Sports Data Visualization and Data Analysis

作     者：Sherman Hung 

作者单位：上海交通大学 

学位级别：硕士

导师姓名：高晓沨

授予年度：2019年

学科分类：0403[教育学-体育学] 12[管理学] 04[教育学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

摘      要：Big data analysis is revolutionizing professional sports,influencing everything from game strategy and player conditioning to how fans interact with the *** help understand the underlying information,data visualization techniques are widely used to display data in a straightforward manner,while data analysis is used to extract hidden patterns in *** the advent of sensor technology,basketball is now a sport with diversed data,at the same time possessing many qualities shared by other ***,this paper uses basketball as an example to demonstrate the use of data visualization and data analysis in *** present a multifaceted web-based NBA data visualization system,BasketView,that enables basketball professionals to analyze the game from four perspectives: season level,game level,event level,and region *** level view uses a novel visualization design called BandView,where a combination of bar graph and flow graph is used to visualize win-loss statistics and game statistics *** game level view,two visualizations,namely,PlayerStream and GameClock,are coupled together to reveal the changing contributions of all players during a basketball game,as well as all events that take *** complement the game level view,event level view uses a dynamic visualization called CourtChart that animates the movement of on-court players and ***,region level view uses PlayerMap to allow basketball professionals to quickly identify talents within a *** connects all four components with interactive features,providing users an easy-to-use and comprehensive toolbox to analyze basketball games.