Joyplot showing relative percentage usage of music genres in skate videos, 1980-2020. It's supposed to look similar to Joy Division's "Unknown Pleasures" album.
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<html>
<head>
<script src="https://d3js.org/d3.v4.min.js"></script>
<link rel="stylesheet" href="joy_style.css">
</head>
<body>
<script>
var margin = { top: 100, right: 10, bottom: 100, left: 300 },
width = 1000 - margin.left - margin.right,
height = 1200 - margin.top - margin.bottom;
var svg = d3.select('body').append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
// Percent two area charts can overlap
var overlap = 0.8;
var formatTime = d3.timeFormat('%Y');
// Function to return d.time
var x = function(d) { return d.time; };
// xScale
var xScale = d3.scaleTime().range([0, width]);
var xValue = function(d) { return xScale(x(d)); };
var xAxis = d3.axisBottom(xScale).tickFormat(formatTime).ticks(4);
// y
var y = function(d) { return d.value; };
var yScale = d3.scaleLinear();
var yValue = function(d) { return yScale(y(d)) + 10; };
//
var activity = function(d) { return d.key; };
var activityScale = d3.scaleBand().range([0, height - 600]);
var activityValue = function(d) { return activityScale(activity(d)); };
var activityAxis = d3.axisLeft(activityScale);
var area = d3.area()
.x(xValue)
.y1(yValue);
var line = area.lineY1();
var parseTime = d3.timeParse('%Y');
function row(d) {
return {
activity: d.activity,
time: parseTime(+d.time),
value: +d.p_smooth
};
}
d3.tsv('data_global_max3.tsv', row, function(error, dataFlat) {
if (error) throw error;
// Sort x-axis by time
dataFlat.sort(function(a, b) { return a.time - b.time; });
console.log(dataFlat);
var data = d3.nest()
.key(function(d) { return d.activity; })
.entries(dataFlat);
console.log(data);
// Place activities based in order of max peak time
function peakTime(d) {
var i = d3.scan(d.values, function(a, b) { return y(a) - y(b); });
return d.values[i].time;
};
// Sort activities by
activityDomain = ["Indie/Alternative", "Hip Hop", "Punk", "Classic Rock", "Other", "Jazz/Soul", "Electronic", "Metal", "Rock", ];
data.sort(function (a, b) {return activityDomain.indexOf(a.key) - activityDomain.indexOf(b.key)})
console.log(data)
xScale.domain(d3.extent(dataFlat, x));
activityScale.domain(activityDomain);
var areaChartHeight = (1 + overlap) * (height / activityScale.domain().length);
yScale
.domain(d3.extent(dataFlat, y))
.range([areaChartHeight, 0]);
area.y0(yScale(0));
svg.append('g')
.attr('class', 'axis axis--x')
.attr('transform', 'translate(0,' + (height / 2 + 50) + ')') // hard-coded => bad
.call(xAxis);
svg.append('g')
.attr('class', 'axis axis--activity')
.attr('transform', 'translate(0,' + 148 + ')')
.call(activityAxis);
var gActivity = svg.append('g')
.attr('class', 'activities')
.selectAll('.activity').data(data)
.enter().append('g')
.attr('class', function(d) { return 'activity activity--' + d.key; })
.attr('transform', function(d) {
var ty = activityValue(d) - activityScale.bandwidth() + 5;
return 'translate(0,' + ty + ')';
});
gActivity.append('path')
.attr('class', 'area')
.datum(function(d) { return d.values; })
.attr('d', area);
gActivity.append('path')
.attr('class', 'line')
.datum(function(d) { return d.values; })
.attr('d', line)
.style('opacity', 1);
});
</script>
</body>
</html>
https://d3js.org/d3.v4.min.js