Chart Tools

Bar Graph Maker

Build grouped, stacked, 100% stacked, vertical or horizontal bar charts from spreadsheet-style data. Keep the quantitative axis honest at zero, inspect signed values and exact totals, then export the same local chart as SVG, PNG, CSV or a reusable project.

Multi-series · zero-baseline evidence · browser-local

Bar Chart & Comparison Studio

Paste or import a category table, switch between grouped, stacked and 100% stacked bars, keep signed values auditable, and export the same deterministic chart and source data without creating an account.

Wave129 deep authority

CSV · TSV · JSON · Markdown · XLSXGrouped · stacked · 100%Vertical · horizontal · signed valuesSVG · 2× PNG · CSV · Project

Data & chart controls

Category table

Comparison modeOrientationSort categoriesVisible categoriesPaletteLegendCorner radius Show value labels Grid lines Transparent background

Chart titleSubtitleCategory-axis labelValue-axis labelSource note

Ready.

Live chart

Categories—

Series—

Data cells—

Negative values—

Readability & zero-baseline audit

Truth boundary. This Studio always includes zero on the quantitative axis. 100% stacked mode requires nonnegative values and communicates composition rather than absolute totals. Signed stacked bars split around zero. Stacking is meaningful only when series share compatible units. Bar charts compare discrete categories; they are not histograms for continuous distributions.

Accessible chart summary

Exact value evidence

The evidence table keeps raw values even when the chart is normalized to 100%. Top-N aggregation is applied per series into an explicit “Other” category.

Local snapshots

Snapshots are explicit and local to this browser. They may contain the chart data because you chose to save them.

Portable handoff

Project JSON contains chart data and settings because you explicitly export it. The settings-only link intentionally excludes chart data, title, subtitle, source and local snapshots.

Direct one-click PDF/JPEG/WebP and cloud collaboration are outside this focused browser-local workflow; use Print / Save PDF or the deterministic SVG/PNG exports.

Practical guide and verification

Why bars work

Bar charts are effective for comparing magnitudes across discrete categories because every bar shares a common baseline. Keep that baseline meaningful and labels readable.

Axis choices

Starting a quantitative bar axis above zero can exaggerate small differences. If you intentionally use a truncated axis, make that choice obvious rather than allowing the chart to imply a larger effect.

Ordering

Alphabetical order is not always the clearest choice. Sort by value when ranking matters, or preserve a natural order such as time, process stage, or survey scale.

How to read this chart

Bar charts compare categories on a common quantitative scale.

Before publishing

Check duplicate labels, category count and sign. Horizontal mode now works for parsed multi-series data instead of being ignored.