| resource | description | |
|---|---|---|
cheatsheets |
ggplot2 cheatsheet | Data visualization with ggplot cheatsheet |
tutorials |
Jenny Bryan’s ggplot2 tutorial | Teaching materials and a tutorial for ggplot2 |
| A comprehensive 3-part ggplot2 tutorial | A complete three-part tutorial that focuses on making nice visualizations with ggplot2 | |
| Plotting in R | A brief tutorial to learn how to plot in R using base, lattice, and ggplot2 | |
| Harvard R graphics with ggplot2 workshop | An advanced tutorial for creating graphics with ggplot2 that touches on statistical transformation | |
| Wiz for Data Viz | A longer course stream aimed at students who want to improve and expand their data visualization skills. Created by “Our Coding Club” at the University of Edinburgh, free & open-source! | |
| Shiny tutorial | Shiny is an R package that allows you to build interactive web apps straight from R - another way to tell your data story! | |
books |
ggplot2 book | Hadley’s “ggplot2: elegant graphics for data analysis” |
| Grammar of Graphics | Leland Wilkinson’s grammar of graphics provides a framework to create visualizations in a layered & structured manner | |
| Fundamentals of Data Visualization | A guide to making visualizations that accurately reflect the data, tell a story, and look professional. | |
| R Graphics Cookbook | Focuses on creating graphs in R using ggplot2 | |
| Fundamentals of Data Visualization | From the book: “a guide to making visualizations that accurately reflect the data, tell a story, and look professional.” | |
other fun things |
Jenny Bryan’s STAT545 Effective Visualizations | “Do’s and don’ts of making effective graphics” by Jenny Bryan |
| Recognizing misleading axes | Calling Bull I: Identifying misleading axes on graphs | |
| The Principle of Proportional Ink | Calling Bull II: The principle of proportional ink | |
| Less is More | A simple animation about data-ink ratio - when it comes to graphs, less is more | |
| Data-to-Viz | A tool to help you choose the most appropriate graph for your data (and things to avoid) | |
| Colourblind-friendly palette | Colours I: Two colorblind-friendly color palettes from the R cookbook | |
| Comprehensive list of R colour palettes by Emil Hvidtfeldt | Colours II: All (or almost all) color palettes available in the R ecosystem, curated by Emil Hvitfeldt | |
| Interactive Coloring for Colorblindness | Colours III: A resource to make your own colorblind-friendly palette, pays attention to different types of colorblindness | |
| Interactive Graphs with Plotly | Originally developed for Python, plotly allows for interactive exploration of a plot made with ggplot2 |
Attribution
Thanks to Icíar Fernández Boyano for gathering this list from past STAT 545 iterations.