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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 19 missing columns ({'MonthlyIncome', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'DurationOfPitch', 'CityTier', 'MaritalStatus', 'Age', 'Designation', 'PitchSatisfactionScore', 'TypeofContact', 'Occupation', 'Unnamed: 0', 'OwnCar', 'Passport', 'NumberOfTrips', 'Gender', 'ProductPitched', 'NumberOfFollowups', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SantoshS23/TourismPackage/y_train.csv (at revision f9c8022c522e18e34231519d08d7f6bfc13c6c58), [/tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/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 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
ProdTaken: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
to
{'Unnamed: 0': Value('int64'), 'Age': Value('float64'), 'TypeofContact': Value('int64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('int64'), 'Gender': Value('int64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('int64'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('int64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('int64'), '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 19 missing columns ({'MonthlyIncome', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'DurationOfPitch', 'CityTier', 'MaritalStatus', 'Age', 'Designation', 'PitchSatisfactionScore', 'TypeofContact', 'Occupation', 'Unnamed: 0', 'OwnCar', 'Passport', 'NumberOfTrips', 'Gender', 'ProductPitched', 'NumberOfFollowups', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SantoshS23/TourismPackage/y_train.csv (at revision f9c8022c522e18e34231519d08d7f6bfc13c6c58), [/tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/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.
Unnamed: 0
int64 | Age
float64 | TypeofContact
int64 | CityTier
int64 | DurationOfPitch
float64 | Occupation
int64 | Gender
int64 | NumberOfPersonVisiting
int64 | NumberOfFollowups
float64 | ProductPitched
int64 | PreferredPropertyStar
float64 | MaritalStatus
int64 | NumberOfTrips
float64 | Passport
int64 | PitchSatisfactionScore
int64 | OwnCar
int64 | NumberOfChildrenVisiting
float64 | Designation
int64 | MonthlyIncome
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,923
| 26
| 0
| 2
| 23
| 2
| 1
| 2
| 3
| 0
| 3
| 1
| 1
| 1
| 5
| 0
| 1
| 1
| 17,741
|
597
| 42
| 1
| 1
| 6
| 2
| 1
| 2
| 4
| 1
| 3
| 0
| 1
| 1
| 3
| 0
| 1
| 2
| 21,062
|
4,701
| 56
| 0
| 1
| 9
| 2
| 2
| 4
| 4
| 3
| 4
| 1
| 5
| 0
| 1
| 0
| 2
| 3
| 29,654
|
4,662
| 27
| 0
| 3
| 36
| 3
| 2
| 4
| 6
| 1
| 5
| 3
| 2
| 0
| 3
| 1
| 2
| 2
| 23,647
|
2,821
| 37
| 1
| 1
| 9
| 2
| 1
| 4
| 4
| 0
| 3
| 0
| 6
| 0
| 5
| 1
| 1
| 1
| 21,221
|
2,420
| 31
| 1
| 2
| 28
| 2
| 2
| 2
| 5
| 0
| 3
| 1
| 2
| 0
| 1
| 0
| 1
| 1
| 24,852
|
1,468
| 49
| 0
| 3
| 8
| 3
| 2
| 3
| 4
| 1
| 4
| 1
| 3
| 0
| 3
| 1
| 2
| 2
| 20,390
|
1,785
| 43
| 0
| 1
| 16
| 2
| 1
| 2
| 3
| 0
| 3
| 2
| 1
| 0
| 5
| 0
| 0
| 1
| 17,455
|
4,619
| 40
| 1
| 3
| 9
| 2
| 2
| 3
| 2
| 3
| 3
| 3
| 2
| 0
| 1
| 0
| 1
| 3
| 26,558
|
2,607
| 58
| 1
| 1
| 31
| 2
| 2
| 3
| 3
| 3
| 3
| 1
| 5
| 1
| 4
| 1
| 2
| 3
| 28,117
|
2,727
| 56
| 1
| 1
| 27
| 1
| 2
| 3
| 4
| 1
| 3
| 0
| 5
| 1
| 2
| 1
| 2
| 2
| 24,093
|
401
| 56
| 0
| 3
| 12
| 2
| 1
| 2
| 2
| 4
| 5
| 0
| 1
| 0
| 3
| 1
| 0
| 0
| 28,212
|
4,876
| 52
| 1
| 3
| 34
| 2
| 2
| 3
| 4
| 1
| 3
| 2
| 3
| 1
| 5
| 1
| 2
| 2
| 32,704
|
2,352
| 36
| 1
| 1
| 7
| 1
| 1
| 3
| 5
| 3
| 5
| 1
| 3
| 1
| 1
| 1
| 0
| 3
| 25,252
|
586
| 24
| 0
| 1
| 15
| 2
| 2
| 2
| 4
| 0
| 4
| 1
| 2
| 0
| 5
| 1
| 0
| 1
| 17,694
|
702
| 30
| 1
| 3
| 14
| 2
| 2
| 3
| 3
| 3
| 3
| 1
| 6
| 0
| 3
| 1
| 0
| 3
| 22,264
|
2,404
| 25
| 1
| 1
| 15
| 2
| 2
| 2
| 3
| 0
| 5
| 2
| 4
| 0
| 1
| 1
| 0
| 1
| 17,096
|
3,462
| 37
| 1
| 1
| 11
| 2
| 2
| 3
| 5
| 1
| 3
| 3
| 3
| 0
| 5
| 1
| 2
| 2
| 24,488
|
1,983
| 20
| 1
| 1
| 16
| 3
| 2
| 2
| 3
| 0
| 3
| 2
| 2
| 1
| 5
| 1
| 1
| 1
| 16,009
|
3,370
| 44
| 1
| 3
| 11
| 3
| 1
| 3
| 5
| 3
| 3
| 2
| 5
| 0
| 3
| 1
| 1
| 3
| 28,909
|
4,573
| 29
| 1
| 3
| 12
| 3
| 2
| 4
| 4
| 1
| 3
| 3
| 3
| 0
| 3
| 0
| 2
| 2
| 23,586
|
4,525
| 36
| 1
| 1
| 14
| 2
| 2
| 3
| 4
| 3
| 3
| 2
| 5
| 0
| 3
| 0
| 2
| 3
| 28,899
|
3,180
| 49
| 1
| 1
| 11
| 2
| 2
| 4
| 5
| 3
| 3
| 2
| 2
| 0
| 5
| 1
| 2
| 3
| 29,677
|
74
| 36
| 1
| 1
| 12
| 2
| 1
| 2
| 2
| 1
| 3
| 0
| 4
| 0
| 2
| 0
| 0
| 2
| 18,038
|
4,301
| 41
| 1
| 3
| 9
| 3
| 1
| 3
| 4
| 1
| 4
| 1
| 2
| 0
| 1
| 0
| 1
| 2
| 24,393
|
3,099
| 34
| 1
| 2
| 10
| 2
| 2
| 3
| 4
| 0
| 4
| 1
| 5
| 1
| 5
| 0
| 2
| 1
| 20,955
|
2,726
| 30
| 0
| 3
| 9
| 2
| 2
| 3
| 4
| 1
| 3
| 3
| 3
| 0
| 2
| 0
| 1
| 2
| 23,232
|
311
| 45
| 0
| 1
| 13
| 2
| 2
| 3
| 3
| 3
| 5
| 1
| 2
| 0
| 2
| 1
| 2
| 3
| 20,210
|
4,197
| 56
| 1
| 1
| 27
| 1
| 2
| 3
| 4
| 1
| 3
| 1
| 5
| 1
| 1
| 0
| 1
| 2
| 24,093
|
2,197
| 18
| 0
| 1
| 11
| 2
| 2
| 3
| 3
| 0
| 3
| 2
| 2
| 0
| 1
| 0
| 1
| 1
| 16,051
|
4,218
| 40
| 1
| 1
| 7
| 3
| 2
| 3
| 2
| 3
| 3
| 1
| 2
| 0
| 3
| 1
| 1
| 3
| 28,291
|
2,032
| 33
| 1
| 1
| 6
| 2
| 2
| 3
| 3
| 0
| 3
| 2
| 2
| 1
| 3
| 1
| 0
| 1
| 17,686
|
4,252
| 31
| 1
| 3
| 12
| 3
| 1
| 2
| 5
| 1
| 3
| 1
| 3
| 0
| 1
| 1
| 1
| 2
| 24,796
|
3,271
| 29
| 0
| 1
| 13
| 2
| 2
| 3
| 5
| 0
| 3
| 1
| 3
| 1
| 4
| 1
| 1
| 1
| 21,381
|
2,332
| 44
| 0
| 1
| 23
| 2
| 2
| 3
| 5
| 0
| 3
| 2
| 3
| 0
| 4
| 1
| 1
| 1
| 17,290
|
83
| 38
| 0
| 1
| 12
| 3
| 1
| 3
| 5
| 1
| 3
| 1
| 1
| 1
| 2
| 0
| 2
| 2
| 20,329
|
2,222
| 36
| 1
| 1
| 22
| 2
| 1
| 2
| 1
| 0
| 5
| 2
| 2
| 0
| 1
| 1
| 0
| 1
| 17,743
|
1,907
| 30
| 1
| 3
| 13
| 3
| 2
| 2
| 3
| 0
| 4
| 2
| 1
| 0
| 1
| 0
| 0
| 1
| 17,983
|
273
| 37
| 1
| 3
| 12
| 3
| 2
| 3
| 3
| 1
| 3
| 0
| 5
| 0
| 3
| 0
| 0
| 2
| 21,502
|
4,266
| 49
| 1
| 3
| 36
| 3
| 1
| 4
| 4
| 3
| 3
| 1
| 5
| 0
| 4
| 0
| 2
| 3
| 31,182
|
3,857
| 26
| 1
| 1
| 9
| 2
| 2
| 3
| 4
| 0
| 3
| 1
| 8
| 1
| 5
| 0
| 1
| 1
| 22,655
|
3,503
| 36
| 1
| 3
| 14
| 2
| 2
| 4
| 4
| 0
| 3
| 0
| 3
| 0
| 3
| 1
| 1
| 1
| 21,082
|
2,505
| 39
| 0
| 1
| 36
| 2
| 1
| 3
| 4
| 1
| 3
| 2
| 3
| 0
| 3
| 1
| 1
| 2
| 21,084
|
1,985
| 35
| 0
| 1
| 9
| 2
| 2
| 2
| 4
| 0
| 3
| 1
| 2
| 0
| 1
| 1
| 1
| 1
| 16,281
|
110
| 51
| 0
| 1
| 6
| 3
| 1
| 1
| 4
| 3
| 5
| 3
| 4
| 0
| 2
| 1
| 0
| 3
| 22,484
|
1,956
| 37
| 1
| 3
| 8
| 3
| 2
| 3
| 3
| 1
| 3
| 1
| 5
| 1
| 3
| 0
| 2
| 2
| 24,602
|
4,529
| 28
| 0
| 1
| 10
| 3
| 2
| 3
| 4
| 0
| 3
| 1
| 3
| 0
| 1
| 0
| 1
| 1
| 20,384
|
2,358
| 35
| 0
| 3
| 14
| 3
| 1
| 3
| 4
| 3
| 3
| 1
| 5
| 1
| 5
| 1
| 2
| 3
| 25,377
|
3,585
| 31
| 1
| 1
| 14
| 3
| 2
| 3
| 5
| 0
| 4
| 1
| 3
| 0
| 5
| 0
| 1
| 1
| 20,819
|
1,312
| 31
| 1
| 2
| 24
| 2
| 2
| 2
| 1
| 0
| 5
| 1
| 1
| 0
| 1
| 1
| 0
| 1
| 17,956
|
3,694
| 30
| 0
| 1
| 7
| 2
| 2
| 4
| 2
| 1
| 3
| 3
| 2
| 1
| 3
| 0
| 2
| 2
| 24,972
|
1,908
| 35
| 1
| 1
| 22
| 2
| 2
| 3
| 3
| 3
| 3
| 1
| 5
| 1
| 1
| 0
| 0
| 3
| 22,632
|
4,132
| 46
| 0
| 3
| 13
| 3
| 0
| 3
| 5
| 3
| 3
| 3
| 8
| 0
| 4
| 1
| 1
| 3
| 27,543
|
4,790
| 21
| 1
| 3
| 28
| 3
| 2
| 3
| 2
| 0
| 3
| 3
| 3
| 0
| 3
| 1
| 2
| 1
| 21,356
|
545
| 30
| 1
| 3
| 33
| 3
| 2
| 2
| 3
| 1
| 3
| 1
| 1
| 0
| 3
| 1
| 0
| 2
| 20,304
|
4,273
| 37
| 0
| 3
| 10
| 3
| 2
| 3
| 5
| 3
| 3
| 1
| 6
| 0
| 1
| 0
| 1
| 3
| 28,377
|
4,458
| 48
| 0
| 3
| 10
| 3
| 1
| 3
| 4
| 4
| 3
| 1
| 2
| 1
| 5
| 1
| 1
| 0
| 32,448
|
3,868
| 36
| 1
| 1
| 16
| 3
| 2
| 3
| 4
| 1
| 3
| 3
| 3
| 0
| 4
| 0
| 2
| 2
| 23,776
|
1,377
| 49
| 0
| 1
| 8
| 2
| 2
| 2
| 3
| 2
| 3
| 1
| 4
| 0
| 3
| 1
| 0
| 4
| 34,161
|
2,164
| 33
| 1
| 1
| 6
| 2
| 1
| 2
| 4
| 1
| 3
| 3
| 1
| 0
| 4
| 1
| 1
| 2
| 21,949
|
2,593
| 20
| 1
| 1
| 10
| 3
| 1
| 4
| 4
| 0
| 4
| 2
| 3
| 0
| 3
| 1
| 3
| 1
| 20,161
|
4,559
| 30
| 1
| 3
| 7
| 3
| 1
| 3
| 5
| 0
| 3
| 1
| 8
| 1
| 1
| 1
| 2
| 1
| 21,478
|
2,710
| 32
| 1
| 1
| 30
| 3
| 2
| 4
| 5
| 1
| 3
| 0
| 2
| 0
| 3
| 1
| 2
| 2
| 24,260
|
2,065
| 58
| 1
| 1
| 8
| 2
| 2
| 2
| 3
| 2
| 4
| 2
| 1
| 1
| 3
| 1
| 0
| 4
| 34,246
|
3,373
| 29
| 0
| 1
| 9
| 2
| 2
| 3
| 5
| 0
| 3
| 0
| 3
| 1
| 4
| 1
| 1
| 1
| 22,545
|
4,083
| 33
| 1
| 1
| 13
| 2
| 2
| 3
| 4
| 0
| 3
| 3
| 5
| 0
| 1
| 0
| 2
| 1
| 21,716
|
1,621
| 35
| 1
| 3
| 6
| 3
| 2
| 3
| 3
| 3
| 4
| 1
| 2
| 0
| 4
| 0
| 0
| 3
| 22,295
|
1,911
| 42
| 0
| 1
| 11
| 2
| 2
| 3
| 3
| 0
| 3
| 1
| 5
| 0
| 3
| 0
| 1
| 1
| 17,093
|
348
| 42
| 1
| 1
| 29
| 2
| 1
| 2
| 3
| 4
| 3
| 2
| 3
| 0
| 3
| 0
| 0
| 0
| 30,992
|
901
| 48
| 1
| 1
| 8
| 1
| 2
| 3
| 1
| 0
| 4
| 2
| 6
| 0
| 2
| 0
| 2
| 1
| 17,559
|
339
| 27
| 1
| 3
| 14
| 3
| 1
| 2
| 3
| 1
| 4
| 0
| 2
| 0
| 2
| 0
| 0
| 2
| 21,214
|
2,940
| 22
| 1
| 3
| 29
| 1
| 2
| 3
| 4
| 0
| 3
| 3
| 3
| 0
| 2
| 1
| 2
| 1
| 22,125
|
780
| 28
| 0
| 1
| 30
| 1
| 2
| 3
| 4
| 3
| 5
| 3
| 2
| 0
| 2
| 0
| 0
| 3
| 23,722
|
2,830
| 38
| 1
| 1
| 21
| 2
| 1
| 4
| 4
| 0
| 5
| 1
| 3
| 0
| 4
| 1
| 1
| 1
| 21,712
|
1,515
| 41
| 1
| 1
| 18
| 1
| 1
| 2
| 3
| 2
| 3
| 1
| 2
| 0
| 4
| 1
| 1
| 4
| 34,545
|
2,191
| 50
| 1
| 1
| 30
| 2
| 2
| 3
| 3
| 4
| 3
| 1
| 4
| 1
| 4
| 1
| 2
| 0
| 28,973
|
4,671
| 35
| 1
| 3
| 7
| 3
| 2
| 4
| 2
| 1
| 3
| 1
| 2
| 0
| 5
| 0
| 2
| 2
| 28,403
|
3,175
| 21
| 1
| 1
| 18
| 3
| 1
| 4
| 5
| 0
| 5
| 3
| 3
| 1
| 3
| 0
| 2
| 1
| 21,278
|
1,504
| 24
| 1
| 1
| 6
| 3
| 2
| 3
| 3
| 0
| 3
| 1
| 3
| 1
| 3
| 0
| 2
| 1
| 17,293
|
1,845
| 49
| 1
| 1
| 13
| 2
| 2
| 2
| 4
| 3
| 3
| 3
| 1
| 0
| 1
| 1
| 0
| 3
| 25,965
|
529
| 38
| 1
| 1
| 6
| 2
| 1
| 2
| 2
| 1
| 3
| 3
| 1
| 0
| 2
| 1
| 1
| 2
| 22,625
|
4,501
| 53
| 1
| 1
| 18
| 2
| 1
| 3
| 4
| 1
| 3
| 1
| 2
| 0
| 1
| 1
| 1
| 2
| 21,827
|
3,696
| 35
| 1
| 1
| 9
| 3
| 2
| 4
| 2
| 0
| 3
| 1
| 2
| 1
| 1
| 0
| 2
| 1
| 21,610
|
3,968
| 27
| 1
| 3
| 30
| 3
| 1
| 3
| 5
| 1
| 3
| 1
| 2
| 1
| 1
| 0
| 1
| 2
| 22,835
|
635
| 35
| 1
| 1
| 15
| 2
| 1
| 3
| 4
| 3
| 3
| 0
| 2
| 1
| 4
| 1
| 1
| 3
| 25,685
|
3,230
| 28
| 0
| 1
| 15
| 2
| 2
| 3
| 6
| 0
| 3
| 0
| 3
| 0
| 2
| 1
| 2
| 1
| 23,299
|
2,317
| 34
| 0
| 1
| 7
| 3
| 2
| 3
| 4
| 1
| 5
| 2
| 1
| 0
| 1
| 0
| 0
| 2
| 20,343
|
4,416
| 54
| 1
| 3
| 7
| 3
| 0
| 3
| 4
| 1
| 5
| 3
| 2
| 0
| 1
| 1
| 2
| 2
| 27,059
|
1,579
| 22
| 1
| 1
| 21
| 3
| 1
| 2
| 3
| 0
| 3
| 2
| 2
| 0
| 1
| 1
| 1
| 1
| 17,871
|
3,209
| 39
| 0
| 1
| 10
| 2
| 2
| 3
| 4
| 0
| 3
| 0
| 5
| 0
| 3
| 1
| 2
| 1
| 21,499
|
1,075
| 32
| 1
| 1
| 16
| 3
| 2
| 1
| 3
| 3
| 3
| 3
| 3
| 0
| 1
| 0
| 0
| 3
| 26,244
|
626
| 32
| 1
| 1
| 14
| 3
| 1
| 3
| 1
| 1
| 3
| 0
| 6
| 0
| 3
| 1
| 2
| 2
| 20,175
|
3,565
| 37
| 1
| 3
| 7
| 2
| 0
| 4
| 4
| 1
| 3
| 3
| 8
| 0
| 1
| 1
| 2
| 2
| 25,493
|
3,546
| 37
| 1
| 3
| 9
| 2
| 2
| 4
| 4
| 0
| 3
| 3
| 5
| 1
| 3
| 0
| 1
| 1
| 21,322
|
687
| 36
| 1
| 1
| 8
| 3
| 2
| 3
| 3
| 0
| 3
| 2
| 5
| 0
| 5
| 1
| 0
| 1
| 17,519
|
697
| 29
| 0
| 3
| 26
| 1
| 1
| 2
| 3
| 0
| 3
| 0
| 2
| 0
| 3
| 0
| 1
| 1
| 17,157
|
1,743
| 37
| 1
| 3
| 12
| 3
| 2
| 3
| 3
| 1
| 3
| 1
| 5
| 0
| 3
| 1
| 0
| 2
| 21,502
|
2,184
| 50
| 1
| 1
| 6
| 3
| 2
| 3
| 3
| 4
| 3
| 1
| 1
| 0
| 5
| 0
| 2
| 0
| 32,399
|
758
| 59
| 1
| 3
| 6
| 1
| 2
| 3
| 3
| 3
| 3
| 0
| 4
| 1
| 2
| 0
| 1
| 3
| 26,904
|
551
| 39
| 1
| 2
| 9
| 2
| 1
| 2
| 2
| 1
| 4
| 0
| 1
| 0
| 2
| 1
| 0
| 2
| 21,389
|
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