Consumption level of rural residents in China and its influencing factors based on big data analysis

Under the background of the implementation of the rural revitalization strategy, China's rural economy has developed rapidly and farmers' incomes has grown steadily. Meanwhile, factors like the popularization of online shopping have provided rural residents with more consumption choices, leading to a stable rise in their consumption level. This paper analyzes the consumption situation of rural residents in China by applying the multivariate linear regression model and analyzes the potential factors affecting the consumption level of rural residents. In terms of research methods, this paper first visually presents the relevant statistical analysis indicators of the rural consumption level, depicting the current situation and development trends of agriculture and rural areas in China. Then, it assesses the importance of the collected influencing factors using the random forest method. Subsequently, it identifies relatively crucial influencing factors for regression analysis. Eventually, through the integration of the outcomes of visualization and regression analysis, this study provides some theoretical underpinnings and decision - making references for the promotion of the rural revitalization strategy.