Visualize the response

In the video you learned the main characteristics of the Poisson random variable and how its distribution changes as the parameter \(\lambda\) changes. In this exercise, you will examine the response variable visually to assess the parameter value, spread of the distribution or its skewness.

You will use the crab dataset which you used in previous chapter exercises, but now you will analyze the number of satellite crabs sat, instead of whether there is at least one, near the nesting place.

The crab dataset has been preloaded in the workspace.

This exercise is part of the course

Generalized Linear Models in Python

View Course

Exercise instructions

Import seaborn library as sns.
Import matplotlib library as plt
Using the distplot() function plot satvariable.
Display the plot using show() function.

Hands-on interactive exercise

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

# Import libraries
import ____ as sns
import ____.pyplot as plt

# Plot sat variable
sns.____(____[____])

# Display the plot
plt.____

Edit and Run Code