Divorced | 4 | 1 | 3 | 1 | 1 | Executive | 17,356 |
27 | Self Enquiry | 1 | 13 | Salaried | Female | 3 | 5 | Basic | 4 | Divorced | 3 | 0 | 3 | 1 | 1 | Executive | 21,046 |
37 | Self Enquiry | 1 | 13 | Salaried | Male | 3 | 6 | Basic | 3 | Married | 3 | 0 | 2 | 0 | 1 | Executive | 21,419 |
48 | Company Invited | 3 | 16 | Salaried | Male | 3 | 6 | Super Deluxe | 3 | Married | 2 | 0 | 5 | 1 | 2 | AVP | 31,614 |
37 | Self Enquiry | 3 | 8 | Small Business | Male | 3 | 3 | Deluxe | 3 | Married | 5 | 1 | 3 | 0 | 2 | Manager | 24,602 |
39 | Self Enquiry | 2 | 8 | Salaried | Female | 2 | 4 | Deluxe | 3 | Divorced | 1 | 0 | 3 | 0 | 0 | Manager | 20,204 |
46 | Self Enquiry | 1 | 27 | Small Business | Female | 3 | 3 | Deluxe | 4 | Married | 5 | 0 | 3 | 1 | 2 | Manager | 23,926 |
31 | Self Enquiry | 3 | 13 | Salaried | Male | 2 | 4 | Basic | 3 | Divorced | 4 | 0 | 4 | 1 | 1 | Executive | 17,329 |
33 | Self Enquiry | 3 | 31 | Small Business | Male | 2 | 4 | Standard | 4 | Single | 3 | 1 | 5 | 1 | 0 | Senior Manager | 23,380 |
28 | Self Enquiry | 1 | 7 | Salaried | Female | 4 | 4 | Standard | 5 | Divorced | 3 | 0 | 4 | 1 | 3 | Senior Manager | 26,090 |
38 | Self Enquiry | 1 | 16 | Small Business | Female | 2 | 5 | Standard | 3 | Married | 4 | 0 | 1 | 1 | 1 | Senior Manager | 28,206 |
60 | Self Enquiry | 1 | 10 | Small Business | Female | 3 | 2 | Basic | 5 | Married | 6 | 1 | 1 | 0 | 2 | Executive | 21,348 |
37 | Self Enquiry | 3 | 9 | Salaried | Male | 4 | 4 | Basic | 3 | Single | 5 | 1 | 3 | 0 | 1 | Executive | 21,322 |
31 | Self Enquiry | 3 | 19 | Large Business | Female | 3 | 4 | Deluxe | 3 | Single | 2 | 0 | 1 | 1 | 2 | Manager | 25,255 |
36 | Company Invited | 1 | 7 | Small Business | Male | 4 | 4 | Basic | 5 | Divorced | 6 | 0 | 2 | 0 | 2 | Executive | 20,872 |
33 | Self Enquiry | 1 | 31 | Small Business | Male | 2 | 4 | Basic | 4 | Single | 5 | 1 | 4 | 0 | 0 | Executive | 17,313 |
28 | Self Enquiry | 3 | 30 | Small Business | Female | 3 | 5 | Deluxe | 3 | Married | 3 | 0 | 1 | 1 | 2 | Manager | 22,218 |
19 | Company Invited | 1 | 15 | Small Business | Male | 4 | 4 | Basic | 3 | Single | 3 | 0 | 5 | 0 | 1 | Executive | 20,582 |
25 | Self Enquiry | 1 | 36 | Small Business | Male | 4 | 4 | Basic | 5 | Married | 3 | 0 | 4 | 1 | 2 | Executive | 22,585 |
37 | Company Invited | 1 | 25 | Salaried | Male | 3 | 3 | Basic | 3 | Divorced | 6 | 0 | 5 | 0 | 1 | Executive | 22,366 |
35 | Self Enquiry | 1 | 29 | Salaried | Male | 2 | 4 | Deluxe | 3 | Divorced | 4 | 1 | 4 | 1 | 1 | Manager | 20,916 |
59 | Self Enquiry | 1 | 9 | Large Business | Female | 4 | 5 | Standard | 3 | Married | 2 | 0 | 5 | 0 | 1 | Senior Manager | 21,050 |
30 | Self Enquiry | 1 | 28 | Salaried | Female | 2 | 3 | Basic | 3 | Divorced | 5 | 1 | 2 | 0 | 1 | Executive | 17,132 |
39 | Self Enquiry | 1 | 6 | Small Business | Female | 3 | 3 | Basic | 3 | Married | 1 | 0 | 3 | 0 | 1 | Executive | 17,232 |
35 | Company Invited | 3 | 14 | Small Business | Female | 3 | 4 | Standard | 3 | Divorced | 5 | 1 | 5 | 1 | 2 | Senior Manager | 25,377 |
28 | Self Enquiry | 1 | 24 | Large Business | Male | 3 | 4 | Basic | 4 | Married | 2 | 1 | 4 | 0 | 1 | Executive | 21,736 |
49 | Self Enquiry | 3 | 14 | Large Business | Male | 2 | 4 | Super Deluxe | 4 | Divorced | 7 | 0 | 4 | 1 | 0 | AVP | 28,120 |
37 | Self Enquiry | 1 | 11 | Small Business | Male | 3 | 3 | Deluxe | 3 | Married | 1 | 0 | 3 | 1 | 2 | Manager | 21,347 |
40 | Company Invited | 1 | 29 | Small Business | Female | 3 | 4 | Standard | 5 | Single | 3 | 1 | 5 | 1 | 2 | Senior Manager | 29,558 |
48 | Self Enquiry | 1 | 16 | Salaried | Female | 4 | 4 | Basic | 3 | Single | 6 | 0 | 3 | 1 | 1 | Executive | 20,783 |
41 | Self Enquiry | 1 | 9 | Small Business | Female | 3 | 5 | Basic | 3 | Single | 2 | 1 | 3 | 0 | 1 | Executive | 21,020 |
26 | Self Enquiry | 3 | 10 | Salaried | Male | 4 | 4 | Deluxe | 5 | Divorced | 3 | 1 | 4 | 1 | 1 | Manager | 22,872 |
26 | Self Enquiry | 2 | 26 | Small Business | Female | 3 | 3 | Basic | 4 | Married | 1 | 1 | 3 | 0 | 1 | Executive | 17,148 |
33 | Company Invited | 1 | 9 | Salaried | Male | 4 | 4 | Basic | 3 | Single | 2 | 0 | 5 | 1 | 2 | Executive | 21,746 |
35 | Company Invited | 1 | 9 | Salaried | Male | 4 | 4 | Deluxe | 3 | Single | 4 | 0 | 4 | 1 | 3 | Manager | 22,711 |
32 | Self Enquiry | 1 | 15 | Salaried | Female | 3 | 3 | Deluxe | 3 | Divorced | 2 | 1 | 5 | 1 | 2 | Manager | 21,322 |
37 | Self Enquiry | 1 | 19 | Small Business | Female | 3 | 5 | Standard | 3 | Single | 2 | 0 | 1 | 1 | 1 | Senior Manager | 27,536 |
46 | Self Enquiry | 1 | 36 | Large Business | Male | 3 | 4 | Standard | 3 | Divorced | 6 | 1 | 5 | 1 | 1 | Senior Manager | 28,058 |
31 | Self Enquiry | 3 | 13 | Salaried | Male | 2 | 4 | Basic | 3 | Married | 4 | 0 | 4 | 1 | 1 | Executive | 17,329 |
32 | Self Enquiry | 3 | 6 | Small Business | Male | 3 | 4 | Basic | 4 | Married | 1 | 0 | 1 | 0 | 2 | Executive | 17,269 |
45 | Self Enquiry | 1 | 15 | Salaried | Male | 4 | 2 | Basic | 3 | Married | 4 | 1 | 3 | 1 | 1 | Executive | 21,496 |
25 | Self Enquiry | 3 | 11 | Small Business | Male | 2 | 4 | Deluxe | 3 | Single | 2 | 1 | 3 | 0 | 1 | Manager | 20,744 |
53 | Self Enquiry | 1 | 10 | Small Business | Male | 3 | 5 | Standard | 3 | Married | 4 | 1 | 1 | 1 | 1 | Senior Manager | 26,647 |
49 | Self Enquiry | 1 | 11 | Salaried | Male | 4 | 5 | Standard | 3 | Single | 2 | 0 | 5 | 1 | 1 | Senior Manager | 29,677 |
38 | Self Enquiry | 3 | 9 | Salaried | Male | 2 | 3 | Deluxe | 3 | Single | 1 | 1 | 3 | 1 | 1 | Manager | 21,861 |
39 | Self Enquiry | 3 | 11 | Large Business | Male | 2 | 3 | Deluxe | 3 | Divorced | 4 | 0 | 2 | 0 | 1 | Manager | 17,086 |
41 | Self Enquiry | 3 | 23 | Small Business | Male | 4 | 4 | Standard | 3 | Married | 4 | 0 | 5 | 0 | 2 | Senior Manager | 22,222 |
34 | Company Invited | 1 | 22 | Salaried | Female | 3 | 4 | Basic | 3 | Single | 2 | 0 | 5 | 1 | 1 | Executive | 17,553 |
33 | Company Invited | 1 | 6 | Salaried | Female | 3 | 3 | Standard | 3 | Single | 2 | 1 | 1 | 1 | 0 | Senior Manager | 28,458 |
49 | Self Enquiry | 1 | 24 | Salaried | Male | 2 | 4 | King | 3 | Married | 2 | 1 | 3 | 1 | 0 | VP | 34,502 |
32 | Self Enquiry | 1 | 11 | Salaried | Female | 2 | 1 | Basic | 3 | Married | 4 | 0 | 5 | 1 | 1 | Executive | 18,312 |
32 | Company Invited | 1 | 36 | Small Business | Male | 4 | 5 | Basic | 4 | Single | 2 | 0 | 3 | 1 | 3 | Executive | 22,157 |
39 | Self Enquiry | 1 | 36 | Small Business | Male | 4 | 4 | Deluxe | 5 | Divorced | 2 | 1 | 3 | 0 | 2 | Manager | 25,351 |
54 | Company Invited | 2 | 32 | Salaried | Female | 1 | 1 | Super Deluxe | 3 | Single | 3 | 1 | 3 | 1 | 0 | AVP | 32,328 |
45 | Company Invited | 1 | 31 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 5 | 1 | 5 | 0 | 2 | Executive | 21,839 |
32 | Self Enquiry | 3 | 20 | Small Business | Male | 3 | 4 | Deluxe | 5 | Married | 4 | 0 | 1 | 0 | 2 | Manager | 22,911 |
32 | Company Invited | 3 | 11 | Salaried | Male | 2 | 3 | Deluxe | 4 | Divorced | 2 | 0 | 3 | 1 | 1 | Manager | 21,524 |
35 | Company Invited | 1 | 9 | Salaried | Male | 3 | 5 | Deluxe | 3 | Married | 3 | 0 | 4 | 0 | 2 | Manager | 28,225 |
29 | Self Enquiry | 1 | 16 | Salaried | Female | 3 | 4 | Basic | 5 | Single | 7 | 1 | 5 | 1 | 1 | Executive | 17,404 |
31 | Self Enquiry | 1 | 10 | Large Business | Female | 3 | 4 | Basic | 5 | Single | 7 | 1 | 4 | 1 | 2 | Executive | 21,335 |
41 | Self Enquiry | 1 | 11 | Salaried | Male | 2 | 1 | Deluxe | 4 | Single | 4 | 0 | 5 | 1 | 0 | Manager | 21,870 |
46 | Self Enquiry | 1 | 14 | Small Business | Female | 3 | 4 | Basic | 3 | Married | 6 | 1 | 3 | 0 | 2 | Executive | 23,155 |
57 | Self Enquiry | 3 | 18 | Small Business | Female | 3 | 5 | Deluxe | 5 | Married | 6 | 0 | 5 | 0 | 2 | Manager | 24,058 |
43 | Company Invited | 1 | 26 | Small Business | Male | 3 | 3 | Basic | 3 | Married | 8 | 1 | 3 | 1 | 2 | Executive | 21,437 |
49 | Self Enquiry | 1 | 14 | Salaried | Female | 2 | 3 | Standard | 4 | Married | 5 | 0 | 4 | 0 | 1 | Senior Manager | 22,403 |
60 | Self Enquiry | 3 | 22 | Small Business | Male | 2 | 3 | Deluxe | 5 | Single | 1 | 0 | 4 | 1 | 1 | Manager | 20,405 |
30 | Self Enquiry | 3 | 16 | Small Business | Male | 3 | 4 | Deluxe | 3 | Divorced | 2 | 0 | 2 | 1 | 0 | Manager | 21,578 |
37 | Self Enquiry | 1 | 13 | Small Business | Male | 1 | 3 | Standard | 3 | Single | 5 | 0 | 2 | 0 | 0 | Senior Manager | 28,664 |
38 | Self Enquiry | 1 | 10 | Salaried | Male | 3 | 4 | Standard | 3 | Divorced | 3 | 0 | 2 | 1 | 1 | Senior Manager | 28,112 |
42 | Self Enquiry | 3 | 11 | Small Business | Male | 2 | 3 | King | 3 | Married | 7 | 0 | 4 | 0 | 1 | VP | 33,303 |
59 | Self Enquiry | 1 | 30 | Salaried | Male | 3 | 4 | Basic | 3 | Married | 3 | 0 | 3 | 1 | 2 | Executive | 21,050 |
38 | Self Enquiry | 1 | 21 | Salaried | Male | 3 | 4 | Standard | 3 | Married | 1 | 1 | 5 | 1 | 2 | Senior Manager | 26,510 |
51 | Company Invited | 3 | 8 | Small Business | Male | 2 | 3 | Standard | 4 | Divorced | 3 | 0 | 4 | 0 | 0 | Senior Manager | 25,596 |
32 | Self Enquiry | 1 | 14 | Small Business | Female | 3 | 1 | Deluxe | 3 | Divorced | 6 | 0 | 3 | 1 | 2 | Manager | 20,175 |
46 | Company Invited | 3 | 33 | Salaried | Female | 4 | 4 | Deluxe | 5 | Married | 4 | 0 | 1 | 0 | 3 | Manager | 22,964 |
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