Forum Discussion
Find time between entries in same column
- 6 years ago
Hi Davidolis , amitchandak ,
The last column is the average overall.AverageX = AVERAGEX(serialN,IF(serialN[Datediff]=BLANK() && serialN[Average time]>0,serialN[Average time]))which will also work as a measure.
Let me know if you have any questions.
If this solves your issues, please mark it as the solution, so that others can find it easily. Kudos 👍are nice too.
Nathaniel
Try EARLIER
https://community.powerbi.com/t5/Desktop/Explanation-of-the-EARLIER-formula/td-p/529469
https://docs.microsoft.com/en-us/dax/earlier-function-dax
The information you have provided is not making the problem clear to me. Can you please explain with an example. If possible please share a sample pbix file after removing sensitive information.
Thanks
- Davidolis6 years agoRegular Visitor
Hi, sorry if it wasn't clear i will make an example
123456789 1.1.2018 987654321 2.5.2019 124578945 5.5.2018 123456789 4.5.2019 554123479 6.6.2019 987654321 10.11.2019 123456789 9.11.2019 An entry can show up multiple times and I need to know how long on average between each entry and then average for all. Is this helpful? I haven't attempted the proposed solutions yet, just thought i would do my part first.
- Nathaniel_C6 years agoCommunity Champion
Hi Davidolis , amitchandak ,
The last column is the average overall.AverageX = AVERAGEX(serialN,IF(serialN[Datediff]=BLANK() && serialN[Average time]>0,serialN[Average time]))which will also work as a measure.
Let me know if you have any questions.
If this solves your issues, please mark it as the solution, so that others can find it easily. Kudos 👍are nice too.
Nathaniel- Davidolis6 years agoRegular Visitor
Nathaniel_C This is great, Thank you so much!
I had some problems getting the last one to work, but it needed a ; instead of a, in the last parameter for the IF.
Thank you so much for helping me out! The examples really let me walk through it and understand how to do it. Without that table i would not have been able to recreate it...😕 Thanks again Nathan!