Is systematic sampling OK?
Systematic sampling has a problem: if the data has been sorted, or there is some sort of pattern or meaning behind the row order, then the resulting sample may not be representative of the whole population. The problem can be solved by shuffling the rows, but then systematic sampling is equivalent to simple random sampling.
Here you'll look at how to determine whether or not there is a problem.
attrition_pop is available; pandas is loaded as pd, and matplotlib.pyplot as plt.
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.
# Add an index column to attrition_pop
attrition_pop_id = ____
# Plot YearsAtCompany vs. index for attrition_pop_id
____
plt.show()