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Bar graph vs histogram
They look alike, but they answer different questions. A bar graph compares categories. A histogram shows how a list of numbers is spread out.
Both figures use made-up example data.
| Bar graph | Histogram | |
|---|---|---|
| Shows | Amounts for separate categories | How one set of measurements is spread out |
| Data you start with | A label and a number for each category | A list of raw numbers (scores, heights, times) |
| Category axis | Names: Dog, Cat, Fish | A number line split into equal ranges (bins) |
| Value axis | Whatever was measured: votes, dollars, minutes | How many values fall in each bin (frequency) |
| Gaps between bars | Yes: the categories are separate | No: each bin ends where the next begins |
| Can you reorder bars? | Yes: sort by size, A–Z, or keep a natural order | No: the order is the number line |
| What you look for | Biggest, smallest, how they compare | The shape: where values cluster, how wide they spread, skew, outliers |
| Width of a bar | Means nothing; all the same | The bin’s range of values |
Which one do I need?
Ask what your raw data looks like. If it’s a short list of names with numbers (5 pets and how many of each), make a bar graph. If it’s a long list of numbers on their own (30 test scores), make a histogram: the maker bins and counts them for you, and gives you the frequency table too.
A common mix-up: counting how many students got each letter grade gives categories (A, B, C), so that’s a bar graph, even though it came from scores. Counting how many got scores in each range of 10 is a histogram.