Combining Details of the Chi-Square Goodness-of-Fit Test with Multivariate Data Visualization
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{:10.2312/PE/EuroVAST/EuroVAST10/045-050,
booktitle = {EuroVAST 2010: International Symposium on Visual Analytics Science and Technology},
editor = {Joern Kohlhammer and Daniel Keim},
title = {{Combining Details of the Chi-Square Goodness-of-Fit Test with Multivariate Data Visualization}},
author = {May, Thorsten and Davey, James and Kohlhammer, Jörn},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-74-6},
DOI = {/10.2312/PE/EuroVAST/EuroVAST10/045-050}
}