Panoramic view for visual analysis of large-scale activity data

Abstract

Understanding the activities in large-scale organizations such as big companies is very important. A challenge in the information visualization field is how to combine a representation of the global structure of an organization with representations of each activity. We developed a representation technique to provide a panoramic view of such activities. The representation embeds charts expressing activities into cells of a treemap. By using this representation, both quantitative and temporal aspects of activities can be seen simultaneously. We also developed an analysis tool called "Series at a Glance," which provides functions to manipulate the representation. The tool helps in the analysis of tens of thousands of activities by providing useful visual information. © 2013 Springer-Verlag Berlin Heidelberg.