cereal

This dataset contains nutrition information for \(77\) breakfast cereals and includes \(16\) variables. the "<code>rating</code>" column is our target as a rating of the cereals (Possibly from Consumer Reports?).

 datasets

Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver," symbolizing deep and immersive engagement with knowledge.

Abdolreza Mohammadi

liver

Foundations Toolkit and Datasets for Data Science

Reza Mohammadi

Kevin Burke

cereal function

the <code>cereal</code> dataset, as a data frame, contains \(77\) rows (breakfast cereals) and \(16\) columns (variables/features). the \(16\) variables are:<ul>
<li><code>name</code>: Name of cereal.</li>
<li><code>manuf</code>: Manufacturer of cereal, coded into seven categories: "A" for American Home Food Products, "G" for General Mills, "K" for Kelloggs, "N" for Nabisco, "P" for Post, "Q" for Quaker Oats, and "R" for Ralston Purina.</li>
<li><code>type</code>: cold or hot.</li>
<li><code>calories</code>: calories per serving.</li>
<li><code>protein</code>: grams of protein.</li>
<li><code>fat</code>: grams of fat.</li>
<li><code>sodium</code>: milligrams of sodium.</li>
<li><code>fiber</code>: grams of dietary fiber.</li>
<li><code>carbo</code>: grams of complex carbohydrates.</li>
<li><code>sugars</code>: grams of sugars.</li>
<li><code>potass</code>: milligrams of potassium.</li>
<li><code>vitamins</code>: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended.</li>
<li><code>shelf</code>: display shelf (1, 2, or 3, counting from the floor).</li>
<li><code>weight</code>: weight in ounces of one serving.</li>
<li><code>cups</code>: number of cups in one serving.</li>
<li><code>rating</code>: a rating of the cereals (Possibly from Consumer Reports?).</li>
</ul>

Format

Cereal data set — cereal

the <code>cereal</code> dataset, as a data frame, contains \(77\) rows (breakfast cereals) and \(16\) columns (variables/features). the \(16\) variables are:<ul>
<li><code>name</code>: Name of cereal.</li>
<li><code>manuf</code>: Manufacturer of cereal, coded into seven categories: "A" for American Home Food Products, "G" for General Mills, "K" for Kelloggs, "N" for Nabisco, "P" for Post, "Q" for Quaker Oats, and "R" for Ralston Purina.</li>
<li><code>type</code>: cold or hot.</li>
<li><code>calories</code>: calories per serving.</li>
<li><code>protein</code>: grams of protein.</li>
<li><code>fat</code>: grams of fat.</li>
<li><code>sodium</code>: milligrams of sodium.</li>
<li><code>fiber</code>: grams of dietary fiber.</li>
<li><code>carbo</code>: grams of complex carbohydrates.</li>
<li><code>sugars</code>: grams of sugars.</li>
<li><code>potass</code>: milligrams of potassium.</li>
<li><code>vitamins</code>: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended.</li>
<li><code>shelf</code>: display shelf (1, 2, or 3, counting from the floor).</li>
<li><code>weight</code>: weight in ounces of one serving.</li>
<li><code>cups</code>: number of cups in one serving.</li>
<li><code>rating</code>: a rating of the cereals (Possibly from Consumer Reports?).</li>
</ul>

cereal: Cereal data set

Description

Usage

Arguments

Format

See Also

Examples