Forum Discussion
Clustered Stacked Column Chart
I need to replicat this chart on PBI.
I have the total number of cases, divided by category, until April 2022 and the red rectangle shows a forecast of cases until the end of the year 2022.
Can anyone help?
- Anonymous2 years ago
The line can realize but if you want to realize display the forecast value in column chart, it cannot work.
The solution to implement the line, you can refer to the following solution.
1.Put the following code to Advanced Editor in power query.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcg4JUdJRMjYEEmbGQMICxDI0MAKTFkqxOtFKQanJIB5IwsQIRhiZgQhLqIKUVCDPACRiCiIsQOpBCgwhJoT4hzj6wHQaGoMUGpqCLTIxAbNNlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Type = _t, #"2019" = _t, #"2020" = _t, #"2021" = _t, #"2022" = _t, #"Forest 2022" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Type", type text}, {"2019", Int64.Type}, {"2020", Int64.Type}, {"2021", Int64.Type}, {"2022", Int64.Type}, {"Forest 2022", Int64.Type}}), #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"2019", "2020", "2021", "Forest 2022", "2022"}, "Attribute", "Value"), #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Only Selected Columns","Forest 2022","2022",Replacer.ReplaceText,{"Attribute"}), #"Changed Type1" = Table.TransformColumnTypes(#"Replaced Value",{{"Attribute", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type1", {"Type"}, {{"Count", each _, type table [Type=nullable text, Attribute=nullable number, Value=number]}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Count],"Index",1,1)), #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Count"}), #"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Attribute", "Value", "Index"}, {"Attribute", "Value", "Index"}), #"Added Custom1" = Table.AddColumn(#"Expanded Custom", "Custom", each if [Index] = 5 then "Forecast" else "Now"), #"Renamed Columns" = Table.RenameColumns(#"Added Custom1",{{"Attribute", "Year"}}), #"Removed Columns1" = Table.RemoveColumns(#"Renamed Columns",{"Index"}) in #"Removed Columns1"2.Create the following three measures
Sum = CALCULATE(SUM('Table'[Value]),FILTER('Table',[Type]<>"Total"&&[Custom]="Now")) Forest = CALCULATE(SUM('Table'[Value]),FILTER('Table',[Type]="TOTAL"&&OR([Year]=2021,[Year]=2022&&[Custom]="Forecast"))) TOTAL = CALCULATE(SUM('Table'[Value]),'Table','Table'[Custom]="Now",'Table'[Type]="TOTAL")Then put them to the visual field
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.
4 Replies
- AnonymousNot applicable
Can you provide some sample data or picture so that can provide more suggestion for you , the information you have offered is less.
Best Regards!
Yolo Zhu
- JoaoOliveira7New Member
Hello,
Here you have the table that feeds the chart.
- AnonymousNot applicable
The line can realize but if you want to realize display the forecast value in column chart, it cannot work.
The solution to implement the line, you can refer to the following solution.
1.Put the following code to Advanced Editor in power query.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcg4JUdJRMjYEEmbGQMICxDI0MAKTFkqxOtFKQanJIB5IwsQIRhiZgQhLqIKUVCDPACRiCiIsQOpBCgwhJoT4hzj6wHQaGoMUGpqCLTIxAbNNlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Type = _t, #"2019" = _t, #"2020" = _t, #"2021" = _t, #"2022" = _t, #"Forest 2022" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Type", type text}, {"2019", Int64.Type}, {"2020", Int64.Type}, {"2021", Int64.Type}, {"2022", Int64.Type}, {"Forest 2022", Int64.Type}}), #"Unpivoted Only Selected Columns" = Table.Unpivot(#"Changed Type", {"2019", "2020", "2021", "Forest 2022", "2022"}, "Attribute", "Value"), #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Only Selected Columns","Forest 2022","2022",Replacer.ReplaceText,{"Attribute"}), #"Changed Type1" = Table.TransformColumnTypes(#"Replaced Value",{{"Attribute", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type1", {"Type"}, {{"Count", each _, type table [Type=nullable text, Attribute=nullable number, Value=number]}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Count],"Index",1,1)), #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Count"}), #"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Attribute", "Value", "Index"}, {"Attribute", "Value", "Index"}), #"Added Custom1" = Table.AddColumn(#"Expanded Custom", "Custom", each if [Index] = 5 then "Forecast" else "Now"), #"Renamed Columns" = Table.RenameColumns(#"Added Custom1",{{"Attribute", "Year"}}), #"Removed Columns1" = Table.RemoveColumns(#"Renamed Columns",{"Index"}) in #"Removed Columns1"2.Create the following three measures
Sum = CALCULATE(SUM('Table'[Value]),FILTER('Table',[Type]<>"Total"&&[Custom]="Now")) Forest = CALCULATE(SUM('Table'[Value]),FILTER('Table',[Type]="TOTAL"&&OR([Year]=2021,[Year]=2022&&[Custom]="Forecast"))) TOTAL = CALCULATE(SUM('Table'[Value]),'Table','Table'[Custom]="Now",'Table'[Type]="TOTAL")Then put them to the visual field
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.