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I have a question about the functioning of PCA. I have a dataset with only 2 categorical attributes out of 9. Is it good to calculate pca between those two? Does it help me understanding anything special? here's my dataset

thanks

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  • $\begingroup$ What do you mean by PCA between those two? PCA is a way to understand the structure of the data as a whole, not necessarily about inner relationships $\endgroup$ – Valentin Calomme May 8 at 11:37
  • $\begingroup$ I'm sorry, I'm still learning and I haven't clear ideas about it... But thanks for answering me :) $\endgroup$ – user96624 May 15 at 10:06
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PCA is not recommended for categorical features. There are equivalent algorithms for categorical features like CATPCA and MCA.

Decision tree for dimensionality reduction based on data types

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  • $\begingroup$ Thank you very much @Rusoiba!!! Now it's clear! $\endgroup$ – user96624 May 15 at 10:07

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