acs_start

An extract constructed from the 2019 American Community Survey containing a
survey sample of n = 500 Nebraska respondents, with survey weights included.

datasets

A system built on 'tidymodels' for generating synthetic tabular
data. We provide tools for ordering a sequential synthesis, feature and
target engineering, sampling, hyperparameter tuning, enforcing constraints,
and adding extra noise during a synthesis.

Aaron Williams

tidysynthesis

A Common API for Synthesizing Data

Aaron R. Williams

Kyle Ueyama

Gabe Morrison

Jeremy Seeman

Elyse McFalls

Claire Morton

Livia Mucciolo

Madeline Pickens

Noah Zwiefel

The Urban Institute 

acs_start function

<div class="section" id="acs-start">
<h3><code>acs_start</code></h3>
A data frame with 500 rows and 5 columns:<dl>
<dt>county</dt>
<dd>fct, county</dd><dt>gq</dt>
<dd>fct, group quarter kind</dd><dt>sex</dt>
<dd>fct, sex</dd><dt>marst</dt>
<dd>fct, marital status</dd><dt>wgt</dt>
<dd>dbl, survey weight</dd>
</dl></div>

Format

American Community Survey starting microdata (with weights) — acs_start

<div class='section' id='acs-start'>
<h3><code>acs_start</code></h3>


A data frame with 500 rows and 5 columns:<dl>
<dt>county</dt>
<dd>fct, county</dd>

<dt>gq</dt>
<dd>fct, group quarter kind</dd>

<dt>sex</dt>
<dd>fct, sex</dd>

<dt>marst</dt>
<dd>fct, marital status</dd>

<dt>wgt</dt>
<dd>dbl, survey weight</dd>


</dl>

</div>

American Community Survey starting microdata (with weights)

acs_start: American Community Survey starting microdata (with weights)

Description

Usage

Arguments

Format

`acs_start`

Details