%0 PDF %T Designing a PCA-based Collaborative Visual Analytics System. %A Jeong, Dong Hyun.; Ribarsky, William.; Chang, Remco. %D 2017-11-16T12:05:37.956-05:00 %8 2017-11-16 %I Tufts University. Tisch Library. %R http://localhost/files/v692tj547 %X In visual analytics, collaboration is viewed as a knowledge sharing process that helps people perform analytical reasoning tasks effectively. In this paper, we present a collaborative visual analytics tool, iPCA-CE, that supports interactive data analysis using principal component analysis (PCA) on a tabletop display. We define three data analysis scenarios that are addressed when designing the collaborative data analysis system. With the system, users are able to collaboratively analyze data, share ideas or knowledge, and divide their work-load. %[ 2018-10-09 %9 Text %~ Tufts Digital Library %W Institution