Descriptive Statistics

The Wolfram Language's descriptive statistics functions operate both on explicit data and on symbolic representations of statistical distributions. When operating on explicit data, the functions routinely handle huge datasets, which can contain not only numbers but also symbolic elements representing, for example, parametrized or unknown data.

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Location Measures

Mean  ▪  Median  ▪  Commonest  ▪  RootMeanSquare  ▪  TrimmedMean  ▪  HarmonicMean  ▪  GeometricMean  ▪  ContraharmonicMean

Dispersion Measures

Variance  ▪  StandardDeviation  ▪  MeanDeviation  ▪  MedianDeviation  ▪  QuartileDeviation  ▪  InterquartileRange

Shape Measures

Skewness  ▪  Kurtosis  ▪  QuartileSkewness  ▪  Entropy

Dependency Measures

Covariance  ▪  Correlation  ▪  AbsoluteCorrelation  ▪  SpearmanRho  ▪  KendallTau  ▪  HoeffdingD  ▪  GoodmanKruskalGamma  ▪  BlomqvistBeta  ▪  WilksW  ▪  PillaiTrace

General Measures

Moment  ▪  CentralMoment  ▪  FactorialMoment  ▪  Cumulant

Quantile  ▪  Quartiles  ▪  RankedMin  ▪  Expectation  ▪  Probability  ▪  BinCounts

Data Models

WeightedData  ▪  EventData  ▪  TimeSeries  ▪  EventSeries  ▪  TemporalData

Symbolic Features of Distributions

CDF  ▪  PDF  ▪  InverseCDF  ▪  CharacteristicFunction

Statistical Visualization »

Histogram  ▪  Histogram3D  ▪  QuantilePlot  ▪  BoxWhiskerChart  ▪  ...