Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines

Author

Perer, Adam ; Shneiderman, Ben

Author_Institution

Univ. of Maryland, MD

Volume

29

Issue

3

fYear

2009

Firstpage

39

Lastpage

51

Abstract

Evaluating visual-analytics systems is challenging because laboratory-based controlled experiments might not effectively represent analytical tasks. One such system, Social Action, integrates statistics and visualization in an interactive exploratory tool for social network analysis. This article describes results from long-term case studies with domain experts and extends established design goals for information visualization.

Keywords

data mining; data visualisation; social networking (online); statistics; SocialAction; data analysis; data-mining; information visualization; laboratory-based controlled experiments; statistics; visual-analytics systems; Control systems; Data analysis; Data visualization; Employment; Filters; Guidelines; Performance analysis; Social network services; Statistical analysis; Statistics; case studies; design guidelines; exploration; information visualization; insights; social network analysis; social networks; statistics; visual analytics; visualization;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/MCG.2009.44

Filename

4909117