Forum Discussion
Help with Data transformation and grouping
Hello,
I was hoping someone could help me with some data transformation.
My source data looks like the following:
| Batch | Process | Products | Supplier | Location |
| A1 | start | 100 | BA20 | 1 |
| A1 | end | 80 | BA20 | 1 |
| A2 | start | 100 | BA20 | 7 |
| A2 | qc | 90 | BA20 | 7 |
| A2 | test | 85 | BA20 | 7 |
| A2 | end | 80 | BA20 | 7 |
| B1 | start | 200 | BC55 | 2 |
| B1 | qc | 150 | BC55 | 2 |
| B1 | test | 125 | BC55 | 2 |
| B1 | end | 100 | BC55 | 2 |
| C1 | start | 500 | FB12 | 5 |
| C1 | qc | 495 | FB12 | 5 |
| C1 | end | 490 | FB12 | 5 |
my desired transformation output looks like the below:
| Batch | Supplier | Location | Start | QC | Test | End |
| A1 | BA20 | 1 | 100 | null | null | 80 |
| A2 | BA20 | 7 | 100 | 90 | 85 | 80 |
| B1 | BC55 | 2 | 200 | 150 | 125 | 100 |
| C1 | FB12 | 5 | 500 | 495 | null | 490 |
I'm struggling to arrive at the desired result using power query alone. I'm hoping that someone could show me the appropriate steps to make this transformation.
Cheers!
Hello Anonymous
Table.Pivot is the function you need
let Source = #table ( {"Batch","Process","Products","Supplier","Location"}, { {"A1","start","100","BA20","1"}, {"A1","end","80","BA20","1"}, {"A2","start","100","BA20","7"}, {"A2","qc","90","BA20","7"}, {"A2","test","85","BA20","7"}, {"A2","end","80","BA20","7"}, {"B1","start","200","BC55","2"}, {"B1","qc","150","BC55","2"}, {"B1","test","125","BC55","2"}, {"B1","end","100","BC55","2"}, {"C1","start","500","FB12","5"}, {"C1","qc","495","FB12","5"}, {"C1","end","490","FB12","5"} } ), ChangeType = Table.TransformColumnTypes(Source,{{"Products", Int64.Type}}), Pivot = Table.Pivot(ChangeType, List.Distinct(ChangeType[Process]), "Process", "Products", List.Sum) in PivotCopy paste this code to the advanced editor to see how the solution works. If this solution fits your need, copy and past a part of it and implement it in your query, or I could create a custom function what makes it easier to apply if you are not used that much to power query.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy
3 Replies
- artemusMicrosoft Employee
It would look something like:
Table.Group(PreviousStep, {"Batch", "Supplier", "Location"}, {{"Start", each Table.SelectRows(_, each [Process] = "start")[Products]{0}? }, {"QC", each Table.SelectRows(_, each [Process] = "qc")[Products]{0}?}, {"Test", each Table.SelectRows(_, each [Process] = "test")[Products]{0}?}, {"End", each Table.SelectRows(_, each [Process] = "end")[Products]{0}?}}) - Jimmy801Community Champion
Hello Anonymous
Table.Pivot is the function you need
let Source = #table ( {"Batch","Process","Products","Supplier","Location"}, { {"A1","start","100","BA20","1"}, {"A1","end","80","BA20","1"}, {"A2","start","100","BA20","7"}, {"A2","qc","90","BA20","7"}, {"A2","test","85","BA20","7"}, {"A2","end","80","BA20","7"}, {"B1","start","200","BC55","2"}, {"B1","qc","150","BC55","2"}, {"B1","test","125","BC55","2"}, {"B1","end","100","BC55","2"}, {"C1","start","500","FB12","5"}, {"C1","qc","495","FB12","5"}, {"C1","end","490","FB12","5"} } ), ChangeType = Table.TransformColumnTypes(Source,{{"Products", Int64.Type}}), Pivot = Table.Pivot(ChangeType, List.Distinct(ChangeType[Process]), "Process", "Products", List.Sum) in PivotCopy paste this code to the advanced editor to see how the solution works. If this solution fits your need, copy and past a part of it and implement it in your query, or I could create a custom function what makes it easier to apply if you are not used that much to power query.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy - Jimmy801Community Champion
Hello Anonymous
have you been able to solve the problem with the replies given?
If so, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
All the best
Jimmy