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Data visualization is a related subcategory of visualization dealing with [[statistical graphics]] and [[geospatial data]] (as in [[thematic map|thematic cartography]]) that is abstracted in schematic form.<ref name = "MF08">[[Michael Friendly]] (2008). [https://web.archive.org/web/20180926124138/http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf "Milestones in the history of thematic cartography, statistical graphics, and data visualization"]. Project moved to http://datavis.ca/milestones/</ref>
Information visualization concentrates on the use of computer-supported tools to explore large amount of abstract data. The term "information visualization" was originally coined by the User Interface Research Group at Xerox PARC and included [[Jock D. Mackinlay|Jock Mackinlay]].{{Citation needed|date=January 2013}} Practical application of information visualization in computer programs involves selecting, [[data transformation|transforming]], and representing abstract data in a form that facilitates human interaction for exploration and understanding. Important aspects of information visualization are dynamics of visual representation and the interactivity. Strong techniques enable the user to modify the visualization in real-time, thus affording unparalleled perception of patterns and structural relations in the abstract data in question.
=== Educational visualization ===
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