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Demystifying Visual Analytics
March/April 2009 (vol. 29 no. 2)
pp. 84-87
Christian Chabot, Tableau Software
Christian Chabot addresses the common misperceptions and stereotypes about visual analytics as the practice begins moving into widespread use. People typically associate visual analytics with four principles, all of which are false: the practice requires massive data, it's used to understand only complex problems, it requires the invention of new visual paradigms, and it focuses on finding hidden insights. Chabot explains why these principles are incorrect and why the visual analytics community would help the world at large by espousing its virtues.

1. J.J. Thomas and K.A. Cook, Illuminating the Path, IEEE CS Press, 2005.

Index Terms:
visual analytics, visual analysis, data visualization, analytical databases, data warehouses, business intelligence, information visualization
Citation:
Christian Chabot, "Demystifying Visual Analytics," IEEE Computer Graphics and Applications, vol. 29, no. 2, pp. 84-87, March-April 2009, doi:10.1109/MCG.2009.23
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