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Building Modern EDA Pipelines with Pingouin

Learn how to build a holistic pipeline for rigorous, statistical EDA, validating several important data properties.

SourceKDnuggetsAuthor: Iván Palomares Carrascosa
Building Modern EDA Pipelines with Pingouin
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • Pingouin bridges SciPy and pandas for unified statistical tests and data manipulation.
  • Check univariate normality with Shapiro-Wilk test and multivariate normality with Henze-Zirkler test.
  • Assess homoscedasticity via Levene's test and sphericity via Mauchly's test.
  • Detect multicollinearity using a correlation matrix with significance stars.

Highlights and analysis are generated automatically and may contain errors. Check the original source.