Factor Analysis is a statistical method used to identify underlying relationships between variables by reducing the number of observed variables into a smaller number of latent factors. It helps in understanding the structure of data, simplifying datasets, and is widely used in fields like psychology, finance, and social sciences to uncover hidden patterns and dimensions.
