gg_miss_which

This plot produces a set of rectangles indicating whether there is a missing
element in a column or not. A default minimal theme is used, which can be
customised as normal for ggplot.

Missing values are ubiquitous in data and need to be explored and
handled in the initial stages of analysis. 'naniar' provides data
structures and functions that facilitate the plotting of missing values and
examination of imputations. This allows missing data dependencies to be
explored with minimal deviation from the common work patterns of 'ggplot2'
and tidy data. The work is fully discussed at Tierney & Cook (2023)
<doi:10.18637/jss.v105.i07>.

Nicholas Tierney

naniar

Data Structures, Summaries, and Visualisations for Missing Data

Di Cook

Miles McBain

Colin Fay

Mitchell O'Hara-Wild

Jim Hester

Luke Smith

Andrew Heiss

gg_miss_which function

<dl><dt>x</dt>
<dd>a dataframe</dd></dl>

Arguments

Plot which variables contain a missing value — gg_miss_which

<dl>

<dt>x</dt>
<dd>a dataframe</dd>

</dl>

State of Data and AI Literacy Report 2025

gg_miss_which: Plot which variables contain a missing value

Description

Usage

Value

Arguments

See Also

Examples