risk

The risk dataset contains 246 records and 6 variables. The target variable is risk, a factor with two levels ("good risk" and "bad risk"). The remaining five variables serve as predictors. The dataset was simulated to reflect a realistic real-world scenario.

 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

Toolkit and Datasets for Data Science

Reza Mohammadi

Kevin Burke

risk function

the <code>risk</code> dataset, as a data frame, contains \(246\) rows (customers) and \(6\) columns (variables/features). the \(6\) variables are:<ul>
<li><code>age</code>: age in years.</li>
<li><code>marital</code>: A factor with levels "single", "married", and "other".</li>
<li><code>income</code>: yearly income.</li>
<li><code>mortgage</code>: A factor with levels "yes" and "no".</li>
<li><code>nr_loans</code>: Number of loans that constomers have.</li>
<li><code>risk</code>: A factor with levels "good risk" and "bad risk".</li>
</ul>

Format

Risk data set — risk

the <code>risk</code> dataset, as a data frame, contains \(246\) rows (customers) and \(6\) columns (variables/features). the \(6\) variables are:<ul>
<li><code>age</code>: age in years.</li>
<li><code>marital</code>: A factor with levels "single", "married", and "other".</li>
<li><code>income</code>: yearly income.</li>
<li><code>mortgage</code>: A factor with levels "yes" and "no".</li>
<li><code>nr_loans</code>: Number of loans that constomers have.</li>
<li><code>risk</code>: A factor with levels "good risk" and "bad risk".</li>
</ul>

risk: Risk data set

Description

Usage

Arguments

Format

References

See Also

Examples