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Hi,
I have a table with activities of users. Each record has user name and date of the activity.
I need to create clusters of activity counts like this:
The grouping needs to be dynamic based on the Date filter selection.
In the end I need two visualisation to be able to filter each other:
The visualisation Count of Users by # of activities should represent number of users in each cluster in the Date filter context. By clicking on the bar the table List of Users should be filtered on the users in the cluster. By clicking on the user in the table the visualisation should show to which cluster the user belongs.
I can't figure out how to connect the visualisations because there is no key how to connect custom Ranges table and the original table with activities.
Could someone help?
Thanks in advance!
Solved! Go to Solution.
hI @soldous
Place [Count of Accounts] measure in the filter pane of the table viual and select "is not blank" then apply the filter
hI @soldous
Place [Count of Accounts] measure in the filter pane of the table viual and select "is not blank" then apply the filter
Thank you @tamerj1
After all, this solution was correct. I had to change the inner measure for Count Of Activities also to count users with no activity as 0.
But I need one more visual to be filtered by the ranges. The visual is for Number of Unique Daily Activities calculate like this:
UniqueUsers/Day = VAR tempTbl = ADDCOLUMNS ( SUMMARIZE ( daily_acitivity, daily_activity[Activity Date], "Users", DISTINCTCOUNT ( daily_activity[Username] ) ), "Days",1 ) RETURN SUMX ( tempTbl, [Users] )
By applying the same logic to filter this visualization from the clusters doesn't work. Do you have any idea?
Hi @tamerj1
Thank you. Is there any other way? By applying the filter I'm going to lose some needed information. Basically, there are also users without any activity in the table and I need to keep them there.
You may try
FilterMeasure =
INT ( ISBLANK ( [# of activities] ) || NOT ISBLANK ( [Count of Accounts] ) )
Place it the filter pane of the table visual and select "is" and type "1" then apply the filter
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