Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
Hello Everyone ,
Need your support for making relationship,
explain you my sceanrio
i have total 4 tables and now in 4 tables i have some common columns , like ( leasing agent , Property , custom date )
i created relationship using drag and drop same columns some rellationship is active and some are not active .
on my visual i use matrix and i add multiple values from all table i add all table neccesory columns to see data now i also add 3 slicer which is filter data on 3 slicer i add property name , custom date , and leasing agent
how can i achive goal to see accurate data here is screen shots of my sceanario
can i get help to see by filter and accurate data ?
Thanks.
Hi @x0 ,
The first thing I would suggest is that you are joining the four tables using custom date and then using summarize to generate a dimension table containing leasing agent , Property , custom date.
For slicer, you can use for example var _Property = selectvalue('dimtable' Property),to get the value of slice and then match it with the data in the table, depending on the actual requirement.
This may not be the easiest way to do it, I hope it helps and good luck with everything.
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly
Hello @Anonymous
can you explain me the way to configure this setup as you suggested ?
do i need to create Column or table or you mean to say i will apply on existing table custom table ?
please give me more detail for solution
Hello @Anonymous
As of now i created custom table which can getting all table information of perticuler 3 columns for slicer value
i created the custom table using this DAX
User | Count |
---|---|
64 | |
55 | |
46 | |
31 | |
31 |
User | Count |
---|---|
84 | |
73 | |
52 | |
48 | |
43 |