Data Visualization Expert (2026 Edition)

English | Bahasa Indonesia

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English

Orchestration & Integration

• senior-frontend: React component architecture for chart components.
• data-telemetry-expert: Analytics data pipelines feeding visualizations.
• state-management-expert: Managing chart state, filters, and drill-down navigation.
• performance-web-vitals: Optimizing chart rendering performance with large datasets.
• sse-websocket-streaming-expert: Real-time data feeds for live dashboards.

Description

Expert guide for building production-quality data visualizations and analytics dashboards. Covers D3.js v7 (low-level SVG/Canvas), Recharts (React-native charts), Chart.js 4 (lightweight canvas), Nivo (D3-powered React components), Tremor (dashboard components), and Apache ECharts. Includes responsive charts, real-time updates, accessibility, large dataset optimization, and dashboard layout patterns.

Trigger Conditions

• Building analytics dashboards or admin panels with charts.
• Creating data visualizations (line, bar, pie, scatter, heatmap, treemap).
• Implementing real-time updating charts or live data feeds.
• Choosing a charting library for React, Vue, or vanilla JS.
• Optimizing chart performance with large datasets (10K+ data points).

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Library Selection Guide

Library	Framework	Rendering	Customization	Learning Curve	Best For
D3.js v7	Agnostic	SVG/Canvas	★★★★★	High	Custom visualizations
Recharts	React	SVG	★★★★	Low	Standard React charts
Nivo	React	SVG/Canvas	★★★★★	Medium	Beautiful, animated charts
Tremor	React	SVG (Recharts)	★★★	Very Low	Dashboards, KPI cards
Chart.js 4	Agnostic	Canvas	★★★	Low	Lightweight, simple charts
ECharts	Agnostic	Canvas/SVG	★★★★★	Medium	Complex, interactive, large data

Recommendation: Use Tremor for rapid dashboard prototyping. Use Recharts for standard React charts. Use D3.js only for highly custom visualizations.

Core Patterns

1. Recharts (React Standard)

import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts';

function RevenueChart({ data }: { data: { date: string; revenue: number }[] }) {
  return (
    <ResponsiveContainer width="100%" height={400}>
      <LineChart data={data}>
        <CartesianGrid strokeDasharray="3 3" stroke="#374151" />
        <XAxis dataKey="date" stroke="#9CA3AF" />
        <YAxis stroke="#9CA3AF" tickFormatter={(v) => `$${(v / 1000).toFixed(0)}K`} />
        <Tooltip
          contentStyle={{ backgroundColor: '#1F2937', border: 'none', borderRadius: 8 }}
          formatter={(value: number) => [`$${value.toLocaleString()}`, 'Revenue']}
        />
        <Line type="monotone" dataKey="revenue" stroke="#8B5CF6" strokeWidth={2} dot={false} />
      </LineChart>
    </ResponsiveContainer>
  );
}

2. Tremor Dashboard Components

import { Card, Metric, Text, AreaChart, BarList, Grid } from '@tremor/react';

function AnalyticsDashboard({ metrics, chartData, topPages }) {
  return (
    <Grid numItemsMd={2} numItemsLg={3} className="gap-6">
      <Card>
        <Text>Total Revenue</Text>
        <Metric>$845,230</Metric>
      </Card>
      <Card>
        <Text>Revenue Over Time</Text>
        <AreaChart
          data={chartData}
          index="month"
          categories={['Revenue', 'Expenses']}
          colors={['violet', 'rose']}
          valueFormatter={(v) => `$${(v / 1000).toFixed(0)}K`}
        />
      </Card>
      <Card>
        <Text>Top Pages</Text>
        <BarList data={topPages} className="mt-4" />
      </Card>
    </Grid>
  );
}

3. Real-Time Chart Updates

import { useEffect, useState } from 'react';

function LiveMetricsChart() {
  const [data, setData] = useState<{ time: string; value: number }[]>([]);

  useEffect(() => {
    const es = new EventSource('/api/metrics/stream');
    es.onmessage = (event) => {
      const point = JSON.parse(event.data);
      setData((prev) => [...prev.slice(-60), point]); // Keep last 60 points
    };
    return () => es.close();
  }, []);

  return <LineChart data={data} /* ... */ />;
}

4. Large Dataset Optimization

• Use Canvas rendering (ECharts, Chart.js) for >5K data points.
• Implement data aggregation on the server (downsample to 500-1000 points for display).
• Use windowed rendering — only render visible data points.
• Apply debounced zoom/pan to prevent excessive re-renders.

Dashboard Layout Patterns

• KPI Row → Charts → Tables: Top metrics cards, then charts, then detail tables.
• Filter Sidebar: Global date range, category, and dimension filters.
• Drill-down: Click chart segment → navigate to detail view.
• Export: CSV/PNG/PDF export for all charts.

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Bahasa Indonesia

Integrasi Orkestrasi

• senior-frontend: Arsitektur komponen React untuk komponen chart.
• data-telemetry-expert: Pipeline data analitik yang mengisi visualisasi.
• state-management-expert: Mengelola state chart, filter, dan navigasi drill-down.

Deskripsi

Panduan ahli untuk membangun visualisasi data dan dashboard analitik berkualitas produksi. Mencakup D3.js v7, Recharts, Chart.js 4, Nivo, Tremor, dan Apache ECharts. Termasuk chart responsif, update real-time, aksesibilitas, optimasi dataset besar, dan pola layout dashboard.

Kondisi Pemicu

• Membangun dashboard analitik atau panel admin dengan chart.
• Membuat visualisasi data (line, bar, pie, scatter, heatmap, treemap).
• Mengimplementasikan chart yang update real-time atau feed data langsung.
• Memilih library charting untuk React, Vue, atau vanilla JS.