All the useful websites!
I have already emailed these Dataviz resources to countless scientists - high time to post the collected links here!
The websites are organised by the different aspects of creating scientific data figures: 1. Choosing a chart, 2. text, 3. layouts, 4. colors. There are also links to special use cases and a bit of entertainment.
Choosing charts
- Severino Ribecca DataViz Catalogue
- Yan Holz Python Graph Gallery - also available for R!
- Ferdio’s illustrated guide
Further reading: Beyond bar and line plots
Text (replace text with images)
- Use abbreviations rarely, and only if tested.
- Add alt-text to support accessibility of figures. Here is how
- Consider replacing/enhancing text with icons.
Some general pictogram resources:
- SVG repo General Pictogram collection - public domain!
- Fontawesome, free with attribution
- The Nounproject - free use with attribution, registration necessary
- Flaticon General Pictogram collection
- Iconduck General Pictogram collection
- Simpleicons General Pictogram collection
Biology/Science
- New! Entirely in public domain, growing: NIH BioArt collection
- Simon Dürr’s bioicon collection - collection of all the public domain icons!
- Icons of all animals and plants etc - black icons, by now >10.000. Public domain, all made by Michael Keesey. Support him with a coffe!
- General science icons
- Science/chemistry icons:
- SCIDRAW a repository of free SVG cartoons for science supported by the Sainsbury Wellcome Centre, CC-BY
Medicine
Layout
Find inspiring Layouts in Will Timmins-Stahl BMJ Infografics
Color
- Color Brewer: Pick color schemes for data
- WebAIM Check if contrast of foreground and background colors are good (and other accessibility issues)
- Color palette designer
- Pick color from image icolorpalette.com/color-palette-from-images
- XKCD color study about color names XKCD
- Lisa Rost, datadrapper: Pick beautiful colors for your charts
Specials
Graphical Abstracts
My article about Graphical Abstracts (without Biorender)
Resources for image data
Tables
Check out my previous blog.
Fun with numbers
- How good are you at judging R-values? GuessTheCorrelation
- A funny tool to make up your data
- Eyeballing game: guess angles in data
- Clearly Nicolas cage is causing suicides: Correlation/Causation
- Guess the underlying dataset is for a daily chart, thank you for this addition from Christian!
Make it: Tools
A handy list for finding resources to tools and software: - All about creating charts in R by Eric-Jan Wagenmakers and Quentin F. Gronau, suggestion from Vincent
Slides from an introductory talk
- intro to why we visualize
- tips: how not to lie with charts
- exercises for improving poor charts