explore_plot

This function simply wraps around <code><a href="https://ggplot2.tidyverse.org/reference/geom_bar.html">ggplot2::geom_col()</a></code> to take a dataframe
and categorical variable to return a custom barplot <code>ggplot</code> object. The bars
are arranged in descending order and are limited to the 8 most frequent
values.

Explore and normalize American campaign finance
data. Created by the Investigative Reporting Workshop to facilitate
work on The Accountability Project, an effort to collect public data
into a central, standard database that is more easily searched:
<https://publicaccountability.org/>.

Kiernan Nicholls

campfin

Wrangle Campaign Finance Data

Investigative Reporting Workshop 

Yanqi Xu

Schuyler Erle

explore_plot function

<dl><dt>data</dt>
<dd>The data frame to explore.</dd>
<dt>var</dt>
<dd>A variable to plot.</dd>
<dt>nbar</dt>
<dd>The number of bars to plot. Always shows most common values.</dd>
<dt>palette</dt>
<dd>The color palette passed to [ggplot2::scale_fill_brewer().</dd>
<dt>na.rm</dt>
<dd>logical: Should <code>NA</code> values of <code>var</code> be removed?</dd></dl>

Arguments

This function simply wraps around <code><a href='https://ggplot2.tidyverse.org/reference/geom_bar.html'>ggplot2::geom_col()</a></code> to take a dataframe
and categorical variable to return a custom barplot <code>ggplot</code> object. The bars
are arranged in descending order and are limited to the 8 most frequent
values.

Create Basic Barplots — explore_plot

<dl>

<dt>data</dt>
<dd>The data frame to explore.</dd>


<dt>var</dt>
<dd>A variable to plot.</dd>


<dt>nbar</dt>
<dd>The number of bars to plot. Always shows most common values.</dd>


<dt>palette</dt>
<dd>The color palette passed to [ggplot2::scale_fill_brewer().</dd>


<dt>na.rm</dt>
<dd>logical: Should <code>NA</code> values of <code>var</code> be removed?</dd>

</dl>

explore_plot: Create Basic Barplots

Description

Usage

Value

Arguments

Examples