This post analyzes market basket data from a UK gift retailer using association rule mining to discover which items are frequently bought together. The analysis covers data cleaning, exploratory analysis of 19,773 invoices, and introduces algorithms like Apriori and FP-Growth to find patterns scored by support, confidence, and lift metrics.