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I have a data set as shown below.
| Order ID | Order Message | Order Product Quantity | Order Engg Name | Order Category | Order Bucket | Date |
| 217794857 | DL_EE_T1_A | 10 | James | Poor Light | 5-4-21 | |
| 217794857 | DL_EE_T1_A | 10 | James | HW issue | 5-4-21 | |
| 217794860 | DL_EE_T1_B | 8 | Rozer | Poor average | 5-5-21 | |
| 217794860 | DL_EE_T1_B | 8 | Rozer | Bulb issue | 5-5-21 | |
| 217794000 | DL_EE_T1_C | 20 | Charlie | Poor tire | 5-1-21 | |
| 217794000 | DL_EE_T1_C | 20 | Charlie | HW issue | 5-1-21 | |
| 217794100 | DL_EE_T1_D | 4 | Beta | Poor color | 5-7-21 | |
| 217794100 | DL_EE_T1_D | 4 | Beta | Quality issue | 5-7-21 |
I want to summarize the above table and need output as shown below. Kindly Help
| Order ID | Order Message | Order Product Quantity | Order Engg Name | Order Category | Order Bucket | Date |
| 217794857 | DL_EE_T1_A | 10 | James | Poor Light | HW issue | 5-4-21 |
| 217794860 | DL_EE_T1_B | 8 | Rozer | Poor average | Bulb issue | 5-5-21 |
| 217794000 | DL_EE_T1_C | 20 | Charlie | Poor tire | HW issue | 5-1-21 |
| 217794100 | DL_EE_T1_D | 4 | Beta | Poor color | Quality issue | 5-7-21 |
You can create a calculated table
Table 2 =
SUMMARIZE (
'Table',
[Order ID],
[Order Message],
'Table'[Order Product Quantity],
[Order Engg Name],
[Date],
"Order Category",
CALCULATE (
MIN ( 'Table'[Order Category] ),
'Table'[Order Category] <> BLANK ()
),
"Order Bucket", CALCULATE ( MIN ( 'Table'[Order Bucket] ), 'Table'[Order Bucket] <> BLANK () )
)
Output
Best Regards!
Yolo Zhu
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