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Anonymous
Not applicable

Transforming the date range to list

Hi,

 

I am trying to convert the following table for the absence dates:

 

NameStart dateEnd date
John Doe01/15/201801/18/2018
Jane Doe01/25/201801/27/2018

 

to the following structure:

 

NameAbsence date
John Doe01/15/2018
John Doe01/16/2018
John Doe01/17/2018
John Doe01/18/2018
Jane Doe01/25/2018
Jane Doe01/26/2018
Jane Doe01/27/2018

 

Do you guys know a workaround for this?

 

Thanks in advance.

Ugur

1 ACCEPTED SOLUTION
AnkitBI
Solution Sage
Solution Sage

Try using below in Power Query. Source is using Enter Data. Primary function used is {Number.From([Start Date])..Number.From([End Date]) }

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8srPyFNwyU9V0lEyMNQ3NNU3MjC0gHIsIJxYHXRlRsjKjMyhymIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, #"Start Date" = _t, #"End Date" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Start Date", type date}, {"End Date", type date}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each {Number.From([Start Date])..Number.From([End Date]) }),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Custom",{{"Custom", type date}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Start Date", "End Date"})
in
    #"Removed Columns"

Output is as per your required.

 

 

Regards
AJ
Do Like Post if response seems good and Worth liking.
Do Mark as Solution if response resolved your Issue.

 

View solution in original post

4 REPLIES 4
AnkitBI
Solution Sage
Solution Sage

Try using below in Power Query. Source is using Enter Data. Primary function used is {Number.From([Start Date])..Number.From([End Date]) }

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8srPyFNwyU9V0lEyMNQ3NNU3MjC0gHIsIJxYHXRlRsjKjMyhymIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, #"Start Date" = _t, #"End Date" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Start Date", type date}, {"End Date", type date}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each {Number.From([Start Date])..Number.From([End Date]) }),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Custom",{{"Custom", type date}}),
    #"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Start Date", "End Date"})
in
    #"Removed Columns"

Output is as per your required.

 

 

Regards
AJ
Do Like Post if response seems good and Worth liking.
Do Mark as Solution if response resolved your Issue.

 

Anonymous
Not applicable

Hello AJ,

 

Thanks for the solution!

 

When I use the query it gives the error:

 

data format.error we couldn't parse the input provided as a Date value

 

Details: 01/15/2018

 

Most probably because my date format is dd/mm/yyyy in the source data, but I couldn't figure out how to fix.

 

Best regards,

Ugur

@Anonymous You will need to change from Text format to Date Format using Locale.

 

Check this Post on how to do it

 

https://community.powerbi.com/t5/Desktop/How-to-change-the-date-format/td-p/40460

Anonymous
Not applicable

Thank you! That worked well.

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