The purpose of this report is to discuss the findings of the automobile data set using a preliminary exploratory data analysis (EDA) approach. The automobile data set contains a total of 26 attributes including information about prices, makes, various mechanical features and speed performances. The dimension of the data set is 205 x 26. The data set had missing information which was addressed prior the EDA. No deep analysis was conducted for investigation such as deep learning.