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Anonymous's avatar
Anonymous
Not applicable
6 years ago

Question on Conditional Column as Parameter

I am working on a skillset survey, and the rating is know of, beginner, intermediate, advanced and expert, and I have used a conditional column to assign values 1, 2, 3, 4, and 5. I would like to kee...
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mussaenda's avatar
mussaenda
Community Champion
6 years ago

Anonymous,

 

I have attached the pbix link from what I understood from your explanation.

Hope this helps.

https://gofile.io/?c=4Eaksj

 

BTW, I have changed your sample data just to see differences.

 

NameDepartmentProject IPMA - AProject IPMA - BProject IPMA - CProject IPMA - DProject PMP Project ITSMProject ScrumProject Prince 2 - PrincessProject Prince 2 - Change Management
MichaelDevelopment  Know of  Advanced Beginner  
KevinConsultancyAdvancedIntermediateBeginnerKnow of   Know of  
Michael 2Development  Know of  Advanced Intermediate  
Kevin 2ConsultancyKnow ofBeginnerIntermediateAdvanced  Advanced  
Michael 3Development  Expert Intermediate Beginner  
Kevin 3ConsultancyIntermediateBeginnerAdvancedAdvanced  Expert  

 

Anonymous's avatar
Anonymous
Not applicable
6 years ago

That is exactly what I was hoping to do 😄

 

Can I perhaps trouble you to explain me how to set up the query for future use?

Thank you very much!

  • mussaenda's avatar
    mussaenda
    Community Champion
    6 years ago

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ndBNDsIgEAXgqzSsu9IT+LcwjSdouiDlqSR0aCqi3l7SoDKkbFywmIR578u0rTjp/iphRC328DB2HEAuTFV8DdlHZc+fcaO8pB4qjltcNBGm70JXt6KB1xSmnaXb3bjw/8U3j+QwDVBaOvCQrC0BsIaIrlZ/sjNARp9jOf6HSLBZStaxUMvx6yL+8BwxubK1fPU5lNPLx050C3aGCBXdGw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Department = _t, #"Project IPMA - A" = _t, #"Project IPMA - B" = _t, #"Project IPMA - C" = _t, #"Project IPMA - D" = _t, #"Project PMP " = _t, #"Project ITSM" = _t, #"Project Scrum" = _t, #"Project Prince 2 - Princess" = _t, #"Project Prince 2 - Change Management" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Department", type text}, {"Project IPMA - A", type text}, {"Project IPMA - B", type text}, {"Project IPMA - C", type text}, {"Project IPMA - D", type text}, {"Project PMP ", type text}, {"Project ITSM", type any}, {"Project Scrum", type text}, {"Project Prince 2 - Princess", type any}, {"Project Prince 2 - Change Management", type any}}),
    #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Project IPMA - A", "Project IPMA - B", "Project IPMA - C", "Project IPMA - D", "Project PMP ", "Project ITSM", "Project Scrum", "Project Prince 2 - Princess", "Project Prince 2 - Change Management"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Only Selected Columns",{{"Attribute", "Project"}}),
    #"Uppercased Text" = Table.TransformColumns(#"Renamed Columns",{{"Value", Text.Upper, type text}}),
    #"Added Conditional Column" = Table.AddColumn(#"Uppercased Text", "Rank", each if Text.Contains([Value], "KNOW OF") then 1 else if Text.Contains([Value], "BEGINNER") then 2 else if Text.Contains([Value], "INTERMEDIATE") then 3 else if Text.Contains([Value], "ADVANCED") then 4 else if Text.Contains([Value], "EXPERT") then 5 else null),
    #"Changed Type1" = Table.TransformColumnTypes(#"Added Conditional Column",{{"Rank", Int64.Type}})
in
    #"Changed Type1"

     

    Anonymous,

     

    Copy this query and paste to the advanced editor in Power Query so you can see the step by step queries

    And just drag again the fields according to your needs.

    Enjoy your Power BI journey!