Professional Detailing2 min read

Coating Trial Histograms: Keep Bin Choices Visible

A histogram can help show the distribution of coating-trial results, but its appearance depends on how values are grouped. State the bins and avoid choosing a grouping solely because it makes a product look more consistent.

Updated · NANOLAB Knowledge

The key distinction

Very broad bins can hide variation, while very narrow bins can make a small dataset look irregular. The useful display should support the question and remain connected to the underlying sample count. Where practical, show individual values or another complementary view so the reader can assess what the grouping conceals.

Practical checks

  1. Choose a bin approach appropriate to the data and comparison.
  2. Use consistent bins when comparing similar groups.
  3. Report sample counts and keep the source values available.

Example

Illustrative example: two product distributions are plotted with different bin widths, making one appear smoother. The visual contrast may reflect the chart settings rather than a meaningful product difference. Replotting with a common basis allows a fairer interpretation of the actual observations.

Scope and limits

Do not treat a histogram shape from a very small sample as proof of a population distribution. This guide does not select a statistical model. It explains a presentation choice that should remain transparent when a chart supports a coating-quality or consistency claim.

Related guidance

Ask NANOLAB about the exact product and intended use. Use the current product documentation for formulation-specific instructions.

Professional Detailing2 min read

Coating Trial Photographs: Keep Image Processing Consistent

Editing settings can change the apparent contrast, colour and clarity of a coating comparison. Preserve the original photographs and apply a consistent, disclosed processing approach when images are used as evidence.