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.
trying to get this formula from excel to work in BI. any ideas?
ROUNDUP(MAX(
IF([Wk 1 Tot]=0,-100,[Wk 1 Av]-([Wk 1 Tot]*0.1)),
IF([Wk 2 Tot]=0,-100,[Wk 2 Av]-([Wk 2 Tot]*0.1)),
IF([Wk 3 Tot]=0,-100,[Wk 3 Av]-([Wk 3 Tot]*0.1)),
IF([Wk 4 Tot]=0,-100,[Wk 4 Av]-([Wk 4 Tot]*0.1)),
IF([Wk 5 Tot]=0,-100,[Wk 5 Av]-([Wk 5 Tot]*0.1)),
IF([Wk 06 Tot]=0,-100,[Wk 06 Av]-([Wk 06 Tot]*0.1)),
IF([Wk 07 Tot]=0,-100,[Wk 07 Av]-([Wk 07 Tot]*0.1))),0)
Hi @Coffeeaddict ,
I am not clear about your requirement, if possible could you please inform me more detailed information(such as your expected output and your sample data)? Then I will help you more correctly.
Please do mask sensitive data before uploading.
Thanks for your understanding and support.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Wk 1 Tot | Wk 1 Av | Wk 01% | Wk 2 Tot | Wk 2 Av | Wk 02% | Wk 3 Tot | Wk 3 Av | Wk 03% | Wk 4 Tot | Wk 4 Av | Wk 04% | Wk 5 Tot | Wk 5 Av | Wk 05% | Wk 06 Tot | Wk 06 Av | Wk 06% | Wk 07 Tot | Wk 07 Av | Wk 07% | Wk 08 Tot | Wk 08 Av | Wk 08% | Wk 09 Tot | Wk 09 Av | Wk 09% | Wk 10 Tot | Wk 10 Av | Wk 10% | Wk 11 Tot | Wk 11 Av | Wk 11% | Wk 12 Tot | Wk 12 Av | Wk 12% | Wk 13 Tot | Wk 13 Av | Wk 13% | Wk 14 Tot | Wk 14 Av | Wk 14% | Wk 15 Tot | Wk 15 Av | Wk 15% | Wk 16 Tot | Wk 16 Av | Wk 16% | Wk 17 Tot | Wk 17 Av | Wk 17% | Wk 18 Tot | Wk 18 Av | Wk 18% |
80 | 14 | 17.50 | 56 | 12 | 21.43 | 19 | 3 | 15.79 | 42 | 12 | 28.57 | 52 | 31 | 59.62 | 14 | 10 | 71.43 | 14 | 6 | 42.86 | 26 | 19 | 73.08 | 32 | 30 | 93.75 | 13 | 11 | 84.62 | 28 | 26 | 92.9 | 34 | 33 | 97.06 | 48 | 47 | 97.92 | 41 | 39 | 95 | 34 | 33 | 97 | 48 | 48 | 100 | 13 | 13 | 100 | 0 | 0 | 0 |
sample data above, The formula is to work out how many items in the Av column is above or below 10% of the Tot column per week but return only the value for the best week and only interested in weeks 1 to 7.
In the data above the best week would be week 6. 14 items total this week so the AV column to hit 10% would be 1.4. 10 are in the Av column so this is 8.4 above what is required rounded up to return a value of 9
the formula needs to do the calulation above basically for each week 1-7 and return the highest value.
Hope that makes sense 🙂
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 |
---|---|
111 | |
97 | |
80 | |
69 | |
59 |
User | Count |
---|---|
150 | |
119 | |
104 | |
87 | |
67 |