impute_below_all(.tbl, prop_below = 0.1, jitter = 0.05, ...)

# you can impute data like so:
airquality %>%
  impute_below_all()

# However, this does not show you WHERE the missing values are.
# to keep track of them, you want to use `bind_shadow()` first.

airquality %>%
  bind_shadow() %>%
  impute_below_all()

# This identifies where the missing values are located, which means you
# can do things like this:

## Not run: 
library(ggplot2)
airquality %>%
  bind_shadow() %>%
  impute_below_all() %>%
  # identify where there are missings across rows.
  add_label_shadow() %>%
  ggplot(aes(x = Ozone,
             y = Solar.R,
             colour = any_missing)) +
  geom_point()
# Note that this ^^ is a long version of `geom_miss_point()`.

## End(Not run)