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.

Example:

from openbb import obb
stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp")
obb.quantitative.normality(data=stock_data, target="close")

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Parameters

• Standard

Name	Type	Description	Default	Optional
data	List[Data]	Time series data.	None	False
target	str	Target column name.	None	False

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Returns

Normality tests summary. See qa_models.NormalityModel for details.

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