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Anonymous
Not applicable

Dynamic Filter

Hi Folks,

 

I'm trying to filter every 3 last months > 0.

 

e.g.: 

Williamspsouza_0-1633551510858.png

The last three months to "DEF" was 0. I need to remove it from my table.

 

Any ideias?

 

Ty guys!!

1 ACCEPTED SOLUTION
edhans
Community Champion
Community Champion

Try this code @Anonymous 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bc49DoAgDIbhu3QmKVAjOKr4dwbC/a8hoUvN5/INz/C2tVJiCRx9DORo3fa+npqrlMHj8IXFf12G2045zt+OdduxbjvX/fTN0FFP0FHXzgx/TuB6F1073dsL", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Attribute = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Value", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Prev3Mo", each Date.IsInPreviousNMonths([Date],3)),
    #"Grouped Rows" = Table.Group(#"Added Custom", {"Attribute", "Prev3Mo"}, {{"Total", each List.Sum([Value]), type nullable number}, {"All Rows", each _, type table [Date=nullable date, Attribute=nullable text, Value=nullable number, Prev3Mo=logical]}}),
    #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Total] <> 0)),
    #"Expanded All Rows" = Table.ExpandTableColumn(#"Filtered Rows", "All Rows", {"Date", "Value"}, {"Date", "Value"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded All Rows",{"Total", "Prev3Mo"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Date", "Attribute", "Value"})
in
    #"Reordered Columns"

 

 

It turns this:

edhans_0-1633555850820.png

into this

edhans_1-1633555888639.png

What I did is this:

  1. Included 4 months of data.
  2. Added a function that evaluated the date and returns TRUE if it is in the last 3 months. It is Date.IsInPreviousNMonths.
  3. I grouped by the Prev3Mo and Attribute column, and summed the value, and added an All Rows aggregation.
  4. edhans_2-1633556013048.png

     

  5. Then I filtered out the Total where it was zero. Here you can optionally also discard all of the false values for the Prev3Mo if you won't want them, or keep them. I kept them here, so this code will not destroy old data unless you filter them out.
  6. Then I expanded the All Rows column repopulating the table with the Date and Value only. Attribute was already there.
  7. Then I removed the extra columns.

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


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MCSA: BI Reporting

View solution in original post

2 REPLIES 2
edhans
Community Champion
Community Champion

Try this code @Anonymous 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bc49DoAgDIbhu3QmKVAjOKr4dwbC/a8hoUvN5/INz/C2tVJiCRx9DORo3fa+npqrlMHj8IXFf12G2045zt+OdduxbjvX/fTN0FFP0FHXzgx/TuB6F1073dsL", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Attribute = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Value", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Prev3Mo", each Date.IsInPreviousNMonths([Date],3)),
    #"Grouped Rows" = Table.Group(#"Added Custom", {"Attribute", "Prev3Mo"}, {{"Total", each List.Sum([Value]), type nullable number}, {"All Rows", each _, type table [Date=nullable date, Attribute=nullable text, Value=nullable number, Prev3Mo=logical]}}),
    #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Total] <> 0)),
    #"Expanded All Rows" = Table.ExpandTableColumn(#"Filtered Rows", "All Rows", {"Date", "Value"}, {"Date", "Value"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded All Rows",{"Total", "Prev3Mo"}),
    #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Date", "Attribute", "Value"})
in
    #"Reordered Columns"

 

 

It turns this:

edhans_0-1633555850820.png

into this

edhans_1-1633555888639.png

What I did is this:

  1. Included 4 months of data.
  2. Added a function that evaluated the date and returns TRUE if it is in the last 3 months. It is Date.IsInPreviousNMonths.
  3. I grouped by the Prev3Mo and Attribute column, and summed the value, and added an All Rows aggregation.
  4. edhans_2-1633556013048.png

     

  5. Then I filtered out the Total where it was zero. Here you can optionally also discard all of the false values for the Prev3Mo if you won't want them, or keep them. I kept them here, so this code will not destroy old data unless you filter them out.
  6. Then I expanded the All Rows column repopulating the table with the Date and Value only. Attribute was already there.
  7. Then I removed the extra columns.

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
KNP
Super User
Super User

Should be simple enough.

Got any sample data (not a screenshot)?

And perhaps your current M code from your queries?

Have I solved your problem?
Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;).
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