Use the aa.outlierfilter() function to filter outliers from a data set, either deleting them or replacing them with a specified value. Optionally, the function stores the outliers in their own table. The methods that the function provides for filtering outliers are percentile, Tukey’s method, Carling’s modification, and median absolute deviation. The input data set is expected to have as many as millions of attribute-value pairs.