Interactive Visualization and Plotting with Julia

• Chapter 01 — An Introduction to Julia for Data Visualization and Analysis
  • Taking advantage of Jupyter notebooks through IJulia
  • Knowing the basic Julia types for data visualization
  • Creating a basic plot
• Chapter 02 — The Julia Plotting Ecosystem
  • Plotting libraries
• Chapter 03 — Getting Interactive Plots with Julia
  • Triggering actions using Observables
  • Creating interactive visualizations with Pluto
  • Creating interfaces with PlutoUI
  • Interactive plotting with WGLMakie and Pluto
• Chapter 04 — An Introduction to Julia for Data Visualization and Analysis
  • Easy animation using Plots (verbose)
  • Easy animation using Plots
  • Using the Animations package
  • Animating Makie plots
  • Getting started with Javis
• Chapter 05 — Introducing the Grammar of Graphics
  • Working with DataFrames and tidy data
  • Exploring data with Gadfly
  • Introducing the Grammar of Interactive Graphics with VegaLite
  • Makie's Algebra of Graphics
• Chapter 06 — Creating Statistical Plots
  • Anscombe’s quartet
  • Introducing StatsPlots
  • Drawing histograms (StatsPlots)
  • Drawing histograms (Gadfly)
  • Drawing histograms (Makie)
  • Approximating density functions (StatsPlots)
  • Approximating density functions (Gadfly)
  • Approximating density functions (Makie)
  • Introducing boxplots (StatsPlots)
  • Introducing boxplots (Gadfly)
  • Introducing boxplots (Makie)
  • Visualizing distribution shapes with violin plots (StatsPlots)
  • Visualizing distribution shapes with violin plots (Gadfly)
  • Visualizing distribution shapes with violin plots (Makie)
  • Comparing distributions with Q-Q plots (StatsPlots)
  • Comparing distributions with Q-Q plots (Gadfly)
  • Comparing distributions with Q-Q plots (Makie)
  • Plotting bivariate distributions and regressions
  • Drawing regression lines (Gadfly)
  • Drawing regression lines (Makie)
  • Creating marginal plots
  • Visualizing clustering results
  • Comparing between groups
• Chapter 07 — Visualizing Graphs
  • Working with graphs in Julia
  • Working with graphs in Julia (directed graphs)
  • Working with MetaGraph
  • Saving and loading graphs
  • Visualizing graphs with GraphPlot
  • Exploring GraphRecipes
  • Creating interactive graphs with GraphMakie
• Chapter 08 — Visualizing Geographically Distributed Data
  • Creating a choropleth map with Plots
  • Creating a choropleth map with GeoMakie
  • Introducing OpenStreetMapX
• Chapter 09 — Plotting Biological Data
  • Visualizing phylogenetic trees
  • Exploring multiple sequence alignments
  • Visualizing protein structures
• Chapter 10 — The Anatomy of a Plot
  • The anatomy of a Plots plot
  • Knowing the components of Makie’s figures
• Chapter 11 — Defining Plot Layouts to Create Figure Panels
  • Creating layouts with Plots
  • Understanding Makie’s layout system
• Chapter 12 — Customizing Plot Attributes – Axes, Legends, and Colors
  • Exploring plot attributes
  • Using LaTeX equations
  • Tailoring legends
  • Coloring our figures
  • Color attributes
• Chapter 13 — Designing Plot Themes
  • Using and defining themes with Plots
  • Theming with Makie
• Chapter 14 — Designing Your Own Plots – Plot Recipes
  • Drawing shapes
  • Drawing shapes (custom marker shapes)
  • Creating plotting recipes
  • Plot recipes
  • Writing plotting recipes for Makie