Normalization

Variables can be characterized by the central tendency (average), volatility (standard deviation), skewness (tendency to bunch up towards one end of its range), etc. These measures help describe the variable shape or distribution. In nature, many variables have a bell-shaped or Normal (a.k.a., Gaussian) distribution. If a variable is not normally distributed, a transformation can typically be devised that will convert it to normality.