Article(id=1242138045856686621, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138028983005327, articleNumber=null, orderNo=7, doi=10.3981/j.issn.1000-7857.2020.03.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1573401600000, receivedDateStr=2019-11-11, revisedDate=1578412800000, revisedDateStr=2020-01-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1585714926537, onlineDateStr=2020-04-01, pubDate=1581523200000, pubDateStr=2020-02-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1585714926537, onlineIssueDateStr=2020-04-01, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078387937, creator=sys-migrate, updateTime=1774078387937, updator=sys-migrate, issue=Issue{id=1242138028983005327, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='3', pageStart='1', pageEnd='216', issueExtLink='null', onlineDate='null', pubDate='1581523200000', pubDateStr='2020-02-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078383914, creator='sys-migrate', updateTime=1774078383914, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=68, endPage=83, ext={EN=ArticleExt(id=1242138057995006193, articleId=1242138045856686621, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Big data visualization technology and applications, columnId=1242138034179747997, journalTitle=Science & Technology Review, columnName=Exclusive: Big data strategy, runingTitle=null, highlight=null, articleAbstract=With the growth of data generated by human activities, the scale, the type and the demands for the data visualization have expanded greatly. In the big data era, the data visualization faces many challenges. In this paper, based on the characteristics and the requirements of the big data, and the current research states of the data visualization, the common data visualization techniques are reviewed. Eight important challenges that the data visualization has to deal with in the big data applications are highlighted. The AutoVis, a data-aware interactive visualization design platform, is specially discussed, as well as its applications., authors=SHEN Enya, authorsList=SHEN Enya, authorCompany=School of Software, Tsinghua University;National Engineering Laboratory of Big Data System Software, Beijing 100084, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=Hq9RD5ja014dVOmvGGInVg==, pdfFileSize=9660325, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138055851716844, articleId=1242138045856686621, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=大数据可视化技术及应用, columnId=1242138033248612506, journalTitle=科技导报, columnName=专题：大数据战略, runingTitle=null, highlight=null, articleAbstract=随着人类产生数据量的增加，数据可视化需要处理的数据规模、类型及需求都发生了显著变化。在大数据时代，数据可视化面临诸多新的挑战。从大数据本身的特点及其应用需求出发，结合数据可视化的研究现状，介绍了适用于大数据的数据可视化技术；分析在大数据条件下数据可视化所要解决的8个关键问题；讨论了针对大数据可视化应用需求自主研发的交互式可视化设计平台AutoVis及其应用。, authors=沈恩亚, authorsList=沈恩亚, authorCompany=清华大学软件学院;大数据系统软件国家工程实验室, 北京 100084, correspAuthors=null, authorNote=沈恩亚,博士,研究方向为大数据、数据可视化、可视分析及人机交互,电子信箱:shenenya@mails.tsinghua.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=GJ2Obxghd2nCNdCTO9PhLg==, pdfFileSize=9660325, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=北京市科技计划项目（Z111100067311053）；国家重点研发计划项目（2016YFB0501504）；国家自然科学基金项目（U1509213）)}, authors=null, keywords=[Keyword(id=1242138055482618088, 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