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Title:
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NRV: USING NESTED RINGS TO INTERACT WITH CATEGORICAL DATA |
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Author(s):
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Adriana S. Vivacqua , Ana Cristina Bicharra Garcia |
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ISBN:
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978-972-8924-59-1 |
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Editors:
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Katherine Blashki |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Interactive visualizations, information visualization |
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Type:
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Full Paper |
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First Page:
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85 |
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Last Page:
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92 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Graphic visualizations provide a useful means for individuals to analyze large sets of data. There are many types of
graphs such as line graphs, pie charts and bar graphs, focused on displaying continuous values. Additionally, a number of
interactive visualization solutions have been proposed that enable users to more fully explore data, updating the
visualization as the users alter parameters. These have also focused on continuous data domains. To date, few solutions
exist for exploring the interrelations of categorical variables, i.e., variables for which the domain can be defined as a set
of possible values. In this paper, we present the NRV, a nested ring visualization graph that improves the expressivity of
categoric variable graphs while maintaining user control to query data. Our work is in its initial stages, but we believe the
approach will improve understanding of correlations between variables when there are large differences in values. |
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