A practical comparison of explicit measures versus calculation groups in Power BI tabular/semantic models. The post walks through matrix visuals, column/bar charts, and Excel PivotTables to show how each approach behaves for report designers and consumers. Key findings: explicit measures allow renaming in visuals and are easier for self-service BI users, while calculation groups require more education and documentation. The author concludes that user needs should always take priority over technical elegance, favoring explicit measures organized in display folders for better usability.

6m read timeFrom towardsdatascience.com
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Table of contents
IntroductionThe user’s viewUsing Matrix VisualizationsUsing other visualization types (columns or bars)Pivot tables in ExcelThe user’s view – againConclusionReferences

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