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Design and Implementation of College Students' Physical Health Data Analysis System Based on Multiple Computing Big Data

With the promotion of testing work over the years, colleges and universities have accumulated a large number of data including students' basic information and physical fitness test results. In order to facilitate the analysis of students' physical health test data, the data mining technology is applied in it. FP growth algorithm is used to process the data of students' physical health test. Six universities are selected as the research objects. The minimum support and minimum confidence are set to find association rules. According to the association rules, this paper analyzes the students' physique, so as to formulate relevant measures to improve the physique of Chinese college students. The experimental results show that the method has a certain reference value for the design of College Students' physical health data analysis system.