W. Freiler, K. Matkovic, H. Hauser:
"Interactive Visual Analysis of Set-Typed Data";
IEEE Transactions on Visualization and Computer Graphics,
While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous, multivariate datasets, most existing techniques still focus on the most usual data types such as numerical attributes or strings. In this paper we present a new approach to the interactive visual exploration and analysis of data that contains attributes which are of set type. A set-typed attribute of a data item - like one cell in a table - has a list of n ¸ 0 elements as a value. We present the set´o´gram as a visualization approach to represent data of set type and to enable interactive visual analysis. We also demonstrate how this approach is capable to help in dealing with datasets that have truly many dimensions (more than a dozen or more), especially in the context of categorical data. To illustrate the effectiveness of our approach, we present the interactive visual analysis of a CRM dataset with data from a questionnaire on the education and shopping habits of about 90000 people.
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.