Visualizing numeric vs. categorical

If the explanatory variable is categorical, the scatter plot that you used before to visualize the data doesn't make sense. Instead, a good option is to draw a histogram for each category.

The Taiwan real estate dataset has a categorical variable in the form of the age of each house. The ages have been split into 3 groups: 0 to 15 years, 15 to 30 years, and 30 to 45 years.

taiwan_real_estate is available.

This exercise is part of the course

Introduction to Regression with statsmodels in Python

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Exercise instructions

Using taiwan_real_estate, plot a histogram of price_twd_msq with 10 bins. Split the plot by house_age_years to give 3 panels.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Histograms of price_twd_msq with 10 bins, split by the age of each house
sns.____(data=____,
         x=____,
         ____=____,
         ____=____)

# Show the plot
____

Edit and Run Code