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
Exercise instructions
- Import
seaborn
library assns
. - Import
matplotlib
library asplt
- Using the
distplot()
function plotsat
variable. - 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.____