Required packages for the excises 1. ‘College’ dataset – Basic row manipulations a. Transform ‘College’ from ‘ISLR’ to data.table. Make sure to keep the University identifier. We will use this new data.table called ‘dtcollege’ throughout this block of exercises. b. Get familiar with the dataset and its variables. c. Extract rows 40 to 60 as a new data.table (‘mysubset’).
Data Pre-Processing is the very first step in data analytics. You cannot escape it, it is too important. Unfortunately this topic is widely overlooked and information is hard to find. With this course I will change this! Data Pre-Processing as taught in this course has the following steps: 1. Data Import: this might sound trivial