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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/sathishaiuse/Tourism-Package/processed/cleaned_tourism.csv (at revision 145ca342f9f8009c6a5eee59279bc4805d9f39db)
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
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, "' + 2647
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('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/sathishaiuse/Tourism-Package/processed/cleaned_tourism.csv (at revision 145ca342f9f8009c6a5eee59279bc4805d9f39db)
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
float64 | Passport
int64 | PitchSatisfactionScore
int64 | OwnCar
int64 | NumberOfChildrenVisiting
float64 | Designation
string | MonthlyIncome
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50
|
Company Invited
| 3
| 14
|
Large Business
|
Male
| 2
| 3
|
Deluxe
| 3
|
Divorced
| 4
| 1
| 5
| 1
| 0
|
Manager
| 21,796
|
35
|
Self Enquiry
| 1
| 15
|
Small Business
|
Male
| 3
| 2
|
Deluxe
| 3
|
Married
| 4
| 0
| 3
| 0
| 2
|
Manager
| 23,082
|
41
|
Company Invited
| 1
| 11
|
Salaried
|
Male
| 3
| 4
|
Basic
| 5
|
Married
| 7
| 0
| 3
| 0
| 1
|
Executive
| 17,107
|
27
|
Self Enquiry
| 3
| 14
|
Small Business
|
Female
| 2
| 3
|
Deluxe
| 4
|
Divorced
| 2
| 0
| 2
| 0
| 0
|
Manager
| 21,214
|
33
|
Company Invited
| 1
| 9
|
Salaried
|
Female
| 2
| 3
|
Basic
| 3
|
Divorced
| 2
| 1
| 5
| 1
| 1
|
Executive
| 17,909
|
35
|
Self Enquiry
| 1
| 9
|
Small Business
|
Female
| 3
| 5
|
Basic
| 5
|
Unmarried
| 3
| 0
| 1
| 1
| 1
|
Executive
| 23,059
|
35
|
Self Enquiry
| 1
| 15
|
Salaried
|
Female
| 3
| 4
|
Deluxe
| 5
|
Married
| 5
| 0
| 5
| 1
| 1
|
Manager
| 23,799
|
46
|
Self Enquiry
| 1
| 9
|
Salaried
|
Female
| 4
| 5
|
Basic
| 3
|
Single
| 3
| 0
| 3
| 1
| 1
|
Executive
| 20,952
|
56
|
Self Enquiry
| 3
| 9
|
Small Business
|
Male
| 3
| 4
|
Deluxe
| 3
|
Unmarried
| 6
| 0
| 1
| 1
| 1
|
Manager
| 23,838
|
31
|
Self Enquiry
| 2
| 8
|
Salaried
|
Male
| 3
| 4
|
Deluxe
| 5
|
Married
| 4
| 0
| 3
| 0
| 2
|
Manager
| 21,410
|
46
|
Self Enquiry
| 1
| 9
|
Salaried
|
Female
| 3
| 5
|
Deluxe
| 3
|
Married
| 3
| 0
| 4
| 1
| 2
|
Manager
| 24,448
|
40
|
Self Enquiry
| 3
| 12
|
Large Business
|
Male
| 3
| 4
|
Deluxe
| 3
|
Divorced
| 5
| 0
| 2
| 0
| 2
|
Manager
| 20,764
|
20
|
Self Enquiry
| 3
| 8
|
Small Business
|
Female
| 2
| 4
|
Basic
| 3
|
Single
| 2
| 0
| 4
| 1
| 0
|
Executive
| 17,044
|
43
|
Self Enquiry
| 1
| 8
|
Small Business
|
Female
| 3
| 1
|
Basic
| 3
|
Married
| 2
| 0
| 1
| 1
| 2
|
Executive
| 17,645
|
33
|
Company Invited
| 1
| 36
|
Small Business
|
Female
| 4
| 4
|
Basic
| 3
|
Unmarried
| 2
| 0
| 3
| 1
| 1
|
Executive
| 22,703
|
31
|
Self Enquiry
| 3
| 9
|
Large Business
|
Male
| 4
| 4
|
Basic
| 4
|
Married
| 3
| 0
| 3
| 1
| 1
|
Executive
| 21,154
|
37
|
Self Enquiry
| 1
| 25
|
Salaried
|
Male
| 2
| 3
|
Deluxe
| 3
|
Married
| 4
| 0
| 1
| 0
| 0
|
Manager
| 20,768
|
59
|
Self Enquiry
| 1
| 8
|
Salaried
|
Female
| 3
| 4
|
Super Deluxe
| 3
|
Single
| 4
| 1
| 5
| 1
| 0
|
AVP
| 28,726
|
41
|
Self Enquiry
| 2
| 6
|
Salaried
|
Male
| 2
| 4
|
King
| 3
|
Married
| 2
| 0
| 1
| 1
| 1
|
VP
| 34,189
|
42
|
Self Enquiry
| 3
| 15
|
Small Business
|
Female
| 3
| 4
|
Deluxe
| 4
|
Married
| 7
| 0
| 3
| 1
| 2
|
Manager
| 23,071
|
26
|
Self Enquiry
| 1
| 10
|
Small Business
|
Male
| 4
| 4
|
Basic
| 5
|
Divorced
| 7
| 0
| 5
| 1
| 2
|
Executive
| 22,709
|
46
|
Self Enquiry
| 1
| 6
|
Small Business
|
Male
| 2
| 3
|
King
| 3
|
Married
| 1
| 0
| 5
| 1
| 0
|
VP
| 34,627
|
37
|
Self Enquiry
| 1
| 6
|
Salaried
|
Female
| 2
| 3
|
Basic
| 3
|
Single
| 2
| 0
| 2
| 1
| 1
|
Executive
| 17,115
|
37
|
Self Enquiry
| 3
| 18
|
Small Business
|
Female
| 4
| 5
|
Deluxe
| 3
|
Married
| 6
| 0
| 1
| 1
| 2
|
Manager
| 25,330
|
36
|
Self Enquiry
| 1
| 17
|
Salaried
|
Male
| 3
| 4
|
Basic
| 3
|
Married
| 3
| 0
| 5
| 1
| 1
|
Executive
| 22,595
|
35
|
Self Enquiry
| 1
| 31
|
Small Business
|
Female
| 2
| 3
|
Standard
| 3
|
Married
| 2
| 1
| 3
| 0
| 1
|
Senior Manager
| 25,388
|
30
|
Self Enquiry
| 1
| 22
|
Salaried
|
Female
| 4
| 6
|
Basic
| 3
|
Divorced
| 2
| 1
| 5
| 1
| 1
|
Executive
| 20,846
|
45
|
Company Invited
| 1
| 7
|
Small Business
|
Male
| 3
| 4
|
Basic
| 4
|
Married
| 3
| 1
| 3
| 1
| 2
|
Executive
| 21,020
|
37
|
Self Enquiry
| 1
| 13
|
Small Business
|
Male
| 3
| 4
|
Deluxe
| 4
|
Married
| 8
| 0
| 4
| 0
| 2
|
Manager
| 23,619
|
35
|
Self Enquiry
| 3
| 17
|
Salaried
|
Female
| 3
| 4
|
Basic
| 3
|
Married
| 3
| 1
| 1
| 0
| 2
|
Executive
| 20,898
|
39
|
Self Enquiry
| 2
| 9
|
Salaried
|
Female
| 2
| 1
|
Deluxe
| 4
|
Married
| 1
| 0
| 1
| 0
| 0
|
Manager
| 21,389
|
38
|
Self Enquiry
| 1
| 6
|
Large Business
|
Female
| 3
| 3
|
Standard
| 5
|
Married
| 2
| 0
| 4
| 1
| 1
|
Senior Manager
| 28,582
|
40
|
Self Enquiry
| 1
| 16
|
Salaried
|
Female
| 2
| 2
|
Basic
| 3
|
Divorced
| 4
| 1
| 3
| 0
| 1
|
Executive
| 17,213
|
40
|
Self Enquiry
| 1
| 16
|
Small Business
|
Male
| 3
| 4
|
Deluxe
| 5
|
Married
| 3
| 0
| 4
| 1
| 1
|
Manager
| 23,829
|
44
|
Self Enquiry
| 3
| 7
|
Salaried
|
Male
| 2
| 5
|
Deluxe
| 4
|
Single
| 7
| 0
| 3
| 0
| 1
|
Manager
| 17,362
|
30
|
Self Enquiry
| 1
| 7
|
Salaried
|
Female
| 3
| 5
|
Basic
| 5
|
Divorced
| 3
| 1
| 2
| 0
| 1
|
Executive
| 20,997
|
33
|
Self Enquiry
| 1
| 9
|
Large Business
|
Male
| 3
| 5
|
Deluxe
| 5
|
Single
| 6
| 0
| 4
| 0
| 2
|
Manager
| 20,854
|
28
|
Self Enquiry
| 1
| 24
|
Large Business
|
Male
| 3
| 4
|
Basic
| 4
|
Divorced
| 2
| 1
| 4
| 1
| 1
|
Executive
| 21,736
|
30
|
Self Enquiry
| 3
| 11
|
Salaried
|
Female
| 2
| 3
|
Standard
| 3
|
Divorced
| 3
| 0
| 4
| 1
| 1
|
Senior Manager
| 24,419
|
27
|
Company Invited
| 3
| 7
|
Small Business
|
Male
| 3
| 5
|
Deluxe
| 5
|
Unmarried
| 3
| 0
| 3
| 1
| 2
|
Manager
| 22,972
|
34
|
Company Invited
| 3
| 15
|
Salaried
|
Female
| 3
| 5
|
Basic
| 3
|
Single
| 2
| 0
| 1
| 0
| 2
|
Executive
| 21,020
|
19
|
Company Invited
| 3
| 12
|
Small Business
|
Male
| 4
| 4
|
Basic
| 4
|
Single
| 3
| 1
| 4
| 1
| 3
|
Executive
| 20,556
|
29
|
Self Enquiry
| 1
| 24
|
Small Business
|
Male
| 4
| 4
|
Deluxe
| 5
|
Married
| 3
| 0
| 1
| 0
| 2
|
Manager
| 23,236
|
36
|
Self Enquiry
| 3
| 10
|
Salaried
|
Male
| 4
| 4
|
Standard
| 3
|
Married
| 8
| 0
| 5
| 0
| 3
|
Senior Manager
| 26,501
|
52
|
Self Enquiry
| 1
| 18
|
Large Business
|
Female
| 3
| 5
|
Super Deluxe
| 4
|
Single
| 5
| 0
| 1
| 0
| 2
|
AVP
| 31,820
|
42
|
Self Enquiry
| 3
| 6
|
Salaried
|
Male
| 1
| 3
|
Deluxe
| 3
|
Married
| 2
| 0
| 3
| 1
| 0
|
Manager
| 19,907
|
54
|
Company Invited
| 3
| 9
|
Small Business
|
Female
| 3
| 5
|
Standard
| 4
|
Married
| 4
| 0
| 1
| 1
| 1
|
Senior Manager
| 26,203
|
26
|
Self Enquiry
| 1
| 12
|
Salaried
|
Female
| 3
| 3
|
Basic
| 3
|
Married
| 2
| 1
| 1
| 0
| 1
|
Executive
| 17,659
|
37
|
Self Enquiry
| 1
| 6
|
Salaried
|
Female
| 2
| 4
|
Deluxe
| 3
|
Divorced
| 2
| 0
| 2
| 1
| 1
|
Manager
| 21,474
|
38
|
Self Enquiry
| 1
| 17
|
Salaried
|
Male
| 4
| 2
|
Basic
| 3
|
Unmarried
| 5
| 0
| 4
| 1
| 3
|
Executive
| 23,358
|
36
|
Self Enquiry
| 1
| 32
|
Large Business
|
Male
| 4
| 5
|
Standard
| 4
|
Divorced
| 5
| 0
| 3
| 1
| 2
|
Senior Manager
| 29,581
|
40
|
Self Enquiry
| 1
| 7
|
Small Business
|
Male
| 3
| 3
|
Standard
| 3
|
Married
| 2
| 0
| 3
| 1
| 1
|
Senior Manager
| 28,291
|
31
|
Self Enquiry
| 3
| 16
|
Small Business
|
Female
| 2
| 3
|
Deluxe
| 3
|
Married
| 3
| 1
| 1
| 0
| 0
|
Manager
| 21,583
|
29
|
Self Enquiry
| 1
| 34
|
Small Business
|
Female
| 3
| 6
|
Deluxe
| 5
|
Married
| 2
| 0
| 4
| 1
| 1
|
Manager
| 23,886
|
31
|
Self Enquiry
| 3
| 11
|
Salaried
|
Female
| 3
| 3
|
Deluxe
| 3
|
Married
| 2
| 0
| 1
| 0
| 2
|
Manager
| 20,476
|
46
|
Self Enquiry
| 1
| 7
|
Large Business
|
Male
| 4
| 4
|
Standard
| 4
|
Married
| 3
| 0
| 3
| 1
| 2
|
Senior Manager
| 26,119
|
39
|
Self Enquiry
| 3
| 9
|
Small Business
|
Male
| 3
| 4
|
Standard
| 4
|
Unmarried
| 2
| 0
| 4
| 1
| 2
|
Senior Manager
| 26,029
|
44
|
Self Enquiry
| 1
| 21
|
Small Business
|
Female
| 3
| 3
|
Standard
| 3
|
Divorced
| 2
| 0
| 3
| 0
| 1
|
Senior Manager
| 22,978
|
23
|
Self Enquiry
| 1
| 12
|
Salaried
|
Male
| 3
| 3
|
Basic
| 4
|
Married
| 3
| 1
| 4
| 0
| 1
|
Executive
| 21,006
|
51
|
Self Enquiry
| 3
| 10
|
Small Business
|
Male
| 3
| 5
|
Basic
| 3
|
Divorced
| 3
| 1
| 4
| 0
| 1
|
Executive
| 21,361
|
49
|
Self Enquiry
| 1
| 10
|
Small Business
|
Male
| 2
| 4
|
King
| 3
|
Married
| 3
| 0
| 3
| 0
| 1
|
VP
| 33,711
|
37
|
Self Enquiry
| 1
| 10
|
Salaried
|
Male
| 2
| 3
|
Basic
| 3
|
Divorced
| 1
| 1
| 5
| 1
| 1
|
Executive
| 17,996
|
59
|
Self Enquiry
| 1
| 14
|
Small Business
|
Female
| 3
| 5
|
Standard
| 5
|
Divorced
| 2
| 1
| 4
| 1
| 1
|
Senior Manager
| 28,686
|
33
|
Self Enquiry
| 1
| 8
|
Small Business
|
Male
| 3
| 3
|
Basic
| 3
|
Single
| 5
| 0
| 3
| 0
| 2
|
Executive
| 17,496
|
37
|
Self Enquiry
| 3
| 20
|
Small Business
|
Male
| 4
| 5
|
Deluxe
| 5
|
Married
| 7
| 1
| 1
| 1
| 1
|
Manager
| 24,812
|
34
|
Company Invited
| 3
| 14
|
Salaried
|
Female
| 2
| 4
|
Deluxe
| 4
|
Married
| 2
| 0
| 4
| 0
| 1
|
Manager
| 22,980
|
22
|
Company Invited
| 3
| 16
|
Small Business
|
Male
| 3
| 4
|
Basic
| 3
|
Unmarried
| 3
| 0
| 4
| 0
| 1
|
Executive
| 21,288
|
40
|
Company Invited
| 1
| 14
|
Small Business
|
Male
| 2
| 4
|
Standard
| 4
|
Married
| 3
| 0
| 1
| 1
| 1
|
Senior Manager
| 28,757
|
42
|
Company Invited
| 1
| 11
|
Salaried
|
Male
| 3
| 3
|
Basic
| 3
|
Divorced
| 5
| 0
| 3
| 1
| 0
|
Executive
| 17,093
|
39
|
Self Enquiry
| 1
| 18
|
Small Business
|
Male
| 3
| 3
|
Deluxe
| 4
|
Married
| 5
| 0
| 3
| 1
| 1
|
Manager
| 20,295
|
33
|
Self Enquiry
| 1
| 34
|
Salaried
|
Male
| 3
| 3
|
Deluxe
| 3
|
Married
| 2
| 1
| 1
| 1
| 0
|
Manager
| 20,207
|
58
|
Self Enquiry
| 3
| 36
|
Small Business
|
Male
| 3
| 5
|
Super Deluxe
| 3
|
Married
| 5
| 0
| 3
| 0
| 1
|
AVP
| 32,796
|
33
|
Self Enquiry
| 3
| 22
|
Salaried
|
Fe Male
| 3
| 3
|
Standard
| 5
|
Unmarried
| 3
| 1
| 5
| 0
| 0
|
Senior Manager
| 23,564
|
44
|
Company Invited
| 3
| 7
|
Large Business
|
Male
| 3
| 3
|
Basic
| 3
|
Married
| 4
| 0
| 3
| 1
| 1
|
Executive
| 22,978
|
40
|
Self Enquiry
| 3
| 16
|
Large Business
|
Female
| 2
| 4
|
Deluxe
| 4
|
Married
| 1
| 0
| 5
| 1
| 1
|
Manager
| 21,852
|
35
|
Self Enquiry
| 1
| 7
|
Salaried
|
Male
| 3
| 4
|
Basic
| 3
|
Divorced
| 3
| 0
| 3
| 1
| 1
|
Executive
| 21,369
|
42
|
Self Enquiry
| 1
| 14
|
Small Business
|
Fe Male
| 3
| 4
|
Deluxe
| 3
|
Unmarried
| 8
| 0
| 3
| 1
| 1
|
Manager
| 23,681
|
24
|
Self Enquiry
| 1
| 19
|
Salaried
|
Male
| 4
| 4
|
Basic
| 3
|
Unmarried
| 3
| 0
| 5
| 1
| 1
|
Executive
| 21,325
|
34
|
Self Enquiry
| 3
| 6
|
Large Business
|
Male
| 3
| 4
|
Standard
| 3
|
Divorced
| 2
| 1
| 1
| 1
| 1
|
Senior Manager
| 22,083
|
53
|
Self Enquiry
| 3
| 14
|
Small Business
|
Male
| 3
| 3
|
Super Deluxe
| 3
|
Married
| 6
| 0
| 3
| 1
| 0
|
AVP
| 26,836
|
35
|
Self Enquiry
| 3
| 33
|
Salaried
|
Male
| 2
| 3
|
Deluxe
| 3
|
Single
| 2
| 1
| 5
| 0
| 0
|
Manager
| 20,813
|
52
|
Self Enquiry
| 1
| 11
|
Salaried
|
Male
| 3
| 4
|
Basic
| 3
|
Divorced
| 2
| 1
| 2
| 1
| 2
|
Executive
| 21,139
|
36
|
Self Enquiry
| 1
| 7
|
Small Business
|
Male
| 2
| 5
|
Basic
| 3
|
Unmarried
| 3
| 0
| 4
| 1
| 1
|
Executive
| 21,537
|
37
|
Company Invited
| 1
| 15
|
Small Business
|
Male
| 2
| 3
|
Basic
| 3
|
Divorced
| 2
| 1
| 2
| 0
| 0
|
Executive
| 17,326
|
31
|
Self Enquiry
| 3
| 15
|
Salaried
|
Male
| 4
| 4
|
Standard
| 3
|
Married
| 7
| 0
| 3
| 1
| 1
|
Senior Manager
| 25,942
|
50
|
Self Enquiry
| 3
| 5
|
Small Business
|
Male
| 2
| 3
|
King
| 3
|
Married
| 5
| 1
| 5
| 0
| 1
|
VP
| 34,331
|
56
|
Self Enquiry
| 3
| 9
|
Small Business
|
Male
| 3
| 4
|
Deluxe
| 3
|
Unmarried
| 6
| 0
| 2
| 0
| 2
|
Manager
| 23,838
|
33
|
Self Enquiry
| 1
| 7
|
Salaried
|
Male
| 4
| 4
|
Basic
| 5
|
Unmarried
| 3
| 0
| 1
| 0
| 2
|
Executive
| 21,634
|
27
|
Company Invited
| 1
| 18
|
Small Business
|
Male
| 3
| 4
|
Deluxe
| 5
|
Married
| 3
| 1
| 3
| 1
| 1
|
Manager
| 23,419
|
31
|
Company Invited
| 1
| 26
|
Salaried
|
Male
| 3
| 3
|
Standard
| 3
|
Married
| 4
| 0
| 3
| 1
| 0
|
Senior Manager
| 24,824
|
33
|
Company Invited
| 1
| 22
|
Small Business
|
Female
| 3
| 4
|
Deluxe
| 3
|
Married
| 7
| 0
| 3
| 0
| 2
|
Manager
| 25,345
|
41
|
Self Enquiry
| 3
| 6
|
Small Business
|
Male
| 2
| 1
|
Standard
| 5
|
Married
| 2
| 0
| 3
| 1
| 1
|
Senior Manager
| 23,392
|
35
|
Self Enquiry
| 1
| 8
|
Salaried
|
Female
| 3
| 3
|
Basic
| 5
|
Married
| 2
| 1
| 1
| 1
| 1
|
Executive
| 17,074
|
22
|
Self Enquiry
| 1
| 25
|
Salaried
|
Female
| 4
| 4
|
Basic
| 3
|
Unmarried
| 3
| 0
| 3
| 1
| 3
|
Executive
| 21,371
|
57
|
Company Invited
| 1
| 16
|
Small Business
|
Female
| 4
| 4
|
Basic
| 3
|
Divorced
| 4
| 0
| 2
| 0
| 1
|
Executive
| 21,620
|
37
|
Company Invited
| 3
| 27
|
Small Business
|
Female
| 2
| 3
|
Basic
| 3
|
Married
| 6
| 0
| 1
| 1
| 0
|
Executive
| 17,973
|
28
|
Company Invited
| 1
| 6
|
Small Business
|
Male
| 2
| 3
|
Basic
| 3
|
Single
| 1
| 1
| 4
| 0
| 0
|
Executive
| 17,154
|
35
|
Self Enquiry
| 1
| 26
|
Small Business
|
Male
| 4
| 4
|
Basic
| 3
|
Married
| 2
| 0
| 3
| 0
| 3
|
Executive
| 21,339
|
46
|
Self Enquiry
| 1
| 14
|
Salaried
|
Male
| 3
| 4
|
Standard
| 5
|
Married
| 4
| 0
| 3
| 0
| 1
|
Senior Manager
| 28,402
|
30
|
Self Enquiry
| 1
| 16
|
Salaried
|
Male
| 2
| 5
|
Basic
| 3
|
Unmarried
| 2
| 0
| 2
| 1
| 1
|
Executive
| 22,661
|
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