Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
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
Hi all
I need to do a simple running total with sort by date
in the below sample I need to create a measure as the same of Running Total and that counts the CODE and sort based on Date exactly like the Running Total column
| CODE | Date | Running Total |
| B | 1/07/2021 | 1 |
| A | 4/07/2021 | 2 |
| A | 7/07/2021 | 2 |
| D | 9/07/2021 | 3 |
| C | 9/07/2021 | 4 |
| F | 15/07/2021 | 5 |
| F | 20/07/2021 | 6 |
| F | 20/07/2021 | 6 |
| E | 20/07/2021 | 6 |
| Total | 31/07/2021 | 6 |
is that possible ?
Thanks all
Solved! Go to Solution.
you can try this
Measure =
VAR _total=CALCULATE(DISTINCTCOUNT('Table'[CODE]),FILTER(all('Table'),'Table'[Date]<=max('Table'[Date])))
return if (ISFILTERED('Table'[CODE]),_total, DISTINCTCOUNT('Table'[CODE]))
Proud to be a Super User!
Hi,
There are duplicate combinations of CODE and Date i.e. F and 20/7/2021. Is this by design? I ask because when these 2 columns will be dragged to the visual, you will see only 1 row for F and 20/7/2021. Is there any other column you have in your dataset which makes the CODE and Date combination unique? If not, then would you want a calculated column solution instead of a measure?
you can try this
Measure =
VAR _total=CALCULATE(DISTINCTCOUNT('Table'[CODE]),FILTER(all('Table'),'Table'[Date]<=max('Table'[Date])))
return if (ISFILTERED('Table'[CODE]),_total, DISTINCTCOUNT('Table'[CODE]))
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 |
|---|---|
| 44 | |
| 43 | |
| 38 | |
| 18 | |
| 16 |
| User | Count |
|---|---|
| 67 | |
| 63 | |
| 30 | |
| 30 | |
| 23 |