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.
Hi all,
It must be very easy, but I just can't figure it out. Thanks in advance.
I want to make a measure to sumx the savings in table "All Project (Install), and show it in Maxtrix visual.
All Project (Install) is having all the Measure installed (e.g. APP, BANA, ORA)
Name Converter is a 2 columns table having the full name and short form (e.g. APP --> APPLE, BANA--> BANANA, etc).
"Carbon Saving" is having Annual (CO2) figures (e.g APPLE --> 2.5, BANANA --> 1.8)
The relationship between Name Converter and Carbon Saving is dotted line (inactive?). I have used the relationship for some other projects.
Can we make Measure if we don't have "Direct relationship" between "All Project" and "Carbon Saving"?
Thank you very much.
Solved! Go to Solution.
Assuming your tables are structured as follows:
Here's an example measure that sums the savings based on the indirect relationship:
TotalSavings =
SUMX(
'All Project (Install)',
LOOKUPVALUE(
'Carbon Saving'[Annual (CO2)],
'Name Converter'[Short Form],
'All Project (Install)'[Project]
)
)
This measure uses the SUMX function to iterate over each row in the "All Project (Install)" table. Inside the SUMX, the LOOKUPVALUE function is used to find the corresponding "Annual (CO2)" value from the "Carbon Saving" table based on the indirect relationship through the "Name Converter" table.
Make sure to replace 'All Project (Install)', 'Carbon Saving', 'Name Converter', 'Project', 'Short Form', and 'Annual (CO2)' with the actual names of your tables and columns.
Note: When working with inactive relationships, it's essential to consider the context in which the measure is used, as the inactive relationship might not be automatically traversed in all situations. If you encounter issues, you may need to use functions like USERELATIONSHIP or adjust the model relationships.
Assuming your tables are structured as follows:
Here's an example measure that sums the savings based on the indirect relationship:
TotalSavings =
SUMX(
'All Project (Install)',
LOOKUPVALUE(
'Carbon Saving'[Annual (CO2)],
'Name Converter'[Short Form],
'All Project (Install)'[Project]
)
)
This measure uses the SUMX function to iterate over each row in the "All Project (Install)" table. Inside the SUMX, the LOOKUPVALUE function is used to find the corresponding "Annual (CO2)" value from the "Carbon Saving" table based on the indirect relationship through the "Name Converter" table.
Make sure to replace 'All Project (Install)', 'Carbon Saving', 'Name Converter', 'Project', 'Short Form', and 'Annual (CO2)' with the actual names of your tables and columns.
Note: When working with inactive relationships, it's essential to consider the context in which the measure is used, as the inactive relationship might not be automatically traversed in all situations. If you encounter issues, you may need to use functions like USERELATIONSHIP or adjust the model relationships.
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 |
---|---|
10 | |
9 | |
8 | |
8 | |
8 |
User | Count |
---|---|
13 | |
12 | |
11 | |
10 | |
8 |