Forum Discussion
Anonymous
5 years agoNot applicable
Dynamic Date Headers
I created a table with dates that updates every week. I created a straight table where I list all the fields with icons (KPI). You will see the dates are ordered as the OrderID above....
Anonymous
5 years agoNot applicable
That is correct and the KPI's (red and green icons) calculates the difference for date 1 and 2 and the same for column 5 and 6. Its a table and not a matrix visual.
MFelix
5 years agoSuper User
The issue comes when you make the unpivot of the columns, based on the date, since the date are always updating you are getting new column headers and that is not matching your data.
Believe that the best way is using the original data and then use DAX to make the calculations for the table.
Can you share a sample of the data?
- Anonymous5 years agoNot applicable
Arrears Stage
KPI1 201908 KPI2 202008 202007 201909 KPI3 20200926 KPI4 20200826 Current 0 10.00% 1 1.00% 2.00% 1.00% 0 2.00% 1 1.00% Cycle 1 0 30.00% 1 40.00% 30.00% 30.00% 0 30.00% 1 20.00% Cycle 2 0 60.00% 1 50.00% 50.00% 50.00% 0 50.00% 1 50.00% Cycle 3 0 80.00% 1 70.00% 50.00% 55.00% 0 60.00% 1 40.00% NPL 1 5.00% 0 4.00% 5.00% 1.00% 1 3.00% 0 3.00% Total 0 4.00% 1 2.00% 2.00% 4.00% 0 3.00% 1 3.00% 201908<202008 201908>202008 20200926<20200826 20200926>20200826 - Anonymous5 years agoNot applicable
MFelix
Anything else you can think of?thanks for the help thus far.
please see more data attached, should the data not be sufficient.
Stages dates rates Current 201909 1% Current 201910 2% Current 202008 3% Current 202009 4% Current 20200903 5% Current 20201003 6% Cycle 1 201909 30% Cycle 1 201910 31% Cycle 1 202008 32% Cycle 1 202009 33% Cycle 1 20200903 34% Cycle 1 20201003 35% Cycle 2 201909 40% Cycle 2 201910 41% Cycle 2 202008 42% Cycle 2 202009 43% Cycle 2 20200903 44% Cycle 2 20201003 45% Cycle 3 201909 50% Cycle 3 201910 51% Cycle 3 202008 52% Cycle 3 202009 53% Cycle 3 20200903 54% Cycle 3 20201003 55% NPL 201909 7% NPL 201910 8% NPL 202008 9% NPL 202009 10% NPL 20200903 11% NPL 20201003 12% Total 201909 20% Total 201910 21% Total 202008 22% Total 202009 23% Total 20200903 24% Total 20201003 25%