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I need to calculate average headcount
Will need help in arrving at below number in power bi. My excel look this
| Month | Closing Headcount | Avergae HC - Average function |
| Oct | 3585 | 3585 |
| Nov | 3588 | 3586.5 |
| Dec | 3595 | 3589.333 |
| Jan | 3601 | 3592.25 |
| Feb | 3581 | 3590 |
| Mar | 3605 | 3592.5 |
| Apr | 3613 | 3595.429 |
| May | 3616 | 3598 |
| Jun | 3672 | 3606.222 |
| Jul | 3723 | 3617.9 |
| Aug | 3749 | 3629.818 |
| Sep | 3777 | 3642.083 |
Solved! Go to Solution.
@Anonymous
1. you need to have a date column or year month column
2. you can create a column
Column = AVERAGEX(FILTER('Table','Table'[year month]<=EARLIER('Table'[year month])),'Table'[Closing Headcount])
or a measure
Measure = AVERAGEX(FILTER(all('Table'),'Table'[year month]<=max('Table'[year month])),'Table'[Closing Headcount])
pls see the attachment below
Proud to be a Super User!
Hi,
Does the Financial Year run from October to September? Also, share some data to work with (in a format that can be pasted in an MS Excel file.) or share the download link of your PBI file.
Yes we have fiscal year concept.
The solution worked which was provided on trail message.
Thanks!
@Anonymous
1. you need to have a date column or year month column
2. you can create a column
Column = AVERAGEX(FILTER('Table','Table'[year month]<=EARLIER('Table'[year month])),'Table'[Closing Headcount])
or a measure
Measure = AVERAGEX(FILTER(all('Table'),'Table'[year month]<=max('Table'[year month])),'Table'[Closing Headcount])
pls see the attachment below
Proud to be a Super User!
Thanks , this worked
you are welcome
Proud to be a Super User!
Hi @Anonymous,
Use the following formula:
Average Headcount = SUMX('Table',IF('Table'[Month]<=EARLIER('Table'[Month]),'Table'[Closing],0)) / SUMX('Table',IF('Table'[Month]<=EARLIER('Table'[Month]),1,0))
Mark this post as a solution if that works for you!
Consider taking a look at my blog: How to Export Telemetry Data from Azure IoT Central into Power BI
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
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