title: Show correlation values in pairplot using seaborn in python
body: <p>I have the below data:</p>
  <pre><code>prop_tenure  prop_12m  prop_6m  
  0.00         0.00      0.00   
  0.00         0.00      0.00   
  0.06         0.06      0.10   
  0.38         0.38      0.25   
  0.61         0.61      0.66   
  0.01         0.01      0.02   
  0.10         0.10      0.12   
  0.04         0.04      0.04   
  0.22         0.22      0.22 
  </code></pre>
  <p>and I am doing a pairplot as below:</p>
  <pre class="lang-py prettyprint-override"><code>sns.pairplot(data)
  plt.show()
  </code></pre>
  <p>However I would like to display the correlation coefficient among the variables and if possible the skewness and kurtosis of each variable.
  How do you do that in seaborn?</p>