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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 processes such as data imputation, splitting, standardization, and normalization, followed by data preprocessing to prepare the dataset for advanced analytical methods.”