Why are these methods important? You need to develop a set of tools in your repertoire to understand data as you go through this process. These types of techniques encompass the basis of you will adjust and/or balance data with extreme outliers. Only in the cleanest of datasets will you not need to employ one of these basic techniques or even a more advanced technique.

These three methods are the most common methods to work with anomalous data and we're going to talk about the practical use of these techniques.