Vega-Lite: A Grammar of Interactive Graphics

Satyanarayan, Arvind; Moritz, Dominik; Wongsuphasawat, Kanit; Heer, Jeffrey

doi:10.1109/tvcg.2016.2599030

Cited by 673 publications

(531 citation statements)

References 25 publications

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“…Beyond notebooks, several toolkits exist for quickly creating visualizations for exploratory data analysis [SWH14, SMWH17a, MNV16, YEB18]. However, these systems generally do not provide support for insight management during EDA.…”

Section: Introductionmentioning

confidence: 99%

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

Mathisen

Horak

Klokmose

et al. 2019

Computer Graphics Forum

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Analyzing complex data is a non‐linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data‐driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data‐driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web‐based InsideInsights system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.

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Section: Introductionmentioning

confidence: 99%

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

Mathisen

Horak

Klokmose

et al. 2019

Computer Graphics Forum

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“…A flourishing body of research grew out of the notion that visualization was a critical aspect of making and communicating discoveries during EDA [PS08]. This includes (static) statistical visualization libraries (such as ggplot [WC∗08], plotly [SPH∗16], and matplotlib [Hun07]), visualization libraries (such as D3 [BOH11], Voyager [SMWH17], InfoVis toolkit [Fek04]), commercial visualization systems (such as Tableau [tab], spotfire [spo], Power BI [pow]), and other visualization software designed for specific types of data or domain applications (for some examples, see surveys such as [DOL03,HBO∗10]).…”

Section: Related Workmentioning

confidence: 99%

A User‐based Visual Analytics Workflow for Exploratory Model Analysis

Cashman

Humayoun

Heimerl

et al. 2019

Computer Graphics Forum

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Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an accurate predictive model for future use. In that case, users are more interested in generating of diverse and robust predictive models, verifying their performance on holdout data, and selecting the most suitable model for their usage scenario. In this paper, we consider the concept of Exploratory Model Analysis (EMA), which is defined as the process of discovering and selecting relevant models that can be used to make predictions on a data source. We delineate the differences between EMA and the well‐known term exploratory data analysis in terms of the desired outcome of the analytic process: insights into the data or a set of deployable models. The contributions of this work are a visual analytics system workflow for EMA, a user study, and two use cases validating the effectiveness of the workflow. We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.

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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%

“…Use case: the developer should be able to easily include and use a third-party dependency inside of VA application, for instance, vega-lite visualization grammar [30]. …”

Section: Visual Analytics System Designmentioning

confidence: 99%

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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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Vega-Lite: A Grammar of Interactive Graphics

Cited by 673 publications

References 25 publications

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

InsideInsights: Integrating Data‐Driven Reporting in Collaborative Visual Analytics

A User‐based Visual Analytics Workflow for Exploratory Model Analysis

SOCRAT Platform Design

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