README.md

## README.md

      
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              README.md
            
          
    Top 5 countries, sorted by population. Example 6 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: 21pt;
      }

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

      .x.axis text {
        font-size: 22pt;
      }

    </style>
  </head>
  <body>
    <script>
      var outerWidth = 960;
      var outerHeight = 500;
      var margin = { left: 90, top: 25, right: 26, bottom: 49 };
      var barPadding = 0.2;

      var xColumn = "country";
      var yColumn = "population";

      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 yAxisG = g.append("g")
        .attr("class", "y axis");

      var xScale = d3.scale.ordinal().rangeBands([0, innerWidth], barPadding);
      var yScale = d3.scale.linear().range([innerHeight, 0]);

      // 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);
      var yAxis = d3.svg.axis().scale(yScale).orient("left")
        .ticks(5)
        .tickFormat(customTickFormat)
        .outerTickSize(0);

      function render(data){

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

        xAxisG.call(xAxis);
        yAxisG.call(yAxis);

        var bars = g.selectAll("rect").data(data);
        bars.enter().append("rect")
          .attr("width", xScale.rangeBand());
        bars
          .attr("x",      function (d){ return               xScale(d[xColumn]); })
          .attr("y",      function (d){ return               yScale(d[yColumn]); })
          .attr("height", function (d){ return innerHeight - yScale(d[yColumn]); });
        bars.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