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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