Missing values
2 options to deal with weird values:
- Drop the entire row. <– probably don’t do this
- Replace bad data with NA.
diamonds2 <- diamonds %>%
mutate(y = ifelse(y < 3 | y > 20, NA, y))
{ggplot2} will give a warning when values are missing, can suppress with na.rm = TRUE.