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Rug plot and kde shading

Now that you understand some function arguments for displot(), we can continue further refining the output. This process of creating a visualization and updating it in an incremental fashion is a useful and common approach to look at data from multiple perspectives.

Seaborn excels at making this process simple.

Cet exercice fait partie du cours

<cours>Intermediate Data Visualization with Seaborn</cours>
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Instructions de l’exercice

  • Create a displot of the Award_Amount column in the df.
  • Configure it to show a shaded kde plot (using the kind and fill parameters).
  • Add a rug plot above the x axis (using the rug parameter).
  • Display the plot.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

# Create a displot of the Award Amount
sns.displot(df['____'],
             kind='____',
             rug=____,
             fill=____)

# Plot the results
plt.____()
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