Histogram Generator
Visualise value distributions by grouping numbers into equal-width frequency bins.
Histogram
4–5.13 · 5.13–6.25 · 6.25–7.38 · 7.38–8.5 · 8.5–9.63 · 9.63–10.75 · 10.75–11.88 · 11.88–13
A histogram shows how often values fall into equal-width ranges.
How it works
- 1Enter your numbers separated by commas or spaces, then set how many bins you want (1–20).
- 2The tool finds the minimum and maximum value and divides that span into equal-width bins, counting how many values land in each.
- 3A bar chart renders the counts so you can spot the shape of your distribution — symmetric, skewed, or multi-modal — at a glance.
Use cases
- Exploring the spread of test scores, measurements, or sensor readings before deeper analysis.
- Checking whether a dataset is roughly normally distributed for modelling assumptions.
- Presenting data summaries in reports or classroom exercises without Excel or Python.
Frequently asked questions
How many bins should I use?
A common rule of thumb is the square root of the sample size. For 100 values try 10 bins; for 25 values try 5. Too few bins hide structure; too many produce noisy single-value bars.
What happens when all values are identical?
When every number is the same, the min equals the max and there is one bin covering that single value, so you see one full-height bar.
Are the bin boundaries inclusive or exclusive?
Each bin covers [start, end) — start included, end excluded — except the last bin, which includes the maximum value so no data point is dropped.
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