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How do I count how many months an item had demand over the forecast amount? I am an inventory planner so I forecast inventory demand for each month. I created an if statement that shows if the demand is greater for each month which is displayed as a "Y" for over forecast and "N" for under forecast but I actually want to see the number of months that the item was over forecast and under. So for example if demand for that item came in higher than the forecast for the months September, October and November then number would be 3.
Solved! Go to Solution.
@khacker3 You should be able to do something along the lines of:
Measure =
COUNTROWS(FILTER(SUMMARIZE('Table',[Month],"__Value",[Your measure Y/N]),[__Value]="Y"))
Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
@khacker3 You should be able to do something along the lines of:
Measure =
COUNTROWS(FILTER(SUMMARIZE('Table',[Month],"__Value",[Your measure Y/N]),[__Value]="Y"))
Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
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