This project explores Amazon e-commerce data using a variety of data visualizations created in R. The analysis focuses on product ratings, pricing, discounts, customer reviews, and category-level trends. Using charts such as bar plots, scatter plots, box plots, heatmaps, and interactive visualizations, the project identifies patterns in customer behavior and product performance. The goal of the project is to demonstrate how data visualization can communicate insights clearly and effectively through polished and informative graphics.

The goal of this section is to better understand the beverage manufacturing dataset before predictive modeling begins. Exploratory Data Analysis (EDA), data cleaning, and data transformations were performed to identify patterns, missing values, outliers, and relationships between variables related to beverage pH. This process is important because understanding the data helps ensure that later predictive models are built using reliable and meaningful information.

ABC Beverage Company - Project created by Joao De Oliveira, Kerwin Charles, Anthony Roman, Chanice Mckenzie, and Hristiyana Yaneva