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Library/ EDA/ Exploratory Data Analysis by Building (two projects in parallel)/ E05 · Build: Univariate Analysis — Numerical Features

subtopic

Skewness and transformations

10 min applied10 min research1 curated resources

Compare raw vs log1p vs Yeo-Johnson for the most skewed features. Concepts: Skew; log1p, square root, Box-Cox, Yeo-Johnson; when transforms matter Project A: log1p(credit_amount): skew 1.82 → 0.16. Transforms help logistic regression and k-means; trees do not need them. Project B: Usually no transform needed for load; wind speed and rain are right-skewed (log1p).

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Skewness and transformations · 1x1labs.ai