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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

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