Question: Principal component analysis (PCA) is an exploratory data analysis that is useful for developing predictive models and for visualizing and summarizing data. Describe where PCA

  1. Principal component analysis (PCA) is an exploratory data analysis that is useful for developing predictive models and for visualizing and summarizing data. Describe where PCA is best applied as well as any potential issues surrounding its use?

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