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 1: An Introduction to Julia for Data Visualization and Analysis

Julia is a high-level, general-purpose language that offers a fresh approach to data analysis and visualization. Its clean syntax and high performance make Julia a language worth knowing for any data scientist.

This chapter will introduce the minimum set of concepts and techniques needed for data visualization in Julia. Therefore, we will explore Julia's essential tools for representing, analyzing, and plotting data in a reproducible way. If you are starting with Julia, this chapter is vital to you. Advanced Julia users wanting to learn about the Plots package can benefit from the last section of this chapter.

After reading this chapter, you will know how to set up a Julia reproducible environment for developing your data visualization tasks. You will know how to use Julia and the Plots library to create basic plots, particularly heatmaps, scatter, bar, and line plots.

In this chapter, we're going to cover the following main topics: