K-means clustering - European countries protein consumption

A food consumption pattern is of great interest in the field of medicine and nutrition. Food consumption is correlated to the overall health of an individual, the nutritional value of the food, the economics involved in purchasing a food item, and the environment in which it is consumed. This analysis is concerned with the relationship between meat and other food items in 25 European countries. It is interesting to observe the correlation between meat and other food items. The data includes measures of red meat, white meat, eggs, milk, fish, cereals, starchy foods, nuts (including pulses and oil-seeds), fruits, and vegetables.

Getting ready

In order to perform K-means clustering, we shall be using a dataset collected on protein consumption for 25 European countries.

Step 1 - collecting and describing data

The dataset titled protein which is in the CSV format shall be used. The dataset is in standard format. There are 25 rows of data...