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.

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

See also

Examples

gg_miss_var(airquality)
library(ggplot2) gg_miss_var(airquality) + labs(y = "Look at all the missing ones")
gg_miss_var(airquality, Month)
gg_miss_var(airquality, Month, TRUE)