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!
This exercise is part of the course
Intermediate Data Visualization with Seaborn
Exercise instructions
- Plot a
pandashistogram without adjusting the style. - Set Seaborn's default style.
- Create another
pandashistogram of thefmr_2column which represents fair market rent for a 2-bedroom apartment.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot the pandas histogram
df['fmr_2'].plot.____()
plt.show()
plt.clf()
# Set the default seaborn style
sns.____()
# Plot the pandas histogram again
df['fmr_2'].plot.____()
plt.show()
plt.clf()