Introduction

In recent chapters, we've learned about some of the most widely used and state-of-the-art visualization libraries for Python. In the previous chapter, we advanced from simple static plots to building interactive visualizations using Bokeh, which allowed us to gain control over what is displayed to the users.

To consolidate what we have learned, we will provide you with three sophisticated activities. Each activity uses one of the libraries that we have covered in this book. Each activity has a more extensive dataset than we have used before, which will prepare you to work with real-world examples.

In the first activity, we will consolidate the acquired knowledge in Matplotlib and Seaborn. For a quick recap, Matplotlib allows the generation of various plot types with just a few lines of code. Seaborn is based on Matplotlib and provides a high-level interface for creating visually appealing charts. It dramatically extends Matplotlib with predefined visualization...