Contents Data preparation 1 Loading the dataset 1 Filling missing data 2 Reformatting data 2 Typo 2 Extra space reduction 2 Data Exploration 3 Subsection 1 3 Nominal values 3 Ordinal values 4 Numerical values 4 Subsection 2 4 Width vs price 4 Drive wheel vs price 5 Subsection 3