Data transformation is an essential data preprocessing technique.
After data imputation, data transformation must be performed before statistical analysis/modelling to provide patterns that are easier to understand. It increases the efficiency of analytic processes, and enables better data-driven decisions.
Data transformation changes the format, structure, or values of the data and converts them into clean, usable data.
There are several data transformation techniques that can help structure and clean up the data.
- Data Smoothing
- Attribute Construction
- Data Aggregation
- Data Normalization
- Data Discretization
- Data Generalization