PL EN


Journal
2018 | vol. 22 no. 2 | 9-19
Article title

Visualization of categorical data using extracat package in R

Content
Title variants
PL
Wizualizacja danych jakościowych z wykorzystaniem pakietu extracat programu R
Languages of publication
EN
Abstracts
EN
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.
Journal
Year
Pages
9-19
Physical description
Contributors
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-c87cde0b-80c4-45e6-b88e-0f8bc07f4e24
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