How to do feature scaling in Julia DataFrames?

How do I do feature scaling in Julia DataFrames? My current dataframe has one dimension that ranges from 6 to 39,000 and another that ranges from 0 to 15. I assumed that DataFrames would have the typical min-max scaling or standardization implemented, but I can’t find anything.

Python, for example, has SciKit-Learn with MinMaxScaler and StandardScaler. Does Julia DataFrames support feature scaling, or do I have to implement that myself?

no, why would that be in DataFrames.jl? Try this?
https://juliastats.org/StatsBase.jl/stable/transformations/#Unit-range-normalization-1