Feature Labels about pca

[N8python]

How did you solve this? I'm experiencing a similar problem.

[Afbcary]

@N8python

I think when I wrote this I was fundamentally misunderstanding how PCA works. The variance values relate to new composite features that are combinations of the original features.

I found this article illuminating: https://blog.exploratory.io/an-introduction-to-principal-component-analysis-pca-with-2018-world-soccer-players-data-810d84a14eab

In that article, he ascribes meaning to the newly created components by graphing each data point in the original dimensions as well as the new composite dimensions.