[AI Summary]: Seeing Theory is an interactive educational platform that makes statistics and probability more accessible through visual animations and simulations. Created by Daniel Kunin while at Brown University, it covers six fundamental chapters: Basic Probability, Compound Probability, Probability Distributions, Frequentist Inference, Bayesian Inference, and Regression Analysis. Built using D3.js, each chapter features interactive visualizations that allow users to manipulate parameters and see real-time effects on statistical concepts. The platform has received multiple awards including recognition from Information is Beautiful Awards, Webby Awards, and SXSW Interactive Innovation Awards.
- Creator: Daniel Kunin (Brown University)
- Platform: Web-based interactive visualization
- Technology: D3.js
- Awards: Webby Award, Information is Beautiful Award, SXSW Interactive Innovation Award