Assume that we have a dataset with various features, and some of the features are categorial. And PCA dosn't work good on categorical features.

  1. How should I handle such datasets using PCA, what is general recommendation?
  2. Can we run PCA on the features which are not categorial (continuous features), are there any disadvantages for this?

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