Forum Discussion
Problem with Running Total Sum and Weeks where input = 0
- 1 year ago
So, the below is similar to what you were trying.
Rolling6WeekTotalRev_BadEngineerFilter = VAR _thisWk = MAX( Query1[Week] ) VAR _filt = FILTER( ALL( Query1[Week] ), Query1[Week] > _thisWk-6 && Query1[Week] <= _thisWk ) RETURN CALCULATE( SUM( Query1[rev] ), _filt )This works as you want when Query1[Assigned Engineer] is not used in the visual's fields.
But, it suddenly does not work correctly if we put Query1[Assigned Engineer] in the Legend, as you have highlighted in your posts.
To see what is happening, we can do a simple test. Replace our measure with the following:
Test = 1This is a simple constant, in any part of the visual where a value can be displayed, it will provide a 1. With this, our stacked columns with Query1[Assigned Engineer] in Legend looks like the below.
It's a little clearer now what the issue is. With Query1[Assigned Engineer] in Legend, it prevents any value from calculating for ( Query1[Week], Query1[Assigned Engineer] ) pairings that do not exist in our table. With the current model, it is impossible to get the result you want.
The answer is that you need to put this into a star schema. Or, at the very least, move Engineer into a separate dimension table. Below are some quick steps to do this if you are not already familiar.
First, create your dimension table. Click Modeling > New Table and do something like the below:
Engineers = ALL( Query1[Assigned Engineer] )Now, relate your new table to the original:
Your new model should now look something like this.
Next, in your stacked column visual, replace Query1[Assigned Engineer] with Engineers[Assigned Engineer] in the Legend. With this change, the following measure will work. Note it is almost identical except how we calculate the current week at the top.
Rolling6WeekTotalRev = VAR _thisWk = CALCULATE( MAX( Query1[Week] ), REMOVEFILTERS( Engineers ) ) VAR _filt = FILTER( ALL( Query1[Week] ), Query1[Week] > _thisWk-6 && Query1[Week] <= _thisWk ) RETURN CALCULATE( SUM( Query1[rev] ), _filt )
Thanks for trying to help me isjoycewang !
Your solution does not work either. I have made a sample .pbix to show the issue, but I dont understand how to upload it. I get "The file type (.pbix) is not supported." when I try to drag & drop.
In the report the upper graph shows total number of rev each week, and the bottom the running total sum for 6weeks. If we take week 6 as an example. The Rolling sum should be: 7+9+8+6+5+5 = 40. But the "total running sum measure" calculates 36.
Since I am unable to upload the file, below is the table from my sample file:
| Week | Assigned Engineer | rev | org |
| 1 | Engineer 1 | 1 | |
| 1 | Engineer 2 | 1 | |
| 1 | Engineer 3 | 1 | |
| 1 | Engineer 4 | 1 | |
| 1 | Engineer 10 | 0 | 1 |
| 1 | Engineer 10 | 1 | |
| 2 | Engineer 1 | 0 | |
| 2 | Engineer 1 | 0 | 1 |
| 2 | Engineer 1 | 1 | |
| 2 | Engineer 5 | 0 | 1 |
| 2 | Engineer 2 | 0 | 1 |
| 2 | Engineer 2 | 1 | |
| 2 | Engineer 7 | 0 | 1 |
| 2 | Engineer 6 | 0 | 1 |
| 2 | Engineer 6 | 1 | |
| 2 | Engineer 3 | 1 | |
| 2 | Engineer 4 | 0 | |
| 2 | Engineer 4 | 0 | 1 |
| 2 | Engineer 8 | 0 | 1 |
| 2 | Engineer 9 | 0 | 1 |
| 2 | Engineer 10 | 0 | 1 |
| 2 | Engineer 10 | 1 | |
| 3 | Engineer 1 | 0 | 1 |
| 3 | Engineer 1 | 1 | |
| 3 | Engineer 5 | 0 | |
| 3 | Engineer 2 | 0 | 1 |
| 3 | Engineer 2 | 1 | |
| 3 | Engineer 7 | 1 | |
| 3 | Engineer 6 | 0 | 1 |
| 3 | Engineer 6 | 1 | |
| 3 | Engineer 8 | 0 | 1 |
| 3 | Engineer 9 | 1 | |
| 3 | Engineer 10 | 0 | 1 |
| 3 | Engineer 10 | 1 | |
| 4 | Engineer 1 | 0 | |
| 4 | Engineer 1 | 0 | 1 |
| 4 | Engineer 1 | 1 | |
| 4 | Engineer 5 | 0 | 1 |
| 4 | Engineer 5 | 1 | |
| 4 | Engineer 2 | 0 | 1 |
| 4 | Engineer 2 | 1 | |
| 4 | Engineer 7 | 0 | 1 |
| 4 | Engineer 6 | 0 | 1 |
| 4 | Engineer 6 | 1 | |
| 4 | Engineer 3 | 1 | |
| 4 | Engineer 4 | 0 | 1 |
| 4 | Engineer 4 | 1 | |
| 4 | Engineer 8 | 0 | 1 |
| 4 | Engineer 8 | 1 | |
| 4 | Engineer 10 | 0 | |
| 4 | Engineer 10 | 0 | 1 |
| 4 | Engineer 10 | 1 | |
| 5 | Engineer 1 | 0 | 1 |
| 5 | Engineer 1 | 1 | |
| 5 | Engineer 5 | 0 | 1 |
| 5 | Engineer 5 | 1 | |
| 5 | Engineer 2 | 0 | 1 |
| 5 | Engineer 2 | 1 | |
| 5 | Engineer 7 | 1 | |
| 5 | Engineer 6 | 0 | 1 |
| 5 | Engineer 6 | 1 | |
| 5 | Engineer 3 | 1 | |
| 5 | Engineer 4 | 0 | 1 |
| 5 | Engineer 4 | 1 | |
| 5 | Engineer 8 | 0 | 1 |
| 5 | Engineer 8 | 1 | |
| 5 | Engineer 10 | 0 | |
| 5 | Engineer 10 | 0 | 1 |
| 5 | Engineer 10 | 1 | |
| 6 | Engineer 1 | 0 | 1 |
| 6 | Engineer 1 | 1 | |
| 6 | Engineer 2 | 0 | 1 |
| 6 | Engineer 2 | 1 | |
| 6 | Engineer 6 | 0 | 1 |
| 6 | Engineer 6 | 1 | |
| 6 | Engineer 3 | 1 | |
| 6 | Engineer 4 | 0 | 1 |
| 6 | Engineer 4 | 1 | |
| 6 | Engineer 8 | 0 | 1 |
| 6 | Engineer 8 | 1 | |
| 6 | Engineer 9 | 0 | 1 |
| 6 | Engineer 10 | 0 | |
| 6 | Engineer 10 | 0 | 1 |
| 6 | Engineer 10 | 1 | |
| 7 | Engineer 1 | 0 | 1 |
| 7 | Engineer 1 | 1 | |
| 7 | Engineer 5 | 0 | 1 |
| 7 | Engineer 5 | 1 | |
| 7 | Engineer 2 | 0 | 1 |
| 7 | Engineer 2 | 1 | |
| 7 | Engineer 7 | 0 | 1 |
| 7 | Engineer 6 | 0 | 1 |
| 7 | Engineer 6 | 1 | |
| 7 | Engineer 4 | 0 | 1 |
| 7 | Engineer 4 | 1 | |
| 7 | Engineer 8 | 0 | 1 |
| 7 | Engineer 8 | 1 | |
| 7 | Engineer 10 | 0 | 1 |
| 7 | Engineer 10 | 1 | |
| 8 | Engineer 1 | 1 | |
| 8 | Engineer 5 | 0 | 1 |
| 8 | Engineer 5 | 1 | |
| 8 | Engineer 2 | 0 | 1 |
| 8 | Engineer 2 | 1 | |
| 8 | Engineer 7 | 0 | 1 |
| 8 | Engineer 6 | 1 | |
| 8 | Engineer 3 | 0 | 1 |
| 8 | Engineer 4 | 0 | 1 |
| 8 | Engineer 4 | 1 | |
| 8 | Engineer 8 | 0 | 1 |
| 8 | Engineer 8 | 1 | |
| 8 | Engineer 10 | 0 | 1 |
| 8 | Engineer 10 | 1 | |
| 9 | Engineer 1 | 0 | 1 |
| 9 | Engineer 1 | 1 | |
| 9 | Engineer 5 | 0 | 1 |
| 9 | Engineer 5 | 1 | |
| 9 | Engineer 2 | 0 | 1 |
| 9 | Engineer 2 | 1 | |
| 9 | Engineer 6 | 0 | 1 |
| 9 | Engineer 6 | 1 | |
| 9 | Engineer 3 | 1 | |
| 9 | Engineer 4 | 0 | 1 |
| 9 | Engineer 4 | 1 | |
| 9 | Engineer 8 | 0 | 1 |
| 9 | Engineer 8 | 1 | |
| 9 | Engineer 10 | 0 | 1 |
| 9 | Engineer 10 | 1 | |
| 10 | Engineer 1 | 0 | 1 |
| 10 | Engineer 1 | 1 | |
| 10 | Engineer 5 | 0 | 1 |
| 10 | Engineer 5 | 1 | |
| 10 | Engineer 2 | 0 | 1 |
| 10 | Engineer 2 | 1 | |
| 10 | Engineer 7 | 0 | 1 |
| 10 | Engineer 7 | 1 | |
| 10 | Engineer 6 | 0 | 1 |
| 10 | Engineer 6 | 1 | |
| 10 | Engineer 4 | 0 | 1 |
| 10 | Engineer 4 | 1 | |
| 10 | Engineer 8 | 0 | 1 |
| 10 | Engineer 8 | 1 | |
| 10 | Engineer 9 | 1 | |
| 10 | Engineer 10 | 0 | 1 |
| 10 | Engineer 10 | 1 | |
| 11 | Engineer 1 | 0 | |
| 11 | Engineer 1 | 0 | 1 |
| 11 | Engineer 1 | 1 | |
| 11 | Engineer 5 | 0 | 1 |
| 11 | Engineer 5 | 1 | |
| 11 | Engineer 2 | 0 | 1 |
| 11 | Engineer 2 | 1 | |
| 11 | Engineer 6 | 0 | 1 |
| 11 | Engineer 6 | 1 | |
| 11 | Engineer 3 | 1 | |
| 11 | Engineer 4 | 0 | 1 |
| 11 | Engineer 4 | 1 | |
| 11 | Engineer 8 | 0 | 1 |
| 11 | Engineer 9 | 1 | |
| 11 | Engineer 10 | 0 | 1 |
| 11 | Engineer 10 | 1 | |
| 12 | Engineer 1 | 0 | 1 |
| 12 | Engineer 1 | 1 | |
| 12 | Engineer 5 | 0 | 1 |
| 12 | Engineer 5 | 1 | |
| 12 | Engineer 2 | 0 | 1 |
| 12 | Engineer 2 | 1 | |
| 12 | Engineer 6 | 0 | 1 |
| 12 | Engineer 6 | 1 | |
| 12 | Engineer 4 | 0 | 1 |
| 12 | Engineer 4 | 1 | |
| 12 | Engineer 8 | 0 | 1 |
| 12 | Engineer 8 | 1 | |
| 12 | Engineer 9 | 0 | 1 |
| 12 | Engineer 10 | 0 | 1 |
| 12 | Engineer 10 | 1 | |
| 13 | Engineer 1 | 0 | |
| 13 | Engineer 1 | 0 | 1 |
| 13 | Engineer 1 | 1 | |
| 13 | Engineer 5 | 0 | 1 |
| 13 | Engineer 5 | 1 | |
| 13 | Engineer 2 | 1 | |
| 13 | Engineer 6 | 0 | |
| 13 | Engineer 6 | 0 | 1 |
| 13 | Engineer 6 | 1 | |
| 13 | Engineer 4 | 0 | 1 |
| 13 | Engineer 4 | 1 | |
| 13 | Engineer 8 | 0 | 1 |
| 13 | Engineer 8 | 1 | |
| 13 | Engineer 9 | 0 | |
| 13 | Engineer 10 | 0 | 1 |
| 13 | Engineer 10 | 1 | |
| 14 | Engineer 1 | 0 | 1 |
| 14 | Engineer 1 | 1 | |
| 14 | Engineer 5 | 1 | |
| 14 | Engineer 2 | 0 | 1 |
| 14 | Engineer 2 | 1 | |
| 14 | Engineer 6 | 0 | 1 |
| 14 | Engineer 6 | 1 | |
| 14 | Engineer 4 | 1 | |
| 14 | Engineer 8 | 0 | 1 |
| 14 | Engineer 8 | 1 | |
| 14 | Engineer 9 | 1 | |
| 14 | Engineer 10 | 0 | 1 |
| 14 | Engineer 10 | 1 | |
| 15 | Engineer 1 | 0 | 1 |
| 15 | Engineer 2 | 0 | 1 |
| 15 | Engineer 6 | 0 | 1 |
| 15 | Engineer 4 | 0 | 1 |
| 15 | Engineer 4 | 1 | |
| 15 | Engineer 8 | 0 | 1 |
| 15 | Engineer 8 | 1 | |
| 15 | Engineer 10 | 0 | 1 |
| 15 | Engineer 10 | 1 |
Jan Didrik
So, the below is similar to what you were trying.
Rolling6WeekTotalRev_BadEngineerFilter =
VAR _thisWk = MAX( Query1[Week] )
VAR _filt = FILTER(
ALL( Query1[Week] ),
Query1[Week] > _thisWk-6
&& Query1[Week] <= _thisWk
)
RETURN
CALCULATE( SUM( Query1[rev] ), _filt )
This works as you want when Query1[Assigned Engineer] is not used in the visual's fields.
But, it suddenly does not work correctly if we put Query1[Assigned Engineer] in the Legend, as you have highlighted in your posts.
To see what is happening, we can do a simple test. Replace our measure with the following:
Test = 1
This is a simple constant, in any part of the visual where a value can be displayed, it will provide a 1. With this, our stacked columns with Query1[Assigned Engineer] in Legend looks like the below.
It's a little clearer now what the issue is. With Query1[Assigned Engineer] in Legend, it prevents any value from calculating for ( Query1[Week], Query1[Assigned Engineer] ) pairings that do not exist in our table. With the current model, it is impossible to get the result you want.
The answer is that you need to put this into a star schema. Or, at the very least, move Engineer into a separate dimension table. Below are some quick steps to do this if you are not already familiar.
First, create your dimension table. Click Modeling > New Table and do something like the below:
Engineers = ALL( Query1[Assigned Engineer] )
Now, relate your new table to the original:
Your new model should now look something like this.
Next, in your stacked column visual, replace Query1[Assigned Engineer] with Engineers[Assigned Engineer] in the Legend. With this change, the following measure will work. Note it is almost identical except how we calculate the current week at the top.
Rolling6WeekTotalRev =
VAR _thisWk = CALCULATE( MAX( Query1[Week] ), REMOVEFILTERS( Engineers ) )
VAR _filt = FILTER(
ALL( Query1[Week] ),
Query1[Week] > _thisWk-6
&& Query1[Week] <= _thisWk
)
RETURN
CALCULATE( SUM( Query1[rev] ), _filt )