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So, I am trying to calculate the standard deviation of a set of values in PowerBI. There are two columns-namely, days & count- in a table representing frequency distribution of a transportation lane. Days are numbered 1 through 100, count is the number of shipments that took those number of days.

The formula to calculate the standard deviation of a frequency distribution is pretty straightforward: sqrt(sum(fx * (x - avgx)^2))/sum(fx)) But I can't really figure out the DAX. I'd appreciate any help. Thanks.

Nov 26, 2018 in Power BI 15,389 views

## 1 answer to this question.

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Suppose you've to obtain the Standard Deviation of the following data;

2,4,4,4,5,5,7,9

The mean(average) of the sample set = 5

First, you need to calculate the deviation of each element from the mean. (Basically, the squared difference of each element from the mean)

The mean of all deviations is the population variance. In this case, it is 4.

And the standard deviation is the square root of the population variance =2.

If you convert it into its Power BI equivalent,

And the measure is created as follows, the tricky part is to make use of the SUMX function. It's always convenient to break down the intermediate steps with VAR to make it more clear.

As a result, you get,

P.S. Power BI does have a built-in function for calculating standard deviation(e.g. STDEVX.P). However, it's not always useful. Do feel free to check it out though.

answered Nov 26, 2018 by
• 8,620 points

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