Concatenate rows using ids

[Anonymous]

Hi, I'm a bit new to power bi so unsure how to achieve this. I have data broken into sections that I want to combine together based on an id value for the rows. I've shown what the data looks like and what I want it to look like. Any help would be appreciated, thank you!

[Anonymous]

Hi @amitchandak, thanks for the quick response. Yes unfortunately it isn't the best data. It is sorted by roster period so the first set of dates is roster 1, second set is roster 2, etc. but they are all structured the same. I've attached a slightly more accurate representation of the data as it is entered into power bi.

I'm afraid I don't quite know what you mean by copying remove rows. Ideally I'd like to do this dynamically where when a new roster period is added, the data once again rearranges itself accurately. Thanks again for your help.

[amitchandak]

@Anonymous ,

I think advice need from M expert. 

let see @ImkeF  can off some help

Table.Split and Table.SplitAt are some options, but that will be limited by page size or rows.

[ImkeF · Accepted solution]

Hi @Anonymous ,

Please copy this code and paste it to the advanced editor and follow the steps:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCjJU0lECoVidaCWXxJJUINvAUB+IjAyMDKEcIwgHpMQRKAQSNgHznIAsIyA2BfOcgSxjIDYD84KMsJtsjGyyCckmxwIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t]),
    #"Filtered Rows" = Table.SelectRows(Source, each ([Column2] <> "")),
    Custom1 = Table.Split(#"Filtered Rows",4),
    Custom2 = List.Transform(Custom1, each Table.UnpivotOtherColumns(Table.PromoteHeaders(_), {"Date"}, "Attribute", "Value")),
    Custom3 = Table.Combine( Custom2 ),
    #"Pivoted Column" = Table.Pivot(Custom3, List.Distinct(Custom3[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

Assuming that all your sets have the same length and members (A, B, C) like you stated in your example.

This is quite a common task and you might find other approaches to do it if you search for "unstacking".

[Anonymous]

Thank you so much! I was able to use your code to make it work with my data dynamically it seems. Cheers!

[amitchandak]

@Anonymous , Not great data to have.

create copy data.

Copy one remove rows after. Copy 2 remove rows after  (second date row)

Append the two data .

We can check with M expert too

@ImkeF , best ways to deal with this data