Forum Discussion
running totals count
Hi,
I'm trying to show a cumulative total count of users per month but not sure how to do this. So far i have managed to get close to it however in my data, i can have multiple users in the same month but it counts each row. e.g in April i have 8 rows but 6 unique users, in May i have 4 users all unique you the total i would expect to show in May would be 10 (6 + 4) and so on each month
I'm using the below measure:
RunningTotal = var rowdata = FTE[Month] return CALCULATE(SUM(FTE[MTD]),FILTER(FTE,FTE[Month]<=rowdata && YEAR(FTE[Month])=YEAR(rowdata)))
Can someone help me with this as i have tried different methods from posts that are out there but they all are based on total sales or costs etc but i need one similar but as a cumulative count and not double counting if that makes sense.
regards
Hetal
Try the Running Total quick measure. You could potentially replace the SUM with COUNT for the aggregator. If you can post sample data could provide a more complete answer.
I belive you are looking for a measure like this:
Running total of unique users per month = CALCULATE(DISTINCTCOUNT(TableName[UserColumn]), FILTER(ALL(TableName), TableName[Month] <= TableName[Month])))
More information on the data you are using would be helpful.
Hope this helps!
Distinct users = CALCULATE(COUNT(Table_Name[User ID]), FILTER(ALL(Table_Name), Table_Name[Month] <= MAX(Table_Name[Month])), VALUES(Table_Name[Category]))
This measure will display a table like this:
To 'fill-in the gaps' as in your example I think you would have to use a calculated column which is more difficult (and I am unsure of). This will give you the same results but leave the cells blank if no change has occured. You may be able to find a way to fuill in these gaps.
Hope this helps!
8 Replies
Try the Running Total quick measure. You could potentially replace the SUM with COUNT for the aggregator. If you can post sample data could provide a more complete answer.
I belive you are looking for a measure like this:
Running total of unique users per month = CALCULATE(DISTINCTCOUNT(TableName[UserColumn]), FILTER(ALL(TableName), TableName[Month] <= TableName[Month])))
More information on the data you are using would be helpful.
Hope this helps!
Thanks for your response. I have replaced SUM with DISTINCTCOUNT and it works. However i now need to know how to count users more than once if they appear in 2 different categories.
I have tried using COUNT and COUNTA but still doesn't count the user in each category. Is there a way round this
regards
Hetal
I don't quite understand what you mean by different categorys? Are you able to post a sample of your data and an example of the result you want to achieve?
