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TillerTechnical
Frequent Visitor

Run Hours difference between last entry date varied

G'day,

 

I have a feed of csv data that has running hours for multiple Assets & Components per Asset in same columns.

 

We need to trend hours per period over time for each component individually. The entries can be daily or odd periods.

 

I've tried to calculate the difference in multiple ways from some examples I have found, but this data being in list is a little trickier it seems. Appreciate any assistance or ideas of best Dax way.

 

Asset NameExternal NumberFinished DateItem Values ValueItem Values Component Name
Akuna 4MNT-0267710/11/20 7:1512711Engine - Main - PS
Akuna 4MNT-0267710/11/20 7:1512711Engine - Main - SB
Akuna 4MNT-0267710/11/20 7:152610Generator
PiparnMNT-0267610/11/20 6:014621Engine - Main
CloudbreakMNT-0267310/11/20 0:557105Engine - Main
Odyssey 1MNT-0267210/11/20 0:416976Engine - Main - PS
Odyssey 1MNT-0267210/11/20 0:416976Engine - Main - SB
Odyssey 1MNT-0267210/11/20 0:411307Generator
GundiriMNT-026719/11/20 23:34224Engine - Main
2 REPLIES 2
TillerTechnical
Frequent Visitor

Thank you @Greg_Deckler , much appreciated.

 

Your article is really useful for some future reference work. I found I couldn't get this one to work yet, but will persist as I'm sure it should. Likely some differences in the single column nature of this one.

 

Cheers

 

Drew

Greg_Deckler
Super User
Super User

@TillerTechnical See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395....
The basic pattern is:
Column = 
  VAR __Current = [Value]
  VAR __PreviousDate = MAXX(FILTER('Table','Table'[Date] < EARLIER('Table'[Date])),[Date])

  VAR __Previous = MAXX(FILTER('Table',[Date]=__PreviousDate),[Value])
RETURN
  __Current - __Previous


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