This dataset contains nutrition information for \(77\) breakfast cereals and includes \(16\) variables. The "reating
" column is our target as a rating of the cereals (Possibly from Consumer Reports?).
data( cereal )
The cereal
dataset, as a data frame, contains \(77\) rows (breakfast cereals) and \(16\) columns (variables/features). The \(16\) variables are:
name
: Name of cereal.
manuf
: 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 or 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?).
These datasets have been gathered and cleaned up by Petra Isenberg, Pierre Dragicevic and Yvonne Jansen. The original source can be found: https://perso.telecom-paristech.fr/eagan/class/igr204/datasets
adult
, risk
, churn
, churnTel
, bank
, advertising
, marketing
, insurance
, housePrice
, house
# NOT RUN {
data( cereal )
str( cereal )
# }
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