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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 6 new columns ({'TIME', 'PICK UP ADDRESS', 'DATE', 'Unnamed: 5', 'Unnamed: 3', 'Unnamed: 4'}) and 4 missing columns ({'date', 'dispatching_base_number', 'active_vehicles', 'trips'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Pratik-kujur26/RideOptimization/other-American_B01362.csv (at revision 1401e5b914bd3864b736a5757d5fab4a718e7b17), [/tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/Uber-Jan-Feb-FOIL.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/Uber-Jan-Feb-FOIL.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-American_B01362.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-American_B01362.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Carmel_B00256.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Carmel_B00256.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Dial7_B00887.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Dial7_B00887.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Diplo_B01196.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Diplo_B01196.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-FHV-services_jan-aug-2015.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-FHV-services_jan-aug-2015.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Federal_02216.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Federal_02216.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Firstclass_B01536.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Firstclass_B01536.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Highclass_B01717.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Highclass_B01717.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Lyft_B02510.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Lyft_B02510.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Prestige_B01338.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Prestige_B01338.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Skyline_B00111.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Skyline_B00111.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-apr14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-apr14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-aug14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-aug14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-janjune-15.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-janjune-15.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jul14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jul14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jun14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jun14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-may14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-may14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-sep14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-sep14.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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, 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
              DATE: string
              TIME: string
              PICK UP ADDRESS: string
              Unnamed: 3: double
              Unnamed: 4: double
              Unnamed: 5: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 972
              to
              {'dispatching_base_number': Value('string'), 'date': Value('string'), 'active_vehicles': Value('int64'), 'trips': 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 1739, 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 1892, 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 6 new columns ({'TIME', 'PICK UP ADDRESS', 'DATE', 'Unnamed: 5', 'Unnamed: 3', 'Unnamed: 4'}) and 4 missing columns ({'date', 'dispatching_base_number', 'active_vehicles', 'trips'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Pratik-kujur26/RideOptimization/other-American_B01362.csv (at revision 1401e5b914bd3864b736a5757d5fab4a718e7b17), [/tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/Uber-Jan-Feb-FOIL.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/Uber-Jan-Feb-FOIL.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-American_B01362.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-American_B01362.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Carmel_B00256.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Carmel_B00256.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Dial7_B00887.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Dial7_B00887.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Diplo_B01196.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Diplo_B01196.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-FHV-services_jan-aug-2015.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-FHV-services_jan-aug-2015.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Federal_02216.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Federal_02216.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Firstclass_B01536.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Firstclass_B01536.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Highclass_B01717.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Highclass_B01717.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Lyft_B02510.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Lyft_B02510.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Prestige_B01338.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Prestige_B01338.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Skyline_B00111.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/other-Skyline_B00111.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-apr14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-apr14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-aug14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-aug14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-janjune-15.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-janjune-15.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jul14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jul14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jun14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-jun14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-may14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-may14.csv), /tmp/hf-datasets-cache/medium/datasets/61762750946314-config-parquet-and-info-Pratik-kujur26-RideOptimi-4467fc59/hub/datasets--Pratik-kujur26--RideOptimization/snapshots/1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-sep14.csv (origin=hf://datasets/Pratik-kujur26/RideOptimization@1401e5b914bd3864b736a5757d5fab4a718e7b17/uber-raw-data-sep14.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.

dispatching_base_number
string
date
string
active_vehicles
int64
trips
int64
B02512
1/1/2015
190
1,132
B02765
1/1/2015
225
1,765
B02764
1/1/2015
3,427
29,421
B02682
1/1/2015
945
7,679
B02617
1/1/2015
1,228
9,537
B02598
1/1/2015
870
6,903
B02598
1/2/2015
785
4,768
B02617
1/2/2015
1,137
7,065
B02512
1/2/2015
175
875
B02682
1/2/2015
890
5,506
B02765
1/2/2015
196
1,001
B02764
1/2/2015
3,147
19,974
B02765
1/3/2015
201
1,526
B02617
1/3/2015
1,188
10,664
B02598
1/3/2015
818
7,432
B02682
1/3/2015
915
8,010
B02512
1/3/2015
173
1,088
B02764
1/3/2015
3,215
29,729
B02512
1/4/2015
147
791
B02682
1/4/2015
812
5,621
B02598
1/4/2015
746
5,223
B02765
1/4/2015
183
993
B02617
1/4/2015
1,088
7,729
B02764
1/4/2015
2,862
20,441
B02512
1/5/2015
194
984
B02682
1/5/2015
951
6,012
B02617
1/5/2015
1,218
7,899
B02764
1/5/2015
3,387
20,926
B02598
1/5/2015
907
5,798
B02765
1/5/2015
227
1,133
B02764
1/6/2015
3,473
25,301
B02682
1/6/2015
1,022
7,491
B02617
1/6/2015
1,336
10,128
B02765
1/6/2015
234
1,376
B02512
1/6/2015
218
1,314
B02598
1/6/2015
933
6,816
B02617
1/7/2015
1,363
11,528
B02682
1/7/2015
1,039
9,078
B02764
1/7/2015
3,603
29,949
B02765
1/7/2015
248
1,704
B02512
1/7/2015
217
1,446
B02598
1/7/2015
974
8,397
B02765
1/8/2015
262
1,911
B02598
1/8/2015
1,070
10,050
B02512
1/8/2015
238
1,772
B02682
1/8/2015
1,135
10,416
B02764
1/8/2015
3,831
33,802
B02617
1/8/2015
1,463
13,462
B02617
1/9/2015
1,455
13,165
B02512
1/9/2015
224
1,560
B02764
1/9/2015
3,820
33,517
B02682
1/9/2015
1,140
10,477
B02598
1/9/2015
1,070
9,538
B02765
1/9/2015
280
2,039
B02682
1/10/2015
1,057
11,629
B02617
1/10/2015
1,331
13,856
B02598
1/10/2015
949
10,287
B02512
1/10/2015
206
1,646
B02764
1/10/2015
3,558
38,864
B02765
1/10/2015
245
2,202
B02765
1/11/2015
220
1,672
B02598
1/11/2015
832
7,176
B02682
1/11/2015
943
8,461
B02764
1/11/2015
3,186
27,681
B02617
1/11/2015
1,228
10,932
B02512
1/11/2015
162
1,104
B02764
1/12/2015
3,499
26,852
B02765
1/12/2015
279
1,711
B02512
1/12/2015
217
1,399
B02598
1/12/2015
964
7,915
B02682
1/12/2015
1,082
9,107
B02617
1/12/2015
1,323
10,662
B02765
1/13/2015
258
1,697
B02598
1/13/2015
975
8,713
B02617
1/13/2015
1,342
11,825
B02512
1/13/2015
234
1,652
B02764
1/13/2015
3,658
29,983
B02682
1/13/2015
1,092
9,629
B02764
1/14/2015
3,736
29,550
B02765
1/14/2015
271
1,600
B02598
1/14/2015
1,030
8,870
B02512
1/14/2015
233
1,582
B02617
1/14/2015
1,405
11,965
B02682
1/14/2015
1,174
9,762
B02512
1/15/2015
237
1,636
B02682
1/15/2015
1,208
10,391
B02617
1/15/2015
1,457
12,539
B02765
1/15/2015
270
1,797
B02764
1/15/2015
3,840
31,214
B02598
1/15/2015
1,068
9,152
B02617
1/16/2015
1,445
12,977
B02765
1/16/2015
290
2,082
B02764
1/16/2015
3,975
34,822
B02682
1/16/2015
1,250
11,280
B02512
1/16/2015
234
1,481
B02598
1/16/2015
1,079
9,838
B02598
1/17/2015
974
9,546
B02512
1/17/2015
201
1,281
B02682
1/17/2015
1,137
11,382
B02765
1/17/2015
252
2,160
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