The IQR of a set of values is calculated as the difference between the upper and lower quartiles, Q3 and Q1. Each quartile is a median calculated as follows : Given an even 2n or odd 2n+1 number of ...

Learn what the IQR method is, how it works, and how to apply it in Python. Find out the advantages and disadvantages of using the IQR method for outlier removal.

This notebook utilizes the following key Python libraries and techniques: Data Manipulation with pandas: Creating, structuring, and manipulating datasets using Pandas DataFrames.; Numerical Operations ...

Aprende qué es el método IQR, cómo funciona y cómo aplicarlo en Python. Averigüe las ventajas y desventajas de utilizar el método IQR para la eliminación de valores atípicos.

Quartiles and interquartile range Box-and-whisker plots The interquartile range is another measure of spread, except that it has the added advantage of not being affected by large outlying values.