Contingency Wheel: Visual Analysis of Large Contingency Tables

dc.contributor.authorAlsallakh, Bilalen_US
dc.contributor.authorGroeller, Eduarden_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.authorSuntinger, Martinen_US
dc.contributor.editorSilvia Miksch and Giuseppe Santuccien_US
dc.date.accessioned2014-01-27T15:55:57Z
dc.date.available2014-01-27T15:55:57Z
dc.date.issued2011en_US
dc.description.abstractWe present the Contingency Wheel, a visual method for finding and analyzing associations in a large nxm contingency table with m less than 100 and n being two to three orders of magnitude larger than m. The method is demonstrated on a large table from the Book-Crossing dataset, which counts the number of ratings each book received from each country. It enables finding books that received a disproportionately high number of ratings from a specific country. It further allows to visually analyze what these books have in common, and with which countries they are also highly associated. Pairs of similar countries can further be identified (in the sense that many books are associated with both countries). Compared with existing visual methods, our approach enables analyzing and gaining insight into larger tables.en_US
dc.description.seriesinformationEuroVA 2011: International Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905673-82-1en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVA11/053-056en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors: categorical data analysis, visual representations and interaction techniques.en_US
dc.titleContingency Wheel: Visual Analysis of Large Contingency Tablesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
053-056.pdf
Size:
677.2 KB
Format:
Adobe Portable Document Format
Collections