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Visual Analysis of Multivatiate Data

Author

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  • Miroslav Plašil
  • Petr Vlach

Abstract

The article presents and investigates new possibilities of multivariate data visualization and their analytical convenience. We demonstrate elementary principles, algorithms and graphical outputs of modern visualization methods with particular focus on Bertin matrices, RADVIZ, Projection pursuit and parallel coordinates. Illustrative examples show their practical implementation into the process of multivariate data analysis, hence providing the reader with an idea of the wide range of their application.

Suggested Citation

  • Miroslav Plašil & Petr Vlach, 2007. "Visual Analysis of Multivatiate Data," Acta Oeconomica Pragensia, University of Economics, Prague, vol. 2007(1), pages 97-113.
  • Handle: RePEc:prg:jnlaop:v:2007:y:2007:i:1:id:43:p:97-113
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    More about this item

    Keywords

    multivariate data visualization; Bertin matrix; RADVIZ; Projection pursuit; parallel coordinates;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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