This is an attempt to visually explain the core concepts of the Central Limit Theorem. By providing a variety of interactive components, this page seeks to provide an intuitive understanding of one of the foundational theories behind inferential statistics. It draws inspiration from other visual explanations, such as this one on decision trees and these wonderful projects from setosa.io.
Importantly, this is not a robust explanation of the theory, and it was not written by a formally trained statistician. If you have any feedback (about the explanation, implementation, or design), feel free to reach out on on twitter.
To run a local version of this project, fork and clone the repository, and follow these steps:
# Install modules
npm install
# Use gulp to build bundle.js file
gulp build
# Run a local server: view project at localhost:8080
python -m SimpleHTTPServer 8080