Exercise

# Changing the size of scatter plot points

In this exercise, we'll explore Seaborn's `mpg`

dataset, which contains one row per car model and includes information such as the year the car was made, the number of miles per gallon ("M.P.G.") it achieves, the power of its engine (measured in "horsepower"), and its country of origin.

What is the relationship between the power of a car's engine (`"horsepower"`

) and its fuel efficiency (`"mpg"`

)? And how does this relationship vary by the number of cylinders (`"cylinders"`

) the car has? Let's find out.

Let's continue to use `relplot()`

instead of `scatterplot()`

since it offers more flexibility.

Instructions 1/2

**undefined XP**

- Use
`relplot()`

and the`mpg`

DataFrame to create a scatter plot with`"horsepower"`

on the x-axis and`"mpg"`

on the y-axis. Vary the size of the points by the number of cylinders in the car (`"cylinders"`

).