Abstract
This paper presents a technique for visualizing large-scale hierarchical multi-variate data, JunihitoeView. The technique is an extension of HeiankyoView, an existing technique for visualizing large-scale hierarcical data.HeiankyoView represents data items as icons, but JunihitoeView represents them by assigning various colors to represent the values of the multi-variate by their brightness.The paper also presents a level-of-detail control techniquefor JunihitoeView.The technique displays variables of a leaf node themselves,when a user zooms in the visualization result. Further, it unifies the variables and display typical values of a higher level hierarchy,when the user zooms out the visualization result.The paper discusses the usefulness of JunihitoeView with the application of the technique for the hierarchicalmulti-variate data constructed from a drug database.It also shows results of user tests of the presented techniques.
