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The Data Visualization Workshop
book

The Data Visualization Workshop

by Mario Döbler, Tim Großmann, Rohan Chikorde, Joshua Görner, Anshu Kumar, Piotr Malak, Ankit Verma
July 2020
Beginner to intermediate content levelBeginner to intermediate
536 pages
8h 47m
English
Packt Publishing
Content preview from The Data Visualization Workshop

4. Simplifying Visualizations Using Seaborn

Overview

In this chapter, we will see how Seaborn differs from Matplotlib and construct effective plots leveraging the advantages of Seaborn. Specifically, you will use Seaborn to plot bivariate distributions, heatmaps, pairwise relationships, and so on. This chapter also teaches you how to use FacetGrid for visualizing plots for multiple variables separately. By the end of this chapter, you will be able to explain the advantages Seaborn has compared to Matplotlib and design visually appealing and insightful plots efficiently.

Introduction

In the previous chapter, we took an in-depth look at Matplotlib, one of the most popular plotting libraries for Python. Various plot types were covered, and ...

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Publisher Resources

ISBN: 9781800568846Supplemental Content