Factor analysis refers to the statistical technique of extracting gender factors from variable groups. It was first put forward by the British psychologist C.E. Spearman. He found that there is a certain correlation between students' grades in various subjects, and students who get good grades in one subject tend to get better grades in other subjects, thus inferring whether there are some potential factors, or whether some general intelligence situation affects students' academic performance. Factor analysis can find implicit and representative factors among many variables. Classifying variables with the same nature into one factor can reduce the number of variables and test the hypothesis of the relationship between variables.