dax

问题 I have been presented here with a bizarre exploitation of VAR function. So far I have encountered VAR in the beginning of the measure, right after the equal sign. See the code below: Expected Result = SUMX ( VALUES ( Unique_Manager[Manager] ), VAR SumBrand = CALCULATE ( SUM ( Budget_Brand[BudgetBrand] ) ) VAR SumProduct = CALCULATE ( SUM ( Budget_Product[BudgetProduct] ) ) RETURN IF ( ISBLANK ( SumProduct ), SumBrand, SumProduct ) ) Here VAR is nested deeply inside the measure code. Needless

问题 Set up: Similar to this question on a MSDN forum, I have a measure that switches between various other measures (some of them much more complex than others). The measure looks like this (my actual measure has more cases): VariableMeasure = VAR ReturnType = SELECTEDVALUE ( ParamReturnType[ReturnType] ) SWITCH ( ReturnType, "NAV", [Nav], "Income", [Income], "ROI", [Roi], "BM", [Benchmark], BLANK () ) Context: The reason for the switching measure is to have the ability to choose which measures

问题 I am trying to replicate Excel formula to PowerBI.Which is Is There any DAX to perform this calculation((1-0.2)*B2+0.2*C2). Thanks. 回答1: There no inherent way to do relative row reference in DAX, so you need to explicitly tell it which row to reference. CalculatedColumn = VAR PrevDate = MAXX ( FILTER ( Table1, Table1[Date] < EARLIER ( Table1[Date] ) ), Table1[Date] ) VAR B = LOOKUPVALUE ( Table1[B], Table1[Date], PrevDate ) VAR C = LOOKUPVALUE ( Table1[C], Table1[Date], PrevDate ) RETURN ( 1

问题 I am learning DAX and confused about the RANKX() in PowerBI. Here is my data: And here is my measure: Rank = RANKX( ALL(RankDemo[Sub Category]), CALCULATE(SUM(RankDemo[My Value]))) Here is my visual: The RANKX() works fine, but the field [My Value] has to be summed in the PowerBI field setting: If I choose Don't Summarize , the rank will be all 1. Anyone could explain this? What does the Sum have to do with the RANKX() or CALCULATE() in DAX. Thanks. 回答1: The problem you are experiencing has

问题 I use a custom calculated table for the header which was an answer of a my previous question: https://stackoverflow.com/a/61469905/5950313 The measure AN is calculated within the following script: The goal of the dimensionmeasure is to calculate the count of rows from fact_an cumul of 12 months where Fact_AN[Vitesse_Transf_Mois]<= SELECTEDVALUE(Dim_VieillissementAN[ID_Tranche]) AN = VAR a = SELECTEDVALUE(Dim_DateFicheAgent[ID_DateFicheAgent]) VAR b =SELECTEDVALUE('Seniority banking'[banking

问题 I am working on a multi-tab dashboard for commercial stores related variables with a star schema. I have many tabs which all feed from different tables and are all linked through a table ("Slicer_table") that feeds the slicer in every tab and is related to each table through a key of a concatenation of descriptive variables of the stores. In one of those tabs, I calculate a rate between some event and the total number of clients. For this calculus, I use 2 tables, one which feeds all the

问题 I have two tables as shown in the image below. What I want to do is get Table 3 to look up table 2 and show what exercise was being done during the relevant minutes. For example Participant A on the 01/04/2020 did 4 runs (Run 1, 2, 3 & 4) each lasting 5 mins. So in table 3 Min01,02,03,04,05 would have Run 1 in the 'added column' and Min06,07,08,09,10 would have Run 2 etc. I have added in the Total exercise Y/N column as the 'Total exercise' will dictate the start and end of exercise for each

问题 Should we construct bridge tables with DAX or M? Picture stolen from here It seems very tempting to use DAX. With DAX the code is short and clear: IDList = DISTINCT( UNION( DISTINCT(Table1[ID]) ,DISTINCT(Table2[ID]) )) Moreover, DAX tables do not need to be loaded as M tables. However I wonder if advantage of DAX over M is not illusory? M seems to load once and DAX seems to be calculated on the fly, maybe anytime, over and over? 回答1: DAX calculated tables are re-calculated if any of the

问题 I have a table Staff Booking containing Start date and End Date for a job. I also have a calculated table filed with Date Range 2 = CALENDAR(MIN('Staff Booking'[Start Date]), MAX('Staff Booking'[End Date])) I want to eventually make a relationship between these two table such that: 1) When the date slicer range is defined, the jobs that overlap the slicer are filtered (using the start dat and end date columns) 2) And for the jobs that overlap, if the start date < min(slicer date) then start

问题 I have a table Staff Booking containing Start date and End Date for a job. I also have a calculated table filed with Date Range 2 = CALENDAR(MIN('Staff Booking'[Start Date]), MAX('Staff Booking'[End Date])) I want to eventually make a relationship between these two table such that: 1) When the date slicer range is defined, the jobs that overlap the slicer are filtered (using the start dat and end date columns) 2) And for the jobs that overlap, if the start date < min(slicer date) then start