期刊
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
卷 23, 期 1, 页码 341-350出版社
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2016.2599030
关键词
Information visualization; interaction; systems; toolkits; declarative specification
资金
- SAP Stanford Graduate Fellowship
- Intel Big Data ISTC
- Moore Foundation
- DARPA XDATA
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1564049] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1562182] Funding Source: National Science Foundation
We present Vega-Lite, a high-level grammar that enables rapid specification of interactive data visualizations. Vega-Lite combines a traditional grammar of graphics, providing visual encoding rules and a composition algebra for layered and multi-view displays, with a novel grammar of interaction. Users specify interactive semantics by composing selections. In Vega-Lite, a selection is an abstraction that defines input event processing, points of interest, and a predicate function for inclusion testing. Selections parameterize visual encodings by serving as input data, defining scale extents, or by driving conditional logic. The Vega-Lite compiler automatically synthesizes requisite data flow and event handling logic, which users can override for further customization. In contrast to existing reactive specifications, Vega-Lite selections decompose an interaction design into concise, enumerable semantic units. We evaluate Vega-Lite through a range of examples, demonstrating succinct specification of both customized interaction methods and common techniques such as panning, zooming, and linked selection.
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