Working with high-paid R&D candidates
The vacancies in our dataset come from different departments and concern different types of contracts and salaries. Let's zoom in on a specific segment: high-paid R&D staff.
When filtering on specific attributes, dplyr's filter command is most useful.
This exercise is part of the course
Business Process Analytics in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Filter for the R&D department with salary over 100k
high_paid <- vacancies %>%
___(___ == ___, ___ == ___)
# Calculate resource frequencies at the resource level
high_paid %>%
___