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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 ({'MaritalStatus', 'TypeofContact', 'NumberOfTrips', 'PitchSatisfactionScore', 'Occupation', 'Age', 'MonthlyIncome', 'NumberOfFollowups', 'ProductPitched', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'CityTier', 'Passport', 'PreferredPropertyStar', 'DurationOfPitch', 'OwnCar', 'Designation', 'Gender', 'Unnamed: 0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Disha252001/Tour_dataset/processed/y_train.csv (at revision 88e3f2f2dcd7fd5ed8c18029ace27ee6373949d4)
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
-- 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 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'}) and 19 missing columns ({'MaritalStatus', 'TypeofContact', 'NumberOfTrips', 'PitchSatisfactionScore', 'Occupation', 'Age', 'MonthlyIncome', 'NumberOfFollowups', 'ProductPitched', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'CityTier', 'Passport', 'PreferredPropertyStar', 'DurationOfPitch', 'OwnCar', 'Designation', 'Gender', 'Unnamed: 0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Disha252001/Tour_dataset/processed/y_train.csv (at revision 88e3f2f2dcd7fd5ed8c18029ace27ee6373949d4)
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,850
| 55
| 1
| 1
| 17
| 3
| 1
| 4
| 4
| 1
| 5
| 3
| 8
| 1
| 1
| 0
| 1
| 2
| 23,118
|
2,463
| 39
| 1
| 1
| 9
| 2
| 2
| 3
| 4
| 0
| 3
| 3
| 7
| 1
| 4
| 0
| 2
| 1
| 22,622
|
878
| 42
| 0
| 2
| 8
| 3
| 2
| 3
| 1
| 1
| 5
| 0
| 1
| 0
| 2
| 0
| 2
| 2
| 21,272
|
2,482
| 37
| 1
| 1
| 12
| 2
| 1
| 3
| 5
| 0
| 5
| 0
| 2
| 1
| 2
| 1
| 1
| 1
| 98,678
|
3,074
| 23
| 1
| 1
| 7
| 2
| 2
| 3
| 5
| 1
| 3
| 0
| 8
| 0
| 2
| 1
| 1
| 2
| 23,453
|
3,002
| 33
| 0
| 1
| 31
| 2
| 2
| 4
| 4
| 1
| 3
| 0
| 3
| 0
| 4
| 1
| 1
| 2
| 23,987
|
1,261
| 38
| 1
| 1
| 24
| 3
| 2
| 2
| 5
| 1
| 3
| 1
| 4
| 1
| 5
| 0
| 1
| 2
| 20,811
|
3,187
| 60
| 1
| 1
| 9
| 2
| 1
| 4
| 5
| 4
| 3
| 2
| 5
| 1
| 5
| 0
| 3
| 0
| 32,404
|
2,230
| 53
| 0
| 3
| 8
| 3
| 1
| 2
| 4
| 3
| 4
| 1
| 3
| 0
| 1
| 1
| 0
| 3
| 22,525
|
3,643
| 37
| 1
| 1
| 33
| 2
| 2
| 4
| 4
| 1
| 3
| 1
| 8
| 0
| 3
| 1
| 1
| 2
| 24,025
|
1,897
| 60
| 0
| 3
| 34
| 3
| 1
| 3
| 4
| 3
| 5
| 1
| 5
| 0
| 1
| 1
| 0
| 3
| 25,266
|
4,738
| 43
| 1
| 1
| 36
| 3
| 2
| 3
| 6
| 1
| 3
| 3
| 6
| 0
| 3
| 1
| 2
| 2
| 22,950
|
1,480
| 35
| 1
| 1
| 22
| 3
| 2
| 2
| 1
| 0
| 4
| 1
| 1
| 0
| 4
| 1
| 1
| 1
| 17,426
|
4,557
| 43
| 1
| 1
| 10
| 2
| 1
| 4
| 2
| 1
| 3
| 1
| 4
| 1
| 5
| 1
| 1
| 2
| 23,909
|
994
| 52
| 0
| 1
| 34
| 3
| 1
| 2
| 1
| 4
| 3
| 0
| 3
| 1
| 4
| 0
| 0
| 0
| 28,247
|
3,104
| 59
| 0
| 1
| 9
| 2
| 2
| 3
| 5
| 0
| 3
| 1
| 2
| 1
| 2
| 0
| 1
| 1
| 21,058
|
9
| 36
| 1
| 1
| 33
| 3
| 2
| 3
| 3
| 1
| 3
| 0
| 7
| 0
| 3
| 1
| 0
| 2
| 20,237
|
3,825
| 29
| 0
| 1
| 23
| 3
| 2
| 3
| 4
| 0
| 3
| 2
| 3
| 0
| 3
| 0
| 1
| 1
| 20,822
|
4,425
| 37
| 1
| 1
| 16
| 3
| 2
| 3
| 5
| 1
| 4
| 1
| 4
| 1
| 4
| 0
| 2
| 2
| 27,525
|
198
| 38
| 1
| 1
| 8
| 2
| 2
| 2
| 3
| 1
| 3
| 0
| 1
| 0
| 2
| 0
| 1
| 2
| 21,553
|
1,012
| 31
| 0
| 3
| 6
| 2
| 1
| 2
| 5
| 0
| 3
| 2
| 2
| 0
| 3
| 1
| 1
| 1
| 16,359
|
3,069
| 46
| 1
| 3
| 16
| 3
| 2
| 4
| 4
| 3
| 5
| 1
| 6
| 1
| 2
| 1
| 1
| 3
| 29,439
|
4,873
| 41
| 1
| 3
| 14
| 3
| 2
| 3
| 4
| 0
| 4
| 3
| 3
| 0
| 5
| 0
| 1
| 1
| 23,339
|
2,443
| 35
| 1
| 1
| 13
| 2
| 2
| 3
| 3
| 0
| 4
| 2
| 2
| 1
| 3
| 1
| 1
| 1
| 20,363
|
2,016
| 29
| 1
| 3
| 16
| 2
| 2
| 3
| 3
| 0
| 3
| 2
| 2
| 0
| 4
| 1
| 0
| 1
| 17,642
|
1,561
| 51
| 1
| 3
| 27
| 3
| 2
| 3
| 3
| 1
| 3
| 2
| 1
| 1
| 5
| 0
| 2
| 2
| 20,441
|
304
| 39
| 1
| 1
| 6
| 3
| 2
| 2
| 2
| 3
| 3
| 1
| 1
| 0
| 3
| 1
| 0
| 3
| 24,613
|
628
| 37
| 1
| 3
| 22
| 3
| 2
| 3
| 4
| 1
| 3
| 1
| 5
| 0
| 5
| 1
| 2
| 2
| 21,334
|
710
| 33
| 0
| 3
| 23
| 2
| 2
| 2
| 3
| 4
| 3
| 2
| 2
| 0
| 3
| 1
| 1
| 0
| 32,444
|
4,045
| 51
| 0
| 3
| 19
| 3
| 0
| 4
| 4
| 3
| 3
| 3
| 6
| 0
| 5
| 1
| 3
| 3
| 27,886
|
3,738
| 42
| 1
| 1
| 12
| 2
| 2
| 3
| 2
| 1
| 4
| 3
| 5
| 0
| 5
| 1
| 1
| 2
| 25,548
|
2,763
| 33
| 1
| 3
| 15
| 1
| 1
| 4
| 5
| 1
| 4
| 0
| 3
| 1
| 2
| 1
| 1
| 2
| 23,906
|
3,267
| 30
| 0
| 1
| 17
| 2
| 1
| 4
| 4
| 0
| 4
| 1
| 2
| 0
| 5
| 1
| 1
| 1
| 21,969
|
2,779
| 41
| 1
| 3
| 7
| 3
| 2
| 3
| 6
| 1
| 3
| 0
| 4
| 1
| 3
| 1
| 1
| 2
| 26,135
|
3,466
| 38
| 0
| 1
| 12
| 1
| 2
| 3
| 2
| 0
| 3
| 3
| 2
| 0
| 5
| 1
| 1
| 1
| 22,178
|
3,418
| 28
| 0
| 3
| 9
| 2
| 2
| 3
| 6
| 1
| 3
| 3
| 5
| 0
| 4
| 1
| 2
| 2
| 23,749
|
3,668
| 27
| 1
| 1
| 24
| 3
| 2
| 4
| 6
| 0
| 3
| 1
| 3
| 0
| 3
| 0
| 3
| 1
| 20,983
|
1,788
| 27
| 1
| 1
| 11
| 2
| 1
| 2
| 3
| 0
| 4
| 2
| 2
| 1
| 3
| 0
| 1
| 1
| 17,478
|
4,430
| 24
| 1
| 1
| 11
| 3
| 2
| 3
| 2
| 0
| 5
| 1
| 4
| 0
| 4
| 0
| 2
| 1
| 21,497
|
2,076
| 34
| 0
| 1
| 22
| 2
| 1
| 3
| 4
| 0
| 3
| 2
| 2
| 0
| 5
| 1
| 2
| 1
| 17,553
|
4,856
| 37
| 1
| 3
| 17
| 3
| 2
| 3
| 5
| 3
| 5
| 1
| 2
| 0
| 5
| 0
| 1
| 3
| 25,772
|
2,317
| 34
| 0
| 1
| 7
| 3
| 2
| 3
| 4
| 1
| 5
| 2
| 1
| 0
| 1
| 0
| 0
| 2
| 20,343
|
216
| 30
| 0
| 3
| 32
| 3
| 1
| 2
| 4
| 1
| 5
| 3
| 6
| 0
| 2
| 0
| 1
| 2
| 21,696
|
1,640
| 27
| 1
| 1
| 23
| 1
| 2
| 2
| 3
| 0
| 4
| 1
| 1
| 1
| 4
| 0
| 0
| 1
| 18,058
|
3,290
| 36
| 1
| 1
| 9
| 2
| 2
| 3
| 5
| 3
| 4
| 1
| 4
| 0
| 4
| 1
| 1
| 3
| 28,952
|
1,713
| 40
| 1
| 1
| 30
| 1
| 2
| 3
| 3
| 1
| 3
| 1
| 2
| 0
| 3
| 1
| 1
| 2
| 18,319
|
2,908
| 38
| 1
| 1
| 7
| 1
| 0
| 3
| 4
| 3
| 3
| 3
| 6
| 0
| 5
| 1
| 2
| 3
| 26,169
|
3,770
| 33
| 1
| 3
| 9
| 3
| 2
| 3
| 5
| 1
| 4
| 2
| 2
| 1
| 1
| 1
| 1
| 2
| 28,585
|
4,251
| 30
| 1
| 1
| 16
| 2
| 2
| 2
| 5
| 0
| 3
| 3
| 2
| 0
| 1
| 1
| 1
| 1
| 22,661
|
2,169
| 52
| 1
| 1
| 6
| 2
| 2
| 3
| 3
| 4
| 3
| 1
| 3
| 0
| 1
| 1
| 2
| 0
| 32,099
|
3,681
| 33
| 1
| 3
| 7
| 2
| 2
| 3
| 6
| 1
| 4
| 3
| 8
| 0
| 3
| 0
| 2
| 2
| 25,413
|
4,806
| 20
| 0
| 1
| 17
| 3
| 1
| 4
| 5
| 0
| 4
| 2
| 3
| 1
| 5
| 0
| 3
| 1
| 20,537
|
8
| 38
| 0
| 1
| 29
| 2
| 2
| 2
| 4
| 3
| 3
| 3
| 1
| 0
| 3
| 0
| 0
| 3
| 24,526
|
2,114
| 31
| 1
| 1
| 17
| 2
| 2
| 2
| 3
| 0
| 3
| 1
| 4
| 1
| 3
| 0
| 0
| 1
| 17,356
|
3,223
| 52
| 1
| 1
| 11
| 2
| 2
| 3
| 4
| 0
| 3
| 0
| 2
| 1
| 2
| 1
| 2
| 1
| 21,139
|
4,056
| 39
| 1
| 1
| 10
| 1
| 1
| 3
| 4
| 1
| 3
| 3
| 5
| 1
| 5
| 1
| 1
| 2
| 22,995
|
4,051
| 40
| 1
| 3
| 11
| 2
| 1
| 3
| 5
| 1
| 3
| 1
| 6
| 0
| 5
| 1
| 2
| 2
| 24,580
|
3,409
| 26
| 1
| 1
| 26
| 3
| 2
| 4
| 4
| 0
| 3
| 0
| 5
| 0
| 5
| 1
| 3
| 1
| 22,347
|
1,223
| 47
| 0
| 3
| 15
| 2
| 2
| 2
| 5
| 4
| 3
| 1
| 1
| 0
| 5
| 1
| 1
| 0
| 27,936
|
2,234
| 28
| 1
| 3
| 16
| 3
| 2
| 3
| 3
| 0
| 4
| 1
| 2
| 0
| 5
| 0
| 2
| 1
| 16,052
|
3,272
| 19
| 0
| 1
| 15
| 3
| 2
| 4
| 4
| 0
| 3
| 2
| 3
| 0
| 5
| 0
| 1
| 1
| 20,582
|
2,031
| 52
| 1
| 3
| 9
| 3
| 2
| 2
| 4
| 4
| 5
| 1
| 2
| 0
| 5
| 1
| 0
| 0
| 31,856
|
2,615
| 20
| 0
| 3
| 7
| 1
| 1
| 4
| 6
| 0
| 5
| 2
| 2
| 0
| 3
| 1
| 2
| 1
| 21,003
|
2,471
| 43
| 1
| 3
| 15
| 3
| 2
| 3
| 4
| 1
| 4
| 0
| 2
| 0
| 3
| 0
| 2
| 2
| 25,503
|
4,807
| 30
| 1
| 1
| 8
| 2
| 1
| 4
| 4
| 0
| 3
| 1
| 3
| 0
| 1
| 1
| 3
| 1
| 22,438
|
3,896
| 51
| 0
| 3
| 7
| 2
| 2
| 4
| 4
| 1
| 3
| 1
| 2
| 0
| 3
| 1
| 2
| 2
| 25,406
|
4,122
| 41
| 0
| 1
| 16
| 2
| 2
| 4
| 5
| 1
| 3
| 1
| 2
| 0
| 5
| 0
| 2
| 2
| 23,554
|
2,598
| 33
| 0
| 3
| 15
| 3
| 0
| 3
| 4
| 3
| 3
| 3
| 3
| 0
| 4
| 1
| 2
| 3
| 27,676
|
2,806
| 22
| 0
| 3
| 16
| 3
| 2
| 3
| 4
| 0
| 3
| 3
| 3
| 0
| 4
| 0
| 1
| 1
| 21,288
|
1,831
| 40
| 1
| 1
| 16
| 2
| 1
| 2
| 1
| 0
| 3
| 1
| 4
| 1
| 3
| 0
| 1
| 1
| 17,213
|
1,972
| 53
| 1
| 3
| 6
| 3
| 1
| 2
| 3
| 1
| 5
| 3
| 1
| 0
| 1
| 1
| 1
| 2
| 23,381
|
3,512
| 29
| 0
| 1
| 9
| 3
| 2
| 3
| 5
| 0
| 5
| 2
| 2
| 0
| 4
| 0
| 1
| 1
| 21,239
|
4,405
| 44
| 0
| 1
| 16
| 3
| 2
| 4
| 4
| 1
| 3
| 1
| 5
| 1
| 3
| 1
| 3
| 2
| 24,357
|
2,942
| 23
| 1
| 1
| 13
| 3
| 2
| 4
| 4
| 0
| 3
| 0
| 2
| 0
| 2
| 1
| 1
| 1
| 21,451
|
3,268
| 43
| 1
| 1
| 36
| 3
| 2
| 3
| 6
| 1
| 3
| 3
| 6
| 0
| 3
| 1
| 1
| 2
| 22,950
|
2,180
| 33
| 0
| 3
| 23
| 2
| 2
| 2
| 3
| 4
| 3
| 2
| 2
| 0
| 3
| 1
| 0
| 0
| 32,444
|
4,272
| 37
| 0
| 3
| 7
| 3
| 0
| 3
| 4
| 1
| 3
| 3
| 6
| 0
| 1
| 1
| 2
| 2
| 25,331
|
1,432
| 37
| 1
| 1
| 16
| 2
| 1
| 2
| 1
| 3
| 3
| 1
| 2
| 1
| 1
| 0
| 1
| 3
| 28,744
|
4,241
| 40
| 1
| 3
| 10
| 3
| 1
| 3
| 4
| 1
| 3
| 1
| 6
| 1
| 4
| 1
| 2
| 2
| 23,916
|
4,510
| 36
| 1
| 1
| 7
| 2
| 1
| 3
| 2
| 0
| 3
| 2
| 5
| 0
| 3
| 1
| 2
| 1
| 21,184
|
3,636
| 50
| 1
| 1
| 23
| 3
| 1
| 4
| 4
| 0
| 5
| 1
| 6
| 1
| 1
| 1
| 2
| 1
| 21,265
|
1,827
| 21
| 0
| 3
| 6
| 1
| 1
| 3
| 4
| 0
| 4
| 2
| 2
| 1
| 5
| 1
| 2
| 1
| 17,174
|
4,816
| 28
| 1
| 3
| 9
| 3
| 1
| 4
| 6
| 2
| 4
| 2
| 4
| 1
| 5
| 1
| 2
| 4
| 21,195
|
2,657
| 52
| 1
| 1
| 15
| 2
| 2
| 3
| 5
| 3
| 4
| 0
| 7
| 0
| 3
| 1
| 2
| 3
| 31,168
|
2,416
| 40
| 1
| 1
| 14
| 3
| 2
| 3
| 4
| 0
| 3
| 3
| 2
| 1
| 4
| 1
| 2
| 1
| 24,094
|
2,322
| 29
| 1
| 1
| 12
| 3
| 1
| 2
| 3
| 0
| 3
| 1
| 2
| 0
| 3
| 0
| 1
| 1
| 18,131
|
53
| 35
| 0
| 1
| 17
| 3
| 2
| 3
| 4
| 3
| 5
| 0
| 3
| 1
| 5
| 1
| 1
| 3
| 24,884
|
4,187
| 38
| 1
| 3
| 13
| 3
| 2
| 4
| 4
| 1
| 3
| 1
| 6
| 0
| 3
| 1
| 1
| 2
| 25,180
|
110
| 51
| 0
| 1
| 6
| 3
| 1
| 1
| 4
| 3
| 5
| 3
| 4
| 0
| 2
| 1
| 0
| 3
| 22,484
|
4,276
| 22
| 0
| 3
| 16
| 3
| 2
| 3
| 4
| 0
| 3
| 3
| 3
| 0
| 4
| 1
| 1
| 1
| 21,288
|
2,069
| 36
| 1
| 2
| 19
| 2
| 2
| 2
| 3
| 0
| 4
| 1
| 5
| 0
| 3
| 1
| 1
| 1
| 17,143
|
2,365
| 31
| 1
| 1
| 17
| 3
| 2
| 3
| 3
| 1
| 5
| 1
| 2
| 1
| 1
| 1
| 1
| 2
| 21,833
|
3,837
| 28
| 1
| 3
| 16
| 3
| 2
| 3
| 4
| 1
| 3
| 3
| 3
| 0
| 1
| 0
| 2
| 2
| 22,783
|
4,230
| 50
| 1
| 1
| 7
| 1
| 1
| 3
| 5
| 4
| 3
| 2
| 2
| 1
| 3
| 0
| 1
| 0
| 32,642
|
4,747
| 28
| 1
| 1
| 13
| 2
| 2
| 3
| 5
| 0
| 3
| 1
| 3
| 0
| 1
| 1
| 2
| 1
| 21,217
|
1,229
| 40
| 1
| 1
| 14
| 2
| 1
| 3
| 3
| 1
| 5
| 1
| 3
| 1
| 1
| 0
| 0
| 2
| 21,516
|
252
| 29
| 1
| 1
| 21
| 2
| 2
| 2
| 3
| 0
| 3
| 2
| 2
| 0
| 3
| 0
| 0
| 1
| 17,340
|
3,728
| 40
| 1
| 1
| 17
| 3
| 2
| 4
| 4
| 3
| 3
| 2
| 2
| 0
| 3
| 1
| 1
| 3
| 32,142
|
3,365
| 29
| 0
| 1
| 7
| 3
| 2
| 3
| 4
| 0
| 3
| 2
| 2
| 1
| 4
| 0
| 1
| 1
| 20,832
|
4,800
| 31
| 1
| 1
| 8
| 3
| 2
| 4
| 4
| 0
| 4
| 1
| 2
| 1
| 4
| 1
| 3
| 1
| 22,257
|
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