title: create a heatmap of two categorical variables
body: <p>I have the following datasets of three variables: </p>
  
  <blockquote>
    <ol>
    <li>df['Score'] Float dummy (1 or 0) </li>
    <li>df['Province'] an object column where each row is a region </li>
    <li>df['Product type'] an object indicating the industry. </li>
    </ol>
  </blockquote>
  
  <p>I would like to create a jointplot where on the x axis I have the different industries, on the y axis the different provinces and as colours of my jointplot I have the relative frequency of the score. 
  Something like this.
  <a href="https://seaborn.pydata.org/examples/hexbin_marginals.html" rel="nofollow noreferrer">https://seaborn.pydata.org/examples/hexbin_marginals.html</a></p>
  
  <p>For the time being, I could only do the following</p>
  
  <pre><code>mean = df.groupby(['Province', 'Product type'])['score'].mean()
  </code></pre>
  
  <p>But i am not sure how to plot it.</p>
  
  <p>Thanks!</p>