基于主成分分析与因子分析的我国城镇居民消费结构研究

his article selects 8 consumption indicators of urban residents in China and uses R software to study the consumption structure of urban residents in 31 regions of China in 2018. Through principal component analysis, three principal components that affect the consumption structure of urban residents in China are extracted. According to the ranking of principal component scores, 31 regions in China are divided into three types of consumer groups. The KMO test results indicate that the variables are suitable for factor analysis. The factor analysis selects three public factors, calculates the factor scores, and ranks them. The results show that the regional differences in the consumption structure of urban residents in China are obvious.