Forum Discussion
themistoklis
5 years agoCommunity Champion
Subtract Values in consecutive rows
Hello All,
Im working on a task where I need to subtract values from consecutive rows.
More specifically i have a spreadsheet (see attached) where Culumn C contains cumulative values for cate...
- 5 years ago
themistoklis - one more solution:
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content], #"Changed Type" = Table.TransformColumnTypes(Source,{{"DATETIME", type datetime}, {"CATEGORY", type text}, {"CUMULATIVE VIEWS", Int64.Type}}), #"Sorted Rows" = Table.Buffer(Table.Sort(#"Changed Type",{{"CATEGORY", Order.Ascending}, {"DATETIME", Order.Ascending}})), listCategory = List.Buffer(#"Sorted Rows"[CATEGORY]), listCumulative = List.Buffer(#"Sorted Rows"[CUMULATIVE VIEWS]), listCount = List.Count(listCategory), listCumulativeDifference = List.Skip( List.Generate( ()=> [varCategory = listCategory{0}, varDiff = 0, Counter = 0], each [Counter] <= listCount, each try if [Counter] = 0 then [varDiff = listCumulative{[Counter]}, Counter = [Counter]+ 1] else if listCategory{[Counter]} = listCategory{[Counter] - 1} then [varDiff = listCumulative{[Counter]} - listCumulative{[Counter] -1}, Counter = [Counter]+ 1] else [varDiff = listCumulative{[Counter]}, Counter = [Counter]+ 1] otherwise [Counter = [Counter] + 1], each [varDiff] ), 1 ), CombinedColumns = Table.ToColumns(#"Sorted Rows") & {listCumulativeDifference}, BackToTable = Table.FromColumns( CombinedColumns, Table.ColumnNames(#"Sorted Rows") & {"Difference"} ) in BackToTableThis will do 100,000 rows as fast as Excel can think about loading the .NET framework to process it. I suspect 1M rows would be equally fast.
this is in the original file link above so you can get the solution there. it has 100K rows for testing now.
themistoklis
5 years agoCommunity Champion
Hello Jimmy801 Anonymous edhans ,
Thank you for all your answers. I will test all 3 alternatives proposed and i will come back to you as soon as i get the results.
Themis
Anonymous
5 years agoNot applicable
un esempio:
this is not always the case, the results are very variable.