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Updated: Dec 30, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction.

Dietrich Kammer, Mandy Keck, Thomas Grunder

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    Summary

    Glyphboard is a new visualization tool designed to help data scientists and domain experts collaborate. It integrates dimensionality reduction and glyph-based visualizations for better understanding of complex, high-dimensional data.

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    Area of Science:

    • Data Science
    • Information Visualization
    • Human-Computer Interaction

    Background:

    • Data science requires interdisciplinary collaboration between data scientists and domain experts.
    • Understanding high-dimensional data necessitates effective communication and visualization tools.

    Purpose of the Study:

    • To introduce Glyphboard, a novel visualization tool designed to facilitate dialogue between data scientists and domain experts.
    • To present an integrated approach combining dimensionality reduction and glyph-based visualizations.

    Main Methods:

    • Development of an open-source prototype of Glyphboard.
    • Creation of a general exchange format for high-dimensional data.
    • Conducting a case study with nine data scientists and domain experts across four domains.

    Main Results:

    • Glyphboard integrates zoomable user interface, dimensionality reduction, and glyph-based visualizations.
    • Dimensionality reduction provides a quick data overview, while glyphs highlight key dimensions.
    • Evaluation of user interaction with Glyphboard's features by experts.

    Conclusions:

    • Glyphboard offers a seamless and integrated solution for visualizing and exploring high-dimensional data.
    • The tool supports the crucial dialogue between data scientists and domain experts.
    • The open-source prototype and case study provide a foundation for further research and application.