ddonatien/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org

  
## index.html
<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
  <script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
  <style>
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
  </style>
</head>

<body>
  <script>
		var width = 700,
  		  height = 580;

    var dataCsv = "https://lyondataviz.github.io/teaching/lyon1-m2/2017/data/GrippeFrance2014.csv";
		var svg = d3.select( "body" )
  		.append( "svg" )
		  .attr( "width", width )
		  .attr( "height", height );

    var projection = d3.geoConicConformal()
                       .center([2.454071, 46.279229])
                       .scale(2800);

    var path = d3.geoPath() // d3.geo.path avec d3 version 3
                 .projection(projection);

    d3.csv(dataCsv, function(data) {
      let color = d3.scaleOrdinal(d3.schemeGreens[7])
                    .domain([0, 2000]);

      maxValue = 0
      d3.json("regions.json", function(json) {
        //On fusionne les donnees avec le GeoJSON des regions
        let geoGrippe = {};
        for (var i = 0; i < data.length; i++) {
          let dataValue= parseFloat(data[i].somme2014);
          if (dataValue > maxValue) maxValue = dataValue;
          geoGrippe[data[i].region]  = dataValue;
        }

        color.domain([0, maxValue]);

        svg.selectAll("path")
           .data(json.features)
           .enter()
           .append("path")
           .attr("d", path)
           .style("fill", function(d) {
              var value = geoGrippe[d.properties.nom];
              return color(value)
           });
        });
    });
  </script>
</body>

## regions.json

      
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              regions.json
            
          
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	<!DOCTYPE html>
	<head>
	<meta charset="utf-8">
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
	<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
	<style>
	body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
	</style>
	</head>

	<body>
	<script>
	var width = 700,
	height = 580;

	var dataCsv = "https://lyondataviz.github.io/teaching/lyon1-m2/2017/data/GrippeFrance2014.csv";
	var svg = d3.select( "body" )
	.append( "svg" )
	.attr( "width", width )
	.attr( "height", height );

	var projection = d3.geoConicConformal()
	.center([2.454071, 46.279229])
	.scale(2800);

	var path = d3.geoPath() // d3.geo.path avec d3 version 3
	.projection(projection);

	d3.csv(dataCsv, function(data) {
	let color = d3.scaleOrdinal(d3.schemeGreens[7])
	.domain([0, 2000]);

	maxValue = 0
	d3.json("regions.json", function(json) {
	//On fusionne les donnees avec le GeoJSON des regions
	let geoGrippe = {};
	for (var i = 0; i < data.length; i++) {
	let dataValue= parseFloat(data[i].somme2014);
	if (dataValue > maxValue) maxValue = dataValue;
	geoGrippe[data[i].region] = dataValue;
	}

	color.domain([0, maxValue]);

	svg.selectAll("path")
	.data(json.features)
	.enter()
	.append("path")
	.attr("d", path)
	.style("fill", function(d) {
	var value = geoGrippe[d.properties.nom];
	return color(value)
	});
	});
	});
	</script>
	</body>
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