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A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling.

Fritz Lekschas, Xinyi Zhou, Wei Chen

    IEEE Transactions on Visualization and Computer Graphics
    |October 7, 2020
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    Summary
    This summary is machine-generated.

    This study introduces PILlNG.JS, a library for interactive piling interfaces that efficiently organize and compare numerous small multiples. This framework aids data analysis across various scientific fields.

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    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Scientific Informatics

    Background:

    • Small multiples are widely used visual representations across diverse domains.
    • Managing large datasets of small multiples presents significant challenges for analysis, comparison, and navigation.
    • Existing methods often lack efficient solutions for interactive exploration of numerous small multiples.

    Purpose of the Study:

    • To develop a framework and library (PILlNG.JS) for creating interactive piling interfaces.
    • To address challenges in organizing, exploring, and comparing large numbers of small multiples.
    • To provide a structured design space for visual piling interfaces.

    Main Methods:

    • Developed a framework and implemented the PILlNG.JS library for interactive piling interfaces.
    • Utilized a piling metaphor for aggregating visual objects into interactive piles.
    • Created a declarative interface within PILlNG.JS to simplify interface development.
    • Incorporated a graphical user interface (GUI) for dynamic configuration.

    Main Results:

    • PILlNG.JS enables flexible organization, exploration, and comparison of large numbers of small multiples.
    • The library offers a structured design space based on systematic analysis of prior work.
    • PILlNG.JS facilitates efficient creation of interactive piling interfaces with reduced coding.
    • Demonstrated expressiveness across machine learning, microscopy, genomics, and public health.

    Conclusions:

    • PILlNG.JS provides an effective solution for managing and analyzing large collections of small multiples.
    • The framework supports diverse analytical tasks, enhancing data exploration and comparison.
    • PILlNG.JS empowers designers to build custom interactive visualization tools efficiently.