curran/README.md

## README.md

      
    Raw
  

              README.md
            
          
    This visualization uses area to encode population for the largest 5 countries of the world. This is example 21 from the screencast Splitting Charts.
MIT License


## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>D3 Example</title>
    <script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
    <link href='https://fonts.googleapis.com/css?family=Open+Sans' rel='stylesheet' type='text/css'>
    <style>

      .axis text {
        font-family: 'Open Sans', sans-serif;
        font-size: 22pt;
      }
      .axis .label {
        font-size: 20pt;
      }

      .axis path, .axis line {
        fill: none;
        stroke: #000;
        shape-rendering: crispEdges;
      }

    </style>
  </head>
  <body>
    <script>
      var outerWidth = 960;
      var outerHeight = 500;
      var margin = { left: 100, top: 115, right: 100, bottom: 205 };
      var barPadding = 0.2;

      var xColumn = "country";
      var radiusColumn = "population";
      var radiusMax = 85;

      var innerWidth  = outerWidth  - margin.left - margin.right;
      var innerHeight = outerHeight - margin.top  - margin.bottom;

      var svg = d3.select("body").append("svg")
        .attr("width",  outerWidth)
        .attr("height", outerHeight);
      var g = svg.append("g")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
      var xAxisG = g.append("g")
        .attr("class", "x axis")
        .attr("transform", "translate(0," + innerHeight + ")");

      var xScale = d3.scale.ordinal().rangePoints([0, innerWidth], barPadding);
      var radiusScale = d3.scale.sqrt().range([0, radiusMax]);

      // Use a modified SI formatter that uses "B" for Billion.
      var siFormat = d3.format("s");
      var customTickFormat = function (d){
        return siFormat(d).replace("G", "B");
      };

      var xAxis = d3.svg.axis().scale(xScale).orient("bottom")
        .outerTickSize(0);

      function render(data){

        xScale.domain(       data.map( function (d){ return d[xColumn]; }));
        radiusScale.domain([0, d3.max(data, function (d){ return d[radiusColumn]; })]);

        xAxisG.call(xAxis);

        var circles = g.selectAll("circle").data(data);
        circles.enter().append("circle")
          .attr("width", xScale.rangeBand());
        circles
          .attr("cx", function (d){ return xScale(d[xColumn]); })
          .attr("cy", innerHeight / 2)
          .attr("r", function (d){ return radiusScale(d[radiusColumn]); });
        circles.exit().remove();
      }

      function type(d){
        d.population = +d.population;
        return d;
      }

      d3.csv("populationByCountry2015.csv", type, render);

    </script>
  </body>
</html>

## populationByCountry2015.csv

          
            country
            population

            
              China
              1376048943

            
              India
              1311050527

            
              USA
              321773631

            
              Indonesia
              257563815

            
              Brazil
              207847528

## thumbnail.png

      
    Raw
  

              thumbnail.png
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<title>D3 Example</title>
	<script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
	<link href='https://fonts.googleapis.com/css?family=Open+Sans' rel='stylesheet' type='text/css'>
	<style>

	.axis text {
	font-family: 'Open Sans', sans-serif;
	font-size: 22pt;
	}
	.axis .label {
	font-size: 20pt;
	}

	.axis path, .axis line {
	fill: none;
	stroke: #000;
	shape-rendering: crispEdges;
	}

	</style>
	</head>
	<body>
	<script>
	var outerWidth = 960;
	var outerHeight = 500;
	var margin = { left: 100, top: 115, right: 100, bottom: 205 };
	var barPadding = 0.2;

	var xColumn = "country";
	var radiusColumn = "population";
	var radiusMax = 85;

	var innerWidth = outerWidth - margin.left - margin.right;
	var innerHeight = outerHeight - margin.top - margin.bottom;

	var svg = d3.select("body").append("svg")
	.attr("width", outerWidth)
	.attr("height", outerHeight);
	var g = svg.append("g")
	.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
	var xAxisG = g.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + innerHeight + ")");

	var xScale = d3.scale.ordinal().rangePoints([0, innerWidth], barPadding);
	var radiusScale = d3.scale.sqrt().range([0, radiusMax]);

	// Use a modified SI formatter that uses "B" for Billion.
	var siFormat = d3.format("s");
	var customTickFormat = function (d){
	return siFormat(d).replace("G", "B");
	};

	var xAxis = d3.svg.axis().scale(xScale).orient("bottom")
	.outerTickSize(0);

	function render(data){

	xScale.domain( data.map( function (d){ return d[xColumn]; }));
	radiusScale.domain([0, d3.max(data, function (d){ return d[radiusColumn]; })]);

	xAxisG.call(xAxis);

	var circles = g.selectAll("circle").data(data);
	circles.enter().append("circle")
	.attr("width", xScale.rangeBand());
	circles
	.attr("cx", function (d){ return xScale(d[xColumn]); })
	.attr("cy", innerHeight / 2)
	.attr("r", function (d){ return radiusScale(d[radiusColumn]); });
	circles.exit().remove();
	}

	function type(d){
	d.population = +d.population;
	return d;
	}

	d3.csv("populationByCountry2015.csv", type, render);

	</script>
	</body>
	</html>
	country	population
	China	1376048943
	India	1311050527
	USA	321773631
	Indonesia	257563815
	Brazil	207847528