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Datasets:
neutralboy
/
indian_states_gdp

Languages:
English
Size:
n<1K
Tags:
India, Economics, GDP
License:
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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 2 new columns ({' code', 'State name'}) and 4 missing columns ({'state', 'start_year', 'value', 'end_year'}).

This happened while the csv dataset builder was generating data using

hf://datasets/neutralboy/indian_states_gdp/state_code_abbreviation.csv (at revision f53fb989a0327e4a7b678889a6f549f092cc469c)

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
              State name: string
               code: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 490
              to
              {'state': Value(dtype='string', id=None), 'start_year': Value(dtype='int64', id=None), 'end_year': Value(dtype='int64', id=None), 'value': Value(dtype='string', 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 2 new columns ({' code', 'State name'}) and 4 missing columns ({'state', 'start_year', 'value', 'end_year'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/neutralboy/indian_states_gdp/state_code_abbreviation.csv (at revision f53fb989a0327e4a7b678889a6f549f092cc469c)
              
              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? Open a discussion for direct support.

state
string
start_year
int64
end_year
int64
value
string
AP
1,993
1,994
5786664
AP
1,994
1,995
6892337
AP
1,995
1,996
7985358
AP
1,996
1,997
9014743
AP
1,997
1,998
9578227
AP
1,998
1,999
11493710
AP
1,999
2,000
12879712
AP
2,000
2,001
14472302
AP
2,001
2,002
15671069
AP
2,002
2,003
16709609
AP
2,003
2,004
19001651
AP
2,004
2,005
21180229
AP
2,005
2,006
23968299
AP
2,006
2,007
27728562
AP
2,007
2,008
32654675
AP
2,008
2,009
37734627
AP
2,009
2,010
41134926
AP
2,011
2,012
37940200
AP
2,012
2,013
41140400
AP
2,013
2,014
46427200
AP
2,014
2,015
52497600
AP
2,015
2,016
60422900
AP
2,016
2,017
68441600
AP
2,017
2,018
78613500
AP
2,018
2,019
87372100
AP
2,019
2,020
92583900
AP
2,020
2,021
95678800
AP
2,021
2,022
113383700
AP
2,022
2,023
131772800
GJ
1,993
1,994
4919429
GJ
1,994
1,995
6351578
GJ
1,995
1,996
7188561
GJ
1,996
1,997
8583736
GJ
1,997
1,998
9118760
GJ
1,998
1,999
10530452
GJ
1,999
2,000
10986100
GJ
2,000
2,001
11113900
GJ
2,001
2,002
12357300
GJ
2,002
2,003
14153400
GJ
2,003
2,004
16808000
GJ
2,004
2,005
18911800
GJ
2,005
2,006
22689700
GJ
2,006
2,007
26272300
GJ
2,007
2,008
30373427
GJ
2,008
2,009
33721665
GJ
2,011
2,012
61560600
GJ
2,012
2,013
72449500
GJ
2,013
2,014
80762300
GJ
2,014
2,015
92177300
GJ
2,015
2,016
102901000
GJ
2,016
2,017
116715600
GJ
2,017
2,018
132909500
GJ
2,018
2,019
149215600
GJ
2,019
2,020
161714300
GJ
2,020
2,021
161610600
GJ
2,021
2,022
193706600
GJ
2,022
2,023
NA
KA
1,993
1,994
4107905
KA
1,994
1,995
4791516
KA
1,995
1,996
5621456
KA
1,996
1,997
6517573
KA
1,997
1,998
7304576
KA
1,998
1,999
8784091
KA
1,999
2,000
10124745
KA
2,000
2,001
10836170
KA
2,001
2,002
11284650
KA
2,002
2,003
12088876
KA
2,003
2,004
13098974
KA
2,004
2,005
15622577
KA
2,005
2,006
18379562
KA
2,006
2,007
20578406
KA
2,007
2,008
24006235
KA
2,008
2,009
27069662
KA
2,011
2,012
60601000
KA
2,012
2,013
69541300
KA
2,013
2,014
81666600
KA
2,014
2,015
91392300
KA
2,015
2,016
104516800
KA
2,016
2,017
120760800
KA
2,017
2,018
133324000
KA
2,018
2,019
147939100
KA
2,019
2,020
161113400
KA
2,020
2,021
162507300
KA
2,021
2,022
196272500
KA
2,022
2,023
224136800
KL
1,993
1,994
2632602
KL
1,994
1,995
3187663
KL
1,995
1,996
3876232
KL
1,996
1,997
4445990
KL
1,997
1,998
4948447
KL
1,998
1,999
5620368
KL
1,999
2,000
6916847
KL
2,000
2,001
7265883
KL
2,001
2,002
7792375
KL
2,002
2,003
8689476
KL
2,003
2,004
9669803
KL
2,004
2,005
11025991
KL
2,005
2,006
12558808
KL
2,006
2,007
14500932
KL
2,007
2,008
16572174
End of preview.

Indian States GDP numbers

I wanted to find out how Indian states were faring since independence and if government policies and regimes have made any difference. Since I could not find any aggregate data I wanted to use a list of government documents and compile it myself by state.

For the first dataset I will complile only the southern and richer northern states for comparison:

  • Andhra Pradesh
  • Telangana
  • Karnataka
  • Kerala
  • Maharashtra
  • Tamil Nadu
  • Gujrat
  • Punjab
  • West Bengal

Columns in the dataset

  • state: State codes
  • start_year: Start of the assessment year
  • end_year: End of the assessment year
  • value: Value in INR Lacs - 1 Lac is 100000 INR

Sources:

Notes

  • Sometimes when there are overlapping timelines like the second source and third source have overlap from 1999-00 to 05-06 - they often have different numbers. In such a case I have considered the calculation done at a later stage considering that is has been updated recently.
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