Data preprocessing 

This tutorial shows how to preprocess data prior to the analysis. The purpose of the preprocessing is to prepare a dataset for analysis and make it easer to detect signals and patterns. Typical preprocessing steps include prefiltering of variables with a large percentage of very low, very high or missing values as well as log transformation.