D3 Examples - US Male and Female age distribution estimate for 2015

xxxxxxxxxx
 
<!DOCTYPE html>
<meta charset="utf-8">
<head>
    <style>
    .xAxisMale {
      font: 10px sans-serif;
    }
  .xAxisFemale {
      font: 10px sans-serif;
    }
    .xAxisMale path,
    .xAxisMale line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }
  .xAxisFemale path,
    .xAxisFemale line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }
  .yAxisMale {
      font: 10px sans-serif;
    }
    .yAxisMale path,
    .yAxisMale line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }
    </style>
</head>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
​
var margin = {top: 20, right: 20, bottom: 40, left: 40},
  width = 500 - margin.left - margin.right,
  height = 500 - margin.top - margin.bottom;
  console.log(width);
  
var y_male = d3.scale.ordinal().rangeRoundBands([height, 0], 0.01, 0);
var y_female = d3.scale.ordinal().rangeRoundBands([height, 0], 0.01, 0);
​
var x_male = d3.scale.linear().range([0, width]);
var x_female = d3.scale.linear().range([0, width]);
​
var xAxisMale = d3.svg.axis()
  .scale(x_male)
  .orient("bottom")
​
var yAxisMale = d3.svg.axis()
  .scale(y_male)
  .orient("left")
  .ticks(10);
​
var xAxisFemale = d3.svg.axis()
  .scale(x_female)
  .orient("bottom")
    .ticks(10);
​
var yAxisFemale = d3.svg.axis()
  .scale(y_female)
  .orient("right")
  .ticks(10);
​
var svg = d3.select("body").append("svg")
    .attr("width", width*2 + margin.left + margin.right)
  .attr("height", height + margin.top + margin.bottom)
  .append("g")
  .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
​
d3.csv("census_male.csv", function(error, data) {
  data.forEach(function(d) {
    d.age = parseInt(d.AGE);
    d.count = parseInt(d.POPESTIMATE2015);
  });
  
  x_male.domain([0, d3.max(data, function(d) { return d.count; })]);
  y_male.domain(data.map(function(d) { return d.age; }));
    
  console.log(width);
  console.log(height);
  console.log("translate(" + width + "," + height + ")");
  svg.append("g")
    .attr("class", "xAxisMale")
    .attr("transform", "translate(" + width+10 + "," + height + ")")
    .call(xAxisMale)
    .selectAll("text")
    .style("text-anchor", "end")
    .attr("transform", "rotate(-90)" );
​
  svg.append("g")
    .attr("class", "yAxisMale")
    .call(yAxisMale)
    .attr("transform", "translate(" + width + ",0)")
​
  svg.selectAll("bar")
    .data(data)
    .enter().append("rect")
    .style("fill", "steelblue")
    .attr("y", function(d) { return y_male(d.age); })
    .attr("height", y_male.rangeBand())
    .attr("x", width+10)
    .attr("width", function(d) { return x_male(d.count); });
});
  
d3.csv("census_female.csv", function(error, data) {
  data.forEach(function(d) {
    d.age = parseInt(d.AGE);
    d.count = parseInt(d.POPESTIMATE2015);
  });
  
  x_female.domain([0, d3.max(data, function(d) { return d.count; })]);
  y_female.domain(data.map(function(d) { return d.age; }));
  
  console.log("translate(0," + height + ")");
  
  svg.append("g")
    .attr("class", "xAxisFemale")
    .attr("transform", "translate(-20," + height + ")")
    .call(xAxisFemale)
    .selectAll("text")
    .style("text-anchor", "end")
    .attr("transform", "rotate(-90)" );
​
  svg.selectAll("bar")
    .data(data)
    .enter().append("rect")
    .style("fill", "pink")
    .attr("y", function(d) { return y_female(d.age); })
    .attr("height", y_female.rangeBand())
    .attr("x", function(d) { return -20+width-x_female(d.count); })
    .attr("width", function(d) { return x_female(d.count); });
}); 
</script>
</body>
​
    