Categorize Columns in Power BI - powerbi

Question

I have a dataset (Excel) with the results of customer satisfaction questionnaires over several years.
The questions in the Excel are each a column, and every row is the value of the response (value 1 to 5).
However, those questions are separated in categories (eg. questions about "communication", "quality",...).
I'd like to find a way to have these columns "grouped" or "categorized" into categories, but can't wrap my head around it. It felt like a thing to do with hierarchies but that is clearly not the way to go.
UPDATED with sample data:
Image of excel data
Quality performance
Company perception
Communication
Quality Q1 Quality Q2 Quality Q3
Company Q1 CompanyQ2
Response Time Correct Capable
Responder
Quality Q1
Quality Q2
Quality Q3
Company Q1
CompanyQ2
Response Time
Correct Capable
Client 1
0
0
5
0
5
1
2
Client 2
2
5
5
3
1
4
3
Client 3
5
1
3
5
4
3
3
Client 4
0
4
2
4
0
2
4
Client 5
0
1
5
2
3
0
5
Client 6
5
2
0
0
0
2
3
Client 7
2
1
4
1
1
2
3
Client 8
4
0
2
0
5
4
5
Client 9
2
0
2
1
1
0
5
Client 10
1
2
4
4
0
2
3
Client 11
2
4
5
4
3
0
0
On PowerBI I'd like to have a score per category on which I can drill down to get into deeper detail.

Answer 1

You can try this
let
Source = Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText(
"ZZC7DoQgEEV/xVBbyMi+ar/AbY2FcSlIFIxisX+/qwzmisWEucPJnUfTiLdeJmc/eha5qNduMP6b1RIFoSj/onLj1FnGDkFBjKs1feeNs1mwXvTlo3LzrHsv2rwR1WC09dlmVXDc4N3qhCDthfC5RcmQ2nMAS3CIueL8BCpup9g56pADGOeS7EbsFmYF8A5AAUFp6wcX4wLy2DgBn8lc8Twqbf0CgMDxMqMsoJdK7E+9JVJ4xbBW2/4A",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [
Column1 = _t,
#"Quality performance" = _t,
Column3 = _t,
Column4 = _t,
#"Company perception" = _t,
Column6 = _t,
Communication = _t,
Column8 = _t
]
),
ct = Table.TransformColumnTypes(
Source,
{
{"Column1", type text},
{"Quality performance", type text},
{"Column3", type text},
{"Column4", type text},
{"Company perception", type text},
{"Column6", type text},
{"Communication", type text},
{"Column8", type text}
}
),
DH = Table.DemoteHeaders(ct),
CT = Table.TransformColumnTypes(
DH,
{
{"Column1", type text},
{"Column2", type text},
{"Column3", type text},
{"Column4", type text},
{"Column5", type text},
{"Column6", type text},
{"Column7", type text},
{"Column8", type text}
}
),
KFR = Table.FirstN(CT, 1),
TT = Table.Transpose(KFR),
AC = Table.AddColumn(
TT,
"Custom",
each
if [Column1] = "Column1" then
ct[Column1]{0}
else if Text.Contains([Column1], "Column") then
null
else
[Column1]
),
RTR = Table.Skip(AC, 1),
FD = Table.FillDown(RTR, {"Custom"}),
#"Promoted Headers" = Table.PromoteHeaders(ct, [PromoteAllScalars = true]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(
#"Promoted Headers",
{"Responder"},
"Attribute",
"Value"
),
#"Grouped Rows" = Table.Group(
#"Unpivoted Other Columns",
{"Responder"},
{{"ad", each _, type table [Responder = nullable text, Attribute = text, Value = text]}}
),
#"Added Custom" = Table.AddColumn(
#"Grouped Rows",
"Custom",
each
let
src = [ad],
Index = Table.AddIndexColumn(src, "Index", 0, 1),
Add = Table.AddColumn(Index, "Custom", each FD[Custom]{[Index]}),
Remove = Table.RemoveColumns(Add, {"Index"}),
#"Added Custom1" = Table.AddColumn(
Remove,
"Custom.1",
each List.Difference(Text.Split([Attribute], " "), Text.Split([Custom], " "))
),
#"Expanded Custom.1" = Table.ExpandListColumn(#"Added Custom1", "Custom.1"),
#"Renamed Columns" = Table.RenameColumns(
#"Expanded Custom.1",
{{"Custom", "CAT"}, {"Custom.1", "SubCat"}}
),
#"Removed Columns" = Table.RemoveColumns(#"Renamed Columns", {"Attribute"}),
#"Changed Type" = Table.TransformColumnTypes(#"Removed Columns", {{"Value", type number}})
in
#"Changed Type"
),
#"Removed Other Columns" = Table.SelectColumns(#"Added Custom", {"Custom"}),
#"Expanded Custom" = Table.ExpandTableColumn(
#"Removed Other Columns",
"Custom",
{"Responder", "Value", "CAT", "SubCat"},
{"Responder", "Value", "CAT", "SubCat"}
)
in
#"Expanded Custom"

Answer 2

I think the first step is to unpivot your table so you have one row per item following this pattern. Microsoft Docs - Unpivot columns. Will create code something like this:
=Table.UnpivotOtherColumns(Source, {"Responder"}, "Question", "Response")
You can then create a "Question" table with a "Question" column and a "Group". Join the question table to your unpivoted table by the question, and you can now report on your questions and groups.