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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Detecting outliers

Outliers in data can distort predictions and affect the accuracy, if you don't detect and handle them appropriately, especially in the data preprocessing stage.

So, identifying the extreme values is important, as it can drastically introduce bias in the analytic pipeline and affect predictions. In this recipe, we will discuss the ways to detect outliers and how to handle them.

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