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  3. Introduction to Data Visualization with Seaborn

Exercise

Interpreting line plots

In this exercise, we'll continue to explore Seaborn's mpg dataset, which contains one row per car model and includes information such as the year the car was made, its fuel efficiency (measured in "miles per gallon" or "M.P.G"), and its country of origin (USA, Europe, or Japan).

How has the average miles per gallon achieved by these cars changed over time? Let's use line plots to find out!

Instructions 1/2

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  • Use relplot() and the mpg DataFrame to create a line plot with "model_year" on the x-axis and "mpg" on the y-axis.