Hi, As below, new data comes every week and it is being stacking up in the same folder for cumulative.The thing is its format is not stable and have more then 100 week history so I cannot make each week's dataset to unpivot to append in Power BI Query editor. Is there any way we can unpivot data source when we fetch them to query editor? Then no matter how columns changed, there will be no issue to append all the data.

Hi Anonymous , Thank you for reaching out to Microsoft Fabric Community. Thank you RicoZhou Ilgar_Zarbali for the prompt response. 1. Handling 50+ Columns Without Hardcoding You are right - hardcoding column names won’t scale. To handle any number of columns (even future ones), use: letSource = Excel.CurrentWorkbook(){[Name="YourTableName"]}[Content],// Replace "YourTableName" with your actual table or range nameUnpivoted = Table.UnpivotOtherColumns(Source, {"Block"}, "Week", "Value")inUnpivoted This automatically unpivots all columns except "Block", no matter how many there are or how often they change. 2. "Looping Through Each Block" Automatically You don’t need a manual loop. Power Query is already row-wise by design. Once unpivoted as shown above, your data will look like expected for example: Block Week ValueA Week 1 123 From here, you can: 1.Group by Block 2.Pivot Week if needed 3.Or analyze it as a clean, flat table So there's no need to loop manually.Power Query handles that for every block and week combo automatically. If this post helps, then please consider Accepting as solution to help the other members find it more quickly, don't forget to give a "Kudos" – I’d truly appreciate it! Thank you.

Unpivot data before expand/append | Microsoft Fabric Community

10 Replies

Ilgar_Zarbali
Super User
1 year ago
Yes, there is a solution using Power Query (M language) that allows you to dynamically unpivot tables even if their column names and counts differ each week. The goal is to normalize each week’s data to a standard three-column format (Week, Parameter, Value) before appending, regardless of how the parameter columns change weekly.
Here’s how you can handle it:
Solution Overview:
Combine files from the folder using Power Query.
Use metadata (like header positions or markers like "Week1") to detect the beginning of each week's block.
Loop through each block, extract the corresponding week label, and dynamically unpivot columns.Step-by-Step Power Query Logic (Conceptual):
Load the full file/folder and remove empty rows.
Add an index column to preserve row order.
Identify week markers (like "Week1", "Week2"...) using a conditional column (WeekLabel) which copies the value if the cell contains "Week", else null.
Fill down the week labels so each parameter row is tagged with the appropriate week.
Filter out week label rows (they only serve as headers).
Transpose the table, convert to a table, and then use Unpivot Columns on all columns except the WeekLabel.
Rename columns to Week, Parameter, and Value.
- Anonymous
  Not applicable
  1 year ago
  Hi,
  
  Your suggetion could be the solution but a bit difficult to follow up.
  Can you explain #3 step?
  
  fyi, my data looks like this when they are stacked up as raw:
  
  let
  Source = SharePoint.Contents("https://XXX.sharepoint.com/sites/XXX", [ApiVersion = 15]),
  #"Shared Documents" = Source{[Name="Shared Documents"]}[Content],
  #"KR Cell Status" = #"Shared Documents"{[Name="KR Cell Status"]}[Content],
  #"Filtered Rows CT" = Table.SelectRows(#"KR Cell Status", each [Name] = "KT" or [Name] = "SKT" or [Name] = "LGU+"),
  #"Listed Columns CT" = Table.ColumnNames(#"Filtered Rows CT"[Content]{0}),
  #"Expanded Custom CT" = Table.ExpandTableColumn(#"Filtered Rows CT", "Content", #"Listed Columns CT", List.Transform(#"Listed Columns CT", each "Custom/" & _)),
  #"Filtered Rows PM Data - KPI Trend" = Table.SelectRows(#"Expanded Custom CT", each ([#"Custom/Name"] = "PM Data - KPI Trend")),
  #"Listed Columns PM Data - KPI Trend" = Table.ColumnNames(#"Filtered Rows PM Data - KPI Trend"[#"Custom/Content"]{0}),
  #"Expanded Custom PM Data - KPI Trend" = Table.ExpandTableColumn(#"Filtered Rows PM Data - KPI Trend", "Custom/Content", #"Listed Columns PM Data - KPI Trend", List.Transform(#"Listed Columns PM Data - KPI Trend", each "Custom." & _)),
  #"Filtered Rows <> null" = Table.SelectRows(#"Expanded Custom PM Data - KPI Trend", each ([Custom.Name] <> null)),
  #"Listed Columns File" = Table.ColumnNames(#"Filtered Rows <> null"[Custom.Content]{0}),
  #"Expanded Custom File" = Table.ExpandTableColumn(#"Filtered Rows <> null", "Custom.Content", #"Listed Columns File", List.Transform(#"Listed Columns File", each "Custom-" & _)),
  #"Removed Other Columns" = Table.SelectColumns(#"Expanded Custom File",{"Custom-Content", "Custom-Name", "Custom-Date created", "Custom.Name", "Name"}),
  #"Added Year" = Table.AddColumn(#"Removed Other Columns", "Year", each Text.Start([#"Custom-Name"], 4)),
  #"Added Week" = Table.AddColumn(#"Added Year", "Week", each Text.Middle([#"Custom-Name"], 6, 2)),
  #"Added Period" = Table.AddColumn(#"Added Week", "Period", each [Year] & [Week]),
  #"Changed Type" = Table.TransformColumnTypes(#"Added Period",{{"Custom-Date created", type date}, {"Week", Int64.Type}, {"Period", Int64.Type}, {"Year", Int64.Type}}),
  #"Sorted Rows Descending Period" = Table.Sort(#"Changed Type",{{"Period", Order.Descending}}),
  
  #"Distinct Period" = Table.Distinct(Table.SelectColumns(#"Sorted Rows Descending Period", {"Period"})),
  #"Top N= 104 Period" = Table.FirstN(#"Distinct Period", 104),
  #"Joined Period and File" = Table.NestedJoin(#"Sorted Rows Descending Period", {"Period"}, #"Top N= 104 Period", {"Period"}, "Period Mapping", JoinKind.Inner),
  
  #"Added Weekly" = Table.AddColumn(#"Joined Period and File", "Weekly", each if [Year] = Date.Year(DateTime.LocalNow()) and [Week] >= Date.WeekOfYear(DateTime.LocalNow()) - 40 then "Keep" else "Remove"),
  #"Added Monthly" = Table.AddColumn(#"Added Weekly", "Monthly", each if [Week] = 5 or [Week] = 9 or [Week] = 13 or [Week] = 18 or [Week] = 22 or [Week] = 26 or [Week] = 31 or [Week] = 35 or [Week] = 39 or [Week] = 44 or [Week] = 48 or [Week] = 52 then "Keep" else "Remove"),
  #"Merged Weekly Monthly" = Table.AddColumn(#"Added Monthly", "Weekly/Monthly", each [Weekly] & " " & [Monthly]),
  #"Split Column by Delimiter Frequency | Region" = Table.SplitColumn(#"Merged Weekly Monthly", "Custom.Name", Splitter.SplitTextByEachDelimiter({"_"}, QuoteStyle.Csv, false), {"Custom.Name.1", "Custom.Name.2"}),
  #"Filtered Rows <> Remove Remove" = Table.SelectRows(#"Split Column by Delimiter Frequency | Region", each ([#"Weekly/Monthly"] <> "Remove Remove")),
  #"Add Custom Table for Sheet"= Table.AddColumn(#"Filtered Rows <> Remove Remove", "Custom", each Excel.Workbook([#"Custom-Content"])),
  #"Listed Columns Sheet" = Table.ColumnNames(#"Add Custom Table for Sheet"[Custom]{0}),
  #"Expanded Custom Sheet" = Table.ExpandTableColumn(#"Add Custom Table for Sheet", "Custom", #"Listed Columns Sheet", List.Transform(#"Listed Columns Sheet", each "Custom/" & _)),
  #"Filtered Rows 1st Sheet Contains ""System""" = Table.SelectRows(#"Expanded Custom Sheet", each Text.Contains([#"Custom/Name"], "System") or Text.Contains([#"Custom/Name"], "system")),
  #"Filtered Rows 5G" = Table.SelectRows(#"Filtered Rows 1st Sheet Contains ""System""", each ([Custom.Name.1] = "5G")),
  #"Listed Columns Value" = Table.ColumnNames(#"Filtered Rows 5G"[#"Custom/Data"]{0}),
  #"Expanded Custom Value" = Table.ExpandTableColumn(#"Filtered Rows 5G", "Custom/Data", #"Listed Columns Value", List.Transform(#"Listed Columns Value", each "Custom^" & _)),
  - RicoZhou
    Frequent Visitor
    1 year ago
    Hi Anonymous ，
    
    If you can ensure that there are two rows between the weekly data like your screenshot, you can try this workaround.
    Sample:
    M Code:
    let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCk9NzTZU0lFCQbE60UoBjkBWgBOIcAYRLiDCFSZraQlkYSPAstjMwyYGstyIgOVwewPcQIQ7fuuBBKkOMCbgAA8Q4Ykkh9XbILlYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}, {"Column5", type text}, {"Column6", type text}}), #"Added Custom" = Table.AddColumn(#"Changed Type", "Week", each if Text.Contains([Column1], "Week") then [Column1] else null), #"Filled Down" = Table.FillDown(#"Added Custom",{"Week"}), #"Filtered Rows" = Table.SelectRows(#"Filled Down", each not Text.Contains([Column1], "Week") and [Column1] <> ""), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Filtered Rows", {"Week"}, "Attribute", "Value"), #"Added Custom1" = Table.AddColumn(#"Unpivoted Other Columns", "Parameter", each if Text.Contains([Value], "P") then [Value] else null), #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Custom", each let _Week = [Week], _Attribute = [Attribute] in Table.SelectRows(#"Added Custom1", each [Week] = _Week and [Attribute] = _Attribute and [Parameter] <> [Value]) [Value]), #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom2", "Custom"), #"Added Conditional Column" = Table.AddColumn(#"Expanded Custom", "Flag", each if [Value] <> [Custom] then [Custom] else null), #"Filtered Rows1" = Table.SelectRows(#"Added Conditional Column", each ([Flag] = "99")), #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows1",{"Attribute", "Value", "Custom"}), #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Flag", "Value"}}) in #"Renamed Columns"
    Result is as below.
    
    Best Regards,
    Rico Zhou
Ilgar_Zarbali
Super User
1 year ago
Step #3: Dynamically Unpivot Columns with Week Label
Power Query Code Snippet (Step #3)
Here’s the code block for this step after your data is cleaned:

let
// Assume the cleaned data table is named #"Cleaned Table"
Source = #"Cleaned Table",
// Specify which columns to keep (others will be unpivoted)
ColumnsToKeep = {"Week", "Period"},
// Dynamically unpivot all other columns
UnpivotedData = Table.UnpivotOtherColumns(Source, ColumnsToKeep, "KPI Name", "KPI Value")
in
UnpivotedData
- Anonymous
  Not applicable
  1 year ago
  Loop through each block, extract the corresponding week label > what is looping each block? how can I do that automatically?
v-venuppu
Community Support
1 year ago
Hi Anonymous ,

Thank you for reaching out to Microsoft Fabric Community.

Thank you RicoZhou Ilgar_Zarbali for the prompt response.

1. Handling 50+ Columns Without Hardcoding

You are right - hardcoding column names won’t scale. To handle any number of columns (even future ones), use:

let
Source = Excel.CurrentWorkbook(){[Name="YourTableName"]}[Content],
// Replace "YourTableName" with your actual table or range name
Unpivoted = Table.UnpivotOtherColumns(Source, {"Block"}, "Week", "Value")
in
Unpivoted

This automatically unpivots all columns except "Block", no matter how many there are or how often they change.

2. "Looping Through Each Block" Automatically

You don’t need a manual loop. Power Query is already row-wise by design.

Once unpivoted as shown above, your data will look like expected for example:

Block Week Value
A Week 1 123

From here, you can:

1.Group by Block

2.Pivot Week if needed

3.Or analyze it as a clean, flat table

So there's no need to loop manually.Power Query handles that for every block and week combo automatically.

If this post helps, then please consider Accepting as solution to help the other members find it more quickly, don't forget to give a "Kudos" – I’d truly appreciate it!

Thank you.
v-venuppu
Community Support
1 year ago
Hi Anonymous ,

I want to check if you had the opportunity to review the information provided and resolve the issue.If the responses has addressed your query, please accept it as a solution and give a 'Kudos' so other members can easily find it.

Thank you.
v-venuppu
Community Support
1 year ago
Hi Anonymous ,

May I ask if you have resolved this issue? If so, please mark the helpful reply and accept it as the solution. This will be helpful for other community members who have similar problems to solve it faster.

Thank you.
v-venuppu
Community Support
1 year ago
Hi Anonymous ,

I hope this information is helpful.If this answers your question, please accept it as a solution,so other community members with similar problems can find a solution faster.

Thank you.

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