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areologist/.block

Last active July 22, 2017 16:23
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scatter plot
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.block
license: mit
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README.md
Raw
data.json
[
{
"country": "United States",
"population": 323050000,
"expectancy": 78.94,
"cost": 9024.21,
"code": "US"
},
{
"country": "Switzerland",
"population": 8306200,
"expectancy": 82.85,
"cost": 6786.57,
"code": "CH"
},
{
"country": "Norway",
"population": 5213985,
"expectancy": 81.75,
"cost": 6081,
"code": "NO"
},
{
"country": "Netherlands",
"population": 16998003,
"expectancy": 81.3,
"cost": 5276.6,
"code": "NL"
},
{
"country": "Germany",
"population": 81459000,
"expectancy": 80.84,
"cost": 5119.21,
"code": "DE"
},
{
"country": "Sweden",
"population": 9858794,
"expectancy": 81.96,
"cost": 5065.16,
"code": "SE"
},
{
"country": "Ireland",
"population": 4635400,
"expectancy": 81.15,
"cost": 5001.32,
"code": "IE"
},
{
"country": "Austria",
"population": 8699730,
"expectancy": 81.34,
"cost": 4896,
"code": "AT"
},
{
"country": "Denmark",
"population": 5707251,
"expectancy": 80.55,
"cost": 4857.03,
"code": "DK"
},
{
"country": "Belgium",
"population": 11306030,
"expectancy": 80.59,
"cost": 4522.04,
"code": "BE"
},
{
"country": "Canada",
"population": 35985751,
"expectancy": 81.96,
"cost": 4495.69,
"code": "CA"
},
{
"country": "Luxembourg",
"population": 562,
"expectancy": 82.21,
"cost": 4478.97,
"code": "LU"
},
{
"country": "France",
"population": 64513242,
"expectancy": 82.37,
"cost": 4366.99,
"code": "FR"
},
{
"country": "Australia",
"population": 24026900,
"expectancy": 82.25,
"cost": 4206.85,
"code": "AU"
},
{
"country": "Japan",
"population": 126810000,
"expectancy": 83.59,
"cost": 4152.37,
"code": "JP"
},
{
"country": "United Kingdom",
"population": 65097000,
"expectancy": 81.06,
"cost": 3971.39,
"code": "UK"
},
{
"country": "Iceland",
"population": 332,
"expectancy": 82.06,
"cost": 3896.93,
"code": "IS"
},
{
"country": "Finland",
"population": 5490750,
"expectancy": 81.13,
"cost": 3871.39,
"code": "FI"
},
{
"country": "New Zealand",
"population": 4671020,
"expectancy": 81.4,
"cost": 3537.26,
"code": "NZ"
},
{
"country": "Italy",
"population": 60676361,
"expectancy": 82.69,
"cost": 3206.83,
"code": "IT"
},
{
"country": "Spain",
"population": 46423064,
"expectancy": 83.08,
"cost": 3053.07,
"code": "ES"
},
{
"country": "Slovenia",
"population": 2069982,
"expectancy": 80.52,
"cost": 2598.91,
"code": "SI"
},
{
"country": "Portugal",
"population": 10374822,
"expectancy": 80.72,
"cost": 2583.84,
"code": "PT"
},
{
"country": "Israel",
"population": 8476600,
"expectancy": 82.15,
"cost": 2547.4,
"code": "IL"
},
{
"country": "Czech Republic",
"population": 10546120,
"expectancy": 78.28,
"cost": 2386.34,
"code": "CZ"
},
{
"country": "South Korea",
"population": 51555409,
"expectancy": 82.16,
"cost": 2361.44,
"code": "KR"
},
{
"country": "Greece",
"population": 10846979,
"expectancy": 81.29,
"cost": 2220.11,
"code": "GR"
},
{
"country": "Slovakia",
"population": 5424058,
"expectancy": 76.71,
"cost": 1970.52,
"code": "SK"
},
{
"country": "Hungary",
"population": 9849000,
"expectancy": 75.87,
"cost": 1796.6,
"code": "HU"
},
{
"country": "Estonia",
"population": 1311759,
"expectancy": 77.24,
"cost": 1724.51,
"code": "EE"
},
{
"country": "Lithuania",
"population": 2881705,
"expectancy": 73.97,
"cost": 1720.84,
"code": "LT"
},
{
"country": "Chile",
"population": 18191900,
"expectancy": 81.5,
"cost": 1688.52,
"code": "CL"
},
{
"country": "Poland",
"population": 38484000,
"expectancy": 77.25,
"cost": 1624.87,
"code": "PL"
},
{
"country": "Costa Rica",
"population": 4832234,
"expectancy": 79.4,
"cost": 1393.95,
"code": "CR"
},
{
"country": "Russia",
"population": 146544710,
"expectancy": 70.37,
"cost": 1368.75,
"code": "RU"
},
{
"country": "Latvia",
"population": 1968600,
"expectancy": 74.19,
"cost": 1295.01,
"code": "LV"
},
{
"country": "South Africa",
"population": 54956900,
"expectancy": 57.18,
"cost": 1146.47,
"code": "ZA"
},
{
"country": "Mexico",
"population": 122273500,
"expectancy": 76.72,
"cost": 1052.66,
"code": "MX"
},
{
"country": "Turkey",
"population": 78741053,
"expectancy": 75.16,
"cost": 990.19,
"code": "TR"
},
{
"country": "Colombia",
"population": 48570200,
"expectancy": 73.99,
"cost": 964.5,
"code": "CO"
},
{
"country": "China",
"population": 1375410000,
"expectancy": 75.78,
"cost": 730.52,
"code": "CN"
},
{
"country": "Indonesia",
"population": 258705000,
"expectancy": 68.89,
"cost": 302.12,
"code": "ID"
},
{
"country": "India",
"population": 1285930000,
"expectancy": 68.01,
"cost": 267.41,
"code": "IN"
}
]
Raw
index.html
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
.chart {
background-color: #f6fafc;
border: 1px solid #333;
}
text {
font-size: 8px;
font-family: Arial;
}
</style>
</head>
<body>
<div class="chart"></div>
<script>
const margin = { top: 25, right: 35, bottom: 100, left: 35 };
const width = 550 - margin.left - margin.right;
const height = 325 - margin.top - margin.bottom;
const fullWidth = width + margin.left + margin.right;
const fullHeight = height + margin.top + margin.bottom;
const svg = d3.select('.chart')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.call(responsivefy)
.append('g')
.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')');
d3.json('data.json', (err, data) => {
const xScale = d3.scaleLinear()
.domain(d3.extent(data, d => d.cost))
.range([0, width])
.nice();
const yScale = d3.scaleLinear()
.domain(d3.extent(data, d => d.expectancy))
.range([height, 0])
.nice();
const rScale = d3.scaleSqrt()
.domain([0, d3.max(data, d => d.population)])
.range([0, 40]);
const yAxis = d3.axisLeft(yScale)
.ticks(10);
const bubbles = svg.selectAll('.bubble')
.data(data)
.enter()
.append('g')
.attr('class', 'bubble')
.attr('transform', d =>
`translate(${xScale(d.cost)}, ${yScale(d.expectancy)})`
);
bubbles.append('circle')
.attr('cx', 0)
.attr('cy', 0)
.attr('r', d => rScale(d.population))
.attr('fill', 'steelblue')
.attr('stroke', '#003366')
.attr('stroke-width', 1)
.style('opacity', 0.5);
bubbles.append('text')
.style('text-anchor', 'middle')
.style('fill', '#111')
.style('font-size', 6)
.attr('y', 3)
.text(d => d.code);
// add the axis by passing it into d3.call (and wrap it in a <g>)
svg.append('g')
.call(yAxis);
const xAxis = d3.axisBottom(xScale);
svg.append('g')
.attr('transform', `translate(0, ${height})`)
.call(xAxis);
});
/////
function responsivefy(svg) {
// get container + svg aspect ratio
var container = d3.select(svg.node().parentNode),
width = parseInt(svg.style("width")),
height = parseInt(svg.style("height")),
aspect = width / height;
// add viewBox and preserveAspectRatio properties,
// and call resize so that svg resizes on inital page load
svg.attr("viewBox", "0 0 " + width + " " + height)
.attr("preserveAspectRatio", "xMinYMid")
.call(resize);
// to register multiple listeners for same event type,
// you need to add namespace, i.e., 'click.foo'
// necessary if you call invoke this function for multiple svgs
// api docs: https://github.com/mbostock/d3/wiki/Selections#on
d3.select(window).on("resize." + container.attr("id"), resize);
// get width of container and resize svg to fit it
function resize() {
var targetWidth = parseInt(container.style("width"));
svg.attr("width", targetWidth);
svg.attr("height", Math.round(targetWidth / aspect));
}
}
</script>
</body>
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