Principal Component Analysis

This animation visually walks through the steps of Principal Component Analysis, from centering the data and finding the direction of maximum variance to projecting points onto that axis. It concludes by highlighting the specific scenarios where PCA is effective and the four common pitfalls that cause it to fail.