Sorting the variable values in intervals of equal frequency

Equal-frequency discretization divides the values of the variable into intervals that carry the same proportion of observations. The interval width is determined by quantiles, and therefore different intervals may have different widths. In summary, equal-frequency discretization using quantiles consists of dividing the continuous variable into N quantiles, with N to be defined by the user. This discretization technique is particularly useful for skewed variables as it spreads the observations over the different bins equally. In this recipe, we will perform equal-frequency discretization using pandas, scikit-learn, and Feature-engine.

How to do it...

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