# Histogram Maker

Bin numeric data into intervals and draw a histogram to visualize a statistical distribution

> Canonical page: https://elysiatools.com/en/tools/histogram-maker

- **Category:** Data Visualization

- **Keywords:** histogram, statistics, distribution, binning, frequency, normal curve

## Overview

Parses a list of numbers, selects a bin count via Sturges / Freedman-Diaconis / Scott rules or a fixed count, counts the values per bin, and renders a bar-style SVG histogram with optional normal-curve overlay and a summary of descriptive statistics (mean, median, standard deviation, quartiles).

## Inputs

- **Data Values** (textarea): A list of numeric values to bin and plot
- **Binning Method** (select)
- **Number of Bins** (number): Used only when method is "Fixed Count"
- **Show Normal Curve** (checkbox)
- **Show Statistics** (checkbox)
- **Color Scheme** (select)

## When to use

- When you need to analyze the frequency distribution of a raw dataset without writing code.
- When comparing your empirical data distribution against a theoretical normal curve.
- When you want to quickly calculate descriptive statistics alongside a visual chart for reports.

## How it works

- Input your numeric values separated by commas, spaces, or newlines into the data field.
- Select your preferred binning method, such as Auto, Sturges, Freedman-Diaconis, or a fixed bin count.
- Configure visual options including the color scheme, normal curve overlay, and descriptive statistics display.
- Generate the interactive SVG histogram and review the calculated statistical summary.

## Use cases

- Analyzing student exam scores to evaluate grade distribution and class performance.
- Visualizing manufacturing part dimensions to check for variance and quality control.
- Examining website response times to identify latency patterns and outliers.

## Frequently asked questions

### What binning methods are supported?

The tool supports Auto, Sturges, Freedman-Diaconis (FD), Scott, and Fixed Count methods.

### How should I format my input data?

Enter your numbers separated by commas, spaces, or newlines directly into the text area.

### Can I overlay a normal distribution curve?

Yes, you can toggle the 'Show Normal Curve' option to overlay a theoretical normal curve on your histogram.

### What descriptive statistics are calculated?

The tool calculates and displays the mean, median, standard deviation, and quartiles of your dataset.

### Can I customize the colors of the histogram?

Yes, you can choose from Default, Warm, Cool, and Pastel color schemes.

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- [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
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- [Android Image Processing Kotlin Samples](https://elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion
- [Web Image Processing Rust Samples](https://elysiatools.com/en/samples/web-image-processing-rust): Web Rust image processing examples including image read/save, scaling, and format conversion

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