A Study on the Influencing Factors of China's Agricultural Development Based on Big Data Analysis

With the improvement of comprehensive national power and technology, China's agricultural economy has shown good development in recent years. While harvesting achievements, we should also pay attention to the existence of problems and strive to improve and solve them in various aspects such as basic research and policy formulation. In this paper, we combine visual analysis ideas to analyze and sort out the obtained agricultural data in detail, and introduce cluster analysis model and principal component analysis model for professional analysis and interpretation on this basis to explore the main influencing factors of China's agricultural development. This study aims to promote the continuous deepening of the research in this field and guide the proposal of its development and the improvement of policies.