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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 3 new columns ({'ProductPitched', 'CustomerID', 'Unnamed: 0'}) and 1 missing columns ({'Age_Group'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mansoor747/MyToursim/tourism.csv (at revision b9ffcdeeb9c2b737d80deac800d24cd551553fb0), [/tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtest.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtrain.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/tourism.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytest.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytrain.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytrain.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 674, 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
{'ProdTaken': Value('float64'), 'Age': Value('float64'), 'TypeofContact': Value('string'), 'CityTier': Value('float64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('string'), 'Gender': Value('string'), 'NumberOfPersonVisiting': Value('float64'), 'NumberOfFollowups': Value('float64'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('string'), 'NumberOfTrips': Value('float64'), 'Passport': Value('float64'), 'PitchSatisfactionScore': Value('float64'), 'OwnCar': Value('float64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('string'), 'MonthlyIncome': Value('float64'), 'Age_Group': 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 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 3 new columns ({'ProductPitched', 'CustomerID', 'Unnamed: 0'}) and 1 missing columns ({'Age_Group'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Mansoor747/MyToursim/tourism.csv (at revision b9ffcdeeb9c2b737d80deac800d24cd551553fb0), [/tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtest.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtest.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtrain.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/Xtrain.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/tourism.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/tourism.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytest.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytest.csv), /tmp/hf-datasets-cache/medium/datasets/52221377271344-config-parquet-and-info-Mansoor747-MyToursim-9bd49298/hub/datasets--Mansoor747--MyToursim/snapshots/b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytrain.csv (origin=hf://datasets/Mansoor747/MyToursim@b9ffcdeeb9c2b737d80deac800d24cd551553fb0/ytrain.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.
ProdTaken float64 | Age float64 | TypeofContact string | CityTier float64 | DurationOfPitch float64 | Occupation string | Gender string | NumberOfPersonVisiting float64 | NumberOfFollowups float64 | PreferredPropertyStar float64 | MaritalStatus string | NumberOfTrips float64 | Passport float64 | PitchSatisfactionScore float64 | OwnCar float64 | NumberOfChildrenVisiting float64 | Designation string | MonthlyIncome float64 | Age_Group string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 44 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 1.5 | 3 | Married | 2 | 1 | 4 | 1 | 0 | Senior Manager | 22,879 | Adult |
0 | 35 | Self Enquiry | 3 | 20 | Small Business | Male | 3 | 4 | 3 | Married | 3 | 0 | 1 | 1 | 2 | Senior Manager | 27,306 | Young Adult |
0 | 47 | Self Enquiry | 3 | 7 | Small Business | Female | 4 | 4 | 5 | Married | 3 | 0 | 2 | 1 | 2 | Senior Manager | 29,131 | Middle Aged |
0 | 32 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 3 | 4 | Married | 2 | 0 | 3 | 1 | 0 | Manager | 21,220 | Young Adult |
0 | 59 | Self Enquiry | 1 | 9 | Large Business | Male | 3 | 4 | 3 | Single | 6 | 0 | 2 | 1 | 2 | Executive | 21,157 | Middle Aged |
0 | 44 | Self Enquiry | 3 | 11 | Small Business | Male | 2 | 3 | 4 | Divorced | 1 | 0 | 5 | 1 | 1 | VP | 32,126 | Adult |
0 | 32 | Self Enquiry | 1 | 35 | Salaried | Female | 2 | 4 | 4 | Single | 2 | 0 | 3 | 1 | 0 | Executive | 17,837 | Young Adult |
0 | 27 | Self Enquiry | 3 | 7 | Salaried | Male | 3 | 4 | 3 | Married | 3 | 0 | 5 | 0 | 2 | Manager | 23,974 | Young Adult |
0 | 38 | Company Invited | 3 | 8 | Salaried | Male | 2 | 4 | 3 | Divorced | 4 | 0 | 5 | 1 | 1 | Manager | 20,249 | Adult |
0 | 32 | Self Enquiry | 1 | 12 | Large Business | Male | 3 | 4 | 3 | Married | 2 | 1 | 4 | 1 | 1 | Executive | 23,499 | Young Adult |
0 | 40 | Self Enquiry | 1 | 30 | Large Business | Male | 3 | 3 | 3 | Married | 2 | 0 | 3 | 1 | 1 | Manager | 18,319 | Adult |
0 | 38 | Self Enquiry | 1 | 20 | Small Business | Male | 3 | 4 | 3 | Married | 3 | 0 | 1 | 0 | 1 | Manager | 22,963 | Adult |
0 | 35 | Company Invited | 3 | 6 | Small Business | Fe Male | 3 | 3 | 3 | Unmarried | 2 | 0 | 5 | 1 | 0 | Senior Manager | 23,789 | Young Adult |
0 | 35 | Self Enquiry | 1 | 8 | Salaried | Female | 3 | 3 | 5 | Married | 2 | 1 | 1 | 1 | 1 | Executive | 17,074 | Young Adult |
0 | 34 | Self Enquiry | 1 | 17 | Small Business | Male | 3 | 5.5 | 3 | Married | 2 | 0 | 5 | 0 | 1 | Executive | 22,086 | Young Adult |
0 | 33 | Self Enquiry | 1 | 36 | Salaried | Female | 3 | 5 | 4 | Unmarried | 3 | 0 | 3 | 1 | 1 | Executive | 21,515 | Young Adult |
0 | 51 | Self Enquiry | 1 | 15 | Salaried | Male | 3 | 3 | 3 | Divorced | 4 | 0 | 3 | 1 | 0 | Executive | 17,075 | Middle Aged |
0 | 29 | Company Invited | 3 | 30 | Large Business | Male | 2 | 1.5 | 5 | Single | 2 | 0 | 3 | 1 | 1 | Executive | 16,091 | Young Adult |
0 | 34 | Company Invited | 3 | 25 | Small Business | Male | 3 | 2 | 3 | Single | 1 | 1 | 2 | 1 | 2 | Manager | 20,304 | Young Adult |
0 | 38 | Self Enquiry | 1 | 14 | Small Business | Male | 2 | 4 | 3 | Single | 6 | 0 | 2 | 0 | 1 | Senior Manager | 32,126 | Adult |
0 | 46 | Self Enquiry | 1 | 6 | Small Business | Male | 3 | 3 | 5 | Married | 1 | 0 | 2 | 0 | 0 | Senior Manager | 24,396 | Middle Aged |
0 | 54 | Self Enquiry | 2 | 25 | Small Business | Male | 2 | 3 | 4 | Divorced | 3 | 0 | 3 | 1 | 0 | Senior Manager | 25,725 | Middle Aged |
0 | 56 | Self Enquiry | 1 | 15 | Small Business | Male | 2 | 3 | 3 | Married | 1 | 0 | 4 | 0 | 0 | AVP | 26,103 | Middle Aged |
0 | 30 | Company Invited | 1 | 10 | Large Business | Male | 2 | 3 | 3 | Single | 7 | 1 | 4 | 1 | 1 | Executive | 17,285 | Young Adult |
0 | 26 | Self Enquiry | 1 | 6 | Small Business | Male | 3 | 3 | 5 | Single | 1 | 0 | 5 | 1 | 2 | Executive | 17,867 | Young Adult |
0 | 33 | Self Enquiry | 1 | 13 | Small Business | Male | 2 | 3 | 3 | Married | 1 | 0 | 4 | 1 | 0 | Senior Manager | 26,691 | Young Adult |
0 | 24 | Self Enquiry | 1 | 23 | Salaried | Male | 3 | 4 | 4 | Married | 2 | 0 | 3 | 1 | 1 | Executive | 17,127 | Youth |
0 | 30 | Self Enquiry | 1 | 36 | Salaried | Male | 4 | 5.5 | 3 | Married | 2 | 0 | 5 | 1 | 3 | Manager | 25,062 | Young Adult |
0 | 33 | Company Invited | 3 | 8 | Small Business | Female | 3 | 3 | 4 | Single | 1 | 0 | 1 | 0 | 0 | Manager | 20,147 | Young Adult |
0 | 53 | Company Invited | 3 | 8 | Small Business | Female | 2 | 4 | 4 | Married | 3 | 0 | 1 | 1 | 0 | Senior Manager | 22,525 | Middle Aged |
0 | 29 | Company Invited | 3 | 14 | Salaried | Male | 3 | 4 | 5 | Unmarried | 2 | 0 | 3 | 1 | 2 | Manager | 23,576 | Young Adult |
0 | 39 | Self Enquiry | 1 | 15 | Small Business | Male | 2 | 3 | 5 | Married | 2 | 0 | 4 | 1 | 0 | Manager | 20,151 | Adult |
0 | 46 | Self Enquiry | 3 | 9 | Salaried | Male | 4 | 4 | 4 | Married | 2 | 0 | 5 | 1 | 3 | Manager | 23,483 | Middle Aged |
0 | 35 | Self Enquiry | 1 | 14 | Salaried | Female | 3 | 4 | 4 | Single | 2 | 0 | 3 | 1 | 1 | Senior Manager | 30,672 | Young Adult |
0 | 35 | Company Invited | 3 | 9 | Small Business | Female | 4 | 4 | 3 | Married | 7 | 0 | 5 | 0 | 1 | Executive | 20,909 | Young Adult |
0 | 33 | Company Invited | 1 | 7 | Salaried | Female | 4 | 5 | 4 | Married | 7 | 0 | 3 | 0 | 3 | Executive | 21,010 | Young Adult |
0 | 29 | Company Invited | 1 | 16 | Salaried | Female | 2 | 4 | 3 | Unmarried | 2 | 0 | 4 | 1 | 0 | Executive | 21,623 | Young Adult |
0 | 41 | Company Invited | 3 | 16 | Salaried | Male | 2 | 3 | 3 | Single | 1 | 0 | 1 | 0 | 1 | Manager | 21,230 | Adult |
0 | 43 | Self Enquiry | 1 | 36 | Small Business | Male | 3 | 5.5 | 3 | Unmarried | 6 | 0 | 3 | 1 | 1 | Manager | 22,950 | Adult |
0 | 35 | Company Invited | 3 | 13 | Small Business | Female | 3 | 5.5 | 3 | Married | 2 | 0 | 4 | 0 | 2 | Executive | 21,029 | Young Adult |
0 | 41 | Self Enquiry | 3 | 12 | Salaried | Female | 3 | 3 | 3 | Single | 4 | 1 | 1 | 0 | 0 | Senior Manager | 28,591 | Adult |
0 | 33 | Self Enquiry | 1 | 6 | Salaried | Female | 2 | 4 | 3 | Unmarried | 1 | 0 | 4 | 0 | 0 | Manager | 21,949 | Young Adult |
0 | 40 | Company Invited | 1 | 15 | Small Business | Fe Male | 2 | 3 | 3 | Unmarried | 1 | 0 | 4 | 0 | 0 | Senior Manager | 28,499 | Adult |
0 | 26 | Company Invited | 1 | 9 | Large Business | Male | 3 | 3 | 5 | Single | 1 | 0 | 3 | 0 | 1 | Executive | 18,102 | Young Adult |
0 | 41 | Self Enquiry | 1 | 25 | Salaried | Male | 2 | 3 | 5 | Married | 3 | 0 | 1 | 0 | 0 | Manager | 18,072 | Adult |
0 | 37 | Company Invited | 1 | 17 | Salaried | Male | 2 | 3 | 3 | Married | 2 | 1 | 3 | 0 | 1 | Senior Manager | 27,185 | Adult |
0 | 31 | Self Enquiry | 3 | 13 | Salaried | Male | 2 | 4 | 3 | Married | 4 | 0 | 4 | 1 | 1 | Executive | 17,329 | Young Adult |
0 | 45 | Self Enquiry | 3 | 8 | Salaried | Male | 3 | 5.5 | 4 | Single | 7 | 0 | 3 | 0 | 2 | Manager | 21,040 | Adult |
0 | 33 | Company Invited | 1 | 9 | Salaried | Male | 3 | 3 | 5 | Single | 2 | 1 | 5 | 1 | 2 | Executive | 18,348 | Young Adult |
0 | 33 | Self Enquiry | 1 | 9 | Small Business | Female | 4 | 4 | 4 | Divorced | 3 | 0 | 4 | 0 | 1 | Executive | 21,048 | Young Adult |
0 | 33 | Self Enquiry | 1 | 14 | Salaried | Male | 3 | 3 | 3 | Unmarried | 3 | 1 | 3 | 0 | 2 | Manager | 21,388 | Young Adult |
0 | 30 | Self Enquiry | 3 | 18 | Large Business | Female | 2 | 3 | 3 | Unmarried | 1 | 0 | 2 | 1 | 0 | Manager | 21,577 | Young Adult |
0 | 42 | Company Invited | 1 | 25 | Small Business | Male | 2 | 2 | 3 | Married | 7 | 1 | 3 | 1 | 1 | Executive | 17,759 | Adult |
0 | 46 | Self Enquiry | 1 | 8 | Salaried | Male | 2 | 3 | 3 | Married | 7 | 0 | 5 | 1 | 0 | AVP | 32,126 | Middle Aged |
0 | 51 | Self Enquiry | 1 | 16 | Salaried | Male | 4 | 4 | 3 | Married | 6 | 0 | 5 | 1 | 3 | Executive | 21,058 | Middle Aged |
0 | 30 | Self Enquiry | 1 | 8 | Salaried | Female | 2 | 5 | 3 | Single | 3 | 0 | 1 | 1 | 0 | Manager | 21,091 | Young Adult |
0 | 37 | Company Invited | 1 | 25 | Salaried | Male | 3 | 3 | 3 | Divorced | 6 | 0 | 5 | 0 | 1 | Executive | 22,366 | Adult |
0 | 28 | Company Invited | 2 | 6 | Salaried | Male | 2 | 3 | 3 | Married | 2 | 0 | 4 | 0 | 1 | Executive | 17,706 | Young Adult |
0 | 42 | Self Enquiry | 1 | 12 | Small Business | Male | 2 | 3 | 5 | Married | 1 | 0 | 3 | 1 | 0 | Senior Manager | 28,348 | Adult |
0 | 44 | Self Enquiry | 1 | 10 | Small Business | Male | 2 | 3 | 4 | Single | 1 | 0 | 2 | 1 | 0 | Manager | 20,933 | Adult |
0 | 39 | Company Invited | 1 | 9 | Small Business | Female | 3 | 5 | 4 | Single | 3 | 0 | 1 | 1 | 1 | Executive | 21,118 | Adult |
0 | 42 | Self Enquiry | 1 | 23 | Salaried | Female | 2 | 2 | 5 | Unmarried | 4 | 1 | 2 | 0 | 0 | Manager | 21,545 | Adult |
0 | 39 | Company Invited | 1 | 28 | Small Business | Fe Male | 2 | 3 | 5 | Unmarried | 2 | 1 | 5 | 1 | 1 | Senior Manager | 25,880 | Adult |
0 | 28 | Company Invited | 1 | 6 | Salaried | Female | 2 | 5 | 3 | Divorced | 1 | 0 | 3 | 1 | 0 | Manager | 21,674 | Young Adult |
0 | 43 | Self Enquiry | 1 | 20 | Salaried | Male | 3 | 3 | 5 | Married | 7 | 0 | 5 | 1 | 1 | AVP | 32,126 | Adult |
0 | 45 | Self Enquiry | 1 | 22 | Small Business | Female | 4 | 4 | 3 | Divorced | 3 | 0 | 3 | 0 | 2 | Senior Manager | 26,656 | Adult |
0 | 53 | Self Enquiry | 1 | 13 | Large Business | Male | 4 | 4 | 5 | Married | 5 | 1 | 4 | 1 | 2 | Manager | 24,255 | Middle Aged |
0 | 42 | Self Enquiry | 1 | 16 | Salaried | Male | 4 | 4 | 5 | Married | 4 | 0 | 1 | 0 | 1 | Executive | 20,916 | Adult |
0 | 36 | Self Enquiry | 1 | 33 | Small Business | Male | 3 | 3 | 3 | Divorced | 7 | 0 | 3 | 1 | 0 | Manager | 20,237 | Adult |
0 | 22 | Self Enquiry | 1 | 7 | Large Business | Female | 4 | 5 | 4 | Single | 3 | 1 | 5 | 0 | 3 | Executive | 20,748 | Youth |
0 | 37 | Self Enquiry | 1 | 12 | Salaried | Male | 4 | 4 | 4 | Unmarried | 2 | 0 | 2 | 0 | 3 | Manager | 24,592 | Adult |
0 | 30 | Company Invited | 3 | 20 | Large Business | Fe Male | 3 | 4 | 4 | Unmarried | 7 | 0 | 3 | 0 | 2 | Manager | 24,443 | Young Adult |
0 | 36 | Company Invited | 1 | 18 | Small Business | Male | 4 | 5 | 5 | Married | 4 | 1 | 5 | 1 | 3 | Senior Manager | 28,562 | Adult |
0 | 40 | Self Enquiry | 1 | 10 | Small Business | Female | 2 | 3 | 3 | Divorced | 2 | 0 | 5 | 0 | 1 | VP | 32,126 | Adult |
0 | 51 | Company Invited | 1 | 14 | Salaried | Male | 2 | 5 | 3 | Unmarried | 3 | 0 | 2 | 0 | 1 | Senior Manager | 25,650 | Middle Aged |
0 | 39 | Self Enquiry | 3 | 7 | Salaried | Male | 3 | 5 | 5 | Unmarried | 6 | 0 | 3 | 0 | 2 | Executive | 21,536 | Adult |
0 | 43 | Self Enquiry | 1 | 18 | Salaried | Male | 2 | 4 | 4 | Married | 2 | 0 | 3 | 0 | 1 | AVP | 29,336 | Adult |
0 | 35 | Self Enquiry | 1 | 10 | Salaried | Male | 3 | 3 | 3 | Married | 2 | 0 | 4 | 0 | 0 | Executive | 16,951 | Young Adult |
0 | 40 | Company Invited | 1 | 9 | Large Business | Female | 4 | 4 | 3 | Single | 2 | 0 | 2 | 1 | 2 | Senior Manager | 29,616 | Adult |
0 | 27 | Self Enquiry | 3 | 17 | Small Business | Male | 3 | 4 | 3 | Unmarried | 3 | 0 | 1 | 0 | 1 | Manager | 23,362 | Young Adult |
0 | 26 | Company Invited | 1 | 8 | Salaried | Male | 2 | 3 | 5 | Divorced | 7 | 1 | 5 | 1 | 0 | Executive | 17,042 | Young Adult |
0 | 43 | Company Invited | 3 | 32 | Salaried | Male | 3 | 3 | 3 | Divorced | 2 | 1 | 2 | 0 | 0 | AVP | 31,959 | Adult |
0 | 32 | Self Enquiry | 1 | 18 | Small Business | Male | 4 | 4 | 5 | Divorced | 3 | 1 | 2 | 0 | 3 | Manager | 25,511 | Young Adult |
0 | 35 | Self Enquiry | 1 | 12 | Small Business | Female | 3 | 5 | 5 | Single | 4 | 0 | 2 | 0 | 1 | Senior Manager | 30,309 | Young Adult |
0 | 34 | Self Enquiry | 1 | 11 | Small Business | Female | 3 | 5 | 4 | Married | 7 | 0 | 4 | 0 | 2 | Executive | 21,300 | Young Adult |
0 | 31 | Self Enquiry | 1 | 14 | Salaried | Female | 2 | 4 | 4 | Single | 2 | 0 | 4 | 0 | 1 | Executive | 16,261 | Young Adult |
0 | 35 | Self Enquiry | 3 | 16 | Salaried | Female | 4 | 4 | 3 | Married | 3 | 0 | 1 | 0 | 1 | Manager | 24,392 | Young Adult |
0 | 42 | Company Invited | 3 | 16 | Salaried | Male | 3 | 5.5 | 3 | Married | 2 | 0 | 5 | 1 | 2 | AVP | 24,829 | Adult |
0 | 34 | Self Enquiry | 1 | 14 | Salaried | Female | 2 | 3 | 5 | Married | 4 | 0 | 5 | 1 | 1 | Manager | 20,121 | Young Adult |
0 | 34 | Self Enquiry | 1 | 9 | Salaried | Female | 3 | 4 | 5 | Divorced | 2 | 0 | 3 | 1 | 1 | Executive | 21,385 | Young Adult |
0 | 34 | Self Enquiry | 1 | 13 | Salaried | Fe Male | 2 | 3 | 4 | Unmarried | 1 | 0 | 3 | 1 | 0 | Senior Manager | 26,994 | Young Adult |
0 | 39 | Self Enquiry | 1 | 36 | Large Business | Male | 3 | 4 | 3 | Divorced | 5 | 0 | 2 | 0 | 2 | Manager | 24,939 | Adult |
0 | 29 | Self Enquiry | 1 | 12 | Large Business | Male | 3 | 4 | 3 | Unmarried | 3 | 1 | 1 | 0 | 1 | Executive | 22,119 | Young Adult |
0 | 35 | Company Invited | 1 | 8 | Small Business | Male | 2 | 3 | 3 | Married | 3 | 0 | 3 | 0 | 1 | Manager | 20,762 | Young Adult |
0 | 26 | Self Enquiry | 3 | 10 | Small Business | Male | 2 | 4 | 3 | Single | 2 | 1 | 2 | 1 | 1 | Manager | 20,828 | Young Adult |
0 | 37 | Self Enquiry | 1 | 10 | Salaried | Female | 3 | 4 | 3 | Married | 7 | 0 | 2 | 1 | 1 | Executive | 21,513 | Adult |
0 | 35 | Company Invited | 1 | 16 | Salaried | Male | 4 | 4 | 5 | Married | 6 | 0 | 3 | 0 | 2 | Manager | 24,024 | Young Adult |
0 | 40 | Company Invited | 1 | 9 | Salaried | Male | 3 | 4 | 3 | Married | 2 | 0 | 3 | 1 | 1 | AVP | 30,847 | Adult |
0 | 33 | Self Enquiry | 3 | 11 | Small Business | Female | 2 | 3 | 3 | Single | 2 | 1 | 2 | 1 | 0 | Executive | 17,851 | Young Adult |
0 | 38 | Self Enquiry | 3 | 15 | Small Business | Male | 3 | 4 | 4 | Divorced | 1 | 0 | 4 | 0 | 0 | Executive | 17,899 | Adult |
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