Rade-Mathis/.block

## .block
license: wtfpl

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org
forked from romsson's block: simple line chart from dataset
forked from Rade-Mathis's block: TP3-p1
forked from Rade-Mathis's block: TP3-p3-1
forked from Rade-Mathis's block: TP3-p3-3

  
## dataset.json
[{"name": "A", "value": 10, "date": "2016-01"},
 {"name": "B", "value": 30, "date": "2016-02"},
 {"name": "C", "value": 20, "date": "2016-03"},
 {"name": "D", "value": 40, "date": "2016-04"},
 {"name": "E", "value": 50, "date": "2016-05"},
 {"name": "F", "value": 20, "date": "2016-06"},
 {"name": "G", "value": 10, "date": "2016-07"}
]

## index.html
<!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 { /* useless here */
      fill: none;
      stroke: black;
      stroke-width: 2.5px;
    }

    .area {
       //opacity: 0.5;
    }
  </style>
</head>

<body>
  <script>

    var margin = {top: 20, right: 40, bottom: 20, left: 100};
    var width = 760 - margin.left - margin.right;
    var 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 + ")");


    // See formats http://bl.ocks.org/zanarmstrong/raw/05c1e95bf7aa16c4768e/
    // Data sample {"name": "G", "value": 10, "date": "2016-07"}
    var parseDate = d3.timeParse("%b %Y");
    var displayDate = d3.timeFormat("%y");
    var displayValue = d3.format(",.0f");

    // Ordinal scale
    var x = d3.scaleTime()
        .range([0, width]);

		// Linear scale
    var y = d3.scaleLinear()
        .range([height, 0]);

    var color = d3.scaleOrdinal(d3.schemeCategory10);

    var area = d3.area()
    	.curve(d3.curveBasis)
    	.x(function(d) { return x(d.date); })
    	.y0(function(d) { return y(d.sum_others); })
    	.y1(function(d) { return y(d.price); });

    var g = svg.append("g")
    	;//.attr("transform", "translate(0, 0)")


    d3.text(
      "https://gist.githubusercontent.com/mbostock/1256572/raw/44c086a6019de56dce35a47197a19468b3e4ad57/stocks.csv",
      function (err,rawData) {

        var dsv  = d3.dsvFormat (',') ;
        var data = dsv.parse (rawData) ;
        data.forEach(function(d) {
					d.price = +d.price;
        	d.date = parseDate(d.date);
      	});
        var n_data = d3.nest ()
        	.key (function (d) { return d.symbol ; })
        	.entries (data) ;

        for (i = 0; i < n_data.length; ++i) {
          for (j = 0; j < n_data[i].values.length; ++j) {
            var elem = n_data[i].values[j] ;
            elem.sum_others = 0 ;
            for (k = i + 1; k < n_data.length; ++k) {
              elem.sum_others += n_data[k].values[j].price ;
            }
            elem.price += elem.sum_others ;
          }
        }

      x.domain(d3.extent(data, function(d) { return d.date; }));
      var maxY = d3.max(data, function(d) { return d.price; }) ;
			y.domain([0, maxY]);

      /* center all of this */
      for (i = 0; i < n_data[0].values.length; ++i) {
        var blank_under = (maxY - n_data[0].values[i].price) / 2 ;
        for (j = 0; j < n_data.length; ++j) {
          n_data[j].values[i].price      += blank_under ;
          n_data[j].values[i].sum_others += blank_under ;
        }
      }

      console.log(n_data);

      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")
        .attr("transform", "translate(0,0)")
        .call(d3.axisLeft(y).ticks(20));

      g.selectAll(".area").data(n_data).enter().append("path")
        .attr("class", "area")
        .attr("d", function (d) { return area (d.values) } )
      	.attr("fill", function(d,i) { return color (d.key) ; })

      var legend = svg.selectAll(".legend")
    		.data(color.domain())
  			.enter().append("g")
  		  .attr("class", "legend")
  		  .attr("transform", function(d, i) {
          var vals = n_data[i].values ;
          return "translate(" + (width - 40) + ","
            + (y((vals[vals.length - 1].price
                  + vals[vals.length - 1].sum_others) / 2))
            + ")"; });

 			legend.append("text")
      	.attr("x", 50)
      	.attr("y", 9)
      	.attr("dy", ".35em")
      	.style("text-anchor", "start")
      	.text(function(d) { return d; });

    });

  </script>
</body>
	[{"name": "A", "value": 10, "date": "2016-01"},
	{"name": "B", "value": 30, "date": "2016-02"},
	{"name": "C", "value": 20, "date": "2016-03"},
	{"name": "D", "value": 40, "date": "2016-04"},
	{"name": "E", "value": 50, "date": "2016-05"},
	{"name": "F", "value": 20, "date": "2016-06"},
	{"name": "G", "value": 10, "date": "2016-07"}
	]
	<!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 { /* useless here */
	fill: none;
	stroke: black;
	stroke-width: 2.5px;
	}

	.area {
	//opacity: 0.5;
	}
	</style>
	</head>

	<body>
	<script>

	var margin = {top: 20, right: 40, bottom: 20, left: 100};
	var width = 760 - margin.left - margin.right;
	var 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 + ")");


	// See formats http://bl.ocks.org/zanarmstrong/raw/05c1e95bf7aa16c4768e/
	// Data sample {"name": "G", "value": 10, "date": "2016-07"}
	var parseDate = d3.timeParse("%b %Y");
	var displayDate = d3.timeFormat("%y");
	var displayValue = d3.format(",.0f");

	// Ordinal scale
	var x = d3.scaleTime()
	.range([0, width]);

	// Linear scale
	var y = d3.scaleLinear()
	.range([height, 0]);

	var color = d3.scaleOrdinal(d3.schemeCategory10);

	var area = d3.area()
	.curve(d3.curveBasis)
	.x(function(d) { return x(d.date); })
	.y0(function(d) { return y(d.sum_others); })
	.y1(function(d) { return y(d.price); });

	var g = svg.append("g")
	;//.attr("transform", "translate(0, 0)")



	d3.text(
	"https://gist.githubusercontent.com/mbostock/1256572/raw/44c086a6019de56dce35a47197a19468b3e4ad57/stocks.csv",
	function (err,rawData) {

	var dsv = d3.dsvFormat (',') ;
	var data = dsv.parse (rawData) ;
	data.forEach(function(d) {
	d.price = +d.price;
	d.date = parseDate(d.date);
	});
	var n_data = d3.nest ()
	.key (function (d) { return d.symbol ; })
	.entries (data) ;

	for (i = 0; i < n_data.length; ++i) {
	for (j = 0; j < n_data[i].values.length; ++j) {
	var elem = n_data[i].values[j] ;
	elem.sum_others = 0 ;
	for (k = i + 1; k < n_data.length; ++k) {
	elem.sum_others += n_data[k].values[j].price ;
	}
	elem.price += elem.sum_others ;
	}
	}

	x.domain(d3.extent(data, function(d) { return d.date; }));
	var maxY = d3.max(data, function(d) { return d.price; }) ;
	y.domain([0, maxY]);

	/* center all of this */
	for (i = 0; i < n_data[0].values.length; ++i) {
	var blank_under = (maxY - n_data[0].values[i].price) / 2 ;
	for (j = 0; j < n_data.length; ++j) {
	n_data[j].values[i].price += blank_under ;
	n_data[j].values[i].sum_others += blank_under ;
	}
	}

	console.log(n_data);

	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")
	.attr("transform", "translate(0,0)")
	.call(d3.axisLeft(y).ticks(20));

	g.selectAll(".area").data(n_data).enter().append("path")
	.attr("class", "area")
	.attr("d", function (d) { return area (d.values) } )
	.attr("fill", function(d,i) { return color (d.key) ; })

	var legend = svg.selectAll(".legend")
	.data(color.domain())
	.enter().append("g")
	.attr("class", "legend")
	.attr("transform", function(d, i) {
	var vals = n_data[i].values ;
	return "translate(" + (width - 40) + ","
	+ (y((vals[vals.length - 1].price
	+ vals[vals.length - 1].sum_others) / 2))
	+ ")"; });

	legend.append("text")
	.attr("x", 50)
	.attr("y", 9)
	.attr("dy", ".35em")
	.style("text-anchor", "start")
	.text(function(d) { return d; });

	});

	</script>
	</body>