Interactive Visualization and Plotting with Julia: Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

Description

Represent and analyze data using Plots to find actionable insights using Julia programming Key FeaturesLearn to use static and interactive plots to explore data with JuliaBecome well versed with the various plotting attributes needed to customize your plotsCreate insightful and appealing plots using data interactions, animations, layouts, and themesBook Description 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 Gadfly―focusing on the former―teaching 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. What you will learnCreate interactive plots with Makie, Plots, Jupyter, and PlutoCreate standard statistical plots and visualize clustering resultsPlot geographically distributed and biological dataVisualize graphs and networks using GraphRecipes and GraphPlotsFind out how to draw and animate objects with Javis, Plots, and MakieDefine plot themes to reuse plot visual aspect customizationsArrange plots using Plots, Makie, and Gadfly layout systemsDefine new plot types and determine how Plots and Makie show objectsWho this book is for 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. Table of ContentsAn Introduction to Julia for Data Visualization and AnalysisThe Julia Plotting EcosystemGetting Interactive Plots with JuliaCreating AnimationsIntroducing the Grammar of GraphicsCreating Statistical PlotsVisualizing GraphsVisualizing Geographically Distributed DataPlotting Biological DataThe Anatomy of a PlotDefining Plot Layouts to Create Figure PanelsCustomizing Plot Attributes – Axes, Legends, and ColorsDesigning Plot ThemesDesigning Your Own Plots – Plot Recipes Cover Title Page Copyright and Credits Contributors Table of Contents Preface Section 1 – Getting Started Chapter 1: An Introduction to Julia for Data Visualization and Analysis Technical requirements Getting started with Julia Installing Julia Interacting with the Julia REPL Running Julia scripts Installing and managing packages Installing Julia packages Loading packages Managing environments Choosing a development environment The Julia extension for VS Code Using Julia notebooks Knowing the basic Julia types for data visualization Defining and calling functions Working with Julia types Creating a basic plot Plotting multiple series Modifying plots Scatter plots Bar plots Heatmaps Simple layouts Summary Further reading Chapter 2: The Julia Plotting Ecosystem Technical requirements Plotting libraries Pure Julia packages Wrappers Understanding the Plots package Plots' backends Introducing Makie Summary Further reading Chapter 3: Getting Interactive Plots with Julia Technical requirements Libraries focusing on interactivity Modifying the underlying data Modifying data’s perceptual formatting Exploiting the interactivity of Plots backends Interactive and reactive plots with Makie Interactivity on Jupyter and Pluto notebooks Creating interactive visualizations with Pluto Interactive visualization with Jupyter Sharing your interactive visualizations Creating a Julia application Sharing Pluto notebooks Publishing JavaScript plots Creating applications to serve interactive plots Summary Further reading Chapter 4: Creating Animations Technical requirements Easy animation using Plots Using the Animations package Animating Makie plots Getting started with Javis Summary Further reading Section 2 – Advanced Plot Types Chapter 5: Introducing the Grammar of Graphics Technical requirements Introducing the Grammar of Graphics Working with DataFrames and tidy data Encoding data Exploring data with Gadfly Introducing the Grammar of Interactive Graphics with VegaLite Makie’s Algebra of Graphics Summary Further reading Chapter 6: Creating Statistical Plots Technical requirements Introducing StatsPlots Visualizing univariate distributions Drawing histograms Approximating density functions Introducing boxplots Visualizing distribution shapes with violin plots Comparing distributions with Q-Q plots Plotting bivariate distributions and regressions Drawing regression lines Creating marginal plots Visualizing clustering results Comparing between groups Summary Further reading Chapter 7: Visualizing Graphs Technical requirements Working with graphs in Julia Working with MetaGraph Saving and loading graphs Graph visualization packages Visualizing graphs with GraphPlot Exploring GraphRecipes Creating interactive graphs with GraphMakie Graph layouts Analyzing graphs Summary Further reading Chapter 8: Visualizing Geographically Distributed Data Technical requirements Creating choropleth maps Creating a choropleth map with Plots Creating a choropleth map with GeoMakie Introducing OpenStreetMapX Summary Further reading Chapter 9: Plotting Biological Data Technical requirements Visualizing phylogenetic trees Plotting a protein sequence and structure Exploring multiple sequence alignments Visualizing protein structures Creating dashboards for biological data Summary Further reading Section 3 – Mastering Plot Customization Chapter 10: The Anatomy of a Plot Technical requirements The anatomy of a Plots plot Knowing the components of Makie’s figures Exploring Gadfly’s customizable components Summary Further reading Chapter 11: Defining Plot Layouts to Create Figure Panels Technical requirements Creating layouts with Plots Understanding Makie’s layout system Composing Gadfly plots Summary Further reading Chapter 12: Customizing Plot Attributes – Axes, Legends, and Colors Technical requirements Exploring plot attributes Using LaTeX equations Formatting the fonts Customizing the axes Tailoring legends Coloring our figures Color attributes Summary Further reading Chapter 13: Designing Plot Themes Technical requirements Working with themes Using and defining themes with Plots Theming with Makie Using themes with Gadfly Summary Further reading   Chapter 14: Designing Your Own Plots – Plot Recipes Technical requirements Drawing shapes Creating plotting recipes User recipes Type recipes Plot recipes Series recipes Writing plotting recipes for Makie Summary Further reading Index Other Books You May Enjoy