Information Visualization: Difference between revisions

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Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by [[exploratory data analysis|''exploration'']] rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.
Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by [[exploratory data analysis|''exploration'']] rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.
[[Image:zook_large.gif|right|thumb|250px|Information Visualization Example]][[Image:boom.gif|right|thumb|250px|Visualization of a directory structure using a botanical model]]


== Examples ==
== Examples ==
[[Image:zook_large.gif|right|thumb|250px|Information Visualization Example]][[Image:boom.gif|right|thumb|250px|Visualization of a directory structure using a botanical model]]


Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.
Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.

Revision as of 19:56, 19 June 2005

Information visualization (InfoVis) produces (interactive) visual representations of abstract data to reinforce human cognition and perception; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.

Definitions

The use of computer-supported, interactive, visual representations of abstract data to amplify cognition.
[Card et al., 1998]


Overview

Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by exploration rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.

Information Visualization Example
Visualization of a directory structure using a botanical model

Examples

Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.

Some prominent examples are:

  • Economical/financial analysis
  • Representation of large hierarchies
  • Medical training/assistance
  • Engineering/Physics

References

  • [Card et al., 1998]: Card, S. and Mackinlay, J. and Shneiderman, B., Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann Publishers, 1998.
  • [Voigt, 2002]: Robert Voigt, Classification and Definition of Terms, 2002.

External links