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Principal Component Analysis: An Interactive Lab

Explore how standardization and orthogonal principal components reveal the directions of greatest variation in data.

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Interactive model

Principal Component Analysis

Project standardized feature values onto orthogonal directions and compare the variance captured by each component.

Study 1, practice 1; PC1 score -2.00Study 1, practice 3; PC1 score -1.50Study 1, practice 5; PC1 score -1.00Study 1, practice 7; PC1 score -0.50Study 1, practice 9; PC1 score -0.00Study 3, practice 1; PC1 score -1.50Study 3, practice 3; PC1 score -1.00Study 3, practice 5; PC1 score -0.50Study 3, practice 7; PC1 score -0.00Study 3, practice 9; PC1 score 0.50Study 5, practice 1; PC1 score -1.00Study 5, practice 3; PC1 score -0.50Study 5, practice 5; PC1 score 0.00Study 5, practice 7; PC1 score 0.50Study 5, practice 9; PC1 score 1.00Study 7, practice 1; PC1 score -0.50Study 7, practice 3; PC1 score 0.00Study 7, practice 5; PC1 score 0.50Study 7, practice 7; PC1 score 1.00Study 7, practice 9; PC1 score 1.50Study 9, practice 1; PC1 score 0.00Study 9, practice 3; PC1 score 0.50Study 9, practice 5; PC1 score 1.00Study 9, practice 7; PC1 score 1.50Study 9, practice 9; PC1 score 2.00Your point: study 6, practice 7PC1 scorePC2 score
Class 0 (for reference) Class 1 (for reference)

Click anywhere on the chart to place a point and explore its result.

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