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Web-based statistical graphics using XML technologies. (English) Zbl 1140.68331

Chen, Chun-houh (ed.) et al., Handbook of data visualization. Berlin: Springer (ISBN 978-3-540-33036-3/hbk). Springer Handbooks of Computational Statistics, 757-789 (2008).
Summary: Most statistical graphics on the Web are static, noninteractive and undynamic, even though other statistical analysis systems usually provide various interactive statistical graphics. Interactive and dynamic graphics can be implemented using Internet technologies such as Java or Flash (Adobe, 2007). Scalable Vector Graphics and Extensible 3D (X3D) offer alternative means of realizing an XML-based graphics format. One advantage of using XML is that data from a wide range of research topics are easy to deal with, because they are all presented in the XML format. Another advantage is that XML is a text-based graphics format, i.e., it is scriptable, meaning that it can be generated dynamically by a statistical analysis system or web application.
For the entire collection see [Zbl 1187.68001].

MSC:

68M10 Network design and communication in computer systems
62-07 Data analysis (statistics) (MSC2010)
68U10 Computing methodologies for image processing

Software:

R; StatDataML
PDFBibTeX XMLCite