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I think this is very simple but I just can't find a way to do it.
I have a table where each row represents one Family ID and the age of a son of that family.
Lets say:
FamilyID | AgeSon
1 | 10
1 | 12
2 | 14
3 | 20
3 | 22
3 | 24
I want to create a table where each row is a family ID with a column for every age. So, using the sample above:
FamilyID | Age1 | Age2 | Age3
1 | 10 | 12
2 | 14
3 | 20 | 22 | 24
I appreciate your help.
Solved! Go to Solution.
Hi @PDRTXRA
You can put the following code to Advanced Editor in power query
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTI0UIrVgTKNwEwjENMEzDQGMo0MEEwjBBOoIBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [FamilyID = _t, AgeSon = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"FamilyID", Int64.Type}, {"AgeSon", Int64.Type}}),
Custom1 = Table.Group(#"Changed Type", {"FamilyID"}, {{"Data", each Table.AddIndexColumn(_, "Index", 1, 1), type table}}),
#"Expanded Data" = Table.ExpandTableColumn(Custom1, "Data", {"AgeSon", "Index"}, {"AgeSon", "Index"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded Data", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Expanded Data", {{"Index", type text}}, "en-US")[Index]), "Index", "AgeSon"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"1", "Age 1"}, {"2", "Age 2"}, {"3", "Age 3"}})
in
#"Renamed Columns"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @PDRTXRA
You can put the following code to Advanced Editor in power query
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTI0UIrVgTKNwEwjENMEzDQGMo0MEEwjBBOoIBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [FamilyID = _t, AgeSon = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"FamilyID", Int64.Type}, {"AgeSon", Int64.Type}}),
Custom1 = Table.Group(#"Changed Type", {"FamilyID"}, {{"Data", each Table.AddIndexColumn(_, "Index", 1, 1), type table}}),
#"Expanded Data" = Table.ExpandTableColumn(Custom1, "Data", {"AgeSon", "Index"}, {"AgeSon", "Index"}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded Data", {{"Index", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Expanded Data", {{"Index", type text}}, "en-US")[Index]), "Index", "AgeSon"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"1", "Age 1"}, {"2", "Age 2"}, {"3", "Age 3"}})
in
#"Renamed Columns"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @PDRTXRA
The first step to achieving your goal is to concatenate your ages :
you can follow these steps in POWER QUERY :
1. Change your age data type to text
2. Combine your ages with delimiter:
and paste this m code:
= Table.Group(#"Changed Type2", {"FamilyID"}, {{"age", each Text.Combine([Age son],","), type nullable text}})
3. Split the result column by comma:
4. Close and apply.
Result:
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
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