Visualizing standard deviation with line plots
In the last exercise, we looked at how the average miles per gallon achieved by cars has changed over time. Now let's use a line plot to visualize how the distribution of miles per gallon has changed over time.
Seaborn has been imported as sns
and matplotlib.pyplot
has been imported as plt
.
This exercise is part of the course
Introduction to Data Visualization with Seaborn
Exercise instructions
- Change the plot so the shaded area shows the standard deviation instead of the confidence interval for the mean.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make the shaded area show the standard deviation
sns.relplot(x="model_year", y="mpg",
data=mpg, kind="line")
# Show plot
plt.show()