Actual vs Budget with Variable Start and End Dates

[Anonymous]

Hi All,

I am stuck on a rather buffling problem. I have measures the calculate actuals for different groups plotted on a line chart. What I would like to do is to add a budget line with a linear rate  for comparison purposes. I'll first show you what the budget data looks like:

Ideally, to have this data work with my model so far, I envision transforming this data to look like this:I would appreciate any help with this problem! Thanks in advance.

[parry2k · Accepted solution]

@Anonymous here is example of M code which can get you wht you are looking for. Start new blank query and paste following code

Would appreciate Kudos 🙂 if my solution helped.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wci/KLy1QMFTSUTI0MjUAUkYGhpa6Bqa6BkYwjqGRrrGhUqwOTDFIwhym1kLX0EDXwBCu0QjEQag1BkkYmcClLZHNBWo0RVJrAnEEsrQhmhtiAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Category = _t, Budget = _t, #"Start Date" = _t, #"End Date" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Category", type text}, {"Budget", Int64.Type}, {"Start Date", type date}, {"End Date", type date}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Days", each {0..1}),
    #"Expanded Days" = Table.ExpandListColumn(#"Added Custom", "Days"),
    #"Added Custom1" = Table.AddColumn(#"Expanded Days", "New Budget", each if [Days]=0 then 0 else [Budget]),
    #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Date", each if [Days]=0 then [Start Date] else [End Date]),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom2",{"Budget", "Start Date", "End Date", "Days"}),
    #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"New Budget", "Budget"}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Renamed Columns",{{"Budget", type number}, {"Date", type date}})
in
    #"Changed Type1"

[Anonymous]

Hi @parry2k , thanks for the prompt assist. I did try it and it gave me the results I was look for so thank you! I did however find a cheeky work around using CROSSJOIN that made it a little more robust and easier to add trickery with DAX. Thanks again.