Forum Discussion
Calculating Uptime
This is the main dataset I have below, and then I have another table with the daily operational time. I then Merge both in a new table with the Date as a common column.
Hi kasfour
If daily operational time is always 1440 minutes, you can divide downtime by 1440 directly. For example,
Measure = divide(sum('Table'[Downtime]),1440)
If you want to calculate it for each service separately, you can add Service column to the same visual, then try measure
Measure = calculate(divide(sum('Table'[Downtime]),1440), allexcept('Table', 'Table'[Service]))
Best Regards,
Jing
- kasfour3 years agoHelper I
I see your point. However, the problem I am facing, is in the case I had two services down on the same day. So I log them in two seperate rows with the same date. So, in return the date is duplicated in the month range. Example date (8/25/2022) in the previous screenshot