In this section, we'll learn about the various categorical plots supported by seaborn and how to draw them. We will demonstrate how to draw plots including a scatterplot, swarmplots, box plots, bar plots, and more. We'll also learn how to draw wide-form categorical plots.

Let's start by importing our pandas module in our Jupyter Notebook with the following code:

import pandas as pd
from matplotlib import pyplot as plt
%matplotlib inline
import seaborn as sns

Along with pandas, we also need to import the Matplotlib and seaborn Python libraries. We then read in our CSV dataset, as follows:

df = pd.read_csv('data_simpsons_episodes.csv')
df.head()

Our dataset in this section is for the famous animated TV series, The Simpsons:

The preceding dataset includes release dates, viewership numbers, ratings, and a bunch of other observations for each  The Simpsons episode.