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Canonical: https://semiotic.nteract.io/choose
Choose a Chart
Arrive with data and intent, not a component name. This picker profiles a dataset and ranks the catalog by fit and communicative act using the same engine that powers suggestChartsand the MCP tools — and it shows the reasoning, so the recommendation is inspectable, not a black box. Pick an audience to see the ranking shift for who's reading.
Profiled 4 rows ·y: value · category: region · 4 categories
Recommended charts
1semiotic.recipe.waffle.v04.6/5
categorical · semiotic/ai
- Repeated units directly expose how categories compose a total.
- Unit counts support broad comparisons, though bars remain more precise.
- Why leave the catalog: A pie chart would show share but provide less unit-level evidence and less interaction surface.
Watch out:precise comparison may be harder than a bar chart; individual cells can become navigation noise; too many categories; too many units; false precision; treating each cell as a separate semantic datum; Rounded cell allocation communicates only the precision supported by the unit count.; Use a ranked bar when exact pairwise comparison is the primary task.
categorical · semiotic/ordinal
- 4 rows is in the sweet spot for this chart
categorical · semiotic/ordinal
categorical · semiotic/ordinal
categorical · semiotic/ordinal
Watch out:angle comparisons are less accurate than length — prefer a bar chart unless part-to-whole is the explicit message
realtime · semiotic/physics
Watch out:Use for capacitated multi-body process stories (review queues, triage, merge pipelines); use a bar or Sankey for precise stage totals without motion; Motion dramatizes backlog and capacity; settled stage counts and group completion are the readable chart
Reshape to unlock
Direct recommendations only cover charts your data alreadyfits. But a flat table can often be reshaped into something more powerful — these are the distinctive charts Semiotic draws that your data could become, with the transform that unlocks each.
↻ Join region to a base geography (GeoJSON).
The data placed in space — regional patterns that only a map reveals. ProportionalSymbolMap sizes points instead of shading regions.
Related: Chart Suggestions ·Audience Profiles ·Capability Authoring· Variant Discovery & Repair