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raveenraveen
Frequent Visitor

How to get a dates populate based on prevous row without using index

I have a table as below:

Start  date     |     end  date         |    name |   alias |

01/01/2022 |  01/01/2024 | raj  | bhutan

05/01/2022 | 01/01/2024 | rem | india

 

I need to update the first row enddate column based on second row startdate.

As the dates successive dates are inclusive.

@power

2 ACCEPTED SOLUTIONS

@Anonymous

Can you please provide a solution using powerquery?

View solution in original post

Anonymous
Not applicable

Hi @raveenraveen ,

 

You can use the following code to implement the requirement.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtQ31DcyMDJS0lEqSswCkkkZpSWJeUqxOtFKpkhyqblAMjMvJTMRLAUS1jfTNwcKGpanAMmU8kKl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Start  date" = _t, name = _t, alias = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Start  date", type date}, {"name", type text}, {"alias", type text}}),
    test = Table.Sort(#"Changed Type",{{"Start  date", Order.Ascending}}),
    #"Added Custom" = Table.AddColumn(test, "Custom", (x)=> try List.Select(test[Start  date],(y)=>y>x[Start  date]){0} otherwise null     ),
    #"Changed Type1" = Table.TransformColumns(Table.TransformColumnTypes(#"Added Custom",{{"Custom", type date}}) , {"Custom",(x)=> Date.AddDays(x,-1)  }  ),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"Custom", "End  date"}}),
    #"Reordered Columns" = Table.ReorderColumns(#"Renamed Columns",{"Start  date", "End  date", "name", "alias"})
in
    #"Reordered Columns"

 Then the result is as follows.

vtangjiemsft_0-1666259632988.png

 

Best Regards,

Neeko Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. 

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

Hi @raveenraveen ,

 

According to your description, here are my steps you can follow as a solution.

(1)We can create a calculated column.

End date = 
var a=CALCULATE (
    MIN ( 'Table'[Start  date] ),
    FILTER (
        'Table',
        'Table'[Start  date]> EARLIER ( 'Table'[Start  date])
             )
    )
return IF(a<>BLANK(),a-1,BLANK())

(2)Then the result is as follows.

vtangjiemsft_0-1666249900329.png

 

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

 

Best Regards,

Neeko Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. 

@Anonymous

Can you please provide a solution using powerquery?

Anonymous
Not applicable

Hi @raveenraveen ,

 

You can use the following code to implement the requirement.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtQ31DcyMDJS0lEqSswCkkkZpSWJeUqxOtFKpkhyqblAMjMvJTMRLAUS1jfTNwcKGpanAMmU8kKl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Start  date" = _t, name = _t, alias = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Start  date", type date}, {"name", type text}, {"alias", type text}}),
    test = Table.Sort(#"Changed Type",{{"Start  date", Order.Ascending}}),
    #"Added Custom" = Table.AddColumn(test, "Custom", (x)=> try List.Select(test[Start  date],(y)=>y>x[Start  date]){0} otherwise null     ),
    #"Changed Type1" = Table.TransformColumns(Table.TransformColumnTypes(#"Added Custom",{{"Custom", type date}}) , {"Custom",(x)=> Date.AddDays(x,-1)  }  ),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"Custom", "End  date"}}),
    #"Reordered Columns" = Table.ReorderColumns(#"Renamed Columns",{"Start  date", "End  date", "name", "alias"})
in
    #"Reordered Columns"

 Then the result is as follows.

vtangjiemsft_0-1666259632988.png

 

Best Regards,

Neeko Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. 

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