This project utilizes association rule mining techniques to analyze an online retail dataset sourced from Kaggle. The goal is to uncover hidden relationships between products that are frequently purchased together, providing actionable insights for optimizing product bundling, targeted marketing strategies, and inventory management. By exploring frequent itemsets and association rules, the analysis offers recommendations that can help businesses enhance their sales performance and improve customer satisfaction through personalized offerings and promotions. Let me know if you need further edits!

chi-square need to edit 2

I removed B cells from L4 CD14 Mono and ILC and NK just one cell

Recreating and improving the graph "Share of the population using the internet" found on Our World In Data

chi-square need to edit

This is my latest CV - if anyone knows why I can't see the logo.png that is in the Rmd please get in touch.

Ana Vilaña y David Chávez Fecha Creación: 2012025

Proyecto de Capacitación en Excel Avanzado con Enfoque en IA para Administrativos de VOLPY (Volpysa)