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Interactive Visualization and Plotting with Julia

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

Further reading

We recommend taking a look at the Plots and Makie documentation. In particular, you will learn more about Plots' backends here: http://docs.juliaplots.org/latest/backends/.
You can look at the Examples section to see how different backends render the same plots. Finally, there is a table with the supported attributes for each Plots' backend here: http://docs.juliaplots.org/latest/generated/supported/.
Information about the Makie backends is here: https://makie.juliaplots.org/stable/documentation/backends/.
We also recommend taking a look at Makie's publication: Makie.jl: Flexible high-performance data visualization for Julia, The Journal of Open Source Software, Simon Danisch and Julius Krumbiegel, (2021), 6(65), 3349 (https://doi.org/10.21105/joss.03349).

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Authors (1)

Diego Javier Zea

Diego Javier Zea

Diego Javier Zea is a contributor to the Julia Plots ecosystem and developer of MIToS, a Julia package for studying protein sequence and structure in the Julia language. He holds a Ph.D. in bioinformatics and has worked as a postdoctoral researcher at the Leloir Institute Foundation in Buenos Aires and Sorbonne Université and Muséum National d'Histoire Naturelle in Paris. He is now an Assistant Professor at Université Paris-Saclay, studying protein structure, interactions, and evolution.

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