Computational Statistics

, Volume 16, Issue 3, pp 435–450

Data Visualization through Graph Drawing

  • George Michailidis
  • Jan de Leeuw

DOI: 10.1007/s001800100077

Cite this article as:
Michailidis, G. & de Leeuw, J. Computational Statistics (2001) 16: 435. doi:10.1007/s001800100077


In this paper the problem of visualizing categorical multivariate data sets is considered. By representing the data as the adjacency matrix of an appropriately defined bipartite graph, the problem is transformed to one of graph drawing. A general graph drawing framework is introduced, the corresponding mathematical problem defined and an algorithmic approach for solving the necessary optimization problem discussed. The new approach is illustrated through several examples.

Keywords: Multivariate categorical data, data visualization, graphs, majorization algorithms

Copyright information

© Physica-Verlag, Heidelberg 2001

Authors and Affiliations

  • George Michailidis
    • 1
  • Jan de Leeuw
    • 2
  1. 1.Department of Statistics, The University of Michigan, Ann Arbor, MI 48109-1285US
  2. 2.Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095US