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

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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

Introducing the Grammar of Graphics

Wilkinson’s book, The Grammar of Graphics, defined grammar to express the underlying structure of statistical graphs. This allowed us to go from a fixed set of named graphs, such as scatter or line plots, to a whole range of more complex visualizations. This was possible since grammar sets up the rules to combine different components to create new graphs. The R language adaptation of this grammar, described in Wickham’s article, A Layered Grammar of Graphics, has been the most influential to the Julia ecosystem. This section will discuss the main aspects of this grammar so that we can understand their adaptations to the Julia language.

The main components of a graph, according to the Layered Grammar of Graphics, are as follows:

Data: This is a critical part of a plot that’s able to turn an abstract graph specification into a concrete instance for that specific data. We will discuss data and its representation in more...