// data exploration & preparation · application
R has the capability to perform a range of Data Preparation tasks. Inbuilt libraries take care of various tasks such as Consolidation of datasets, Missing value and Outlier Treatment. To demonstrate the working of R for performing all such tasks, various hypothetical datasets have been used.
The next big topic under Data Preparation is of Feature Engineering. Here libraries such as caret is put to use to perform Recursive Feature Elimination. R is also used for Feature Selection, Transformation and Scaling. For performing some of the tasks under Feature Engineering, the Boston dataset has been used.
TM