Forum Discussion
Advocate IVRank table over 3 different months
I have a table which contains employee utilisation over the course of the year - something like this:
| Employee | Year | Month | Utilisation |
| E1 | 2017 | 1 | 75% |
| E1 | 2017 | 2 | 73% |
| E1 | 2017 | 3 | 78% |
| E1 | 2017 | 4 | 64% |
| E1 | 2017 | 5 | 80% |
| E1 | 2017 | 6 | 79% |
| E2 | 2017 | 1 | 66% |
| E2 | 2017 | 2 | 69% |
| E2 | 2017 | 3 | 79% |
| E2 | 2017 | 4 | 75% |
| E2 | 2017 | 5 | 78% |
| E2 | 2017 | 6 | 79% |
| E3 | 2017 | 1 | 74% |
| E3 | 2017 | 2 | 75% |
| E3 | 2017 | 3 | 79% |
| E3 | 2017 | 4 | 84% |
| E3 | 2017 | 5 | 82% |
| E3 | 2017 | 6 | 81% |
I woud like to use two slicers to select year / month and then display three tables of results showing employees ranked by their utilisation in current, previous and previous-1 months.
So, if I select 2017 / 5 I want to see:
Current Period (2017/5)
1 E3 82%
2 E1 80%
3 E2 78%
Previous Period (2017/4)
1 E3 84%
2 E2 75%
3 E1 64%
Previous -1 Period (2017/3)
1 E3 79%
2 E2 79%
3 E1 78%
Average over Last 3 Periods
1 E3 81.66%
2 E2 77.33%
3 E1 74%
I thought I could just create a simple measure:
Rank = RANKX(ALLSELECTED(UTILISATION),CALCULATE(SUM(UTILISATION[Utilisation])))
And then filter each visual on a month / year basis but a) this is not very dynamic and I will need to manually select the month numbers for each period and b) I also found that the ranking for the average over the 3 periods all returned number 1. So I think I'm going about it the wrong way.
I need to:
1. determine from the slicer the year / month selected and then rank only the rows that match the same period
2. do the same for previous periods
3 average and rank over the 3 periods (i.e. return 1 row / result for each employee).
Any help would be greatly appreciated.
AndyTrezise,
This is a calculated column but not a measure, it calculates rank of utilisation of same year and same Month, which achieves your requirement.
Regards,
Lydia
4 Replies
AndyTrezise,
1.Create Year table containing year values(2016,2017…), create Month table containing month values(1,2,3…12). Please note that there is no relationship among the three tables(Year, Month and UTILISATION table).
2. Create the following calculated columns in the UTILISATION table.Date = DATE(UTILISATION[Year],UTILISATION[Month],1)
RankColumn = RANKX(FILTER(UTILISATION,UTILISATION[Year]=EARLIER(UTILISATION[Year])&&UTILISATION[Month]=EARLIER(UTILISATION[Month])),UTILISATION[Utilisation],,DESC,Dense)
3. Create the following measures in UTILISATION table.checkmonth = var Ldate = date(max('Year'[Year]),max('Month'[Month]),1) //Last date var Fdate = EDATE(Ldate,-2) //First date return if(min('UTILISATION'[Date])<fdate, blank(), if(min('UTILISATION'[Date])>Ldate, blank(), 1))Average = var Ldate = date(max('Year'[Year]),max('Month'[Month]),1) //Last date var Fdate = EDATE(Ldate,-2) //First date return (CALCULATE(SUM(UTILISATION[Utilisation]),DATESBETWEEN(UTILISATION[Date],Fdate,Ldate)))/3Rank = RANKX(ALLSELECTED(UTILISATION[Employee]),[Average],,DESC,Dense)
4. Create a table visual as follows, drag checkmonth to visual level filters and set its value to 1. The second table visual doesn't require to set checkmonth.
AndyTreziseThank you very much for the reply and detailed explanation.
Most of it makes sense :-)
I'm a little unsure what the 'RankColumn' measure means (i.e. I don't understand the logic - particularly the part highlighted) or how it is being used in the solution.
RankColumn = RANKX(FILTER(UTILISATION,UTILISATION[Year]=EARLIER(UTILISATION[Year])&&UTILISATION[Month]=EARLIER(UTILISATION[Month])),UTILISATION[Utilisation],,DESC,Dense).
Thanks
AndyTrezise,
This is a calculated column but not a measure, it calculates rank of utilisation of same year and same Month, which achieves your requirement.
Regards,
Lydia