happytails.ai

Histogram bin explorer

Compare five histogram binning choices and inspect complete bin counts, fractions and densities.

Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Choose a manual bin count from 1 to 128. Use a value column. Compare Sturges, square-root, Scott, Freedman-Diaconis and manual bin counts. Bins include the left edge and exclude the right edge, except the final upper edge is included. A constant sample uses one padded bin. Zero-spread width rules fall back to Sturges; requests above 128 bins are capped and reported. Compare appearances without treating a binning choice as proof of a distribution or number of modes. Search and sort change this comparison only. Copy result copies the summary. Download JSON or CSV for all observations, results, settings and method assumptions. Download SVG for the chart. One disposable worker per calculation, with a 10-second timeout. CSV supports up to 100 columns and 100000 cells through the shared parser. Paste comma-separated CSV with a header and 2 to 2000 complete rows. Use dot decimals with at most six decimal places and values from -1000000000 to 1000000000. No missing values are silently dropped. Extra columns are used only to preserve the original input in reports. Calculations use the required columns only. Processing stays on your device. Results use floating-point arithmetic. Charts show the supplied sample, not proof about a population. Choose a manual bin count from 1 to 128. Use a value column. Compare Sturges, square-root, Scott, Freedman-Diaconis and manual bin counts. Bins include the left edge and exclude the right edge, except the final upper edge is included. A constant sample uses one padded bin. Zero-spread width rules fall back to Sturges; requests above 128 bins are capped and reported. Compare appearances without treating a binning choice as proof of a distribution or number of modes. Up to 1,000,000 characters. Review the settings before running.

Your result

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How to use Histogram bin explorer
  1. Paste complete numeric CSV rows with the required headers. Preserve the original order for lag diagnostics.
  2. Choose the displayed method settings and review their assumptions.
  3. Read the chart and table, then download all observations, results and assumptions as JSON or CSV.

Useful next steps

Histogram bin explorer

Choose a manual bin count from 1 to 128. Use a value column. Compare Sturges, square-root, Scott, Freedman-Diaconis and manual bin counts. Bins include the left edge and exclude the right edge, except the final upper edge is included. A constant sample uses one padded bin. Zero-spread width rules fall back to Sturges; requests above 128 bins are capped and reported. Compare appearances without treating a binning choice as proof of a distribution or number of modes.

Keep the complete data trail

Search and sort change this comparison only. Copy result copies the summary. Download JSON or CSV for all observations, results, settings and method assumptions. Download SVG for the chart. Group labels are preserved. Numeric CSV inputs use a decimal point; editable numeric settings also accept the selected language’s decimal notation.