Very high total table results, does not average.
HELP PLEASE! Hello, I have a problem that I have been looking for the solution for several days but I can't find it. I would be very grateful if someone could help me, because it is something that I will have to use a lot and I have no way to solve it. I have a table with data, in which when I make the comparison to see the % that we have gone up or down with respect to last year gives me very high results. When I do the comparison by date I get the total result very high, but when I do it by week and month I get all the results very high, both the total and the partial results. What I want is that the total result (like the weekly and monthly ones) gives me the average of all the results that compose it, and it is impossible that these very high numbers that I get are averages. I leave here below the images in which you can see my case. I am also going to leave the formula that I am using for it, since I believe that the solution may be that the dax formula that I am using is wrong. The formula is the following: R_LYDay(B) = VAR _actual_total = SUMX( VALUES(calendar_table[Date]), SUM(R) ) VAR _LY_total = SUMX( VALUES(calendar_table[Date]), CALCULATE( SUM(R), DATEADD(calendar_table[Date], -364, DAY) ) ) RETURN DIVIDE(_actual_total - _LY_total, _LY_total, 0) When I put “R” is where the main measurement is, but for confidentiality I prefer not to share. I would be very grateful if someone could give me a solution. Thank you very much in advance.
Dyanmic Sales measure related to selected value from slicer
Hello, I need a measure that gives the sales of selected scenario and adds preivous sales i have created the folowing measure New sales = var forcast = SELECTEDVALUE(scenario[Alternative]) return CALCULATE( sum(data[Sales]), FILTER(data, data[Alternative]= "FIX" && data[Alternative]= "Forecast") the issue i have is the overlap in month may june and july (it can change depending on the chosen scenario) how can i filter the duplicate value from fix so that i have all values from var 1 or var 2 (selected scenario) and the values that dosent exist from FIX like that here the data source
