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Histogram — Particle Size, with the Bin Rule Named

A size distribution binned by Freedman–Diaconis, with the rule stated in the figure. Bin width is the single choice that decides what a histogram appears to say — the same data at two widths shows one mode or three — so a histogram that does not name its rule is a figure whose main claim cannot be checked.

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Particle size distribution1 series (histogram). x from 0 to 14 — Diameter. y from 0 to 20 — Count. Series: Batch 7.Particle size distributionLaser diffraction, 240 particles · 1 series · 54 pointsBatch 7: 6 between 4.1 and 4.85Batch 7: 11 between 4.85 and 5.59Batch 7: 16 between 5.59 and 6.34Batch 7: 8 between 6.34 and 7.08Batch 7: 5 between 7.08 and 7.83Batch 7: 3 between 7.83 and 8.57Batch 7: 1 between 8.57 and 9.32Batch 7: 1 between 9.32 and 10.1Batch 7: 1 between 10.1 and 10.8Batch 7: 1 between 10.8 and 11.6Batch 7: 1 between 11.6 and 12.302468101214Diameter (µm)05101520CountThe bin count is chosen by Freedman–Diaconis and stated in the strip below. Add "bins: 12" to the histogram line to fix it yourself — and say so in the caption if you do.«Batch 7»: 11 bins, chosen by Freedman–Diaconis.

Make it your own.

title: Particle size distribution
subtitle: Laser diffraction, 240 particles
x: Diameter (µm)
y: Count
grid: y

histogram "Batch 7"
  4.1 4.3 4.4 4.6 4.6 4.7 4.9 5.0 5.0 5.1 5.2 5.2 5.3 5.4 5.4 5.5
  5.5 5.6 5.6 5.7 5.7 5.8 5.8 5.9 5.9 6.0 6.0 6.1 6.1 6.2 6.2 6.3
  6.3 6.4 6.4 6.5 6.6 6.7 6.8 6.9 7.0 7.1 7.2 7.4 7.6 7.8 8.0 8.2
  8.5 8.9 9.4 10.1 11.0 12.3

note: The bin count is chosen by Freedman–Diaconis and stated in the strip below. Add "bins: 12" to the histogram line to fix it yourself — and say so in the caption if you do.