naniar: gg_miss_var – R documentation

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gg_miss_var

Plot the number of missings for each variable

Description

This is a visual analogue to miss_var_summary. It draws a ggplot of the number of missings in each variable, ordered to show which variables have the most missing data. A default minimal theme is used, which can be customised as normal for ggplot.

Usage

gg_miss_var(x, facet, show_pct = FALSE)

Arguments

`x`	a dataframe
`facet`	(optional) bare variable name, if you want to create a faceted plot.
`show_pct`	logical shows the number of missings (default), but if set to TRUE, it will display the proportion of missings.

Value

a ggplot object depicting the number of missings in a given column

Examples

gg_miss_var(airquality)
## Not run: 
library(ggplot2)
gg_miss_var(airquality) + labs(y = "Look at all the missing ones")
gg_miss_var(airquality, Month)
gg_miss_var(airquality, Month, show_pct = TRUE)
gg_miss_var(airquality, Month, show_pct = TRUE) + ylim(0, 100)

## End(Not run)

naniar

Data Structures, Summaries, and Visualisations for Missing Data

v0.6.0

MIT + file LICENSE

Authors

Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb]

Initial release