– the formula for the new sales column (the sum of sales from the initial table)Īfterward, SUMX takes care of steps 2 and 3 of the solution: it calculates the incentive for each row of the summary table and then adds it up. Let us understand the Summarize function with some example. ![]() – the name of a new column to add to the summarized table (Sales) – the columns to keep (only Salesperson and not Product) 10 contributors Feedback In this article Watch the video Get started Smart narrative for a page Smart narrative for a visual Show 4 more APPLIES TO: Power BI Desktop Power BI service The smart narrative visualization helps you provide a quick text summary of visuals and reports. Specifically, SUMMARIZE takes two parameters: The variable 'summarizedTable' takes care of step 1 of the solution, and gives us the summary table we need. ![]() Examples- GROUPBY is useful to group by columns with no lineage - Each column added by GROUPBY must iterate CURRENTGROUP(). The threshold should be checked on the total sales of each salesperson, not by product.ġ) Create a summary table by salesperson, removing the product detailĢ) Calculate the incentive for each row of this new tableģ) Add up the incentives to calculate the total Creates a summary the input table grouped by the specified columns. One approach to this can be to pre-populate all results into one table via UNION with Summarize in it. The incentive column is now wrong: it's checking whether the threshold of 80k$ is met on each product. For example if they click on the COF (Customer Order Fulfillment) KPI, the detailed table will show of cut cases by material, brand, and customer from the COF data source. ![]() Table with the wrong total and incentive column not workingĪnd the same incentive column formula as before Creates a summary the input table grouped by the specified columns.
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