xxxxxxxxxx
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
line.bin {
stroke: #000;
stroke-width: 3px;
}
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 10, right: 20, bottom: 20, left: 60},
width = 960 - margin.left - margin.right,
height = 500 - 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 + ")");
var x = d3.scale.linear()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
d3.csv("income.csv", function(error, bins) {
if (error) throw error;
// Coerce types.
bins.forEach(function(bin) {
bin.Income = +bin.Income;
bin.People = +bin.People;
});
// Set the scale domains.
x.domain([0, d3.max(bins.map(function(d) { return d.Income; }))]).nice();
y.domain([0, d3.max(bins.map(function(d) { return d.People; }))]).nice();
// Add the bins.
svg.selectAll(".bin")
.data(bins)
.enter().append("line")
.attr("class", "bin")
.attr("x1", function(d) { return x(d.Income); })
.attr("x2", function(d) { return x(d.Income); })
.attr("y1", height)
.attr("y2", function(d) { return y(d.People); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis()
.scale(x)
.orient("bottom"));
svg.append("g")
.attr("class", "y axis")
.call(d3.svg.axis()
.scale(y)
.orient("left"));
});
</script>
https://d3js.org/d3.v3.min.js