This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi All,
Good Day!!
I have table with Process, Month & SLA status, need your help to bring the month column in Table visual Columns like
Table
| Process | Month | SLA status |
| AP | 8-Aug | Missed |
| AP | 9-Sep | Met |
| AP | 10-Oct | Missed |
| AR | 8-Aug | Missed |
| AR | 9-Sep | Met |
| AR | 10-Oct | Missed |
| GA | 8-Aug | Missed |
| GA | 9-Sep | Met |
| GA | 10-Oct | Missed |
in Power Matrix Visual like below
| Process | Aug | Sep | Oct |
| AP | Met | Missed | Met |
| AR | Met | Met | Missed |
| GA | Met | Missed | Met |
Thanks in advance.
Solved! Go to Solution.
@Anonymous Could you please check your expected output...
Is it something like this you are looking for....
Please try this in "Power Query"...
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcgxQ0lGy0HUsTQfSvpnFxakpSrE6UHFL3eDUApB4aglC0NBA1z+5BE11EA5TgrCZEoTDFHdH7KaAxdFNAQtimBILAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Process = _t, Month = _t, #"SLA status" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Process", type text}, {"Month", type text}, {"SLA status", type text}}),
#"Inserted Text After Delimiter" = Table.AddColumn(#"Changed Type", "Text After Delimiter", each Text.AfterDelimiter([Month], "-"), type text),
#"Renamed Columns" = Table.RenameColumns(#"Inserted Text After Delimiter",{{"Text After Delimiter", "MonthNew"}}),
#"Removed Columns" = Table.RemoveColumns(#"Renamed Columns",{"Month"}),
#"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[MonthNew]), "MonthNew", "SLA status")
in
#"Pivoted Column"
Proud to be a PBI Community Champion
Hi @Anonymous,
Create a calculated column.
MonthName = RIGHT(Table5[Month],3)
Insert a Matrix visual.
Best regards,
Yuliana Gu
@Anonymous Could you please check your expected output...
Is it something like this you are looking for....
Please try this in "Power Query"...
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcgxQ0lGy0HUsTQfSvpnFxakpSrE6UHFL3eDUApB4aglC0NBA1z+5BE11EA5TgrCZEoTDFHdH7KaAxdFNAQtimBILAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Process = _t, Month = _t, #"SLA status" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Process", type text}, {"Month", type text}, {"SLA status", type text}}),
#"Inserted Text After Delimiter" = Table.AddColumn(#"Changed Type", "Text After Delimiter", each Text.AfterDelimiter([Month], "-"), type text),
#"Renamed Columns" = Table.RenameColumns(#"Inserted Text After Delimiter",{{"Text After Delimiter", "MonthNew"}}),
#"Removed Columns" = Table.RemoveColumns(#"Renamed Columns",{"Month"}),
#"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[MonthNew]), "MonthNew", "SLA status")
in
#"Pivoted Column"
Proud to be a PBI Community Champion
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 37 | |
| 28 | |
| 28 | |
| 19 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 38 | |
| 32 | |
| 28 | |
| 24 |