Visualization: Difference between revisions

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Interesting data set! Could you write more on how collected the data on all their deals? Scraping Groupon's sites and punillg out each deal's 1)title, 2)city, 3) price, 4)number of people who bought it, and 5)whether it tipped? Did you also collect the deals that didn't tip?
{{Definition|A graphical representation of data or concepts, which is either an internal construct of the mind or an external artifact supporting decision making.}}
 
{{Quotation|Both [[Scientific Visualization|scientific visualization]] and [[Information Visualization|information visualization]] create graphical models and visual representations from data that support direct user interaction for exploring and acquiring insight into useful information embedded in the underlying data.|[Ferreira and Levkowitz, 2003]}}
 
see also: [[Information Visualization]], [[Scientific Visualization]]
 
== References ==
* [Ferreira and Levkowitz, 2003] Maria Cristina Ferreira de Oliveira, Haim Levkowitz, [http://doi.ieeecomputersociety.org/10.1109/TVCG.2003.1207445 From Visual Data Exploration to Visual Data Mining: A Survey], IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 378-394, July-September, 2003.
* [Ware, 2000] C. Ware, [[Ware, C.: Information Visualization - Perception for Design, Morgan Kaufmann, 2004|Information Visualization: Perception for Design]]. San Francisco: Morgan Kaufmann (Academic Press), p. 1, 2000.
* [Tory and Möller, 2004] Melanie Tory and Torsten Möller, Human Factors in Visualization Research, ''IEEEE Transactions on Visualization and Computer Graphics'', 10(1):72-84, January/February 2004.
 
 
[[Category:Glossary]]

Latest revision as of 16:10, 8 September 2012

A graphical representation of data or concepts, which is either an internal construct of the mind or an external artifact supporting decision making.
Both scientific visualization and information visualization create graphical models and visual representations from data that support direct user interaction for exploring and acquiring insight into useful information embedded in the underlying data.
[Ferreira and Levkowitz, 2003]


see also: Information Visualization, Scientific Visualization

References

  • [Ferreira and Levkowitz, 2003] Maria Cristina Ferreira de Oliveira, Haim Levkowitz, From Visual Data Exploration to Visual Data Mining: A Survey, IEEE Transactions on Visualization and Computer Graphics, vol. 9, no. 3, pp. 378-394, July-September, 2003.
  • [Ware, 2000] C. Ware, Information Visualization: Perception for Design. San Francisco: Morgan Kaufmann (Academic Press), p. 1, 2000.
  • [Tory and Möller, 2004] Melanie Tory and Torsten Möller, Human Factors in Visualization Research, IEEEE Transactions on Visualization and Computer Graphics, 10(1):72-84, January/February 2004.
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