TY - JOUR T1 - Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines JF - IEEE Computer Graphics and Applications Y1 - 2009 A1 - Perer,A. A1 - Shneiderman, Ben KW - case studies KW - Control systems KW - Data analysis KW - data mining KW - data visualisation KW - Data visualization KW - data-mining KW - design guidelines KW - Employment KW - exploration KW - Filters KW - Guidelines KW - Information Visualization KW - insights KW - laboratory-based controlled experiments KW - Performance analysis KW - social network analysis KW - Social network services KW - social networking (online) KW - social networks KW - SocialAction KW - statistical analysis KW - Statistics KW - visual analytics KW - visual-analytics systems KW - Visualization AB - 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. VL - 29 SN - 0272-1716 CP - 3 M3 - 10.1109/MCG.2009.44 ER - TY - CONF T1 - Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis T2 - Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems Y1 - 2008 A1 - Perer,Adam A1 - Shneiderman, Ben KW - case studies KW - Evaluation KW - exploratory data analysis KW - Information Visualization KW - social networks KW - Statistics AB - 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. JA - Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems T3 - CHI '08 PB - ACM CY - New York, NY, USA SN - 978-1-60558-011-1 UR - http://doi.acm.org/10.1145/1357054.1357101 M3 - 10.1145/1357054.1357101 ER - TY - CONF T1 - Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces T2 - Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries Y1 - 2006 A1 - Plaisant, Catherine A1 - Rose,James A1 - Yu,Bei A1 - Auvil,Loretta A1 - Kirschenbaum,Matthew G. A1 - Smith,Martha Nell A1 - Clement,Tanya A1 - Lord,Greg KW - case studies KW - humanities KW - literary criticism KW - text mining KW - user interface KW - Visualization AB - This paper describes a system to support humanities scholars in their interpretation of literary work. It presents a user interface and web architecture that integrates text mining, a graphical user interface and visualization, while attempting to remain easy to use by non specialists. Users can interactively read and rate documents found in a digital libraries collection, prepare training sets, review results of classification algorithms and explore possible indicators and explanations. Initial evaluation steps suggest that there is a rationale for "provocational" text mining in literary interpretation. JA - Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries T3 - JCDL '06 PB - ACM CY - New York, NY, USA SN - 1-59593-354-9 UR - http://doi.acm.org/10.1145/1141753.1141781 M3 - 10.1145/1141753.1141781 ER -