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Python数据可视化的优势——以《三国演义》为例

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摘要 随着大数据时代的到来,为了快速地获取有价值的数据及发掘蕴含在数据背后的信息,研究人员对数据可视化技术进行了大量研究。通过文献分析,研究了数据可视化的发展历程,探索了常用的几种数据可视化工具,重点介绍了Python的优势。同时基于高中信息技术教材,通过实例探究,呈现了通过Python实现文本数据及数值数据可视化的优势,旨在为数据可视化提供参考。
作者 李文娟
出处 《中国教育技术装备》 2023年第19期61-65,共5页 China Educational Technology & Equipment
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  • 1侯剑华,陈悦.战略管理学前沿演进可视化研究[J].科学学研究,2007,25(A01):15-21. 被引量:136
  • 2Chen C. Searching for inteUectual turning points: Progressive knowledge domain visualization [ J ]. PNAS, 2004, 101 ( 1 ) : 5303 - 5310.
  • 3Chen C. CiteSpaee Ⅱ: Detecting and visualizing emerging trends and transient patterns in scientific literature [J]. Joournal of the American Society for Information Science and Technology, 2006, 57 (3): 359 - 377.
  • 4Chen C., Hu Z., Liu S., Tseng H. Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace [J]. Expert Opinion on Biological Therapy, 2012; 12 (5) : 593 - 608.
  • 5Pinto A.L, Barquin BAR, Gonzalez J.AM, Kauric A. Analysis of the Social Network in Serial Publications: representation in the Journal of Documentation [J]. Investigation Bibliotecologica, 2009, 23 (8): 13-32.
  • 6Morar M., Agachi P.S. Review: Important contributions in development and improvement of the heat integration techniques [J]. Computers & Chemical Engineering, 2010, 34 (48): 1171-1179.
  • 7Zhan R.Y. Wang J. Visualizing the research on pervasive and ubiquitous computing [J]. Scientometrics, 2011, 89 (3): 593-612.
  • 8Chert K.H. Guan J.C. A bibliometric investigation of research performance in emerging Nano biopharmaceuticals [J]. Journal of Informetrics, 2011, 5 (2): 233-247.
  • 9Niazi M., Hussain A. Agent - based confuting from multi - agent systems to agent - based models: a visual survey [J]. Scientometrics, 2011, 89 (2): 479-499.
  • 10Yuan X.J. Zhang X.M. Chen, CM. Avery, JM. Seeking information with an information visualization system: a study of cognitive styles [J]. Information Research, 2011, 16 (4).

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