Content
Rstats
- “Cookbook for R” — free online book by Winston Chang
- “Technical Foundations of Informatics” — free online book by Michael Freeman & Joel Ross
- “Efficient R Programming” — free online book by Colin Gillespie & Robin Lovelace
- “YaRrr! The Pirate’s Guide to R” — free online book by Nathaniel Phillips
- R Graph Gallery
- Five Simple Tipps to Improve Your R Code
{tidyverse}
- “R for Data Science” — free online book by Hadley Wickham & Garrett Grolemund
{ggplot2}
- Source code of the book “Fundamentals of Data Visualization”
- Top 50 ggplot visualizations
- Gallery of ggplot2 extensions
- Extending ggplot2
Spatial Data
- “Geocomputation with R” — free online book by Robin Lovelace, Jakub Nowosad & Jannes Muenchow
DataViz
- “Data Visualization” — free online book by Kieran Healy
- “Fundamentals of Data Visualization” — free online book by Claus Wilke
- “Visualizing Data” — homepage by Andy Kirk
- “Visual Cinnamon” — homepage by Nadieh Bremer
- Explorable Explanations
- “Nightingale” — blog by the Data Visualization Society on Medium
- “Multiple Views: Visualization Research Explained” — DataViz blog on Medium
- Graphics Principles Cheatsheet
Colors
- Viz Palette — colors in action (plus colorblind check)
- Color Space — color palette generator
- Chroma.js — color palette helper
- HCL Wizard — manipulating and assessing colors & palettes
- ColorThief — grab color palettes from any image
- Data Color Picker — Generator of equidistant sequential, monochromatic and diverging palettes
- DataWrapper’s Friendly Guide to Colors and What to Consider when Choosing Colors
Chart Types
- From Data to Viz
- Data Viz Project
- Visualization Universe
- Material.io
- Data Visualization 101
- Chart of Chart Suggestions
Mapping
- Spatial.ly Blog by James Cheshire
- Bivariate Chloropleth Maps
- Value-by-Alpha Maps
Interesting Personal Blogs
(Random Topics, Random Order 🤷)
- Chisato — colors & art with
{ggplot2} - Dominic Roye — mapping with
{ggplot2} - David Smale —
{shiny},{ggplot2}and more - Andy Kirk — all about DataViz!
- Maëlle Salmon — “goofing around with R”
- David Robinson — data science using the
{tidyverse} - Charlotte Robinson
- Bruno Rodrigues — data science in R and Python
- James Cheshire — beautiful mapping
- Ilya Kashnitsky — maps & demography in R
- Hugo Toscano — data science in R
- Geoff Boeing — Python & GIS
- Our World in Data — “data on the world’s largest problems”
- Dynamic Ecology — population, community & evolutionary ecology
- Florian Hartig — ecology, evolution & statistics