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Anonymous
Not applicable

Recursive / Iterative Calculation in Power Query

Hello Everybody,

I need your help solving a problem.

I am trying to calculate a new value of a row using the previous value of the row.

My attempts using Dax ended all in circular dependancys.

My hope is, that what I want to do is possible in Power Query using M.

I constructed following Query/Table:

Rainy1982_0-1606660926324.png

BOZ1 is some historical data, this column will not change with refresh and no new values will be added.

In order to calculate the NewValue from 24/11/20 and onward I need to take the 144 as a starting point and subtract the value in VOZ: 144 - 0,46 = 143,54. This will be my value for 24/11/20. 

The Value for 25/11/20 is 143,54-0 = 143,54 and so on.

 

I am not sure how to proceed.

With the help of Google I figured out two possible solution:

1. Write a loop as a custom function and invoke it to add a new column

or

2. Use this solution: https://stackoverflow.com/questions/57460424/iterative-calculation-in-power-query

 

Both solutions are high above my current skillset.

I hope somebody can give me some assistance, as this problem is really keeping me up at night.

 

Best Regards

Rain

1 ACCEPTED SOLUTION
ImkeF
Super User
Super User

Hi @Anonymous ,

please paste the following code into the advanced editor and follow the steps:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjLRMzTUMzIwMlDSUTKzNAaSQGSgZ2JmCARKsTpAJcYoSoyApKGJCUhhbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Datum = _t, Index = _t, BOZ1 = _t, #"VOZ Sys1" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Datum", type date}, {"BOZ1", Int64.Type}, {"VOZ Sys1", type number}, {"Index", Int64.Type}}),
    BufferedStart = Table.Buffer( Table.Sort(#"Changed Type",{{"Index", Order.Ascending}}) ),
    Initial = BufferedStart{0},
    ListGenerate = List.Generate( ()=>
    [Result = Initial[BOZ1], Counter = 0],
    each [Counter] < Table.RowCount(BufferedStart),
    each [
        Result = [Result] - BufferedStart[VOZ Sys1]{Counter},
        Counter = [Counter] + 1
    ],
    each [Result]
),
    Custom1 = Table.FromColumns(Table.ToColumns(BufferedStart) & {ListGenerate} , Table.ColumnNames(BufferedStart) & {"Result"})
in
    Custom1

 

To adapt it to your solution, you have to replace the code in the first step (Source) to a reference to oyur table.

 

Imke Feldmann (The BIccountant)

If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!

How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries

View solution in original post

3 REPLIES 3
Jimmy801
Community Champion
Community Champion

Hello @Anonymous 

 

you can apply a Table.Distinct on your Index-column and then add this formula to a custom column

try RemovedDuplicates{[Index= [Index]-1]}[BOZ1] - [VOZ Sys1] otherwise null

 

Here the complete example

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjLRMzTUMzIwMlDSUTKzNAaSQGSgY2JmCARKsTpAJcYoSoyApKGJCUhhbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Datum = _t, Index = _t, BOZ1 = _t, #"VOZ Sys1" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Datum", type date}, {"BOZ1", Int64.Type}, {"VOZ Sys1", type number}, {"Index", Int64.Type}}, "de-DE"),
    RemovedDuplicates = Table.Buffer(Table.Distinct(#"Changed Type", {"Index"})),
    #"Added Custom" = Table.AddColumn(RemovedDuplicates, "Result", each  try RemovedDuplicates{[Index= [Index]-1]}[BOZ1] - [VOZ Sys1] otherwise null )
in
    #"Added Custom"

 

The performance of this should be also very good

 

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

ImkeF
Super User
Super User

Hi @Anonymous ,

please paste the following code into the advanced editor and follow the steps:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjLRMzTUMzIwMlDSUTKzNAaSQGSgZ2JmCARKsTpAJcYoSoyApKGJCUhhbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Datum = _t, Index = _t, BOZ1 = _t, #"VOZ Sys1" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Datum", type date}, {"BOZ1", Int64.Type}, {"VOZ Sys1", type number}, {"Index", Int64.Type}}),
    BufferedStart = Table.Buffer( Table.Sort(#"Changed Type",{{"Index", Order.Ascending}}) ),
    Initial = BufferedStart{0},
    ListGenerate = List.Generate( ()=>
    [Result = Initial[BOZ1], Counter = 0],
    each [Counter] < Table.RowCount(BufferedStart),
    each [
        Result = [Result] - BufferedStart[VOZ Sys1]{Counter},
        Counter = [Counter] + 1
    ],
    each [Result]
),
    Custom1 = Table.FromColumns(Table.ToColumns(BufferedStart) & {ListGenerate} , Table.ColumnNames(BufferedStart) & {"Result"})
in
    Custom1

 

To adapt it to your solution, you have to replace the code in the first step (Source) to a reference to oyur table.

 

Imke Feldmann (The BIccountant)

If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!

How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries

Anonymous
Not applicable

Hi Imke,

thank you very much, your solution worked like a charm! 

I still have to understand the solution as a whole, but beeing able to implement it is a good starting point.

 

Best Regards

Vanessa

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