Application of Big Data Analysis in the Physical Fitness Monitoring of Chinese Students

Abstract

Social and economic development has significantly improved people's living standards, but the overall physical health of Chinese students has shown a downward trend. Therefore, various departments of the country pay more and more attention to physical fitness testing, and the physical health of students has become the focus of attention of the whole society. Only by paying attention to the physical monitoring of students, can we judge the health status of students from various data and give targeted guidance. This article focuses on big data analysis and makes an in-depth exploration of the application of the Chinese student fitness monitoring system. In this paper, combined with data mining algorithms, the realization of the storage, comparison, analysis and other functions of the student's physical health data in the monitoring system is studied, and the intelligence of the monitoring system is improved through the big data analysis and processing technology, and scientific guidelines are used to promote health. Provide direction support for the development of the project. From the experimental data, the comprehensive physical test excellent rate of freshman students is 46.7%, while the excellent rate of junior students is only 27.315%. Physical exercise plays a vital role in improving the physical fitness of students. Schools should play a correct guiding role to allow students to participate in physical exercise more actively, so as to improve their comprehensive physical fitness.