Interactive Visualization and Plotting with Julia: Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more
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Packt Publishing
The Julia programming language offers a fresh perspective into the data visualization field.
Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You'll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You'll find out how to create animations, a handy skill for communication and teaching. Then, the book shows how to solve data analysis problems using DataFrames and various plotting packages based on the grammar of graphics. Furthermore, you'll discover how to create the most common statistical plots for data exploration. Also, you'll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into plot customizations with Plots, Makie, and Gadflyfocusing on the formerteaching you to create plot themes, arrange multiple plots into a single figure, and build new plot types.
By the end of this Julia book, you'll be able to create interactive and publication-quality static plots for data analysis and exploration tasks using Julia.
Review
"Interactive Visualization and Plotting with Julia provides Julia users with a path to visualization mastery in Julia. By covering the whole breadth of tools available, like Makie, Plots, and more, developers walk away with an understanding of the ecosystem as a whole which will prepare them to use Julia and contribute. Personally, I find the ability to create graphics and visuals that help people understand data to be a superpower. Diego does an incredible job of explaining how you can do this both mechanically and from a high level."
--Logan Kilpatrick, Lead Developer Community Advocate at Julia
About the Author
Diego Javier Zea is a contributor to the Julia Plots ecosystem and developer of MIToS, a Julia package for studying protein sequence and structure in the Julia language. He holds a Ph.D. in bioinformatics and has worked as a postdoctoral researcher at the Leloir Institute Foundation in Buenos Aires and Sorbonne Universit and Musum National d'Histoire Naturelle in Paris. He is now an Assistant Professor at Universit Paris-Saclay, studying protein structure, interactions, and evolution.
- Create interactive plots with Makie, Plots, Jupyter, and Pluto
- Create standard statistical plots and visualize clustering results
- Plot geographically distributed and biological data
- Visualize graphs and networks using GraphRecipes and GraphPlots
- Find out how to draw and animate objects with Javis, Plots, and Makie
- Define plot themes to reuse plot visual aspect customizations
- Arrange plots using Plots, Makie, and Gadfly layout systems
- Define new plot types and determine how Plots and Makie show objects
Data analysts looking to explore Julia's data visualization capabilities will find this book helpful, along with scientists and academics who want to generate and communicate knowledge and improve their teaching material. This data visualization book will also interest Julia programmers willing to delve into the language plotting ecosystem and improve their visualization skills. Basic programming knowledge is assumed but the book will introduce you to Julia's important features. Familiarity with mathematical and statistical concepts will help you make the most of some of the chapters.
- An Introduction to Julia for Data Visualization and Analysis
- The Julia Plotting Ecosystem
- Getting Interactive Plots with Julia
- Creating Animations
- Introducing the Grammar of Graphics
- Creating Statistical Plots
- Visualizing Graphs
- Visualizing Geographically Distributed Data
- Plotting Biological Data
- The Anatomy of a Plot
- Defining Plot Layouts to Create Figure Panels
- Customizing Plot Attributes Axes, Legends, and Colors
- Designing Plot Themes
- Designing Your Own Plots Plot Recipes
