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.
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<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, ($/year)';
const yValue = d => d.health;
const yLabel = 'Health Expectancy, (years)';
const rValue = d => d.population;
const rLabel = 'Size of spots stand for population';
const colorValue = d => d.region;
const colorLabel = 'Region';
const margin = { left: 120, right: 250, top: 30, bottom: 100 };
const svg = d3.select('svg');
const width = svg.attr('width');
const height = svg.attr('height');
const innerWidth = width - margin.left - margin.right;
const innerHeight = height - margin.top - margin.bottom;
const g = svg.append('g')
.attr('transform', `translate(${margin.left},${margin.top})`);
const xAxisG = g.append('g')
.attr('transform', `translate(0, ${innerHeight})`);
const yAxisG = g.append('g');
const colorLegendG = g.append('g')
.attr('transform', `translate(${innerWidth + 60}, 150)`);
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