Bookmark Collection
A loose collection of interesting links featuring open-access books, articles tools, tutorials, and personal blogs on data visualization in general and in the R programing language with ggplot2.
Data Visualization
Open-Access Books
- “Data Visualization” by Kieran Healy
- “Hands-On Data Visualization” by Jack Dougherty & Ilya Ilyankou
- “Fundamentals of Data Visualization” by Claus Wilke
Readings & Learnings
- “Nightingale Visualization” — journal by the Data Visualization Society
- “Our World in Data” — data on the world’s largest problems
- “Multiple Views: Visualization Research Explained” — data visualization blog on Medium
- “Graphics Principles”
- “Explorable Explanations”
- “Guide to Infographics”
Color Palettes
Color Tools
- VizPalette — colors in action (plus colorblind check)
- palettte.app — build, analyze, and edit smooth color palettes
- Chroma.js — color palette helper to master multi-hued, multi-stops color scales
- Data Color Picker — equidistant palette generator
- HCL Wizard — manipulating and assessing colors & palettes
- Colormind — color scheme generator
- Poline — enigmatic color palette generator
- Huemint — AI color palette generator (whatever that means)
- Pigment — two-color palette generator
- Semantic Pixel Generator — pixelate images and extract palettes
- Color Space — color palette generator
- ColorThief — grab color palettes from any image
- Poolors — least-used color combos
Color Guides
- “Friendly Guide to Colors” by Lisa C. Muth / DataWrapper
- “What to Consider when Choosing Colors” by Lisa C. Muth / DataWrapper
Chart Types
- From Data to Viz
- Data Viz Project
- Visualization Universe
- Material.io
- Data Visualization 101
- Chart of Chart Suggestions
- One Chart at a Time, 56 videos on 56 chart types
- 1 Dataset, 100 Visualizations
Mapping
- Spatial.ly Blog by James Cheshire
- Bivariate Choropleth Maps
- Value-by-Alpha Maps
R Stats / ggplot2
Open-Access Books
- “Big Book of R” — a collection of 150+ books!
- “R for Data Science” by Hadley Wickham & Garrett Grolemund
- “ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham
- “Geocomputation with R” by Robin Lovelace, Jakub Nowosad & Jannes Muenchow
- “Cookbook for R” by Winston Chang
- “Analyzing US Census Data: Methods, Maps, and Models in R” by Kyle Walker
- “Technical Foundations of Informatics” by Michael Freeman & Joel Ross
- “Efficient R Programming” by Colin Gillespie & Robin Lovelace
- “YaRrr! The Pirate’s Guide to R” by Nathaniel Phillips
Readings & Learnings
- “Five Simple Tipps to Improve Your R Code” by Simon Jackson
- “Creating and Using Custom ggplot2 Themes” by Thomas Mock
- “Themes to Improve Your ggplot Figures” from R for the Rest of Us
Galleries
- R Graph Gallery
- Gallery of ggplot2 Extensions
- Color Palettes in R
- tidytuesday.rocks (#TidyTuesday Collection)
Get Help
- RStudio Community
- R4DS Learning Community
- #TidyTuesday Community on Twitter
- Rstudio Cheatsheet Collection
- {ggplot2} reference
- {ggplot2} aesthetics finder
Interesting Personal Pages
(Random Topics, Alphabetic Order 🤷)
- Achim Tack — data & maps
- Alberto Cairo — information design and visualization
- Alli Torban — information design + DataViz Today podcast
- Andy Kirk — all about data visualization
- Anne–Marie Dofour — digital visualization design & development
- Bruno Rodrigues — data science in R and Python
- Charlotte Robinson — how to build a career in data science
- Chisato — colors & art with
{ggplot2} - David Robinson — data science using the
{tidyverse} - David Smale —
{shiny},{ggplot2}and more - Dominic Royé — mapping with
{ggplot2} - Dominikus Baur — theory and practice of visualizing data
- Emily Riederer — analytics with R
- Evelina Judeikyte — information design
- Geoff Boeing — Python & GIS
- Georgios Karamanis — R, visualizations & design
- Hugo Toscano — data science in R
- Ilya Kashnitsky — maps & demography in R
- Inbal Rief — product design thinker & doer
- James Cheshire — beautiful mapping
- Jon Schwabisch — policy viz
- Jorge Camões — data visualization
- Julia Ledur — visual journalism
- Maëlle Salmon — “goofing around with R”
- Matthias Stahl — visualizations with D3.js and Svelte
- Moritz Stefaner — beautiful data stories and visualizations
- Nadieh Bremer — wonderful visualizations and art
- Oliver Schöndorfer — “Pimp my Type”
- Oscar Baruffa — data science and guides
- Shirley Wu — data-driven art and visualizations
- William Chase — visualizations with R and D3.js S