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Jan 2 in Data Science
Q: How can outlier values be treated?

1 Answer

Jan 2

Outlier values can be identified by using univariate or any other graphical analysis method. If the number of outlier values is few then they can be assessed individually but for a large number of outliers, the values can be substituted with either the 99th or the 1st percentile values.

All extreme values are not outlier values. The most common ways to treat outlier values

1. To change the value and bring it within a range.

2. To just remove the value.

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