Millonarios

I spent years fighting RStudio's data viewer. Eventually I gave up and started dumping dataframes to CSV just to look at them properly. When Positron came out, I did what any reasonable person would do: I opened a dataframe, tried to filter it, and took notes. What I found was a neat little product paradox — more steps, better experience. As a certified Product Owner, I had thoughts.

Author: Refochella Florentine Gwacevo Pertiwi (24031554045) & Gita Nurani (24031554122)

Tugas ini merupakah tugas minggu ke 3 mata kuliah Pemodelan Statistika dan Simulasi. Didalamnya mengeksplorasi teknik pembangkitan data menggunakan bahasa R untuk mensimulasikan berbagai fenomena Statistik, utamanya penerapan Distribusi Binomial, Distribusi Normal dan Distribusi Poisson. Tugas ini juga memuat visualisasi histrogram serta rangkuman (summary) untuk memvalidasi daata hasil simulasi.

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.