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m Deleted the description of the entirety of data visualization as the creation of "easy-to-communicate and easy-to-understand" visuals. There are many highly effective data visualizations that require instruction, context, or other factors; this does not exclude them from the field. |
m Added photography to the list of fields that data visualization emerged from. E J Marey, for example. |
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[[File:Internet map 1024.jpg|thumb|240px|Partial map of the Internet early 2005 represented as a graph; each line represents two [[IP addresses]], and some delay between those two nodes.]]
The field of data and information visualization has emerged "from research in [[human–computer interaction]], [[computer science]], [[graphics]], [[visual design]], [[psychology]], [[photography]] and [[business methods]]. It is increasingly applied as a critical component in scientific research, [[digital libraries]], [[data mining]], financial data analysis, market studies, manufacturing [[production control]], and [[drug discovery]]".<ref name = "BBB03">Benjamin B. Bederson and [[Ben Shneiderman]] (2003). [http://www.cs.umd.edu/hcil/pubs/books/craft.shtml ''The Craft of Information Visualization: Readings and Reflections''], Morgan Kaufmann {{ISBN|1-55860-915-6}}.</ref>
Data and information visualization presumes that "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. Information visualization focused on the creation of approaches for conveying abstract information in intuitive ways."<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>
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