Forum Discussion
Percentile calculation issue
Hi Seira088 ,
You can check if there is a 0 in the field 'Consolidated Data'[Value] in the Query Editor, and if so, replace it with null. Or have you made some other conversions?
If it doesn't meet your requirement, kindly share your sample data if you don't have any Confidential Information.
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi v-joesh-msft ,
I actually filtered out 0 values. so no 0 value is present in the 'Consolidated Data'[Value] column.
- v-joesh-msft6 years agoSolution Sage
Hi Seira088 ,
Could you share your sample data for us to have a test if you don't have any Confidential Information?
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.- Seira0886 years agoFrequent Visitor
Hi v-joesh-msft ,
here's the data:Data Date Value Data 1 06/08/2019 0:00 8.9 Data 1 07/08/2019 0:00 12.8 Data 1 08/08/2019 0:00 394.6 Data 1 09/08/2019 0:00 427.9 Data 1 10/08/2019 0:00 771.2 Data 1 11/08/2019 0:00 1599.8 Data 1 12/08/2019 0:00 799.7 Data 1 13/08/2019 0:00 5253.6 Data 1 15/08/2019 0:00 5972.6 Data 1 16/08/2019 0:00 6472.5 Data 1 17/08/2019 0:00 6611.5 Data 1 18/08/2019 0:00 13257.2 Data 1 19/08/2019 0:00 6631 Data 1 20/08/2019 0:00 6632.7 Data 1 21/08/2019 0:00 6651.5 Data 1 22/08/2019 0:00 7063.5 Data 1 23/08/2019 0:00 7064.4 Data 1 24/08/2019 0:00 7675.8 Data 1 25/08/2019 0:00 15892.8 Data 1 26/08/2019 0:00 7947.1 Data 1 27/08/2019 0:00 7948.8 Data 1 28/08/2019 0:00 8048.1 Data 1 29/08/2019 0:00 8094.8 Data 1 30/08/2019 0:00 8276.2 Data 1 31/08/2019 0:00 8291.5 Data 1 01/09/2019 0:00 17500.8 Data 1 02/09/2019 0:00 8965.3 Data 1 03/09/2019 0:00 8967.9 Data 1 05/09/2019 0:00 9013.4 Data 1 06/09/2019 0:00 9014 Data 1 07/09/2019 0:00 9028.1 Data 1 08/09/2019 0:00 18056.8 Data 1 09/09/2019 0:00 9033.2 Data 1 10/09/2019 0:00 9033.7 Data 1 11/09/2019 0:00 9061.1 Data 1 12/09/2019 0:00 9111.6 Data 1 13/09/2019 0:00 9151.4 Data 1 14/09/2019 0:00 9154.8 Data 1 15/09/2019 0:00 18451.6 Data 1 16/09/2019 0:00 9317.5 Data 1 17/09/2019 0:00 9318.7 Data 1 18/09/2019 0:00 9341 Data 1 19/09/2019 0:00 9370.3 Data 1 20/09/2019 0:00 9392.1 Data 1 21/09/2019 0:00 9406 Data 1 22/09/2019 0:00 18816.4 Data 1 23/09/2019 0:00 9408.1 Data 1 24/09/2019 0:00 9409.5 Data 1 25/09/2019 0:00 9514 Data 1 26/09/2019 0:00 9719.2 Data 1 27/09/2019 0:00 9776.2 Data 1 28/09/2019 0:00 9804.6 Data 1 29/09/2019 0:00 19894.4 Data 1 30/09/2019 0:00 9949.9 Data 2 01/08/2019 0:00 9383.1 Data 2 02/08/2019 0:00 9383.1 Data 2 03/08/2019 0:00 9372.5 Data 2 04/08/2019 0:00 18723.6 Data 2 06/08/2019 0:00 9353.6 Data 2 07/08/2019 0:00 9558.1 Data 2 08/08/2019 0:00 10420.9 Data 2 09/08/2019 0:00 10626.5 Data 2 10/08/2019 0:00 10762.1 Data 2 11/08/2019 0:00 21776.8 Data 2 12/08/2019 0:00 11037.3 Data 2 13/08/2019 0:00 11095.6 Data 2 15/08/2019 0:00 11419.9 Data 2 16/08/2019 0:00 11550.3 Data 2 17/08/2019 0:00 11684.6 Data 2 18/08/2019 0:00 23595.2 Data 2 19/08/2019 0:00 11968 Data 2 20/08/2019 0:00 12070.5 Data 2 21/08/2019 0:00 12245.1 Data 2 22/08/2019 0:00 12348.1 Data 2 23/08/2019 0:00 12455.8 Data 2 24/08/2019 0:00 12577.1 Data 2 25/08/2019 0:00 25384.2 Data 2 26/08/2019 0:00 12817.3 Data 2 27/08/2019 0:00 12917.5 Data 2 28/08/2019 0:00 13025.3 Data 2 29/08/2019 0:00 13118.7 Data 2 30/08/2019 0:00 13221 Data 2 31/08/2019 0:00 13306.4 Data 2 01/09/2019 0:00 26852.8 Data 2 02/09/2019 0:00 13577.2 Data 2 03/09/2019 0:00 13673.6 Data 2 05/09/2019 0:00 13983.9 Data 2 06/09/2019 0:00 13975 Data 2 07/09/2019 0:00 13989.5 Data 2 08/09/2019 0:00 28010.2 Data 2 09/09/2019 0:00 13966.3 Data 2 10/09/2019 0:00 14147.5 Data 2 11/09/2019 0:00 14254.6 Data 2 12/09/2019 0:00 14330.5 Data 2 13/09/2019 0:00 14422.7 Data 2 14/09/2019 0:00 14521.2 Data 2 15/09/2019 0:00 29233.6 Data 2 16/09/2019 0:00 14709.9 Data 2 17/09/2019 0:00 14818.5 Data 2 18/09/2019 0:00 14883.1 Data 2 19/09/2019 0:00 14981.5 Data 2 20/09/2019 0:00 15061.8 Data 2 21/09/2019 0:00 15139.8 Data 2 22/09/2019 0:00 30481.4 Data 2 23/09/2019 0:00 15264.3 Data 2 24/09/2019 0:00 15264.4 Data 2 25/09/2019 0:00 15250.2 Data 2 26/09/2019 0:00 15250.9 Data 2 27/09/2019 0:00 15272.2 Data 2 28/09/2019 0:00 15292.8 Data 2 29/09/2019 0:00 30617.4 Data 2 30/09/2019 0:00 15334 - v-joesh-msft6 years agoSolution Sage
Hi Seira088 ,
Based on your sample data, I get the correct result. Here is an example I made, you can see if there is a difference with your data.
If your problem is still not resolved, it will be helpful to share your sample pbix file.
Here is a demo, please try it:
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.