Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hi all,
I have a dataset structured as the image below. I want to calculate the difference between each month(date) for columns Spent and POC * Estimated total revenue. So substracting the values for the newest date from the date before. For example, for date 1-1-24 the value for Spent should be 59839.04 - 59759.04 = 80 and 70306.75085 - 70212.75636 = 93.99449 for POC * Estimated total revenue.
What would be the best way to do it? The data is also grouped by project. Thanks in advance!
Solved! Go to Solution.
Hi @thomma, like this?
Result:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY7JDQQhDARz4W0kH+DjuZvGiPzTGDOsvJp+tVQF7utqnwZNqBN3lqwzbAbgyGrIxGBTRduCY6bYeTyeS3mCmh76LE9KNDUfILsGhjoQSXCJHJ2PSMRkDmG7CwciBPk5/X2PJETcGzKF6yDxAzXzevuj86GWKfrfwOfjyLS1bg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Project = _t, Date = _t, Spent = _t, #"POC * Estimated total revenue" = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Spent", type number}, {"POC * Estimated total revenue", type number}}, "sk-SK"),
fn_diff =
(myTable as table)=>
let
tbl = myTable,
BufferedColumns = Table.Buffer(Table.SelectColumns(tbl,{"Spent", "POC * Estimated total revenue"})),
GernerateDifferences = List.Generate(
()=> [ x = 0, s = BufferedColumns{x}[Spent], p = BufferedColumns{x}[#"POC * Estimated total revenue"] ],
each [x] <= Table.RowCount(BufferedColumns)-1,
each [ x = [x]+1, s = BufferedColumns{x}[Spent] - BufferedColumns{[x]}[Spent], p = BufferedColumns{x}[#"POC * Estimated total revenue"] - BufferedColumns{[x]}[#"POC * Estimated total revenue"] ],
each [Spent diff = [s], POC diff = [p] ]
),
ToTable = Table.FromRecords(GernerateDifferences, type table[Spent diff=number, POC diff=number]),
MergedTables = Table.FromColumns(Table.ToColumns(tbl) & Table.ToColumns(ToTable), Value.Type(tbl & ToTable))
in
MergedTables,
GroupedRows = Table.Group(ChangedType, {"Project"}, {{"All", fn_diff, type table}}),
CombinedAll = Table.Combine(GroupedRows[All])
in
CombinedAll
Hi @thomma, like this?
Result:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY7JDQQhDARz4W0kH+DjuZvGiPzTGDOsvJp+tVQF7utqnwZNqBN3lqwzbAbgyGrIxGBTRduCY6bYeTyeS3mCmh76LE9KNDUfILsGhjoQSXCJHJ2PSMRkDmG7CwciBPk5/X2PJETcGzKF6yDxAzXzevuj86GWKfrfwOfjyLS1bg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Project = _t, Date = _t, Spent = _t, #"POC * Estimated total revenue" = _t]),
ChangedType = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Spent", type number}, {"POC * Estimated total revenue", type number}}, "sk-SK"),
fn_diff =
(myTable as table)=>
let
tbl = myTable,
BufferedColumns = Table.Buffer(Table.SelectColumns(tbl,{"Spent", "POC * Estimated total revenue"})),
GernerateDifferences = List.Generate(
()=> [ x = 0, s = BufferedColumns{x}[Spent], p = BufferedColumns{x}[#"POC * Estimated total revenue"] ],
each [x] <= Table.RowCount(BufferedColumns)-1,
each [ x = [x]+1, s = BufferedColumns{x}[Spent] - BufferedColumns{[x]}[Spent], p = BufferedColumns{x}[#"POC * Estimated total revenue"] - BufferedColumns{[x]}[#"POC * Estimated total revenue"] ],
each [Spent diff = [s], POC diff = [p] ]
),
ToTable = Table.FromRecords(GernerateDifferences, type table[Spent diff=number, POC diff=number]),
MergedTables = Table.FromColumns(Table.ToColumns(tbl) & Table.ToColumns(ToTable), Value.Type(tbl & ToTable))
in
MergedTables,
GroupedRows = Table.Group(ChangedType, {"Project"}, {{"All", fn_diff, type table}}),
CombinedAll = Table.Combine(GroupedRows[All])
in
CombinedAll
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 4 | |
| 4 | |
| 3 |
| User | Count |
|---|---|
| 12 | |
| 11 | |
| 7 | |
| 7 | |
| 6 |