Forum Discussion
How to merge multiple rows into one row based on section name?
- 2 years ago
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content], tx = List.Transform( List.Skip(Table.ColumnNames(Source)), (x) => {x, (tbl) => [col = List.RemoveNulls(Table.Column(tbl, x)), func = if col{0}? is text then Text.Combine(col, ",") else List.Sum(col)][func]} ), group = Table.Group(Source, "Section", tx) in group - Anonymous2 years ago
Hi GraceJinM
You can try the following.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTICYiByBlGxOhAxQyA2BmIXsDxMFIKMYAqdEHxXZDFDiLgbFjF3iHmxAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Section = _t, Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Section", type text}, {"Column1", Int64.Type}, {"Column2", Int64.Type}, {"Column3", type text}, {"Column4", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"Section"}, {{"Data1", each try List.Sum([Column1]) otherwise Text.Combine([Column1],",")}, {"Data2", each try List.Sum([Column2]) otherwise Text.Combine([Column2],",")}, {"Data3", each try List.Sum([Column3]) otherwise Text.Combine([Column3],",")}, {"Data4", each try List.Sum([Column4]) otherwise Text.Combine([Column4],",")}}) in #"Grouped Rows"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.
Follow this step
this is your data in power query
right click on column section and use unpivot other columns to reach the next result
then select Attribute column and go to transform tab and pick Pivot column comand.
like the below image pic value for value column.
hit ok to reach your result as below.
I hope this help you, if you have any other question, pls do not hesitate and ask
- GraceJinM2 years agoFrequent Visitor
I realized I misrepresented my data and what I want my end product to look like. When I took a closer look at my data, I realized that there were mutliple rows that had responses in the same column. For this situations, I needed the value to be summed if it was a number and split by comma when it was text.
Here is what my data actually looks like:
Here is what I want it to look like:
- Omid_Motamedise2 years ago
Super User
what happened on number 2 for the third rows on column 3 for section A?