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

RStudio 

us_rent_income function

A dataset with variables:<dl class="dl-horizontal">
<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 class='dl-horizontal'>
<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