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

Page: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/principal-components-analysis-in-typescript-part-4-turning-pca-into-interpretable-factor-analysis
Text version: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/principal-components-analysis-in-typescript-part-4-turning-pca-into-interpretable-factor-analysis.md
Podcast: [Data Science Tech Brief By HackerNoon](https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564)
Published: 2026-05-30T16:00:30+00:00
Episode link: https://share.transistor.fm/s/7b0138d6
Audio file: https://media.transistor.fm/7b0138d6/7373041f.mp3
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JSON: https://stenobird.com/v1/public/podcasts/data-science-tech-brief-by-hackernoon-6367564/episodes/principal-components-analysis-in-typescript-part-4-turning-pca-into-interpretable-factor-analysis
Duration seconds: 325

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/principal-components-analysis-in-typescript-part-4-turning-pca-into-interpretable-factor-analysis . Remember how PCA collapses data with 100 dimensions into a single dimension, wouldn't it be cool if this dimension were interpretable. Factor Analysis does that Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-analysis , #typescript , #principal-component-analysis , #factor-analysis , #singular-value-decomposition , #interpretable-ai , #dimensionality-reduction , #exploratory-data-analysis , and more. This story was written by: @bitanath . Learn more about this writer by checking @bitanath's about page, and for more stories, please visit hackernoon.com . 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 something like cardiac arrest or premature demise. On that cheery note, let's figure out how PCA can actually be used to label this reduced dimension.

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