Forum Discussion
Transform rows into one column
Hello,
I have a table with the following structure:
| Year_Month | Type | Value |
| 2023.01 | Production | 5 |
| 2023.01 | Production_Target | 7 |
| 2023.01 | Compliance | 8 |
| 2023.01 | Compliance_Target | 8 |
| 2023.02 | Production | 10 |
| 2023.02 | Production_Target | 12 |
| 2023.02 | Compliance | 4 |
| 2023.02 | Compliance_Target | 6 |
| 2023.03 | Production | 15 |
| 2023.03 | Production_Target | 13 |
| 2023.03 | Compliance | 11 |
| 2023.03 | Compliance_Target | 12 |
Rows where the Type column has the value "_Target" indicate that they are rows with target values for the respective Indicator Type (for example, the type "Production" is the actual production value for each month and the "Production-Target" is the expected value for each month). I want to create charts for each Type that show the actual value for each month and a goal line (which shows the "_Target" values for each month), but I'm not able to turn this table into a better way.
My expected table result would be this:
| Year_Month | Type | Value | Objective |
| 2023.01 | Production | 5 | 7 |
| 2023.02 | Production | 10 | 12 |
| 2023.03 | Production | 15 | 13 |
| 2023.01 | Compliance | 8 | 8 |
| 2023.02 | Compliance | 4 | 6 |
| 2023.03 | Compliance | 11 | 12 |
Hi Anonymous ,
Here are the steps you can follow：
1. In Power Query -- Add Column – Index Column – From 1.
2. Create calculated column.
Group = MINX( FILTER(ALL('Table'),'Table'[Year_Month]=EARLIER('Table'[Year_Month])),[Index])Type_Group = IF( CONTAINSSTRING('Table'[Type],"Production_Target")=TRUE() || CONTAINSSTRING('Table'[Type],"Compliance_Target")=TRUE() ,0,1)Sum = SUMX( FILTER(ALL('Table'), 'Table'[Index]<=EARLIER('Table'[Index])),[Type_Group])Rank = RANKX( FILTER(ALL('Table'), 'Table'[Group]=EARLIER('Table'[Group])&&'Table'[Sum]=EARLIER('Table'[Sum])),[Index],,ASC)Objective = IF( [Rank]= MINX( FILTER(ALL('Table'),'Table'[Sum]=EARLIER('Table'[Sum])),[Rank]), SUMX( FILTER(ALL('Table'), 'Table'[Sum]=EARLIER('Table'[Sum])&&'Table'[Rank]= MAXX( FILTER( ALL('Table'),'Table'[Sum]=EARLIER('Table'[Sum])),[Rank])),[Value] ))3. Create calculated table.
Table 2 = var _table=FILTER('Table',[Rank]=1) return SUMMARIZE( _table,[Year_Month],[Type],[Value],[Objective])4. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
1 Reply
Hi Anonymous ,
Here are the steps you can follow：
1. In Power Query -- Add Column – Index Column – From 1.
2. Create calculated column.
Group = MINX( FILTER(ALL('Table'),'Table'[Year_Month]=EARLIER('Table'[Year_Month])),[Index])Type_Group = IF( CONTAINSSTRING('Table'[Type],"Production_Target")=TRUE() || CONTAINSSTRING('Table'[Type],"Compliance_Target")=TRUE() ,0,1)Sum = SUMX( FILTER(ALL('Table'), 'Table'[Index]<=EARLIER('Table'[Index])),[Type_Group])Rank = RANKX( FILTER(ALL('Table'), 'Table'[Group]=EARLIER('Table'[Group])&&'Table'[Sum]=EARLIER('Table'[Sum])),[Index],,ASC)Objective = IF( [Rank]= MINX( FILTER(ALL('Table'),'Table'[Sum]=EARLIER('Table'[Sum])),[Rank]), SUMX( FILTER(ALL('Table'), 'Table'[Sum]=EARLIER('Table'[Sum])&&'Table'[Rank]= MAXX( FILTER( ALL('Table'),'Table'[Sum]=EARLIER('Table'[Sum])),[Rank])),[Value] ))3. Create calculated table.
Table 2 = var _table=FILTER('Table',[Rank]=1) return SUMMARIZE( _table,[Year_Month],[Type],[Value],[Objective])4. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly