An Extended Scatterplot Matrix and Case Studies in Information Visualization. Published as Diplomarbeitby: Robert Voigt
(October 2002)
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AbstractOften data is collected to find new useful information. One way to extract information out of data is information visualization. It utilizes the power of the human visual system to find for example patterns in the data. Many techniques for information visualization have been developed, for example scatterplots and parallel coordinates. These two basic techniques are used in three computer programs that were developed at the VRVis research center in Vienna, Austria. One of them is an extended scatterplot matrix. It has some new features that improve effectiveness with large datasets and categorical data. Another program uses scatterplots in three dimensions, and the third extends the concept of parallel coordinates with a number of advanced interaction techniques. These programs are used to perform realistic visualization scenarios with datasets from economy and engineering. It is shown that information visualization can successfully be used to explore and analyze datasets and for presentation purposes.
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