Forum Discussion
Removing Outliers
Is there an easy way to remove any outliers in Power BI desktop?
I am currently importing revenue from Google Analytics, but every now and then we get very large purchases that scew the averages. Could I simply apply a filter and say "avg. revenue only on the values that are under $5000"? Or maybe use a standard deviation function that we'll do this automatically for me?
That reads as: In some context (CALCULATE), is the SUM > 5000?
I think you want:
Revenue Month = CALCULATE(SUM('GA Ecommerce'[Revenue]), 'GA Ecommerce[Revenue] < 5000,PARALLELPERIOD('GA Ecommerce'[Date],0,MONTH))Hi procyon82,
Now what you need is removing outliers at daily level instead of individual transactions level, right?
If that is the case, you can add a new table to sum up the revenue at daily level by using SUMMRIZE function. I have tested it on my local environment, here is the sample expression for you reference.
DailyRevene = SUMMARIZE(Daily,Daily[Date],"Daily total",SUM(Daily[Sales]))
Then you can remove the outliers on daily level in this new created table.
Regards,
Charlie Liao
8 Replies
In the Query Editor, make sure that the column is numeric and then click on the drop down arrow in the column header and choose "Number Filters" and there you have a choice of:
Equals
Does not equal
Greater than
Greater than or equal to
Less than
Less than or equal to
Between
I guess the only downside with this is that it filters the entire query and all the columns/measures that I have. Is there a way to only apply it to a column or measure?
Yes, for that you would use a CALCULATE function (DAX). Basically:
CALCULATE(SUM([Some Column]),[Some Column] < 500000)
