The Amazon sales dataset piques our interest due to the company's significant influence in the global e-commerce industry and our personal experience as loyal Amazon customers. We are curious about the various factors and trends that contribute to the pricing of products and their significance. By analyzing Amazon's sales data, we aim to gain valuable insights into the company's business strategies and operations. Our specific research questions include identifying trends in the dataset, exploring the impact of discounts on product ratings, and examining how the number of reviews affects product ratings. These research questions reflect our broader objective of gaining a deeper understanding of how different factors influence product performance on Amazon's platform. The dataset was found on kaggle.com. The data was provided by Karkavel Raja J, who scraped the data from the Amazon website. He is a Postgraduate Student from Puducherry India and is a Kaggle Novice. The data set contains information about the sales of various products on Amazon.