You're reading from Interactive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781801810517

Length 392 pages

Edition 1st Edition

Languages

Julia

Tools

Jupyter

Concepts

Data Visualization

Author (1):

Diego Javier Zea

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1 – Getting Started

2. Chapter 1: An Introduction to Julia for Data Visualization and Analysis FREE CHAPTER

3. Chapter 2: The Julia Plotting Ecosystem

4. Chapter 3: Getting Interactive Plots with Julia

5. Chapter 4: Creating Animations

6. Section 2 – Advanced Plot Types

7. Chapter 5: Introducing the Grammar of Graphics

8. Chapter 6: Creating Statistical Plots

9. Chapter 7: Visualizing Graphs

10. Chapter 8: Visualizing Geographically Distributed Data

11. Chapter 9: Plotting Biological Data

12. Section 3 – Mastering Plot Customization

13. Chapter 10: The Anatomy of a Plot

14. Chapter 11: Defining Plot Layouts to Create Figure Panels

15. Chapter 12: Customizing Plot Attributes – Axes, Legends, and Colors

16. Chapter 13: Designing Plot Themes

17. Chapter 14: Designing Your Own Plots – Plot Recipes

18. Other Books You May Enjoy

Analyzing graphs

In the previous sections, we learned how to work with Graphs and visualize them using Julia. In this section, we will briefly mention a few analysis tools that are available in the Graphs package and discuss some visualization opportunities.

Graphs offer functions for assessing graph connectivity. Among those functions, we can find the connected_components function for undirected graphs and the strongly_connected_components and weakly_connected_components functions for directed graphs. These functions return a vector of vectors containing the indices of the vertices that belong to a given component. If you want to visualize one of the connected components, you can use the induced_subgraph function to get the induced subgraph by the vertices in the corresponding component.

The Graphs package also offers an articulation function, which returns a vector with all the cut vertices in a connected graph. As we have a list of vertex indices as output, it is easy to...