The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
We have 3 tables in power Bi. First table has column Cluster, Category and Cost.
Cluster | Category | Cost |
A | CPU | 10 |
A | Network | 111 |
A | Disks | 21 |
B | CPU | 91 |
Second table has column Cluster, Projects in each cluster, timeseries ratio , non-timeseries ratio
Cluster | Projects | Blow ratio | Non-Blow ratio |
A | Delta | 0.423 | 0.577 |
A | Beta | 0.523 | 0.477 |
A | XYX | 0.19 | 0.81 |
B | YUSE | 0.322 | 0.678 |
B | BYLO | 0.2122 | 0.7878 |
and third table has column as Cluster, Kind which has value as Blow and non-Blow , Category and the ratio of each category.
Cluster | Kind | Category | Value |
A | Blow | CPU | 0.777 |
A | Blow | Network | 0.542 |
A | Non-Blow | CPU | 0.211 |
B | Blow | CPU | 0.982 |
A | Blow | Disks | 0.18 |
A | Non- Blow | Disks | 0.122 |
A | Non- Blow | Network | 0.776 |
and so On....
How can I calculate the cost of each category with Blow and Non-Blow Kind for each of the project in each cluster.
So at the end I will like to have two tables visuals one each for Blow and other for Non-Blow: This is for Blow kind(Category cost for each cluster * Blow ratio for that project in that cluster* Value of that category of that kind for that cluster from 3rd table)
Cluster | Project | Category | Cost |
A | Delta | CPU | 3.25 |
A | Delta | Network | 25.25 |
A | Delta | Disks | 1.59 |
A | Beta | CPU | 4.04 |
Hi @zzzsharepointk,
You can create a new table with time series and non-time series two types. Then you can extract the current type and add switch in your formula to calculated with different fields based on the type values.(you can add new table field to table visual 'visual level filter' to filter records)
formual =
VAR currType =
SELECTEDVALUE ( NewTable[Type] )
RETURN
CALCULATE (
SWITCH (
currType,
"timeseries", MAX ( Table2[Blow ratio] ),
"non-timeseries", MAX ( Table2[Non-Blow ratio] )
),
ALLSELECTED ( Table2 ),
VALUES ( Table2[Cluster] ),
VALUES ( Table2[Projects] )
)
* CALCULATE (
SUM ( Table1[Cost] ),
ALLSELECTED ( Table1 ),
VALUES ( Table2[Cluster] ),
VALUES ( Table1[Category] )
)
Regards,
Xiaoxin Sheng
Can you please show and tell?
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
115 | |
81 | |
80 | |
48 | |
40 |
User | Count |
---|---|
150 | |
110 | |
64 | |
64 | |
57 |