首页|基于大数据技术的NBA数据可视化平台的设计与实现

基于大数据技术的NBA数据可视化平台的设计与实现

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通过大数据技术分析NBA球队和球员表现的数据,探索球队表现的关键影响因素及其对比赛结果的影响.首先,利用Python爬虫技术进行数据采集,通过预处理技术确保数据质量,并将数据保存至csv文件,采用Pandas进行读写分析.然后,设计并开发数据可视化平台,以直观方式呈现数据,支持用户对数据进行探索和分析.不仅为管理层提供数据支持,优化战术布局和球员配置,也为篮球爱好者提供数据视角,推动了体育数据分析领域的理论研究和实践应用.
Design and implementation of NBA data visualization platform based on big data technology
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

吴宪传、吴泽春

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广州华商学院数据科学学院,广州 511300

大数据技术 NBA球队表现 数据可视化 NBA球员表现

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(21)