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In this article, we review two, intertwined tools in the data mining arsenal: correlation and scatter plots.  These tools are fundamental for gauging the relationship (if any) between pairs of data elements (say, the age and income of your customers).  As we’ll soon see, there are good, bad, and ugly things that can happen when we apply a purely computational method like correlation.  My goal is to help you avoid the usual pitfalls, so  you can use correlation and scatter plots effectively in your own work.  Read the article

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