min_max: Min-max normalization

In Indicator: Composite 'Indicator' Construction and Imputation Data

Min-max normalization

Description

Min-max normalization transforms each value by subtracting its minimum and dividing by its range (maximum-minimum). The result is a new variable with a minimum of zero and a maximum of one

Usage

min_max(data)

Arguments

data	dataframe with rows = observations and columns = quantiative variables

Details

Change the value of variable to negative if it has negative polarity

Value

It returns a datafame of normalized data

References

OECD/European Union/EC-JRC (2008), Handbook on Constructing Composite Indicators: Methodology and User Guide, OECD Publishing, Paris, <https://doi.org/10.1787/9789264043466-en>

Examples

data("Education")
Normalization=min_max(Education)
print(Normalization)

Indicator documentation built on April 4, 2025, 4:35 a.m.