Re-scaling seems to have become a fashionable technique. The methods have propped up to deal with several types of data. Moreover,it is applied without much of context. Should we use it for only interval and continuous data or score ? and what purpose does it serve exactly ?

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    $\begingroup$ it is not necessary for all types of data nor applicable. Re-scaling simply adjusts the dynamic range of data to better fit some model requirements and/or make the data comparable to other data in a similar scale $\endgroup$ – Nikos M. Feb 25 at 9:45

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