The Future of Data Visualization
summary
Argues that visualization tools must bake in perceptual smarts and automated exploration, showing that position and length outperform area and color via a live experiment where two shapes are both seven times larger but length comparisons are far more accurate. Describes tool work: Proto Viz, Vega, D3 for handcrafting, and automated systems like Trifacta visual profiler and Voyager that search thousands of charts, rank by statistical and perceptual measures, and surface patterns (e.g., donations spike near elections, weekdays/end of month; antibiotic data reveals misclassified bacteria).
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chapters (4)
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