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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
|
End of preview.