question 437 Visualization & EDA · medium
Mark outlier rows for review
Write mark_outliers(table, column): return a new DataFrame with an extra boolean column outlier that is True for rows whose column value is outside the 1.5 × IQR fences (pandas' default quantiles; values exactly on a fence are not outliers). Rows with a missing value are not outliers. The caller's DataFrame must not change.
Function
mark_outliers(table, column)Returnsa new DataFrame: the same rows and columns plus
outlier