Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization

By Arvind Satyanarayan, Ryan Russell, J. Hoffswell, Jeffrey Heer. IEEE Transactions on Visualization and Computer Graphics, 2016

319 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a5d560ef928d0b9f6df2710c4ce66240ed6802b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Dominik Moritz
2. Kanit Wongsuphasawat
3. Jeffrey Heer
4. Arvind Satyanarayan

In Computer Networks and Communications

1. Dominik Moritz
2. Jock D. Mackinlay
3. Jeffrey Heer
4. Kanit Wongsuphasawat

In Computer Vision and Pattern Recognition

1. Jeffrey Heer
2. Dominik Moritz
3. Bill Howe
4. Kanit Wongsuphasawat
5. Jock D. Mackinlay
6. Arvind Satyanarayan
7. Anushka Anand
8. Felix Ouk

Citations in the corpus

• Voyager 2: Augmenting Visual Analysis with Partial View Specifications (2017, methodology): “To facilitate data exploration, visual analysis grammars ( e.g., [24,34,35]) can succinctly express a variety of charts, in part by letting users omit design details required by lower-level visualization languages ( e.g., [5, 25]).”
• ECharts: A declarative framework for rapid construction of web-based visualization (2018, methodology): “, Lyra [4] is built upon the visualization grammar Vega [6]).”
• Vega-Lite: A Grammar of Interactive Graphics (2018, methodology): “The Vega-Lite compiler synthesizes a low-level Vega specifica-tion [22] with the requisite data flow, and default event handling logic that a user can override.”