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Histogram Generator

Charts/Graphs

Exam Score Distribution

Data
Separate values with spaces, commas, semicolons, or new lines — any mix works. Text and headers are ignored.
Or drop a CSV / text file here

All numbers found in the file are used

Count: 40

Min: 56

Max: 95

Mean: 76.05

Median: 75.5

Std dev: 9.4

Customize

About This Tool

Histogram Generator – Visualize the Shape of Your Data

The Histogram Generatorturns a list of raw numbers into a distribution chart in seconds. Paste your values, upload a file, or edit the sample data, and the tool automatically groups every number into bins and draws the bars — no spreadsheet formulas or charting software required. Everything runs locally in your browser, so it's just as safe for a classroom dataset as it is for confidential business figures.

Flexible Data Entry

Type or paste numbers into the data box using any mix of spaces, commas, semicolons, or line breaks — the parser pulls out every valid number and quietly ignores headers, units, or stray text. Prefer to work from a file? Drop a CSV, TSV, or plain text file onto the upload zone and the same extraction runs automatically. A sample dataset of exam scores is preloaded so you can see how the chart behaves before bringing in your own numbers.

Automatic or Manual Binning

By default the generator applies Sturges' rule to pick a sensible number of bins from your sample size, then rounds the bin width to a clean step like 1, 2, 5, or 10 so the axis labels stay readable. If you want more control, untick Automatic bins and drag the slider to anywhere from 3 to 30 bins. Fewer bins smooth out noise and highlight the overall shape; more bins reveal finer detail such as gaps, clusters, or a second peak.

Count or Percent, Plus Summary Statistics

Switch the frequency mode between raw Count and Percent of total values — useful when comparing datasets of different sizes, since the shape stays identical but the y-axis rescales. Below the data box, the tool reports count, minimum, maximum, mean, median, and standard deviation. Comparing the mean and median is a fast skew check: when the mean sits well above the median, the distribution is typically pulled right by a few large values.

Reading the Shape

A histogram's value comes from its silhouette. A single rounded hump centered near the mean suggests a roughly normal distribution. A long tail on one side signals skew — income and wait-time data often skew right, for example. Two separate humps (a bimodal shape) usually mean the data actually comes from two different groups mixed together, which is worth investigating before treating the dataset as one population.

Export Exactly What You See

The export bar captures the chart exactly as framed — title, axes, and bars. Choose PNG for a crisp 2×-resolution image ready for a report or slide, SVG for a vector file that scales cleanly at any size, Copy image to paste the chart directly into an email or chat, or CSV to hand off the bin ranges and frequencies for further analysis elsewhere.

Your data stays on your device
Parsing, binning, and rendering all happen locally in your browser. Nothing you type, paste, or upload is sent to a server, so the generator is safe to use with unreleased or sensitive figures.

Frequently Asked Questions

Is the Histogram Generator free?

Yes, Histogram Generator is totally free :)

Can I use the Histogram Generator offline?

Yes, you can install the webapp as PWA.

Is it safe to use Histogram Generator?

Yes, any data related to Histogram Generator only stored in your browser (if storage required). You can simply clear browser cache to clear all the stored data. We do not store any data on server.

What is a histogram and how is it different from a bar chart?

A histogram shows the distribution of one numeric variable: the number line is cut into equal-width bins and each bar counts how many values fall in that bin. A bar chart compares separate categories, so its bars are interchangeable and spaced apart; histogram bars touch because the bins are consecutive intervals of the same scale.

How do I enter my data?

Paste or type your raw numbers into the data box — separated by spaces, commas, semicolons, or line breaks in any combination — or upload a CSV or text file. The tool extracts every valid number it finds and ignores everything else, so headers and stray text are harmless.

How is the number of bins chosen?

By default the tool applies Sturges' rule (⌈log₂ n⌉ + 1 bins for n values) and then rounds the bin width to a clean number like 1, 2, 5, or 10 so the edges are readable. Untick “Automatic bins” to set anywhere from 3 to 30 bins with the slider — fewer bins smooth the picture, more bins reveal detail.

What do the summary statistics show?

Beneath the data box the tool reports the count, minimum, maximum, mean, median, and sample standard deviation of your values. Comparing the mean and median is a quick skew check: a mean well above the median suggests a right-skewed distribution.

Can I show percentages instead of counts?

Yes — switch the frequency mode from Count to Percent and each bar shows the share of all values that falls in its bin. The shape of the histogram is identical; only the y-axis scale changes, which is handy when comparing datasets of different sizes.

How do I export the histogram, and is my data private?

Download the chart as a 2×-resolution PNG or a scalable SVG, copy the image to your clipboard, or download the bin table (bin range and frequency) as CSV. All parsing and binning happens locally in your browser — your data never leaves your device.