Setting the bar for set-valued attributes

Abstract

In this paper, we present an interactive visualization method for set-valued attributes that maintains the advantages of item-oriented views and interactions found in parallel multivariate visualizations such as bargrams (equal-height histograms). The challenge is to accommodate rendering of an item when it appears multiple times in set-valued attribute views while at the same time preserving value-and item-based selection, brushing, and filtering. Such techniques can help users derive particular types of insights into data based on distributions and correlations of attribute values. AVI 2010This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. ABSTRACTIn this paper, we present an interactive visualization method for set-valued attributes that maintains the advantages of item-oriented views and interactions found in parallel multivariate visualizations such as bargrams (equal-height histograms). The challenge is to accommodate renderings of an item when it appears multiple times in set-valued attribute views while at the same time preserving value-and item-based selection, brushing, and filtering. Such techniques can help users derive particular types of insights into data based on distributions and correlations of attribute values.

The State‐of‐the‐Art of Set Visualization

“…This gives an overview of how the sets overlap, however, from the perspective of the set that defines the first partitioning level. The set co-occurrence view [Wit10] uses a similar plot to support set-typed data in the bargrams interface. This interface uses additional rows to show the possible values of other attributes and the frequencies of these values.…”