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  4. Combining details of the chi-square goodness-of-fit test with multivariate data visualization
 
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2010
Conference Paper
Title

Combining details of the chi-square goodness-of-fit test with multivariate data visualization

Abstract
In this work, we combine KVMaps, a visualization technique presented in [May07] for the visualization of statistical aggregations in multivariate contingency tables, with the measures used for the statistical Chi-Square goodness-of-fit test. Goodness-of-fit tests are used to check whether a given distribution of values matches an expected distribution. A single test statistic is calculated to represent the deviation of the complete dataset. By visualizing the deviations for all entries in the contingency table, it is possible to identify the patterns in the distribution of data items, which contribute most to the overall deviation of the dataset. We present two use cases to illustrate how the information about the patterns can be used.
Author(s)
May, Thorsten  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Davey, James
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
EuroVAST 2010, First International Symposium on Visual Analytics Science and Technology  
Conference
International Symposium on Visual Analytics Science and Technology (EuroVAST) 2010  
Symposium on Visualization (EuroVis) 2010  
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • visual analytic

  • statistic

  • multidimensional data visualization

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