Brown, Richard M. (1986, ASQC) Chrysler Corporation, Detroit, MI
EDA (Exploratory Data Analysis) is a set of tools designed for examining data in a pictorial way and gleaning the essential facts. These tools are part of descriptive statistics used to help Quality Professionals display data in a more usable, easily understood manner. The many EDA tools available deal with summaries, visualization, re-expression, comparison, smoothing and analysis of data. EDA becomes more useful as the role of the Quality Professional gets pushed farther up stream in the product development cycle. I am going to demonstrate two visual tools that present data in an information-laden manner for communicating facts. These tools, based on the work of John Tukey and others, are useful when presenting data which needs all detail maintained, outliers are of importance and normality is a question. The two tools are stem-and-leaf and box-and-whisker diagrams.