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Lesson42/59
Virtual top N tables

Sales of the top 3 products with TOPN

New functionsTOPN, SUMX
StatusNot started

TOPN(3, ALL(Product[Product]), [Sales Amount]) returns a table with the three best-selling products of the cell. It is a table, so you aggregate over it, for example with SUMX.

The top 3 are chosen per cell: German customers in 2024 may have a different top 3 than British customers in 2025.

Your task

Write Top 3 Sales: the Sales Amount of the three best-selling products in each cell.

*1*1*1*1SALEST1 · 420 ROWSSalesKeyNUMOrder DateDATEShip DateDATEProductKeyNUMCustomerKeyNUMQuantityNUMUnit PriceNUMPRODUCTT2 · 8 ROWSProductKeyNUMProductTEXTCategoryTEXTColorTEXTList PriceNUMStandard CostNUMCUSTOMERT3 · 10 ROWSCustomerKeyNUMCustomerTEXTCountryTEXTSegmentTEXTDATET4 · 731 ROWSDateDATEYearNUMQuarterTEXTMonthTEXTMonth NumberNUMNOTES1Filters flow from 1 to *, alongthe arrow: Product filters Sales.2Select a column or a measureto insert it at the cursor.3Measures in this model:[Sales Amount]Key columnFact tableSALES MODEL · STAR SCHEMASHEET 1 OF 1

About this exercise

You practise virtual top n tables with TOPN and SUMX. The exercise runs on a small bike-shop model with a Sales fact table and Product, Customer and Date dimensions, the same star schema in every lesson.

Your measure, Top 3 Sales, fills a Power BI-style matrix grouped by Customer[Country] and Date[Year]. As in a real report, each cell evaluates the measure in its own filter context, and the subtotals and the grand total are evaluated again in theirs rather than added up. When you check your answer, every cell is compared with the expected value, wrong cells are marked, and the hint is about the mistake you made.

Measures that already exist in the model: Sales Amount. Reference them in square brackets, for example [Sales Amount].

Where you start

Top 3 Sales =

The result to build

Expected result for Top 3 Sales
Year
Country20242025Total
France25,203.5019,904.4042,726.50
Germany29,862.5045,454.5075,187.00
Netherlands18,575.0024,948.0043,523.00
United Kingdom28,853.5019,316.0048,169.50
Total102,364.50107,241.50209,606.00

Last updated 10 November 2026

Opening the exercise…