IQR
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What is 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.
Free resources to learn IQR
More in stage 10: Exploratory Data Analysis
IQR: common questions
Can I learn IQR in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain IQR in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this IQR tutorial for beginners?
It is lesson 71 of 112 in the free Python for Data Analysis roadmap, in stage 10, Exploratory Data Analysis. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.