How Visualization is Transforming Exploratory Data Analysis - KDnuggets

As humankind begins its coexistence with artificial intelligence, it's worthy to note that one of the most important methods of advanced learning, at least in the data realm, dates back more than a half-century. Exploratory Data Analysis (EDA), a term coined by renowned statistician John Tukey, is a technique for initially understanding and developing a view of a particular set of data before deep inquiry starts. In EDA, statistical techniques are used to describe the characteristics of the data in order to generate initial hypotheses. In the age of big data, when datasets routinely grow to petabytes in size, EDA is more important than ever. Most repositories of information today are simply too large, complex and diverse to explore by rote numerical analysis.