Forum Discussion
Dynamic column comparison of last column
- 8 months ago
Hi scott63070 ,
I suggest that you unpivot the column and then do a sort by Account and date and then using Index column do the difference and the percentage in new columns:
See the full code below:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TZBJDsQwCAT/4vMIeSOxj7O9Isr/vzFOgZhcEDLdRZvjSM/0SJvMVZvUVaf0VbsUel210pumymB6KTNTpW9ed6bm6ul8HOm1+iIt9E0y5AyzoM+hUeqAVtmo5DFvlw1XZtrgv72/yA2OQui8WNpx0wy2X/zdM8/w7riUl+H8D9st/4ycxVPZHUpoOhewl0ra6lNj2o+UXRP+NzLo7QL9xhxkbk4ocfPsyTVcjY1//Xn+AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Account = _t, #"8/1/2024" = _t, #"9/1/2024" = _t, #"10/1/2024" = _t, #"11/1/2024" = _t, #"12/1/2024" = _t, #"1/1/2025" = _t, #"2/1/2025" = _t, #"3/1/2025" = _t, #"4/1/2025" = _t, #"5/1/2025" = _t, #"6/1/2025" = _t, #"7/1/2025" = _t, #"8/1/2025" = _t, #"9/1/2025" = _t, #"10/1/2025" = _t]), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Account"}, "Attribute", "Value"), #"Changed Type with Locale" = Table.TransformColumnTypes(#"Unpivoted Other Columns", {{"Value", Currency.Type}}, "en-US"), #"Changed Type" = Table.TransformColumnTypes(#"Changed Type with Locale",{{"Attribute", type date}}), #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1, Int64.Type), #"Added Custom" = Table.AddColumn(#"Added Index", "Difference", each if [Index] = 0 then null else if #"Changed Type"{[Index]-1}[Account] = [Account] then try #"Changed Type"{[Index]-1}[Value] - [Value] otherwise null else null), #"Added Custom1" = Table.AddColumn(#"Added Custom", "percentage", each if [Index] = 0 then null else if #"Changed Type"{[Index]-1}[Account] = [Account] then try [Difference] / #"Changed Type"{[Index]-1}[Value] otherwise null else null), #"Changed Type1" = Table.TransformColumnTypes(#"Added Custom1",{{"Difference", Currency.Type}, {"percentage", Percentage.Type}}) in #"Changed Type1"But be aware that I believe that a best option is to use a DAX calculation instead of adding this values in the semantic model.
For this you just need to unpivot your data and then use a similar calculation to this:
Vs Previous month = SUM(Table[Value]) - CALCULATE(SUM(Table[Value]), DATEADD(Calendar[Date], -1 , Month)) % Value = DIVIDE( SUM(Table[Value])- [Vs Previous month], Vs Previous month)This is more efficient and you don't need to add additonal data.
- 8 months ago
Hello! Rather than adding a new column every month, the data should be long and skinny (i.e. lots of rows and not a lot of columns). Each month new rows will be added. In Power BI you will have this table, a date table with a relationship to the fact table, and then you will use DAX Time Intelligence.
Account Date Value A 8/1/2024 6.9 A 9/1/2024 3.2 A 10/1/2024 9.4 A 11/1/2024 4.1 A 12/1/2024 9.5 A 1/1/2025 2.1 A 2/1/2025 6.9 A 3/1/2025 2.8 A 4/1/2025 4.2 A 5/1/2025 0.5 A 6/1/2025 5.2 A 7/1/2025 3.2 A 8/1/2025 3.7 A 9/1/2025 4.5 A 10/1/2025 2.4 B 8/1/2024 1.3 B 9/1/2024 0.5 B 10/1/2024 3 B 11/1/2024 9 B 12/1/2024 6.1 B 1/1/2025 4 B 2/1/2025 1.3 B 3/1/2025 5.3 B 4/1/2025 8.2 B 5/1/2025 2.9 B 6/1/2025 5.4 B 7/1/2025 0.5 B 8/1/2025 4.6 B 9/1/2025 6 B 10/1/2025 2.3 C 8/1/2024 2.3 C 9/1/2024 3.3 C 10/1/2024 1.5 C 11/1/2024 8.4 C 12/1/2024 3.8 C 1/1/2025 4.8 C 2/1/2025 2.3 C 3/1/2025 3.8 C 4/1/2025 9.2 C 5/1/2025 7.2 C 6/1/2025 3.9 C 7/1/2025 3.3 C 8/1/2025 7.4 C 9/1/2025 5.9 C 10/1/2025 8.3 D 8/1/2024 0.3 D 9/1/2024 0.9 D 10/1/2024 1.3 D 11/1/2024 1.4 D 12/1/2024 0.2 D 1/1/2025 0.1 D 2/1/2025 0.3 D 3/1/2025 4.7 D 4/1/2025 0.1 D 5/1/2025 2.6 D 6/1/2025 2.1 D 7/1/2025 0.9 D 8/1/2025 8.9 D 9/1/2025 5.5 D 10/1/2025 7.9 E 8/1/2024 3.9 E 9/1/2024 5.3 E 10/1/2024 5.3 E 11/1/2024 4.1 E 12/1/2024 0.3 E 1/1/2025 8.8 E 2/1/2025 3.9 E 3/1/2025 8.1 E 4/1/2025 5.2 E 5/1/2025 0.9 E 6/1/2025 3.5 E 7/1/2025 5.3 E 8/1/2025 3.6 E 9/1/2025 8.8 E 10/1/2025 3.9 - 8 months ago
It is not difficult to do this with your existing format:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TZBJDsQwCAT/4vMIeSOxj7O9Isr/vzFOgZhcEDLdRZvjSM/0SJvMVZvUVaf0VbsUel210pumymB6KTNTpW9ed6bm6ul8HOm1+iIt9E0y5AyzoM+hUeqAVtmo5DFvlw1XZtrgv72/yA2OQui8WNpx0wy2X/zdM8/w7riUl+H8D9st/4ycxVPZHUpoOhewl0ra6lNj2o+UXRP+NzLo7QL9xhxkbk4ocfPsyTVcjY1//Xn+AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Account = _t, #"8/1/2024" = _t, #"9/1/2024" = _t, #"10/1/2024" = _t, #"11/1/2024" = _t, #"12/1/2024" = _t, #"1/1/2025" = _t, #"2/1/2025" = _t, #"3/1/2025" = _t, #"4/1/2025" = _t, #"5/1/2025" = _t, #"6/1/2025" = _t, #"7/1/2025" = _t, #"8/1/2025" = _t, #"9/1/2025" = _t, #"10/1/2025" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source, {{"Account", type text}} & List.Transform(List.Skip(Table.ColumnNames(Source)), each {_, type number})), #"Add Comparisons" = Table.AddColumn(#"Changed Type","Comparisons", (r)=> [a=Record.FieldValues(r), b=List.LastN(a,2), c=List.LastN(a,13), PrevMonth=(b{1}-b{0})/b{0}, PrevYear=(c{12}-c{0})/c{0}]), #"Expanded Comparisons" = Table.ExpandRecordColumn(#"Add Comparisons", "Comparisons", {"PrevMonth", "PrevYear"}), #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Comparisons",{ {"PrevMonth", Percentage.Type}, {"PrevYear", Percentage.Type}}) in #"Changed Type1"From your data (just showing the right half of the table)
Hi scott63070,
Just following up to see if the Response provided by community members were helpful in addressing the issue. if the issue still persists Feel free to reach out if you need any further clarification or assistance.
Best regards,
Prasanna Kumar