DataViz_TP3_4areas

forked from romsson's block: loading multiple stock data from dataset

forked from alicemontel's block: DataViz_TP3

Rendu pour le TP3 de l'UE DataViz - M2DS Univ. Claude Bernard Lyon 1

<!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: 2px;
    }
  </style>
</head>

<body>
  <script>
    
  var margin = {top: 20, right: 30, bottom: 20, left: 100},
      width = 760 - margin.left - margin.right,
      height = 300 - margin.top - margin.bottom;
    
  var svg = d3.select("body").append("svg")
      .attr("width", width + margin.left + margin.right)
      .attr("height", height + margin.top + margin.bottom)
    	.append("g")
      .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

var parseDate = d3.timeParse("%b %Y");

var x = d3.scaleTime().range([0, width]),
    y = d3.scaleLinear().range([height, 0]),
    c = d3.scaleOrdinal(d3.schemeCategory10);
  var stack = d3.stack();

var line = d3.line()
    .curve(d3.curveBasis)
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.price); });
  d3.text('https://gist.githubusercontent.com/mbostock/1256572/raw/44c086a6019de56dce35a47197a19468b3e4ad57/stocks.csv', function(error, raw) {

var dsv = d3.dsvFormat(',')
    var data = dsv.parse(raw);
    var keys = data.columns.slice(1);
    
    var area = d3.area()
    	.curve(d3.curveBasis)
    	.x(function(d) { return x(d.date); })

// Nest stock values by symbol.
    var symbols = d3.nest()
        .key(function(d) { return d.symbol; })
        .entries(data);
 
		// Parse and caculate some values for each symbols
    symbols.forEach(function(s) {
      s.values.forEach(function(d) { 
        d.date = parseDate(d.date); 
        d.price = +d.price; 
      });
      
      s.maxPrice = d3.max(s.values, function(d) { return d.price; });
      s.sumPrice = d3.sum(s.values, function(d) { return d.price; });
      
      console.log(symbols);
    });
    		 
    x.domain(d3.extent(data, function(d) { return d.date; }));
    y.domain([0, d3.max(symbols.map(function(d) { return d.maxPrice; }))])

// show the texts 
     var texts=svg.selectAll(".symbols").data(symbols).enter().append("text");
     texts
     	.attr("x", x(x.domain()[1])+5)
     	.attr("dy", ".35em")
     	.style("text-anchor", "start")
     	.text(function(d) { return d.key; });

show4areas();  
    
    // STEP 1
    function show4areas(){
      area
        .y0(function(d){
        switch(d.symbol){
          case "AAPL":
            return height-height*(3/4);
            break;
          case "IBM":
            return height-height/4;
            break;
          case "MSFT":
            return height;
         		break;
          default:
            return height-height/2;    
        }})
      .y1(function(d) 
          {
        switch(d.symbol){
          case "AAPL":
            return (y(d.price)/4);
            break;
          case "IBM":
            return y(d.price)/4+(height*2)/4;
            break;
          case "MSFT":
            return y(d.price)/4 +(height*3)/4;
         		break;
          default:
            return y(d.price)/4+height/4;
        }});
      
      texts
      	.attr("y", function(d){return y(d.maxPrice);})
      
     var areas = svg.selectAll(".area").data(symbols).enter().append("path")
      	.attr("class","area")
      	.attr("d",function(d,i) {y.domain([0, d.maxPrice]); return area(d.values,i); })
        .attr("fill", function(d) { return c(d.key); })
      	.attr("opacity", 1);
      
 		} 
   
    // draw axis
    svg.append("g")
        .attr("class", "axis axis--x")
        .attr("transform", "translate(0," + height + ")")
        .call(d3.axisBottom(x));

/* svg.append("g")
        .attr("class", "axis axis--y")
        .call(d3.axisLeft(y).ticks(20));    */
  });
    
  </script>
</body>

https://d3js.org/d3.v4.min.js