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Plotting the World: Why Logarithmic Scales Transform Data Exploration

선형을 벗어나다: 로그 스케일로 드러나는 글로벌 데이터의 숨은 패턴

Why it matters

When comparing countries with metrics spanning 100× to 250× ranges, linear scales render most data points invisible. Logarithmic transformation gives each order of magnitude equal visual weight, revealing correlations that linear visualization conceals. Understanding when to apply log scales is fundamental to meaningful statistical analysis of real-world data.

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scatter-plotlog scalePearson correlationVanilla JSglobal statistics

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