Design the following steps involved in data pre$-$processing using Sklearn libraries considering the Region Dataset.

Import the libraries

Import the Dataset

Handling of Missing Data

Handling of Categorical Data

Splitting the dataset into training and testing datasets

Feature Scaling$-$Apply Standard Scalar on complete X$-$train and X$-$test

$\backslash$table$[[1,$Region,Age,Income,Online Shopper$],[2,$India,$49,86400,$No$],[3,$Brazil,$32,57600,$Yes$],[4,$USA,$35,64800,$No$],[5,$Brazil,$43,73200,$No$],[6,$USA,$45,,$Yes$],[7,$India,$40,69600,$Yes$],[8,$Brazil,,$62400,$No$],[9,$India,$53,94800,$Yes$],[10,$USA,$55,99600,$No$],[11,$India,$42,80400,$Yes$]]$