This article describes several exploratory data analysis (EDA) methods, which were implemented in a study on work role centrality. The purpose of the study was to find the factors that affect work role centrality of industrial workers. The article illustrates the implementation of EDA methods for revealing relationships among variables, for detecting outliers, and for drawing conclusions that are not based on the assumptions of classical formal tests. All the EDA methods described are graphical.
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