Parallel coordinates charts display multivariate data by drawing each data point as a polyline across a set of vertical axes, one per variable. They make it possible to spot correlations, clusters, and outliers across many dimensions simultaneously — something impossible with standard two-dimensional charts.

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{
  "title": {
    "text": "Automobile Specifications — 4 Dimensions"
  },
  "data": [
    {
      "model": "Economy A",
      "price": 18500,
      "mpg": 38,
      "safety": 75,
      "power": 48
    },
    {
      "model": "Economy B",
      "price": 21000,
      "mpg": 42,
      "safety": 70,
      "power": 42
    },
    {
      "model": "Midsize A",
      "price": 32000,
      "mpg": 28,
      "safety": 88,
      "power": 72
    },
    {
      "model": "Midsize B",
      "price": 36000,
      "mpg": 25,
      "safety": 92,
      "power": 85
    },
    {
      "model": "Luxury A",
      "price": 58000,
      "mpg": 22,
      "safety": 96,
      "power": 98
    },
    {
      "model": "Luxury B",
      "price": 72000,
      "mpg": 18,
      "safety": 94,
      "power": 108
    },
    {
      "model": "SUV A",
      "price": 42000,
      "mpg": 20,
      "safety": 89,
      "power": 88
    },
    {
      "model": "SUV B",
      "price": 55000,
      "mpg": 17,
      "safety": 91,
      "power": 102
    },
    {
      "model": "Sports A",
      "price": 48000,
      "mpg": 24,
      "safety": 82,
      "power": 120
    },
    {
      "model": "Sports B",
      "price": 68000,
      "mpg": 19,
      "safety": 85,
      "power": 145
    }
  ],
  "series": [
    {
      "type": "parallelcoordinates",
      "xKey": "model",
      "keys": [
        "price",
        "mpg",
        "safety",
        "power"
      ],
      "stroke": "#6366f1",
      "strokeOpacity": 0.6,
      "strokeWidth": 2
    }
  ]
}

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Classic automobile dataset with four dimensions reveals trade-offs between price, mileage, safety, and performance.

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