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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

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801810517
Length 392 pages
Edition 1st Edition
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Author (1):
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Diego Javier Zea Diego Javier Zea
Author Profile Icon Diego Javier Zea
Diego Javier Zea
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Table of Contents (19) Chapters Close

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 2: The Julia Plotting Ecosystem

The Julia package ecosystem offers multiple plotting options. Each of them has its strengths and weaknesses. Among those packages, two packages stand out, thanks to their fresh and innovative design: Plots and Makie. These two high-level packages allow you to choose the plotting backend that finally renders the plot.

This chapter will explore some of the most helpful packages for data visualization in the Julia ecosystem. We will explore the original philosophy behind Plots and Makie and learn about their plotting backends. Specifically, we will describe their features for allowing interactive data analysis.

At the end of this chapter, you will be able to make a well-founded decision when choosing a plotting package or backend for your data visualization task. Also, you will be able to take advantage of the backend agnostic plotting instructions that Plots and Makie offer.

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

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