Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
Nutritional Profile: Principal components like PC1 and PC2 highlight the significant influence of nutritional factors like calories, sugars, fiber, and potass. Manufacturer and Type: PC3, PC5, PC6, and others show a strong association with specific manufacturers (mfr_K, mfr_G, mfr_R, etc.) and