Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
I have a dataset with a bunch of tables, all have at least one column which contains a value e.g. 1000000006 which maps to a sensible label name e.g. 1000000006='Call Initiated'
I've pulled the mapping data into a table in PBI which looks like the attached image.
The Schema Name is the column title, and value is what is in the cells of that column, and Label is what I want my new column value to be. So I need to use 'Schema Name' as well as 'Value' because value by itself isn't unique.
How do I create a new column in my tables, which looks at the column title, and the value to give me my new label?
Solved! Go to Solution.
Hi @Anonymous ,
In your scenario, we can create a calculated column with the CALCULATE() and FILTER() function like below:
calculate (min('mapping data'[label]),filter (all('mapping data'),'mapping data'[schema name] = "***" && 'mapping data'[value] = 'data table'[value]))Best Regards,
Teige
Hi @Anonymous ,
In your scenario, we can create a calculated column with the CALCULATE() and FILTER() function like below:
calculate (min('mapping data'[label]),filter (all('mapping data'),'mapping data'[schema name] = "***" && 'mapping data'[value] = 'data table'[value]))Best Regards,
Teige
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 50 | |
| 44 | |
| 42 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 70 | |
| 68 | |
| 33 | |
| 32 | |
| 32 |