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Exploratory data analysis (EDA) techniques are particularly relevant to the geophysical sciences, since geophysical systems typically possess multiple correlations of a variety of parameters on widely differing time scales, often in conjunction with temporal patterns of low intensity but high importance. In this article a variety of EDA techniques (robust statistics, scatterplots, histograms, stem-and-leaf diagrams, box plots, trend analysis programs, and quantile-quantile plots) are applied to geophysical data to demonstrate the successful elucidation of information difficult or impossible to extract from the data by more formal and traditional statistical approaches.