Learning Goals. Things that vary are distributed across variations. Develop the "how is it distributed?" reflex. Shapes of 1 dimensional distributions. Other properties of distributions. A statistic as a characterization of a distribution. Histograms as plot of a frequency distribution. Properties of histograms. Histogram as a 1.x dimensional representation. Locating a case within a distribution. Multiple dimensions and attribute spaces. Locating a case in an attribute space. Two dimensional distributions and association. Measures of strength of association. Hints of big data and high dimensional data spaces.