Setting the bar for set-valued attributes

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 2010 This 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 t...

• Type: Conference
• Year: 2010
• Where: AVI
• Authors: Kent Wittenburg
• Keywords: AVI 2010, Electric Research Laboratories, Mitsubishi Electric Research, Set-valued Attribute, Software Engineering