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)
(optional) bare variable name, if you want to create a faceted plot.
logical shows the number of missings (default), but if set to TRUE, it will display the proportion of missings.
a ggplot object depicting the number of missings in a given column
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)