Data Science with Python

Chapter 2

Data Visualization

Learning Objectives

By the end of this chapter, you will be able to:

• Create and customize line plots, bar plots, histograms, scatterplots, and box-and-whisker plots using a functional approach
• Develop a programmatic, descriptive plot title
• Describe the advantages of using an object-oriented approach to create Matplotlib plots
• Create a callable figure object containing a single axis or multiple axes
• Resize and save figure objects with numerous subplots
• Create and customize common plot types using Matplotlib

This chapter will cover various concepts that fall under data visualization.

Introduction

Data visualization is a powerful tool that allows users to digest large amounts of data very quickly. There are ...