The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hello!
Some questions please:
1) I have joined several tables using a common column. However, then I put columns from these tables together, there are some empty cells that appear in the joint column which do not appear in the column when I see it in its table. Why that happens and how can I fix it?
2) How can I perform IFs and replace values in a column at the dashboard level, without having to create a new column? Or it is necessary to create a new calculated column?
Thanks!
Solved! Go to Solution.
Hi @Anonymous ,
1) This is determined by the table relationship. I made an example:
My data model:
My visualization:
Maybe your data model is different from mine, but the principle is the same.
2) First, the dashboard is a concept in Power BI Service, while DAX can only be used in Power BI Desktop.
For your problem, you can try to create a measure like this:
Measure =
IF(
MAX(Table2[Public ]) = BLANK() && MAX(Table1[Index]) <> BLANK(),
"YES",
MAX(Table2[Public ])
)
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
1) This is determined by the table relationship. I made an example:
My data model:
My visualization:
Maybe your data model is different from mine, but the principle is the same.
2) First, the dashboard is a concept in Power BI Service, while DAX can only be used in Power BI Desktop.
For your problem, you can try to create a measure like this:
Measure =
IF(
MAX(Table2[Public ]) = BLANK() && MAX(Table1[Index]) <> BLANK(),
"YES",
MAX(Table2[Public ])
)
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Empty column means there is some value missing in that dimension for one of more fact.
The fact where you have that empty value. Take that and put they join key both from dim and fact and check where is fact empty or dimension empty
User | Count |
---|---|
86 | |
83 | |
34 | |
34 | |
32 |
User | Count |
---|---|
94 | |
79 | |
62 | |
54 | |
51 |