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  3. Introduction to Data Visualization with Seaborn

Exercise

Customizing point plots

Let's continue to look at data from students in secondary school, this time using a point plot to answer the question: does the quality of the student's family relationship influence the number of absences the student has in school? Here, we'll use the "famrel" variable, which describes the quality of a student's family relationship from 1 (very bad) to 5 (very good).

As a reminder, to create a point plot, use the catplot() function and specify the name of the categorical variable to put on the x-axis (x=____), the name of the quantitative variable to summarize on the y-axis (y=____), the pandas DataFrame to use (data=____), and the type of categorical plot (kind="point").

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

Instructions 1/3

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  • Use sns.catplot() and the student_data DataFrame to create a point plot with "famrel" on the x-axis and number of absences ("absences") on the y-axis.