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Hi all
I created a table using summarize and distinct with intention to have unique combinations of the columns Tier 1 + Tier 2 and a percentage of 100%.
However I am getting duplicate rows as  seen below:
The percentage of that table created should be 100%, however I am getting 97%:
The difference is comming from the combination digital transformation + dashboard hubs, where it should be 23% and not 20%
How could I get the table below where the column A has no duplicates and the column B has 100%?
See attached pbix and xls with desired solution
THanks.
Solved! Go to Solution.
I put this together, I "think" you want to do a summary and then a group by.
TableTest = var _tab = SUMMARIZECOLUMNS(
    Input[Tier 1: Process Facet],
    Input[Tier 2: Activity Facet],
    INPUT[Activity ID],
    "ID", MIN(INPUT[Activity ID]),
    "perC", MIN(INPUT[%]),
    "name", MIN(Input[Name]),
    "func", MIN(Input[Function]),
    "Area", MIN(Input[Area])//,
 )
RETURN
GROUPBY(_tab, 
Input[Tier 1: Process Facet],
Input[Tier 2: Activity Facet],
    "total", SUMX(CURRENTGROUP(), [perC] ))
I put this together, I "think" you want to do a summary and then a group by.
TableTest = var _tab = SUMMARIZECOLUMNS(
    Input[Tier 1: Process Facet],
    Input[Tier 2: Activity Facet],
    INPUT[Activity ID],
    "ID", MIN(INPUT[Activity ID]),
    "perC", MIN(INPUT[%]),
    "name", MIN(Input[Name]),
    "func", MIN(Input[Function]),
    "Area", MIN(Input[Area])//,
 )
RETURN
GROUPBY(_tab, 
Input[Tier 1: Process Facet],
Input[Tier 2: Activity Facet],
    "total", SUMX(CURRENTGROUP(), [perC] ))
Hi @HotChilli
I tried
SUMX Percentage = 
var _tab = SUMMARIZECOLUMNS(
    Template[Tier 1: Process Facet],
    Template[Tier 2: Activity Facet],
    Template[Activity ID],
    Template[Name],
    Template[Function],
    Template[Area],
    Template[Activity ID],
    "perC", MIN(Template[% of your annual time in 2023 dedicated to the activity])//,
 )
RETURN
GROUPBY(_tab, 
Template[Tier 1: Process Facet],
Template[Tier 2: Activity Facet],
Template[Name],
Template[Function],
Template[Area],
    "total", SUMX(CURRENTGROUP(), [perC] ))
But gave me this error:
I made it @HotChilli !
Here is the final solution on my model
SUMX Percentage = 
var _tab = SUMMARIZECOLUMNS(
    Template[Tier 1: Process Facet],
    Template[Tier 2: Activity Facet],
    Template[Activity ID],
    Template[Name],
    Template[Function],
    Template[Area],
    "perC", MIN(Template[% of your annual time in 2023 dedicated to the activity])//,
 )
RETURN
GROUPBY(_tab, 
Template[Tier 1: Process Facet],
Template[Tier 2: Activity Facet],
Template[Name],
Template[Function],
Template[Area],
    "total", SUMX(CURRENTGROUP(), [perC] ))
Thanks for your guide !!
Hi @HotChilli
how can i include these 3 columns?
    Input[Name],
    Input[Function],
    Input[Area],
I tried but will give me an error.
Thanks a lot!
If I use the code:
SUMX Percentage = 
DISTINCT(
SUMMARIZE(
    Input,
    Input[Name],
    Input[Function],
    Input[Area],
    Input[Tier 1: Process Facet],
    Input[Tier 2: Activity Facet],
    INPUT[Merged]
))
The column Merge will have unique values, therefore the duplicate values occure when the column 'INPUT[%]' is added to the code above.
@o59393 Well, the way you are summarizing it, there are three unique values, .15, .3 and .2 which is 20%. If you add Internal Area to your summarization, then you would get 23% but your total is then 135%. Ah, add Activity ID to your summarize:
SUMX Percentage = 
DISTINCT(
SUMMARIZE(
    Input,
    INPUT[%],
    Input[Name],
    Input[Function],
    Input[Area],
    Input[Tier 1: Process Facet],
    Input[Tier 2: Activity Facet],
    INPUT[Activity ID],
    INPUT[Merged]
))
Thanks a lot, the problem is that I still have the Merged column with duplicates.
How could I have instead of 4 rows, just one and a 23%?
I am looking for something like this:
Thanks.
 
					
				
				
			
		
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