A Note on Transformation, Standardization and Normalization
K. Muralidharan · SSRN Electronic Journal · 2010
This paper discusses the importance of data cleaning and processing using various statistical techniques like Transformation (T), Standardization (S) and Normalization (N) from a practical point of view. It is possible that the unprocessed raw data at first instance will lead to poor interpretation because of the effects of systematic variations. A suitable transformation or standardization or normalization can nullify the effect of such variations. This is explained using a couple of examples from literature.