Choropleth

This choropleth encodes unemployment rates from 2008 with a quantize scale ranging from 0 to 15%. A threshold scale is a useful alternative for coloring arbitrary ranges.

forked from mbostock's block: Choropleth

<!DOCTYPE html>
<meta charset="utf-8">
<style>

.counties {
  fill: none;
}

.states {
  fill: none;
  stroke: #fff;
  stroke-linejoin: round;
}

.q0-9 { fill:rgb(247,251,255); }
.q1-9 { fill:rgb(222,235,247); }
.q2-9 { fill:rgb(198,219,239); }
.q3-9 { fill:rgb(158,202,225); }
.q4-9 { fill:rgb(107,174,214); }
.q5-9 { fill:rgb(66,146,198); }
.q6-9 { fill:rgb(33,113,181); }
.q7-9 { fill:rgb(8,81,156); }
.q8-9 { fill:rgb(8,48,107); }

</style>
<svg width="960" height="600"></svg>
<script src="//d3js.org/d3.v4.min.js"></script>
<script src="//d3js.org/topojson.v1.min.js"></script>
<script>

var svg = d3.select("svg"),
    width = +svg.attr("width"),
    height = +svg.attr("height");

var rateById = d3.map();

var quantize = d3.scaleQuantize()
    .domain([0, 0.15])
    .range(d3.range(9).map(function(i) { return "q" + i + "-9"; }));

var projection = d3.geoAlbersUsa()
    .scale(1280)
    .translate([width / 2, height / 2]);

var path = d3.geoPath()
    .projection(projection);

d3.queue()
    .defer(d3.json, "https://gist.githubusercontent.com/mbostock/4090846/raw/d534aba169207548a8a3d670c9c2cc719ff05c47/us.json")
    .defer(d3.tsv, "unemployment.tsv", function(d) { rateById.set(d.id, +d.rate); })
    .await(ready);

function ready(error, us) {
  if (error) throw error;

svg.append("g")
      .attr("class", "counties")
    .selectAll("path")
      .data(topojson.feature(us, us.objects.counties).features)
    .enter().append("path")
      .attr("class", function(d) { return quantize(rateById.get(d.id)); })
      .attr("d", path);

svg.append("path")
      .datum(topojson.mesh(us, us.objects.states, function(a, b) { return a !== b; }))
      .attr("class", "states")
      .attr("d", path);
  
  // points
  // san francisco
  a = [-122.490402, 37.786453];
  // kansas city
	b = [-94.5786, 39.0997];
  points = [
    {
      date: 20111001.0,
      coords: [-122.490402, 37.786453]
    },
    {
      date: 20111002.0,
      coords: [-94.5786, 39.0997]
    }
  ];
  
  points_filter = points.filter(function(x) {return x.date > 20111001.0});
  
  
  // add circles to svg
    svg.selectAll("circle")
		.data(points_filter).enter()
		.append("circle")
		.attr("cx", function (d) { return projection(d.coords)[0]; })
		.attr("cy", function (d) { return projection(d.coords)[1]; })
		.attr("r", 4)
// 		.attr("fill", "red")
    .style("opacity", .7)      // set the element opacity
    .style("stroke", "#9f5045")    // set the line colour
    .style("fill", "#F0C059")
  
  
  
}

</script>

https://d3js.org/d3.v4.min.js

https://d3js.org/topojson.v1.min.js