## 11.3 Identify missing values in each variable: missing_plot()

Visualising data is essential to help understand it, and missing data is no exception. missing_plot() function also from finalfit is useful for grasping the amount of missing data in each variable. Row number is on the x-axis and all included variables are on the y-axis.

colon_s %>%
missing_plot(dependent, explanatory)

Further visualisations of missingness can be done using the naniar package.