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Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Copy data from previous day when date is missing

Hi there clever people,   I have a list of products that should be in stock in each of our retail stores on a particular date.  This product range file is however not created every day, so there a ...
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  • Anonymous's avatar
    Anonymous
    6 years ago

    Sorry, I was using the source from Jimmy's sample.

     

    Please replace 

    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #"Store ID" = _t, SKU = _t, #"Store Name" = _t, Notes = _t]),

     

    With something like this (from Mariusz's code):

    Source = #"Test Data xlsx",

     

    This is essentially the link to your data loaded from Excel.

     

    Kind regards,

    John

     

     

  • Jimmy801's avatar
    Jimmy801
    6 years ago
    Hey
    This comes from your data example that was converted in German. However, if you replace my dataset with yours it should work nicely
    Jimmy
Anonymous's avatar
Anonymous
Not applicable
6 years ago

Hi all,

 

can I add my version :)?

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #"Store ID" = _t, SKU = _t, #"Store Name" = _t, Notes = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Store ID", type text}, {"SKU", type text}, {"Store Name", type text}, {"Notes", type text}}),
    #"Parsed Date" = Table.TransformColumns(#"Changed Type",{{"Date", each Date.From(DateTimeZone.From(_, "de-DE")), type date}}),
    #"Grouped Rows" = Table.Group(#"Parsed Date", {"Date"}, {{"Data", each _, type number}}),
    #"Sorted Rows" = Table.Buffer(Table.Sort(#"Grouped Rows",{{"Date", Order.Ascending}})),

    //Setting the stage //
    MinDate = List.Min(#"Sorted Rows"[Date]),
    MaxDate = List.Max(#"Sorted Rows"[Date]),
    DateRange = List.Generate(()=>MinDate, each _ <= MaxDate, each Date.AddDays(_,1)),
    
    //Actual work
    MakeTable = Table.FromRecords(List.Accumulate(DateRange, {}, (s,a)=> s & { Record.Combine({[Date = a], [Data = Table.Last(Table.SelectRows(#"Sorted Rows", each [Date]<=a))[Data]]})})),
    #"Expanded Data" = Table.ExpandTableColumn(MakeTable, "Data", {"Date", "Store ID", "SKU", "Store Name", "Notes"}, {"Date.1", "Store ID", "SKU", "Store Name", "Notes"})
in
    #"Expanded Data"

 

Kind regards,

JB

 

Anonymous 

Anonymous's avatar
Anonymous
Not applicable
6 years ago

Hi JB,

 

Thanks for getting back to me, I really appreciate the assistance...

 

When I paste your code into my file it seems to work partially, however, the result is I now only have data from the 2nd of July to the 8th of July.

 

I was expecting to have data for the entire month (or from the 1st until the 26th)

 

Does that make sense?

 

Cheers,

 

Phil

  • Anonymous's avatar
    Anonymous
    Not applicable
    6 years ago

    Sorry, I was using the source from Jimmy's sample.

     

    Please replace 

    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #"Store ID" = _t, SKU = _t, #"Store Name" = _t, Notes = _t]),

     

    With something like this (from Mariusz's code):

    Source = #"Test Data xlsx",

     

    This is essentially the link to your data loaded from Excel.

     

    Kind regards,

    John