Use a histogram
Use a histogram when the shape of one numeric distribution matters. Touching bars reveal concentrations, gaps, skew, and the frequency of value ranges.
Create a histogram from raw numeric data and inspect the shape of its distribution. Paste values or import CSV and Excel files, then export the result for free.
Loading your locally saved graph…
Enter one numeric value per row, or paste and import a spreadsheet column.
Use the automatic intervals or open Customize to select a different bin count.
Adjust labels, color, and grid visibility, then download the completed histogram.
A histogram displays the frequency distribution of numeric observations. Values are grouped into continuous intervals called bins, and the height of each touching bar shows how many observations fall in that range.
Unlike a bar graph, a histogram uses numeric ranges rather than separate named categories. The order and width of the intervals carry meaning, so the bars touch instead of appearing as independent columns.
This online histogram maker accepts pasted data plus CSV and Excel files, safely excludes invalid observations, and lets you review or adjust the automatic bin count before exporting.
Place raw numeric observations in a column. Each row represents one measured value.
| Score |
|---|
| 72 |
| 84 |
| 67 |
| 91 |
| 76 |
| 88 |
| 94 |
| 71 |
Both charts summarize raw numeric observations, but they answer different questions about a distribution.
Use a histogram when the shape of one numeric distribution matters. Touching bars reveal concentrations, gaps, skew, and the frequency of value ranges.
Use a box plot when you need a compact summary of median, quartiles, spread, and outliers, especially when comparing several groups.
Histograms are useful when you want to understand how numeric observations are distributed across a continuous range.
See where test results or ratings are concentrated and whether the values are balanced or skewed.
Study variation in laboratory results, dimensions, durations, or other repeated measurements.
Find empty intervals, multiple peaks, or thin tails that deserve closer investigation.
A histogram groups nearby observations into intervals so the overall distribution is easier to see.
The editor chooses a practical number of bins from the number of valid observations.
Open Customize when you need to compare the same data with fewer or more intervals.
Each bar reports how many observations fall inside its displayed numeric range.
Generate a practical interval count based on the size of the dataset.
Choose a manual bin count from Customize when a different level of detail is useful.
Ignore blanks and clearly report non-numeric observations that were excluded.
Inspect the numeric range and observation count represented by each bar.
Paste raw values or import them from CSV and Excel files through the shared editor.
Save the project on this device and export the finished histogram as PNG, SVG, or CSV.
Answers about raw observations, intervals, imports, and excluded values.
Yes. You can create and export a histogram without signing up or adding a watermark.
Enter raw numeric observations in a column. Do not enter pre-counted categories unless you want a bar graph instead.
The automatic setting uses the number of valid observations to choose a readable bin count. You can select a different count inside Customize.
Blank cells are ignored. Invalid non-numeric values are excluded and reported beside the chart so the source data can be corrected.
Yes. Paste a spreadsheet column or upload CSV and XLSX files. Processing remains in your browser.