The joint plot is a multi-panel visualization; it shows the bivariate relationship and distribution of individual variables in a single graph. We can also plot a KDE using the kind parameter of jointplot(). By setting the kind parameter as "kde", we can draw the KDE plot. Let's see the following example:
# Create joint plot using kernel density estimation(kde)
sns.jointplot(x='satisfaction_level', y='last_evaluation', data=df, kind="kde")
# Show figure
plt.show()
This results in the following output:
In the preceding plot, we have created the joint plot using jointplot() and also added the kde plot using a kind parameter as "kde". Let's jump to heatmaps for more diverse visualization.
