:og:title: evaluate_normality() - DataSafari Official Docs
:og:description: Evaluate normality of numerical data within groups defined by a categorical variable, employing multiple statistical tests, dynamically chosen based on data suitability.
:og:image: https://www.datasafari.dev/docs/_static/thumbs/ds-branding-thumb-sub-docs-evaluator.png

.. meta::
   :description: Evaluate normality of numerical data within groups defined by a categorical variable, employing multiple statistical tests, dynamically chosen based on data suitability.
   :keywords: DataSafari, DataSafari documentation, normality tests, Shapiro-Wilk, Anderson-Darling, D'Agostino-Pearson, Lilliefors test, statistical normality, data distribution analysis, categorical grouping, consensus method, data analysis, hypothesis testing, pandas DataFrame, Python statistics, automated analysis pipelines, statistical decision making
   :author: George Dreemer
   :robots: index, follow

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evaluate_normality()
====================

.. currentmodule:: datasafari.evaluator

.. autofunction:: evaluate_normality