📉 R4DEV 📈

Learn reproducible data analysis and visualisation with R –from your first Quarto document to interactive maps, animations, web apps, and programming Large Language Models. Free, open-source, and tested on real humans¹ at the OECD.

Start with session 1 → New: the AI track 🤖 Wait, what is this?

🧹 Wrangle & plot

Tidy messy data with the tidyverse² and turn it into plots people remember with ggplot2, plotly and ggiraph.

🗺️ Map, animate, ship

Build maps with sf and leaflet, animate anything with gganimate, and publish apps and entire websites with shiny and Quarto.

🤖 Talk to machines

Call LLMs from code with ellmer, turn prose into tidy data, and build apps that answer questions about your data in plain language.

All progress is piecemeal, so the workshop is in a permanent state of improvement –check back for updates, new material and corrections.

TipCheat sheets for

Download the Posit cheat sheets –one page per package, all killer no filler

ImportantTidyverse style guide

This is an amazing guide on how to code well

Sessions 📊

Tools 🛠️

Footnotes

1. Thanks to Zélie, Rebecca, Rossana, Romane, Emma, Shivona, Maëlle and others who tested, often with their patience, earlier versions of this workshop.

2. The tidyverse is a collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. Install the complete tidyverse with: install.packages("tidyverse"). If you prefer base R code, suit yourself but I do not recommend it.