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Compares reference and target datasets to identify column-level drift using statistical distance measures.
detect_column_drift(reference, target, alpha = 0.05)
A data.frame with drift statistics per column
A data.frame representing baseline data
A data.frame representing new incoming data
Significance level for drift detection
ref <- data.frame( age = c(25, 30, 35, 40), city = c("A", "B", "A", "C") ) new <- data.frame( age = c(26, 31, 36, 41), city = c("A", "B", "C", "C") ) detect_column_drift(ref, new)
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