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 (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.

## Value

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()

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