# Import Matplotlib and Seaborn import matplotlib.pyplot as plt import seaborn as sns # Create scatter plot of horsepow

This code creates a scatter plot of horsepower vs. mpg using the `relplot` function from Seaborn. The `kind="scatter"` argument specifies that we want a scatter plot, and the `size="cylinders"` argument sets the size of each point based on the number of cylinders in the car. ```python # Import Matplotlib and Seaborn import matplotlib.pyplot as plt import seaborn as sns # Create scatter plot of horsepower vs. mpg sns.relplot(x="horsepower", y="mpg", data=mpg, kind="scatter", size="cylinders") # Show plot plt.show() ``` Note that `mpg` is assumed to be a pandas DataFrame containing the relevant data. If you haven't already loaded the data into a DataFrame, you'll need to do that first using something like: ```python import pandas