Performing cluster sampling
Now that you know when to use cluster sampling, it's time to put it into action. In this exercise, you'll explore the JobRole column of the attrition dataset. You can think of each job role as a subgroup of the whole population of employees.
attrition_pop is available; pandas is loaded with its usual alias, and the random package is available. A seed of 19790801 has also been set with random.seed().
Deze oefening maakt deel uit van de cursus
Sampling in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Create a list of unique JobRole values
job_roles_pop = ____
# Randomly sample four JobRole values
job_roles_samp = ____
# Print the result
print(job_roles_samp)