Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Next up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now

Reply
Anonymous
Not applicable

Line Chart with Multi-Output Data

Hello.

 

I'm looking to create a line chart with opportunity close date on the x-axis and win % on the y-axis. I am then looking to have 3 separate lines showing the win % by product over time. The complexity is that multiple products can be associated with a single opportunity and are listed in a single column of the data source. I want the lines in the chart to track the win % of a given product regardless of the other products associated with that opportunity - one line for product A, one line for B, and one line for C (so some opportunities will be counted more than once and contribute to the lines of more than one product). A hyper-simplified version of the data is shown below. Is this possible? Perhaps with some sort of nested if/ contains text calculation? 

 

Opportunity IDDate ClosedWon?Products
11/2/2018WonA
23/16/2018WonB, C
34/30/2019WonC, A
410/27/2019LostB, C, A
52/2/2020WonC
62/7/2020LostC, B
74/15/2020LostA, B
86/7/2020WonA
912/13/2020WonA, B, C
101/5/2021LostA

 

Any help would be greatly appreciated. 

1 ACCEPTED SOLUTION
v-deddai1-msft
Community Support
Community Support

Hi @Anonymous ,

 

First, you need to transform your table to below:

Capture5.PNG

 

Please refer to the M query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XZC7DsIwDEV/JcocKXHSB0yojwUJCTaGqgOiHZBQU7XpwN/juA0tXZLYx/faTlXxa9/bwU3dy33YueSClw/XsuJtx7bB6G67E163wTbT0428FhUHTIDUUis4zCV4ZoQ0voyE5J/lghWEDQaRNMrj4w8Xgs3qyBsjTAO/2NEt+lATY6ypuVarA6GEUBrQIkZlTjil5hDveBa4nzdZ5du1/CygJZgdRGlYDRT9CrnDxp3X9Rc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t, #"(blank).3" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}, {"(blank).3", type text}}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
    #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Opportunity ID", Int64.Type}, {"Date Closed", type date}, {"Won?", type text}, {"Products", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type1", "Products", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Products.1", "Products.2", "Products.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Products.1", type text}, {"Products.2", type text}, {"Products.3", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type2", {"Opportunity ID", "Date Closed", "Won?"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns"," ","",Replacer.ReplaceText,{"Value"})
in
    #"Replaced Value"

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Best Regards,

Dedmon Dai

 

View solution in original post

2 REPLIES 2
v-deddai1-msft
Community Support
Community Support

Hi @Anonymous ,

 

First, you need to transform your table to below:

Capture5.PNG

 

Please refer to the M query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XZC7DsIwDEV/JcocKXHSB0yojwUJCTaGqgOiHZBQU7XpwN/juA0tXZLYx/faTlXxa9/bwU3dy33YueSClw/XsuJtx7bB6G67E163wTbT0428FhUHTIDUUis4zCV4ZoQ0voyE5J/lghWEDQaRNMrj4w8Xgs3qyBsjTAO/2NEt+lATY6ypuVarA6GEUBrQIkZlTjil5hDveBa4nzdZ5du1/CygJZgdRGlYDRT9CrnDxp3X9Rc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t, #"(blank).3" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}, {"(blank).3", type text}}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
    #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Opportunity ID", Int64.Type}, {"Date Closed", type date}, {"Won?", type text}, {"Products", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type1", "Products", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Products.1", "Products.2", "Products.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Products.1", type text}, {"Products.2", type text}, {"Products.3", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type2", {"Opportunity ID", "Date Closed", "Won?"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns"," ","",Replacer.ReplaceText,{"Value"})
in
    #"Replaced Value"

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Best Regards,

Dedmon Dai

 

amitchandak
Super User
Super User

@Anonymous , I would suggest to split prodcut in power query in rows and then use it

https://www.tutorialgateway.org/how-to-split-columns-in-power-bi/

 

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Helpful resources

Announcements
New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

March Power BI Update Carousel

Power BI Community Update - March 2026

Check out the March 2026 Power BI update to learn about new features.