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Visualization of Categorical Data Using Extracat Package in R

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  • Brzezińska Justyna

    (University of Economics in Katowice, Katowice, Poland)

Abstract

Visualization in research process plays a crucial role. There are several advanced plots for visualizing categorical data, such as mosaic, association, double-decker, sieve or fourfold plot that are based on the graphical presentation of residuals in a contingency table. In this paper we present new methods for visualizing categorical data such as rmb, fluctile and scpcp plot available in extracat package in R. This package provides a well-structured representation of categorical data and allows for a detailed presentation of the relationship between categories in terms of proportions. We describe rmb, fluctile and cpcp. Those plots are based on the concept of multiple bar charts, a fluctuation diagram from a multidimensional table and parallel coordinates respectively. Such plots are mostly used for a visualization of a contingency table or a data frame; they can also be used for exploratory analysis and allows for a graphical presentation even for a high number of variables [Pilhöfer, Unwin 2013]. All the calculations and plots are obtained using R software.

Suggested Citation

  • Brzezińska Justyna, 2018. "Visualization of Categorical Data Using Extracat Package in R," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 9-19, June.
    • Handle: RePEc:vrs:eaiada:v:22:y:2018:i:2:p:9-19:n:1
    DOI: 10.15611/eada.2018.2.01
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    References listed on IDEAS

    as
    1. Pilhöfer, Alexander & Unwin, Antony, 2013. "New Approaches in Visualization of Categorical Data: R Package extracat," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i07).
    2. Meyer, David & Zeileis, Achim & Hornik, Kurt, 2006. "The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i03).
    3. Unwin, Antony & Volinsky, Chris & Winkler, Sylvia, 2003. "Parallel coordinates for exploratory modelling analysis," Computational Statistics & Data Analysis, Elsevier, vol. 43(4), pages 553-564, August.
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    More about this item

    Keywords

    categorical data; cpcp plot; rmb plot; fluctile plot; R software;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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