GPT Explain to me : Hot Topics
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Data Architect specializing in modern analytics platforms across banking, education, and enterprise environments. Designing scalable lakehouse architectures with Microsoft Fabric, Azure, Databricks, Snowflake, and dbt, with strong expertise in Power BI, semantic modeling, DAX, and Power Query.
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🔍 Explain following DAX Code & it’s relevance:
AVERAGEX(
VALUES(Suppliers[SupplierID]),
CALCULATE(COUNT(Products[ProductID]))
)
🧠 Step-by-step Explanation:
VALUES(Suppliers[SupplierID])Creates a one-column table of distinct SupplierIDs.
This is the row context source — the iterator will loop through each supplier.
Inside
AVERAGEXDAX will iterate through each row (each supplier).
At each row, it evaluates the expression:
CALCULATE(COUNT(Products[ProductID]))
CALCULATE(...)triggers context transition:CALCULATEconverts the current row context (a single SupplierID) into an equivalent filter context.This means, for each supplier, it filters the Products table to include only products related to that supplier (via relationships).
Then, it counts the products for each supplier.
Finally,
AVERAGEXaverages the product counts across all suppliers.
✅ So yes, CALCULATE causes a context transition:
Without
CALCULATE,COUNT(Products[ProductID])wouldn’t be aware of the currentSupplierIDin row context.CALCULATEmakes that row context "visible" to the Products table by transitioning it into a filter.
🔁 In simple terms:
It says:
For each supplier, count how many products they have (by transitioning row context into filter context), then average those counts.
🧠 Expression:
AVERAGEX(
VALUES(Suppliers[SupplierID]),
CALCULATE(COUNT(Products[ProductID]))
)
🔁 Analogy: "Post Office Counter"
Imagine you're at a post office, and there's a list of supplier IDs.
VALUES(Suppliers[SupplierID])
→ This gives you a queue of customers (SupplierIDs) standing in line one by one.For each person (supplier) in the queue:
- You want to count how many packages (products) they sent.
But to know which products belong to that person, you need the system to filter the products table to just that one supplier.
That's what
CALCULATE(...)does
→ It takes the current person in the queue and says:“Hey, only show me products for this supplier.”
📊 Behind the scenes:
| Iteration | SupplierID | CALCULATE(COUNT(...)) evaluates as: |
| 1 | S-001 | Counts Products for S-001 |
| 2 | S-002 | Counts Products for S-002 |
| ... | ... | ... |
Then AVERAGEX averages those counts.
📌 Without CALCULATE?
AVERAGEX(
VALUES(Suppliers[SupplierID]),
COUNT(Products[ProductID])
)
This would not respect the current supplier, because COUNT doesn’t automatically see row context — you'd get the same total count for every supplier.
🧠 Context Transition Summary
| Context | Behavior |
| Row Context | Looping through values |
| Filter Context | Used by aggregators like COUNT, SUM |
CALCULATE | Transforms row → filter context |
So yes — CALCULATE is the key for enabling row context to be used in filters, i.e., context transition.






