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I'm importing data from hundreds of csv files into Power BI and I have a problem that I hope someone can help me resolve. Some of the files have a date column but others don't. Those that don't have a date column also have unwanted top rows (see image). The files that have a date column have a date range stamped somewhere in the file (cell B10). For these files I want to add a date column, grab the date (01/01/2024) and populate the date column with it. After that I want to remove all unwanted rows (1-17) from but leave all other files intact (those don't need any rows removed). Any suggestions for how to do it in Power Query?
I have attached a sample file for reference.
To acccess to the datem you can use indexing operation like Source[Column2]{5} meanse table Source Column namely column 2 and row index equal to 5 and for removing unwanted row, use Table.RemoveTopRows function
Hi @ayana, check this:
Before
After
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkotyC8qUQguzc1NLKpU0lFCQbE60UrYxEhU7pyTmZpXgk3GJbEktRjIMTDUByIjAyMTBV0FBIco04kVC0otLs0pKabECMd0iD/cMouKSxT8EnNTgRyfRAQ7uDQ5ObW4OK00B4WjYOCkEFKUmFecllqEqgpsqpMzUNDREUg4OQGJSHCQ+OVDmeBwcnUD8gIDgURQEEwSoSIWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
GrabDate = [ a = List.Select(Table.ToRows(Table.FirstN(Source, each [Column1] <> "Agent")), each _{0} = "Dates"){0}?{1}?,
b = Date.From(Text.BeforeDelimiter(a, " - "))
][b],
StepBack = Source,
Filter = Table.PromoteHeaders(Table.Skip(StepBack, each [Column1] <> "Agent")),
Ad_Date = Table.AddColumn(Filter, "Date", each GrabDate, type date)
in
Ad_Date
If you want us to help you with csv files - upload at least 2 files i.e. to google drive and provide here a link. (1 file with correct date and another one similar as your sample)
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information or anything not related to the issue or question.
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