<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>customer_id</th>
      <th>age</th>
      <th>gender</th>
      <th>location</th>
      <th>purchase_frequency</th>
      <th>total_spent</th>
      <th>preferred_category</th>
      <th>satisfaction_score</th>
      <th>loyalty_status</th>
      <th>last_purchase_date</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>C001</td>
      <td>34</td>
      <td>F</td>
      <td>New York</td>
      <td>Monthly</td>
      <td>1250.50</td>
      <td>Electronics</td>
      <td>4.5</td>
      <td>Gold</td>
      <td>2024-11-15</td>
    </tr>
    <tr>
      <th>1</th>
      <td>C002</td>
      <td>45</td>
      <td>M</td>
      <td>Los Angeles</td>
      <td>Weekly</td>
      <td>3420.75</td>
      <td>Home &amp; Garden</td>
      <td>4.8</td>
      <td>Platinum</td>
      <td>2024-11-20</td>
    </tr>
    <tr>
      <th>2</th>
      <td>C003</td>
      <td>28</td>
      <td>F</td>
      <td>Chicago</td>
      <td>Quarterly</td>
      <td>580.25</td>
      <td>Fashion</td>
      <td>3.9</td>
      <td>Silver</td>
      <td>2024-11-10</td>
    </tr>
    <tr>
      <th>3</th>
      <td>C004</td>
      <td>52</td>
      <td>M</td>
      <td>Houston</td>
      <td>Monthly</td>
      <td>2150.00</td>
      <td>Sports</td>
      <td>4.2</td>
      <td>Gold</td>
      <td>2024-11-18</td>
    </tr>
    <tr>
      <th>4</th>
      <td>C005</td>
      <td>39</td>
      <td>F</td>
      <td>Miami</td>
      <td>Weekly</td>
      <td>4200.50</td>
      <td>Beauty</td>
      <td>4.9</td>
      <td>Platinum</td>
      <td>2024-11-21</td>
    </tr>
  </tbody>
</table>
</div>

  customer_id  age gender     location purchase_frequency  total_spent  \
0        C001   34      F     New York            Monthly      1250.50   
1        C002   45      M  Los Angeles             Weekly      3420.75   
2        C003   28      F      Chicago          Quarterly       580.25   
3        C004   52      M      Houston            Monthly      2150.00   
4        C005   39      F        Miami             Weekly      4200.50   

  preferred_category  satisfaction_score loyalty_status last_purchase_date  
0        Electronics                 4.5           Gold         2024-11-15  
1      Home & Garden                 4.8       Platinum         2024-11-20  
2            Fashion                 3.9         Silver         2024-11-10  
3             Sports                 4.2           Gold         2024-11-18  
4             Beauty                 4.9       Platinum         2024-11-21  

Request for Customer Insights Visualization from CSV File

Can u create for me a customer insights visualization from this csv

Here is the cvs