D3 Examples - projet

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<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <style>
    h1 {
      text-align : center;
    }
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    svg {
      position: relative;
        left: 30px;
        border: 3px solid   #B0E0E6;
    }
​
​
  </style>
</head>
​
<body>
<p>
  <h1>Comparison of the quality of TER flows</h1>
   <div>
    <input id="slider" type="range" value="1" min="1" max="60" step="1" />
    <span id="month">month </span>
  </div>
  <script>
 /*   var width = 700,
            height = 580;
    
        var svg = d3.select( "body" )
        .append( "svg" )
          .attr( "width", width )
          .attr( "height", height );
​
    // On rajoute un groupe englobant toute la visualisation pour plus tard
    var g = svg.append( "g" ); 
        // French map centered
    var projection = d3.geoConicConformal().center([2.454071, 46.279229]).scale(2300);
    var path = d3.geoPath() 
                 .projection(projection);
        // On definie une echelle de couleur/
        var color = d3.scaleQuantize()  
                .range(["rgb(213,239,204)", 
                  "rgb(169,221,160)", 
                  "rgb(94,186,97)", 
                  "rgb(42,141,71)", 
                  "rgb(0,91,36)"]);
    ////
    d3.csv("TER_France2013_2017.csv", function(data) {
      //Set input domain for color scale
      var colonne = "Nombre de trains programmés"; 
      //console.log("t = " + parseFloat(data[2][colonne]));
      //var ligne = data[2];
      
    //  console.log(ligne["Date"]);/
                color.domain([
                    //d3.min(data, function(d) { / *console.log("=>" + parseFloat(d[colonne]));* /
          //  return parseFloat(d[colonne]); }), 
                    //d3.max(data, function(d) { return parseFloat(d[colonne]); })
                0,50
        ]);
    
    d3.json("regions.json", function(json) {
      
      //On fusionne les donnees avec le GeoJSON des regions
      for (var i = 0; i < data.length; i++) {
           //Nom de l'etat
          var dataState = data[i]["Région"];
            //var dataDate = data[i]["Date"];
                    //var year = dataDate.substring(0,4);
        if(dataDate == "2013-01"){
       // console.log("nbrLate = " + nbrLate);
       // console.log("nbrCanceled = " + nbrCanceled);
       // console.log("nbrProvided = " + nbrProvided);
       // console.log("nbrCirculated = " + nbrCirculated);
        // On remarque que nbrProvided = nbrCirculated + nbrCanceled
        // Nous allons étudier nbrCanceled + nbrLate
        // X  % ===> (nbrCirculated + nbrCanceled)
        // 100% ===> (nbrProvided )
        // X = (nbrLate + nbrCanceled) * 100/nbrProvided
        var valuePourcentage = parseFloat((nbrLate + nbrCanceled) * 100/nbrProvided); ;
        console.log("pour% : " + valuePourcentage);
        var dataValue = valuePourcentage; 
            //Recherche de l'etat dans le GeoJSON//
          for (var j = 0; j < json.features.length; j++) {
            var jsonState = json.features[j].properties.nom;
            if (dataState == jsonState) {
              console.log(dataState);
;             //On injecte la valeur de l'Etat dans le json
              json.features[j].properties.value = dataValue;
              //Pas besoin de chercher plus loin
              break;
             }
          }     
      }
      
      }
      
        g.selectAll("path")
              .data(json.features)
              .enter()
              .append("path")
              .attr("d", path)
              .style("fill", function(d) {
               var value = d.properties.value; 
                      if (value) {
                            return color(value);
                        } else { 
                          // si pas de valeur alors en gris
                            return "#ccc";
                        }
                   });
      
    });
      
    });
    
*/
    
    
        
        var width = 700,
          height = 580;
​
        var svg = d3.select( "body" )
        .append( "svg" )
          .attr( "width", width )
          .attr( "height", height );
    
    // French map 
    var projection = d3.geoConicConformal().center([2.454071, 46.279229]).scale(2500);
    
    // On definie une echelle de couleur
        var color = d3.scaleQuantize()  
                .range(["rgb(213,239,204)", 
                  "rgb(169,221,160)", 
                  "rgb(94,186,97)", 
                  "rgb(42,141,71)", 
                  "rgb(0,91,36)"]);
     /*Area containing the name and the value of each region*/
    var tooltip = d3.select('body')
                                    .append('div')
                                    .attr('class', 'hidden tooltip');
           
    var path = d3.geoPath() // d3.geo.path avec d3 version 3
                 .projection(projection);
​
        
    // On rajoute un groupe englobant toute la visualisation pour plus tard
    //var g = svg.append( "g" );     
    
    d3.csv("TER_France2013_2017.csv", function(data) {
         var jsonF;
         var listMonths = Object.keys(data[0]);
      
            //Set input domain for color scale
            /*  color.domain([
                    d3.min(data, function(d) { return parseFloat(d.somme2014); }), 
                    d3.max(data, function(d) { return parseFloat(d.somme2014); })
                ]);*/
        color.domain([
                    0,200
                ]);
        
        d3.json("regions.json", function(json) {
                // first value for slider
            var first = listMonths[1];
            d3.select('#month').html(first);
            // update the month in slider
            d3.select("#slider").on("input", function() {
              updateViz(+this.value);
            });
          
        //On fusionne les donnees avec le GeoJSON des regions
        for (var i = 0; i < data.length; i++) {
          // Find the name of the region in csv file
          var dataState = data[i].region;
            for (var j = 0; j< json.features.length; j++){
            // Find the name of the region in json file
            var jsonState = json.features[j].properties.nom;
            if (dataState == jsonState) {
              json.features[j].properties.tab =  Object.values(data[i]);
                //stop because result found
               break;
            }
          }
        }
         
 
        svg.selectAll("path")
          .data(json.features)
          .enter()
          .append("path")
          .attr("d", path);
        
        jsonF = json; 
        drawMap(1); 
        }); // End of "d3.json("regions.json", function(json){"
      
      //update elements 
        function updateViz(val){
        d3.select('#month').html(listMonths[val]);
        drawMap(val); 
        };
      
      // Draw the map
      function drawMap(currentMonth){
        var nbr;
        //Set input domain for color scale
        color.domain([
          //console.log("====> x : " + Object.values(x)[currentMonth]); 
            d3.min(data, function(x) { return parseFloat(Object.values(x)[currentMonth]);}), 
            d3.max(data, function(x) { return parseFloat(Object.values(x)[currentMonth]);})
          ]);
      
        carte = svg.selectAll("path")
           .data(jsonF.features);
        carte
          .on('mousemove', function(d) {
                        if(d.properties.tab == undefined){
                        nbr = "undefined";
                    }else { 
                      nbr = d.properties.tab[currentMonth]; 
                }
                var mouse = d3.mouse(svg.node()).map(function(d) {
                 return parseInt(d);
              });
          
              tooltip.classed('hidden', false)
                     .attr('style', 'left:' + (mouse[0] + 15) +
                             'px; top:' + (mouse[1] - 35) + 'px')
                     .html(d.properties.nom + ":" + parseFloat(nbr));
                      
              })
            .on('mouseout', function() {
              tooltip.classed('hidden', true);
              });
        
        //code in case of update of the map / change of month 
        carte 
         .attr('class', function(d) {
                return 'province ' + d.properties.code;
             })
                .attr('d', path)
            .style("fill", function(d) {
                // get value found above
                var tab = d.properties.tab;
                if (tab) {
                    return color(tab[currentMonth]);
                } else { 
                    // if no value then color with Grey
                    return "#ccc";
                }
            });
        
        // fist time of coloring the map
        carte.selectAll("path")
            .enter()
            .data(jsonF.features)
            .append("path")
            .attr("class", "enter")
            .attr("d", path)
            .style("fill", function(d) {
                  // get value found above
                  var tab = d.properties.tab;
                  if (tab) {  
                      return color(tab[currentMonth]);
                  } else { 
                      // if no value then color with Grey 
                      return "#ccc";
                  }
              });
​
      }; // End of drawMap
    }); // End of "d3.csv("GrippeFrance2014.csv", function(data){"
​
​
  </script>
​
</body>
​
    