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GridSet: Visualizing Individual Elements and Attributes for Analysis of Set-Typed Data.

Haeyong Chung, Santhosh Nandhakumar, Seungwon Yang

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    |December 28, 2020
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    Summary
    This summary is machine-generated.

    GridSet is a new visualization tool that helps explore complex set data. It uses glyphs and treemaps to reveal element attributes and intersections, aiding data analysis.

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    Area of Science:

    • Computer Science
    • Information Visualization
    • Data Analysis

    Background:

    • Exploring complex set-typed data presents challenges in visualizing elements, attributes, and intersections.
    • Existing visualization methods may not efficiently handle large datasets or facilitate interactive set operations.

    Purpose of the Study:

    • To introduce GridSet, a novel set visualization technique for exploring elements, attributes, intersections, and entire sets.
    • To enable efficient analysis of set-typed data through interactive macroscopic and microscopic views.

    Main Methods:

    • GridSet employs glyphs for element representation and visual encoding of attributes.
    • A grid treemap layout organizes elements within sets, highlighting intersections across multiple sets.
    • Visual links connect intersecting elements, and a drag-and-drop interface supports set operations.

    Main Results:

    • GridSet provides space-efficient overviews and detailed views of set elements and their attributes.
    • The visualization facilitates the identification of patterns and distributions related to attributes and set intersections.
    • Use cases with large datasets demonstrate GridSet's effectiveness in solving complex analysis problems.

    Conclusions:

    • GridSet offers a powerful and intuitive approach to set visualization and analysis.
    • The technique enhances the exploration of relationships within and across multiple sets.
    • GridSet supports complex analytical tasks by integrating overview and detail, as well as set operations.