A stacked area chart visualization of 150 years of immigration in Canada. This variant shows the data scaled by percentages.
See also:
Uses d3-area-label to position labels.
Inspired by The Economist: Where do Canada’s immigrants come from?
forked from curran‘s block: How Americans Spend Time
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width">
<script src="https://unpkg.com/d3@4.10.0"></script>
<script src="https://unpkg.com/d3-area-label@1.2.0"></script>
<title>Foreign Born in Canada</title>
<style>
body {
margin: 0px;
}
.area-label {
font-family: sans-serif;
fill-opacity: 0.7;
fill: white;
}
path:hover {
fill-opacity: 1;
fill:black;
}
path {
fill-opacity: 0.8;
stroke-width: 0.5;
}
text {
pointer-events: none;
}
.axis--major .tick text, .legend text, .tooltip text {
fill: #585858;
font-family: sans-serif;
font-size: 16pt;
}
.axis--minor .tick text {
display: none;
}
.axis--major .tick line{
stroke: #ddd;
stroke-width: 2px;
}
.axis--minor .tick line{
stroke: #eee;
}
.axis .domain {
display: none;
}
</style>
</head>
<body>
<svg width="960" height="500"></svg>
<script>
d3.csv('data.csv', function (rawData) {
const years = Object.keys(rawData[0])
.filter(key => key !== 'Country/Area Name');
const keys = rawData
.map(d => d['Country/Area Name'])
.filter(key => key !== 'Total - foreign-born population');
const data = years.map(year => {
const row = { date: new Date(year) };
rawData.forEach(d => {
row[d['Country/Area Name']] = +d[year];
});
return row;
});
console.log(data);
render(data, keys);
});
var margin = { top: 0, bottom: 25, left: 0, right: 20 };
var svg = d3.select('svg');
var width = +svg.attr('width');
var height = +svg.attr('height');
var g = svg.append('g')
.attr('transform', `translate(${margin.left},${margin.top})`);
var xAxisG = g.append('g')
.attr('class', 'axis');
var xAxisMinorG = xAxisG.append('g')
.attr('class', 'axis axis--minor');
var xAxisMajorG = xAxisG.append('g')
.attr('class', 'axis axis--major');
var marksG = g.append('g');
var stack = d3.stack()
.offset(d3.stackOffsetExpand)
.order(d3.stackOrderInsideOut)
;
var xValue = function (d) { return d.date; };
var xScale = d3.scaleTime();
var yScale = d3.scaleLinear();
var colorScale = d3.scaleOrdinal().range(d3.schemeCategory10);
var xAxisMajor = d3.axisBottom().scale(xScale);
var xAxisMinor = d3.axisBottom().scale(xScale).ticks(30);
var area = d3.area()
.x(d => xScale(xValue(d.data)))
.y0(d => yScale(d[0]))
.y1(d => yScale(d[1]))
.curve(d3.curveBasis);
// Render StreamGraph
function render(data, keys) {
stack.keys(keys);
var stacked = stack(data);
var innerWidth = width - margin.right - margin.left;
var innerHeight = height - margin.top - margin.bottom;
xScale
.domain(d3.extent(data, xValue))
.range([0, innerWidth]);
yScale
.domain([
d3.min(stacked, function (series) {
return d3.min(series, function (d) { return d[0]; });
}),
d3.max(stacked, function (series) {
return d3.max(series, function (d) { return d[1]; });
})
])
.range([innerHeight, 0]);
colorScale.domain(d3.range(keys.length));
var paths = marksG.selectAll('path').data(stacked);
var pathsEnter = paths
.enter().append('path');
pathsEnter.merge(paths)
.attr('fill', function (d) { return colorScale(d.index); })
.attr('stroke', function (d) { return colorScale(d.index); })
.attr('d', area);
paths.select('title')
.merge(pathsEnter.append('title'))
.text(function (d) { return d.key; })
var labels = marksG.selectAll('text').data(stacked)
labels
.enter().append('text')
.attr('class', 'area-label')
.merge(labels)
.text(function (d) { return d.key; })
.attr('transform', d3.areaLabel(area).interpolateResolution(1000));
xAxisMajor.tickSize(-innerHeight);
xAxisMinor.tickSize(-innerHeight);
xAxisG.attr('transform', `translate(0,${innerHeight})`);
xAxisMajorG.call(xAxisMajor);
xAxisMinorG.call(xAxisMinor);
}
</script>
</body>
</html>
Country/Area Name,1871,1881,1891,1901,1911,1921,1931,1941,1951,1961,1971,1981,1991,2001,2011
Total - foreign-born population,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100
British Isles,83.6,78.1,74.2,55.8,49.4,52.4,49.4,47.6,45.5,35.2,29.5,23.3,17.2,11.6,8.3
Scandinavia,0.1,0.3,2,3.1,4.6,3.9,5.2,4.8,4.2,3.7,2.6,1.8,1.3,0.8,0.5
Western Europe,4.6,5.2,5.5,6.8,6.3,5.1,4.8,4.7,7.7,16.5,14.5,11.9,9.9,7.8,5.9
Eastern Europe,0.1,1.2,1.6,7.5,12,12.2,18,19.7,21.5,17.4,13.9,10.7,9.7,8.7,7.4
Southern Europe,0.1,0.2,0.5,1.1,2.6,2.3,3,3.3,4.5,12.2,19.3,19,16.3,13.1,9.2
United States,10.9,12.9,12.6,18.3,19.1,19.1,14.9,15.5,13.7,10,9.4,7.8,5.7,4.4,3.9
Caribbean and Bermuda,0,0.2,0.1,0.1,0.1,0.2,0.2,0.2,0.2,0.4,2.1,4.5,5.4,5.4,5.2
Central and South America,0,0,0,0,0.1,0.1,0.1,0.1,0.1,0,1.1,2.8,5.1,5.6,6.5
Northern Africa,0,0,0,0,0,0,0,0,0,0,0.9,1,1.2,1.7,2.8
Sub-Saharan Africa,0,0,0,0,0.1,0.1,0.1,0.1,0.1,0.1,0.3,1.6,2.6,3.5,4.5
Western Asia and Middle East,0,0,0,0.3,0.3,0.3,0.3,0.3,0.3,0,0.8,1.6,3.5,5.2,6.7
Eastern Asia,0,0.7,1.5,3.1,2.3,2.5,2.4,1.9,1.5,1.5,2,5.1,8.7,13.4,14.2
Southeast Asia,0,0,0,0,0,0,0,0,0,0,0.4,4,7.2,8.6,10.8
Southern Asia,0,0.1,0.1,0.2,0.3,0.2,0.2,0.2,0.2,0.3,1.4,3.4,5.3,9.2,13.2
Oceania and other,0.7,1,1.8,3.7,2.6,1.5,1.5,1.6,0.4,2.7,2,1.5,1.1,1,0.8