A brief intro to exploratory analysis In a recent paper, a pair of statisticians took a stab at outlining “the most important statistical ideas of the past 50 years.” Among them: “counterfactual causal inference, bootstrapping and simulation-based inference, overparameterized models and regularization, multilevel models, generic computation algorithms, adaptive decision analysis, robust inference, and exploratory data … Continued