D3 Examples - TP3-InClass-2-Stock

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<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    svg { font: 10px sans-serif; }
    .line {
      fill: none;
      stroke: black;
      stroke-width: 1.5px;
    }
  </style>
</head>
​
<body>
  <script>
    // Feel free to change or delete any of the code you see in this editor!
    var svg = d3.select("body").append("svg")
      .attr("width", 960)
      .attr("height", 500)
​
    var width = 800;
    var height = 400;
​
    // https://bl.ocks.org/zanarmstrong/raw/05c1e95bf7aa16c4768e/
    var parseDate = d3.timeFormat("%Y-%m");
    // %b shows month in written name; %Y shows year in numbers
    var displayDate = d3.timeFormat("%b %Y");
    var displayValue = d3.format(",.0f");
    
    // Ordinal scale
    var x = d3.scaleOrdinal()
        .range([0, width]);
​
    var y = d3.scaleLinear()
        .range([height, height - 200]);
​
    var line = d3.line()
        // .curve(d3.curveBasis) allows smoothing of the curve
        .curve(d3.curveBasis)
        .x(function(d) { return x(d.date); })
        .y(function(d) { return y(d.price); });
    
    var g = svg.append("g")
        .attr("transform", "translate(50, 0)")
​
    // Replacing "dataset.json" with Data CSV file URL: https://gist.githubusercontent.com/mbostock/1256572/raw/44c086a6019de56dce35a47197a19468b3e4ad57/stocks.csv
    // Parsing the CSV file is preliminary
    // d3.csv exists as a function but the flexibility in coding a CSV file makes it difficult to adopt directly this function.
    // Manual parsing is hence recommended.
    // function(error, raw) allows console.log(raw) to observe raw data
    d3.json("https://gist.githubusercontent.com/mbostock/1256572/raw/44c086a6019de56dce35a47197a19468b3e4ad57/stocks.csv", function(error, raw) {
      
      console.log(raw)
      
      // Parsing starts here
      var dsv = d3.dsvFormat(',');
      var data = dsv.parse(raw);
      
      // Pre-processing
      data.forEach(function(d) {
                d.date = parseDate(d.date);
        d.price = parseInt(d.price);
      });
      
      console.log(data)
      
      // Nesting
      // Pull data and nest them under nested_data
      // Make as many nests as as many grouped data 
      var nested_data = d3.nest()
        .key(function(d) { return d.symbol; })
        // .rollup show 'value' in console in one numeric value instead of value content
        .rollup(function(leaves) { 
           return d3.sum(leaves, function(d) {
             return d.price;
           });
        })
        .entries(data);
      
      console.log(nested_data)
​
      
      x.domain(data.map(function(d) { return d.name; }));
            y.domain([0, d3.max(data, function(d) { return d.value; })]);
      
​
      /*** REMOVED CODE CONVERNTING TEXT AND VALUE ***/
      
      // Path-/line-drawing
      // nested_data is a table of a table (in replacement of [data] in general)
      g.selectAll(".line").data(nested_data).enter()
        .append("path")
        .attr("class", "line")
        // Draw values of 'd'
        .attr("d", function(d) { return line(d.values); });
​
      // Adding labels and placing them in a certain position
      g.selectAll("#label").data(nested_data).enter()
        .append("text")
        .attr("id", "label")
        .attr("transform", function(d, i) { 
          return "translate(50, " + (i * 20 + 30) + ")" 
        })
        .text(function(d) { console.log(d.key); return d.key; })
      
    });
​
  </script>
</body>
​
    