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Sagot :
Binning is the process of transforming numerical variables into categorical variables by grouping the numerical values into a small number of groups.
A method of organising several more or less continuous numerical variables into fewer "bins" is called binning. If you have information about a group of people, for instance, you might wish to divide their ages into fewer age ranges.
The purpose of data binning, also known as data discrete binning or data bucketing, is to lessen the impact of small observational mistakes. A value indicative of that interval, sometimes a centre value, is used in place of the original data values that fall inside a specific tiny interval, or bin.
Binning reduces the number of different values by grouping similar values together in bins.
To learn more about numerical variables, refer
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