Histogram Maker: Examples & Data Guide

When to choose this chart

A histogram groups numeric observations into intervals to show their distribution. Unlike a bar chart, its horizontal positions are value ranges rather than named categories.

Prepare and map your fields

Select numeric observation columns, not a table of already aggregated category counts. Choose an appropriate bin count and inspect any missing or invalid observations.

Import the underlying measurements and select the series to analyze.

Try more than one reasonable bin count to see whether apparent peaks are stable.

Label the measurement unit and review the number of included observations.

Read the result correctly

Read each bar as the number of observations in its numeric interval. A wide-looking range of values is different from a large count inside one interval.

A mistake to avoid

A shape can change substantially when bin boundaries or counts change, especially with a small sample. Use a box plot for a compact quartile summary, or keep the table for exact observations.

Export and keep your data private

Review the title, units, labels and any omitted-row warnings at the final export size. PNG is a raster image, SVG retains vector chart elements, and PDF embeds a raster image. Save the original table if you may need to revise the mapping.

Data stays in browser memory; no upload, external chart service or AI model. CSV, TSV, semicolon/pipe text, JSON and JSON Lines: 2 MB, 10,000 rows, 24 columns. Charts allow up to eight series; categorical charts 60 groups, lines/scatter/candlesticks 500 rows, pie/donut/waffle 12 categories, radar 3–12 dimensions. Blank/invalid mapped values are omitted and counted. Numeric values use a decimal point; remove currency symbols and grouping separators. Percent strings are treated as displayed numeric values (25% becomes 25). Dates use ISO format. Recommendations check data structure, not meaning or causation. PNG up to 16 MP; SVG stays vector; PDF embeds a high-resolution chart image. Review mappings, ordering, aggregation and labels before sharing.