This project analyzes a dataset of American breakfast cereals containing nutritional values, manufacturer information, and production/expiration dates. The main objective was to perform a complete data workflow using R and the tidyverse ecosystem, transforming a raw Excel file into meaningful insights.

This exercise presents a statistical analysis based on an experiment with different cotton weight percentages and associated observations. The objective was to apply orthogonal contrasts to interpret the differences between treatments.