From this data set, I can see that there are only duplicates in NVE when LHM-Nr. Your goal is to remove those duplicate rows so there are only unique rows in your table. Microsofts Power BI is a dynamic data visualization software application that primarily emphasizes business intelligence. Open Power BI. :( My attached small table shows my duplicate values and how I . Using Group By on the client number and removing any that are = 1I can share this query if needed, I do not really know M and its taken me a while to get to this stage! Is there a way in which one of them return 100 and the others return 0, or something like that? Client Number Logged On15500 12/10/202015500 31/07/202010306 12/10/202010306 09/10/202013954 09/10/202013954 02/10/202015806 09/10/202015806 11/09/202013763 09/10/202013763 17/09/202016017 09/10/202016017 02/10/202015347 08/10/202015347 23/07/202015347 14/07/202015386 07/10/202015386 17/07/202015238 07/10/202015238 01/07/202015388 07/10/202015388 17/07/20209932 07/10/20209932 17/07/202015904 07/10/202015904 24/09/202015823 07/10/202015823 02/10/202015823 14/09/202015779 02/10/202015779 09/09/202015990 02/10/202015990 12/08/202012643 02/10/202012643 10/08/202015789 30/09/202015789 10/09/202015914 29/09/202015914 25/09/202014786 24/09/202014786 30/07/202012757 17/09/202012757 16/09/202010393 16/09/202010393 25/06/20207965 15/09/20207965 14/09/202015446 14/09/202015446 27/07/202014293 10/09/202014293 29/07/202015770 09/09/202015770 08/09/202010382 04/09/202010382 18/08/202015749 04/09/202015749 28/08/202015387 01/09/202015387 17/07/20209066 14/08/20209066 22/07/202015222 13/08/202015222 29/06/202015452 28/07/202015452 27/07/202015395 17/07/202015395 01/07/202015215 14/07/202015215 29/06/202015230 01/07/202015230 30/06/202015232 01/07/202015232 30/06/202015240 01/07/202015240 25/06/202015219 30/06/202015219 29/06/202010623 30/06/202010623 29/06/2020. I have looked at this question and the related article and solution https://community.powerbi.com/t5/Power-Query/Grouping-Date-sets-within-a-month/m-p/1428838#M44645. In other words, you can delete duplicate rows based on the column value.

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