Basic Statistical Descriptions of Data ■ Motivation To better understand the data: central tendency, variation and spread Data dispersion characteristics median, max, min, quantiles, outliers, variance, eto a Numerical dimensions correspond to sorted intervals Data dispersion analyzed with multiple granularities of precision a Boxplot or quantile analysis on sorted intervals a dispersion analysis on computed measures a Folding measures into numerical dimensions a Boxplot or quantile analysis on the transformed cube 1111 Basic Statistical Descriptions of Data ◼ Motivation ◼ To better understand the data: central tendency, variation and spread ◼ Data dispersion characteristics ◼ median, max, min, quantiles, outliers, variance, etc. ◼ Numerical dimensions correspond to sorted intervals ◼ Data dispersion: analyzed with multiple granularities of precision ◼ Boxplot or quantile analysis on sorted intervals ◼ Dispersion analysis on computed measures ◼ Folding measures into numerical dimensions ◼ Boxplot or quantile analysis on the transformed cube