Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization

Satyanarayan, Arvind; Russell, Ryan P.; Hoffswell, Jane; Heer, Jeffrey

doi:10.1109/tvcg.2015.2467091

Cited by 250 publications

(189 citation statements)

References 29 publications

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“…D3 [BOH11] and Vega [SRHH16]) are capable of expressing pan/zoom interactions on small data. However, because of their general‐purpose nature, the specification is often verbose, involving tens or hundreds lines of imperative event handling [BOH11] or event‐driven functional reactive programming code [SRHH16]. Vega‐lite [SMWH17] offers much simpler primitives to specify pan and zoom, but at the cost of low customizability.…”

Section: Related Workmentioning

confidence: 99%

Kyrix: Interactive Pan/Zoom Visualizations at Scale

Tao

Liu

Wang

et al. 2019

Computer Graphics Forum

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Pan and zoom are basic yet powerful interaction techniques for exploring large datasets. However, existing zoomable UI toolkits such as Pad++ and ZVTM do not provide the backend database support and data‐driven primitives that are necessary for creating large‐scale visualizations. This limitation in existing general‐purpose toolkits has led to many purpose‐built solutions (e.g. Google Maps and ForeCache) that address the issue of scalability but cannot be easily extended to support visualizations beyond their intended data types and usage scenarios. In this paper, we introduce Kyrix to ease the process of creating general and large‐scale web‐based pan/zoom visualizations. Kyrix is an integrated system that provides the developer with a concise and expressive declarative language along with a backend support for performance optimization of large‐scale data. To evaluate the scalability of Kyrix, we conducted a set of benchmarked experiments and show that Kyrix can support high interactivity (with an average latency of 100 ms or below) on pan/zoom visualizations of 100 million data points. We further demonstrate the accessibility of Kyrix through an observational study with 8 developers. Results indicate that developers can quickly learn Kyrix's underlying declarative model to create scalable pan/zoom visualizations. Finally, we provide a gallery of visualizations and show that Kyrix is expressive and flexible in that it can support the developer in creating a wide range of customized visualizations across different application domains and data types.

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Section: Related Workmentioning

confidence: 99%

Kyrix: Interactive Pan/Zoom Visualizations at Scale

Tao

Liu

Wang

et al. 2019

Computer Graphics Forum

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“…Voyager [15] is a great tool for visual analysis inspired by exploratory search which is designed using AngularJS framework with HTML's flex display. The tool seems to have an edge because of the importance it gives to data variation instead of design variation.…”

Section: Related Workmentioning

confidence: 99%

“…Vega is a visualization grammar for creating interactive visualizations [15]. In future releases we plan to add support for Vega in DataScope.…”

Section: Support For Vegamentioning

confidence: 99%

DataScope: Interactive visual exploratory dashboards for large multidimensional data

Iyer

Duttaduwarah

Sharma

2018

Preprint

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Fig. 1. User interacting with a DataScope dashboard generated using breast cancer registry data from Surveillance, Epidemiology, and End Results Program (SEER). In this screenshot, the user is interested in looking at pathology images of patients with tumor sizes larger than 20 mm in diameter and with estrogen-receptor(ER-Status) positive or borderline. The user sets the corresponding filters in A and B. The image grid C shows the pathology images for this filtered cohort.Abstract-DataScope is a web-based tool for generating interactive visual dashboards on large scale multidimensional datasets. Users can use these dashboards to explore data and create cohorts for downstream analysis. We describe DataScope's architecture, design considerations and provide an overview of its system design. We highlight some of DataScope's features that were useful in the case studies using datasets from cancer registries and co-clinical trials. In benchmarks DataScope is able to perform sub-second queries on data sizes ranging from thousand to million records.

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“…A higher level modular approach for building visualization tools is represented by a recent mixed-initiative Voyager system [36, 37] that relies on a number of separately released Node.js packages in CommonJS format [29] used as building blocks, including D 3 , declarative visualization grammars Vega [31] and Vega-Lite [30], visualization recommendation engine Compass [35], and custom data utility and UI libraries.…”

Section: Background and Relatedworkmentioning

confidence: 99%

SOCRAT Platform Design

Kalinin

Palanimalai

Dinov

2017

Proceedings of the 2nd Workshop on Human-in-the-Loop Data Analytics

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The modern web is a successful platform for large scale interactive web applications, including visualizations. However, there are no established design principles for building complex visual analytics (VA) web applications that could efficiently integrate visualizations with data management, computational transformation, hypothesis testing, and knowledge discovery. This imposes a time-consuming design and development process on many researchers and developers. To address these challenges, we consider the design requirements for the development of a module-based VA system architecture, adopting existing practices of large scale web application development. We present the preliminary design and implementation of an open-source platform for Statistics Online Computational Resource Analytical Toolbox (SOCRAT). This platform defines: (1) a specification for an architecture for building VA applications with multi-level modularity, and (2) methods for optimizing module interaction, re-usage, and extension. To demonstrate how this platform can be used to integrate a number of data management, interactive visualization, and analysis tools, we implement an example application for simple VA tasks including raw data input and representation, interactive visualization and analysis.

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Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization

Cited by 250 publications

References 29 publications

Kyrix: Interactive Pan/Zoom Visualizations at Scale

Kyrix: Interactive Pan/Zoom Visualizations at Scale

DataScope: Interactive visual exploratory dashboards for large multidimensional data

SOCRAT Platform Design

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