This advanced Market Basket Analysis on Instacart data benchmarks the classic Apriori algorithm against the high-efficiency FP-Growth method to ensure scalability. Moving beyond standard metrics, the project employs Kulczynski, Certainty Factor, and Added Value to isolate robust rules, while also implementing Sequential Pattern Mining (cSPADE) and multi-level hierarchy analysis. Supported by rigorous memory optimization and statistical testing, this study uncovers deep, actionable insights into consumer purchasing behaviors and organic product ecosystems.

Lab 3.2 Improvements Lab - Using RPubs because quarto-pub function is currently broken for my data vis class.