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Activity Number: 457
Type: Topic Contributed
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract - #306574
Title: Upscaling Statistical Graphics
Author(s): Martin Theus*+
Companies: University of Augsburg
Address: Universitätsstr. 14, Augsburg, 86135, Germany
Keywords: large data ; statistical graphics ; interaction ; alpha blending ; data mining ; visualization
Abstract:

This talk investigates what influence the size of a dataset has on standard statistical graphics. Area plots---like bar charts, histograms, and mosaic plots---are relatively invariant against the increasing size of a dataset. Point plots, all plots that plot a glyph for each observation, have to cope with the problem of overplotting and an increasing number of extreme outliers. The definitions of other plots (e.g., boxplots) are examined to see if they still seem to be appropriate when datasets get large. Problems, solutions, and modifications are presented, which are based on either more interactivity or on advanced plotting techniques.


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