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Hi, I have a table that contains (Date, Category and Sales)
Date | Category | Sales |
2024-01-01 | A | 300 |
2024-01-01 | B | 400 |
2024-01-02 | A | 1000 |
2024-01-02 | B | 500 |
2024-01-03 | A | 1600 |
2024-01-03 | B | 800 |
In the above Table (within a category)
1) the Jan 2 Sales numbers are Jan 1 and Jan 2 added together.
2) the Jan 3 Sales numbers are Jan 1, Jan 2, Jan 3 added together.
I want a table that has the Actual Sales
Date | Category | Sales | Actual Sales |
2024-01-01 | A | 300 | 300 |
2024-01-01 | B | 400 | 400 |
2024-01-02 | A | 1000 | 700 |
2024-01-02 | B | 500 | 100 |
2024-01-03 | A | 1600 | 600 |
2024-01-03 | B | 800 | 300 |
Solved! Go to Solution.
Hi @FPP
use this formula
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtE1MAQiJR0lRyA2NjBQitVBk3ACYhN0CSOoDkMDbDIgLaboEsYwLWbYZEBaLEASsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Category = _t, Sales = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Category", type text}, {"Sales", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each [Sales]-(List.Sum(Table.SelectRows(#"Changed Type", (x)=>x[Date]<[Date] and x[Category]=[Category])[Sales])??0))
in
#"Added Custom"
Hi @FPP
May I ask if you have resolved this issue? If so, please mark their reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.
Thank you.
Hi @FPP,
Could you please confirm if your query have been resolved the solution provided by @Omid_Motamedise & @p45cal ? If they have, kindly mark the helpful response and accept it as the solution. This will assist other community members in resolving similar issues more efficiently.
Thank you
Hi @FPP
use this formula
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtE1MAQiJR0lRyA2NjBQitVBk3ACYhN0CSOoDkMDbDIgLaboEsYwLWbYZEBaLEASsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Category = _t, Sales = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Category", type text}, {"Sales", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each [Sales]-(List.Sum(Table.SelectRows(#"Changed Type", (x)=>x[Date]<[Date] and x[Category]=[Category])[Sales])??0))
in
#"Added Custom"
Hi @FPP
let
Source = Your_Source,
Sort = Table.Sort(Source,{{"Category", Order.Ascending}, {"Date", Order.Ascending}}),
Group = Table.Group(Sort, {"Category"},
{{"Data",
each Table.FromColumns(
{[Date],
[Sales],
List.Transform(List.Zip({[Sales], {0} & List.RemoveLastN([Sales],1)}), each _{0}-_{1})},
{"Date", "Sales", "Actual Sales"}),
type table [Date=nullable date, Sales=nullable number, Actual Sales=nullable number]}}),
Expand = Table.ExpandTableColumn(Group, "Data", {"Date", "Sales", "Actual Sales"}, {"Date", "Sales", "Actual Sales"})
in
Expand
Stéphane
(In haste) not especially efficient:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUByIjAyMTJR0lRyA2NjBQitVBk3ACYhOYhBGaDkMDbDIgLaYwCWN0LWbYZEBaLEASsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Category = _t, Sales = _t]),
fnMonthlyActualSales = (tbl)=>
let
SortedRows = Table.Sort(tbl,{{"Date", Order.Ascending}}),
AddedIndex = Table.AddIndexColumn(SortedRows, "Index.1", -1, 1, Int64.Type),
AddedCustom = Table.AddColumn(AddedIndex, "Actual Sales", each [Sales] - (if [Index.1]<0 then 0 else AddedIndex[Sales]{[Index.1]})),
RemovedOtherColumns = Table.SelectColumns(AddedCustom,{"Date", "Category", "Sales", "Actual Sales", "Index"})
in
RemovedOtherColumns,
ChangedType = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Category", type text}, {"Sales", type number}}),
AddedIndex = Table.AddIndexColumn(ChangedType, "Index", 0, 1, Int64.Type),
InsertedEOM = Table.AddColumn(AddedIndex, "End of Month", each Date.EndOfMonth([Date]), type date),
GroupedRows = Table.Group(InsertedEOM, {"Category", "End of Month"}, {{"grp", each _, type table [Date=nullable date, Category=text, Sales=number, End of Month=date]}}),
InvokedCustomFunction = Table.AddColumn(GroupedRows, "MonthlyActualSales", each fnMonthlyActualSales([grp])),
RemovedColumns = Table.RemoveColumns(InvokedCustomFunction,{"grp", "End of Month"}),
ExpandedMonthlyActualSales = Table.ExpandTableColumn(RemovedColumns, "MonthlyActualSales", {"Date", "Sales", "Actual Sales", "Index"}, {"Date", "Sales", "Actual Sales", "Index"}),
SortedRows = Table.Sort(ExpandedMonthlyActualSales,{{"Index", Order.Ascending}}),
ReorderedColumns = Table.ReorderColumns(SortedRows,{"Date", "Category", "Sales", "Actual Sales", "Index"}),
RemovedColumns1 = Table.RemoveColumns(ReorderedColumns,{"Index"}),
ChangedType1 = Table.TransformColumnTypes(RemovedColumns1,{{"Date", type date}})
in
ChangedType1
It treats the data on a monthly basis, so assumes first sale per month is not a cumulative figure.
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