Constructing violin plots

Both strip and swarm plots visualize all the datapoints. For large datasets, this can result in significant overplotting. Therefore, it is often useful to use plot types which reduce a dataset to more descriptive statistics and provide a good summary of the data. Box and whisker plots are a classic way of summarizing univariate distributions but seaborn provides a more sophisticated extension of the standard box plot, called a violin plot.

Here, you will produce violin plots of the distribution of horse power ('hp') by the number of cylinders ('cyl'). Additionally, you will combine two different plot types by overlaying a strip plot on the violin plot.

As before, the DataFrame has been pre-loaded for you as auto.

In the first row of subplots, make a violin plot showing the distribution of 'hp' grouped by 'cyl'.
In the second row of subplots, make a second violin plot without the inner annotations (by specifying inner=None) and with the color 'lightgray'.
In the second row of subplots, overlay a strip plot with jitter and a point size of 1.5.

Take Hint (-30 XP)

Exercise

Constructing violin plots

Instructions