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praneeth232
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play-store-revenue-analysis

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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 4 new columns ({'updated_date', 'app_name', 'app_id', 'adv_revenue'})

This happened while the csv dataset builder was generating data using

hf://datasets/praneeth232/play-store-revenue-analysis/playstore_revenue_analysis.csv (at revision ef24f1cd081cfd00c3ee0b2f8e8e1590de060f5f)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              app_id: int64
              app_name: string
              app_category: string
              app_size_in_mb: double
              free_or_paid: string
              price_in_usd: double
              content_rating: string
              number_of_installs: int64
              average_screen_time: int64
              adv_supported: int64
              active_users: int64
              no_of_short_ads_per_hour: int64
              no_of_long_ads_per_hour: int64
              adv_revenue: double
              updated_date: string
              screentime_category: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2303
              to
              {'app_category': Value('int64'), 'app_size_in_mb': Value('float64'), 'free_or_paid': Value('int64'), 'price_in_usd': Value('float64'), 'content_rating': Value('int64'), 'number_of_installs': Value('int64'), 'average_screen_time': Value('int64'), 'adv_supported': Value('int64'), 'active_users': Value('int64'), 'no_of_short_ads_per_hour': Value('int64'), 'no_of_long_ads_per_hour': Value('int64'), 'screentime_category': 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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 4 new columns ({'updated_date', 'app_name', 'app_id', 'adv_revenue'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/praneeth232/play-store-revenue-analysis/playstore_revenue_analysis.csv (at revision ef24f1cd081cfd00c3ee0b2f8e8e1590de060f5f)
              
              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.

app_category
int64
app_size_in_mb
float64
free_or_paid
int64
price_in_usd
float64
content_rating
int64
number_of_installs
int64
average_screen_time
int64
adv_supported
int64
active_users
int64
no_of_short_ads_per_hour
int64
no_of_long_ads_per_hour
int64
screentime_category
int64
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20
26
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54
1
2.99
1
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1
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0
2
19
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0
0
4
1,339
219
1
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3
1
0
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30
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110
1
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2
2
10
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2
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2.4
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31
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32
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38
0
0
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12
1
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1
1
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20
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2
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9
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75
1
19,979
3
0
2
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26
0
0
1
249
60
1
6,918
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1
2
13
0.7
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1
53
8
1
5,626
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1
1
19
6
0
0
1
945
207
1
10,178
5
2
0
9
59
0
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4
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68
1
53,909
1
0
2
17
8.1
1
1.7
1
63
7
1
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3
1
1
9
43
0
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1
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50
1
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1
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3
1
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24
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1
21,860
1
3
2
18
1.4
1
3.99
1
133
20
1
14,821
2
1
1
14
3.3
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1
334
43
1
11,440
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1
1
1
35
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39
1
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2
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10
20
0
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80
1
46,193
4
1
2
21
3.1
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0
4
102
6
1
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2
0
1
21
2.5
0
0
1
83
12
1
13,899
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0
1
18
12
1
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1
123
5
1
12,868
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2
1
13
3.4
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1
98
13
1
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3
1
1
10
98
0
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3
2,112
239
1
42,957
2
2
0
1
34
0
0
1
77
47
1
36,595
2
1
1
7
4.5
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469
354
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2
2
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26
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2
2,923
102
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2
2
2
9
14
1
1.99
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788
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33,786
1
0
2
9
9.2
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1
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2
3
2
9
13
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1
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1
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1
9
20
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2
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100
1
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2
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2
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7.1
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21
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2
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1
831
112
1
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1
2
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24
0
0
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3
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1
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20
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1
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4
1
2
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6.6
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4
1,322
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1
19,920
2
2
2
11
7.8
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0
1
206
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1
28,974
3
2
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1
2,853
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1
72,942
5
2
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97
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2
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1
11,486
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2
2
21
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1
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13
1
18,324
2
0
1
4
9.1
0
0
3
99
57
1
3,093
3
1
2
21
6.1
0
0
1
56
8
1
12,186
2
2
1
21
1.7
0
0
1
64
5
1
19,704
2
2
1
10
38
0
0
1
1,756
88
1
35,988
3
1
2
16
20
0
0
1
46
7
1
2,440
2
2
1
18
1.6
0
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1
141
11
1
11,419
2
2
1
14
20
0
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1
179
41
1
62,111
3
2
1
21
0.68
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70
6
1
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2
1
1
3
6.7
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1
17
84
1
6,905
3
0
2
11
12
0
0
1
140
47
1
48,840
2
2
1
14
1.2
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0
1
508
91
1
58,730
3
3
2
17
2.1
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0
1
88
9
1
21,532
2
0
1
9
1.7
0
0
1
1,281
89
1
24,000
1
0
2
21
2.4
0
0
1
93
6
1
11,379
3
0
1
21
0.17
0
0
1
70
9
1
15,470
1
2
1
9
7.4
0
0
1
801
107
1
31,636
3
3
2
21
0.46
0
0
1
83
12
1
16,759
4
2
1
17
2.1
1
1.49
1
67
12
1
21,416
3
1
1
19
7
0
0
4
1,294
177
1
80,605
4
0
2
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