This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hello,
My request is rather simple.
My data is simply set up like below:
| Casenum | Date | Type |
| 123 | 01/01/2022 | Vest |
| 123 | 01/01/2022 | Shoes |
| 124 | 01/03/2022 | Hat |
| 125 | 01/08/2022 | Shirt |
| 126 | 01/08/2022 | Pants |
I just want to create a new table to summarize the number of casenum's distinct count of the table above that is able to be filtered by other columns like Type or Date.
| DistinctCOuntColumn |
| 5 |
Thank you for your assistance.
Solved! Go to Solution.
I think there's 3 options that might work for you:
I think there's 3 options that might work for you:
Hi @vicky_ ,
Thank you for this solution - if I wanted to add a few columns from the original table as well in order to add relationships in the model and filter - what would have to add to that new table code? Thank you!
You can add the column name(s) between the 'Table' and "DistinctCountColumn".
e.g. if you wanted to add the Date, then it would be SUMMARIZE('Table', "Date", "DistinctCountColumn", DISTINCTCOUNT('Table'[Column1]))
which would return the number of distinct Casenums per date.
Thank you @vicky_ what expression would be used after I name the second column if I just wanted it to list the Type of clothes (from the example)?
You may have already figured this out, but you will only need to provide a name for the new column if it's an aggregate column (e.g. COUNT, SUM, AVG... etc.).
EDIT: I forgot to answer the question. Basically, you don't need an extra expression
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 32 | |
| 26 | |
| 21 | |
| 20 | |
| 15 |
| User | Count |
|---|---|
| 65 | |
| 43 | |
| 28 | |
| 24 | |
| 22 |