<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>Client</th>
      <th>Name</th>
      <th>Skill Category</th>
      <th>Hiring Level</th>
      <th>Date of Joining</th>
      <th>Professional Fees Applicable   %</th>
      <th>CTC Offered</th>
      <th>Professional Charges (Basic)</th>
      <th>Team Member</th>
      <th>Final Status</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Solvix</td>
      <td>Marty Ross</td>
      <td>Operabasetions</td>
      <td>Mid Management</td>
      <td>10th April 2019</td>
      <td>12.50%</td>
      <td>1,350,000</td>
      <td>168,750</td>
      <td>Sarah</td>
      <td>Offered &amp; Joined</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Invictum</td>
      <td>Lauifi Seumaala</td>
      <td>Strategy</td>
      <td>Mid Management</td>
      <td>10th Dec 2018</td>
      <td>15.00%</td>
      <td>3,000,000</td>
      <td>450,000</td>
      <td>NaN</td>
      <td>Offered &amp; Joined</td>
    </tr>
    <tr>
      <th>2</th>
      <td>Cygnus</td>
      <td>Edward Roland</td>
      <td>Product</td>
      <td>Mid Management</td>
      <td>10th February 2020</td>
      <td>15.00%</td>
      <td>1,100,000</td>
      <td>165,000</td>
      <td>Sophia</td>
      <td>Offered &amp; Joined</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Cygnus</td>
      <td>Robert Postel</td>
      <td>Product</td>
      <td>Mid Management</td>
      <td>10th February 2020</td>
      <td>15.00%</td>
      <td>4,300,000</td>
      <td>645,000</td>
      <td>Sophia</td>
      <td>Offered &amp; Joined</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Novaris</td>
      <td>Lisette Adams</td>
      <td>BD &amp; Sales</td>
      <td>Mid Management</td>
      <td>10th Jan 2019</td>
      <td>12.50%</td>
      <td>2,799,996</td>
      <td>350,000</td>
      <td>NaN</td>
      <td>Offered &amp; Joined</td>
    </tr>
  </tbody>
</table>
</div>

     Client             Name  Skill Category    Hiring Level  \
0    Solvix       Marty Ross  Operabasetions  Mid Management   
1  Invictum  Lauifi Seumaala        Strategy  Mid Management   
2    Cygnus    Edward Roland         Product  Mid Management   
3    Cygnus    Robert Postel         Product  Mid Management   
4   Novaris    Lisette Adams      BD & Sales  Mid Management   

      Date of Joining Professional Fees Applicable   % CTC Offered  \
0     10th April 2019                           12.50%   1,350,000   
1       10th Dec 2018                           15.00%   3,000,000   
2  10th February 2020                           15.00%   1,100,000   
3  10th February 2020                           15.00%   4,300,000   
4       10th Jan 2019                           12.50%   2,799,996   

  Professional Charges (Basic) Team Member      Final Status  
0                      168,750       Sarah  Offered & Joined  
1                      450,000         NaN  Offered & Joined  
2                      165,000      Sophia  Offered & Joined  
3                      645,000      Sophia  Offered & Joined  
4                      350,000         NaN  Offered & Joined  

Inquiry About Dataset Description and Potential Uses

briefly describe the dataset and what i can do with it

briefly describe the dataset and what i can do with it

Dataset Description

Potential Analyses and Visualizations

Can you analyze the distribution of hires across different clients?

Distribution of Hires Across Different Clients