Histogram
Binned frequency display of a metric characteristic — shows location, spread and shape of the distribution.
Also known as: frequency distribution, binned distribution
A histogram divides the value range of a metric characteristic into equally wide bins and draws one bar per bin whose height gives the count of values inside it. It answers three questions at once: where does the distribution sit, how wide is it, and what shape does it have?
- Location — where is the centre of mass? Compare with mean and median
- Spread — how wide is the distribution? Relates to the standard deviation
- Shape — symmetric, skewed, bimodal or truncated
- Outliers — isolated bars far from the main body
The number of bins is the only real tuning knob and changes the picture considerably: too few smooth away real structure, too many create random spikes. Common rules of thumb are or Sturges' rule; Scott's bin width additionally accounts for the spread.
See also
Used in
Sources
- Scott, D. W. — On Optimal and Data-Based Histograms, Biometrika 66 (3), 1979
- Montgomery, D. C. — Introduction to Statistical Quality Control, 8th Edition
- Few, S. — Show Me the Numbers: Designing Tables and Graphs to Enlighten, 2nd Edition, Analytics Press, 2012