Question: In Principal Component Analysis ( PCA ) , how is high - dimensional data typically represented in lower dimensions while preserving the variance? Please illustrate

In Principal Component Analysis (PCA), how is high-dimensional data typically represented in
lower dimensions while preserving the variance? Please illustrate with an example

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