The Development Path of Guilin Gongcheng Camellia oleifera Based on SEM Data Processing and Analysis

Abstract

In order to thoroughly investigate the development status of Gongcheng Camellia oleifera, study the development path, this paper uses SPSS software, KMO test and Bartlett spherical test were carried out on the data, and it was found that there was correlation between the variables, and factor analysis was effective. Then, Amos software is used to model it, and the structural equation model diagram is obtained; Realize the visualization of survey data with the help of software fine Bi; Finally, deeply excavate and use the data to explore the factors that affect the marketing and promotion of Gongcheng Camellia oleifera, and put forward feasible solutions to improve the sales volume of Gongcheng Camellia oleifera, promote industrial poverty alleviation, and help rural revitalization.