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History of the Biplot

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Modern Quantification Theory

Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior ((BQAHB,volume 8))

Abstract

Visualization techniques represent one of the main pillars in the field of exploratory data analysis. A graphical description of data is often a more preferred option than a numerical one as it is more intuitive and immediate. Boxplots, histograms, and pie charts are familiar forms of data visualization which require only a rudimentary statistical understanding to construct and interpret. However, they are applicable only to univariate data. For multivariate data sets, a biplot can be presented in a manner which can be readily understood by non-statistically minded individuals. Ancient and primitive art, like African sculpture and Picasso’s invention of Cubism, offer examples as to how natural forms or data structures/types/configurations can be reduced to purely geometrical equivalents Loach 1998. While addressing a group of architecture students at Columbia University, Le Corbusier is recorded as saying in 1961.

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Author information

Authors and Affiliations

  1. Univesity of Toronto, Toronto, ON, Canada

    Shizuhiko Nishisato

  2. School of Mathematical and Physical Science, University of Newcastle, Newcastle, NSW, Australia

    Eric J. Beh

  3. Department of Economics, University of Campania Luigi Vanvitelli, Capua, Caserta, Italy

    Rosaria Lombardo

  4. Departament of Quantitative Methods, Universidad de Murcia, Murcia, Spain

    Jose G. Clavel

Authors
  1. Shizuhiko Nishisato
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  2. Eric J. Beh
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  3. Rosaria Lombardo
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  4. Jose G. Clavel
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Correspondence to Shizuhiko Nishisato .

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Nishisato, S., Beh, E.J., Lombardo, R., Clavel, J.G. (2021). History of the Biplot. In: Modern Quantification Theory. Behaviormetrics: Quantitative Approaches to Human Behavior, vol 8. Springer, Singapore. https://doi.org/10.1007/978-981-16-2470-4_9

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