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// Hacker Noon · 29 May 2026

Principal Components Analysis in TypeScript (Part 4): Turning PCA Into Interpretable Factor Analysis

Now remember how PCA collapses data with 100 dimensions into a single dimension, wouldn't it be cool if this dimension was interpretable. For example, let's say the 100 columns were like stress, smoking frequency, alcohol ml etc etc.. you see where I am going with this, the final dimension would be...

Hacker Noon
@hacker-noon · Chonkozoid
hackernoon.com
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Hacker Noon@hacker-noon

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