Difference between revisions of "Visual Analysis"

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{{Definition|'''Visual analysis''' aims for supporting the verification or falsification of given hypotheses about a dataset visually. This means that users perform a directed search for information. A high degree of interactivity is required here as well. Since hypotheses are given a priori visual analysis techniques should be able to guide the users during the search process. Visual analysis techniques are often tailored to one certain analysis problem (i.e., a limited set of hypotheses).}}
 
{{Definition|'''Visual analysis''' aims for supporting the verification or falsification of given hypotheses about a dataset visually. This means that users perform a directed search for information. A high degree of interactivity is required here as well. Since hypotheses are given a priori visual analysis techniques should be able to guide the users during the search process. Visual analysis techniques are often tailored to one certain analysis problem (i.e., a limited set of hypotheses).}}
  
see also: [[Visual Exploration]], [[Visual Presentation]].
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{{Quotation|For confirmatory analysis, one or more hypotheses about the data serve as a starting point. The process can be described as a goal-oriented examination of these hypotheses. As a result, visualization either confirms these hypotheses or rejects them.|[Keim et al., 2006]}}
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see also: [[Visual Exploration]], [[Visual Presentation]], and [[Visual Analytics]].
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'''Main characteristics:'''
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* main purpose: confirm/reject hypotheses
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* user has clear question / hypothesis
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* directed
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* automatic methods
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* user is steering / controlling
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* user: confirm
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== References ==
 
== References ==
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*[Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
 
*[Tominski, 2006] Christian Tominski, Event-Based Visualization for User-Centered Visual Analysis, PhD Thesis, Institute for Computer Science, Department of Computer Science and Electrical Engineering, University of Rostock, forthcoming 2006.
 
*[Tominski, 2006] Christian Tominski, Event-Based Visualization for User-Centered Visual Analysis, PhD Thesis, Institute for Computer Science, Department of Computer Science and Electrical Engineering, University of Rostock, forthcoming 2006.
  
 
[[Category:Glossary]]
 
[[Category:Glossary]]

Latest revision as of 17:13, 2 March 2011

Visual analysis aims for supporting the verification or falsification of given hypotheses about a dataset visually. This means that users perform a directed search for information. A high degree of interactivity is required here as well. Since hypotheses are given a priori visual analysis techniques should be able to guide the users during the search process. Visual analysis techniques are often tailored to one certain analysis problem (i.e., a limited set of hypotheses).
For confirmatory analysis, one or more hypotheses about the data serve as a starting point. The process can be described as a goal-oriented examination of these hypotheses. As a result, visualization either confirms these hypotheses or rejects them.
[Keim et al., 2006]


see also: Visual Exploration, Visual Presentation, and Visual Analytics.


Main characteristics:

  • main purpose: confirm/reject hypotheses
  • user has clear question / hypothesis
  • directed
  • automatic methods
  • user is steering / controlling
  • user: confirm


References[edit]

  • [Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
  • [Tominski, 2006] Christian Tominski, Event-Based Visualization for User-Centered Visual Analysis, PhD Thesis, Institute for Computer Science, Department of Computer Science and Electrical Engineering, University of Rostock, forthcoming 2006.