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normality

Get Normality Statistics.

  • Kurtosis: whether the kurtosis of a sample differs from the normal distribution.
  • Skewness: whether the skewness of a sample differs from the normal distribution.
  • Jarque-Bera: whether the sample data has the skewness and kurtosis matching a normal distribution.
  • Shapiro-Wilk: whether a random sample comes from a normal distribution.
  • Kolmogorov-Smirnov: whether two underlying one-dimensional probability distributions differ.

Parameters​

data: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
target: str

Returns​

results: NormalityModel

Serializable results.

provider: str

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

Data​

kurtosis: TestModel
skewness: TestModel
jarque_bera: TestModel
shapiro_wilk: TestModel
kolmogorov_smirnov: TestModel

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