By using big data technology to analyze the performance data of NBA teams and players,explore the key influenc-ing factors of team performance and their impact on game results.Firstly,using Python web scraping technology for data collection,ensuring data quality through preprocessing techniques,and saving the data to a CSV file for read and write analysis using Pandas.Then,design and develop a data visualization platform to present the data in an intuitive way,supporting users to explore and ana-lyze the data.Not only does it provide data support for management,optimize tactical layout and player configuration,but it also provides a data perspective for basketball enthusiasts,promoting theoretical research and practical application in the field of sports data analysis.
big data technologyNBA team performancedata visualizationNBA player performance
万方数据
