Designing a PCA based Collaborative Visual Analytics System
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.