Módulo: Exploración y análisis de bases de datos Licenciatura en Ciencias Genómicas, UNAM Marzo 2026

example

This project analyzes the Superstore dataset (U.S.) to explore sales performance, profitability, customer purchasing behavior, and operational patterns. The dataset contains information on orders, products, sales, profits, discounts, customer segments, shipping methods, and regions over multiple years. Using data cleaning, exploratory data analysis (EDA), and visualizations in R, the study examines: Total sales and profit trends over time. Performance of product categories and sub-categories. Most purchased products and loss-making items. Regional and segment-level contributions to sales. Discount patterns across product categories. Relationship between shipping modes and order volumes. The analysis provides actionable insights for business decision-making, including identifying profitable products, managing discounts, and targeting customer segments or regions. By focusing not just on sales growth but also on profitability, the project helps highlight strategies for improving overall performance and revenue.

Julian Sanchez & Camila Torres

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Datos para Cap 2 de Nearshoring en México

Capitulo 2, Nearshoring en México