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Hello,
I am new to Power Query/Power BI. I have the below tables -
Ticket Data table
| Ticket | Start | Finish | Project | Size |
| JOK-45756 | 17/12/2019 | 17/12/2019 | JOK | 3 |
| JOK-693156 | 11/11/2019 | 17/12/2019 | JOK | 3 |
| JOK-638156 | 17/11/2019 | 9/12/2019 | JOK | 3 |
| JOK-481156 | 3/12/2019 | 9/12/2019 | JOK | 2 |
| PJMFV-100 | 1/12/2019 | PJMFV | 5 | |
| PJMFV-154 | 25/11/2019 | 16/12/2019 | PJMFV | 1 |
| PJMFV-57 | 11/11/2019 | 3/12/2019 | PJMFV | 3 |
Period Data table
| Project | Period Start | Period End | Period Name |
| JOK | 1/11/2019 | 14/11/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 15/11/2019 | 28/11/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| JOK | 29/11/2019 | 12/12/2019 | JOK PERIOD 3 (29/11/2019 - 12/12/2019) |
| JOK | 13/12/2019 | 26/12/2019 | JOK PERIOD 4 (13/12/2019 - 26/12/2019) |
| PJMFV | 2/11/2019 | 15/11/2019 | PJMFV PERIOD 1 (2/11/2019 - 15/11/2019) |
| PJMFV | 16/11/2019 | 29/11/2019 | PJMFV PERIOD 2 (16/11/2019 - 29/11/2019) |
| PJMFV | 30/11/2019 | 13/12/2019 | PJMFV PERIOD 3 (30/11/2019 - 13/12/2019) |
| PJMFV | 14/12/2019 | 27/12/2019 | PJMFV PERIOD 4 (14/12/2019 -27/12/2019) |
Project Lookup table
| Project | Name |
| JOK | Just Okay |
| PJMFV | Pletanque Junior Malian Fifth Valedictory |
Connections
Project in Ticket Data table is connected to Project in the Project Data table
Desired Output
For each Project I would like to calculate the sum of the Size of tickets started and finished within each period
When I filter for JOK:
| PERIOD NAME | START | FINISH |
| JOK PERIOD 1 (1/11/2019 - 14/11/2019) | 3 | |
| JOK PERIOD 2 (15/11/2019 - 28/11/2019) | 3 | |
| JOK PERIOD 3 (29/11/2019 - 12/12/2019) | 2 | 5 |
| JOK PERIOD 4 (13/12/2019 - 26/12/2019) | 3 | 6 |
When I filter for PJMFV:
| PERIOD NAME | START | FINISH |
| PJMFV PERIOD 1 (2/11/2019 - 15/11/2019) | 3 | |
| PJMFV PERIOD 2 (16/11/2019 - 29/11/2019) | 1 | |
| PJMFV PERIOD 3 (30/11/2019 - 13/12/2019) | 5 | 3 |
| PJMFV PERIOD 4 (14/12/2019 -27/12/2019) | 1 |
I've been searching for an answer to this without any success. Any guidance would be greatly appreciated.
Thanks!
Adam
Solved! Go to Solution.
Adam,
There are two aproaches to handle this.
1. Covert the existing tables into below format. Create a key combining project and Date and define relationship based on the key.
Ticket Data Table
| Ticket | Type | Date | Project | Size |
| OK-45756 | Start | 17/12/2019 | JOK | 3 |
| OK-45756 | Finish | 17/12/2019 | JOK | 3 |
| JOK-693156 | Start | 11/11/2019 | JOK | 3 |
| JOK-693156 | Finish | 17/12/2019 | JOK | 3 |
| JOK-638156 | Start | 17/11/2019 | JOK | 3 |
| JOK-638156 | Finish | 9/12/2019 | JOK | 3 |
Period Data Table
| Project | Period Name | Period Date |
| JOK | 11/1/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/2/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/3/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/4/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/5/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/6/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/7/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/8/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/9/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/10/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/11/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/12/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/13/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/14/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| PJMFV | 11/15/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/16/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/17/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/18/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/19/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/20/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/21/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/22/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/23/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/24/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/25/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/26/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/27/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/28/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
2. Create two calculated columns in Period Data table as below
Adam,
There are two aproaches to handle this.
1. Covert the existing tables into below format. Create a key combining project and Date and define relationship based on the key.
Ticket Data Table
| Ticket | Type | Date | Project | Size |
| OK-45756 | Start | 17/12/2019 | JOK | 3 |
| OK-45756 | Finish | 17/12/2019 | JOK | 3 |
| JOK-693156 | Start | 11/11/2019 | JOK | 3 |
| JOK-693156 | Finish | 17/12/2019 | JOK | 3 |
| JOK-638156 | Start | 17/11/2019 | JOK | 3 |
| JOK-638156 | Finish | 9/12/2019 | JOK | 3 |
Period Data Table
| Project | Period Name | Period Date |
| JOK | 11/1/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/2/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/3/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/4/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/5/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/6/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/7/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/8/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/9/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/10/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/11/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/12/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/13/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| JOK | 11/14/2019 | JOK PERIOD 1 (1/11/2019 - 14/11/2019) |
| PJMFV | 11/15/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/16/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/17/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/18/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/19/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/20/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/21/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/22/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/23/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/24/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/25/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/26/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/27/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
| PJMFV | 11/28/2019 | JOK PERIOD 2 (15/11/2019 - 28/11/2019) |
2. Create two calculated columns in Period Data table as below
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