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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

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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 %>% 
  ___
Edit and Run Code