<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>0</th>
      <th>First Name</th>
      <th>Last Name</th>
      <th>Gender</th>
      <th>Country</th>
      <th>Age</th>
      <th>Date</th>
      <th>Id</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1</td>
      <td>Dulce</td>
      <td>Abril</td>
      <td>Female</td>
      <td>United States</td>
      <td>32</td>
      <td>15/10/2017</td>
      <td>1562</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2</td>
      <td>Mara</td>
      <td>Hashimoto</td>
      <td>Female</td>
      <td>Great Britain</td>
      <td>25</td>
      <td>16/08/2016</td>
      <td>1582</td>
    </tr>
  </tbody>
</table>
</div>

   0 First Name  Last Name  Gender        Country  Age        Date    Id
0  1      Dulce      Abril  Female  United States   32  15/10/2017  1562
1  2       Mara  Hashimoto  Female  Great Britain   25  16/08/2016  1582

<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>Country</th>
      <th>Age</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Great Britain</td>
      <td>25.0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>United States</td>
      <td>32.0</td>
    </tr>
  </tbody>
</table>
</div>

         Country   Age
0  Great Britain  25.0
1  United States  32.0

<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>player_name</th>
      <th>team_abbreviation</th>
      <th>age</th>
      <th>player_height</th>
      <th>player_weight</th>
      <th>college</th>
      <th>country</th>
      <th>draft_year</th>
      <th>draft_round</th>
      <th>draft_number</th>
      <th>...</th>
      <th>pts</th>
      <th>reb</th>
      <th>ast</th>
      <th>net_rating</th>
      <th>oreb_pct</th>
      <th>dreb_pct</th>
      <th>usg_pct</th>
      <th>ts_pct</th>
      <th>ast_pct</th>
      <th>season</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Randy Livingston</td>
      <td>HOU</td>
      <td>22.0</td>
      <td>193.04</td>
      <td>94.800728</td>
      <td>Louisiana State</td>
      <td>USA</td>
      <td>1996</td>
      <td>2</td>
      <td>42</td>
      <td>...</td>
      <td>3.9</td>
      <td>1.5</td>
      <td>2.4</td>
      <td>0.3</td>
      <td>0.042</td>
      <td>0.071</td>
      <td>0.169</td>
      <td>0.487</td>
      <td>0.248</td>
      <td>1996-97</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Gaylon Nickerson</td>
      <td>WAS</td>
      <td>28.0</td>
      <td>190.50</td>
      <td>86.182480</td>
      <td>Northwestern Oklahoma</td>
      <td>USA</td>
      <td>1994</td>
      <td>2</td>
      <td>34</td>
      <td>...</td>
      <td>3.8</td>
      <td>1.3</td>
      <td>0.3</td>
      <td>8.9</td>
      <td>0.030</td>
      <td>0.111</td>
      <td>0.174</td>
      <td>0.497</td>
      <td>0.043</td>
      <td>1996-97</td>
    </tr>
    <tr>
      <th>2</th>
      <td>George Lynch</td>
      <td>VAN</td>
      <td>26.0</td>
      <td>203.20</td>
      <td>103.418976</td>
      <td>North Carolina</td>
      <td>USA</td>
      <td>1993</td>
      <td>1</td>
      <td>12</td>
      <td>...</td>
      <td>8.3</td>
      <td>6.4</td>
      <td>1.9</td>
      <td>-8.2</td>
      <td>0.106</td>
      <td>0.185</td>
      <td>0.175</td>
      <td>0.512</td>
      <td>0.125</td>
      <td>1996-97</td>
    </tr>
    <tr>
      <th>3</th>
      <td>George McCloud</td>
      <td>LAL</td>
      <td>30.0</td>
      <td>203.20</td>
      <td>102.058200</td>
      <td>Florida State</td>
      <td>USA</td>
      <td>1989</td>
      <td>1</td>
      <td>7</td>
      <td>...</td>
      <td>10.2</td>
      <td>2.8</td>
      <td>1.7</td>
      <td>-2.7</td>
      <td>0.027</td>
      <td>0.111</td>
      <td>0.206</td>
      <td>0.527</td>
      <td>0.125</td>
      <td>1996-97</td>
    </tr>
    <tr>
      <th>4</th>
      <td>George Zidek</td>
      <td>DEN</td>
      <td>23.0</td>
      <td>213.36</td>
      <td>119.748288</td>
      <td>UCLA</td>
      <td>USA</td>
      <td>1995</td>
      <td>1</td>
      <td>22</td>
      <td>...</td>
      <td>2.8</td>
      <td>1.7</td>
      <td>0.3</td>
      <td>-14.1</td>
      <td>0.102</td>
      <td>0.169</td>
      <td>0.195</td>
      <td>0.500</td>
      <td>0.064</td>
      <td>1996-97</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 21 columns</p>
</div>

        player_name team_abbreviation   age  player_height  player_weight  \
0  Randy Livingston               HOU  22.0         193.04      94.800728   
1  Gaylon Nickerson               WAS  28.0         190.50      86.182480   
2      George Lynch               VAN  26.0         203.20     103.418976   
3    George McCloud               LAL  30.0         203.20     102.058200   
4      George Zidek               DEN  23.0         213.36     119.748288   

                 college country draft_year draft_round draft_number  ...  \
0        Louisiana State     USA       1996           2           42  ...   
1  Northwestern Oklahoma     USA       1994           2           34  ...   
2         North Carolina     USA       1993           1           12  ...   
3          Florida State     USA       1989           1            7  ...   
4                   UCLA     USA       1995           1           22  ...   

    pts  reb  ast  net_rating  oreb_pct  dreb_pct  usg_pct  ts_pct  ast_pct  \
0   3.9  1.5  2.4         0.3     0.042     0.071    0.169   0.487    0.248   
1   3.8  1.3  0.3         8.9     0.030     0.111    0.174   0.497    0.043   
2   8.3  6.4  1.9        -8.2     0.106     0.185    0.175   0.512    0.125   
3  10.2  2.8  1.7        -2.7     0.027     0.111    0.206   0.527    0.125   
4   2.8  1.7  0.3       -14.1     0.102     0.169    0.195   0.500    0.064   

    season  
0  1996-97  
1  1996-97  
2  1996-97  
3  1996-97  
4  1996-97  

[5 rows x 21 columns]

Analysis of Average Age by Country

What is the average age by country?

What is this data?