Forum Discussion
Monthly Average Grand Total calculation - Help needed
Hi,
In this scenario, if you include “Direction” column into your table visual, definitely your measure will be sliced by “direction”. This is how DAX works. So you need to group on month in your calculation.
AverageMeasure = CALCULATE(AVERAGEA(Direction[AV Plan]),ALLEXCEPT(Direction,Direction[Month #]))
As to show Year Average basing on number of days in your top table of this case(I assume it’s called “Direction2”), You can create a following measure:
avgMeasure = CALCULATE(sumx(Direction2, Direction2[monthDay] * Direction2[Average]) / sumx(Direction2, Direction2[monthDay]))
Best Regards
Alex
Correct, this is averaging all of the averages, which will return a different result than taking the SUM total and dividing by the total number of days. Lots of rounding issues going on. I can't figure out why your numbers are different than mine in Excel (see below).
So, basically, I'm not sure of your source data, but if you have something like this:
| MonthDays | Average |
| 31 | 70425 |
| 29 | 60138 |
| 31 | 59234 |
| 30 | 58987 |
| 31 | 58371 |
| 30 | 61831 |
| 31 | 63388 |
| 31 | 63795 |
| 30 | 69316 |
| 31 | 74747 |
| 30 | 78325 |
| 31 | 84066 |
Then create a calculated column:
MonthAverageNumber = [MonthDays] * [Average]
Then create a measure like:
MyMeasure = SUM([MonthAverageNumber]) / SUM(MonthDays)
Unfortunatelly this also gives me different result
I guess thats becouse i have several rows for each month in my data source. Here is it:
| Direction | EOM Date | AV Plan | Month # | NumberDays |
| 1 | 01.31.16 | -72,54979045 | 1 | 31 |
| 1 | 02.29.16 | -252,5844382 | 2 | 29 |
| 1 | 03.31.16 | -63,70552772 | 3 | 31 |
| 1 | 04.30.16 | -1243,54721 | 4 | 30 |
| 1 | 05.31.16 | -1693,615029 | 5 | 31 |
| 1 | 06.30.16 | -684,3135524 | 6 | 30 |
| 1 | 07.31.16 | -815,8175674 | 7 | 31 |
| 1 | 08.31.16 | -582,0372591 | 8 | 31 |
| 1 | 09.30.16 | -0,855819632 | 9 | 30 |
| 1 | 10.31.16 | -565,843631 | 10 | 31 |
| 1 | 11.30.16 | -1094,520502 | 11 | 30 |
| 1 | 12.31.16 | -1736,279441 | 12 | 31 |
| 2 | 01.31.16 | 17319,95 | 1 | 31 |
| 5 | 01.31.16 | 16387,36479 | 1 | 31 |
| 3 | 01.31.16 | 9066,485 | 1 | 31 |
| 4 | 01.31.16 | 9398,75 | 1 | 31 |
| 6 | 01.31.16 | 18324,5 | 1 | 31 |
| 2 | 02.29.16 | 14860 | 2 | 29 |
| 5 | 02.29.16 | 14084,67444 | 2 | 29 |
| 3 | 02.29.16 | 7187,5 | 2 | 29 |
| 4 | 02.29.16 | 8158,5 | 2 | 29 |
| 6 | 02.29.16 | 16100 | 2 | 29 |
| 2 | 03.31.16 | 15130 | 3 | 31 |
| 5 | 03.31.16 | 13922,29553 | 3 | 31 |
| 3 | 03.31.16 | 7310 | 3 | 31 |
| 4 | 03.31.16 | 7985 | 3 | 31 |
| 6 | 03.31.16 | 14950 | 3 | 31 |
| 2 | 04.30.16 | 16060 | 4 | 30 |
| 5 | 04.30.16 | 14338,91866 | 4 | 30 |
| 3 | 04.30.16 | 7804,128545 | 4 | 30 |
| 4 | 04.30.16 | 8077 | 4 | 30 |
| 6 | 04.30.16 | 13950 | 4 | 30 |
| 2 | 05.31.16 | 16550 | 5 | 31 |
| 5 | 05.31.16 | 14218,31442 | 5 | 31 |
| 3 | 05.31.16 | 7865,225611 | 5 | 31 |
| 4 | 05.31.16 | 8231,5 | 5 | 31 |
| 6 | 05.31.16 | 13200 | 5 | 31 |
| 2 | 06.30.16 | 17790 | 6 | 30 |
| 5 | 06.30.16 | 14962,64149 | 6 | 30 |
| 3 | 06.30.16 | 8421,097065 | 6 | 30 |
| 4 | 06.30.16 | 8416,5 | 6 | 30 |
| 6 | 06.30.16 | 12925 | 6 | 30 |
| 2 | 07.31.16 | 18160 | 7 | 31 |
| 5 | 07.31.16 | 15206,49257 | 7 | 31 |
| 3 | 07.31.16 | 8813 | 7 | 31 |
| 4 | 07.31.16 | 8549,5 | 7 | 31 |
| 6 | 07.31.16 | 13475 | 7 | 31 |
| 2 | 08.31.16 | 17090 | 8 | 31 |
| 5 | 08.31.16 | 15227,61101 | 8 | 31 |
| 3 | 08.31.16 | 9023 | 8 | 31 |
| 4 | 08.31.16 | 8836,5 | 8 | 31 |
| 6 | 08.31.16 | 14200 | 8 | 31 |
| 2 | 09.30.16 | 17959 | 9 | 30 |
| 5 | 09.30.16 | 16834,61978 | 9 | 30 |
| 3 | 09.30.16 | 9957,134789 | 9 | 30 |
| 4 | 09.30.16 | 9516 | 9 | 30 |
| 6 | 09.30.16 | 15050 | 9 | 30 |
| 2 | 10.31.16 | 19959 | 10 | 31 |
| 5 | 10.31.16 | 18445,25884 | 10 | 31 |
| 3 | 10.31.16 | 10807,13479 | 10 | 31 |
| 4 | 10.31.16 | 10101 | 10 | 31 |
| 6 | 10.31.16 | 16000 | 10 | 31 |
| 2 | 11.30.16 | 21505 | 11 | 30 |
| 5 | 11.30.16 | 19142,378 | 11 | 30 |
| 3 | 11.30.16 | 11358,5 | 11 | 30 |
| 4 | 11.30.16 | 10513,5 | 11 | 30 |
| 6 | 11.30.16 | 16900 | 11 | 30 |
| 2 | 12.31.16 | 23755 | 12 | 31 |
| 5 | 12.31.16 | 20351,58694 | 12 | 31 |
| 3 | 12.31.16 | 12161 | 12 | 31 |
| 4 | 12.31.16 | 11385 | 12 | 31 |
| 6 | 12.31.16 | 18150 | 12 | 31 |
I understand that it doesn't work becouse of derections column, but I cant figure out how to explain Power BI to sum all rows inside directions, instead of calculatiing average of total rows number....
Sorry, forgot to post my Excel. Not sure why my Excel is different than yours but I'll try again with your data.