Abstract
Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of data simultaneously by conventional techniques is difficult. We propose a visualization method called “granular representation” for analyzing categorical data visually. Our approach visually represents data as a set of objects and allows intuitive analysis instead of the traditional way with tables of numbers. We developed a tool by integrating granular representation and bar charts. The effectiveness of the tool is demonstrated using real data about media consumption.
Chapter PDF
Similar content being viewed by others
References
Friendly, M.: Visualizing Categorical Data. Sas Inst. (2000)
Friendly, M.: Mosaic displays for multi-way contingency tables. American Statistical Association 89(425), 190–200 (1994)
Kolatchm, E., Weinstein, B.C.: Dynamic visualization of categorical data using treemaps (2001), http://www.cs.umd.edu/class/spring2001/cmsc838b/Project/Kolatch_Weinstein/index.html
Johnson, B., Shneiderman, B.: Treemaps: A Space-Filling Approach to the Visualization of Hierarchical Information Structures. In: Proceedings of IEEE Information Visualization 1991, pp. 275–282 (1991)
Schonlau, M.: Visualizing Categorical Data Arising in the Health Sciences Using Hammock Plots. In: Proceedings of the Section on Statistical Graphics, American Statistical Association (2003)
Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Pub., San Francisco (1999)
Yi, J.S., Ponder, R.M., Stasko, J., Jacko, J.: Dust & Magnet: multivariate information visualization using a magnet metaphor. Information Visualization 4, 239–256 (2005)
Johansson, S., Jern, M., Johansson, J.: Interactive Quantification of Categorical Variables in Mixed Data Sets. In: Proceedings of IEEE International Conference on Information Visualization (IV 2008), pp. 3–10 (2008)
Rosario, G.E., Rundensteiner, E.A., Brown, D.C., Ward, M.O., Huang, S.: Mapping nominal values to numbers for effective visualization. In: Proceedings of the IEEE Symposium on Information Visualization 2003 (INFOVIS 2003), pp. 80–95 (2003)
Biennial Media Consumption 2006, Pew Research Center Data Archive (2006), http://people-press.org/dataarchive/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shiraishi, K., Misue, K., Tanaka, J. (2009). A Tool for Analyzing Categorical Data Visually with Granular Representation. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Information and Interaction. Human Interface 2009. Lecture Notes in Computer Science, vol 5618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02559-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-02559-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02558-7
Online ISBN: 978-3-642-02559-4
eBook Packages: Computer ScienceComputer Science (R0)