Work

Interactive Dynamics for Visual Analysis: A taxonomy of tools that support the fluent and flexible use of visualizations

Year: 2012

Type: article

Abstract: The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.

Source: Queue

DOI: 10.1145/2133416.2146416

Authors: Jeffrey Heer, Ben Shneiderman

Institutions: Stanford University, University of Maryland, College Park

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, National Cancer Institute

Awards: HCC: Small: Graphical Perception Revisited: Developing and Validating Design Guidelines for Data Visualization, TLS: Science & Technology Innovation Concept Knowledge-base (STICK): Monitoring, Understanding, and Advancing the (R)Evolution of Science & Technology Innovations, Interactive Exploration of Temporal Patterns in Electronic Health Records, SoCS: Supporting A Nation of Neighbors with Community Analysis Visualization Environment, DC: Medium: Collaborative Research: Data Intensive Computing: Scalable, Social Data Analysis