This project demonstrates how to transform wide datasets into tidy formats using R. Three datasets—Sales, Scores, and Vaccinations—were cleaned, reshaped, and summarized to prepare them for analysis and visualization. The project highlights the use of pivot_longer(), mutate(), and group_by() for data tidying, and includes visual summaries created with ggplot2. The completed outputs were exported to CSV files and packaged into a single zip file for easy sharing.

CRD/One-Way ANOVA and Multiple Comparisons in R

Reporte intertrimestral Monica Rangel Padilla