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This table contains several rich identifiers that should be took in consideration when calculating the running total.
Should I create a calculated column or a measure?
The thing is that when creating the measure, and adding it to a matrix, slicers dont work if I want to only see information for a specific country. If I apply a filter by country the measure shows the values for all rows with the country selected, and the other countries show the sum of the entire table, and still appear in the table instead of dissapearing.
I have a week column identifier, and I added an index column to enumerate each column them.
This is the code I was using for the measure, so the current week and the previous weeks can have their own running total taking in consideration the previous 13 weeks.
Sum of 13 Previous Weeks Total Units =
CALCULATE([Sum of Total Units],
FILTER(ALL('Table1'), 'Table1'[Index]=SELECTEDVALUE('Table1'[Index]) ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+1 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+2 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+3 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+4 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+5 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+6 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+7 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+8 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+9 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+10 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+11 ||
'Table1'[Index]=SELECTEDVALUE('Table1'[Index])+12 &&
'Table1'[Country]= SELECTEDVALUE('Table1'[Country]) && ..... (repeats for each rich identifer)
))
Thank you in advance for the guidance
Solved! Go to Solution.
@AnaCh_ , Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
with help from week Index or Rank you can can rolling measure easily
example
rank or index(if only week wise data. Use a seperate week or date Table
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format
measures
Last 13 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-13 && 'Date'[Week Rank]<=max('Date'[Week Rank])))
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
@AnaCh_ , Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
with help from week Index or Rank you can can rolling measure easily
example
rank or index(if only week wise data. Use a seperate week or date Table
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format
measures
Last 13 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-13 && 'Date'[Week Rank]<=max('Date'[Week Rank])))
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
Amitchandak,
Could you please help me now with this one?
Your help is really appreciated!
Thank you very much this was pretty useful!
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