šŸ“Š PCA Visualiser (2D)

Click the canvas to add data points, or generate a random correlated cloud with the slider below. The real covariance matrix is computed from your points and diagonalised with a closed-form eigensolver to find the principal component directions and explained variance.

Click anywhere to add points, or press "Random cloud"

Random cloud

Display

Explained variance

PC1
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PC2
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Covariance matrix

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λ₁ (PC1)—
λ₂ (PC2)—
Correlation ρ—
Condition #—