This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
hi there,
I would like to add the rows in red into my existing data. Is there a code for me to generate this inside power query? So it will generate new rows for new data that comes in automatically? Thanks.
The values are from : ON ALL - (ON PL + ON Sports) = ON Others
The values are from : Standby ALL - (Standby PL + Standby Sports) = Standby Others
| File Name | Device Count | Device Mode | Group Type |
| 31 Aug 2024 23_31.csv | 6532 | ON | PL |
| 31 Aug 2024 23_31.csv | 28336 | ON | Sports |
| 31 Aug 2024 23_31.csv | 145393 | ON | ALL |
| 31 Aug 2024 23_31.csv | 110525 | ON | Others |
| 31 Aug 2024 23_31.csv | 9560 | Standby | Sports |
| 31 Aug 2024 23_31.csv | 1638 | Standby | PL |
| 31 Aug 2024 23_31.csv | 54967 | Standby | ALL |
| 31 Aug 2024 23_31.csv | 43769 | Standby | Others |
Solved! Go to Solution.
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
f = (tbl) =>
[rec = Record.FromList(tbl[Device Count], tbl[Group Type]),
res = tbl & #table({"Device Count", "Group Type"}, {{List.Sum({rec[ALL], - rec[PL], -rec[Sports]}), "Other"}})][res],
group = Table.Group(Source, {"File Name", "Device Mode"}, {"x", f}),
xpand = Table.ExpandTableColumn(group, "x", {"Device Count", "Group Type"})
in
xpand
Hi @Anonymous
Another solution
let
Source = Your_Source,
Pivot = Table.Pivot(Source, List.Distinct(Source[#"Group Type"]), "Group Type", "Device Count"),
Others = Table.AddColumn(Pivot, "Others", each [ALL]-[Sports]-[PL]),
UnPivot = Table.UnpivotOtherColumns(Others, {"File Name", "Device Mode"}, "Group Type", "Device Count")
in
UnPivot
EDIT
with new group type
let
Source = Excel.CurrentWorkbook(){[Name = "Tableau1"]}[Content],
Group_Type = List.Distinct(Source[Group Type]),
Pivot = Table.Pivot(Source, Group_Type, "Group Type", "Device Count"),
Others = Table.AddColumn(Pivot, "Others",
(x) => x[ALL]
- List.Sum(List.Transform(
List.Select(Group_Type, each _ <> "ALL"),
each Record.Field(x, _)))),
UnPivot = Table.UnpivotOtherColumns(Others, {"File Name", "Device Mode"}, "Group Type", "Device Count")
in
UnPivot
Stéphane
Hi @Anonymous, another one:
Output:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjZUcCxNVzAyMDJRMDKONzbUSy4uU9JRMjM1NgJS/n5AIsBHKVYHt1IjC2NjM5ja4IL8opJivOoNTUyNLY1hGhx98JtuaWpmADK3JDEvJamSSBvMjC1Q9BDwgamJpZk5igawq2IB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"File Name" = _t, #"Device Count" = _t, #"Device Mode" = _t, #"Group Type" = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Device Count", type number}}),
GroupedRows = Table.Group(ChangedType, {"File Name", "Device Mode"}, {{"InsertedRow", each
[ a = List.Sum(Table.SelectRows(_, (x)=> x[Group Type] = "ALL")[Device Count]), //All value
b = List.Sum(Table.SelectRows(_, (x)=> x[Group Type] <> "ALL")[Device Count]), //Others value
c = a - b, //All minus Others
d = Table.InsertRows(_, Table.RowCount(_), { _{0} & [Group Type = "Others", Device Count = c] })
][d], type table}}),
Combined = Table.Combine(GroupedRows[InsertedRow])
in
Combined
if the device number have specific patterns, you can add all of them once, otherwise use Table.InsertRows
Hi @Anonymous, another one:
Output:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjZUcCxNVzAyMDJRMDKONzbUSy4uU9JRMjM1NgJS/n5AIsBHKVYHt1IjC2NjM5ja4IL8opJivOoNTUyNLY1hGhx98JtuaWpmADK3JDEvJamSSBvMjC1Q9BDwgamJpZk5igawq2IB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"File Name" = _t, #"Device Count" = _t, #"Device Mode" = _t, #"Group Type" = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Device Count", type number}}),
GroupedRows = Table.Group(ChangedType, {"File Name", "Device Mode"}, {{"InsertedRow", each
[ a = List.Sum(Table.SelectRows(_, (x)=> x[Group Type] = "ALL")[Device Count]), //All value
b = List.Sum(Table.SelectRows(_, (x)=> x[Group Type] <> "ALL")[Device Count]), //Others value
c = a - b, //All minus Others
d = Table.InsertRows(_, Table.RowCount(_), { _{0} & [Group Type = "Others", Device Count = c] })
][d], type table}}),
Combined = Table.Combine(GroupedRows[InsertedRow])
in
Combined
Hi @Anonymous
Another solution
let
Source = Your_Source,
Pivot = Table.Pivot(Source, List.Distinct(Source[#"Group Type"]), "Group Type", "Device Count"),
Others = Table.AddColumn(Pivot, "Others", each [ALL]-[Sports]-[PL]),
UnPivot = Table.UnpivotOtherColumns(Others, {"File Name", "Device Mode"}, "Group Type", "Device Count")
in
UnPivot
EDIT
with new group type
let
Source = Excel.CurrentWorkbook(){[Name = "Tableau1"]}[Content],
Group_Type = List.Distinct(Source[Group Type]),
Pivot = Table.Pivot(Source, Group_Type, "Group Type", "Device Count"),
Others = Table.AddColumn(Pivot, "Others",
(x) => x[ALL]
- List.Sum(List.Transform(
List.Select(Group_Type, each _ <> "ALL"),
each Record.Field(x, _)))),
UnPivot = Table.UnpivotOtherColumns(Others, {"File Name", "Device Mode"}, "Group Type", "Device Count")
in
UnPivot
Stéphane
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
f = (tbl) =>
[rec = Record.FromList(tbl[Device Count], tbl[Group Type]),
res = tbl & #table({"Device Count", "Group Type"}, {{List.Sum({rec[ALL], - rec[PL], -rec[Sports]}), "Other"}})][res],
group = Table.Group(Source, {"File Name", "Device Mode"}, {"x", f}),
xpand = Table.ExpandTableColumn(group, "x", {"Device Count", "Group Type"})
in
xpand
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 4 | |
| 3 | |
| 2 | |
| 2 | |
| 1 |