"基于Python的B站用户行为大数据分析系统研究"

基于Python的B站用户行为分析系统是针对互联网企业数据分析需求而开发的一款系统。随着互联网技术的不断发展，网络用户数量呈快速增长趋势，网络数据也呈指数级增长。这些海量的网络数据具有很高的商业价值，能够帮助企业更好地了解用户需求，并基于此做出经营政策决策，实现精准的定位和价值创造。 本系统通过利用Python技术，以B站的用户行为数据为数据源，采用大数据分析的方式对B站中的UP主账号进行数据可视化。在数据可视化的过程中，系统可以展示UP主最喜欢发布的视频类型、视频标签，以及UP主的粉丝数、获赞数等统计信息，呈现为柱状图等图形模式进行分析。此外，系统还能对用户观看视频的内容进行分析，包括用户喜欢的互动、分享和一键三联视频类型等。通过这些分析，系统可以展示粉丝榜、播放榜等数据的均量和总量，为企业提供数据支持，并为UP主和用户的观影行为提供有效的数据分析参考。 关键词：大数据；数据分析；B站；视频类型分析 Abstract: In recent years, with the continuous development of Internet technology, the number of network users has been growing rapidly, and the amount of network data has also grown exponentially. These vast amounts of network data can provide high commercial value for Internet companies, enabling them to better understand user needs and make business policy decisions based on those needs, achieving precise positioning and value creation for the entire enterprise. The Python-based B站用户行为分析系统 is a system developed specifically to meet the data analysis needs of Internet enterprises. By harnessing the power of Python technology and utilizing user behavior data from B站, the system employs big data analysis to visualize data related to B站 UP主 accounts. Through data visualization, this system can analyze the types of videos that UP主 prefers to release, the video tags they use, as well as statistics such as the number of fans and likes received. The analysis is presented in the form of bar graphs and other graphical formats. Furthermore, the system also conducts analysis on user preferences for interactive, shared, and one-click-generated content. By conducting this analysis, the system can display the average and total data for fan rankings and play rankings, providing data support for businesses and offering valuable insights into UP主 and user viewing behavior. Keywords: Big Data; Data Analysis; B站; Video Type Analysis.