Aspects of decision support for the exploratory analysis of univariate data

In recent years, exploratory data analysis (EDA) became an important topic in addition to descriptive and inferential statistics. In EDA some of the traditional methods are seen on the basis of a new working and thinking approach combined with flexibility and an absence of models. Because of the ad-hoc character of the applied methods, the integration of computer science and the cyclical iteraction with a batch, it seems to be necessary to integrate elements of decision support systems in the implementation of EDA methods. Conversely EDA methods can represent an important part of statistical inference within a decision support system. For the description of the basic concepts, selected methods of EDA for univariate data may be sufficient.