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

Chapter 3: Getting Interactive Plots with Julia

Interactive visualization is critical for analyzing large and complex datasets, where static plots can show only some aspects. Through interaction, it is possible to explore data more profoundly, which could lead us to formulate new hypotheses or gain further insight into the task at hand.

Julia is a dynamic programming language that lets us be in the loop thanks to its advanced read-eval-print loop (REPL). However, the interactivity we can get with Julia goes even further, thanks to a whole series of packages that significantly improve our experience when analyzing and visualizing data. We have introduced some of those packages in the previous chapters: Plots, Makie, Pluto, and IJulia. In this chapter, we will learn how to use them to create interactive visualizations.

You will learn in this chapter many ways to get interactive visualizations using Julia. We will explore interactive plotting libraries, emphasizing Makie and Plotly...