The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'pickup_gps_time', 'time_window_end', 'pickup_time', 'time_window_start', 'pickup_gps_y', 'pickup_gps_x'}) and 4 missing columns ({'delivery_gps_time', 'delivery_gps_x', 'delivery_gps_y', 'delivery_time'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Anonymous-LaEx/Anonymous-LaDe/pickup/pickup_cq.csv (at revision b45ecd9b563f125aa766d2c26fb0085f8a8d16eb)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              order_id: int64
              region_id: int64
              city: string
              courier_id: int64
              accept_time: string
              time_window_start: string
              time_window_end: string
              aoi_id: int64
              aoi_type: int64
              pickup_time: string
              pickup_gps_time: string
              accept_gps_time: string
              ds: int64
              x: double
              y: double
              pickup_gps_x: double
              pickup_gps_y: double
              accept_gps_x: double
              accept_gps_y: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2513
              to
              {'order_id': Value(dtype='int64', id=None), 'region_id': Value(dtype='int64', id=None), 'city': Value(dtype='string', id=None), 'courier_id': Value(dtype='int64', id=None), 'aoi_id': Value(dtype='int64', id=None), 'aoi_type': Value(dtype='int64', id=None), 'accept_time': Value(dtype='string', id=None), 'accept_gps_time': Value(dtype='string', id=None), 'delivery_time': Value(dtype='string', id=None), 'delivery_gps_time': Value(dtype='string', id=None), 'ds': Value(dtype='int64', id=None), 'x': Value(dtype='float64', id=None), 'y': Value(dtype='float64', id=None), 'delivery_gps_x': Value(dtype='float64', id=None), 'delivery_gps_y': Value(dtype='float64', id=None), 'accept_gps_x': Value(dtype='float64', id=None), 'accept_gps_y': Value(dtype='float64', id=None)}
              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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 ({'pickup_gps_time', 'time_window_end', 'pickup_time', 'time_window_start', 'pickup_gps_y', 'pickup_gps_x'}) and 4 missing columns ({'delivery_gps_time', 'delivery_gps_x', 'delivery_gps_y', 'delivery_time'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Anonymous-LaEx/Anonymous-LaDe/pickup/pickup_cq.csv (at revision b45ecd9b563f125aa766d2c26fb0085f8a8d16eb)
              
              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.

order_id
int64
region_id
int64
city
string
courier_id
int64
aoi_id
int64
aoi_type
int64
accept_time
string
accept_gps_time
string
delivery_time
string
delivery_gps_time
string
ds
int64
x
float64
y
float64
delivery_gps_x
float64
delivery_gps_y
float64
accept_gps_x
float64
accept_gps_y
float64
2,031,782
10
Chongqing
73
50
14
10-22 10:26:00
10-22 10:26:00
10-22 17:04:00
10-22 17:04:00
1,022
0.899804
0.745919
0.899373
0.747651
0.899825
0.747352
4,285,071
10
Chongqing
3,605
50
14
09-07 10:13:00
09-07 10:13:00
09-09 15:44:00
09-09 15:44:00
907
0.89981
0.74593
0.89981
0.74593
0.899822
0.747365
4,056,800
10
Chongqing
3,605
50
14
06-26 09:49:00
06-26 09:49:00
06-27 16:03:00
06-27 16:03:00
626
0.89981
0.745928
0.89981
0.745926
0.899823
0.747365
3,589,481
10
Chongqing
3,605
50
14
09-11 11:01:00
09-11 11:01:00
09-13 17:14:00
09-13 17:14:00
911
0.89981
0.745951
0.89981
0.74595
0.899825
0.747355
2,752,329
10
Chongqing
3,605
50
14
10-01 09:52:00
10-01 09:52:00
10-01 18:30:00
10-01 18:30:00
1,001
0.899807
0.745968
0.899791
0.745965
0.899824
0.747355
659,996
10
Chongqing
3,605
50
14
08-08 19:01:00
08-08 19:01:00
08-11 10:50:00
08-11 10:50:00
808
0.89981
0.745984
0.899809
0.745987
0.899823
0.747364
4,481,765
10
Chongqing
3,605
50
14
09-30 10:00:00
09-30 10:00:00
09-30 16:38:00
09-30 16:38:00
930
0.899807
0.745968
0.899792
0.74597
0.899825
0.747351
2,365,752
10
Chongqing
3,605
50
14
09-30 10:00:00
09-30 10:00:00
09-30 18:38:00
09-30 18:38:00
930
0.899809
0.74593
0.899792
0.74597
0.899825
0.747352
20,671
10
Chongqing
3,605
50
14
05-20 10:06:00
05-20 10:06:00
05-21 15:30:00
05-21 15:30:00
520
0.89981
0.745926
0.89981
0.745925
0.899822
0.747361
965,648
10
Chongqing
3,605
50
14
08-10 10:52:00
08-10 10:52:00
08-12 15:50:00
08-12 15:50:00
810
0.899802
0.745927
0.899801
0.745923
0.899823
0.747364
4,486,215
10
Chongqing
3,605
50
14
10-17 09:39:00
10-17 09:39:00
10-19 16:58:00
10-19 16:58:00
1,017
0.899802
0.745963
0.899802
0.745964
0.899824
0.747353
1,984,854
10
Chongqing
3,605
50
14
10-03 10:05:00
10-03 10:05:00
10-03 18:06:00
10-03 18:06:00
1,003
0.899809
0.745938
0.899792
0.745968
0.899825
0.747351
2,334,342
10
Chongqing
3,605
50
14
10-05 10:21:00
10-05 10:21:00
10-07 15:18:00
10-07 15:18:00
1,005
0.899807
0.745968
0.899792
0.745966
0.899825
0.747354
2,395,322
10
Chongqing
3,605
50
14
05-13 09:22:00
05-13 09:22:00
05-15 09:11:00
05-15 09:11:00
513
0.899806
0.745967
0.899807
0.745964
0.899862
0.747386
629,776
10
Chongqing
3,605
50
14
07-26 10:21:00
07-26 10:21:00
07-27 16:35:00
07-27 16:35:00
726
0.89981
0.745948
0.899811
0.745952
0.899822
0.747362
397,825
10
Chongqing
3,605
50
14
07-07 09:53:00
07-07 09:53:00
07-09 16:26:00
07-09 16:26:00
707
0.899805
0.745969
0.899806
0.745967
0.899822
0.747364
2,742,862
10
Chongqing
3,605
50
14
10-16 10:02:00
10-16 10:02:00
10-18 15:26:00
10-18 15:26:00
1,016
0.899802
0.745942
0.899802
0.745945
0.899824
0.747352
1,952,141
10
Chongqing
1,326
67
14
05-08 09:11:00
05-08 09:11:00
05-10 16:10:00
05-10 16:10:00
508
0.900489
0.754335
0.89986
0.747391
0.899861
0.74739
3,667,238
10
Chongqing
1,326
126
14
05-05 09:03:00
05-05 09:03:00
05-06 14:28:00
05-06 14:28:00
505
0.902729
0.751889
0.89986
0.747391
0.899861
0.747388
1,734,009
10
Chongqing
1,326
126
14
06-27 08:42:00
06-27 08:42:00
06-29 16:22:00
06-29 16:22:00
627
0.902258
0.751994
0.89986
0.747386
0.899823
0.747366
3,098,203
10
Chongqing
1,635
296
14
07-10 08:33:00
07-10 08:33:00
07-10 13:24:00
07-10 13:24:00
710
0.899823
0.747025
0.899824
0.746997
0.899823
0.747366
356,619
10
Chongqing
1,635
296
14
09-09 09:04:00
09-09 09:04:00
09-09 10:49:00
09-09 10:49:00
909
0.899838
0.746963
0.899837
0.746991
0.899823
0.747364
1,484,207
10
Chongqing
1,635
296
14
10-19 08:29:00
10-19 08:29:00
10-19 10:11:00
10-19 10:11:00
1,019
0.899848
0.746972
0.899865
0.746982
0.899824
0.747355
2,628,104
10
Chongqing
1,635
296
14
10-28 10:08:00
10-28 10:08:00
10-28 16:36:00
10-28 16:36:00
1,028
0.899821
0.747019
0.899823
0.746997
0.899825
0.747355
3,602,373
10
Chongqing
1,635
296
14
10-04 08:51:00
10-04 08:51:00
10-04 13:45:00
10-04 13:45:00
1,004
0.899821
0.747022
0.899822
0.746996
0.899824
0.747354
4,241,487
10
Chongqing
1,635
296
14
09-12 08:50:00
09-12 08:50:00
09-12 10:36:00
09-12 10:36:00
912
0.899843
0.74697
0.899851
0.746975
0.899825
0.747355
15,020
10
Chongqing
1,635
296
14
10-28 10:05:00
10-28 10:05:00
10-28 11:58:00
10-28 11:58:00
1,028
0.899844
0.746969
0.89985
0.746973
0.899825
0.747351
3,619,671
10
Chongqing
1,635
296
14
10-14 08:47:00
10-14 08:47:00
10-14 13:33:00
10-14 13:33:00
1,014
0.89982
0.747019
0.899823
0.746999
0.899825
0.747351
2,800,580
10
Chongqing
1,635
296
14
09-13 08:33:00
09-13 08:33:00
09-13 13:49:00
09-13 13:49:00
913
0.899814
0.74704
0.899823
0.746991
0.899824
0.747355
4,480,417
10
Chongqing
1,635
296
14
06-08 09:17:00
06-08 09:17:00
06-08 15:17:00
06-08 15:17:00
608
0.899817
0.747019
0.899821
0.746997
0.899823
0.747362
1,778,761
10
Chongqing
1,635
296
14
05-29 09:33:00
05-29 09:33:00
05-29 15:09:00
05-29 15:09:00
529
0.899813
0.747026
0.899817
0.747102
0.899823
0.747363
1,442,393
10
Chongqing
1,635
296
14
10-27 09:33:00
10-27 09:33:00
10-27 16:03:00
10-27 16:03:00
1,027
0.899814
0.747029
0.899812
0.747026
0.899824
0.747354
3,800,594
10
Chongqing
1,635
296
14
10-19 08:32:00
10-19 08:32:00
10-19 13:56:00
10-19 13:56:00
1,019
0.899836
0.746962
0.899787
0.747069
0.899824
0.747356
2,074,315
10
Chongqing
1,635
296
14
10-18 08:39:00
10-18 08:39:00
10-18 10:37:00
10-18 10:37:00
1,018
0.899831
0.747023
0.899836
0.746993
0.899825
0.747355
1,227,214
10
Chongqing
1,635
296
14
08-26 08:56:00
08-26 08:56:00
08-26 10:44:00
08-26 10:44:00
826
0.899836
0.746962
0.899835
0.746985
0.899822
0.747364
2,999,896
10
Chongqing
1,635
296
14
09-09 09:20:00
09-09 09:20:00
09-09 16:22:00
09-09 16:22:00
909
0.899826
0.746967
0.899823
0.746998
0.899823
0.747364
1,626,606
10
Chongqing
1,635
296
14
08-14 08:40:00
08-14 08:40:00
08-14 09:55:00
08-14 09:55:00
814
0.899835
0.746985
0.899837
0.746991
0.899823
0.747364
308,445
10
Chongqing
1,635
296
14
05-21 08:52:00
05-21 08:52:00
05-21 14:16:00
05-21 14:16:00
521
0.899811
0.74705
0.899822
0.746996
0.899822
0.747361
4,192,593
10
Chongqing
1,635
296
14
05-19 10:24:00
05-19 10:24:00
05-19 11:51:00
05-19 11:51:00
519
0.899826
0.746968
0.899835
0.747
0.899823
0.747363
3,766,518
10
Chongqing
1,635
296
14
06-02 11:06:00
06-02 11:06:00
06-02 14:50:00
06-02 14:50:00
602
0.899848
0.74697
0.899837
0.746984
0.899823
0.747364
3,003,321
10
Chongqing
1,635
296
14
10-29 10:02:00
10-29 10:02:00
10-29 15:58:00
10-29 15:58:00
1,029
0.89982
0.747024
0.899823
0.746996
0.899824
0.747354
3,235,537
10
Chongqing
1,635
296
14
06-14 09:07:00
06-14 09:07:00
06-14 13:25:00
06-14 13:25:00
614
0.899817
0.747016
0.899823
0.746995
0.899822
0.747366
2,633,460
10
Chongqing
1,635
296
14
10-25 09:45:00
10-25 09:45:00
10-25 15:51:00
10-25 15:51:00
1,025
0.899818
0.747017
0.899823
0.746997
0.899825
0.747356
868,940
10
Chongqing
1,635
296
14
05-25 10:51:00
05-25 10:51:00
05-25 13:41:00
05-25 13:41:00
525
0.899835
0.746986
0.899837
0.746986
0.899823
0.747366
1,028,189
10
Chongqing
1,635
296
14
10-23 09:14:00
10-23 09:14:00
10-23 11:05:00
10-23 11:05:00
1,023
0.899837
0.746962
0.899869
0.746934
0.899824
0.747354
2,225,872
10
Chongqing
1,635
296
14
10-08 08:58:00
10-08 08:58:00
10-08 14:59:00
10-08 14:59:00
1,008
0.89982
0.74702
0.899822
0.746996
0.899825
0.747354
2,283,695
10
Chongqing
1,635
296
14
10-20 08:23:00
10-20 08:23:00
10-20 09:40:00
10-20 09:40:00
1,020
0.899825
0.74697
0.899835
0.746987
0.899824
0.747353
2,837,284
10
Chongqing
1,635
296
14
10-16 09:30:00
10-16 09:30:00
10-16 14:03:00
10-16 14:03:00
1,016
0.89982
0.747024
0.899824
0.746997
0.899825
0.747353
1,563,847
10
Chongqing
1,635
296
14
10-16 09:31:00
10-16 09:31:00
10-16 10:50:00
10-16 10:50:00
1,016
0.899848
0.746971
0.899864
0.746987
0.899824
0.747352
4,386,436
10
Chongqing
1,635
296
14
10-31 09:24:00
10-31 09:24:00
10-31 11:20:00
10-31 11:20:00
1,031
0.899849
0.746972
0.899863
0.746984
0.899825
0.747351
3,997,837
10
Chongqing
1,635
296
14
09-30 08:39:00
09-30 08:39:00
09-30 13:36:00
09-30 13:36:00
930
0.899814
0.747041
0.899823
0.746997
0.899824
0.747355
3,277,016
10
Chongqing
1,635
296
14
06-02 11:26:00
06-02 11:26:00
06-02 14:44:00
06-02 14:44:00
602
0.899825
0.746966
0.899838
0.746991
0.899822
0.747363
377,057
10
Chongqing
1,635
296
14
09-21 09:17:00
09-21 09:17:00
09-21 14:23:00
09-21 14:23:00
921
0.89982
0.74702
0.899822
0.746997
0.899825
0.747356
807,845
10
Chongqing
1,635
296
14
10-27 09:57:00
10-27 09:57:00
10-27 16:37:00
10-27 16:37:00
1,027
0.899821
0.747023
0.899822
0.746997
0.899824
0.747352
4,266,115
10
Chongqing
1,635
296
14
10-31 09:17:00
10-31 09:17:00
10-31 11:14:00
10-31 11:14:00
1,031
0.899848
0.746972
0.899837
0.746995
0.899825
0.747353
870,510
10
Chongqing
1,635
296
14
10-31 09:23:00
10-31 09:23:00
10-31 15:38:00
10-31 15:38:00
1,031
0.899817
0.747017
0.899812
0.747041
0.899825
0.747355
2,897,786
10
Chongqing
1,635
296
14
10-26 10:00:00
10-26 10:00:00
10-26 15:45:00
10-26 15:45:00
1,026
0.899821
0.747007
0.899822
0.746998
0.899825
0.747355
1,478,138
10
Chongqing
1,635
296
14
09-18 08:34:00
09-18 08:34:00
09-18 14:33:00
09-18 14:33:00
918
0.89982
0.747022
0.899822
0.746999
0.899824
0.747352
3,939,876
10
Chongqing
1,635
296
14
10-27 09:57:00
10-27 09:57:00
10-27 12:01:00
10-27 12:01:00
1,027
0.899868
0.746957
0.899871
0.746984
0.899825
0.747355
2,273,200
10
Chongqing
1,635
296
14
09-03 09:49:00
09-03 09:49:00
09-03 14:34:00
09-03 14:34:00
903
0.89982
0.747023
0.899823
0.746997
0.899823
0.747364
1,411,013
10
Chongqing
1,635
296
14
10-12 08:54:00
10-12 08:54:00
10-12 10:26:00
10-12 10:26:00
1,012
0.899832
0.747021
0.899837
0.74699
0.899825
0.747356
2,623,086
10
Chongqing
1,635
296
14
10-03 08:47:00
10-03 08:47:00
10-03 10:26:00
10-03 10:26:00
1,003
0.899856
0.746971
0.899865
0.746923
0.899825
0.747354
3,349,653
10
Chongqing
1,635
296
14
08-07 08:44:00
08-07 08:44:00
08-07 09:51:00
08-07 09:51:00
807
0.899849
0.746967
0.899865
0.746923
0.899823
0.747366
102,905
10
Chongqing
1,635
296
14
10-22 10:28:00
10-22 10:28:00
10-22 17:07:00
10-22 17:07:00
1,022
0.899821
0.74702
0.899824
0.746998
0.899825
0.747354
4,206,100
10
Chongqing
1,635
296
14
10-17 08:50:00
10-17 08:50:00
10-17 13:57:00
10-17 13:57:00
1,017
0.899816
0.747017
0.899822
0.746996
0.899824
0.747355
1,529,956
10
Chongqing
1,635
296
14
10-18 08:47:00
10-18 08:47:00
10-18 14:28:00
10-18 14:28:00
1,018
0.89982
0.747022
0.899823
0.746998
0.899825
0.747353
1,621,057
10
Chongqing
1,635
296
14
10-29 09:48:00
10-29 09:48:00
10-29 11:38:00
10-29 11:38:00
1,029
0.899849
0.74697
0.899836
0.746989
0.899825
0.747356
3,443,201
10
Chongqing
1,635
296
14
07-14 09:04:00
07-14 09:04:00
07-14 10:38:00
07-14 10:38:00
714
0.899859
0.746968
0.899862
0.746982
0.899822
0.747365
199,430
10
Chongqing
1,635
296
14
09-28 09:05:00
09-28 09:05:00
09-28 10:30:00
09-28 10:30:00
928
0.899836
0.746962
0.899838
0.746992
0.899824
0.747355
4,240,373
10
Chongqing
1,635
296
14
10-10 09:06:00
10-10 09:06:00
10-10 10:54:00
10-10 10:54:00
1,010
0.899849
0.74697
0.899838
0.746991
0.899825
0.747355
2,566,777
10
Chongqing
1,635
296
14
10-23 09:16:00
10-23 09:16:00
10-23 14:54:00
10-23 14:54:00
1,023
0.89982
0.747022
0.899822
0.746999
0.899824
0.747353
4,181,188
10
Chongqing
1,635
296
14
07-16 09:27:00
07-16 09:27:00
07-16 11:05:00
07-16 11:05:00
716
0.899838
0.746964
0.899837
0.74699
0.899823
0.747361
1,736,306
10
Chongqing
1,635
296
14
08-29 08:46:00
08-29 08:46:00
08-29 14:18:00
08-29 14:18:00
829
0.89982
0.747019
0.899824
0.746997
0.899823
0.747362
595,517
10
Chongqing
1,635
296
14
07-04 09:04:00
07-04 09:04:00
07-04 11:32:00
07-04 11:32:00
704
0.899825
0.746968
0.899837
0.746992
0.899823
0.747365
4,191,331
10
Chongqing
1,635
296
14
09-04 08:57:00
09-04 08:57:00
09-04 10:16:00
09-04 10:16:00
904
0.899844
0.746968
0.899859
0.746916
0.899823
0.747364
101,246
10
Chongqing
1,635
296
14
06-19 09:44:00
06-19 09:44:00
06-19 17:08:00
06-19 17:08:00
619
0.899857
0.746969
0.899867
0.746928
0.899823
0.747363
3,298,992
10
Chongqing
1,635
296
14
10-12 08:53:00
10-12 08:53:00
10-12 10:33:00
10-12 10:33:00
1,012
0.899857
0.746971
0.899869
0.746934
0.899825
0.747355
3,899,253
10
Chongqing
1,635
296
14
10-24 09:27:00
10-24 09:27:00
10-24 11:07:00
10-24 11:07:00
1,024
0.899869
0.746953
0.899869
0.747003
0.899825
0.747351
100,963
10
Chongqing
1,635
296
14
06-03 10:20:00
06-03 10:20:00
06-03 16:50:00
06-03 16:50:00
603
0.899843
0.74697
0.899836
0.746989
0.899823
0.747365
1,146,472
10
Chongqing
1,635
296
14
10-22 10:30:00
10-22 10:30:00
10-22 12:04:00
10-22 12:04:00
1,022
0.899849
0.74697
0.899837
0.746994
0.899825
0.747354
252,323
10
Chongqing
1,635
296
14
09-03 09:46:00
09-03 09:46:00
09-03 11:06:00
09-03 11:06:00
903
0.899836
0.746962
0.899835
0.746984
0.899823
0.747364
4,374,564
10
Chongqing
1,635
296
14
10-19 08:34:00
10-19 08:34:00
10-19 10:02:00
10-19 10:02:00
1,019
0.899835
0.746989
0.899836
0.746989
0.899824
0.747353
2,949,356
10
Chongqing
1,635
296
14
10-19 08:35:00
10-19 08:35:00
10-19 10:19:00
10-19 10:19:00
1,019
0.899844
0.746969
0.899866
0.746925
0.899824
0.747353
3,860,525
10
Chongqing
1,635
296
14
10-19 08:31:00
10-19 08:31:00
10-19 13:32:00
10-19 13:32:00
1,019
0.899817
0.747021
0.899823
0.747001
0.899825
0.747352
1,086,282
10
Chongqing
1,635
296
14
07-31 08:49:00
07-31 08:49:00
07-31 13:41:00
07-31 13:41:00
731
0.899824
0.746993
0.899823
0.746998
0.899822
0.747366
3,765,009
10
Chongqing
1,635
296
14
09-01 08:50:00
09-01 08:50:00
09-01 10:02:00
09-01 10:02:00
901
0.899834
0.746988
0.899836
0.746989
0.899824
0.747365
3,191,559
10
Chongqing
1,635
296
14
10-11 08:30:00
10-11 08:30:00
10-11 13:56:00
10-11 13:56:00
1,011
0.899817
0.747019
0.899823
0.746993
0.899825
0.747352
686,728
10
Chongqing
1,635
296
14
08-28 08:07:00
08-28 08:07:00
08-28 13:46:00
08-28 13:46:00
828
0.89982
0.74702
0.899822
0.746994
0.899823
0.747366
3,098,891
10
Chongqing
1,635
296
14
10-12 08:52:00
10-12 08:52:00
10-12 14:27:00
10-12 14:27:00
1,012
0.89982
0.747023
0.899823
0.746995
0.899825
0.747353
673,108
10
Chongqing
1,635
296
14
05-29 09:38:00
05-29 09:38:00
05-29 11:22:00
05-29 11:22:00
529
0.899832
0.747015
0.899861
0.746984
0.899824
0.747364
743,762
10
Chongqing
1,635
296
14
09-16 09:11:00
09-16 09:11:00
09-16 11:24:00
09-16 11:24:00
916
0.899837
0.746963
0.899837
0.746988
0.899824
0.747353
22,134
10
Chongqing
1,635
296
14
06-16 09:07:00
06-16 09:07:00
06-16 10:32:00
06-16 10:32:00
616
0.899848
0.746969
0.899871
0.746942
0.899823
0.747363
667,134
10
Chongqing
1,635
296
14
06-07 08:43:00
06-07 08:43:00
06-07 14:46:00
06-07 14:46:00
607
0.899814
0.747025
0.899788
0.747056
0.899822
0.747365
3,310,572
10
Chongqing
1,635
296
14
06-26 08:23:00
06-26 08:23:00
06-26 09:25:00
06-26 09:25:00
626
0.899849
0.746969
0.899838
0.746995
0.899823
0.747366
4,271,164
10
Chongqing
1,635
296
14
05-16 09:03:00
05-16 09:03:00
05-16 11:28:00
05-16 11:28:00
516
0.899849
0.746969
0.899869
0.746939
0.899823
0.747365
1,501,745
10
Chongqing
1,635
296
14
10-30 09:00:00
10-30 09:00:00
10-30 14:23:00
10-30 14:23:00
1,030
0.899821
0.747021
0.899823
0.746995
0.899825
0.747354
303,794
10
Chongqing
1,635
296
14
08-26 09:01:00
08-26 09:01:00
08-26 14:52:00
08-26 14:52:00
826
0.89982
0.74702
0.89982
0.747021
0.899823
0.747366
3,771,847
10
Chongqing
1,635
296
14
10-13 09:18:00
10-13 09:18:00
10-13 15:09:00
10-13 15:09:00
1,013
0.899821
0.747023
0.899751
0.746938
0.899825
0.747351
3,101,905
10
Chongqing
1,635
296
14
05-06 09:02:00
05-06 09:02:00
05-06 10:15:00
05-06 10:15:00
506
0.899814
0.747022
0.899805
0.747082
0.899861
0.747387
3,077,304
10
Chongqing
1,635
296
14
09-11 09:57:00
09-11 09:57:00
09-11 15:19:00
09-11 15:19:00
911
0.899821
0.747024
0.899824
0.746996
0.899824
0.747354
End of preview.