Now select the Fabrikam company, select the forest, and then select service name svc1. You will now continue the journey by performing a more complex unpivot in this section, using a summarized table that includes three levels of hierarchy in.Power BI analyzes the data and shows which city or region has the highest revenue per transaction and the highest number of transactions. For example, in the sample file, try summarizing a scatter chart that shows various transactions. Then create two card visual for count with service and count without service. To generate a smart narrative of a visualization, right-click it and then select Summarize.Now create a three slicer for company, forest and servicename column.Click on the new measure to calculate system without service.ĭISTINCTCOUNT('Table 1'),ALLEXCEPT('Table 1','Table 1','Table 1')).

Click on the new measure to calculate system with service.Ĭount with service = DISTINCTCOUNT ( 'Table 1' ).So it will show company with service =1 and company without service =1, for this, we will create two measures to count with service and count without service. Here we will create three slicers for company, forest, and service name, when we select a company, forest, and service name, it will show the count of company, system, and forest without that service.įor example, if I select the company Fabrikam, the forest is and we select a service svc1 because this company has taken two services. And in another table visual add the name column and multiple occurrence measure.Now to check the measures, create two table visual, then in one table visual add name column and single occurrence measure.RETURN CALCULATE(COUNT('Data'),FILTER(a,>1)) To create another measure for the multiple occurrences, click on the new measure.RETURN CALCULATE(COUNT('Data'),FILTER(a,=1)) VAR A = SUMMARIZE('Data','Data','Count1',COUNT('Data')) Click on the New measure from the ribbon, to calculate the single occurrence name.So here we will create two measures, in both the measures it will count the names, count=1, then it is a single occurrence, and if count> 1 then it is a multiple occurrence measure. For example, here you can see AAA, BBB, CCC, and GGG are occurring multiple times, except these four names, all other names are single occurrence.

Summarize power bi