Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi,
I have a table with two columns named FORWARDER_CODE and DURATION, I would like to use the min max and avg functions on duration and show the results per unique forwarder_code. Any help would be greatly appreciated.
Solved! Go to Solution.
Hello,
After creating the measure, try creating a table and put forwarder code and this measure. You should see the minimum for each forwarder code. If it is not coming then you must have more than two tables in your dataset and then the issue is there in relationship between them
Try using Quick Measures and or else you can create measures of your own.
Example:
MinimumDuration = MIN(DURATION)
I have tried this, but the problem is that it shows the min value of the whole column instead of the min value per forwarder code.
Hello,
After creating the measure, try creating a table and put forwarder code and this measure. You should see the minimum for each forwarder code. If it is not coming then you must have more than two tables in your dataset and then the issue is there in relationship between them
HI @AVZ
Try this MEASURE
MEASURE= CALCULATE ( MIN ( TableName[Duration] ), ALLEXCEPT ( TableName, TableName[FORWARDER_CODE] ) )
Hi Zubair,
Thank you for your comment!
I get the same result i got earlier while using: MIN(test123[Duration]
It shows me the lowest value in the duration column, I would like it to show me the lowest value per FORWARDER_CODE.
I have forwarder codes named DPD, UPS, DHL, PNL and ROY, I would like to see the min value per each one of those codes.
Could you post a snaphot of the Table and RESULTS you are getting?
It has been resolved thanks for helping me out!
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
110 | |
96 | |
77 | |
63 | |
55 |
User | Count |
---|---|
143 | |
109 | |
89 | |
84 | |
66 |