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Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations
IEEE Transactions on Visualization and Computer Graphics
|September 22, 2015
Summary
Voyager, a mixed-initiative system, aids data exploration by automatically generating visualizations. This approach facilitates discovering new data insights and increases variable coverage compared to manual methods.
Area of Science:
- Computer Science
- Human-Computer Interaction
- Data Visualization
Background:
- Traditional data visualization tools necessitate manual specification of views, requiring domain and design expertise.
- This manual process can be tedious, hindering efficient data exploration and insight discovery.
Purpose of the Study:
- To introduce Voyager, a mixed-initiative system designed to complement manual chart construction.
- To enable interactive navigation of automatically generated visualization recommendations.
Main Methods:
- Developed Voyager, a system featuring faceted browsing of recommended charts.
- Utilized statistical and perceptual measures for chart recommendation generation.
- Compared Voyager against a manual visualization specification tool in a user study.
Main Results:
- Voyager facilitates the exploration of previously unseen data.
- The system leads to increased data variable coverage during analysis.
- Users experienced a more efficient and comprehensive data exploration process.
Conclusions:
- Mixed-initiative systems like Voyager can significantly enhance data exploration capabilities.
- Balancing rapid exploration with targeted question-answering is crucial for effective visualization tools.
- Automated visualization recommendation systems offer a promising avenue for improving data analysis workflows.
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