D3 Examples - GDP Data from India: Learning D3.js (part 1)

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<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.12/d3.min.js"></script>
    <style>
      body {
        font-family: futura;
      }
      h2.title {
        color: black;
        text-align: center;
      }
      .axis {
        font-family: arial;
        font-size: 0.7em;
      }
      text {
        fill: black;
        stroke: none;
      }
      .label {
        font-size: 2em;
      }
      path {
        fill: none;
        stroke: black;
        stroke-width: 2px;
      }
      .tick {
        fill: none;
        stroke: black;
      }
      .bar {
        opacity: 0.9;
        stroke: none;
        fill: steelblue;
      }
​
      .bar:hover {
        fill: orangered ;
      }
      .d3-tip {
        line-height: 1;
        font-weight: bold;
        padding: 12px;
        background: rgba(0, 0, 0, 0.8);
        color: #fff;
        border-radius: 2px;
      }
​
    </style>
​
    <script type="text/javascript">
      function convert_to_usd(data){
        conversion_rate = 67.0;
        for (var i = 0; i < data.length; i++) {
          // Converting to Billions of Rupees from Crores and then converting
          // to dollars
          data[i]['data'] = (data[i]['data'])/(conversion_rate*100);
        };
        return data;
      }
      // https://github.com/mbostock/d3/wiki/Time-Formatting
      //format = d3.time.format("%Y-%m");
      function draw(data) {
          "use strict";
          // set margins according to Mike Bostock's margin conventions
          // https://bl.ocks.org/mbostock/3019563
          var margin = {top: 25, right: 40, bottom: 100, left: 175};
          // set height and width of chart
          var width = 960 - margin.left - margin.right,
              height = 500 - margin.top - margin.bottom;
          var barPadding = 10;
          // specify the radius of our circles and the
          // column we want to plot
          var field = 'Gross Domestic Product (GDP) at Factor Cost';
          var data_field = 'data';
        
          // Append the title for the graph
          d3.select("body")
              .append("h2")
              .text("India GDP (Inflation Adjusted) Trend")
              .attr('class', 'title');
          // append the SVG tag with height and width to accommodate for margins
          var svg = d3.select("body")
                      .append("svg")
                          .attr("width", width + margin.left + margin.right)
                          .attr("height", height + margin.top + margin.bottom)
                      .append('g')
                          .attr('class','chart')
                          .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
​
          // Choose data for GDP Figures
          data = data[field];
          data = convert_to_usd(data);
          // bind our data to svg rects for the bar plot
          svg.selectAll(".bar")
              .data(data)
              .enter()
              .append("rect")
                .attr('class', 'bar')
            // maximum price for rent
            var max_y = d3.max(data, function(d) {
                return +d[data_field];
            });
​
            var time_years = data.map(function(d){ return d['year'];});
​
            console.log("Years are :"+time_years);
            // Create x-axis scale mapping dates -> pixels
            var time_scale = d3.scale.ordinal()
                .rangeBands([0, width])
                .domain(time_years);
​
            // Create y-axis scale mapping price -> pixels
            var measure_scale = d3.scale.linear()
                .range([height, 0])
                .domain([0, max_y*1.1]);
​
            // Create D3 axis object from time_scale for the x-axis
            var time_axis = d3.svg.axis()
                .scale(time_scale);
​
            // Create D3 axis object from measure_scale for the y-axis
            var measure_axis = d3.svg.axis()
                .scale(measure_scale)
                .orient("left")
                .ticks(10);
​
            // Append SVG to page corresponding to the D3 x-axis
            svg.append('g')
                .attr('class', 'x axis')
                .attr('transform', "translate(0," + height + ")")
                .call(time_axis);
​
            // Append SVG to page corresponding to the D3 y-axis
            svg.append('g')
                .attr('class', 'y axis')
                .call(measure_axis);
​
            // add label to y-axis
            var y_label = d3.select(".y.axis")
                .append("text")
                .attr('class', 'label')
                .text("USD (billions)")
                    .style('font-size', '2.2em')
                .attr("transform", "rotate(-90), translate(0, -70)");
      
                // center y axis label
                y_label.attr("x", -(height / 2)).attr('y', -40)
                .style("text-anchor", "middle");
        
            // based on the data bound to each svg rect,
            // change its x, y, width, height accordingly
            d3.selectAll('.bar')
                .attr('x', function(d) {
                    return time_scale(d['year']);
                })
                .attr('width', function(d) {
                    return width / data.length - barPadding;
                })
                .attr('y', function(d) {
                    return measure_scale(+d[data_field]);
                })
                .attr('height', function(d) {
                    return height - measure_scale(+d[data_field]);
                })
                .append("svg:title")
                .text(function(d){
                  return d['data'];
                });
        };
​
      </script>
  </head>
  <body>
    <script type="text/javascript">
    // load our data file asynchronously and pass the data
    // to the draw function once it is loaded.
    d3.json("india_inflation_adjusted_gdp_by_sector.json", draw);
    </script>
  </body>
</html>
    