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)gg_miss_var(airquality, Month)gg_miss_var(airquality, Month, show_pct = TRUE)gg_miss_var(airquality, Month, show_pct = TRUE) + ylim(0, 100)