Missing Migrants Vis

This dataset is from the Missing Migrants data uploaded to Kaggle, and contains information about people who have gone missing while travelling along migration routes. This data originates from the Missing Migrants Project.

The map data used in the right-hand legend is taken from Natural Earth, using the Land polygons dataset. The shapefile was processed into sets of geodetic polygons for use in the visualization.

forked from curran's block: Data Table Summary

forked from dbeach24's block: Missing Migrants

forked from dbeach24's block: Missing Migrants Vis

<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>Data Summary</title>
    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script type="text/javascript" src="mapdata.json"></script>
    <style>
      .tick text {
        fill: #9b9b9b;
        font-size: 16pt;
        font-family: sans-serif;
      }
      .tick line {
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      .topMarker {
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        font-family: sans-serif;
        fill: #7f7f7f;
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      .areaNumber {
        font-size: 10pt;
        font-family: sans-serif;
        fill: #ffffff;
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    </style>
  </head>
  <body>
    <svg width="960" height="500"></svg>
    <script>

const margin = {
        left: 30,
        right: 50,
        top: 30,
        bottom: 30
      };
      
			const xValue = d => d.date;
      const xTicks = 5;
      
      const yValue = d => d.lat;
      
			const topSizeValue = d => d.dead;
      const topSizeLabel = 'Dead';
      
      const botSizeValue = d => d.missing;
      const botSizeLabel = 'Missing';

const svg = d3.select('svg');
      const width = svg.attr('width');
      const height = svg.attr('height');
      const innerWidth = width - margin.left - margin.right;
      const innerHeight = height - margin.top - margin.bottom;
      
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const xAxisG = g.append('g')
          .attr('transform', `translate(0, ${innerHeight})`);
      const yAxisG = g.append('g')
          .attr('transform', `translate(${innerWidth - 39}, 0)`);

// compute region (Americas / EMEA / Asia)
        var regionId, regionName;
        if(d.lon < -50) {
          regionId = 0;
          regionName = 'Americas';
        } else if(d.lon < 75) {
          regionId = 1;
          regionName = 'EMEA';
        } else {
          regionId = 2;
          regionName = 'Asia';
        }
        d.regionId = regionId;
        d.regionName = regionName;
        
        return d;
      }
      
      function drawPolys(g, data, xScale, yScale, classAttr) {
        for(var i = 1; i < data.length; i++) {
          const poly = data[i];
          const sx = xScale(poly[0][0]);
          const sy = yScale(poly[0][1]);
          var d = `M ${sx} ${sy} `;
          for(var j = 1; j < poly.length; j++) {
            const x = xScale(poly[j][0]);
            const y = yScale(poly[j][1]);
            d += `L ${x} ${y} `;
          }
          d += `L ${sx} ${sy}`;
          g.append('path').attr('d', d).attr('class', classAttr);          
        }        
      }
      
      function topSemiCircle(cx, cy, r) {
        return `M ${cx} ${cy} m ${-r} 0 a ${r} ${r} 0 0 1 ${2*r} 0`;
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      function botSemiCircle(cx, cy, r) {
        return `M ${cx} ${cy} m ${r} 0 a ${r} ${r} 0 0 1 ${-2*r} 0`;        
      }
      
      const padH = 10;
      const padInnerH = innerHeight - (padH * 2);
      
      // Load and summarize the data.
      d3.csv('MissingMigrantsProject.csv', row, data => {

xScale
          .domain([new Date("2014-01-01"), new Date("2017-12-31")])          
          .range([0, innerWidth]);

yScale1
          .domain([-30, 70])
          .range([padInnerH*0.4, 0]);

yScale2
          .domain([-30, 70])
          .range([padInnerH*0.8 + padH, padInnerH*0.4 + padH]);

yScale3
          .domain([-20, 30])
          .range([padInnerH + padH*2, padInnerH*0.8 + padH*2]);

const xf = 1.3;
        
        xScale1
          .domain([-180, -50])
          .range([-65*xf, 65*xf]);
        
        xScale2
          .domain([-25, 75])
          .range([-62.5*xf, 62.5*xf]);
        
        xScale3
          .domain([75, 180])
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        sizeScale
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          .range([0, 30]);

topG.selectAll('path').data(data)
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            .attr('d', function (d) {
              const cx = xScale(xValue(d));
              const cy = yScales[d.regionId](yValue(d));
              const r = sizeScale(topSizeValue(d));
              return topSemiCircle(cx, cy, r);
            })
            .attr('class', 'topMarker');
        
        botG.selectAll('path').data(data)
          .enter().append('path')
            .attr('d', function (d) {
              const cx = xScale(xValue(d));
              const cy = yScales[d.regionId](yValue(d));
              const r = sizeScale(botSizeValue(d));
              return botSemiCircle(cx, cy, r);
            })
            .attr('class', 'botMarker');
        
        xAxisG.call(xAxis);
        xAxisG.select(".domain").remove();
        
        sizeAxisG.append('path')
          .attr('d', topSemiCircle(0, 0, sizeScale(300)))
          .attr('class', 'topMarker');

sizeAxisG.append('path')
          .attr('d', botSemiCircle(0, 0, sizeScale(300)))
          .attr('class', 'botMarker');
        
        sizeAxisG.append('text')
          .attr('x', -10)
          .attr('y', -4)
          .text('300')
          .attr('class', 'areaNumber');

sizeAxisG.append('text')
          .attr('x', -10)
          .attr('y', 12)
          .text('300')
          .attr('class', 'areaNumber');
        
        sizeAxisG.append('text')
          .attr('x', 20)
          .attr('y', -4)
          .text('Dead')
          .attr('class', 'areaLabel');

sizeAxisG.append('text')
          .attr('x', 20)
          .attr('y', 12)
          .text('Missing')
          .attr('class', 'areaLabel');
        
        
        drawPolys(yAxisG, mapdata.map1, xScales[0], yScales[0], 'landform');
        drawPolys(yAxisG, mapdata.map2, xScales[1], yScales[1], 'landform');
        drawPolys(yAxisG, mapdata.map3, xScales[2], yScales[2], 'landform');
        
      });

</script>
  </body>
</html>

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