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.
This exercise is part of the course
Intermediate Data Visualization with Seaborn
Exercise instructions
- Create a
displot
of theAward_Amount
column in thedf
. - Configure it to show a shaded kde plot (using the
kind
andfill
parameters). - Add a rug plot above the x axis (using the
rug
parameter). - Display the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a displot of the Award Amount
sns.displot(df['____'],
kind='____',
rug=____,
fill=____)
# Plot the results
plt.____()