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van_r
Frequent Visitor

Transform Data from Columns to List

I have a data set that has a list of information with columns marking "yes" if that item is applicable. In order to get the funtionality I want from a visualization, I need to transform the data to be a list. Below is an example with dummy data. Is this possible in PBI or would I have to fix it in the raw data first?

PictureThis_screenshot_20200604_144133.jpg

1 ACCEPTED SOLUTION
yingyinr
Community Support
Community Support

Hi @van_r ,

You can apply some steps in Power Query Editor to achieve it, the specific codes as below:

1. Unpivot the column "Item A",''Item B","Item C" and "Item D"

2. Filter the records which the value is "Yes"

3. Remove the new unpivot column "Value"

4. Rename the new unpivot column "Attribute" as "Item"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8kstV4jML8pW0lGKTC0GkhAEYsfqRCs5Z2QmJ6bnIwThykCyjiU5iXkliehSUNngxDwFt6LEvOTM4mQUE5DMD8gvApmRgmIxSH8sAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [City = _t, #"Item A" = _t, #"Item B" = _t, #"Item C" = _t, #"Item D" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"City", type text}, {"Item A", type text}, {"Item B", type text}, {"Item C", type text}, {"Item D", type text}}),
    #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Item A", "Item B", "Item C", "Item D"}, "Attribute", "Value"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Only Selected Columns", each ([Value] = "Yes")),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Value"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Attribute", "Item"}})
in
    #"Renamed Columns"

unpivot.JPG

Best Regards

Rena

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

View solution in original post

2 REPLIES 2
yingyinr
Community Support
Community Support

Hi @van_r ,

You can apply some steps in Power Query Editor to achieve it, the specific codes as below:

1. Unpivot the column "Item A",''Item B","Item C" and "Item D"

2. Filter the records which the value is "Yes"

3. Remove the new unpivot column "Value"

4. Rename the new unpivot column "Attribute" as "Item"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8kstV4jML8pW0lGKTC0GkhAEYsfqRCs5Z2QmJ6bnIwThykCyjiU5iXkliehSUNngxDwFt6LEvOTM4mQUE5DMD8gvApmRgmIxSH8sAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [City = _t, #"Item A" = _t, #"Item B" = _t, #"Item C" = _t, #"Item D" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"City", type text}, {"Item A", type text}, {"Item B", type text}, {"Item C", type text}, {"Item D", type text}}),
    #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"Item A", "Item B", "Item C", "Item D"}, "Attribute", "Value"),
    #"Filtered Rows" = Table.SelectRows(#"Unpivoted Only Selected Columns", each ([Value] = "Yes")),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Value"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Attribute", "Item"}})
in
    #"Renamed Columns"

unpivot.JPG

Best Regards

Rena

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

View solution in original post

parry2k
Super User III
Super User III

@van_r  Use unpivot

 

- transform data
- select city column in the table
- right-click, unpivot other columns it will add two columns, attribute, and value, rename these as per your requirement
- close and apply

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