In
statistics,
data transformation is the application of a deterministic mathematical
function to each point in a
data set — that is, each data point
zi is replaced with the transformed value
yi =
f(
zi), where
f is a function. Transforms are usually applied so that the data appear to more closely meet the assumptions of a
statistical inference procedure that is to be applied, or to improve the interpretability or appearance of
graphs.