Use the ‘exercise’ dataset. Create a FacetGrid that visualizes the relationship between ‘pulse’ and ‘time’, separating data based on ‘kind’ and ‘diet’.
Example Output:
Use sns.FacetGrid along with the map function, specifying the col and row parameters.
import seaborn as sns
import matplotlib.pyplot as plt
def plot_facetgrid_two_variables():
exercise_data = sns.load_dataset('exercise')
g = sns.FacetGrid(exercise_data, col="diet", row="kind")
g.map(plt.scatter, "pulse", "time")
plt.show()
plot_facetgrid_two_variables()
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