Data transformation is a key step for transforming the data ecosystem set to be analyzed and to make it more suitable for subsequent analytical processing using predictive modelling, for example, classification, regression, clustering, or association rule mining.
Data transformation comprises data imputation, data splitting, and transformations through standardization and normalization. Then data pre-processing is the next step to follow. Functions for data transformation