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Scientific visualization
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=== Information visualization === [[Information visualization]] is the study of "the [[Visual system|visual]] [[Representation (arts)|representation]] of large-scale collections of non-numerical information, such as files and lines of code in [[software system]]s, [[library]] and bibliographic [[database]]s, networks of relations on the [[internet]], and so forth".<ref name="MF08"/> Information visualization focused on the creation of approaches for conveying abstract information in intuitive ways. Visual representations and interaction techniques take advantage of the human eye's broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of information at once.<ref>James J. Thomas and Kristin A. Cook (Ed.) (2005). [http://nvac.pnl.gov/agenda.stm ''Illuminating the Path: The R&D Agenda for Visual Analytics''] {{webarchive|url=https://web.archive.org/web/20080929155753/http://nvac.pnl.gov/agenda.stm |date=2008-09-29 }}. National Visualization and Analytics Center. p.30</ref> The key difference between scientific visualization and information visualization is that information visualization is often applied to data that is not generated by scientific inquiry. Some examples are graphical representations of data for business, government, news and social media.
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