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Area of Science:

Computer Graphics
Human-Computer Interaction
Data Visualization

Background:

Existing chart deconstruction methods focus on visual styles, limiting reuse of complex layouts.
Rectangle-based charts, including advanced types like small multiples, are prevalent but under-supported for deconstruction.
Semantic understanding of chart components is crucial for facilitating chart reuse and adaptation.

Purpose of the Study:

To develop a method for deconstructing rectangle-based chart layouts into semantic components.
To create an interactive tool, Mystique, that aids in extracting and mapping these components for chart reuse.
To evaluate the accuracy and usability of Mystique for chart reproduction.

Main Methods:

Developed Mystique, an interactive tool using a mixed-initiative approach for chart layout deconstruction.
Implemented a wizard interface to guide users in mapping deconstructed components to their data.
Focused on extracting axes, legends, mark groups, spatial relationships, data encodings, and graphical constraints.

Main Results:

Mystique achieved over 85% accuracy in extracting axes and legends from 150 rectangle-based SVG charts.
Layout deconstruction accuracy reached 96% for the tested charts.
A chart reproduction study demonstrated that participants could easily reuse existing charts with new datasets using Mystique.

Conclusions:

Mystique effectively deconstructs rectangle-based chart layouts, enabling easier reuse of visualizations.
The tool's high accuracy in component extraction and layout deconstruction supports its practical application.
Further research is needed to address current limitations and expand Mystique's capabilities.