This is a dataset that contains nutritional values of household commodities. The dataset was used in the “stigler”-problem where ones tries to figure out how to minimise the costs of food while still getting enough nutrients. This dataset was created by calmcode.io and contains more than 230 household Items along with their Price, Nutritional properties and other features such as:
- Unit size
- Vitamins Content
- Protein Content
- and more.