Context If you like to eat cereal, do yourself a favor and avoid this dataset at all costs. After seeing these data it will never be the same for me to eat Fruity Pebbles again. Content Fields in the dataset: - Name: Name of cereal - mfr: Manufacturer of cereal - A = American Home Food Products; - G = General Mills - K = Kelloggs - N = Nabisco - P = Post - Q = Quaker Oats - R = Ralston Purina - type: - cold - hot - calories: calories per serving - protein: grams of protein - fat: grams of fat - sodium: milligrams of sodium - fiber: grams of dietary fiber - carbo: grams of complex carbohydrates - sugars: grams of sugars - potass: milligrams of potassium - vitamins: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended - shelf: display shelf (1, 2, or 3, counting from the floor) - weight: weight in ounces of one serving - cups: number of cups in one serving - rating: a rating of the cereals (Possibly from Consumer Reports?) Acknowledgements These datasets have been gathered and cleaned up by Petra Isenberg, Pierre Dragicevic and Yvonne Jansen. The original source can be found [here][1] This dataset has been converted to CSV Inspiration Eat too much sugary cereal? Ruin your appetite with this dataset! [1]: https://perso.telecom-paristech.fr/eagan/class/igr204/datasets