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PS 7.1
QB ranking
QB pass completion and ranking
DATOS R
Datos hechos del informe final
Uncovering Consumer Purchasing Patterns in Fast Fashion: A Market Basket Analysis of H&M Transaction Data
This project analyzes 300,000 H&M transactions using the Apriori algorithm to identify how customers bundle products. By using Support, Confidence, and Lift metrics, the research categorizes items into "Anchor" staples and "Target" coordinated sets. The results, visualized through high-contrast network graphs, reveal that certain fashion pairings exhibit lift values over 5,000, offering a significant opportunity for optimized digital cross-selling and store layout strategies.
Study 1 (GOM)
Socialization Study
CBZS: Jan 2026
Monthly Rainfall Trends at Four Irish Weather Stations (1850-2014)
GY672 Assignment 2: Monthly Rainfall Trends at Four Irish Weather Stations (1850-2014). Stations used in this blog is Dublin Airport, Belfast, Cork Airport and University College Galway.