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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01bn9999065
Title: Beyond3D: Visualizing High-Dimensional Data Sets
Authors: Durst, David
Advisors: Braverman, Mark
Contributors: Maass, Sebastian
Wu, Alex
Department: Computer Science
Class Year: 2015
Abstract: I present Beyond3D, a system that explains high-dimensional data sets to non-technical users with domain-specific knowledge through intuitive, interactive visualizations. Beyond3D surpasses current systems which fail to handle large numbers of dimensions, like matrices of scatterplots and histograms, or require technical training, such as PCA. A combination of user testing and a case study demonstrates Beyond3D’s effectiveness. In the user study, non-technical test subjects with significant financial knowledge used the tool to answer questions about a financial data set. The case study demonstrates how a non-technical investor could use Beyond3D to decrease losses during market crashes.
Extent: 69 pages
URI: http://arks.princeton.edu/ark:/88435/dsp01bn9999065
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Computer Science, 1988-2020

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