rveciana - people-at-risk-of-poverty-or-social-exclusion-by-nuts-2-regions

People at risk of poverty or social exclusion by NUTS 2 regions

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People at risk of poverty or social exclusion by NUTS 2 regions, with the data taken from EUROSTAT.

This Gist was created as an example for this geoexamples.com post, showing how to create maps from EUROSTAT data and how to use d3-composite-projections.

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

.border {
  stroke: #000;
  fill: none;

}
.graticule {
  fill: none;
  stroke: #777;
  stroke-width: .5px;
  stroke-opacity: .5;
}

div.tooltip {
  position: absolute;
  text-align: center;
  width: 84px;
  height: 64px;
  padding: 2px;
  font: 12px sans-serif;
  background: lightgrey;
  border: 0px;
  border-radius: 8px;
  pointer-events: none;
}
</style>
<body>
<h1>People at risk of poverty or social exclusion by NUTS 2 regions</h1>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://d3js.org/topojson.v1.min.js"></script>
<script src="http://d3js.org/colorbrewer.v1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3-composite-projections/0.3.5/conicConformalEurope-proj.min.js"></script>
<script>

var div = d3.select("body").append("div")
        .attr("class", "tooltip")
        .style("opacity", 0);

var width = 600,
    height = 500;

var projection = d3.geo.conicConformalEurope();
var graticule = d3.geo.graticule();

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



var scale =  d3.scale.quantize().domain([10,60]).range(colorbrewer.OrRd[9]);
var svg = d3.select("body").append("svg")
    .attr("width", width)
    .attr("height", height);


    svg.append("path")
        .datum(graticule)
        .attr("class", "graticule")
        .attr("d", path);
d3.json("https://cdn.rawgit.com/rveciana/5919944/raw//nuts2.json", function(error, europe) {
  d3.csv("povertry_rate.csv", function(error, povrate) {
    var land = topojson.feature(europe, europe.objects.nuts2);

    data = {};
    povrate.forEach(function(d) {
      data[d.GEO] = d['2013'];
    });

    console.info(data);
    svg.selectAll("path")
      .data(land.features)
      .enter()
      .append("path")
      .attr("d", path)
      .style("stroke","#000")
      .style("stroke-width",".5px")
      .style("fill",function(d){
            var value = data[d.id];
            if (isNaN(value)){
              value = data[d.id.substring(0,2)];
            }
            if (isNaN(value)){
              return "#fff";
            }

            return scale(value);
            })
      .on("mouseover", function(d,i) {
            var value = data[d.id];
            if (isNaN(value)){
              value = data[d.id.substring(0,2)];
            }
            div.transition()
                .duration(200)
                .style("opacity", 0.9);
            div.html("<b>"+d.properties.name+"</b><br/>" + value + "%")
                .style("left", (d3.event.pageX) + "px")
                .style("top", (d3.event.pageY - 28) + "px");
        })
      .on("mouseout", function(d,i) {
          div.transition()
              .duration(500)
              .style("opacity", 0);
        });

        svg
          .append("path")
            .style("fill","none")
            .style("stroke","#000")
            .attr("d", projection.getCompositionBorders());


  });
});


</script>