lcastrogarcia/.block

## .block
license: gpl-3.0

## README.md

      
    Raw
  

              README.md
            
          
    This pie chart is constructed from a CSV file storing the populations of various age groups. The chart employs a number of D3 features:

d3-dsv - load and parse data
d3-scale - color encoding
d3-shape - layout and render arcs

forked from mbostock's block: Pie Chart

  
## data.csv

          
            age
            population

            
              <5
              2704659

            
              5-13
              4499890

            
              14-17
              2159981

            
              18-24
              3853788

            
              25-44
              14106543

            
              45-64
              8819342

            
              ≥65
              612463

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

.arc text {
  font: 10px sans-serif;
  text-anchor: middle;
}

.arc path {
  stroke: #fff;
}

</style>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

var svg = d3.select("svg"),
    width = +svg.attr("width"),
    height = +svg.attr("height"),
    radius = Math.min(width, height) / 2,
    g = svg.append("g").attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");

var color = d3.scaleOrdinal(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);

var pie = d3.pie()
    .sort(null)
    .value(function(d) { return d.population; });

var path = d3.arc()
    .outerRadius(radius - 10)
    .innerRadius(0);

var label = d3.arc()
    .outerRadius(radius - 40)
    .innerRadius(radius - 40);

d3.json("prepared_usagers", function(data) {
  for (let i=0; i<data.length;i++){
    var total_hommes = data[i].nombre;
    var pourcentage_25 = data[i].<25;
  }

  var arc = g.selectAll(".arc")
    .data(pie(data))
    .enter().append("g")
      .attr("class", "arc");

  arc.append("path")
      .attr("d", path)
      .attr("fill", function(d) { return color(d.data.age); });

  arc.append("text")
      .attr("transform", function(d) { return "translate(" + label.centroid(d) + ")"; })
      .attr("dy", "0.35em")
      .text(function(d) { return d.data.age; });
});

</script>

## prepared_usagers
[{"sexe": "homme", "nombre": 75480, "<25": 15653, "25-45": 33926, "46-70": 22155, ">70": 3746}, {"sexe": "femme", "nombre": 23619, "<25": 4268, "25-45": 10715, "46-70": 7154, ">70": 1482}]
	age	population
	<5	2704659
	5-13	4499890
	14-17	2159981
	18-24	3853788
	25-44	14106543
	45-64	8819342
	≥65	612463
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	.arc text {
	font: 10px sans-serif;
	text-anchor: middle;
	}

	.arc path {
	stroke: #fff;
	}

	</style>
	<svg width="960" height="500"></svg>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script>

	var svg = d3.select("svg"),
	width = +svg.attr("width"),
	height = +svg.attr("height"),
	radius = Math.min(width, height) / 2,
	g = svg.append("g").attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");

	var color = d3.scaleOrdinal(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);

	var pie = d3.pie()
	.sort(null)
	.value(function(d) { return d.population; });

	var path = d3.arc()
	.outerRadius(radius - 10)
	.innerRadius(0);

	var label = d3.arc()
	.outerRadius(radius - 40)
	.innerRadius(radius - 40);

	d3.json("prepared_usagers", function(data) {
	for (let i=0; i<data.length;i++){
	var total_hommes = data[i].nombre;
	var pourcentage_25 = data[i].<25;
	}

	var arc = g.selectAll(".arc")
	.data(pie(data))
	.enter().append("g")
	.attr("class", "arc");

	arc.append("path")
	.attr("d", path)
	.attr("fill", function(d) { return color(d.data.age); });

	arc.append("text")
	.attr("transform", function(d) { return "translate(" + label.centroid(d) + ")"; })
	.attr("dy", "0.35em")
	.text(function(d) { return d.data.age; });
	});

	</script>