The monographic collections in academic libraries have undergone a period of tremendous growth in volume,in subject diversity,and in formats during the recent several decades.Readers may find it difficult to prioritize which book(s)should be borrowed for a specific purpose.The log data of book loan record may serve as a visible indicator for the more sought-after books by the readers.This paper describes our experimental efforts in exploring various visual techniques to analyze the borrowing patterns of the monographic works in a university library setting.The visual analysis is thought to provide an effective way to extract the book usage information,which may yield new insights into a host of other related technical as well as user behavior issues.Initial experiment has demonstrated that the proposed approach as articulated in this article can actually benefit end-users as well as library collection development personnel in their endeavor of book selections with effective measure.