We want to determine the frequency with which certain sets of items, typically products, appear together in customer transactions, commonly referred to as baskets. This method finds extensive application in understanding consumer purchasing behavior in supermarkets and retail chains, where transaction details are recorded using point-of-sale scanners.

In this analysis, we delve into the realm of dimensionality reduction, a fundamental technique in exploratory data analysis and machine learning. Dimensionality reduction methods, such as Principal Component Analysis (PCA).

Exploring Global Trends in the Automotive Market