Use np.linalg.eigh (or SVD) to get principal components, project to 2-D, plot coloured by segment; check with sklearn PCA.
Concepts: Maths: eigenvectors as directions of most variance, explained variance ratio. NumPy: np.linalg.eigh, svd. sklearn: PCA
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