Here is probably the simplest formula for it. You need to define a new measure that returns zero when there is no data. Define a DAX measure.ĭefault Sum measure returns a BLANK if there is no data falling into the current filter context. This is necessary to make sure that the Matrix visual shows all States regardless of whether the State exists in the Times table affected by the filters/slicers. Create separate table for slicers.įactor out the States dimension into a separate dimension table, then create a relationship with the original Times table. For each of the four tables, EmployeeNo together with ValidFrom forms a primary key. There are ways to do that, but here is probably the simplest way. A well-structured model design should include tables that are either dimension-type tables or fact-type tables. If you take a look at the first two rows of the OrgUnit table for example, this means that employee 100 was in the organizational unit Delivery from until Decemand then starting with Januin PreSales. If you want to have "zero" instead of BLANK, you need to explicitly define a DAX Measure which returns zero for no data. I have 2 tables 'Applications' and 'Discoveries' both tables have a createdon column, both createdon columns are being referenced by a dynamic calendar table called 'Calendar table'. This is because, default "Sum" summarization returns BLANK for no data, and the "Matrix" visual does not display anything for BLANK. "PersonA3" and "Vacation" in the second figure). In above examples, data with no values are missing in the matrix visualization (e.g. This makes everything work as you expect.
So, the result would show IDs 1 and 3, but it should only show 3 (I need female and veteran not female or veteran). That is, for our example of female and veteran, the graph will show any ID that is female as well as any ID that is veteran. Using two filters like, Grp = A and date filter | person_id | id | name | grp | Sick | Vacation | Work | For this video we will look at multiple fact tables. However, Power BI will only aggregate the data. |-|-|-|-|-|-|-|Īdd timeslicer or filter for date less than | person_id | id | name | grp | Sick | Vacation | Work |Īdd timeslicer or filter date for greater than | person_id | id | name | grp | Sick | Vacation | Work |Īlong with a filter on grp to show combinations of A and B or just A or B. And this visual will display the result as per slicer selection. Create new measuresum (fact amount) Drag this measure and group into table visual. Let's say you have added group column in slicers.
BI FACT TABLE TIMESLICE HOW TO
On top of having multiple fact tables, we will look at how to deal with changes in dimensions between fact tables. Now add required dimension column in slicer and create measures. We will look at modelling the data so that both fact tables can share dimensions to reduce workload. No filters | person_id | id | name | grp | Sick | Vacation | Work | 01-19-2023 07:58 AM Power BI Multiple Fact Tables For this video we will look at multiple fact tables. Here I am using Pivoted Column on the time table and using managed relationship to join to outputs into table format: Where in PowerBI, I want to show the following version of a table displayed. If this post helps, then please consider Accept it as the solution to help the other members find it more created some data:In PowerBI, is it possible two filters or slicers on two different tables such that I can filter either table or both tables and joining the data in the display? create table person( If it does not meet your expected results, can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data. Var _2=CALCULATE(SUM('Employee Wage Fact Table'),FILTER(ALL('Employee Wage Fact Table'),'Employee Wage Fact Table'=MAX('Employee Fact Table')&'Employee Wage Fact Table'=MAX('Employee Fact Table'))) Var _1=CALCULATE(SUM('Employee Fact Table'),FILTER(ALL('Employee Fact Table'),'Employee Fact Table'=MAX('Employee Fact Table')&'Employee Fact Table'=MAX('Employee Fact Table')))
0 kommentar(er)
