var_missing

var_distinct

Apply either <code>count_na()</code> or <code><a href="https://dplyr.tidyverse.org/reference/n_distinct.html">dplyr::n_distinct()</a></code> to every column of a data
frame and return the count and share of total values (either proportion
missing or proportion distinct).

Quality of life functions for interactive programming.
Shortcuts for common combinations of functions or different default
arguments. Not to be used in production level scripts, but useful for
exploring and quickly manipulating data for easy analysis. Also
imports a variety of packages to facilitate the installation of those
imported packages on the host machine.

Kiernan Nicholls

Kiernan Nicholls Miscellaneous

var_missing function

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

Arguments

Apply either <code>count_na()</code> or <code><a href='https://dplyr.tidyverse.org/reference/n_distinct.html'>dplyr::n_distinct()</a></code> to every column of a data
frame and return the count and share of total values (either proportion
missing or proportion distinct).

Apply a statistic function to all variables — var_missing

<dl>

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

</dl>

var_missing: Apply a statistic function to all variables

Description

Usage

Value

Arguments

Examples