Bivariate choropleth maps simultaneously encode two quantitative variables across geographic regions using a two-dimensional color matrix. Each region is assigned a color based on the intersection of its class in variable X and its class in variable Y. This makes it possible to identify spatial patterns in the relationship between two variables â€” for example, regions with high education and low income, or high poverty and poor health outcomes.

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{
  "data": [
    {
      "id": "CA",
      "xValue": 72,
      "yValue": 58,
      "name": "California"
    },
    {
      "id": "TX",
      "xValue": 55,
      "yValue": 44,
      "name": "Texas"
    },
    {
      "id": "FL",
      "xValue": 61,
      "yValue": 52,
      "name": "Florida"
    },
    {
      "id": "NY",
      "xValue": 80,
      "yValue": 71,
      "name": "New York"
    },
    {
      "id": "PA",
      "xValue": 48,
      "yValue": 39,
      "name": "Pennsylvania"
    },
    {
      "id": "IL",
      "xValue": 66,
      "yValue": 61,
      "name": "Illinois"
    },
    {
      "id": "OH",
      "xValue": 43,
      "yValue": 35,
      "name": "Ohio"
    },
    {
      "id": "GA",
      "xValue": 51,
      "yValue": 47,
      "name": "Georgia"
    },
    {
      "id": "NC",
      "xValue": 45,
      "yValue": 40,
      "name": "North Carolina"
    },
    {
      "id": "MI",
      "xValue": 40,
      "yValue": 32,
      "name": "Michigan"
    },
    {
      "id": "WA",
      "xValue": 74,
      "yValue": 65,
      "name": "Washington"
    },
    {
      "id": "CO",
      "xValue": 68,
      "yValue": 60,
      "name": "Colorado"
    }
  ],
  "series": [
    {
      "type": "bivariatechoropleth",
      "idKey": "id",
      "xValueKey": "xValue",
      "yValueKey": "yValue",
      "xLabel": "Education (%)",
      "yLabel": "Income Index"
    }
  ],
  "title": {
    "text": "Education vs Income by State"
  }
}

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A bivariate choropleth map encodes two variables simultaneously using a 3Ã—3 or 4Ã—4 color matrix. Each region is colored based on the combination of its x-value class and y-value class.

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