QB pass completion and ranking

Datos hechos del informe final

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.

Socialization Study

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.

Model ensambles, projections, quantify risk, introduction to HCRs

A simple interactive dygraph comparing monthly rainfall at four Irish stations (Dublin Airport, Belfast, UCG, Cork Airport). The RangeSelector lets all series move together so wet and dry periods can be explored easily, with a 12-month roller used to smooth short-term noise.