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)
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. |
a ggplot object depicting the number of missings in a given column
geom_miss_point()
gg_miss_case()
gg_miss_case_cumsum gg_miss_fct()
gg_miss_span()
gg_miss_var()
gg_miss_var_cumsum()
gg_miss_which()
gg_miss_var(airquality)