col_stats

glimpse_fun

Apply a counting summary function like <code><a href="https://dplyr.tidyverse.org/reference/n_distinct.html">dplyr::n_distinct()</a></code> or <code>count_na()</code>
to every column of a data frame and return the results along with a
percentage of that value.

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

col_stats function

<dl><dt>data</dt>
<dd>A data frame to glimpse.</dd>
<dt>fun</dt>
<dd>A function to map to each column.</dd>
<dt>print</dt>
<dd>logical; Should all columns be printed as rows?</dd></dl>

Arguments

Apply a counting summary function like <code><a href='https://dplyr.tidyverse.org/reference/n_distinct.html'>dplyr::n_distinct()</a></code> or <code>count_na()</code>
to every column of a data frame and return the results along with a
percentage of that value.

Apply a statistic function to all column vectors — col_stats

<dl>

<dt>data</dt>
<dd>A data frame to glimpse.</dd>


<dt>fun</dt>
<dd>A function to map to each column.</dd>


<dt>print</dt>
<dd>logical; Should all columns be printed as rows?</dd>

</dl>

col_stats: Apply a statistic function to all column vectors

Description

Usage

Value

Arguments

Examples