Forum Discussion
Subtracting two rows
Hello @ehsanbh ,
Sorry to respond late.
For question 1:
If you have about 25-30 similar parameters in this dataset, you might consider creating a measure instead of a calculated column to do this because the computed column will occupy the actual memory. The measure will be as this:
Measure = VAR a = SUM ( 'Table'[Index] ) - 1 VAR previous = CALCULATE ( MAX ( 'Table'[EL,AX12(MWh)] ), FILTER ( ALL ( 'Table' ), 'Table'[Index] = a ) ) RETURN IF ( ISBLANK ( previous ), 0, SUM ( 'Table'[EL,AX12(MWh)] ) - previous )For question 2:
Calculated column:
Column = VAR _lastrow = CALCULATE ( SUM ( 'Table'[EL,AX12(MWh)] ), FILTER ( ALL ( 'Table' ), 'Table'[Index] = EARLIER ( 'Table'[Index] ) - 1 ) ) RETURN IF ( ISBLANK ( _lastrow ), 0, [EL,AX12(MWh)] - _lastrow )The measure is as above. Here is the result by using the measure:
Attached a sample file in the next one, hopes to help you.
Best Looks,
Yingjie LiIf this post helps, please consider Accepting it as the solution to help the other members find it more quickly.
Anonymous , The information you have provided is not making the problem clear to me. Can you please explain with an example.
There is nothing like the previous row in Power BI. Now if you meter /step /year/week no. Or any incremental no or rank you can use rank or number for the previous row. The condition is that you have to move that to a new table and use that to build current previous
example in the case of week(Step/meter). A new column in week/date table
new column
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
new measures
This Week = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('order'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
Appreciate your Kudos.
Sorry to be confusing! Here is one example. I guess I have solved it half a way! I have EL, AX12 (MWh), which is electricity meter values (adding on previous value on hourly base) and I need a new column for absolute consumption for each specific hour. In this case I need to subtract the value of each row from the previous one.
I have used below DAX formula for a new calculated column and actually it works to some extent:
EL, AX12, abs
raw_measurement[EL, AX12 (MWh)]
- CALCULATE (
SUM ( raw_measurement[EL, AX12 (MWh)] ),
FILTER ( raw_measurement, raw_measurement[Index] = EARLIER ( raw_measurement[Index] ) - 1 )
)
Two questions:
1- I have around 25-30 similar parameters in this data set. Is this the way to go forward? I mean creating a calculated column for each parameter? Or is there a more efficient way to perform this?
2- As you see the first value has not been changed. How can I change the code to have zero for the first value?
Hello @ehsanbh ,
Sorry to respond late.
For question 1:
If you have about 25-30 similar parameters in this dataset, you might consider creating a measure instead of a calculated column to do this because the computed column will occupy the actual memory. The measure will be as this:
Measure = VAR a = SUM ( 'Table'[Index] ) - 1 VAR previous = CALCULATE ( MAX ( 'Table'[EL,AX12(MWh)] ), FILTER ( ALL ( 'Table' ), 'Table'[Index] = a ) ) RETURN IF ( ISBLANK ( previous ), 0, SUM ( 'Table'[EL,AX12(MWh)] ) - previous )For question 2:
Calculated column:
Column = VAR _lastrow = CALCULATE ( SUM ( 'Table'[EL,AX12(MWh)] ), FILTER ( ALL ( 'Table' ), 'Table'[Index] = EARLIER ( 'Table'[Index] ) - 1 ) ) RETURN IF ( ISBLANK ( _lastrow ), 0, [EL,AX12(MWh)] - _lastrow )The measure is as above. Here is the result by using the measure:
Attached a sample file in the next one, hopes to help you.
Best Looks,
Yingjie LiIf this post helps, please consider Accepting it as the solution to help the other members find it more quickly.
