Calculations based on other 2 datasets

Hi GokilaRaviraj 

You can refer to the following sample.

1.First, you need to unpivot your tables to the following.

You can refer to the following queries.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIyoBIRqxOt5ERtA52pbaALtQ10pbaBblQ1MBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Company = _t, OctCFY = _t, NovCfy = _t, DecCFY = _t, JanNfy = _t, Febnfy = _t, Marnfy = _t, Aprnfy = _t, maynfy = _t, junnfy = _t, Julnfy = _t, Augnfy = _t, Sepnfy = _t, Octnfy = _t, Novnfy = _t, Decnfy = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Company", type text}, {"OctCFY", Int64.Type}, {"NovCfy", Int64.Type}, {"DecCFY", Int64.Type}, {"JanNfy", Int64.Type}, {"Febnfy", Int64.Type}, {"Marnfy", Int64.Type}, {"Aprnfy", Int64.Type}, {"maynfy", Int64.Type}, {"junnfy", Int64.Type}, {"Julnfy", Int64.Type}, {"Augnfy", Int64.Type}, {"Sepnfy", Int64.Type}, {"Octnfy", Int64.Type}, {"Novnfy", Int64.Type}, {"Decnfy", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Company"}, "Attribute", "Value"),
    #"Uppercased Text" = Table.TransformColumns(#"Unpivoted Other Columns",{{"Attribute", Text.Proper, type text}})
in
    #"Uppercased Text"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTI0oBIRqxOt5ERtA52pbaALtQ10pbaBblQ1MBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Company = _t, OctCFY = _t, NovCfy = _t, DecCFY = _t, JanNfy = _t, Febnfy = _t, Marnfy = _t, Aprnfy = _t, maynfy = _t, junnfy = _t, Julnfy = _t, Augnfy = _t, Sepnfy = _t, Octnfy = _t, Novnfy = _t, Decnfy = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Company", type text}, {"OctCFY", Int64.Type}, {"NovCfy", Int64.Type}, {"DecCFY", Int64.Type}, {"JanNfy", Int64.Type}, {"Febnfy", Int64.Type}, {"Marnfy", Int64.Type}, {"Aprnfy", Int64.Type}, {"maynfy", Int64.Type}, {"junnfy", Int64.Type}, {"Julnfy", Int64.Type}, {"Augnfy", Int64.Type}, {"Sepnfy", Int64.Type}, {"Octnfy", Int64.Type}, {"Novnfy", Int64.Type}, {"Decnfy", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Company"}, "Attribute", "Value"),
    #"Uppercased Text" = Table.TransformColumns(#"Unpivoted Other Columns",{{"Attribute", Text.Proper, type text}})
in
    #"Uppercased Text"

2.Then create the following tables.

Type table

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Rc4xCoAwEETRu6T2EoJYBNTCMqSIYbUJYwhGyO0FYTPdY1iW75yxAfFsxg/OzHIol1CUYy5cm9JWkKnf1ku5S1Zu8VGu96ucJPYPAWAD2AA2cG1gA5nABrABbAAbwIaf/gM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Type = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Type", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type)
in
    #"Added Index"

Company table.

Company = SUMMARIZE('Admin Cost',[Company])

3.Create the following relationships among the tables.

4.Create the following measure.

MEASURE =
VAR a =
    GENERATESERIES ( 2, 23, 3 )
VAR b =
    SELECTEDVALUE ( 'Type'[Index] ) - 4
VAR c =
    SELECTEDVALUE ( 'Type'[Index] ) - 2
VAR d =
    CALCULATE (
        SUM ( 'Total Income'[Value] ),
        ALLSELECTED ( 'Type' ),
        'Type'[Index] <= c,
        'Type'[Index] >= b
    )
VAR e =
    CALCULATE (
        SUM ( 'Admin Cost'[Value] ),
        ALLSELECTED ( 'Type' ),
        'Type'[Index] <= c,
        'Type'[Index] >= b
    )
RETURN
    IF ( SELECTEDVALUE ( 'Type'[Index] ) IN a, d * 0.25 + e * 0.25, 0 )

5.Put the following fields to a matrix visual.

Output

Best Regards!

Yolo Zhu

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