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Visual Analysis of Multivatiate Data
[Grafická analýza vícerozměrných dat]

Author

Listed:
  • 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 [Grafická analýza vícerozměrných dat]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2007(1), pages 97-113.
    • Handle: RePEc:prg:jnlaop:v:2007:y:2007:i:1:id:43:p:97-113
    DOI: 10.18267/j.aop.43
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    References listed on IDEAS

    as
    1. Niermann, Stefan, 2005. "Optimizing the Ordering of Tables With Evolutionary Computation," The American Statistician, American Statistical Association, vol. 59, pages 41-46, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    multivariate data visualization; Bertin matrix; RADVIZ; Projection pursuit; parallel coordinates;
    All these keywords.

    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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