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

Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now

Reply
Anonymous
Not applicable

Pivot Data by Weekday

Hello! I am trying to either unpivot or pivot my data from the top format into the bottom format in order to calculate percent difference week over week. Thank you!

JB86_0-1666120260302.png

 

JB86_1-1666120357316.png

 

3 REPLIES 3
Anonymous
Not applicable

Sure thing

Week Ofday_abbrevService Level
9/4/2022Mon  0.98
9/4/2022Tues 0.86
9/4/2022Wed  0.85
9/4/2022Thurs0.84
9/4/2022Fri  0.77
9/25/2022Mon  0.51
9/25/2022Tues 0.94
9/25/2022Wed  0.91
9/25/2022Thurs0.91
9/25/2022Fri  0.92
9/18/2022Mon  0.64
9/18/2022Tues 0.86
9/18/2022Wed  0.77
9/18/2022Thurs0.9
9/18/2022Fri  0.7

 

Hopefully I've understood what you want, as you do not show the desired results based on the source data.

I assume you want the percent change for each weekdays Service Level.

Read the comments and explore the Applied Steps to understand the algorithm:

Original Data

ronrsnfld_0-1666139967811.png

let
    
//change next line to reflect your actual data source
    Source = Excel.CurrentWorkbook(){[Name="Table9"]}[Content],

//set correct data types
    #"Changed Type" = Table.TransformColumnTypes(Source,{
        {"Week Of", type date}, 
        {"day_abbrev", type text}, 
        {"Service Level", type number}
        }),

//Sort by Week Of, Descending
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"Week Of", Order.Descending}}),

//Group by Weekday
//   Generate List of percent changes based on week to week change
//   Return Week Of Date and Percent change columns
    #"Grouped Rows" = Table.Group(#"Sorted Rows", {"day_abbrev"}, {
        {"Change", (t)=>
            Table.FromColumns({t[Week Of]} & 
        {List.Generate(
            ()=>[d=(t[Service Level]{0} - t[Service Level]{1}) / t[Service Level]{1}, idx=0],
            each [idx] < (Table.RowCount(t)),
            each [d=try (t[Service Level]{[idx]+1} - t[Service Level]{[idx]+2}) / t[Service Level]{[idx]+2} otherwise null, idx=[idx]+1],
            each [d])}),
            type table[Column1=date, Column2=Percentage.Type]}
    }),
    #"Expanded Percent Change" = Table.ExpandTableColumn(#"Grouped Rows", "Change", 
        {"Column1", "Column2"},{"Week Of", "Percent Change"}),

//Pivot on Week Of, with no aggregaton
    #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded Percent Change", 
        {{"Week Of", type text}}, "en-US"), 
        List.Distinct(Table.TransformColumnTypes(#"Expanded Percent Change", 
            {{"Week Of", type text}}, "en-US")[#"Week Of"]), "Week Of", "Percent Change"),
    
//add day number column for sorting
// then sort by day number and remove that column
    #"Added Custom" = Table.AddColumn(#"Pivoted Column", "day number", 
        each List.PositionOf({"Mon","Tues","Wed","Thurs","Fri"},[day_abbrev])),
    #"Sorted Rows1" = Table.Sort(#"Added Custom",{{"day number", Order.Ascending}}),
    #"Removed Columns" = Table.RemoveColumns(#"Sorted Rows1",{"day number"})
in
    #"Removed Columns"

Results

ronrsnfld_1-1666140057011.png

 

 

ronrsnfld
Super User
Super User

It would be helpful if you posted your source data as text which can be copy/pasted, rather than as a screenshot.

Helpful resources

Announcements
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.

February Power BI Update Carousel

Power BI Monthly Update - February 2026

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

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.

Top Solution Authors