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I have data in power bi in the table in below form:
ID | Date | Failure |
1 | 1/1/2021 | A |
2 | 1/2/2021 | B |
3 | 1/17/2021 | C |
4 | 2/4/2021 | A |
5 | 2/15/2021 | D |
6 | 4/6/2021 | D |
7 | 7/10/2021 | C |
8 | 8/12/2021 | B |
9 | 9/9/2021 | A |
10 | 12/30/2021 | E |
And I need to calculate standard deviation of individual failure (for A,B,C....) counts in past 12 months.
Failure Counts | Apr | May | Jun | Jun | Jul | July | Aug | Sep | Standard Dev |
A | 1 | 5 | 3 | 5 | 6 | 7 | 8 | 9 | =+STDEV.S(J21:Q21) |
B | 2 | 7 | 5 | 8 | 9 | 11 | 12 | 14 | =+STDEV.S(J22:Q22) |
C | 5 | 4 | 5 | 6 | 9 | 1 | 7 | 2 | =+STDEV.S(J23:Q23) |
D | 4 | 1 | 3 | 0 | 8 | 3 | 4 | 5 | =+STDEV.S(J24:Q24) |
E | 3 | 1 | 3 | 6 | 7 | 9 | 0 | 1 | =+STDEV.S(J25:Q25) |
Something like this
Failure | Std Dev |
A | 2.5 |
B | 2.5 |
C | 3.5 |
D | 4 |
E | 1.2 |
Can someone please help me?
Hey @nakul555 ,
that should be possible with the function STDEV.S
Hello @selimovd,
The issue is how to calculate the count monthly so that its standard dev can be calculated.
Currently I have
User | Count |
---|---|
85 | |
79 | |
64 | |
52 | |
46 |
User | Count |
---|---|
101 | |
52 | |
41 | |
39 | |
37 |