ECON 465 Data Science Project – Stage 1 & Stage 2

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