Five fundamental data visualization principles that transform AI-generated dashboards from pretty charts into actionable insights. Learn chart selection, design, narrative, and interactivity.

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Five practical steps for building useful AI-generated dashboards instead of just visually impressive ones. Covers starting with a clear question before prompting, matching chart types to question types using decision frameworks, designing with intentional color palettes and minimal clutter (referencing Tufte), building a narrative arc (setup, tension, insight, action), and adding interactivity only after the static dashboard is solid. Includes concrete prompt examples using WHO air quality data with Claude and MotherDuck Dive, plus anti-patterns to avoid like pie charts with many categories, 3D charts, and dual unrelated axes.

Vibe-Coding a Dashboard? Here Are 5 Steps So It Doesn't Suck

Step 1: Start With a Question, Not a Chart

Step 2: Match the Chart Type to the Question Type

Step 5: Make It Interactive — But Not Overwhelming