Normalizing Data

Intuition

Normalization typically means scaling data in such a way that it has values between 0 and 1.

Transformed Values = values – mean/maximum – minimum

Normalization in Python 3

Python 3 does not have a base way to normalize data, so importing the preprocessing library from sklearn is required as follows:

Normalization in R

The first way to standardize data in R is with base packages:

Another way is to

Normalization in SAS

Coming soon …

Normalization in SPSS

Coming soon …

??? Longer Explanation

Mathematics

X*ij = (Xij – Xi)

References

https://www.datanovia.com/en/blog/how-to-normalize-and-standardize-data-in-r-for-great-heatmap-visualization/

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html