Forum Discussion
Merge & Sum Rows in Transform Data based on Multiple Criteria
So I have this table with locations named with IDs. Each ID can have data from multiple years, and multiple metric types. I want to merge and sum all the Water + Irrigation rows with matching ID/Year, and leave all the rest as-is. I want to do this in transform data, because I have other things I need to do with this table and data. Is this possible?
Original Table:
| Row | ID | Year | Metric Type | January Use |
| 1 | 12 | 2022 | Water | 25 |
| 2 | 12 | 2022 | Irrigation | 55 |
| 3 | 12 | 2021 | Electrcitiy | 28160 |
| 4 | 12 | 2022 | Electricity | 19760 |
| 5 | 423 | 2022 | Water | 46 |
| 6 | 423 | 2022 | Irrigation | 33 |
| 7 | 423 | 2022 | Natural Gas | 6340 |
8 | 89 | 2021 | Electricity | 21780 |
| 9 | 89 | 2022 | Natural Gas | 180 |
| 10 | 55 | 2022 | Water | 11 |
Desired Table
| Row | ID | Year | Metric Type | January Use |
| 1 | 12 | 2022 | Water | 80 |
| 2 | 12 | 2021 | Electrcitiy | 28160 |
| 3 | 12 | 2022 | Electricity | 19760 |
| 4 | 423 | 2022 | Water | 79 |
| 5 | 423 | 2022 | Natural Gas | 6340 |
6 | 89 | 2021 | Electricity | 21780 |
| 7 | 89 | 2022 | Natural Gas | 180 |
| 8 | 55 | 2022 | Water | 11 |
My suggestion would be to replace Irrigation as Water using replace values and then group by ID, Year and Metric Type, summing the January Use row. You can add in an index column after if it is needed.
4 Replies
My suggestion would be to replace Irrigation as Water using replace values and then group by ID, Year and Metric Type, summing the January Use row. You can add in an index column after if it is needed.
Anonymous Unpivot for the win!
Anonymous Sure, there is the ability to group rows in Power Query or you can use SUMMARIZE or GROUPBY in DAX.
