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Here is an example of the one for Months. If it works, you could adapt the approach for weeks and quarters. To see how it works, just create a blank query, go to Advanced Editor, and replace the text there with the M code below. This could easily be converted into a function where you could just input the desired start date.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtI31DcyMDJQio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}}),
Date = #"Changed Type"{0}[Date],
Custom1 = List.Transform({0..Number.RoundUp(Duration.Days(Date.EndOfYear(Date)-Date)/30)-2}, each Date.AddMonths(Date, _)),
#"Converted to Table" = Table.FromList(Custom1, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Renamed Columns" = Table.RenameColumns(#"Converted to Table",{{"Column1", "RefreshDates"}}),
#"Changed Type1" = Table.TransformColumnTypes(#"Renamed Columns",{{"RefreshDates", type date}})
in
#"Changed Type1"
If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
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Thank you for the assistance on this. This is similar to what I need, but how do I incorporate it in a table with my data. I'dd like to add the future dates in the columns next to each report row. Is it possible to build a relationship witht he results?
Type | Frequency | Start Date | Refresh 1 | Refresh 2 | Refresh 3 |
Report 1 | Monthly | 02/16/20 | 03/16/20 | ?? | ?? |
Report 2 | Quarterly | 01/01/20 | 03/01/20 | ?? | ?? |
Report 3 | Annually | 06/01/20 | 06/01/21 | ?? | ?? |
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