Data Normalization Techniques in R | CodeSignal Learn

Data Normalization Techniques in R | CodeSignal Learn

Now, let's put theory into practice. Consider the Height dataset of some Space Explorers:

df <- data.frame(
    "Space Explorer" = c('Spock', 'Kirk', 'McCoy', 'Scotty'),
    "Height" = c(183, 178, 170, 178)
)

To normalize using Min-Max in R, here's the corresponding code, implementing the described formula:

df$Height <- (df$Height - min(df$Height)) / (max(df$Height) - min(df$Height))
print(df$Height)
# After normalization, df$Height is [1.00 0.615 0.00 0.615]

For Z-Score there is an implemented function, called scale:

df$Height <- scale(df$Height)
print(df$Height)
# After normalization, df$Height is [1.07 0.139 -1.35 0.139]