Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hey guys,
I want to provide some insight on performance of our deals section, so I got data looking like this:
Table A - order positions
order_id | timestamp | product_id |
123 | 01.01.2021 | 123456789 |
456 | 04.01.2021 | 987654321 |
789 | 05.01.2021 | 123456789 |
321 | 08.01.2021 | 987654321 |
654 | 12.01.2021 | 345876112 |
987 | 15.01.2021 | 345876112 |
Table B - deal interval
deal_id | start_date | end_date | product_id |
1 | 02.01.2021 | 04.01.2021 | 987654321 |
2 | 05.01.2021 | 05.01.2021 | 123456789 |
I'd like to map the deal_id from table B to the affected order_ids in table A.
In other words, check for each row in table A if table_A.timestamp is between (>= && <=) table_B.start_date and table_B.end_date and if table_A.product_id = table_B.product_id.
If theres a match, get the corresponding deal_id into the new calculated column in table A for further uses in the overall data model.
I tried different approaches with DAX statements in a calculated column but I'm not getting quite there..
I'd be greatful for every help on how to solve this 🙂
Best,
Jano
Solved! Go to Solution.
@Jano , Create a new column in table 1
New column =
maxx(filter( Table2, Table1[product_id] = Table2[product_id] && Table2[start_date] <=Table1[Date] && Table2[end_date] <=Table1[Date] ), Table2[deal_id])
@Jano , Create a new column in table 1
New column =
maxx(filter( Table2, Table1[product_id] = Table2[product_id] && Table2[start_date] <=Table1[Date] && Table2[end_date] <=Table1[Date] ), Table2[deal_id])
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
107 | |
98 | |
78 | |
66 | |
53 |
User | Count |
---|---|
144 | |
104 | |
100 | |
86 | |
64 |