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Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments.

Connor Scully-Allison, Ian Lumsden, Katy Williams

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    Summary
    This summary is machine-generated.

    Embedding interactive visualization in computational notebooks enhances data exploration by combining direct manipulation and scripting. This approach supports complex queries and free-form analysis for Big Data challenges.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Interactive visualization aids exploration but is often task-limited.
    • Scripting offers broad query capabilities but can be cumbersome for free-form exploration.

    Purpose of the Study:

    • Investigate interactive visualization design within scripting environments like computational notebooks.
    • Combine strengths of direct manipulation and scripting for enhanced data analysis.

    Main Methods:

    • Conducted a design study using calling context trees for performance analysis.
    • Performed a formal task analysis to assign tasks to graphical or scripting contexts.
    • Designed and validated a notebook-embedded interactive visualization with users.

    Main Results:

    • Users supported the proposed interaction model for notebook-embedded visualization.
    • Identified consensus on combining graphical and scripting interaction modes.
    • Gathered observations on design implications for integrated visualization and scripting.

    Conclusions:

    • Embedding interactive visualization in notebooks offers a powerful paradigm for Big Data exploration.
    • The study provides design methodology and strategies for integrating visualization and scripting.
    • This approach addresses challenges in exploratory data analysis with complex, ill-defined problems.