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Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation
Keim, Daniel; Hao, Ming C.; Ladisch, Julian; Hsu, Meichun; Dayal, Umeshwar
Keyword(s): pixel; bar chart; web transactions; visualization
Abstract: Simple presentation graphics are intuitive and easy- to-use, but show only highly aggregated data and present only a very limited number of data values (as in the case of bar charts), and may have a high degree of overlap which may occlude a significant portion of the data values (as in the case of the x-y plots). In this paper, we therefore propose a generalization of traditional bar charts and x-y-plots which allows the visualization of large amounts of data. The basic idea is to use the pixels within the bars to present the detailed information of the data records. Our so- called pixel bar charts retain the intuitiveness of traditional bar charts while allowing very large data sets to be visualized in an effective way. We show that, for an effective pixel placement, we have to solve complex optimization problems, and present an algorithm which efficiently solves the problem. Our application using real-world e-commerce data shows the wide applicability and usefulness of our new idea.
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