developer-roadmap/roadmaps/python-data-analysis/content/iqr@ucEFYVtXIvuYKjudK3pwB.md

IQR

The Interquartile Range (IQR) is the difference between the 75th percentile (Q3) and 25th percentile (Q1) of a dataset. Outliers are commonly defined as values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR. The IQR method is robust to extreme values and is the basis for the box plot's whiskers.

Visit the following resources to learn more:

• @article@Using Pandas IQR: 3 Essential Steps
• @article@How to detect outliers using IQR and Boxplots?
• @video@Outlier detection and removal using IQR