construction

Completed construction in the US in 2018

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 

construction function

A dataset with variables:<dl>
<dt>Year,Month</dt>
<dd>Record date</dd><dt><code>1 unit</code>, <code>2 to 4 units</code>, <code>5 units or mote</code></dt>
<dd>Number of completed
units of each size</dd><dt>Northeast,Midwest,South,West</dt>
<dd>Number of completed units in each region</dd>
</dl>

Format

Completed construction in the US in 2018 — construction

A dataset with variables:<dl>
<dt>Year,Month</dt>
<dd>Record date</dd>

<dt><code>1 unit</code>, <code>2 to 4 units</code>, <code>5 units or mote</code></dt>
<dd>Number of completed
units of each size</dd>

<dt>Northeast,Midwest,South,West</dt>
<dd>Number of completed units in each region</dd>


</dl>

construction: Completed construction in the US in 2018

Description

Usage

Arguments

Format