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Hello,
I have data that looks like this:
Employee | Employment | Age |
1 | a | 35 |
1 | b | 35 |
2 | a | 40 |
3 | a | |
4 | a | 51 |
4 | b | 51 |
I want to calculate the median age of the individual employees. Simply taking the median of age column is not good, since it counts Employee 1 and 4's ages twice.
I need a measure that counts distinct values in the employee column, then takes their median age. (Employees with blank age shouldn't be calculated)
Any idea about a formula that could do this?
Thanks!
Solved! Go to Solution.
I think this should work
calculate(Medianx(values(table[employee]),calculate(average(table[age]))),table[age]>0)
I think this should work
calculate(Medianx(values(table[employee]),calculate(average(table[age]))),table[age]>0)
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