Visualizing three numeric variables
There are also some "flat" alternatives to 3D plots that provide easier interpretation, though they require a little thinking about to make. A good approach is plotting the two numeric explanatory variables on the x- and y-axis of a scatter plot, and coloring the points according to the response variable.
taiwan_real_estate is available.
This exercise is part of the course
Intermediate Regression with statsmodels in Python
Exercise instructions
- Calculate the square-root of the distance to the nearest MRT stop as
sqrt_dist_to_mrt_m. - With the
taiwan_real_estatedataset, draw a scatter plot ofsqrt_dist_to_mrt_mversus the number of nearby convenience stores, colored by house price.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Transform dist_to_mrt_m to sqrt_dist_to_mrt_m
taiwan_real_estate["sqrt_dist_to_mrt_m"] = ____
# Draw a scatter plot of sqrt_dist_to_mrt_m vs. n_convenience colored by price_twd_msq
____
# Show the plot
plt.show()