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About Visual Analytics

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With this post I would like to start introducing the research term Visual Analytics:

Visual Analytics (VA) is “is the science of analytical reasoning facilitated by interactive visual interfaces and appropriate visualization techniques” according to [1].

Prof. Kosara defines the term in his lecture “Visual Analytics” as “the combination of information visualization with other data analysis techniques to combine the best of both worlds” [2].

Visual analytics research areas:

  • The science of analytical reasoning
  • Visual representations and interaction techniques
  • Data representations and transformations
  • Production, presentation, and dissemination.

The VA Mantra [3]:

  1. Analyze,
  2. Show the important,
  3. Zoom,
  4. Filter and analyze,
  5. Show details on demand.


[1] James J. Thomas and Kristin A. Cook. A visual analytics agenda. IEEE Comput.Graph. Appl., January 2006.

[2] Department of Computer Science, College of Computing and Informatics, University of North Carolina at Charlotte.

[3] Daniel A. Keim, Florian Mansmann, and Jim Thomas. 2010. Visual analytics: how much visualization and how much analytics?. SIGKDD Explor. Newsl. 11, 2 (May 2010), 5-8.

See also: InfoVis Wiki on VA

Some Future Question for me:

What are implications for information visualization and interaction design in reasoning? How to visualize data of information systems for supporting its usage and analysis to generate knowledge and insights? What are the use cases and existing projects that combine semi-automatic data analysis methods with users abilities? Many more…

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