Tableau 2019.x Cookbook
by Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov
How it works...
In this recipe, we learned how to detect outliers. Outliers are extreme values that stand out from the other values in the sample. In order to detect outliers, we relied on a commonly used conventional rule—outliers are all values that deviate from the mean more than +/-2.5 standard deviations, which excludes around 1% of our sample.
In this example, we are able to see how outliers can influence statistical models. We can see that the model that includes outliers has a much steeper slope than the model that excludes outliers, meaning that they have pulled our linear model away from the majority of data, giving us skewed results. When interpreting results, we have to pay special attention to this (so-called leverage) effect. ...
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