Data Visualization

When to Use

Use this skill when:

• Adding charts (donut, pie, bar, line, area) to a dashboard or analytics page
• Displaying KPI/metric stat cards with trend indicators
• Building a dashboard layout with mixed chart types and summary cards

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Step 1 — Determine the visualization type

Identify what the user needs:

• Donut / pie chart — categorical breakdown (e.g. issue types, status distribution)
• Bar chart — comparison across categories or time periods
• Line / area chart — trends over time
• Stat card — single KPI metric with optional trend indicator
• Combined dashboard — stat cards + one or more charts

If unclear, ask:

"What data should the chart display, and would a donut chart, bar chart, line chart, or stat cards work best?"

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Step 2 — Install dependencies

All chart types in this skill use recharts. Install once from the web app directory:

npm install recharts

Recharts is built on D3 and provides declarative React components. No additional CSS is needed.

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Step 3 — Choose implementation path

Read the corresponding guide:

• Bar chart — read implementation/bar-line-chart.md (categorical data)
• Line / area chart — read implementation/bar-line-chart.md (time-series data)
• Donut / pie chart — read implementation/donut-chart.md
• Stat card with trend — read implementation/stat-card.md
• Dashboard layout — read implementation/dashboard-layout.md

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Verification

Before completing:

1. Chart renders with correct data and colors.
2. Chart is responsive (resizes with container).
3. Legend labels match the data categories.
4. Stat card trends display correct positive/negative indicators.
5. Run from the web app directory:

cd force-app/main/default/webapplications/<appName> && npm run lint && npm run build

• Lint: MUST result in 0 errors.
• Build: MUST succeed.