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basel144
New Member

Create single column for zip codes

hi,

i have data like this and want to create one column for all zip codes.  I think I can split the codes into seperate columns but after that I'm stuck.

basel144_0-1763361157328.png

 

thank you

2 ACCEPTED SOLUTIONS
PhilipTreacy
Super User
Super User

Hi @basel144 

 

Download example PBIX with data shown below

 

First, right click on the column header and select Split Column -> By delimiter

 

PhilipTreacy_5-1763364192743.png

 

 

Choose comma as the delimiter and Split At each occurrence

 

PhilipTreacy_1-1763364002996.png

 

Which gives you this

 

PhilipTreacy_6-1763364222078.png

 

 

Right click on the column header of the first column, and click on Unpivot Other Columns

 

PhilipTreacy_7-1763364248893.png

 

PhilipTreacy_8-1763364272609.png

 

Then tidy up by deleting the Attribute column and renaming the other columns

 

PhilipTreacy_9-1763364310266.png

 

Regards

 

Phil

 

 

 

 

 

 

 



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If I helped you, click on the Thumbs Up to give Kudos.


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View solution in original post

danextian
Super User
Super User

Hi @basel144 

Splitting the Address column by comma into several columns is a safe method if you don't expect more zip codes in the future than what you currently have  for each location. For future-proofing, I would use Text.Split after extracting the zip codes from the address.

danextian_0-1763374902607.png

danextian_1-1763374956617.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Jcy9DsIgGIXhWzHM3wC0/I0a4+Rk3AgDIqlNDRhAr1/4ujzDe5JjLTmm8MrFLxGMEXRGOXFgycWv5eHTVntT1KBsyPb9/g01J9BCMYrhurb2jodbDhsozvvZUKBqyNh+XGJNGczUE4ZzTL9YQFPOzHAymE9lfS7xk0sDKiWV6IwKVBPn/g==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Address = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Address", type text}}),
    #"Inserted Text After Delimiter" = Table.AddColumn(#"Changed Type", "Zip", each Text.AfterDelimiter([Address], ","), type text),
    #"Added Custom" = Table.AddColumn(#"Inserted Text After Delimiter", "Split Zip", each Text.Split([Zip], ",")),
    #"Split Zip" = Table.ExpandListColumn(#"Added Custom", "Split Zip"),
    #"Removed Columns" = Table.RemoveColumns(#"Split Zip",{"Zip"}),
    #"Extracted Text Before Delimiter" = Table.TransformColumns(#"Removed Columns", {{"Address", each Text.BeforeDelimiter(_, ","), type text}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Extracted Text Before Delimiter",{{"Split Zip", type text}})
in
    #"Changed Type1"




Dane Belarmino | Microsoft MVP | Proud to be a Super User!

Did I answer your question? Mark my post as a solution!


"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.

View solution in original post

2 REPLIES 2
danextian
Super User
Super User

Hi @basel144 

Splitting the Address column by comma into several columns is a safe method if you don't expect more zip codes in the future than what you currently have  for each location. For future-proofing, I would use Text.Split after extracting the zip codes from the address.

danextian_0-1763374902607.png

danextian_1-1763374956617.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Jcy9DsIgGIXhWzHM3wC0/I0a4+Rk3AgDIqlNDRhAr1/4ujzDe5JjLTmm8MrFLxGMEXRGOXFgycWv5eHTVntT1KBsyPb9/g01J9BCMYrhurb2jodbDhsozvvZUKBqyNh+XGJNGczUE4ZzTL9YQFPOzHAymE9lfS7xk0sDKiWV6IwKVBPn/g==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Address = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Address", type text}}),
    #"Inserted Text After Delimiter" = Table.AddColumn(#"Changed Type", "Zip", each Text.AfterDelimiter([Address], ","), type text),
    #"Added Custom" = Table.AddColumn(#"Inserted Text After Delimiter", "Split Zip", each Text.Split([Zip], ",")),
    #"Split Zip" = Table.ExpandListColumn(#"Added Custom", "Split Zip"),
    #"Removed Columns" = Table.RemoveColumns(#"Split Zip",{"Zip"}),
    #"Extracted Text Before Delimiter" = Table.TransformColumns(#"Removed Columns", {{"Address", each Text.BeforeDelimiter(_, ","), type text}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Extracted Text Before Delimiter",{{"Split Zip", type text}})
in
    #"Changed Type1"




Dane Belarmino | Microsoft MVP | Proud to be a Super User!

Did I answer your question? Mark my post as a solution!


"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.
PhilipTreacy
Super User
Super User

Hi @basel144 

 

Download example PBIX with data shown below

 

First, right click on the column header and select Split Column -> By delimiter

 

PhilipTreacy_5-1763364192743.png

 

 

Choose comma as the delimiter and Split At each occurrence

 

PhilipTreacy_1-1763364002996.png

 

Which gives you this

 

PhilipTreacy_6-1763364222078.png

 

 

Right click on the column header of the first column, and click on Unpivot Other Columns

 

PhilipTreacy_7-1763364248893.png

 

PhilipTreacy_8-1763364272609.png

 

Then tidy up by deleting the Attribute column and renaming the other columns

 

PhilipTreacy_9-1763364310266.png

 

Regards

 

Phil

 

 

 

 

 

 

 



Did I answer your question? Then please mark my post as the solution.
If I helped you, click on the Thumbs Up to give Kudos.


Blog :: YouTube Channel :: Connect on Linkedin


Proud to be a Super User!


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