Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
7 years ago
Solved

Dynamic X-axis as per parameter selected

Hi,

 

I have three columns category,category1,category2 in my dataset.

how do I create a parameter to change x-axis dynamically 

When i select the category, the values should be based on category, if category 1 then values should be based on category 1

 

 

Thanks

  • Hi Anonymous ,

     

    One sample for your reference, please check the following steps as below.

     

    1. dupilicate the fact table, then tranpose and unpivot the table as below. M code for your reference.

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("HcipFQAgDETBXlZjAqGavAiO/muAHzNiIrTUtOxzwJQttLnOwag73ODA6y7nHExlPg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [category = _t, category.1 = _t, category.2 = _t, value = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"category", type text}, {"category.1", type text}, {"category.2", type text}, {"value", Int64.Type}}),
        #"Demoted Headers" = Table.DemoteHeaders(#"Changed Type"),
        #"Changed Type1" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type any}}),
        #"Transposed Table" = Table.Transpose(#"Changed Type1"),
        #"Filtered Rows" = Table.SelectRows(#"Transposed Table", each ([Column1] <> "value")),
        #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Filtered Rows", {"Column1"}, "Attribute", "Value"),
        #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Column1", "category type"}, {"Value", "category"}})
    in
        #"Renamed Columns"

    2. Create relationship between tables as below.

    3. To create a measure as below to make the goal achieved.

    Measure = 
    VAR c =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category], 'All'[category] )
        )
    VAR c1 =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category.1], 'All'[category] )
        )
    VAR c2 =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category.2], 'All'[category] )
        )
    VAR sele =
        SELECTEDVALUE ( 'All'[category type] )
    RETURN
        IF (
            ISBLANK ( sele ),
            BLANK (),
            SWITCH ( sele, "category", c, "category.1", c1, "category.2", c2 )
        )
    

     

2 Replies

  • v-frfei-msft's avatar
    v-frfei-msft
    Community Support

    Hi Anonymous ,

     

    One sample for your reference, please check the following steps as below.

     

    1. dupilicate the fact table, then tranpose and unpivot the table as below. M code for your reference.

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("HcipFQAgDETBXlZjAqGavAiO/muAHzNiIrTUtOxzwJQttLnOwag73ODA6y7nHExlPg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [category = _t, category.1 = _t, category.2 = _t, value = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"category", type text}, {"category.1", type text}, {"category.2", type text}, {"value", Int64.Type}}),
        #"Demoted Headers" = Table.DemoteHeaders(#"Changed Type"),
        #"Changed Type1" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type any}}),
        #"Transposed Table" = Table.Transpose(#"Changed Type1"),
        #"Filtered Rows" = Table.SelectRows(#"Transposed Table", each ([Column1] <> "value")),
        #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Filtered Rows", {"Column1"}, "Attribute", "Value"),
        #"Removed Columns" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"}),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Column1", "category type"}, {"Value", "category"}})
    in
        #"Renamed Columns"

    2. Create relationship between tables as below.

    3. To create a measure as below to make the goal achieved.

    Measure = 
    VAR c =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category], 'All'[category] )
        )
    VAR c1 =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category.1], 'All'[category] )
        )
    VAR c2 =
        CALCULATE (
            SUM ( 'fact table'[value] ),
            USERELATIONSHIP ( 'fact table'[category.2], 'All'[category] )
        )
    VAR sele =
        SELECTEDVALUE ( 'All'[category type] )
    RETURN
        IF (
            ISBLANK ( sele ),
            BLANK (),
            SWITCH ( sele, "category", c, "category.1", c1, "category.2", c2 )
        )