Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Multivariate Visualization Methods

  • Antony Unwin
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_241

Synonyms

Graphical displays of many variables

Definition

Multivariate datasets contain much information. One- and two-dimensional displays can reveal some of this, but complex pieces of information need more sophisticated displays that visualize several dimensions of the data simultaneously. Usually several displays are needed.

Historical Background

Graphical displays have been used for presenting and analysing data for many years. Playfair [10] produced some fine work over 200 years ago. Minard prepared what Tufte has called “the finest graphic ever drawn” in the middle of the nineteenth century, showing Napoleon’s advance on and retreat from Moscow, including information on the size of the army and the temperature at the time. Neugebaur introduced many innovative ideas in the 1920s and 1930s. Most of these graphics are primarily one- or two-dimensional. Techniques for displaying higher dimensional data have mainly been suggested more recently.

Foundations

There are two quite...

This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    Becker R, Cleveland W, Shyu MJ. The visual design and control of trellis display. J Comput Graph Stat. 1996;5(2):123–55.Google Scholar
  2. 2.
    Chen CH, Haerdle W, Unwin A. Handbook of data visualization. Berlin: Springer; 2007.Google Scholar
  3. 3.
    Cook D, Swayne D. Interactive and dynamic graphics for data analysis. New York: Springer; 2007.zbMATHCrossRefGoogle Scholar
  4. 4.
    Cox M, Cox M. Multidimensional scaling. London: Chapman and Hall; 2001.zbMATHGoogle Scholar
  5. 5.
    Gabriel K. The biplot – graphic display of matrices with application to principal component analysis. Biometrika. 1971;58(3):453–67.MathSciNetzbMATHCrossRefGoogle Scholar
  6. 6.
    Gower J, Hand D. Biplots. London: Chapman & Hall; 1996.zbMATHGoogle Scholar
  7. 7.
    Hartigan JA, Kleiner B. Mosaics for contingency tables. In: Proceedings of the 13th Symposium on the Interface; 1981. p. 268–73.CrossRefGoogle Scholar
  8. 8.
    Inselberg A. Parallel coordinates. New York: Springer; 2008.zbMATHGoogle Scholar
  9. 9.
    Kumasaka N, Shibata R. High dimesional data visualisation: the textile plot. Comput Stat Data Anal. 2008;52(7):3616–44.zbMATHCrossRefGoogle Scholar
  10. 10.
    Playfair W. Playfair’s commercial and political atlas and statistical breviary. London: Cambridge University Press; 2005.Google Scholar
  11. 11.
    Theus M, Urbanek S. Interactive graphics for data analysis. London: CRC Press; 2008.Google Scholar
  12. 12.
    Unwin AR, Theus M, Hofmann H. Graphics of large datasets. New York: Springer; 2006.zbMATHCrossRefGoogle Scholar
  13. 13.
    Wilkinson L. The grammar of graphics. 2nd ed. New York: Springer; 2005.zbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Augsburg UniversityAugsburgGermany

Section editors and affiliations

  • Hans Hinterberger
    • 1
  1. 1.Inst. of Scientific ComputingETH ZürichZurichSwitzerland