Deviant Data or Target Group?

If we see data cleaning as a process of detecting, diagnosing and editing data abnormalities, then we have to use every tool available in order to find those cases. The traditional and simple approach is process data and check out each variable, looking for subjects whit a significant distance in relation to the central points of the distribution. These values have to be confirmed, and, in the worst case, deleted.

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