I did not use DAX to create subtotals or totals.
I simply put a Matrix Visual on the design pane, confirmed the underlying data is correct, and row and column totals are wrong.
See image below:
Any suggestions?
Thank you
Figured this out
The monthly totals represent the values for each month of that year.
The row totals represent the values for the whole year.
Bingo
Related
I am trying to create an average measure that calculates/acts the same way as the Average line in the Clustered column chart does.
The avg calculated measure that I want to create should also be a straight line showing the average of the whole year and not on the monthly level as it does now. I cannot get it to ignore the month context like the built-in average line function for column chart.
This is what I have tried:
Avg. Quantity:=AVERAGEX(VALUES(Dim_Time[Year]),[Quantity])
and then place it in the Clustered column with lines chart in the line area values box. As you can see on the picture it doesn't produce the same result.
How would the dax logic need be written to replicate the same reslut as the built-in average line function ?
Best regards,
Rubrix
The core problem is the average measure you have written is being filtered by the month axis on your chart. You have to tell the measure to ignore that filter. Change cal[Month] to whatever your x-axis column is.
avg line = AVERAGEX(
ADDCOLUMNS(
SUMMARIZE(
ALLSELECTED(cal[Month]),cal[Month]),
"#qty",CALCULATE([Quantity])),
[#qty])
I have a dataset with columns Country, State, City, Sales. I wanted to build a drill down bar chart to drill from country to State and then City, showing the average sales. My problem is that I can't find a workaround to avoid power bi calculating the average as the average of the inmediate lower heirarchy. Since I have States with much more cities than others, when I get to category Countries, the averages are wrong, because Two States with different amount of cities are weigthed the same way when summarizing to the upper level.
Is there any way to define the granularity level on which averages should be calculated or any other workaround.
Example
example dataset
For country A, I want to show the average as 16.
Currently is doing the average between States X and Y, whose averages are 17.2 and 13, giving 15.1 as a result.
Any help on how to solve this problem will be preciated. Thanks.
avgMeasure:= CALCULATE(AVERAGE(tbl[sales]),ALLEXCEPT(tbl,tbl[country]))
I have a KPI which I need to conditional format based on a dynamic condition.
Example:
KPI : A
if A > Average of A in that cluster(A column present in the table) then the cell should be RED
if A lies between some values then the cell should be AMBER
if A lies below some value then the cell should be GREEN
I was doing conditional formatting by RULES prior to this but I cant seem to find an option there which can dynamically calculate the Average cluster total or Average country total and format the cells with colours.
Even if I make this DAX expression how do I put it in the table?
Also, is it even possible by DAX?
In Power BI I am working with a matrix that shows a daily percentage.
When I add a column subtotal this sub total is summing up all the percentages for the selected days.
What I would like is that the Column sub total is showing the average percentage over the selected days.
Picture of the matrix
Thanks a lot for looking at my issue
Depends on how you calculate the percentage itself and on what granularity it exists in your data model, but you might want to play around with the ISFILTERED formula. Not sure what the name of the dimension ranging between 1 and 6 is in your graph, but let's call it day number. You can then do something like:
IF(ISFILTERED(day number), SUM(daily percentage), AVERAGE(daily percentage))
This checks if the daily percentage is filtered by the day number in the visual (matrix) or not. If it is, then it just takes the sum of the percentage (which is the percentage itself for any given day), otherwise it'll calculate the average percentage.
I want to display 3 measures under all the columns in a matrix visual.
Face amount, Market value are numeric columns in the table.
ConvexityWTD is a measure.
I want to calculate Prior, current and %change measures based on some condition and display them under each of the column.
I am getting the following table by keeping this arrangement:
How can I get it in the required format?