The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hi all,
See model with data here: https://drive.google.com/file/d/1C19jmtujw53LD2YPwvLDq1uF_QLxRIu5/view?usp=sharing
I have the following data
Problem
Sales volume | Sales date | Currency |
1880 | 2019-04-01 | SEK |
1648 | 2019-05-02 | USD |
906 | 2019-06-03 | EUR |
1071 | 2019-07-04 | EUR |
1577 | 2019-07-04 | EUR |
749 | 2020-04-01 | EUR |
1085 | 2020-04-02 | EUR |
1061 | 2020-08-03 | USD |
1885 | 2020-04-04 | SEK |
649 | 2020-04-05 | CHF |
287 | 2021-04-01 | CHF |
1211 | 2021-04-15 | SEK |
1365 | 2021-04-03 | EUR |
755 | 2021-04-04 | SEK |
1908 | 2021-04-05 | USD |
1276 | 2021-04-06 | USD |
1654 | 2022-04-14 | SEK |
1993 | 2022-04-08 | CHF |
1697 | 2022-04-09 | CHF |
1928 | 2022-10-10 | SEK |
506 | 2022-04-11 | EUR |
985 | 2022-04-12 | SEK |
1951 | 2022-04-13 | SEK |
1327 | 2022-04-14 | SEK |
From currency | To currency | Valid from | Exchange rate |
CHF | SEK | 2019-05-06 | 12,1 |
USD | SEK | 2019-06-07 | 9,5 |
EUR | SEK | 2019-07-05 | 8,6 |
CHF | SEK | 2019-08-06 | 12,11 |
USD | SEK | 2019-09-07 | 9,57 |
EUR | SEK | 2019-10-05 | 8,3 |
CHF | SEK | 2020-05-06 | 12,1 |
USD | SEK | 2020-06-07 | 9,5 |
EUR | SEK | 2020-07-05 | 8,6 |
CHF | SEK | 2020-08-06 | 12,11 |
USD | SEK | 2020-09-07 | 9,57 |
EUR | SEK | 2020-10-05 | 8,3 |
CHF | SEK | 2021-05-06 | 12,1 |
USD | SEK | 2021-06-07 | 9,5 |
EUR | SEK | 2021-07-05 | 8,6 |
CHF | SEK | 2021-08-06 | 12,11 |
USD | SEK | 2021-09-07 | 9,57 |
EUR | SEK | 2021-10-05 | 8,3 |
CHF | SEK | 2022-05-06 | 12,1 |
USD | SEK | 2022-06-07 | 9,5 |
EUR | SEK | 2022-07-05 | 8,6 |
CHF | SEK | 2022-08-06 | 12,11 |
USD | SEK | 2022-09-07 | 9,57 |
EUR | SEK | 2022-10-05 | 8,3 |
Output
Solved! Go to Solution.
I solved this myself by importing a historial exchange rate table from investing.com (with ALL dates ranging from 2019 to 2022) and then following this guide:
I solved this myself by importing a historial exchange rate table from investing.com (with ALL dates ranging from 2019 to 2022) and then following this guide:
User | Count |
---|---|
16 | |
8 | |
7 | |
6 | |
5 |
User | Count |
---|---|
25 | |
13 | |
12 | |
8 | |
8 |