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MattAtBP
Frequent Visitor

Split multiple columns and 'join/assign'

Hi,

Recently got a data set that has multiple columns, each contain mulitiple values separated by pipe. I'm trying to separate them out, but then assign as shown below. The first instance / value of column one, matches to the first instance / value in second column, 2nd matches to second etc etc. Apologies if I'm not explaining it very well - i'm hoping the picture below does a better job.

 

split and assign.png

1 ACCEPTED SOLUTION
slorin
Super User
Super User

Hi,  @MattAtBP 

 

= Table.FromColumns(
{
List.Combine(List.Transform(YourSource[Risk ID], each Text.Split(_, " | "))),
List.Combine(List.Transform(YourSource[Risk Title], each Text.Split(_, " | ")))
},
{"Risk ID", "Risk Title"}
)

then sort by ID

 

Stéphane

 

View solution in original post

6 REPLIES 6
MattAtBP
Frequent Visitor

Thank you all @slorin @Omid_Motamedise @ThxAlot  for your responses - all three appoaches worked well.

Omid_Motamedise
Super User
Super User

Hi @MattAtBP  

This is solution for your question, just copy it and past it into the advance editor

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMq4xrbFU0lFyrHGqcVaK1YlWMqoxAfJdalzBPMMasxrzGgugiFuNe41HjadSbCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Risk ID" = _t, #"Risk Title" = _t]),
    split = Table.TransformColumns(Source,{{"Risk ID", each Text.Split(_,"|")}, {"Risk Title",each Text.Split(_,"|")}}),
    merged = Table.CombineColumns(split,{"Risk ID", "Risk Title"},List.Zip,"Merged"),
    #"Expanded Merged" = Table.ExpandListColumn(merged, "Merged"),
    Custom1 = Table.SplitColumn(#"Expanded Merged","Merged", each _,{"ID","Title"}),
    #"Sorted Rows" = Table.Sort(Custom1,{{"ID", Order.Ascending}})
in
    #"Sorted Rows"

 

 

If this answer helped resolve your issue, please consider marking it as the accepted answer. And if you found my response helpful, I'd appreciate it if you could give me kudos. 

Thank you!


If my answer helped solve your issue, please consider marking it as the accepted solution.

it will result in 

Omid_Motamedise_0-1731967652989.png

 


If my answer helped solve your issue, please consider marking it as the accepted solution.

Its going to convert 

Omid_Motamedise_0-1731967605453.png

 

to this one

 

Omid_Motamedise_1-1731967618704.png

 

 


If my answer helped solve your issue, please consider marking it as the accepted solution.
ThxAlot
Super User
Super User

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("RYy7DsIwDEV/xcrMwhvmIjGBQOpWdTCpC1bTGCUOCCkfT4CB8R6dc5vGzPMyb83EnEQC7FARzgkd6wsy7EmV/RVUBMR1hRxFgb1SoKjUmXbSmFlelLyS8Z4Kh0sgHOJHJX1KGEAeFJzgT57mVV7nTQlqsjfPFl3Hfc82OWUqWSVRv0ny5aPmkf7rgDYI9MgumrZ9Aw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Risk ID" = _t, #"Risk Title" = _t]),
    #"Transformed rows" = List.Transform(Table.ToRows(Source), (row) => Table.FromColumns(List.Transform(row, each List.Transform(Text.Split(_, "|"), Text.Trim)), {"Risk ID","Risk Title"})),
    Combined = Table.Combine(#"Transformed rows")
in
    Combined

ThxAlot_0-1731964574366.png



Expertise = List.Accumulate(


        {Days as from Today},


        {Skills and Knowledge},


        (Current, Everyday) => Current & Day.LearnAndPractise(Everyday)


)



slorin
Super User
Super User

Hi,  @MattAtBP 

 

= Table.FromColumns(
{
List.Combine(List.Transform(YourSource[Risk ID], each Text.Split(_, " | "))),
List.Combine(List.Transform(YourSource[Risk Title], each Text.Split(_, " | ")))
},
{"Risk ID", "Risk Title"}
)

then sort by ID

 

Stéphane

 

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