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Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments
IEEE Transactions on Visualization and Computer Graphics
|January 18, 2024
Summary
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.
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.
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