Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'Unnamed: 0'}) and 1 missing columns ({'ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/prashant91/wellness-tourism-raw-data/tourism_data.csv (at revision d6e9ea3f823edf970331a1f6683aa855f501bd3d)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/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
{'ID': Value('int64'), 'CustomerID': Value('int64'), 'ProdTaken': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/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 ({'Unnamed: 0'}) and 1 missing columns ({'ID'}).
This happened while the csv dataset builder was generating data using
hf://datasets/prashant91/wellness-tourism-raw-data/tourism_data.csv (at revision d6e9ea3f823edf970331a1f6683aa855f501bd3d)
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.
ID int64 | CustomerID int64 | ProdTaken 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 200,000 | 1 | 41 | Self Enquiry | 3 | 6 | Salaried | Female | 3 | 3 | Deluxe | 3 | Single | 1 | 1 | 2 | 1 | 0 | Manager | 20,993 |
1 | 200,001 | 0 | 49 | Company Invited | 1 | 14 | Salaried | Male | 3 | 4 | Deluxe | 4 | Divorced | 2 | 0 | 3 | 1 | 2 | Manager | 20,130 |
2 | 200,002 | 1 | 37 | Self Enquiry | 1 | 8 | Free Lancer | Male | 3 | 4 | Basic | 3 | Single | 7 | 1 | 3 | 0 | 0 | Executive | 17,090 |
3 | 200,003 | 0 | 33 | Company Invited | 1 | 9 | Salaried | Female | 2 | 3 | Basic | 3 | Divorced | 2 | 1 | 5 | 1 | 1 | Executive | 17,909 |
5 | 200,005 | 0 | 32 | Company Invited | 1 | 8 | Salaried | Male | 3 | 3 | Basic | 3 | Single | 1 | 0 | 5 | 1 | 1 | Executive | 18,068 |
6 | 200,006 | 0 | 59 | Self Enquiry | 1 | 9 | Small Business | Female | 2 | 2 | Basic | 5 | Divorced | 5 | 1 | 2 | 1 | 1 | Executive | 17,670 |
7 | 200,007 | 0 | 30 | Self Enquiry | 1 | 30 | Salaried | Male | 3 | 3 | Basic | 3 | Married | 2 | 0 | 2 | 0 | 1 | Executive | 17,693 |
8 | 200,008 | 0 | 38 | Company Invited | 1 | 29 | Salaried | Male | 2 | 4 | Standard | 3 | Unmarried | 1 | 0 | 3 | 0 | 0 | Senior Manager | 24,526 |
9 | 200,009 | 0 | 36 | Self Enquiry | 1 | 33 | Small Business | Male | 3 | 3 | Deluxe | 3 | Divorced | 7 | 0 | 3 | 1 | 0 | Manager | 20,237 |
10 | 200,010 | 0 | 35 | Self Enquiry | 1 | 22 | Small Business | Male | 2 | 2 | Basic | 4 | Divorced | 1 | 0 | 3 | 1 | 1 | Executive | 17,426 |
12 | 200,012 | 0 | 31 | Self Enquiry | 1 | 32 | Salaried | Male | 2 | 3 | Basic | 3 | Married | 2 | 0 | 3 | 0 | 1 | Executive | 17,911 |
13 | 200,013 | 0 | 34 | Self Enquiry | 1 | 25 | Small Business | Male | 3 | 3 | Basic | 3 | Married | 1 | 0 | 3 | 0 | 2 | Executive | 17,661 |
14 | 200,014 | 1 | 28 | Self Enquiry | 1 | 30 | Salaried | Male | 2 | 4 | Basic | 3 | Single | 6 | 1 | 2 | 0 | 0 | Executive | 17,028 |
15 | 200,015 | 0 | 29 | Self Enquiry | 1 | 27 | Salaried | Female | 2 | 2 | Standard | 5 | Married | 2 | 0 | 5 | 1 | 1 | Senior Manager | 24,980 |
16 | 200,016 | 0 | 32 | Self Enquiry | 1 | 11 | Salaried | Male | 3 | 2 | Basic | 4 | Married | 1 | 1 | 2 | 1 | 0 | Executive | 18,298 |
17 | 200,017 | 0 | 22 | Company Invited | 1 | 22 | Small Business | Male | 3 | 2 | Basic | 3 | Married | 2 | 1 | 3 | 0 | 0 | Executive | 17,935 |
18 | 200,018 | 0 | 53 | Self Enquiry | 3 | 8 | Salaried | Female | 3 | 4 | Super Deluxe | 3 | Divorced | 3 | 0 | 3 | 1 | 0 | AVP | 30,427 |
22 | 200,022 | 0 | 34 | Self Enquiry | 1 | 13 | Salaried | Fe Male | 2 | 3 | Standard | 4 | Unmarried | 1 | 0 | 3 | 1 | 0 | Senior Manager | 26,994 |
23 | 200,023 | 0 | 21 | Self Enquiry | 1 | 21 | Salaried | Male | 3 | 3 | Basic | 3 | Single | 2 | 0 | 3 | 1 | 1 | Executive | 16,232 |
24 | 200,024 | 1 | 34 | Self Enquiry | 1 | 12 | Small Business | Male | 2 | 3 | Basic | 5 | Single | 3 | 0 | 2 | 1 | 1 | Executive | 17,960 |
25 | 200,025 | 0 | 53 | Self Enquiry | 1 | 11 | Salaried | Female | 2 | 3 | King | 3 | Married | 5 | 0 | 5 | 0 | 1 | VP | 34,094 |
27 | 200,027 | 0 | 42 | Self Enquiry | 3 | 14 | Small Business | Male | 2 | 3 | Deluxe | 4 | Divorced | 1 | 0 | 3 | 0 | 1 | Manager | 21,825 |
28 | 200,028 | 0 | 44 | Self Enquiry | 1 | 13 | Small Business | Female | 2 | 4 | Standard | 3 | Divorced | 4 | 0 | 4 | 1 | 0 | Senior Manager | 25,248 |
29 | 200,029 | 0 | 46 | Self Enquiry | 3 | 8 | Small Business | Female | 2 | 3 | King | 5 | Single | 4 | 0 | 2 | 0 | 1 | VP | 33,947 |
30 | 200,030 | 0 | 33 | Self Enquiry | 1 | 8 | Small Business | Male | 3 | 3 | Basic | 3 | Single | 5 | 0 | 3 | 1 | 2 | Executive | 17,496 |
31 | 200,031 | 0 | 44 | Self Enquiry | 1 | 16 | Salaried | Male | 2 | 3 | Deluxe | 3 | Divorced | 3 | 1 | 3 | 1 | 1 | Manager | 21,465 |
32 | 200,032 | 0 | 30 | Self Enquiry | 1 | 15 | Small Business | Male | 2 | 4 | Basic | 3 | Single | 2 | 0 | 4 | 1 | 1 | Executive | 17,206 |
33 | 200,033 | 1 | 39 | Self Enquiry | 3 | 11 | Large Business | Male | 2 | 3 | Deluxe | 3 | Divorced | 4 | 0 | 2 | 0 | 1 | Manager | 17,086 |
34 | 200,034 | 1 | 24 | Self Enquiry | 1 | 6 | Small Business | Male | 3 | 3 | Basic | 3 | Divorced | 3 | 1 | 3 | 1 | 2 | Executive | 17,293 |
35 | 200,035 | 0 | 43 | Self Enquiry | 1 | 8 | Small Business | Female | 3 | 2 | Basic | 3 | Married | 2 | 0 | 2 | 0 | 1 | Executive | 17,645 |
36 | 200,036 | 1 | 50 | Self Enquiry | 3 | 9 | Small Business | Male | 2 | 4 | Basic | 3 | Divorced | 2 | 1 | 4 | 0 | 0 | Executive | 17,683 |
37 | 200,037 | 0 | 35 | Self Enquiry | 3 | 8 | Small Business | Female | 3 | 3 | Basic | 3 | Divorced | 2 | 0 | 2 | 1 | 0 | Executive | 17,014 |
39 | 200,039 | 0 | 33 | Company Invited | 3 | 6 | Salaried | Female | 2 | 2 | Deluxe | 5 | Divorced | 3 | 0 | 3 | 1 | 0 | Manager | 20,376 |
40 | 200,040 | 0 | 35 | Self Enquiry | 1 | 10 | Salaried | Male | 3 | 3 | Basic | 3 | Married | 2 | 0 | 4 | 0 | 0 | Executive | 16,951 |
41 | 200,041 | 0 | 27 | Self Enquiry | 1 | 8 | Salaried | Female | 2 | 3 | Basic | 5 | Married | 2 | 0 | 3 | 0 | 1 | Executive | 17,341 |
42 | 200,042 | 1 | 26 | Self Enquiry | 1 | 31 | Salaried | Male | 2 | 5 | Basic | 3 | Single | 2 | 0 | 2 | 1 | 1 | Executive | 17,293 |
43 | 200,043 | 0 | 27 | Company Invited | 3 | 14 | Salaried | Male | 2 | 3 | Standard | 3 | Unmarried | 2 | 0 | 2 | 1 | 0 | Senior Manager | 23,726 |
45 | 200,045 | 1 | 41 | Self Enquiry | 1 | 18 | Large Business | Female | 2 | 3 | King | 3 | Divorced | 2 | 0 | 4 | 1 | 0 | VP | 34,545 |
47 | 200,047 | 0 | 37 | Self Enquiry | 1 | 25 | Salaried | Male | 3 | 3 | Basic | 4 | Divorced | 5 | 0 | 4 | 1 | 1 | Executive | 18,022 |
48 | 200,048 | 0 | 46 | Company Invited | 3 | 11 | Small Business | Male | 3 | 3 | Deluxe | 3 | Single | 5 | 1 | 5 | 1 | 1 | Manager | 20,772 |
49 | 200,049 | 0 | 35 | Self Enquiry | 1 | 14 | Salaried | Male | 2 | 2 | Basic | 3 | Divorced | 2 | 0 | 5 | 1 | 1 | Executive | 17,269 |
50 | 200,050 | 1 | 48 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 4 | Standard | 3 | Single | 1 | 1 | 5 | 0 | 2 | Senior Manager | 20,381 |
52 | 200,052 | 0 | 44 | Self Enquiry | 3 | 6 | Small Business | Female | 3 | 3 | Deluxe | 5 | Married | 6 | 1 | 2 | 0 | 0 | Manager | 20,454 |
53 | 200,053 | 0 | 35 | Company Invited | 1 | 17 | Small Business | Male | 3 | 4 | Standard | 5 | Divorced | 3 | 1 | 5 | 1 | 1 | Senior Manager | 24,884 |
55 | 200,055 | 0 | 33 | Company Invited | 1 | 6 | Salaried | Fe Male | 3 | 3 | Standard | 3 | Unmarried | 2 | 1 | 2 | 1 | 0 | Senior Manager | 28,458 |
56 | 200,056 | 0 | 35 | Company Invited | 3 | 24 | Salaried | Male | 3 | 3 | Standard | 5 | Divorced | 2 | 0 | 4 | 1 | 0 | Senior Manager | 24,069 |
58 | 200,058 | 0 | 31 | Self Enquiry | 1 | 13 | Salaried | Male | 2 | 3 | Deluxe | 3 | Married | 4 | 0 | 3 | 1 | 0 | Manager | 20,915 |
59 | 200,059 | 0 | 37 | Self Enquiry | 1 | 6 | Salaried | Male | 2 | 4 | Deluxe | 3 | Married | 2 | 0 | 5 | 1 | 1 | Manager | 20,993 |
60 | 200,060 | 0 | 32 | Self Enquiry | 1 | 6 | Small Business | Male | 2 | 3 | Deluxe | 3 | Divorced | 2 | 1 | 4 | 1 | 0 | Manager | 21,162 |
61 | 200,061 | 0 | 38 | Company Invited | 1 | 35 | Salaried | Female | 2 | 3 | Deluxe | 3 | Single | 2 | 0 | 3 | 1 | 0 | Manager | 17,406 |
62 | 200,062 | 0 | 50 | Self Enquiry | 1 | 13 | Small Business | Female | 2 | 4 | King | 3 | Married | 6 | 1 | 4 | 1 | 1 | VP | 33,740 |
63 | 200,063 | 0 | 59 | Self Enquiry | 3 | 31 | Salaried | Female | 2 | 3 | Standard | 5 | Unmarried | 1 | 0 | 3 | 1 | 0 | Senior Manager | 22,637 |
64 | 200,064 | 0 | 36 | Self Enquiry | 1 | 14 | Large Business | Female | 2 | 3 | Standard | 3 | Married | 2 | 0 | 4 | 1 | 1 | Senior Manager | 25,096 |
65 | 200,065 | 0 | 55 | Self Enquiry | 1 | 14 | Small Business | Female | 2 | 3 | Super Deluxe | 3 | Married | 3 | 1 | 3 | 0 | 1 | AVP | 29,756 |
66 | 200,066 | 0 | 36 | Company Invited | 1 | 17 | Salaried | Male | 3 | 4 | Deluxe | 4 | Unmarried | 2 | 0 | 4 | 1 | 1 | Manager | 21,499 |
67 | 200,067 | 0 | 45 | Self Enquiry | 1 | 13 | Salaried | Male | 2 | 3 | Standard | 5 | Married | 3 | 0 | 3 | 1 | 1 | Senior Manager | 24,724 |
68 | 200,068 | 0 | 35 | Company Invited | 1 | 6 | Small Business | Male | 3 | 3 | Basic | 5 | Divorced | 5 | 0 | 2 | 0 | 1 | Executive | 17,194 |
70 | 200,070 | 0 | 59 | Company Invited | 3 | 6 | Salaried | Female | 2 | 4 | Deluxe | 3 | Single | 1 | 0 | 5 | 1 | 1 | Manager | 20,473 |
71 | 200,071 | 0 | 29 | Self Enquiry | 1 | 8 | Salaried | Male | 3 | 3 | Basic | 4 | Divorced | 1 | 0 | 4 | 0 | 0 | Executive | 17,703 |
72 | 200,072 | 0 | 31 | Self Enquiry | 1 | 6 | Small Business | Male | 2 | 3 | Basic | 4 | Single | 2 | 0 | 3 | 0 | 0 | Executive | 17,501 |
73 | 200,073 | 0 | 32 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 3 | Deluxe | 4 | Divorced | 2 | 0 | 3 | 0 | 0 | Manager | 21,220 |
74 | 200,074 | 0 | 36 | Self Enquiry | 1 | 12 | Salaried | Female | 2 | 2 | Deluxe | 3 | Divorced | 4 | 0 | 2 | 0 | 0 | Manager | 18,038 |
77 | 200,077 | 0 | 45 | Self Enquiry | 1 | 12 | Salaried | Male | 2 | 3 | Standard | 5 | Divorced | 5 | 1 | 3 | 0 | 0 | Senior Manager | 28,245 |
78 | 200,078 | 0 | 37 | Self Enquiry | 1 | 13 | Small Business | Male | 1 | 3 | Standard | 3 | Single | 5 | 0 | 2 | 0 | 0 | Senior Manager | 28,664 |
80 | 200,080 | 0 | 30 | Self Enquiry | 1 | 6 | Salaried | Male | 2 | 4 | Deluxe | 3 | Divorced | 2 | 1 | 2 | 1 | 1 | Manager | 20,126 |
81 | 200,081 | 0 | 35 | Self Enquiry | 1 | 6 | Small Business | Male | 1 | 4 | Basic | 3 | Single | 2 | 0 | 4 | 1 | 0 | Executive | 17,859 |
82 | 200,082 | 0 | 55 | Self Enquiry | 3 | 6 | Salaried | Male | 3 | 3 | Standard | 3 | Divorced | 4 | 0 | 2 | 0 | 1 | Senior Manager | 25,239 |
83 | 200,083 | 0 | 38 | Company Invited | 1 | 12 | Small Business | Female | 3 | 5 | Deluxe | 3 | Married | 1 | 1 | 2 | 0 | 2 | Manager | 20,329 |
85 | 200,085 | 0 | 56 | Self Enquiry | 1 | 13 | Salaried | Male | 2 | 5 | Standard | 3 | Unmarried | 5 | 0 | 2 | 0 | 0 | Senior Manager | 22,260 |
86 | 200,086 | 0 | 23 | Self Enquiry | 3 | 8 | Large Business | Male | 3 | 3 | Basic | 5 | Married | 4 | 0 | 3 | 1 | 1 | Executive | 17,322 |
87 | 200,087 | 0 | 51 | Self Enquiry | 1 | 15 | Salaried | Male | 3 | 3 | Basic | 3 | Divorced | 4 | 0 | 3 | 1 | 0 | Executive | 17,075 |
89 | 200,089 | 1 | 46 | Self Enquiry | 3 | 15 | Small Business | Male | 3 | 4 | Standard | 3 | Unmarried | 2 | 0 | 5 | 0 | 1 | Senior Manager | 24,619 |
90 | 200,090 | 0 | 40 | Company Invited | 1 | 6 | Salaried | Male | 3 | 4 | Super Deluxe | 4 | Divorced | 2 | 0 | 2 | 1 | 2 | AVP | 28,503 |
91 | 200,091 | 0 | 51 | Self Enquiry | 3 | 27 | Small Business | Male | 3 | 3 | Deluxe | 3 | Single | 1 | 1 | 5 | 1 | 1 | Manager | 20,441 |
92 | 200,092 | 0 | 30 | Self Enquiry | 3 | 10 | Small Business | Female | 3 | 4 | Deluxe | 4 | Married | 2 | 1 | 3 | 1 | 1 | Manager | 20,209 |
93 | 200,093 | 0 | 46 | Company Invited | 1 | 6 | Small Business | Male | 2 | 4 | Standard | 5 | Divorced | 3 | 1 | 2 | 1 | 1 | Senior Manager | 25,673 |
95 | 200,095 | 0 | 54 | Self Enquiry | 1 | 8 | Large Business | Female | 2 | 3 | Standard | 3 | Divorced | 1 | 0 | 4 | 1 | 0 | Senior Manager | 28,549 |
98 | 200,098 | 0 | 58 | Self Enquiry | 3 | 16 | Small Business | Male | 2 | 3 | Super Deluxe | 3 | Single | 1 | 0 | 3 | 1 | 1 | AVP | 28,872 |
99 | 200,099 | 0 | 44 | Company Invited | 1 | 29 | Small Business | Male | 3 | 3 | Deluxe | 4 | Divorced | 5 | 0 | 3 | 1 | 0 | Manager | 17,042 |
100 | 200,100 | 1 | 37 | Self Enquiry | 2 | 12 | Salaried | Male | 3 | 3 | Basic | 5 | Married | 5 | 1 | 2 | 1 | 0 | Executive | 17,073 |
101 | 200,101 | 0 | 32 | Self Enquiry | 1 | 6 | Salaried | Male | 3 | 3 | Basic | 5 | Single | 2 | 0 | 2 | 0 | 2 | Executive | 17,956 |
102 | 200,102 | 1 | 20 | Company Invited | 1 | 12 | Salaried | Female | 3 | 4 | Basic | 3 | Single | 2 | 1 | 2 | 1 | 1 | Executive | 17,926 |
104 | 200,104 | 0 | 37 | Company Invited | 1 | 8 | Salaried | Male | 3 | 4 | Deluxe | 3 | Married | 6 | 0 | 2 | 0 | 1 | Manager | 20,163 |
105 | 200,105 | 0 | 59 | Company Invited | 2 | 8 | Salaried | Female | 2 | 4 | King | 3 | Divorced | 1 | 0 | 2 | 1 | 1 | VP | 33,844 |
106 | 200,106 | 0 | 50 | Company Invited | 1 | 6 | Salaried | Female | 3 | 3 | King | 4 | Divorced | 4 | 1 | 2 | 0 | 2 | VP | 33,172 |
107 | 200,107 | 1 | 25 | Self Enquiry | 3 | 11 | Small Business | Male | 2 | 4 | Deluxe | 3 | Single | 2 | 1 | 3 | 1 | 0 | Manager | 20,744 |
108 | 200,108 | 0 | 25 | Self Enquiry | 1 | 13 | Small Business | Male | 3 | 4 | Basic | 3 | Divorced | 2 | 0 | 2 | 1 | 2 | Executive | 17,889 |
109 | 200,109 | 0 | 22 | Self Enquiry | 1 | 21 | Small Business | Female | 2 | 3 | Basic | 3 | Single | 2 | 0 | 2 | 1 | 1 | Executive | 17,871 |
110 | 200,110 | 0 | 51 | Company Invited | 1 | 6 | Small Business | Female | 1 | 4 | Standard | 5 | Unmarried | 4 | 0 | 2 | 1 | 0 | Senior Manager | 22,484 |
111 | 200,111 | 1 | 34 | Company Invited | 1 | 13 | Salaried | Male | 3 | 5 | Deluxe | 3 | Single | 2 | 1 | 5 | 1 | 1 | Manager | 21,074 |
112 | 200,112 | 0 | 54 | Company Invited | 2 | 32 | Salaried | Female | 1 | 2 | Super Deluxe | 3 | Single | 3 | 1 | 3 | 1 | 0 | AVP | 32,328 |
113 | 200,113 | 0 | 24 | Self Enquiry | 1 | 24 | Salaried | Male | 2 | 3 | Basic | 3 | Divorced | 1 | 0 | 4 | 1 | 0 | Executive | 17,774 |
115 | 200,115 | 0 | 37 | Self Enquiry | 3 | 9 | Salaried | Male | 2 | 3 | Standard | 3 | Unmarried | 3 | 0 | 3 | 0 | 0 | Senior Manager | 22,428 |
116 | 200,116 | 0 | 34 | Self Enquiry | 1 | 11 | Small Business | Fe Male | 2 | 4 | Standard | 5 | Unmarried | 3 | 0 | 2 | 0 | 0 | Senior Manager | 26,631 |
117 | 200,117 | 0 | 36 | Company Invited | 3 | 17 | Large Business | Female | 3 | 3 | Standard | 3 | Divorced | 1 | 0 | 5 | 0 | 0 | Senior Manager | 24,738 |
118 | 200,118 | 0 | 36 | Self Enquiry | 1 | 9 | Salaried | Female | 2 | 3 | Basic | 3 | Married | 6 | 0 | 2 | 1 | 0 | Executive | 17,835 |
119 | 200,119 | 0 | 43 | Company Invited | 3 | 32 | Salaried | Male | 3 | 3 | Super Deluxe | 3 | Divorced | 2 | 1 | 2 | 0 | 0 | AVP | 31,959 |
120 | 200,120 | 0 | 30 | Company Invited | 1 | 29 | Salaried | Male | 3 | 5 | Basic | 3 | Married | 2 | 0 | 3 | 1 | 2 | Executive | 17,613 |
121 | 200,121 | 0 | 33 | Company Invited | 3 | 28 | Small Business | Male | 3 | 3 | Deluxe | 4 | Divorced | 1 | 0 | 2 | 0 | 1 | Manager | 21,146 |
123 | 200,123 | 0 | 51 | Self Enquiry | 1 | 12 | Salaried | Male | 2 | 3 | King | 3 | Single | 1 | 0 | 5 | 1 | 0 | VP | 34,537 |
End of preview.
No dataset card yet
- Downloads last month
- 6