IQR
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What is IQR?
The IQR method for detecting outliers flags values that fall well below or above the interquartile range, the range between the 25th and 75th percentile of the data. It's a robust approach, less sensitive to extreme values than methods based on the mean and standard deviation. It's commonly visualized directly through a boxplot's whiskers.
More in stage 12: Strings and Dates
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 83 of 129 in the free R Programming roadmap, in stage 12, Strings and Dates. If you are new to R Programming, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.