[This article was first published on R – Win Vector LLC
, and kindly contributed to R-bloggers
]. (You can report issue about the content on this page here
Want to share your content on R-bloggers? click here
if you have a blog, or here
if you don't.
Chapter 8 “Advanced Data Preparation” of Practical Data Science with R is a study in:
It is the professionally edited, ready to cite version of an important data preparation methodology. An advantage being: a number of well documented result improving transforms are added to your predictive analytic work in one documented step.
We also have a number of free data preparation resources (for both the
R vtreat package and the
Python vtreat package; notice we believe in cross-language data science tools and practice):