# NOT RUN {
find_na(jobchange)
find_na(jobchange, index = FALSE)
find_na(jobchange, rate = TRUE)
## using dplyr -------------------------------------
library(dplyr)
# Perform simple data quality diagnosis of variables with missing values.
jobchange %>%
select(find_na(.)) %>%
diagnose()
# }
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