Customize the graph
Choose automatic or custom bins, switch the y-axis scale, add mean and median markers, show a normal curve, and select a color palette that fits the destination.
Histogram guide
How to Make a Histogram Graph
This guide shows how to turn numeric data into a clean distribution chart with labels, styles, overlays, and export settings designed for real reports.
Use it when you need a visual answer to questions about spread, skew, center, tails, clusters, and outliers.
Download polished output
Export a sharp SVG or PDF when the destination supports vector graphics, or choose a high-DPI PNG for documents, slides, and publishing systems that require raster images.
FAQ
What makes a good histogram graph?
A good histogram uses a bin size that reveals the shape of the data without over-smoothing or amplifying noise. Clear axis labels with units, a descriptive title, and a y-axis that starts at zero all help readers interpret the chart accurately.
Can I add mean and median lines?
Yes. The style panel includes checkboxes for mean and median reference lines, a fitted normal curve, and a rug plot showing individual data points along the x-axis. These overlays are included in all export formats.
Can I use colorblind-safe palettes?
Yes. The color palette selector includes Okabe-Ito and Cividis, which are designed to remain distinguishable for the most common forms of color vision deficiency. A grayscale option is also available for charts that will be printed in black and white.
Make a histogram from your data
Paste numbers, upload a CSV or TXT file, choose bins, customize labels and styles, then export SVG, PDF, PNG, CSV, or JSON from the main tool.
Go to the histogram maker