Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Learn more
Hello,
First of all, please excuse me for my bad English
It's been a long time since I've been unable to solve my problem and because I cannot explain it well, I have not been unable to find the solution online.
I have data loaded in this format
Index | Jalon 1_Date initiale | Jalon 1_Date révisée |
| Jalon 2_Date initiale | Jalon 2_Date révisée | Jalon 3_Date initiale | Jalon 3_Date révisée |
1 | 20/02/2021 | 20/03/2021 |
| 15/02/2021 | 15/03/2021 | 11/02/2021 | 11/03/2021 |
I want to transform this database to have this format
Index | Jalon Date initiale | Jalon Date révisée |
1 | 20/02/2021 | 20/03/2021 |
1 | 15/02/2021 | 15/03/2021 |
1 | 11/02/2021 | 11/03/2021 |
I feel like I've tried everything, if someone can help me that would allow me to finally continue on my project
Thanks in advance
Paul
Solved! Go to Solution.
This is similar to a question I've answered before.
Try pasting this into the Advanced Editor and looking at the steps in the query editor:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTLSNzIAIiMQ2xiJbaRvaIoQR7CB4oZI4lB2bCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, #"Jalon 1_Date initiale" = _t, #"Jalon 1_Date révisée" = _t, #"Jalon 2_Date initiale" = _t, #"Jalon 2_Date révisée" = _t, #"Jalon 3_Date initiale" = _t, #"Jalon 3_Date révisée" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Jalon 1_Date initiale", type date}, {"Jalon 1_Date révisée", type date}, {"Jalon 2_Date initiale", type date}, {"Jalon 2_Date révisée", type date}, {"Jalon 3_Date initiale", type date}, {"Jalon 3_Date révisée", type date}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Index"}, "ColName", "Date"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Columns", "ColName", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Jalon", "init_rev"}),
#"Pivoted Column" = Table.Pivot(#"Split Column by Delimiter", List.Distinct(#"Split Column by Delimiter"[init_rev]), "init_rev", "Date"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"Date initiale", "Jalon Date initiale"}, {"Date révisée", "Jalon Date révisée"}})
in
#"Renamed Columns"
This is similar to a question I've answered before.
Try pasting this into the Advanced Editor and looking at the steps in the query editor:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTLSNzIAIiMQ2xiJbaRvaIoQR7CB4oZI4lB2bCwA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, #"Jalon 1_Date initiale" = _t, #"Jalon 1_Date révisée" = _t, #"Jalon 2_Date initiale" = _t, #"Jalon 2_Date révisée" = _t, #"Jalon 3_Date initiale" = _t, #"Jalon 3_Date révisée" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Jalon 1_Date initiale", type date}, {"Jalon 1_Date révisée", type date}, {"Jalon 2_Date initiale", type date}, {"Jalon 2_Date révisée", type date}, {"Jalon 3_Date initiale", type date}, {"Jalon 3_Date révisée", type date}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Index"}, "ColName", "Date"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Columns", "ColName", Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv), {"Jalon", "init_rev"}),
#"Pivoted Column" = Table.Pivot(#"Split Column by Delimiter", List.Distinct(#"Split Column by Delimiter"[init_rev]), "init_rev", "Date"),
#"Renamed Columns" = Table.RenameColumns(#"Pivoted Column",{{"Date initiale", "Jalon Date initiale"}, {"Date révisée", "Jalon Date révisée"}})
in
#"Renamed Columns"
Thank you very much! This is exactly the result I needed
So much time wasted on such simple steps
You made my day ! 😁
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.