What is the primary purpose of factor analysis in data science?

  • To categorize data
  • To classify data
  • To identify underlying variables (factors)
  • To predict future outcomes
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. Its primary purpose is to identify the underlying structure and relationships within a set of variables.
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