Integrating Statistics and Visualization: Case Studies of Gaining Clarity During Exploratory Data Analysis
Ben Shneiderman
Published at
ACM Conference on Human Factors in Computing Systems
| Florence, Italy
2008
Abstract
Although both statistical methods and visualizations have been used by network
analysts, exploratory data analysis remains a challenge. We propose that a tight
integration of these technologies in an interactive exploratory tool could
dramatically speed insight development. To test the power of this integrated
approach, we created a novel social network analysis tool, SocialAction, and
conducted four long-term case studies with domain experts, each working on
unique data sets with unique problems. The structured replicated case studies
show that the integrated approach in SocialAction led to significant discoveries
by a political analyst, a bibliometrician, a healthcare consultant, and a
counter-terrorism researcher. Our contributions demonstrate that the tight
integration of statistics and visualizations improves exploratory data analysis,
and that our evaluation methodology for long-term case studies captures the
research strategies of data analysts.