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

RStudio 

construction function

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