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Raaassotto
Helper I
Helper I

Make continuous ranges from date list

I need a query that makes continuous ranges from date list for every machine. We have to find start of every working range for every machine. Every missing date for machine brakes the date range

The input table looks the following way 

MachineDateOutput
Machine 101.05.202520
Machine 102.05.202530
Machine 103.05.202515
Machine 106.05.202535
Machine 107.05.202545
Machine 108.05.202560

The output table must look this way

MachineDateOutputRange StartRange End
Machine 101.05.20252001.05.202503.05.2025
Machine 102.05.20253001.05.202503.05.2025
Machine 103.05.20251501.05.202503.05.2025
Machine 106.05.20253506.05.202508.05.2025
Machine 107.05.20254506.05.202508.05.2025
Machine 108.05.20256006.05.202508.05.2025
1 ACCEPTED SOLUTION
serpiva64
Super User
Super User

Hi,

you can get this

 

serpiva64_0-1678490085778.png

by apllying this steps 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k1MzsjMS1XSUXJJLAFR/qUlBaUlSrE6cDkFQ6CwgaGegamekYGRKZBjZIApb4Qkb4xF3hhJ3tAUU94MWT8WeXMkeRMs8hZI8mZA+2MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}}),
Date = List.Skip( #"Changed Type"[Date],1),
Custom1 = Date,
Custom2 = List.InsertRange( Custom1,List.Count(Custom1),{null}),
Custom3 = Table.ToColumns(#"Changed Type")&{Custom2},
#"Converted to Table" = Table.FromList(Custom3, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), "|"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Column1.1", "Column1.2", "Column1.3", "Column1.4", "Column1.5", "Column1.6"}),
#"Transposed Table" = Table.Transpose(#"Split Column by Delimiter"),
#"Added Index" = Table.AddIndexColumn(#"Transposed Table", "Index", 1, 1, Int64.Type),
#"Inserted Date Subtraction" = Table.AddColumn(#"Added Index", "Subtraction", each if Duration.Days(Date.From([Column4]) - Date.From([Column2]))=1 then null else [Index]),
#"Filled Up" = Table.FillUp(#"Inserted Date Subtraction",{"Subtraction"}),
#"Grouped Rows" = Table.Group(#"Filled Up", {"Subtraction"}, {{"Count", each _, type table [Column1=text, Column2=text, Column3=text, Column4=nullable text, Index=number, Subtraction=number]}, {"MinDate", each List.Min([Column2]), type text}, {"MaxDate", each List.Max([Column2]), type text}}),
#"Expanded Count" = Table.ExpandTableColumn(#"Grouped Rows", "Count", {"Column1", "Column2", "Column3", "Column4", "Index"}, {"Column1", "Column2", "Column3", "Column4", "Index"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Count",{"Subtraction", "Column4", "Index"})
in
#"Removed Columns"

 

You can see them in the attached file
If this post is useful to help you to solve your issue, consider giving the post a thumbs up and accepting it as a solution!

 

View solution in original post

3 REPLIES 3
jaryszek
Post Patron
Post Patron

Hi Guys,

i have the same issue but i have to exlude from ranges Weekends. 
For example:

06.08.2023
07.08.2023
08.08.2023
09.08.2023

 

it will be 

07.08.202309.08.2023

(06.08.2023 is sunday)

adn for this one:

18.05.2023
19.05.2023
20.05.2023
21.05.2023
22.05.2023

and here it will be 

18.05.202322.05.2023

but only with 3 working days (on is weekend day)

Thank you!
Best,
Jacek

serpiva64
Super User
Super User

Hi,

you can get this

 

serpiva64_0-1678490085778.png

by apllying this steps 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k1MzsjMS1XSUXJJLAFR/qUlBaUlSrE6cDkFQ6CwgaGegamekYGRKZBjZIApb4Qkb4xF3hhJ3tAUU94MWT8WeXMkeRMs8hZI8mZA+2MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}}),
Date = List.Skip( #"Changed Type"[Date],1),
Custom1 = Date,
Custom2 = List.InsertRange( Custom1,List.Count(Custom1),{null}),
Custom3 = Table.ToColumns(#"Changed Type")&{Custom2},
#"Converted to Table" = Table.FromList(Custom3, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), "|"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Column1.1", "Column1.2", "Column1.3", "Column1.4", "Column1.5", "Column1.6"}),
#"Transposed Table" = Table.Transpose(#"Split Column by Delimiter"),
#"Added Index" = Table.AddIndexColumn(#"Transposed Table", "Index", 1, 1, Int64.Type),
#"Inserted Date Subtraction" = Table.AddColumn(#"Added Index", "Subtraction", each if Duration.Days(Date.From([Column4]) - Date.From([Column2]))=1 then null else [Index]),
#"Filled Up" = Table.FillUp(#"Inserted Date Subtraction",{"Subtraction"}),
#"Grouped Rows" = Table.Group(#"Filled Up", {"Subtraction"}, {{"Count", each _, type table [Column1=text, Column2=text, Column3=text, Column4=nullable text, Index=number, Subtraction=number]}, {"MinDate", each List.Min([Column2]), type text}, {"MaxDate", each List.Max([Column2]), type text}}),
#"Expanded Count" = Table.ExpandTableColumn(#"Grouped Rows", "Count", {"Column1", "Column2", "Column3", "Column4", "Index"}, {"Column1", "Column2", "Column3", "Column4", "Index"}),
#"Removed Columns" = Table.RemoveColumns(#"Expanded Count",{"Subtraction", "Column4", "Index"})
in
#"Removed Columns"

 

You can see them in the attached file
If this post is useful to help you to solve your issue, consider giving the post a thumbs up and accepting it as a solution!

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k1MzsjMS1UwVNJRMjDUMzDVMzIwMgVyjAyUYnXQ5I2Q5I2xyBsjyRuaYsqbIevHIm+OJG+CRd4CSd4MaH8sAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Machine = _t, Date = _t, Output = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Machine", type text}, {"Date", type date}, {"Output", Int64.Type}}, "fr"),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 0, 1),
    #"Grouped Table" = let dates = #"Changed Type"[Date] in Table.Group(#"Added Index", {"Machine", "Index"}, {"Grp", each let dt = [Date] in Table.TransformColumns(_, {"Index", each [Stt = List.Min(dt), End = List.Max(dt)]})}, 0, (x,y) => Byte.From(dates{y[Index]} <> dates{y[Index]-1}+#duration(1,0,0,0))),
    #"Expanded Grp" = Table.ExpandTableColumn(Table.SelectColumns(#"Grouped Table", {"Grp"}), "Grp", {"Date", "Output", "Index"}),
    #"Expanded Index" = Table.ExpandRecordColumn(#"Expanded Grp", "Index", {"Stt", "End"}, {"Stt", "End"})
in
    #"Expanded Index"

CNENFRNL_0-1678530675014.png


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

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