Analysis and Insights into the International Competitive Landscape of Race Walking——Based on Data Mining and Analysis of 748 Athletes from IAAF
Race walking is a flagship discipline of competitive sports in China and a key event in athletics for winning gold medals.To drive the high-quality development of race walking in the country and contribute to the building of a sports power,this study utilizes Python,SPSS 26.0,and Power BI software to conduct multidimensional statistical analysis and visualization of 748 athletes listed in the IAAF rankings for the first half of 2023.The findings reveal that the global race walking domain currently exhibits a competitive landscape with multiple contenders,and China is facing increasingly intense external competition.Noteworthy countries include Italy and Spain,which consistently rank high in overall performance,as well as Japan,which has abundant reserve talent and a well-established development system.Recommendations for our country include emphasizing the promotion of race walking role models to enhance public awareness,expanding talent recruitment efforts,strengthening talent development pipelines,and continuously improving training techniques while focusing on intelligence gathering and pre-competition preparation.
NETL
NSTL
万方数据
