Forum Discussion
Anonymous
7 years agoNot applicable
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...
- 7 years ago
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 ) )
v-frfei-msft
7 years agoCommunity 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 )
)
- Anonymous7 years agoNot applicable