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    This study introduces a component model for data visualization, promoting tool unification and modularity. VISTRATES, a platform, enables collaborative development and sharing of visualization components for versatile analytical tasks.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Current data visualization tools are often task-specific, leading to fragmented analytical workflows.
    • A need exists for integrated and flexible visualization solutions that support diverse analytical needs.

    Purpose of the Study:

    • To present a component model for data visualization that enhances analytical scope through modularity and unification.
    • To introduce VISTRATES, a platform for developing, assembling, and sharing visualization components.

    Main Methods:

    • Developed a component model for data visualization promoting modularity and unification.
    • Introduced VISTRATES, a literate computing platform featuring a component repository.
    • Designed VISTRATES to support collaboration, multi-device sharing, and adaptive usage based on expertise.

    Main Results:

    • The component model facilitates the assembly of components for a wide range of tasks, unifying fragmented workflows.
    • VISTRATES provides cross-cutting components for visualization, interaction, collaboration, and device responsiveness.
    • The platform supports collaborative programming for composing component pipelines, catering to both novices and experts.

    Conclusions:

    • The proposed component model and VISTRATES platform enhance data visualization by promoting modularity, unification, and collaboration.
    • VISTRATES enables ubiquitous analysis across various devices and settings, supporting diverse analytical activities.
    • The system supports adaptive usage, from simple configuration to advanced custom component development.