Runs entirely in your browser - no upload, no sign-up.
Distribution data
Separate values with commas, spaces, semicolons, or new lines. Scientific notation and negative values are accepted.
A histogram maker groups numeric observations into equal-width intervals called bins, then draws touching bars to show the shape of the distribution. Paste values or import a CSV column, choose automatic or manual bins, and inspect frequency, density, cumulative values, and summary statistics without sending your data to a server.
Paste numeric values separated by commas, spaces, semicolons, or lines, or upload a CSV or TSV file and select a numeric column.
Use Freedman-Diaconis for a robust automatic width, compare Sturges or square-root, or set an exact number of bins.
View raw frequency, relative frequency, probability density, or cumulative percent while the histogram updates live.
Review summary statistics and exact bin values, then copy or download the table and save the chart as PNG or SVG.
This tool is for continuous numeric observations such as test scores, response times, measurements, and prices. Unlike a general bar chart, a histogram places values on a number line and uses adjacent bars because each bin covers a continuous interval.
The table lists every bin boundary along with count, relative frequency, probability density, and cumulative percent. Download it as CSV for further analysis, save a ready-to-share PNG, or keep the chart as a scalable SVG.
No. Parsing, binning, statistics, chart rendering, and export happen in your browser. The numeric values and CSV contents are not sent to CanDoYa or stored in an account.
Yes. You can paste values, import a numeric CSV column, compare binning methods, change the bar scale, and export the chart or table without paying or signing up.
The tool accepts up to 100,000 numeric values and files up to 5 MB. The chart supports at most 100 bins so axes and the frequency table stay usable on ordinary browsers and mobile devices.
The default Freedman-Diaconis rule estimates bin width from the interquartile range and sample size. Sturges uses 1 plus the base-2 logarithm of the sample size, while square-root uses the rounded-up square root of the sample count.
Each value goes into the interval that starts at its boundary. Bins include the lower endpoint and exclude the upper endpoint, except the final bin, which includes the dataset maximum so no observation is lost.
Frequency is the number of observations in a bin. Relative frequency divides that count by the sample size. Probability density divides relative frequency by bin width, so the total area of all bars equals one.
Yes. Choose cumulative percent to make each bar show the share of observations at or below that bin's upper boundary. The last bar will equal 100 percent.
