Built with blockbuilder.org
forked from as-eldlc's block: D3 aggregation tutorial
xxxxxxxxxx
<head>
<style>
.axis .domain {
display: none;
}
</style>
</head>
<body>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
// Chart initialization
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// X axis
var x = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
// y axis
var y = d3.scaleLinear()
.rangeRound([height, 0]);
//load data
d3.csv("data_task_10.csv", function(data){
//console.log(data);
// Group by priority
var nested_data = d3.nest()
.key(function(d) { return d.priority; })
.rollup(function(leaves) {return {"length": leaves.length, "total_time": d3.sum(leaves, function(d) {return parseFloat(d.time);})} })
.entries(data)
console.log(nested_data);
// Color scale
var z = d3.scaleOrdinal(d3.schemeCategory10);
// Set domains of axes scales
x.domain(nested_data.map(function(d) { return d.key; }));
y.domain([0, d3.max(nested_data, function(d) { return d.value.total_time; })]);
z.domain(nested_data.map(function(d) { return d.key; }))
// Draw rect
g.selectAll("rect")
.data(nested_data)
.enter().append("rect")
.attr("x", function(d) { return x(d.key); })
.attr("y", function(d) { return y(d.value.total_time); })
.attr("height", function(d) { return height - y(d.value.total_time);})
.attr("width", x.bandwidth())
//.attr("fill", "red")
.attr("fill", function(d,i) { return z(d.key); })
// Draw x axis
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// Draw y axis
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
});
</script>
</body>
https://d3js.org/d3.v4.min.js