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

• standard

data: list[openbb_core.provider.abstract.data.Data]

Time series data.

• Optional: False

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target: str

Target column name.

• Optional: False

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Returns

results: list[NormalityModel]

Serializable results.

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provider: None

Provider name.

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warnings: Optional[list[Warning_]]

list of warnings.

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chart: Optional[Chart]

Chart object.

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extra: dict[str, Any]

Extra info.

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Data

• NormalityModel

kurtosis: TestModel

skewness: TestModel

jarque_bera: TestModel

shapiro_wilk: TestModel

kolmogorov_smirnov: TestModel