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📊 Principal Component Analysis (2D)

Interactive 2D Principal Component Analysis visualizer. Adjust correlation and spread, click to add points, and watch the real covariance-matrix eigenvectors and explained variance update live.

Statistics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

⚙ Under the hood

Interactive 2D PCA visualizer. Adjust the correlation and spread of a point cloud, or click to add your own points, and watch the covariance matrix eigenvectors update live. See explained variance for each principal axis and the resulting variance ratio.

statisticspcaeigenvectorscovariancedata-sciencelinear-algebra

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install