romsson/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org
forked from romsson's block: Stacked bar chart v4 stocks data

  
## index.html
<!DOCTYPE html>
<style>


</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

// Source: https://bl.ocks.org/mbostock/3886208
var n = 10, // number of samples (columns)
    m = 5; // number of series (layers)

var data = d3.range(n).map(function() {
  return d3.range(m).map(Math.random);
});

var margin = {top: 20, right: 30, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var y = d3.scaleLinear()
    .rangeRound([height, 0])
		.nice();

var x = d3.scaleBand()
    .rangeRound([0, width])
    .paddingInner(0.05)
    .align(0.1)

var z = d3.scaleOrdinal(d3.schemeCategory20)

  // Date format https://bl.ocks.org/zanarmstrong/ca0adb7e426c12c06a95
  var parseTime  = d3.timeParse("%b %Y")


    // Load stocks data
  // Ex: 0: {symbol: "MSFT", date: "Jan 2000", price: "39.81"}
  d3.csv('https://raw.githubusercontent.com/LyonDataViz/MOS5.5-Dataviz/master/data/stocks.csv', function(error, raw) {

    var symbols = [];
    var data = []

    // Data pre-processing
    raw.forEach(function(d, i) {

      if(symbols.indexOf(d.symbol) < 0) {
        symbols.push(d.symbol)
        data[symbols.indexOf(d.symbol)] = [];
      }

      // String to INT
      d.value = +d.price;

      // Parsing time
      d.date = parseTime(d.date)
      data[symbols.indexOf(d.symbol)].push(d);
    });

    var data_nest = d3.nest()
    	.key(function(d) { return d.date.getFullYear(); })
    	.key(function(d) { return d.symbol; })
    	.rollup(function(v) { return d3.sum(v, function(d) { return d.price; }); })
			.entries(raw);

    var years = data_nest.map(function(d) { return d.key; })

    // d3-stack format https://github.com/d3/d3-shape/blob/master/README.md#stack_keys
    // {MSFT: 356.07999999999987, AMZN: 527.17, IBM: 1162.97, AAPL: 260.98}
    var data_stack = []

    data_nest.forEach(function(d, i) {
      d.values = d.values.map(function(e) { return e.value; })
      var t ={}
      symbols.forEach(function(e, i) {
        t[e] = d.values[i]
      })
      t.year = d.key;
      data_stack.push(t)
    })

    console.log(data_stack)

    var layers = d3.stack().keys(symbols)(data_stack);

    var max = d3.max(layers[layers.length-1], function(d) { return d[1]; });

    y.domain([0, max]);
    x.domain(years);

    console.log(data_stack)

    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 + ")");

    svg.append("g").selectAll("g")
          .data(layers)
      .enter().append("g")
        .style("fill", function(d) { return z(d.key); })
        .selectAll("rect")
      .data(function(d) {  return d; })
        .enter().append("rect")
          .attr("x", function(d, i) { return x(d.data.year); })
          .attr("y", function(d) { return y(d[1]); })
          .attr("height", function(d) { return y(d[0]) - y(d[1]); })
          .attr("width", x.bandwidth());

    svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x))

    svg.append("g")
      .attr("class", "y axis")
      .attr("transform", "translate(" + (0) + ", 0)")
      .call(d3.axisLeft().scale(y))

    })

</script>
	<!DOCTYPE html>
	<style>



	</style>
	<body>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script>

	// Source: https://bl.ocks.org/mbostock/3886208
	var n = 10, // number of samples (columns)
	m = 5; // number of series (layers)

	var data = d3.range(n).map(function() {
	return d3.range(m).map(Math.random);
	});

	var margin = {top: 20, right: 30, bottom: 30, left: 40},
	width = 960 - margin.left - margin.right,
	height = 500 - margin.top - margin.bottom;

	var y = d3.scaleLinear()
	.rangeRound([height, 0])
	.nice();

	var x = d3.scaleBand()
	.rangeRound([0, width])
	.paddingInner(0.05)
	.align(0.1)

	var z = d3.scaleOrdinal(d3.schemeCategory20)

	// Date format https://bl.ocks.org/zanarmstrong/ca0adb7e426c12c06a95
	var parseTime = d3.timeParse("%b %Y")


	// Load stocks data
	// Ex: 0: {symbol: "MSFT", date: "Jan 2000", price: "39.81"}
	d3.csv('https://raw.githubusercontent.com/LyonDataViz/MOS5.5-Dataviz/master/data/stocks.csv', function(error, raw) {

	var symbols = [];
	var data = []

	// Data pre-processing
	raw.forEach(function(d, i) {

	if(symbols.indexOf(d.symbol) < 0) {
	symbols.push(d.symbol)
	data[symbols.indexOf(d.symbol)] = [];
	}

	// String to INT
	d.value = +d.price;

	// Parsing time
	d.date = parseTime(d.date)
	data[symbols.indexOf(d.symbol)].push(d);
	});

	var data_nest = d3.nest()
	.key(function(d) { return d.date.getFullYear(); })
	.key(function(d) { return d.symbol; })
	.rollup(function(v) { return d3.sum(v, function(d) { return d.price; }); })
	.entries(raw);

	var years = data_nest.map(function(d) { return d.key; })

	// d3-stack format https://github.com/d3/d3-shape/blob/master/README.md#stack_keys
	// {MSFT: 356.07999999999987, AMZN: 527.17, IBM: 1162.97, AAPL: 260.98}
	var data_stack = []

	data_nest.forEach(function(d, i) {
	d.values = d.values.map(function(e) { return e.value; })
	var t ={}
	symbols.forEach(function(e, i) {
	t[e] = d.values[i]
	})
	t.year = d.key;
	data_stack.push(t)
	})

	console.log(data_stack)

	var layers = d3.stack().keys(symbols)(data_stack);

	var max = d3.max(layers[layers.length-1], function(d) { return d[1]; });

	y.domain([0, max]);
	x.domain(years);

	console.log(data_stack)

	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 + ")");

	svg.append("g").selectAll("g")
	.data(layers)
	.enter().append("g")
	.style("fill", function(d) { return z(d.key); })
	.selectAll("rect")
	.data(function(d) { return d; })
	.enter().append("rect")
	.attr("x", function(d, i) { return x(d.data.year); })
	.attr("y", function(d) { return y(d[1]); })
	.attr("height", function(d) { return y(d[0]) - y(d[1]); })
	.attr("width", x.bandwidth());

	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + height + ")")
	.call(d3.axisBottom(x))

	svg.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + (0) + ", 0)")
	.call(d3.axisLeft().scale(y))

	})

	</script>