This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hello All,
I am trying to replicate the logic from this blog -> https://blog.enterprisedna.co/discover-your-top-products-per-region-in-power-bi-wdax/
where the following logic is used:
to produce the following:
However I would now like to take things further... how might one adapt this logic to only analyse those products where the quantity sold was more than 100 for example?
My thinking is that I create a virtual table of these products only, along the lines of:
VAR _table = ADDCOLUMNS(VALUES(Products[Product Name]), "Count", CALCULATE(SUM(Sales[Quantity]))
VAR _filteredtable = FILTER(_table, [Count] > 100)
I am stumped however as to how to then use this _filteredtable within the TOPN function as I cannot apply the ALL function to a virtual table.
Cannot anyone help solve this problem? Thanks.
Solved! Go to Solution.
Try
Top 2 Product Per Region =
VAR RankingContext =
VALUES ( 'Product'[Product Name] )
RETURN
CALCULATE (
[Total Sales],
TOPN (
2,
FILTER (
ALL ( 'Products'[Product Name] ),
CALCULATE ( SUM ( Sales[Quantity] ) ) > 100
),
[Total Sales]
),
RankingContext
)
Try
Top 2 Product Per Region =
VAR RankingContext =
VALUES ( 'Product'[Product Name] )
RETURN
CALCULATE (
[Total Sales],
TOPN (
2,
FILTER (
ALL ( 'Products'[Product Name] ),
CALCULATE ( SUM ( Sales[Quantity] ) ) > 100
),
[Total Sales]
),
RankingContext
)
perfect! simpler than expected.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 29 | |
| 22 | |
| 22 | |
| 20 | |
| 15 |
| User | Count |
|---|---|
| 64 | |
| 41 | |
| 26 | |
| 22 | |
| 21 |