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  3. Intermediate Data Visualization with Seaborn

Exercise

Setting the default style

For these exercises, we will be looking at fair market rent values calculated by the US Housing and Urban Development Department. This data is used to calculate guidelines for several federal programs. The actual values for rents vary greatly across the US. We can use this data to get some experience with configuring Seaborn plots.

All of the necessary imports for seaborn, pandas and matplotlib have been completed. The data is stored in the pandas DataFrame df.

By the way, if you haven't downloaded it already, check out the Seaborn Cheat Sheet. It includes an overview of the most important concepts, functions and methods and might come in handy if you ever need a quick refresher!

Instructions

100 XP
  • Plot a pandas histogram without adjusting the style.
  • Set Seaborn's default style.
  • Create another pandas histogram of the fmr_2 column which represents fair market rent for a 2-bedroom apartment.