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Pie Chart01:04

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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
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Using Generative Art to Convey Past and Future Climate Transitions
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Authoring Data-Driven Chart Animations Through Direct Manipulation.

Yuancheng Shen, Yue Zhao, Yunhai Wang

    IEEE Transactions on Visualization and Computer Graphics
    |November 5, 2024
    PubMed
    Summary
    This summary is machine-generated.

    CAST+ (Canis Studio Plus) is a new tool for creating interactive chart animations using keyframes. It enhances usability and expressiveness with advanced auto-completion and direct manipulation features for visual data storytelling.

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    Area of Science:

    • Computer Graphics
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Declarative chart animation grammars, like Canis, provide a foundation for creating data-driven visualizations.
    • Interactive tools are needed to simplify the creation of complex chart animations.

    Purpose of the Study:

    • To introduce CAST+ (Canis Studio Plus), an authoring tool for interactive chart animations.
    • To enhance the expressiveness and usability of chart animation creation through direct manipulation and auto-completion.

    Main Methods:

    • Development of CAST+ based on the Canis grammar, leveraging data-enriched SVG charts.
    • Implementation of interactive keyframe manipulation for animation specification.
    • Enhancement with auto-completion algorithms for keyframes and sequences, supporting multiple visual mark types.

    Main Results:

    • CAST+ enables interactive creation of sequential or simultaneous keyframe-based chart animations.
    • The tool supports direct manipulation for refining animation parameters like duration and delay.
    • Enhanced algorithms allow for animating multiple mark types within keyframe groups, reducing interaction effort.

    Conclusions:

    • CAST+ offers an expressive and usable system for creating sophisticated chart animations.
    • The tool facilitates visual data storytelling through intuitive direct manipulation and intelligent auto-completion.
    • Future research directions include further system enhancements and exploration of its potential.