The Research and Analysis of Student Health Status on the Basis of Physic Fitness Test’ Data

In recent ten years, the serious problem of Chinese college students’ physical health shows a downward trend, which has aroused great concern from all walks of life. Aiming at this problem, this paper studies the physical test scores and health status of students from Grade 15 to Grade 18 at Guangxi University of Chinese Medicine. Firstly, the data are cleaned and sorted, and the indicators of Guangxi University of Chinese Medicine college students’ physical test are analyzed descriptively by using matplotlib package in python software. Then, correlation analysis and cluster analysis are carried out on each index of the physical test, which can be divided into two clusters. Then using Apriori algorithm for comprehensive comparative analysis, taking each index of physical fitness test as the antecedent and "total score = pass" as the consequent, the first six strong association rules are found out, and it is concluded that there are differences in several conditions of male and female students’ test indicators under the condition of "total score = pass". The indexes of speed, endurance and flexibility have great influence on college students’ physical fitness, while the BMI and vital capacity are not important factors affecting their physical fitness. By analyzing the results, we can strengthen the weak links in school education and promote the adjustment and reform of physical education in Guangxi University of Chinese Medicine (GXTCMU).