DocumentCode :
1364726
Title :
Stacking Graphic Elements to Avoid Over-Plotting
Author :
Dang, Tuan Nhon ; Wilkinson, Leland ; Anand, A.
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Chicago, Chicago, IL, USA
Volume :
16
Issue :
6
fYear :
2010
Firstpage :
1044
Lastpage :
1052
Abstract :
An ongoing challenge for information visualization is how to deal with over-plotting forced by ties or the relatively limited visual field of display devices. A popular solution is to represent local data density with area (bubble plots, treemaps), color(heatmaps), or aggregation (histograms, kernel densities, pixel displays). All of these methods have at least one of three deficiencies:1) magnitude judgments are biased because area and color have convex downward perceptual functions, 2) area, hue, and brightnesshave relatively restricted ranges of perceptual intensity compared to length representations, and/or 3) it is difficult to brush or link toindividual cases when viewing aggregations. In this paper, we introduce a new technique for visualizing and interacting with datasets that preserves density information by stacking overlapping cases. The overlapping data can be points or lines or other geometric elements, depending on the type of plot. We show real-dataset applications of this stacking paradigm and compare them to other techniques that deal with over-plotting in high-dimensional displays.
Keywords :
data visualisation; bubble plots; graphic element; heatmaps; histogram; information visualization; kernel densities; local data density; over-plotting; pixel display; treemaps; Data visualization; Diseases; Histograms; Kernel; Stacking; Three dimensional displays; Density-based visualization; Multidimensional data; Parallel coordinate plots; dot plots;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2010.197
Filename :
5613442
Link To Document :
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