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Histogram Maker

See the shape of your data — symmetric, skewed, or bimodal

A histogram groups numeric data into bins and draws a bar for each bin, with height proportional to frequency. Unlike a bar chart (which compares categories), a histogram reveals the shape of a distribution: is it bell-shaped? skewed? does it have multiple peaks (bimodal)?

This tool loads 50 ages drawn from a roughly normal distribution. Click Link Data to generate a histogram. You can then ask the AI to describe the shape, compute descriptive stats, or experiment with different bin widths to see how the picture changes.

Paste any numeric column CSV to histogram your own data.

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FAQ

How do I choose the right number of bins?
Too few bins hides the shape; too many creates a jagged, unreadable chart. A common rule is √n bins (square root of sample size). For n = 50, that is about 7 bins. The AI auto-selects bins but you can ask it to try a different number.
What does skewness mean?
Right-skewed (positive skew): the tail extends to the right — most values are low but a few are very high (e.g. incomes). Left-skewed (negative skew): the tail extends to the left. In a symmetric histogram the mean ≈ median.
What is a frequency distribution?
A frequency distribution lists how many values fall into each bin (interval). The histogram is the visual version. Relative frequency uses proportions (0 to 1) instead of raw counts, making distributions with different sample sizes comparable.
What is the difference between a histogram and a bar chart?
A bar chart compares separate categories (e.g. sales by region) — the bars can be reordered. A histogram shows the distribution of a continuous numeric variable — the bins are ordered and there are no gaps between bars.

Related Topics

Distribution FittingStatistics CalculatorBox Plot MakerData & Graphs