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Use logarithmic binning for distribution sparklines #43

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Merged
rtibbles merged 1 commit into from
Dec 18, 2025
Merged

Use logarithmic binning for distribution sparklines #43

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14 changes: 11 additions & 3 deletions scripts/pr-statistics.js
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,9 @@ function sparkline(values) {
}

/**
* Create a histogram from an array of values.
* Create a histogram from an array of values using logarithmic binning.
* This handles skewed distributions (common in time-based metrics) much better
* than linear binning by spreading out long-tailed data.
* Returns an array of bin counts.
*/
function histogram(values, numBins = 10) {
Expand All @@ -52,11 +54,17 @@ function histogram(values, numBins = 10) {
return bins;
}

const binWidth = (max - min) / numBins;
// Use logarithmic binning for better visualization of skewed distributions
// Add 1 to avoid log(0) issues and ensure all values are positive
const logMin = Math.log(min + 1);
const logMax = Math.log(max + 1);
const logBinWidth = (logMax - logMin) / numBins;

const bins = new Array(numBins).fill(0);

values.forEach(value => {
let binIndex = Math.floor((value - min) / binWidth);
const logValue = Math.log(value + 1);
let binIndex = Math.floor((logValue - logMin) / logBinWidth);
// Handle edge case where value equals max
if (binIndex >= numBins) binIndex = numBins - 1;
bins[binIndex]++;
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