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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

Summary

In this chapter, we learned how to use StatsPlots, the library for drawing statistical plots in the Plots ecosystem. First, we learned how to visualize univariate and bivariate distributions using StatsPlots, Gadfly, and AlgebraOfGraphics. Then, we explored the basic statistical plots that we can combine to display joint and marginal distributions. Finally, we learned how StatsPlots can compare distributions across groups and visualize clustering results. What you’ve learned in this chapter, combined with the knowledge you acquired in Chapter 1, An Introduction to Julia for Data Visualization and Analysis, and Chapter 5, Introducing the Grammar of Graphics, will enable you to make the most of Julia for visualizing and exploring tabular data. In the next chapter, we will learn about the visualization of another data layout: graphs.

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