Visual analytics | Zendy

Daniel A. Keim | Zendy; Florian Mansmann | Zendy; Jim Thomas | Zendy

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Visual analytics

Author(s) -

Daniel A. Keim,

Florian Mansmann,

Jim Thomas

Publication year - 2010

Publication title -

acm sigkdd explorations newsletter

Language(s) - English

Resource type - Journals

eISSN - 1931-0153

pISSN - 1931-0145

DOI - 10.1145/1809400.1809403

Subject(s) - visual analytics , computer science , cultural analytics , analytics , interactive visual analysis , data science , scope (computer science) , software analytics , visualization , analytic reasoning , human–computer interaction , visual reasoning , semantic analytics , artificial intelligence , world wide web , the internet , deductive reasoning , software , software construction , web modeling , software system , programming language

The term Visual Analytics has been around for almost five years by now, but still there are on-going discussions about what it actually is and in particular what is new about it. The core of our view on Visual Analytics is the new enabling and accessible analytic reasoning interactions supported by the combination of automated and visual analysis. In this paper, we outline the scope of Visual Analytics using two problem and three methodological classes in order to workout the need for and purpose of Visual Analytics. By examples of analytic reasoning interaction, the respective advan- tages and disadvantages of automated and visual analysis methods are explained leading to a glimpse into the future of how Visual Analytics methods will enable us to go beyond what is possible when separately using the two methods.

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