Voyager 2

Wongsuphasawat, Kanit; Qu, Zening; Moritz, Dominik; Chang, Riley; Ouk, Felix; Anand, Anushka; Mackinlay, Jock D.; Howe, Bill; Heer, Jeffrey

doi:10.1145/3025453.3025768

Cited by 216 publications

(60 citation statements)

References 27 publications

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“…While traditional systems rely on carefully designed rules and defaults, more recent systems like Voyager's CompassQL [65][66][67] use hand-tuned scores to specify fine-grained criteria such as space efficiency and legibility based on encoding and data properties. Draco is most similar to CompassQL and its weighted preferences.…”

Section: Automated Visualization Designmentioning

confidence: 99%

Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco

Moritz

Wang

Nelson

et al. 2019

IEEE Trans. Visual. Comput. Graphics

Self Cite

235

203

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There exists a gap between visualization design guidelines and their application in visualization tools. While empirical studies can provide design guidance, we lack a formal framework for representing design knowledge, integrating results across studies, and applying this knowledge in automated design tools that promote effective encodings and facilitate visual exploration. We propose modeling visualization design knowledge as a collection of constraints, in conjunction with a method to learn weights for soft constraints from experimental data. Using constraints, we can take theoretical design knowledge and express it in a concrete, extensible, and testable form: the resulting models can recommend visualization designs and can easily be augmented with additional constraints or updated weights. We implement our approach in Draco, a constraint-based system based on Answer Set Programming (ASP). We demonstrate how to construct increasingly sophisticated automated visualization design systems, including systems based on weights learned directly from the results of graphical perception experiments.

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Section: Automated Visualization Designmentioning

confidence: 99%

Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco

Moritz

Wang

Nelson

et al. 2019

IEEE Trans. Visual. Comput. Graphics

Self Cite

235

203

View full text Add to dashboard Cite

show abstract

“…This is leveraged by JupyterLab, which provides built-in rendering of these files. Third, the JSON data provides a clean integration point for non-programming based visualization user-interfaces such as Voyager (Wongsuphasawat et al, 2016(Wongsuphasawat et al, , 2017.…”

Section: Discussionmentioning

confidence: 99%

Altair: Interactive Statistical Visualizations for Python

Vanderplas¹,

Granger²,

Heer³

et al. 2018

JOSS

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189

112

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“…Templates abstract over arbitrary JSON-based visualization grammars-our implementation currently supports Vega, Vega-Lite, Atom [62], and a toy data table language-allowing users to easily move between them (G3). We implemented an Ivy template that recreates the functionality of the shelf builder system Polestar [97,98], that serves as the default view of the system, facilitating explorability (G2). Our user interface design is described in Sec.…”

Section: Vega-lite Specificationmentioning

confidence: 99%

Integrated Visualization Editing via Parameterized Declarative Templates

McNutt

Chugh

2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Interfaces for creating visualizations typically embrace one of several common forms. Textual specifcation enables fne-grained control, shelf building facilitates rapid exploration, while chart choosing promotes immediacy and simplicity. Ideally these approaches could be unifed to integrate the user-and usage-dependent benefts found in each modality, yet these forms remain distinct.We propose parameterized declarative templates, a simple abstraction mechanism over JSON-based visualization grammars, as a foundation for multimodal visualization editors. We demonstrate how templates can facilitate organization and reuse by factoring the more than 160 charts that constitute Vega-Lite's example gallery into approximately 40 templates. We exemplify the pliability of abstracting over charting grammars by implementing-as a template-the functionality of the shelf builder Polestar (a simulacra of Tableau) and a set of templates that emulate the Google Sheets chart chooser. We show how templates support multimodal visualization editing by implementing a prototype and evaluating it through an approachability study. CCS CONCEPTS• Human-centered computing → Visualization systems and tools; Graphical user interfaces.

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Voyager 2

Cited by 216 publications

References 27 publications

Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco

Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco

Altair: Interactive Statistical Visualizations for Python

Integrated Visualization Editing via Parameterized Declarative Templates

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