house

the house dataset contains \(6\) features and \(414\) records. the target feature is unit.price and the remaining 5 variables are predictors.

 datasets

Provides a suite of helper functions and a collection of datasets used in the book <https://uncovering-data-science.netlify.app>. It is designed to make data science techniques accessible to individuals with minimal coding experience. Inspired by an ancient Persian idiom, the package likens this learning process to "eating the liver of data science," symbolizing deep and immersive engagement with the field.

Abdolreza Mohammadi

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

house function

the <code>house</code> dataset, as a data frame, contains \(414\) rows and \(6\) columns (variables/features). the \(6\) variables are:<ul>
<li><code>house.age</code>: house age (numeric, in year).</li>
<li><code>distance.to.MRT</code>: distance to the nearest MRT station (numeric).</li>
<li><code>stores.number</code>: number of convenience stores (numeric).</li>
<li><code>latitude</code>: latitude (numeric).</li>
<li><code>longitude</code>: longitude (numeric).</li>
<li><code>unit.price</code>: house price of unit area (numeric).</li>
</ul>

Format

house data set — house

the <code>house</code> dataset, as a data frame, contains \(414\) rows and \(6\) columns (variables/features). the \(6\) variables are:<ul>
<li><code>house.age</code>: house age (numeric, in year).</li>
<li><code>distance.to.MRT</code>: distance to the nearest MRT station (numeric).</li>
<li><code>stores.number</code>: number of convenience stores (numeric).</li>
<li><code>latitude</code>: latitude (numeric).</li>
<li><code>longitude</code>: longitude (numeric).</li>
<li><code>unit.price</code>: house price of unit area (numeric).</li>
</ul>

house: house data set

Description

Usage

Arguments

Format

Details

See Also

Examples