Resumen de Exploratory Data Analysis in Quality-Improvement Projects
A prescriptive framework is provided for exploratory data analysis (EDA) in quality improvement projects. The three steps of EDA described are display of the data, identification of salient features, and interpretation of salient features. Graphical display of data, Shewhart's assignable causes, the maximum entropy principle, abduction, and explanatory coherence are part of the resulting framework. Additionally, the roles of probabilistic reasoning and automatic statistical procedures are examined.
