Exploratory data analysis (EDA) plays an increasingly important role in statistical analysis. EDA is di cult, however, even with the help of modern statistical software. We have developed an assistant for data exploration, based on AI planning techniques, that addresses some of the strategic shortcomings of conventional software. This paper illustrates the behavior of the system, gives a high level description of its design, and discusses its experimental evaluation. Keywords Arti cial intelligence, planning, data exploration
Robert St. Amant, Paul R. Cohen