Histogram Generator
Generate histograms instantly with our free online Histogram Generator. Visualize the frequency distribution of your continuous data by grouping values into bins. Ideal for statistical analysis, quality control, test scores, income distributions, measurement data, and any dataset where understanding the shape of the distribution matters. The tool automatically calculates optimal bin ranges using Sturges' rule or lets you set custom bin widths for full control.
What Is
A Histogram Generator is a statistical visualization tool that displays the frequency distribution of continuous data by grouping values into intervals (bins) and showing how many data points fall into each bin. This tool supports automatic bin calculation (Sturges' rule, Scott's rule, Freedman-Diaconis), custom bin count or width, frequency or density display, normal distribution overlay, cumulative histogram mode, and custom color schemes. The SVG renderer produces publication-quality charts with labeled axes, grid lines, and tooltips showing bin ranges and counts. Export as SVG or PNG for reports and academic papers.
How to Use
- Paste or enter your raw numerical data — the tool accepts comma-separated, tab-separated, or line-separated values.
- Choose automatic bin calculation (recommended) or set a custom number of bins/bin width manually.
- Select display mode: frequency (count per bin), relative frequency (proportion), or density (area-normalized).
- Toggle extras like normal distribution overlay, cumulative histogram mode, or custom bin ranges.
- Export your histogram as SVG or PNG, or copy the chart embed code for your research paper or presentation.
Related Searches
People also search for: histogram, frequency distribution, statistical chart, data distribution, bin analysis, normal distribution.
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Frequently Asked Questions
How many bins should I use?
The tool uses Sturges' rule (1 + log2(n)) as a default, which works well for most datasets. For larger datasets, Scott's rule provides narrower bins. For skewed distributions, Freedman-Diaconis is recommended. You can always override with a custom count.
What's the difference between a histogram and a bar chart?
Histograms show distributions of continuous numeric data (bins are ranges), while bar charts compare discrete categorical data. Histogram bars touch each other; bar chart bars are separated by gaps.
Can I overlay a normal distribution curve?
Yes — enable the normal distribution overlay to compare your data against a Gaussian curve with the same mean and standard deviation. This helps assess whether your data follows a normal distribution.
How much data can I input?
You can input up to 10,000 data points. The tool efficiently processes large datasets in real-time without any lag, making it suitable for research and professional data analysis.