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DocsChartsTerm cloudLast updated Nov 2, 2026

Term cloud

The words people use, sized by weight. Sample data: support conversations, 20 terms.

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Support topicsSupport ticket topics sized by weight: "login" is the largest; 4 topics read negative, 4 positive.refundinvoiceloginSSOexportAPI keyslow syncpricingwebhooksthanks2FAseatsdark modebillingtimeoutonboardingSlackCSVrate limitgreatNEGATIVENEUTRALPOSITIVE
Support topics
TopicWeightTone
login90%Neutral
API key70%Neutral
billing66%Neutral
refund62%Negative
slow sync55%Negative
SSO50%Neutral
thanks45%Positive
timeout42%Negative
invoice40%Neutral
rate limit38%Negative
webhooks35%Neutral
seats33%Neutral
export30%Neutral
Slack30%Neutral
pricing28%Neutral
onboarding26%Positive
great24%Positive
dark mode22%Positive
2FA20%Neutral
CSV18%Neutral
Support topicsSupport ticket topics sized by weight: "login" is the largest; 4 topics read negative, 4 positive.refundinvoiceloginSSOexportAPI keyslow syncpricingwebhooksthanks2FAseatsdark modebillingtimeoutonboardingSlackCSVrate limitgreatNEGATIVENEUTRALPOSITIVE
Support topics
TopicWeightTone
login90%Neutral
API key70%Neutral
billing66%Neutral
refund62%Negative
slow sync55%Negative
SSO50%Neutral
thanks45%Positive
timeout42%Negative
invoice40%Neutral
rate limit38%Negative
webhooks35%Neutral
seats33%Neutral
export30%Neutral
Slack30%Neutral
pricing28%Neutral
onboarding26%Positive
great24%Positive
dark mode22%Positive
2FA20%Neutral
CSV18%Neutral

Installation

  1. 1

    Set up the registry once

    This chart is free in Hearth and MIT licensed: no token. Add @chartory to components.json once (the URL alone, no headers), or skip this when another chart is already installed.

    Installation guide
  2. 2

    Add the chart

    One command adds the Term cloud component to your project.

    npx shadcn add @chartory/term-cloud
  3. 3

    Use it

    Pass your rows. The props are the Figma properties.

    usage.tsx
    import { TermCloud }  from "@/components/chartory/term-cloud"<TermCloud  data={supportTopics}  size="m"  legend/>

Props

<TermCloud>

Every prop but data is a Figma property with the same name and values.

PropTypeDefault
data: The chart's data. The tables below list every field.TermCloudDataRequired
size: The size class. Each one is laid out again from the data."xs" | "s" | "m" | "l""m"
legend: Shows the legend row under the plot.booleantrue

TermCloudData

The data prop: one object for the whole chart.

PropTypeDefault
words: The words: [word, weight, tone].[string, number, "neg" | "pos"?][]Required

The data as a JSON Schema: schemas/term-cloud.json

Term cloud: a React and Figma chart in four sizes

What does a term cloud show?

A term cloud sizes each word by how often it appears, so the loudest topics stand out at a glance. Colour adds a second signal, such as negative or positive tone. Use it for support conversations, survey answers and search terms when a rough order is enough.

Chartory ships it as a Figma component and a React component with the same name. The code installs from the shadcn registry with one command and lands in your project as a file you own.

What is the Term cloud component?

It is one <TermCloud> component. Its props are the Figma properties with the same names and values, and the props table above lists them. The data is terms with a weight from 0 to 1 and an optional tone.

Sizes XS, S, M and L re-lay the chart out from the data instead of scaling it, so labels stay readable at every size.

When should I use it?

  • Is a rough order enough? Yes means the term cloud fits.
  • Is it one period? Yes means the term cloud fits.
  • Are the terms one flat list? Yes means the term cloud fits.

When does another type fit better?

  • Word size is hard to measure. Use Horizontal bars instead.
  • A cloud is one moment. Use Streamgraph instead.
  • Groups need nesting. Use Treemap instead.

Term cloud questions

Installing, data, Figma and plans.

  • Yes. It installs through the shadcn registry with the shadcn CLI, and the file lands in your project.

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