From alright to all ready to publish
data-visualisation
dataviz-design-system
annotations
r-how-to
ggplot2
Advanced dataviz talk for RGlasgow, exploring how we can visualise rainfall in Glasgow and Edinburgh
It was an absolute pleasure joining the RGlasgow group for an in-person talk on advanced dataviz. We talked about optimising…
- colour
- text
- theme
- annotations
- interactivity
all within R, using {ggplot} and a few other packages. Retrace our steps in the slides, and scroll down for additional resources.
Slides
Resources
Colours
- Choosing colours for dataviz: Palatable Palettes, which includes links to further colour tools
- Checking your colour palette for accessibility: Chroma.js palette helper
Text & Annotations
- Colour contrast checker: colourcontrast.cc
- Font recommendations, and general typography fun: pimpmytype.com by Oliver Schöndorfer
- Getting fonts to work in R
- Additional font fun in R by June Choe
- Automating human-sounding sentences in R
- Ten tips for better text
- ggtext alignment cheatsheet
Theme
- DIY approach: Variations on a ggtheme, a lightening talk on five reasons why you should create your own bespoke theme and turn it into a function you can reuse throughout your project
- Dataviz Design System shortcut: Demo of the ophelia package, explaining the value in investing in a dataviz design system for your organisation
Interactivity
- David Gohel’s
{ggiraph}is my favourite package for this. The documentation is pretty great!
Reuse
Citation
For attribution, please cite this work as:
“From Alright to All Ready to Publish.” 2024. May 23, 2024.
https://www.cararthompson.com/talks/rglasgow_alright-to-all-ready/.