Relation Between Income And Health Expectancy In Different Countries

The GDP per capita data are comes from World Wealth & Income Database.

The health data expectancy are gathered from Global Health Observatory data repository.

forked from curran's block: Stylized Scatter Plot with Color Legend

forked from ZijunXu's block: Relation Between Income And Health Expectancy In Different Countries

Modified so that area corresponds to population values.

forked from curran's block: Relation Between Income And Health Expectancy In Different Countries

<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width">
    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.24.0/d3-legend.min.js"></script>
    <title>Basic Scatter Plot</title>
    <style>
      body {
        margin: 0px;
      }
      .domain {
        display: none;
      }
      .tick line {
        stroke: #C0C0BB;
      }
      .tick text, .legendCells text {
        fill: #8E8883;
        font-size: 13pt;
        font-family: sans-serif;
      }
      .axis-label, .legend-label {
        fill: #635F5D;
        font-size: 15pt;
        font-family: sans-serif;
      }
    </style>
  </head>
  <body>
    <svg width="960" height="500"></svg>
    <script>
      const xValue = d => d.income;
      const xLabel = 'Income Per Person, ($/year)';
      const yValue = d => d.health;
      const yLabel = 'Health Expectancy, (years)';
      const rValue = d => d.population;
      const rLabel = 'Size of spots stand for population';
      const colorValue = d => d.region;
      const colorLabel = 'Region';
      const margin = { left: 120, right: 250, top: 30, bottom: 100 };

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;

xAxisG.append('text')
          .attr('class', 'axis-label')
          .attr('x', innerWidth / 2)
          .attr('y', 70)
          .text(xLabel);

yAxisG.append('text')
          .attr('class', 'axis-label')
          .attr('x', -innerHeight / 2)
          .attr('y', -60)
          .attr('transform', `rotate(-90)`)
          .style('text-anchor', 'middle')
          .text(yLabel);

colorLegendG.append('text')
          .attr('class', 'legend-label')
          .attr('x', -30)
          .attr('y', -40)
          .text(colorLabel);

const xScale = d3.scaleLog();
      const yScale = d3.scaleLinear();
      const rScale = d3.scaleSqrt();
      const colorScale = d3.scaleOrdinal()
        .range(d3.schemeCategory10);

const xAxis = d3.axisBottom()
        .scale(xScale)
      	.ticks(11,",.1s")
      	.tickPadding(15)
        .tickSize(-innerHeight);

const yAxis = d3.axisLeft()
        .scale(yScale)
        .ticks(5)
        .tickPadding(15)
        .tickSize(-innerWidth);

const colorLegend = d3.legendColor()
        .scale(colorScale)
        .shape('circle');

const row = d => {
        d.income = +d.income;
        d.health = +d.health;
        d.population = +d.population;
        return d;
      };
      
      function render(data){
        xScale
          .domain(d3.extent(data, xValue))
          .range([0, innerWidth])
        	.nice;

yScale
          .domain(d3.extent(data, yValue))
          .range([innerHeight, 0])
        	.nice();
        
        rScale
        	.domain([0, d3.max(data, rValue)])
        	.range([0,18]);
        
        g.selectAll('circle').data(data)
          .enter().append('circle')
            .attr('cx', d => xScale(xValue(d)))
            .attr('cy', d => yScale(yValue(d)))
            .attr('fill', d => colorScale(colorValue(d)))
            .attr('fill-opacity', 0.6)
            .attr('r', d => rScale(rValue(d)));
        
        xAxisG.call(xAxis);
        yAxisG.call(yAxis);
        
        colorLegendG.call(colorLegend)
          .selectAll('.cell text')
            .attr('dy', '0.1em');
      };

d3.csv('income_health.csv', row, render);
    </script>
  </body>
</html>

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

https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.24.0/d3-legend.min.js