Data-Driven Guides: Supporting Expressive Design for Information Graphics by Nam Wook Kim, et al.
We present Data-Driven Guides, a technique for designing expressive data graphics. Instead of being confined by predefined templates or marks, designers can generate guides from data and use the guides to draw, place and measure custom shapes. We provide guides supporting three fundamental visual encoding channels: length, area, and position. When underlying data is changed, we use a deformation technique to transform custom shapes using guides as the backbone of the shapes.
CreditsNam Wook Kim/Harvard University, Eston Schweickart (Cornell, Creator of the backend deformation engine), Zhicheng Liu (Adobe, Advisor), Mira Dontcheva (Adobe, Advisor), Wilmot Li (Adobe, Advisor), Jovan Popovic (Adobe, Advisor), Hanspeter Pfister (Harvard, Advisor)