Adding Missing Dates to a Table

[Anonymous]

Hi guys,

I need your help please.

As you could see the below table screen shot got a column that has a list of dates, but it misses some days in the middle. I hope to build a query that add for me the missing days. The start and end dates in the desired series should be the oldest and the latest date in the existing column consecutively, how could I do that?

Image #1

I applied this code that got me a part of the solution but created for me another problem

let

Source = Excel.CurrentWorkbook(){[Name="Table6"]}[Content],

#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Date", type date}, {"Schedule", type text}}),

Dates = Table.FromColumns({List.Transform({Number.From( (Date.From(List.Min(#"Changed Type"[Date]))))..Number.From( (Date.From(List.Max(#"Changed Type"[Date]))))}, Date.From)}, {"Date"}),

Merged = Table.NestedJoin(Dates, {"Date"}, #"Changed Type", {"Date"}, "Gr", JoinKind.LeftOuter),

Expanded = Table.ExpandTableColumn(Merged, "Gr", {"Name", "Schedule"}, {"Name", "Schedule"}),

Reordered = Table.ReorderColumns(Expanded,{"Name", "Date", "Schedule"}),

#"Filled Down" = Table.FillDown(Reordered,{"Name"}),

#"Replaced Value" = Table.ReplaceValue(#"Filled Down",null,"Weekend",Replacer.ReplaceValue,{"Schedule"}),

#"Sorted Rows" = Table.Sort(#"Replaced Value",{{"Name", Order.Ascending}, {"Date", Order.Ascending}})

in

#"Sorted Rows"

And this got me the below output:

Image #2

Now, problem is happening when there is more than 1 name in the data source table like the below:

Here we get undesirable output and the transformation is applied only in the latest name in the list but not on the rest of the names

Image #3

[Jakinta]

You can paste this in Blank Query.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k1MT8kvzcnMU9JRstA30jcyMDIEMoMzMtNKlGJ10BUYE1JgQkiBKSEFZoQUWBJSYGhAUIUhQRUEg8KQYFgYonslFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, Date = _t, Schedule = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}}),
    Dates = Table.FromColumns({List.Transform({Number.From( (Date.From(List.Min(#"Changed Type"[Date]))))..Number.From( (Date.From(List.Max(#"Changed Type"[Date]))))}, Date.From)}, {"Date"}),
    Merged = Table.NestedJoin(Dates, {"Date"}, #"Changed Type", {"Date"}, "Gr", JoinKind.LeftOuter),
    Expanded = Table.ExpandTableColumn(Merged, "Gr", {"Name", "Schedule"}, {"Name", "Schedule"}),
    Reordered = Table.ReorderColumns(Expanded,{"Name", "Date", "Schedule"})
in
    Reordered

[Jakinta · Accepted solution]

This should do your thing.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k1MT8kvzcnMU9JRstA30jcyMDIEMoMzMtNKlGJ10BUYE1JgQkiBKSEFZoQUWBJSYGhAUIUhQRUEg8KQYFgYYvFKREVFBVDAHFtQw+WwmAyXwxLAcDkMj8cCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, Date = _t, Schedule = _t]),
    DateType = Table.TransformColumnTypes(Source,{{"Date", type date}}),
    Grouped = Table.Group(DateType, {"Name"}, {{"Date", each List.Transform({Number.From( (Date.From(List.Min(_[Date]))))..Number.From( (Date.From(List.Max(_[Date]))))}, Date.From) }}),
    #"Expanded Gr" = Table.ExpandListColumn(Grouped, "Date"),
    #"ChangedType" = Table.TransformColumnTypes(#"Expanded Gr",{{"Date", type date}}),
    #"FINAL" = Table.AddColumn(ChangedType, "Schedule", each if Date.DayOfWeek([Date],Day.Monday) >4 then "Weekend" else "Shift")// or do a merge with Source table if you have some other condition
in
    #"FINAL"

[Anonymous]

You're genius, thanks a million, you saved my day.

[Syndicate_Admin]

I needed just to correct the change type step to make the date as date, not datetime as this prevented the merging step to act properly and it’s worked so far.

Now, the problem is, the generated extra raws come as empty when it comes to the name as per the below screenshot: