Performing univariate analysis using a pie chart

A pie chart is a circular visual that displays the relative sizes of various categories. Each slice of a pie chart represents a category and each category’s size is proportional to its fraction of the total size of the data, typically 100 percent. Pie charts allow us to easily compare various categories.

In this recipe, we will explore how to create pie charts in matplotlib. seaborn doesn’t have a pie chart method for creating pie charts, so, we will use matplotlib to achieve this. The pie method in matplotlib can be used for this.

Getting ready

We will continue to work with the Palmer Archipelago (Antarctica) Penguin data from Kaggle in this recipe.

How to do it…

Let’s learn how to create a pie chart using the matplotlib library:

1. Import the pandas and seaborn libraries:

   import pandas as pd
   import matplotlib.pyplot as plt
   import seaborn as sns

2. Load the .csv into a dataframe using...