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.
I have a requirement something similar to below:
Data:
Emp Group 1 Group 2 Group 3
| A | Group 1 | ||
| B | Group 2 | ||
| C | Group 1 | ||
| D | Group 2 | ||
| E | Group 3 | ||
| F | Group 1 |
I need to show this data in line and stacked column chart with X Axis as group 1, group 2, group 3 and Y axis as count against each group.
Thanks in advance
Solved! Go to Solution.
Hi @Anonymous ,
Please check the following step as below.
1. Unpivot the table in power query. Please check the M code for your reference.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUXIvyi8tUDAEskAoVidayQnChkgYwUSdsap1warWFaoCJmEMFnXDNCEWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Emp = _t, #"Group 1" = _t, #"Group 2" = _t, #"Group 3" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Emp", type text}, {"Group 1", type text}, {"Group 2", type text}, {"Group 3", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {}, "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Unpivoted Columns", each ([Attribute] <> "Emp"))
in
#"Filtered Rows"
2. Then create a measure as below and add it to the line chart to get the result as we need.
Measure = CALCULATE(COUNTROWS('Table1 (2)'),FILTER('Table1 (2)','Table1 (2)'[Value]<>BLANK()))
Please check the pbix as attached.
Regards,
Frank
Hi @Anonymous ,
Please check the following step as below.
1. Unpivot the table in power query. Please check the M code for your reference.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUXIvyi8tUDAEskAoVidayQnChkgYwUSdsap1warWFaoCJmEMFnXDNCEWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Emp = _t, #"Group 1" = _t, #"Group 2" = _t, #"Group 3" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Emp", type text}, {"Group 1", type text}, {"Group 2", type text}, {"Group 3", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {}, "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Unpivoted Columns", each ([Attribute] <> "Emp"))
in
#"Filtered Rows"
2. Then create a measure as below and add it to the line chart to get the result as we need.
Measure = CALCULATE(COUNTROWS('Table1 (2)'),FILTER('Table1 (2)','Table1 (2)'[Value]<>BLANK()))
Please check the pbix as attached.
Regards,
Frank
Thanks a lot Frank. This really helped![]()
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 |
|---|---|
| 35 | |
| 32 | |
| 26 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 68 | |
| 37 | |
| 32 | |
| 25 | |
| 23 |