Visualization of Categorical Data Using Extracat Package in R

Brzezińska Justyna ()
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Brzezińska Justyna: University of Economics in Katowice, Katowice, Poland

Econometrics. Advances in Applied Data Analysis, 2018, vol. 22, issue 2, 9-19

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.

Keywords: categorical data; cpcp plot; rmb plot; fluctile plot; R software (search for similar items in EconPapers)
JEL-codes: C30 C31 C4 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/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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