This paper explores the application of unsupervised learning methods to analyze customer behavior in Nigeria’s automobile retail sector. By employing clustering and dimension reduction techniques, I aim to uncover hidden patterns and groupings within the data, enabling a deeper understanding of customer preferences and behaviors. This analysis provides actionable insights for automotive retailers to enhance customer segmentation strategies and improve service offerings.

sample tmap of Mercer County Median Income

This is demonstrational purpose only with randomly selected households in a NJ county.

expectativas - Boletim Focus