us_rent_income

Captured from the 2017 American Community Survey using the tidycensus
package.

datasets

Tools to help to create tidy data, where each column is a
variable, each row is an observation, and each cell contains a single
value.  'tidyr' contains tools for changing the shape (pivoting) and
hierarchy (nesting and 'unnesting') of a dataset, turning deeply
nested lists into rectangular data frames ('rectangling'), and
extracting values out of string columns. It also includes tools for
working with missing values (both implicit and explicit).

Hadley Wickham

tidyr

Tidy Messy Data

Davis Vaughan

Maximilian Girlich

Kevin Ushey

Posit Software, PBC 

us_rent_income function

A dataset with variables:<dl>
<dt>GEOID</dt>
<dd>FIP state identifier</dd><dt>NAME</dt>
<dd>Name of state</dd><dt>variable</dt>
<dd>Variable name: income = median yearly income,
rent = median monthly rent</dd><dt>estimate</dt>
<dd>Estimated value</dd><dt>moe</dt>
<dd>90% margin of error</dd>
</dl>

Format

US rent and income data — us_rent_income

A dataset with variables:<dl>
<dt>GEOID</dt>
<dd>FIP state identifier</dd>

<dt>NAME</dt>
<dd>Name of state</dd>

<dt>variable</dt>
<dd>Variable name: income = median yearly income,
rent = median monthly rent</dd>

<dt>estimate</dt>
<dd>Estimated value</dd>

<dt>moe</dt>
<dd>90% margin of error</dd>


</dl>

us_rent_income: US rent and income data

Description

Usage

Arguments

Format