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  3. Introduction to Data Visualization with Seaborn

Exercise

Adjusting the whiskers

In the lesson we saw that there are multiple ways to define the whiskers in a box plot. In this set of exercises, we'll continue to use the student_data dataset to compare the distribution of final grades ("G3") between students who are in a romantic relationship and those that are not. We'll use the "romantic" variable, which is a yes/no indicator of whether the student is in a romantic relationship.

Let's create a box plot to look at this relationship and try different ways to define the whiskers.

We've already imported Seaborn as sns and matplotlib.pyplot as plt.

Instructions 1/3

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  • 1

    Adjust the code to make the box plot whiskers to extend to 0.5 * IQR. Recall: the IQR is the interquartile range.

  • 2

    Change the code to set the whiskers to extend to the 5th and 95th percentiles.

  • 3

    Change the code to set the whiskers to extend to the min and max values.