Equal counts stratified sampling
If one subgroup is larger than another subgroup in the population, but you don't want to reflect that difference in your analysis, then you can use equal counts stratified sampling to generate samples where each subgroup has the same amount of data. For example, if you are analyzing blood types, O is the most common blood type worldwide, but you may wish to have equal amounts of O, A, B, and AB in your sample.
attrition_pop is available; pandas is loaded with its usual alias.
This exercise is part of the course
Sampling in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get 30 employees from each Education group
attrition_eq = ____
# Print the sample
print(attrition_eq)