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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 21 missing columns ({'Occupation_Salaried', 'PreferredPropertyStar', 'TypeofContact_Self Enquiry', 'Occupation_Small Business', 'Gender_Male', 'Designation', 'Passport', 'DurationOfPitch', 'CityTier', 'Occupation_Large Business', 'ProductPitched', 'MaritalStatus_Single', 'NumberOfPersonVisiting', 'NumberOfChildrenVisiting', 'NumberOfTrips', 'Age', 'NumberOfFollowups', 'PitchSatisfactionScore', 'MaritalStatus_Married', 'MonthlyIncome', 'OwnCar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/dararaje/Tourism_Package_Prediction/y_train.csv (at revision 2e6838002f94721995829113da6c5c40ed881e46), [/tmp/hf-datasets-cache/medium/datasets/13588938267147-config-parquet-and-info-dararaje-Tourism_Package_-81c17408/hub/datasets--dararaje--Tourism_Package_Prediction/snapshots/2e6838002f94721995829113da6c5c40ed881e46/x_train.csv (origin=hf://datasets/dararaje/Tourism_Package_Prediction@2e6838002f94721995829113da6c5c40ed881e46/x_train.csv), /tmp/hf-datasets-cache/medium/datasets/13588938267147-config-parquet-and-info-dararaje-Tourism_Package_-81c17408/hub/datasets--dararaje--Tourism_Package_Prediction/snapshots/2e6838002f94721995829113da6c5c40ed881e46/y_train.csv (origin=hf://datasets/dararaje/Tourism_Package_Prediction@2e6838002f94721995829113da6c5c40ed881e46/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'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('int64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('int64'), 'MonthlyIncome': Value('float64'), 'TypeofContact_Self Enquiry': Value('int64'), 'Occupation_Large Business': Value('int64'), 'Occupation_Salaried': Value('int64'), 'Occupation_Small Business': Value('int64'), 'Gender_Male': Value('int64'), 'MaritalStatus_Married': Value('int64'), 'MaritalStatus_Single': Value('int64')}
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 21 missing columns ({'Occupation_Salaried', 'PreferredPropertyStar', 'TypeofContact_Self Enquiry', 'Occupation_Small Business', 'Gender_Male', 'Designation', 'Passport', 'DurationOfPitch', 'CityTier', 'Occupation_Large Business', 'ProductPitched', 'MaritalStatus_Single', 'NumberOfPersonVisiting', 'NumberOfChildrenVisiting', 'NumberOfTrips', 'Age', 'NumberOfFollowups', 'PitchSatisfactionScore', 'MaritalStatus_Married', 'MonthlyIncome', 'OwnCar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/dararaje/Tourism_Package_Prediction/y_train.csv (at revision 2e6838002f94721995829113da6c5c40ed881e46), [/tmp/hf-datasets-cache/medium/datasets/13588938267147-config-parquet-and-info-dararaje-Tourism_Package_-81c17408/hub/datasets--dararaje--Tourism_Package_Prediction/snapshots/2e6838002f94721995829113da6c5c40ed881e46/x_train.csv (origin=hf://datasets/dararaje/Tourism_Package_Prediction@2e6838002f94721995829113da6c5c40ed881e46/x_train.csv), /tmp/hf-datasets-cache/medium/datasets/13588938267147-config-parquet-and-info-dararaje-Tourism_Package_-81c17408/hub/datasets--dararaje--Tourism_Package_Prediction/snapshots/2e6838002f94721995829113da6c5c40ed881e46/y_train.csv (origin=hf://datasets/dararaje/Tourism_Package_Prediction@2e6838002f94721995829113da6c5c40ed881e46/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 | CityTier int64 | DurationOfPitch float64 | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched int64 | PreferredPropertyStar float64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | Designation int64 | MonthlyIncome float64 | TypeofContact_Self Enquiry int64 | Occupation_Large Business int64 | Occupation_Salaried int64 | Occupation_Small Business int64 | Gender_Male int64 | MaritalStatus_Married int64 | MaritalStatus_Single int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45 | 1 | 30 | 4 | 4 | 3 | 4 | 6 | 0 | 3 | 0 | 2 | 2 | 20,720 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
31 | 3 | 29 | 4 | 4 | 2 | 5 | 2 | 0 | 2 | 1 | 1 | 3 | 27,090 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
32 | 1 | 14 | 3 | 4 | 3 | 5 | 3 | 0 | 1 | 1 | 1 | 2 | 22,984 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
50 | 3 | 6 | 3 | 3 | 5 | 3 | 4 | 0 | 1 | 1 | 0 | 5 | 34,517 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
43 | 1 | 9 | 3 | 5 | 1 | 5 | 2 | 1 | 4 | 1 | 1 | 1 | 21,271 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
28 | 1 | 13 | 3 | 5 | 1 | 3 | 3 | 0 | 2 | 1 | 2 | 1 | 21,217 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
36 | 3 | 8 | 3 | 4 | 2 | 3 | 2 | 0 | 2 | 1 | 0 | 3 | 22,596 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
44 | 1 | 16 | 2 | 3 | 3 | 3 | 3 | 1 | 3 | 0 | 1 | 2 | 21,465 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
55 | 1 | 24 | 3 | 3 | 3 | 4 | 4 | 1 | 5 | 1 | 1 | 2 | 21,385 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
36 | 2 | 15 | 4 | 4 | 1 | 3 | 3 | 0 | 5 | 0 | 2 | 1 | 23,001 | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
33 | 1 | 9 | 3 | 4 | 3 | 4 | 6 | 0 | 4 | 1 | 2 | 2 | 23,561 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
35 | 3 | 11 | 4 | 4 | 3 | 3 | 2 | 0 | 1 | 0 | 1 | 2 | 25,216 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
34 | 1 | 15 | 4 | 4 | 3 | 3 | 4 | 1 | 3 | 0 | 3 | 2 | 25,066 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
39 | 1 | 6 | 3 | 3 | 1 | 3 | 1 | 0 | 3 | 1 | 0 | 1 | 17,232 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
31 | 1 | 6 | 2 | 3 | 1 | 4 | 2 | 0 | 3 | 1 | 0 | 1 | 17,501 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
32 | 1 | 10 | 4 | 4 | 2 | 3 | 2 | 0 | 4 | 1 | 3 | 3 | 32,353 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
42 | 3 | 18 | 3 | 3 | 3 | 3 | 4 | 1 | 1 | 0 | 0 | 2 | 20,087 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
34 | 3 | 17 | 3 | 5 | 3 | 3 | 5 | 0 | 3 | 1 | 2 | 2 | 23,360 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
38 | 3 | 16 | 4 | 4 | 2 | 4 | 3 | 0 | 2 | 1 | 1 | 3 | 27,512 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
43 | 1 | 25 | 3 | 4 | 3 | 5 | 8 | 1 | 1 | 0 | 1 | 2 | 24,088 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
60 | 1 | 9 | 4 | 5 | 4 | 3 | 5 | 1 | 5 | 0 | 3 | 4 | 32,404 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
25 | 3 | 10 | 4 | 4 | 3 | 3 | 2 | 0 | 2 | 1 | 1 | 2 | 23,255 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
50 | 1 | 23 | 2 | 4 | 2 | 5 | 6 | 0 | 3 | 1 | 0 | 3 | 28,269 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
39 | 1 | 15 | 3 | 5 | 3 | 4 | 3 | 1 | 1 | 1 | 1 | 2 | 20,811 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
52 | 1 | 13 | 3 | 4 | 5 | 3 | 2 | 0 | 5 | 1 | 2 | 5 | 38,215 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
31 | 1 | 17 | 2 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 1 | 1 | 17,356 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
27 | 1 | 13 | 3 | 5 | 1 | 4 | 3 | 0 | 3 | 1 | 1 | 1 | 21,046 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
37 | 1 | 13 | 3 | 6 | 1 | 3 | 3 | 0 | 2 | 0 | 1 | 1 | 21,419 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
48 | 3 | 16 | 3 | 6 | 4 | 3 | 2 | 0 | 5 | 1 | 2 | 4 | 31,614 | 0 | 0 | 1 | 0 | 1 | 1 | 0 |
37 | 3 | 8 | 3 | 3 | 3 | 3 | 5 | 1 | 3 | 0 | 2 | 2 | 24,602 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
39 | 2 | 8 | 2 | 4 | 3 | 3 | 1 | 0 | 3 | 0 | 0 | 2 | 20,204 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
46 | 1 | 27 | 3 | 3 | 3 | 4 | 5 | 0 | 3 | 1 | 2 | 2 | 23,926 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
31 | 3 | 13 | 2 | 4 | 1 | 3 | 4 | 0 | 4 | 1 | 1 | 1 | 17,329 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
33 | 3 | 31 | 2 | 4 | 2 | 4 | 3 | 1 | 5 | 1 | 0 | 3 | 23,380 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
28 | 1 | 7 | 4 | 4 | 2 | 5 | 3 | 0 | 4 | 1 | 3 | 3 | 26,090 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
38 | 1 | 16 | 2 | 5 | 2 | 3 | 4 | 0 | 1 | 1 | 1 | 3 | 28,206 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
60 | 1 | 10 | 3 | 2 | 1 | 5 | 6 | 1 | 1 | 0 | 2 | 1 | 21,348 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
37 | 3 | 9 | 4 | 4 | 1 | 3 | 5 | 1 | 3 | 0 | 1 | 1 | 21,322 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
31 | 3 | 19 | 3 | 4 | 3 | 3 | 2 | 0 | 1 | 1 | 2 | 2 | 25,255 | 1 | 1 | 0 | 0 | 0 | 0 | 1 |
36 | 1 | 7 | 4 | 4 | 1 | 5 | 6 | 0 | 2 | 0 | 2 | 1 | 20,872 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
33 | 1 | 31 | 2 | 4 | 1 | 4 | 5 | 1 | 4 | 0 | 0 | 1 | 17,313 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
28 | 3 | 30 | 3 | 5 | 3 | 3 | 3 | 0 | 1 | 1 | 2 | 2 | 22,218 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
19 | 1 | 15 | 4 | 4 | 1 | 3 | 3 | 0 | 5 | 0 | 1 | 1 | 20,582 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
25 | 1 | 36 | 4 | 4 | 1 | 5 | 3 | 0 | 4 | 1 | 2 | 1 | 22,585 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
37 | 1 | 25 | 3 | 3 | 1 | 3 | 6 | 0 | 5 | 0 | 1 | 1 | 22,366 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
35 | 1 | 29 | 2 | 4 | 3 | 3 | 4 | 1 | 4 | 1 | 1 | 2 | 20,916 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
59 | 1 | 9 | 4 | 5 | 2 | 3 | 2 | 0 | 5 | 0 | 1 | 3 | 21,050 | 1 | 1 | 0 | 0 | 0 | 1 | 0 |
30 | 1 | 28 | 2 | 3 | 1 | 3 | 5 | 1 | 2 | 0 | 1 | 1 | 17,132 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
39 | 1 | 6 | 3 | 3 | 1 | 3 | 1 | 0 | 3 | 0 | 1 | 1 | 17,232 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
35 | 3 | 14 | 3 | 4 | 2 | 3 | 5 | 1 | 5 | 1 | 2 | 3 | 25,377 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
28 | 1 | 24 | 3 | 4 | 1 | 4 | 2 | 1 | 4 | 0 | 1 | 1 | 21,736 | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
49 | 3 | 14 | 2 | 4 | 4 | 4 | 7 | 0 | 4 | 1 | 0 | 4 | 28,120 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
37 | 1 | 11 | 3 | 3 | 3 | 3 | 1 | 0 | 3 | 1 | 2 | 2 | 21,347 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
40 | 1 | 29 | 3 | 4 | 2 | 5 | 3 | 1 | 5 | 1 | 2 | 3 | 29,558 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
48 | 1 | 16 | 4 | 4 | 1 | 3 | 6 | 0 | 3 | 1 | 1 | 1 | 20,783 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
41 | 1 | 9 | 3 | 5 | 1 | 3 | 2 | 1 | 3 | 0 | 1 | 1 | 21,020 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
26 | 3 | 10 | 4 | 4 | 3 | 5 | 3 | 1 | 4 | 1 | 1 | 2 | 22,872 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
26 | 2 | 26 | 3 | 3 | 1 | 4 | 1 | 1 | 3 | 0 | 1 | 1 | 17,148 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
33 | 1 | 9 | 4 | 4 | 1 | 3 | 2 | 0 | 5 | 1 | 2 | 1 | 21,746 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
35 | 1 | 9 | 4 | 4 | 3 | 3 | 4 | 0 | 4 | 1 | 3 | 2 | 22,711 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
32 | 1 | 15 | 3 | 3 | 3 | 3 | 2 | 1 | 5 | 1 | 2 | 2 | 21,322 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
37 | 1 | 19 | 3 | 5 | 2 | 3 | 2 | 0 | 1 | 1 | 1 | 3 | 27,536 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
46 | 1 | 36 | 3 | 4 | 2 | 3 | 6 | 1 | 5 | 1 | 1 | 3 | 28,058 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
31 | 3 | 13 | 2 | 4 | 1 | 3 | 4 | 0 | 4 | 1 | 1 | 1 | 17,329 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
32 | 3 | 6 | 3 | 4 | 1 | 4 | 1 | 0 | 1 | 0 | 2 | 1 | 17,269 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
45 | 1 | 15 | 4 | 2 | 1 | 3 | 4 | 1 | 3 | 1 | 1 | 1 | 21,496 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
25 | 3 | 11 | 2 | 4 | 3 | 3 | 2 | 1 | 3 | 0 | 1 | 2 | 20,744 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
53 | 1 | 10 | 3 | 5 | 2 | 3 | 4 | 1 | 1 | 1 | 1 | 3 | 26,647 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
49 | 1 | 11 | 4 | 5 | 2 | 3 | 2 | 0 | 5 | 1 | 1 | 3 | 29,677 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
38 | 3 | 9 | 2 | 3 | 3 | 3 | 1 | 1 | 3 | 1 | 1 | 2 | 21,861 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
39 | 3 | 11 | 2 | 3 | 3 | 3 | 4 | 0 | 2 | 0 | 1 | 2 | 17,086 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
41 | 3 | 23 | 4 | 4 | 2 | 3 | 4 | 0 | 5 | 0 | 2 | 3 | 22,222 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
34 | 1 | 22 | 3 | 4 | 1 | 3 | 2 | 0 | 5 | 1 | 1 | 1 | 17,553 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
33 | 1 | 6 | 3 | 3 | 2 | 3 | 2 | 1 | 1 | 1 | 0 | 3 | 28,458 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
49 | 1 | 24 | 2 | 4 | 5 | 3 | 2 | 1 | 3 | 1 | 0 | 5 | 34,502 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
32 | 1 | 11 | 2 | 1 | 1 | 3 | 4 | 0 | 5 | 1 | 1 | 1 | 18,312 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
32 | 1 | 36 | 4 | 5 | 1 | 4 | 2 | 0 | 3 | 1 | 3 | 1 | 22,157 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
39 | 1 | 36 | 4 | 4 | 3 | 5 | 2 | 1 | 3 | 0 | 2 | 2 | 25,351 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
54 | 2 | 32 | 1 | 1 | 4 | 3 | 3 | 1 | 3 | 1 | 0 | 4 | 32,328 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
45 | 1 | 31 | 3 | 4 | 1 | 3 | 5 | 1 | 5 | 0 | 2 | 1 | 21,839 | 0 | 0 | 1 | 0 | 1 | 1 | 0 |
32 | 3 | 20 | 3 | 4 | 3 | 5 | 4 | 0 | 1 | 0 | 2 | 2 | 22,911 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
32 | 3 | 11 | 2 | 3 | 3 | 4 | 2 | 0 | 3 | 1 | 1 | 2 | 21,524 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
35 | 1 | 9 | 3 | 5 | 3 | 3 | 3 | 0 | 4 | 0 | 2 | 2 | 28,225 | 0 | 0 | 1 | 0 | 1 | 1 | 0 |
29 | 1 | 16 | 3 | 4 | 1 | 5 | 7 | 1 | 5 | 1 | 1 | 1 | 17,404 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
31 | 1 | 10 | 3 | 4 | 1 | 5 | 7 | 1 | 4 | 1 | 2 | 1 | 21,335 | 1 | 1 | 0 | 0 | 0 | 0 | 1 |
41 | 1 | 11 | 2 | 1 | 3 | 4 | 4 | 0 | 5 | 1 | 0 | 2 | 21,870 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
46 | 1 | 14 | 3 | 4 | 1 | 3 | 6 | 1 | 3 | 0 | 2 | 1 | 23,155 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
57 | 3 | 18 | 3 | 5 | 3 | 5 | 6 | 0 | 5 | 0 | 2 | 2 | 24,058 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
43 | 1 | 26 | 3 | 3 | 1 | 3 | 8 | 1 | 3 | 1 | 2 | 1 | 21,437 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
49 | 1 | 14 | 2 | 3 | 2 | 4 | 5 | 0 | 4 | 0 | 1 | 3 | 22,403 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
60 | 3 | 22 | 2 | 3 | 3 | 5 | 1 | 0 | 4 | 1 | 1 | 2 | 20,405 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
30 | 3 | 16 | 3 | 4 | 3 | 3 | 2 | 0 | 2 | 1 | 0 | 2 | 21,578 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
37 | 1 | 13 | 1 | 3 | 2 | 3 | 5 | 0 | 2 | 0 | 0 | 3 | 28,664 | 1 | 0 | 0 | 1 | 1 | 0 | 1 |
38 | 1 | 10 | 3 | 4 | 2 | 3 | 3 | 0 | 2 | 1 | 1 | 3 | 28,112 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
42 | 3 | 11 | 2 | 3 | 5 | 3 | 7 | 0 | 4 | 0 | 1 | 5 | 33,303 | 1 | 0 | 0 | 1 | 1 | 1 | 0 |
59 | 1 | 30 | 3 | 4 | 1 | 3 | 3 | 0 | 3 | 1 | 2 | 1 | 21,050 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
38 | 1 | 21 | 3 | 4 | 2 | 3 | 1 | 1 | 5 | 1 | 2 | 3 | 26,510 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
51 | 3 | 8 | 2 | 3 | 2 | 4 | 3 | 0 | 4 | 0 | 0 | 3 | 25,596 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
32 | 1 | 14 | 3 | 1 | 3 | 3 | 6 | 0 | 3 | 1 | 2 | 2 | 20,175 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
46 | 3 | 33 | 4 | 4 | 3 | 5 | 4 | 0 | 1 | 0 | 3 | 2 | 22,964 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
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