Recharts and Victory: Data Visualization in React Without the D3 Learning Curve

D3 is powerful but has a steep learning curve. Recharts wraps D3 in React components.
Here's how to build production dashboards without touching D3 directly.

Recharts Setup

npm install recharts

Line Chart (Most Common)

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

const data = [
  { date: 'Jan', revenue: 4000, users: 240 },
  { date: 'Feb', revenue: 5000, users: 300 },
  { date: 'Mar', revenue: 3500, users: 280 },
  { date: 'Apr', revenue: 7800, users: 450 },
]

function RevenueChart() {
  return (
    <ResponsiveContainer width="100%" height={300}>
      <LineChart data={data} margin={{ top: 5, right: 30, bottom: 5, left: 20 }}>
        <CartesianGrid strokeDasharray="3 3" stroke="#f0f0f0" />
        <XAxis dataKey="date" tick={{ fontSize: 12 }} />
        <YAxis tick={{ fontSize: 12 }} />
        <Tooltip formatter={(value) => [`$${value}`, 'Revenue']} />
        <Legend />
        <Line
          type="monotone"
          dataKey="revenue"
          stroke="#2563eb"
          strokeWidth={2}
          dot={{ r: 4 }}
          activeDot={{ r: 6 }}
        />
        <Line
          type="monotone"
          dataKey="users"
          stroke="#16a34a"
          strokeWidth={2}
        />
      </LineChart>
    </ResponsiveContainer>
  )
}

Bar Chart

import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts'

function SalesChart({ data }: { data: { month: string; sales: number }[] }) {
  return (
    <ResponsiveContainer width="100%" height={250}>
      <BarChart data={data}>
        <CartesianGrid strokeDasharray="3 3" vertical={false} />
        <XAxis dataKey="month" axisLine={false} tickLine={false} />
        <YAxis axisLine={false} tickLine={false} />
        <Tooltip
          cursor={{ fill: 'rgba(0,0,0,0.04)' }}
          formatter={(value) => [`$${value.toLocaleString()}`, 'Sales']}
        />
        <Bar dataKey="sales" fill="#2563eb" radius={[4, 4, 0, 0]} />
      </BarChart>
    </ResponsiveContainer>
  )
}

Custom Tooltip

function CustomTooltip({ active, payload, label }: TooltipProps<number, string>) {
  if (!active || !payload?.length) return null

  return (
    <div className="bg-white border border-gray-200 rounded-lg p-3 shadow-lg">
      <p className="text-sm font-medium text-gray-900">{label}</p>
      {payload.map((entry) => (
        <p key={entry.name} className="text-sm" style={{ color: entry.color }}>
          {entry.name}: {entry.name === 'revenue' ? `$${entry.value}` : entry.value}
        </p>
      ))}
    </div>
  )
}

<LineChart data={data}>
  <Tooltip content={<CustomTooltip />} />
  {/* ... */}
</LineChart>

Area Chart for SaaS Metrics

import { AreaChart, Area, XAxis, YAxis, Tooltip, ResponsiveContainer } from 'recharts'

function MRRChart({ data }: { data: { month: string; mrr: number }[] }) {
  return (
    <ResponsiveContainer width="100%" height={200}>
      <AreaChart data={data}>
        <defs>
          <linearGradient id="mrrGradient" x1="0" y1="0" x2="0" y2="1">
            <stop offset="5%" stopColor="#2563eb" stopOpacity={0.15} />
            <stop offset="95%" stopColor="#2563eb" stopOpacity={0} />
          </linearGradient>
        </defs>
        <XAxis dataKey="month" hide />
        <YAxis hide />
        <Tooltip formatter={(v) => [`$${v}`, 'MRR']} />
        <Area
          type="monotone"
          dataKey="mrr"
          stroke="#2563eb"
          strokeWidth={2}
          fill="url(#mrrGradient)"
        />
      </AreaChart>
    </ResponsiveContainer>
  )
}

Pie Chart

import { PieChart, Pie, Cell, Tooltip, Legend } from 'recharts'

const data = [
  { name: 'Free', value: 400 },
  { name: 'Pro', value: 300 },
  { name: 'Enterprise', value: 100 },
]
const COLORS = ['#94a3b8', '#2563eb', '#1e40af']

function PlanDistribution() {
  return (
    <PieChart width={300} height={200}>
      <Pie data={data} cx={150} cy={100} innerRadius={60} outerRadius={90} dataKey="value">
        {data.map((_, i) => <Cell key={i} fill={COLORS[i]} />)}
      </Pie>
      <Tooltip />
      <Legend />
    </PieChart>
  )
}

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The AI SaaS Starter Kit ships with a full analytics dashboard including Recharts line, bar, and area charts pre-configured. $99 one-time.

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