About Histogram
Create frequency distribution histograms from continuous raw numbers. Features automated Sturges' binning, frequency counting, calculated Mean, Median, and Standard Deviation with SVG and 2x PNG export.
Key Capabilities & Features
- Automatic bin width calculation using Sturges' statistical formula
- Configurable bin count slider (3 to 12 bins) for custom frequency distributions
- Calculates statistical summary metrics: Mean (μ), Median, Min, Max, and Standard Deviation (σ)
- Displays frequency count badges directly above distribution bars
- 5 Curated Color Palettes: Modern Emerald, Cyberpunk Neon, Sunset Warm, Oceanic Navy, Monochrome Slate
- Dual Export: Pure scalable Vector SVG and High-Resolution 2x PNG via Canvas rasterizer
How to Use Histogram
Paste Numeric Dataset
Enter raw numbers separated by commas, spaces, or line breaks.
Adjust Bins
Use the slider to adjust the number of distribution intervals.
Inspect & Download
Review the summary statistics (Mean, Median, Std Dev) and download SVG or 2x PNG.
Privacy & In-Browser Execution Guarantee
100% client-side privacy. All calculations, parsing, and charting execute locally in your browser with zero server uploads.
Frequently Asked Questions
What is the difference between a bar chart and a histogram?
A bar chart compares discrete categorical groups (e.g. Apples vs. Oranges), whereas a histogram shows the continuous frequency distribution of numerical data across continuous range intervals.
How is Sturges' rule used?
Sturges' formula calculates optimal bin counts based on dataset sample size (k = 1 + 3.322 * log10(n)) to produce statistically balanced distributions.