Este informe presenta un análisis exhaustivo del mercado inmobiliario urbano, basado en una muestra de 8,322 propiedades. Mediante la aplicación de técnicas avanzadas de análisis estadístico y geoespacial, se han identificado patrones críticos de mercado, segmentos específicos de clientes y oportunidades estratégicas de inversión.

This paper explores the application of association rule mining to analyze customer behavior in Nigeria’s automobile retail sector. Using market basket analysis, the study identifies frequent itemsets and uncovers hidden patterns in customer purchase data. These insights provide valuable information for retailers to design targeted marketing strategies, optimize product placement, and enhance cross-selling opportunities. By leveraging association rules, this research contributes to a deeper understanding of customer preferences and behavior in the Nigerian automobile retail market.

Anita Acewicz, Julia Mikołajun, Zuzanna Jurkowska, Paweł Popkowski

McDonald's stores worldwide, from Kaggle dataset 2023 by ForeverYou

Anomaly Chart of the S&P 500 from 2024 to 2025 using stock data from 1/31/2024 to 1/31/2025