This article describes calculation of correlation coefficient in Power BI. It is a little bit annoying, because Power BI does not contain (so far) any specific function for direct calculation (like CORREL function in Excel).

So we have to do it "manually". The way described here is quite long and I´d really appreciate if you add something better to discussion.

I also have to remind that you can workaround this issue by publishing the data to Excel (and calculate it there very simply) or run R script on Power BI data, but both ways have some disadvantages.

So now we are going to work with this table containing two columns of data (spited into two groups A and B, that we can compare, but it is not necessary). We will use this correlation coefficient formula: I used three colors to highlight three parts of formula. They are going to be calculated separately in three columns, and then new measure will be calculated from them.

It sounds scary, but it won´t take more than few minutes.

Here are the formulas for columns:

• Green = (Table1[x values]-average(Table1[x values]))*(Table1[y values]-average(Table1[y values]))
• Blue = (Table1[x values]-average(Table1[x values]))^2
• Red = (Table1[y values]-average(Table1[y values]))^2 And this is the formula for correlation measure:

Correl = sum(Table1[Green])/(sqrt(sum(Table1[Blue]))*(sqrt(sum(Table1[Red])))) The values can be seen in visuals, where we can also compare both groups. Obviously, the A group is more correlated then B group. 