All 141 tools / Charts and data
Decide whether your data should be a table, small multiples, a sparkline or a chart
Table or chartFreeFor designers and product teams
25/day
free runs a day, no sign-in.
Before: what you give it
The example input, as typed in. You type in numbers or values.
rows: 24 cols: 12 purpose: pattern precision: approximate space: normal timeSeries: true groups: 12
After: what comes back
The first lines of a real run on that input. Nothing here is edited by hand.
Recommendation: Small multiples Dataset: 24 rows by 12 columns (288 cells), purpose pattern, approximate Why: - 12 groups with the same structure: repeat one small chart per group with identical scales so shapes can be compared directly, instead of piling 12 lines into one frame. Also consider: - One chart with all groups in grey and one highlighted Watch for: - Same axis range in every panel, or the comparison is false.
What you get
A recommendation with alternatives, reasons and cautions based on rows, columns, purpose and space
What it cannot do
Rules and wording are our own, following Few and Tufte; it advises on form and does not build the output.
Who it is for
- Designers
- Product teams
Free and Pro
| Free | 25 runs a day per IP address. |
|---|---|
| Pro | No daily limit, 300 requests a minute. |
Use it from your assistant
The tool is called data_table_vs_chart. Connect the server once, then ask for it by name or just describe the job. Install steps for each app.
claude mcp add --transport http designers https://designers.allthepossibles.com/mcp
curl -X POST https://designers.allthepossibles.com/api/data-table-vs-chart -H 'content-type: application/json' -d '{"rows":24,"cols":12,"purpose":"pattern","precision":"approximate","space":"normal","timeSeries":true,"groups":12}'
Try it here
The form starts with the same example input, so you can run it first and then swap in your own.
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- Chart honesty check
Check a chart spec for misleading design, with the lie factor worked out when the baseline is truncated
- Chart chooser
Pick a chart type from the question you are asking and the shape of your data, with types to avoid
- Chart colour check
Check chart series colours for contrast, colour-blind confusion and too many hues against your background
- Number format check
Audit how numbers are displayed for mixed decimals, separators, suffixes and rounding that breaks a total