Search for: [Abstrakt = "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"]
