We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
when i write this formula in pbi it show same value for all rows:
what is the problem?
Solved! Go to Solution.
I think you are creating a column. You need to create a table.
Proud to be a Super User!
Hi @waleed111 ,
Are you trying to create a date dimension table in Power BI? Just as mentioned by ryan_mayu, use create table not calculated column.
datetable = CALENDAR(MIN('List View'[start date]), MAX('List View'[end date]))
If you want to create a date dimension table that are suitable for multiple date granularity, you could refer to Using a Date Dimension Table in Power BI
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Best Regards,
Dedmon Dai
This is strange
Try like
date = CALENDAR(MIN('List View'[start date]), Max('List View'[start date]))
or
date = CALENDAR(MIN('List View'[start date].date), Max('List View'[start date].date))
Can you share a sample pbix after removing sensitive data.
Hi @waleed111 ,
Are you trying to create a date dimension table in Power BI? Just as mentioned by ryan_mayu, use create table not calculated column.
datetable = CALENDAR(MIN('List View'[start date]), MAX('List View'[end date]))
If you want to create a date dimension table that are suitable for multiple date granularity, you could refer to Using a Date Dimension Table in Power BI
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Best Regards,
Dedmon Dai
I think you are creating a column. You need to create a table.
Proud to be a Super User!
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 |
|---|---|
| 54 | |
| 39 | |
| 32 | |
| 17 | |
| 15 |
| User | Count |
|---|---|
| 64 | |
| 63 | |
| 37 | |
| 36 | |
| 22 |