Converting text (Replacing values) within multiple columns in Power Query

[dkernen]

Good morning!  I have a simple file I need to massage and I would like to learn how to do it more efficiently.  I have four columns that have values that all begin with "Yes" (Yes please enter by whom, Yes please enter which physician, etc), that I want to just change to "Yes".  Here is a snippit of my multi-step process.

#"Replaced Value UMD" = Table.ReplaceValue(#"Reordered Columns","Yes (please enter by whom):","Yes",Replacer.ReplaceText,{"UMD?"}),
#"Replaced Value MD" = Table.ReplaceValue(#"Replaced Value UMD","Yes (please enter which physician):","Yes",Replacer.ReplaceText,{"MD?"}),
#"Replaced Value BD Early" = Table.ReplaceValue(#"Replaced Value MD","Yes (please explain):","Yes",Replacer.ReplaceText,{"BDEarlyConv?"}),
#"Replaced Value DCD Pron" = Table.ReplaceValue(#"Replaced Value BD Early","Yes (please explain):","Yes",Replacer.ReplaceText,{"DCDPronIssue?"})

Would you be able to show me how to use ReplaceValue with some kind of "starts with" functionality?

Files attached below.

PBIX

Sample Data

 Thank you in advance!!
@ReplaceValues

[Greg_Deckler]

@dkernen Could you just split the columns by the first space and dump the extra columns?

[dkernen]

Greg - thank you for you swift reply!  Definitely I could strip out anything after the first space (if a space exists).  Are you suggesting that  I create new dummy columns, then delete the ones I don't need, and then rename the new one?  I was perhaps hoping I could do it all in one step.  Is that not possible?

@Greg_Deckler  

[v-yingjl · Accepted solution]

Hi @dkernen ,

You can try this query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUYpMLVbQKMhJTSxOVUjNK0ktUkiqVCjPyM/VtMIqW56RmZyhUJBRWZyZnJmYh6mqoiAnMROfeKxOtJITUBaCcOkFK3MeGAfGAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Category = _t, UMD = _t, MD = _t, BDEarlyConv = _t, DCDPronIssues = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Category", type text}, {"UMD", type text}, {"MD", type text}, {"BDEarlyConv", type text}, {"DCDPronIssues", type text}}),
    #"AllReplace" = 
        [
            #"Yes (please enter by whom):"= "Yes",
            #"Yes (please enter which physician):" = "Yes",
            #"Yes (please explain):" = "Yes"
        ],
    #"Replace Value" = 
        Table.TransformColumns(
            #"Changed Type",
                {
                    {"UMD", each Record.FieldOrDefault(#"AllReplace",_,_),type text},
                    {"MD", each Record.FieldOrDefault(#"AllReplace",_,_),type text},
                    {"BDEarlyConv", each Record.FieldOrDefault(#"AllReplace",_,_),type text},
                    {"DCDPronIssues", each Record.FieldOrDefault(#"AllReplace",_,_),type text}
                }
        )
in
    #"Replace Value"

Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Greg_Deckler]

@dkernen 1 Step:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqkwtVkgsTklLLFaK1YFyk3ISFRKBZIpCamJKIkI8JRskkZMGlIQjpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "Column1", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"Column1.1"})
in
    #"Split Column by Delimiter"