<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Year</th>
      <th>countryname</th>
      <th>countrycode</th>
      <th>regionnum</th>
      <th>incomenum</th>
      <th>oilproducers</th>
      <th>pf_ee2023</th>
      <th>pf_ee2023_imp1</th>
      <th>inv_mmx_pf_ee2023_imp1</th>
      <th>pf_renew2023</th>
      <th>...</th>
      <th>pf_natlsinks2021</th>
      <th>pf_natlsinks2021_imp1</th>
      <th>mmx_pf_natlsinks2021_imp1</th>
      <th>mmx_pf_natlsinks_foralt2021_imp1</th>
      <th>pf_ccusgdp2021</th>
      <th>mmx_pf_ccusgdp2021</th>
      <th>pf_h2gdp2021</th>
      <th>mmx_pf_h2gdp2021</th>
      <th>av_perf0100_2021</th>
      <th>2021</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2023</td>
      <td>Algeria</td>
      <td>DZA</td>
      <td>Middle East &amp; North Africa</td>
      <td>Middle Income</td>
      <td>1</td>
      <td>0.1266</td>
      <td>0.1266</td>
      <td>51.726157</td>
      <td>-0.0657</td>
      <td>...</td>
      <td>23.6609</td>
      <td>23.6609</td>
      <td>23.6609</td>
      <td>16.190413</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>16.497513</td>
      <td>59</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2023</td>
      <td>Angola</td>
      <td>AGO</td>
      <td>Sub-Saharan Africa</td>
      <td>Middle Income</td>
      <td>1</td>
      <td>0.0761</td>
      <td>0.0761</td>
      <td>81.275600</td>
      <td>7.2812</td>
      <td>...</td>
      <td>29.3619</td>
      <td>29.3619</td>
      <td>29.3619</td>
      <td>47.361647</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>32.734184</td>
      <td>19</td>
    </tr>
    <tr>
      <th>2</th>
      <td>2023</td>
      <td>Argentina</td>
      <td>ARG</td>
      <td>Latin America &amp; Caribbean</td>
      <td>Middle Income</td>
      <td>1</td>
      <td>0.0961</td>
      <td>0.0961</td>
      <td>69.572848</td>
      <td>5.2667</td>
      <td>...</td>
      <td>23.0317</td>
      <td>23.0317</td>
      <td>23.0317</td>
      <td>20.777168</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>30.600449</td>
      <td>23</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2023</td>
      <td>Australia</td>
      <td>AUS</td>
      <td>East Asia &amp; Pacific</td>
      <td>High Income</td>
      <td>1</td>
      <td>0.1040</td>
      <td>0.1040</td>
      <td>64.950262</td>
      <td>5.2399</td>
      <td>...</td>
      <td>20.0759</td>
      <td>20.0759</td>
      <td>20.0759</td>
      <td>22.438415</td>
      <td>0.004333</td>
      <td>42.483626</td>
      <td>4916.931641</td>
      <td>100.0</td>
      <td>39.089352</td>
      <td>12</td>
    </tr>
    <tr>
      <th>4</th>
      <td>2023</td>
      <td>Azerbaijan</td>
      <td>AZE</td>
      <td>Europe &amp; Central Asia</td>
      <td>Middle Income</td>
      <td>1</td>
      <td>0.1117</td>
      <td>0.1117</td>
      <td>60.444705</td>
      <td>-0.0511</td>
      <td>...</td>
      <td>58.1390</td>
      <td>58.1390</td>
      <td>58.1390</td>
      <td>45.874023</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.0</td>
      <td>21.939110</td>
      <td>48</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 95 columns</p>
</div>

   Year countryname countrycode                   regionnum      incomenum  \
0  2023     Algeria         DZA  Middle East & North Africa  Middle Income   
1  2023      Angola         AGO          Sub-Saharan Africa  Middle Income   
2  2023   Argentina         ARG   Latin America & Caribbean  Middle Income   
3  2023   Australia         AUS         East Asia & Pacific    High Income   
4  2023  Azerbaijan         AZE       Europe & Central Asia  Middle Income   

   oilproducers  pf_ee2023  pf_ee2023_imp1  inv_mmx_pf_ee2023_imp1  \
0             1     0.1266          0.1266               51.726157   
1             1     0.0761          0.0761               81.275600   
2             1     0.0961          0.0961               69.572848   
3             1     0.1040          0.1040               64.950262   
4             1     0.1117          0.1117               60.444705   

   pf_renew2023  ...  pf_natlsinks2021  pf_natlsinks2021_imp1  \
0       -0.0657  ...           23.6609                23.6609   
1        7.2812  ...           29.3619                29.3619   
2        5.2667  ...           23.0317                23.0317   
3        5.2399  ...           20.0759                20.0759   
4       -0.0511  ...           58.1390                58.1390   

   mmx_pf_natlsinks2021_imp1  mmx_pf_natlsinks_foralt2021_imp1  \
0                    23.6609                         16.190413   
1                    29.3619                         47.361647   
2                    23.0317                         20.777168   
3                    20.0759                         22.438415   
4                    58.1390                         45.874023   

   pf_ccusgdp2021  mmx_pf_ccusgdp2021  pf_h2gdp2021  mmx_pf_h2gdp2021  \
0        0.000000            0.000000      0.000000               0.0   
1        0.000000            0.000000      0.000000               0.0   
2        0.000000            0.000000      0.000000               0.0   
3        0.004333           42.483626   4916.931641             100.0   
4        0.000000            0.000000      0.000000               0.0   

   av_perf0100_2021  2021  
0         16.497513    59  
1         32.734184    19  
2         30.600449    23  
3         39.089352    12  
4         21.939110    48  

[5 rows x 95 columns]

Notebook

what is in this data?