Use logarithmic binning for distribution sparklines #43
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Linear histogram binning produces misleading sparklines for highly skewed distributions typical of PR metrics (e.g., median 24h but P95 of 19 days). Most values cluster in the first bin, showing █▁▁▁▁▁▁▁▁▁. Logarithmic binning spreads the data across bins proportionally to orders of magnitude, producing meaningful visualizations that show the actual shape of long-tailed distributions.
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Linear histogram binning produces misleading sparklines for highly skewed distributions typical of PR metrics (e.g., median 24h but P95 of 19 days). Most values cluster in the first bin, showing █▁▁▁▁▁▁▁▁▁.
Logarithmic binning spreads the data across bins proportionally to orders of magnitude, producing meaningful visualizations that show the actual shape of long-tailed distributions.