pca-decomposition by @wu-uk
Reduce dimensionality of multivariate data using PCA with varimax rotation. Use when you have many correlated variables and need to identify underlying facto...
π Tips & Best Practices
Always standardize data before PCA
Use varimax rotation for interpretability
Check factor loadings to name components
Use Kaiser criterion or domain knowledge for n_factors
For attribution analysis, run ONE global PCA on all variables βΈ Show full description clawhub install lake-warming-attribution-pca-decompositionCopy
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