studebt

Outstanding student debts in 2016 across 8 income categories, by
percent of all borrowers and percent of all balances.

datasets

Supporting materials for a course and book on data visualization. It contains utility functions for graphs and several sample data sets. See Healy (2019) <ISBN 978-0691181622>.

Kieran Healy

socviz

Utilities and Data Sets for Data Visualization

studebt function

## `studebt`
A data frame with 16 rows and 4 columns:<dl>
 <dt>Debt</dt>
<dd>Debt categories (character)</dd> <dt>type</dt>
<dd>Pct in terms of Borrowers or Balances</dd> <dt>pct</dt>
<dd>Percentage of all type</dd> <dt>Debtrc</dt>
<dd>Debt categories (ordered factor)</dd>
</dl>

Format

Student debt data — studebt

## `studebt`
A data frame with 16 rows and 4 columns:<dl>
 <dt>Debt</dt>
<dd>Debt categories (character)</dd>

 <dt>type</dt>
<dd>Pct in terms of Borrowers or Balances</dd>

 <dt>pct</dt>
<dd>Percentage of all type</dd>

 <dt>Debtrc</dt>
<dd>Debt categories (ordered factor)</dd>


</dl>

studebt: Student debt data

Description

Usage

Arguments

Format