Interquartile Range (IQR)

Purpose

This measure is used to understand the dispersion and variability of values within a dataset. The Interquartile Range (IQR) focuses on the middle portion of the data, making it a robust indicator of spread that is less sensitive to extreme values.

Business Context

The IQR measures the range within which the middle 50% of observations fall. By excluding the lowest and highest quartiles, it provides a clear view of typical variation and supports comparative analysis, outlier detection, and performance consistency assessment across business segments.

Definition

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The measure calculates the difference between the third quartile (Q3) and the first quartile (Q1) of a metric within the Agent’s filtered scope. Equivalently, the IQR is the difference between the 75th percentile (P75) and the 25th percentile (P25).

Business Formula

Interquartile Range (IQR) = 75th Percentile of the Metric − 25th Percentile of the Metric

Agent Expression

PERCENTILE_CONT(Metric, 0.75) - PERCENTILE_CONT(Metric, 0.25)