perform logic on variable number of columns

genehiggins

Hi,

I have a table of projects that have requirements, and I'm trying to determine if all of the requirements have been met for each project. If any requirement has not been met, the project itself has not met its requirements. Regardless of the amount of requirements, there are columns for three. If a project only has one, then the other two are null and are ignored. I'm finding it difficult to only evaluate the requirements columns that have values.

The data looks like this

project	req_1	req_1_met	req_2	req_2_met	req_3	req_3_met
project_1	gleam the cube	TRUE	do the right thing	TRUE	ghosts busted	TRUE
project_2	come to america	TRUE	run the blade	TRUE
project_3	dance flashed	TRUE	groove krushed	FALSE	foot loose	TRUE

I don't know how to do this without something like a `do while` loop. Also wasn't sure if this should be done in power query.

Thanks!

edit: wow that table is ugly. Should look like this

V-yubandi-msft

Hi @genehiggins ,

Thank you for engaging with the Microsoft Fabric Community. @lbendlin response matches your requirement. Please review it when you have a chance and let us know if you need any changes.

Thank you.

lbendlin

What you are looking for is the Unpivot option - usually needed to bring Excel data into a format that is usable by Power BI.

after that it will be easy to achieve your objective in Power BI.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TY69DsIwDIRfxcrcBXgCBpiY+JmqCOXHTQppjRKH5yeNgHSwbH0n313fi1ekBxq+b0QnXEA1AXsEkzUWcD3fDmVZqjCOznO5xtk1zXlKnEDnxGh/WHbNeFugoQmBCdSEcTSqfcc8V2sdlF0FQp21y26poWaDMASVfIsqDSLRG+EZ85cf96fLIgxEDIEo/Z2l/AA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [project = _t, req_1 = _t, req_1_met = _t, req_2 = _t, req_2_met = _t, req_3 = _t, req_3_met = _t]),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"project"}, "Attribute", "Value"),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Attribute.1", "req #", "status"}),
    #"Replaced Value" = Table.ReplaceValue(#"Split Column by Delimiter",null,"req",Replacer.ReplaceValue,{"status"}),
    #"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Attribute.1"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[status]), "status", "Value")
in
    #"Pivoted Column"

How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the entire Source step with your own source.