What's changed: Created PL-300 Chapter 4 (domain: Visualize and analyze, part 2 = enhance and analyze): usability and storytelling (bookmarks, custom tooltips, edit interactions, sync slicers, selection pane, drillthrough, navigation, mobile), accessibility and personalization (alt text/tab order/contrast, Personalize visuals, automatic page refresh), and identifying patterns and trends (Analyze feature, binning/clustering, key influencers/decomposition tree, reference lines/forecasting, anomaly detection).
4.3Identify patterns and trends
Understand the Analyze feature, grouping/binning/clustering, AI visuals (key influencers/decomposition tree), reference lines/forecasting, anomaly detection, and Copilot summaries.
Beyond showing data, find patterns and drivers. Power BI’s analysis features and AI visuals help.
4.3.1Analyze feature and grouping/clustering
The Analyze feature (e.g., right-click "explain the increase/decrease") auto-analyzes which factors drove a change. Grouping bundles values, binning splits numbers into fixed-width intervals, and clustering auto-groups similar data points (binning = manual intervals, clustering = automatic classification).
4.3.2AI visuals
Key influencers show "the factors that most affect an outcome (e.g., churn)." A decomposition tree drills down to break a measure into contributors by dimension, with AI suggesting "the next dimension to split by." Smart narrative turns key points into text. Use "what most influences" = key influencers, and "drill down to decompose" = decomposition tree.
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