D3 Examples - Choropleth

Choropleth
This choropleth shows unemployment rates as of August, 2016 with a threshold scale. I employed a mix of command-line tools to transform the fixed-width text file into a CSV, including dsv2dsv:
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<!DOCTYPE html>
<meta charset="utf-8">
<style>
​
.counties {
  fill: gray;
}
​
.states {
  fill: none;
  stroke: #fff;
  stroke-linejoin: round;
}
​
.region {
    stroke: #fff;
  stroke-width: 2;
  stroke-linejoin: round;
}
​
</style>
<svg width="960" height="600"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<script src="https://d3js.org/topojson.v2.min.js"></script>
<script>
​
var svg = d3.select("svg"),
    width = +svg.attr("width"),
    height = +svg.attr("height");
​
var unemployment = d3.map();
​
var path = d3.geoPath();
​
var x = d3.scaleLinear()
    .domain([1, 10])
    .rangeRound([600, 860]);
​
var color = d3.scaleThreshold()
    .domain(d3.range(2, 10))
    .range(d3.schemeBlues[9]);
​
var g = svg.append("g")
    .attr("class", "key")
    .attr("transform", "translate(0,40)");
​
var eastern = d3.set(["09",10, 23, 24,
  25, 33, 34, 36, 37, 42, 50, 51, 54,  14,12,11,44
]);
  
var midwestern = d3.set([
  17,18, 19,20, 21,26, 29, 31,39,55, 27, 29, 38, 46
])
var southern = d3.set([
  "01","05",22,28,40,47, 12, 48,13, 45
])
​
var western = d3.set([
    "02","49","08","04","06", 30,32, 35, 41, 53, 56, 35, 32, 30,16,15 
])
  
g.selectAll("rect")
  .data(color.range().map(function(d) {
      d = color.invertExtent(d);
      if (d[0] == null) d[0] = x.domain()[0];
      if (d[1] == null) d[1] = x.domain()[1];
      return d;
    }))
  .enter().append("rect")
    .attr("height", 8)
    .attr("x", function(d) { return x(d[0]); })
    .attr("width", function(d) { return x(d[1]) - x(d[0]); })
    .attr("fill", function(d) { return color(d[0]); });
​
g.append("text")
    .attr("class", "caption")
    .attr("x", x.range()[0])
    .attr("y", -6)
    .attr("fill", "#000")
    .attr("text-anchor", "start")
    .attr("font-weight", "bold")
    .text("Unemployment rate");
​
g.call(d3.axisBottom(x)
    .tickSize(13)
    .tickFormat(function(x, i) { return i ? x : x + "%"; })
    .tickValues(color.domain()))
  .select(".domain")
    .remove();
​
d3.queue()
    .defer(d3.json, "https://d3js.org/us-10m.v1.json")
    .defer(d3.tsv, "unemployment.tsv", function(d) { unemployment.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.states).features)
    .enter().append("path")
      .attr("fill", function(d) { return color(d.rate = unemployment.get(d.id)); })
      .attr("d", path)
        .attr('class', function(d) {return "state-code-" + d.id})
    .append("title")
      .text(function(d) { return d.rate + "%"; });
​
svg.append("path")
      .datum(topojson.merge(us, us.objects.states.geometries.filter(function(d) { return eastern.has(d.id); })))
      .attr("class", "county")
      .attr("d", path)
            .attr('fill', color(8))
​
svg.append("path")
      .datum(topojson.merge(us, us.objects.states.geometries.filter(function(d) { return midwestern.has(d.id); })))
      .attr("class", "region")
      .attr("d", path)
            .attr('fill', color(7))
​
svg.append("path")
      .datum(topojson.merge(us, us.objects.states.geometries.filter(function(d) { return southern.has(d.id); })))
      .attr("class", "region")
      .attr("d", path)
            .attr('fill', color(3))
​
svg.append("path")
      .datum(topojson.merge(us, us.objects.states.geometries.filter(function(d) { return western.has(d.id); })))
      .attr("class", "region")
      .attr("d", path)
            .attr('fill', color(5))
​
// svg.append("path")
//       .datum(topojson.mesh(us, us.objects.states, function(a, b) { return a !== b; }))
//       .attr("class", "states")
//       .attr("d", path);
​
}
</script>
​
    