ImkeF

let func =   
 (Table as table, optional Step as number, optional SelectedColumns, optional GroupByColumns, optional Suffix as text, optional Buffer as any) =>

let
// Steps to prepare the (optional) parameters for the nested function "fnFetchNextRow"
    Source = if Buffer = null then Table else Table.Buffer(Table),
    Step0 = if Step = null then -1 else Step,
    Step_ = if Step = null then 1 else Number.Abs(Step),
    Suffix = if Suffix = null then ".Prev" else Suffix,
    GroupByColumns = if GroupByColumns = null then null else GroupByColumns,

ImkeF

let func =   
 (XML as table) =>
let
    Source = XML,
    AddSort = Table.Buffer(Table.AddColumn(Source, "Sort", each 0)),

    LG = List.Skip(List.Generate( ()=>
      [Next = AddSort, Counter = 1, AddIndex= #table({"Sort"}, {{""}})],
      each [AddIndex]{0}[Sort]<>"End",
      each [

ImkeF

let func =   
 (Table as table, MyFunction as function) =>
let
    OldColumnNames = Table.ColumnNames(Table),
    NewColumnNames = List.Transform(OldColumnNames, MyFunction),
    RenameList = List.Zip({OldColumnNames, NewColumnNames}),
    RenameColumns = Table.RenameColumns(Table, RenameList)
in
    RenameColumns ,
documentation = [

ImkeF

let
    func = (JSON) =>
        let
            Source = JSON, 
            ParseJSON = try Json.Document(Source) otherwise Source, 
            TransformForTable = 
                if Value.Is(ParseJSON, type record) then
                    Record.ToTable(ParseJSON)
                else
                    #table(

ImkeF

let func =   
 (QueryText as text, optional HtmlAdress as text) =>

let

/* Debug parameters
    QueryText = "// Source: https://gist.githubusercontent.com/tonmcg/c5889375a84482f2d2862d620b6f191d/raw/e576da943b79b4690c9b81494365d1f59b075b37/List.Percentile.pq #(lf) // from NIST 7.2.6.2 Percentiles#(lf)// https://www.itl.nist.gov/div898/handbook/prc/section2/prc262.htm#(lf)// Note that there are other ways of calculating percentiles in common use#(lf)// Hyndman and Fan (1996) in an American Statistician article evaluated nine different methods (R1 to R9)#(lf)// for computing percentiles relative to six desirable properties. #(lf)// Their goal was to advocate a ""standard"" definition for percentiles that would be implemented in statistical software. #(lf)// Although this has not in fact happened, most statistical and spreadsheet software use one of the methods described in Hyndman and Fan.#(lf)// The method used here is patterned after the R6, R7, and R8 methods; R7 is the default method used in Excel and R an

ImkeF

let func =   
 (optional SelectedType as type, optional ExcludeList as list) =>
let

/* Debug Parameters
    SelectedType = type table,
    ExcludeList = null,
End of debug parameters */
    
    //By default, the query "GetAllQueries" will be excluded, so if you name this query so, you get everything BUT this query.

ImkeF

let func =   
 (optional SelectedType as type) =>
let

/* Debug Parameters
    SelectedType = type table,
End of debug parameters */

    Source = #shared,
    ToTable = Record.ToTable(Source),

ImkeF

let func =   
 (List as list) =>

let 
List = List.Buffer(List),

LA = 
    List.Accumulate(
    List.Skip(List),
    [Table = Table.FromColumns({List}), Counter = 2],

ImkeF

let func =   
  (PeriodStartForecast as number, PeriodEndForecast as number, OriginalForecast as table) =>

let
/* Debug Parameters
    PeriodEndForecast = PeriodEndForecast,    
    PeriodStartForecast = PeriodStartForecast,
    OriginalForecast = LU_Original_Forecast_Data,
*/ 

ImkeF

let func =   
 (Server as text, Database as text, SQLTable as text, SQLColumn as text, FilterList as list) =>
let

/* Debug parameters
Server = "localhost",
Database = "postgres",
SQLTable = "public.mytesttable",
SQLColumn = "Col1",
FilterList = Filter[Column1],