I’m excited to share the results of my final data project for the Montgomery County Alcohol Beverage Services (ABS) team as part of my data science course! Over the past few months, I’ve been working on a real-world inventory optimization challenge, analyzing sales data across three different retail store types (high-, mid-, and low-volume). The goal: improve the algorithm for calculating Minimum Shelf Stock and Reorder Quantities using a smarter, data-driven approach. Project Highlights: - Cleaned and explored 53 weeks of 2024 sales data using R - Designed and implemented two algorithms (baseline & improved model) - Factored in demand trends, delivery schedules, and sales variability - Created visualizations to evaluate performance across store types

Instrucciones Objetivo: Realizar un documento RMD para visualizar reducción de componentes y conglomerado MDS Recursos: Para el presente trabajo necesitamos descargar la base vinos que reside en el siguiente enlace Siga las indicaciones el siguiente archivo RMD, en el encontrará los detalles de los que se espera recibir de parte del estudiante . Cuando complete el documento renderize el archivo. Proceda a publicar el documento en el repositorio de RPUBS

Manual data setup Line plot by student Histogram with PDF overlay Levene’s test QQ plot + Shapiro-Wilk test Box plot per module Summary of group and overall means