Curated
Open shelves.
Tools, communities, foundational texts, and open data sources I keep coming back to — free, canonical, and worth your time.
Tools & publishing
Publishing
Quarto
Open-source scientific publishing for R, Python, Julia, and Observable.
Tools
Posit
The team behind RStudio. Tools that cover the full analysis-to-deployment loop.
Apps
Shiny
Build interactive web applications in R (and now Python).
Hosting
GitHub Pages
Free static hosting straight from a repository.
Community & reading
Foundations
Book
R for Data Science
The canonical free text for practical analysis — import, tidy, visualize, model, communicate.
Book
An Introduction to Statistical Learning
The gateway to modern machine learning, free from the authors, with R and Python labs.
Course
OpenIntro Statistics
A rigorous, openly licensed statistics course in book form — where I point beginners first.
Open data
Practice
TidyTuesday
A fresh real-world dataset every week — the best deliberate practice in the R community.
Reference
Our World in Data
Long-run global data on health, education, and energy — with sources you can trace.
Catalog
Data.gov
The US government’s open data catalog — hundreds of thousands of public datasets.