In helping MatplotSip visualize their data, you’ve learned a bunch of new plot types that you can use in Matplotlib. Congratulations on adding these new plotting abilities to your repertoire:

  • How to compare categories of data with bar graphs
  • Add error bars to graphs
  • Use fill_between to display shaded error on line graphs
  • Create stacked bar graphs for easier comparisons
  • Create side-by-side bar graphs
  • Create and format pie charts to compare proportional datasets
  • Analyze frequency data using histograms, including multiple histograms on the same plot
  • Normalize histograms

In the upcoming project, you will experiment with these different plot types and how to best use them to find patterns or trends in a new data set.


When you’re ready to move on, press Next to continue!

Sign up to start coding

By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.

Already have an account?