Exploratory Data Analysis of Amazon.com Book Reviews Exploratory Data Analysis of Amazon.com Book Reviews List of Figures List of Tables Background

Amazon.com is originally found by Jeff Bezos in 1994 and has grown rapidly to become one of the most successful e-commerce businesses in the world. Today, Amazon.com is a Fortune 500 company and is the largest online retailer in the United States. One of the reasons that lead to the company success is the innovative review systems. The structured user friendly system has benefited both the company and customers. This thesis will find out the nature of a dataset from this review system. We would ultimately like to find out whether earlier reviews receive more and better feedbacks than later ones. Based on previous research, we would try to modify the approach in order to give a more precision conclusion to our initial question. Our primary goal is to observe whether earlier reviews tend to receive higher helpfulness ratings because of the duration of the review, instead of the review's content. Also, we would try to explain the nature of the dataset using summary statistics and exploratory data analysis; in particular, we would only focus on perspectives that are related to favorable votes and total votes.