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Quartile Deviation measures the distribution of values in a dataset. It is used to measure a dataset’s variability and discover outliers. It is computed by finding the difference between the third and first quartile and dividing the result by the interquartile range.
Enhancing Sales Strategy with MARKEE on Databricks
February 6, 2026
