Data Explorer · preview
Explore open datasets interactively.
Learning paths
Structured routes through the material.
If you don't know where to start, start here. Each path is a curated sequence of glossary terms, guides, and references.
COMING SOON — Guides in preparation
Applied Regression for Social Scientists
From "what is a regression?" to running, diagnosing, and reporting a properly specified model.
Mixed Models from First Principles
Why clustering matters, how to specify random effects, what to do when lme4 fails, and when to go Bayesian.
Causal Inference in Observational Data
Identification strategies for when you cannot randomise. From parallel trends to local average treatment effects.
Why we build this
"Science advances when knowledge moves freely. We have the skills to make more of it move."
Every tool, guide, dataset, and glossary entry here is permanently free. No freemium tier. No email capture. The work we cite is cited properly. The tools we depend on are acknowledged. If you find something useful, use it — that's the point.