Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello devs,
In my two top 100 below :
If the name is in the two tables (Netflix and IMDB in the column PrimaryTitle), please put it in a new tables (Film who are in the two top 100). I don't want to use Power Query but as a beginner, i don't know if it's possible to do it with DAX or with the different Rapport (as a merge tables charts or idk).
Please help me to do it !
Thank you in advance for your help,
EnBRNanda.
Solved! Go to Solution.
Hi @enBRNanda ,
You can create a calculated table as below to get it, please find the details in the attachment.
Table =
UNION (
SELECTCOLUMNS (
FILTER ( 'Table1', 'Table1'[Personnalise] IN { "NETFLIX", "IMDB" } ),
"primaryTitle", 'Table1'[primaryTitle]
),
SELECTCOLUMNS (
FILTER ( 'Table2', 'Table2'[Personnalise] IN { "NETFLIX", "IMDB" } ),
"primaryTitle", 'Table2'[primaryTitle]
)
)
Best Regards
Hi @enBRNanda ,
You can create a calculated table as below to get it, please find the details in the attachment.
Table =
UNION (
SELECTCOLUMNS (
FILTER ( 'Table1', 'Table1'[Personnalise] IN { "NETFLIX", "IMDB" } ),
"primaryTitle", 'Table1'[primaryTitle]
),
SELECTCOLUMNS (
FILTER ( 'Table2', 'Table2'[Personnalise] IN { "NETFLIX", "IMDB" } ),
"primaryTitle", 'Table2'[primaryTitle]
)
)
Best Regards
Hi:
Here is a couple of workarounds on the attached file. I hope this helps..
https://drive.google.com/file/d/1lHhLDuUPKMDPgtGfBHsq_PnucshUSLRn/view?usp=sharing
The Match Table and Match table are the ones to look at. INTERSECT would usually work but our column names are a bit different, so it did not.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
14 | |
11 | |
10 | |
10 | |
9 |
User | Count |
---|---|
18 | |
13 | |
12 | |
11 | |
8 |