Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
I have a data in a certain format and it needs to be converted properly in Power query editor.
I tried using unpivot, Transpose and pivot operations.
But somehow im not able to transform it properly.
INPUT:
EXPECTED OUTPUT:
It will be great if somebody can solve this and explain step by step.
Thanks in advance!
Solved! Go to Solution.
Hi @Imagauthamam - In Power Query Editor and achieve the expected output as like below:
Mcode:
let
// Load the source data
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nRRitWJVvJLzE0FM3zykxNLMvPzwBxDMBmcmAuVykuBShhBJErzUhKLIPpTyxUi84uywRxjMOmYAtXnkpqTkakUGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
// Change column type
ChangedType = Table.TransformColumnTypes(Source, {{"Column1", type text}}),
// Add Index Column
AddIndex = Table.AddIndexColumn(ChangedType, "Index", 0, 1, Int64.Type),
// Create a Custom Column for Type
AddedCustom = Table.AddColumn(AddIndex, "Type", each if Number.Mod([Index], 3) = 0 then "ID" else if Number.Mod([Index], 3) = 1 then "Name" else "Location"),
#"Pivoted Column" = Table.Pivot(AddedCustom, List.Distinct(AddedCustom[Type]), "Type", "Column1"),
#"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index"}),
#"Removed Top Rows" = Table.Skip(#"Removed Columns",1),
#"Filled Down" = Table.FillDown(#"Removed Top Rows",{"ID", "Name", "Location"}),
#"Removed Duplicates" = Table.Distinct(#"Filled Down"),
#"Removed Duplicates1" = Table.Distinct(#"Removed Duplicates", {"Name"}),
#"Removed Top Rows1" = Table.Skip(#"Removed Duplicates1",1)
in
#"Removed Top Rows1"
Hope this helps
Proud to be a Super User! | |
Hi,
Can be done in a single step
let
Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
Custom1 = Table.FromRows(List.Split(Table.Skip(Source,3)[Column1],3),Table.FirstN(Source,3)[Column1])
in
Custom1
Hope this helps.
Hi,
Can be done in a single step
let
Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
Custom1 = Table.FromRows(List.Split(Table.Skip(Source,3)[Column1],3),Table.FirstN(Source,3)[Column1])
in
Custom1
Hope this helps.
Hi @Imagauthamam - In Power Query Editor and achieve the expected output as like below:
Mcode:
let
// Load the source data
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nRRitWJVvJLzE0FM3zykxNLMvPzwBxDMBmcmAuVykuBShhBJErzUhKLIPpTyxUi84uywRxjMOmYAtXnkpqTkakUGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
// Change column type
ChangedType = Table.TransformColumnTypes(Source, {{"Column1", type text}}),
// Add Index Column
AddIndex = Table.AddIndexColumn(ChangedType, "Index", 0, 1, Int64.Type),
// Create a Custom Column for Type
AddedCustom = Table.AddColumn(AddIndex, "Type", each if Number.Mod([Index], 3) = 0 then "ID" else if Number.Mod([Index], 3) = 1 then "Name" else "Location"),
#"Pivoted Column" = Table.Pivot(AddedCustom, List.Distinct(AddedCustom[Type]), "Type", "Column1"),
#"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index"}),
#"Removed Top Rows" = Table.Skip(#"Removed Columns",1),
#"Filled Down" = Table.FillDown(#"Removed Top Rows",{"ID", "Name", "Location"}),
#"Removed Duplicates" = Table.Distinct(#"Filled Down"),
#"Removed Duplicates1" = Table.Distinct(#"Removed Duplicates", {"Name"}),
#"Removed Top Rows1" = Table.Skip(#"Removed Duplicates1",1)
in
#"Removed Top Rows1"
Hope this helps
Proud to be a Super User! | |
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 57 | |
| 33 | |
| 33 | |
| 19 | |
| 18 |
| User | Count |
|---|---|
| 68 | |
| 67 | |
| 45 | |
| 30 | |
| 28 |