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Neonatal tetanus protection

<!DOCTYPE html>

body {
      width: 50%;
      margin: 0 auto;
    }

#title {
      text-align: center;
      font-weight: 600;
    }

/*#map_strip {
      width: 18%;
      margin: 0 auto;
      margin-top: 20px;
    }*/

.dissagg_type {
      font-family: sans-serif;
      align-items: center;
      font-size: 14px;
      padding-top: 7px;
      padding-bottom: 7px;
      text-align: left;
      width: 313px;
      margin: 0 auto;
      font-weight: 600;
    }
    .parent-block.AREA {
      display: flex;
      align-items: center;
      justify-content: center;
    }

.woman-icon {
      fill: #2980b9;
    }

#Punjab_map {
      fill: #2ecc71;
    }

.label {
      font-family: sans-serif;
      font-size: 9px;
    }

.legend-svg {
      display: block;
      margin: 0 auto;
    }

.map_box_div {
      display: block;
      margin: 0 auto;
    }

.map_in_a_box {
      margin: 0 auto;
      display: block;
      margin-top: 20px;
      background: none;
    }

@media only screen and (max-width: 650px) {
      /*Restyling for every block to be stacked on top of one another*/
    }
  </style>
</head>
<body>

var title = d3.select("body")
                .append("div")
                .attr("id", "title")
  title.append("text")
      .text(title_text)
      .style("font-family", "sans-serif")
      .style("font-size", "17px");

// defining the map div with the id "map_strip"
  var map_block = d3.select("body")
                    .append("div")
                    .attr("id", "map_strip")
                    .style("position","relative")

// defining the width and height of the map
  var width = 145, height = 175;

// !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
  // min max has been hard coded, get this from the data itself
  // !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

d3.csv('data_dist.csv', function(d){
    d.forEach(function(d){
      // converting full immunization rates to numeric values in JS
      d.NNT = +d.NNT;
    });

var Indic = d.map(function(d){
      return d.NNT;
    })

var min_ind = d3.min(Indic);
    var max_ind = d3.max(Indic);

console.log(min_ind);
    console.log(max_ind);

// var min_ind = 40
    // var max_ind = 95

// interval length

var min_max_interval = (max_ind - min_ind)/3;

// color scale for the choropleth map (just three gradations)
    var colorScale = d3.scaleThreshold()
        .domain(d3.range(min_ind, max_ind, min_max_interval))
        .range(d3.schemeGreens[4]);

// checking teh cut points for the color scale
    console.log(d3.range(min_ind, max_ind, min_max_interval));

// defining the projection for map (change center and scale to get desired size for the map)
    var projection = d3.geoMercator()
        .center([89.70, 24.80])
        .scale([150 * 9]);

// defining the paths for the maps
    var path = d3.geoPath().projection(projection);
    // bring legend here

// getting the cut points for the legend
    var lowest_int_text = "(" + Math.round(min_ind) + "%-" + Math.round((min_ind + min_max_interval)) +"%)" ;
    var mid_int_text = "(" + Math.round((min_ind + min_max_interval)) + "%-" + Math.round((min_ind + (2*min_max_interval))) +"%)";
    var highest_int_text = "(" + Math.round((min_ind + (2*min_max_interval))) + "%-" + Math.round((min_ind + (3*min_max_interval))) +"%)";

// defining the ordinal scale for drawing the legend
    var ordinal = d3.scaleOrdinal()
                          .domain(["Low " + lowest_int_text , "Mid " + mid_int_text, "High " + highest_int_text])
                          .range([ colorScale(min_ind), colorScale(min_ind + min_max_interval) , colorScale(min_ind + (2*min_max_interval))]);

// svg that contains the legend as well as the map
    var legend_svg = map_block.append("div")
                                .classed("legend-svg-div", true)
                                .style("position","absolute")
                                .style("width","100%")
                                .append("svg")
                                .classed("legend-svg", "true")
                                //.attr("width", )
                                .attr("height", height);

// a group within the svg that contains the legend elements
    legend_svg.append("g")
        .attr("class", "legendOrdinal")
        .attr("transform", "translate(0, 0)");

// defining the color/ ordinal legend
    var legendOrdinal = d3.legendColor()
                          .shapePadding(5)
                          .scale(ordinal)
                          .shapeWidth(15)
                          .shapeHeight(10);

// defining the map svg with the class "map_in_a_box"
    var svg = map_block
                //.select(".legend-svg")
                .append("div")
                .classed("map_box_div", true)
                .append("svg")
                .attr("width", width)
                .attr("height", height)
                .style("opacity", .95)
                .classed("map_in_a_box", "true");

d3.json("Punjab_dist.topojson", function (error, topology) { // <-A
        svg.selectAll("path")
              .data(topojson.feature(topology,
                topology.objects.Punjab_dist_corr).features)
              .enter().append("path")
              .attr("d", path)
              //.style("fill", "#2f4f4f")
              .style("opacity", 0.85)
              .style("stroke", "white")
              .style("stroke-width", 0.125)
              .style("fill", function(d) {//Get data value
                var value = d.properties.NNT;
                if (value) {
                //If value exists…
                  return colorScale(value);
                } else {
                // If value is undefined…
                  return "#ccc";
                }
              });
          //console.log(topology.objects.Punjab_immun.geometries);

d3.select(".legendOrdinal").call(legendOrdinal);

svg.append("text")
              .text("82.5%")
              .attr("x", svg.attr("width")/ 2)
              .attr("y", svg.attr("height")/ 2)
              .style("font-family", "sans-serif")
              .style("font-size", "20px")
              .style("font-weight", "bold")
              .style("text-anchor", "middle")
              .style("fill", "white")
              .style("stroke", "black")
              .style("stroke-width", 0.9)
              .style("fill-opacity", 0.80);
              //.style("fill-opacity", 0.00);
    });

// add the external Punjab map svg into the div by id
    // document.getElementById("map_strip").appendChild(xml.documentElement);
    // var map_svg = d3.select("svg")
    //                 .attr("id", "Punjab_map");
    //
    // map_svg.attr("transform", "translate(0, 0)scale(0.90)");
    //

//
    // console.log(map_svg.attr("width"));

var sizeScale = d3.scale.linear()
                      .domain([50, 100])
                      .range([0.375, 0.75])

strip1 = d3.select("body")
              .append("div")
              .classed("whole-strip", true)

strip2 = d3.select("body")
              .append("div")
              .classed("whole-strip", true)

strip3 = d3.select("body")
              .append("div")
              .classed("whole-strip", true)

// defining dissagg type
    function plot(data, category_label, class_name){
      this.classed(class_name, true);
      var disagg_type = this.append("div")
                            .classed("dissagg-type", true)
                            .style("font-family", "sans-serif")
                            .classed(class_name, true)
                            //.style("display", "flex")
                            .style("align-items", "center")
                            .style("font-size", "14px")
                            .style("font-weight", "600")
                            .style("padding", "7px")
                            .style("padding-top", "12px")
                            .style("width","313px")
                            .style("margin", "0 auto");
      // adding text to the disagg type
      disagg_type.append("text")
                  .text(category_label);

// parent block within div (contains the pictograms and associated data)
      var parent = this.append("div")
                        .classed("parent-block", true)
                        .classed(class_name, true)
                        .style("display", "flex")
                        .style("align-items","center")
                        .style("justify-content","center");

var icons = parent.selectAll(".icon-data")
                        .data(data)
                        .enter()
                        .append("div")
                        .attr("class", "icon-data")

icons.append("div")
            .classed("label-contain", true)
            //.style("text-align", "center")
            //.style("padding-top", "2px")
            .style("text-align", "center")
            .append("text")
            .text(function(d, i){
              return d.category;
            })
            .style("font-family", "sans-serif")
            .style("font-size", "0.8em")

icons.append("div")
          .attr("class", "svg-contain")
          .append("svg")
          .attr("class", "woman-icon")
          .attr("width", 64)
          .attr("height", 64)
          .attr("viewBox", function(d, i ){ // "0 0 64 64"
            return 0 + " " + 0 + " " + 64 + " " + 64;
          })

//d3.select("body")
      this.selectAll(".woman-icon")
          .append("path")
          // .attr("d", "M53.402 52.363c-1.757 0.504-3.553-0.383-4.020-1.991l-6.006-20.976-2.931-0.004 9.604 33.468h-35.78l9.604-33.468-2.935 0.004-6.009 20.976c-0.46 1.609-2.258 2.495-4.013 1.991-1.759-0.504-2.868-2.042-2.278-4.051l6.181-21.52c2.469-8.603 9.668-8.333 9.668-8.333h15.344c0 0 7.2-0.27 9.671 8.333l6.176 21.52c0.589 2.009-0.52 3.547-2.277 4.051zM32.206 33.291c-5.319 0-9.63 4.309-9.63 9.627 0 4.832 3.56 8.835 8.203 9.524v2.641h-2.897v2.883h2.897v2.894h2.882v-2.894h2.895v-2.883h-2.895v-2.645c4.632-0.7 8.172-4.698 8.172-9.52 0-5.318-4.307-9.627-9.626-9.627zM32.157 49.506c-3.71 0-6.716-3.008-6.716-6.718 0-3.708 3.006-6.718 6.716-6.718 3.713 0 6.717 3.010 6.717 6.718 0.001 3.71-3.005 6.718-6.717 6.718z")
          .attr("d", "M55.446 0.465h-46.784c-4.584 0-8.313 3.729-8.313 8.315v46.781c0 4.586 3.729 8.317 8.313 8.317h46.784c4.584 0 8.315-3.731 8.315-8.317v-46.781c0-4.586-3.731-8.315-8.315-8.315zM15.647 9.671c3.15 0 5.704 2.556 5.704 5.704 0 3.153-2.554 5.706-5.704 5.706-3.152 0-5.705-2.553-5.705-5.706 0-3.148 2.554-5.704 5.705-5.704zM9.488 55.322v-29.646c0-1.751 1.421-3.17 3.171-3.17h4.725c0.674 0 1.295 0.215 1.806 0.614 0 0 6.165 4.822 7.866 6.153l5.886-1.882c1.399-0.447 2.892 0.323 3.34 1.724 0.447 1.395-0.324 2.892-1.723 3.341l-7.224 2.308c-0.836 0.268-1.753 0.104-2.446-0.439l-2.988-2.338 6.488 23.334h-18.902zM54.847 55.322h-8.186v-23.782h-1.139l-6.943 13.475c-0.648 1.287-2.212 1.81-3.498 1.165-1.288-0.645-1.81-2.207-1.166-3.493l8.324-16.008-3.231-0.52-0.258 0.936-7.974-1.786 0.224-0.999-1.491-0.334-0.228 0.998-0.595-0.132 0.685-3.055 0.599 0.132-0.222 0.998 1.491 0.332 0.224-0.994 7.973 1.786-0.141 0.91 3.339 0.975 0.575-1.104c0.888-1.384 1.949-2.184 4.286-2.184h7.356v32.685zM49.216 21.102c-3.157 0-5.714-2.558-5.714-5.711 0-3.158 2.557-5.718 5.714-5.718 3.152 0 5.712 2.56 5.712 5.718 0 3.153-2.56 5.711-5.712 5.711z")

//d3.select("body")
      this.selectAll(".icon-data")
          .selectAll(".woman-icon")
          .attr("transform", function(d, i){
            //return "translate(" + 64*i + "," + (64 - sizeScale(d.value) * 64)/2 + ")" + "scale(" + sizeScale(d.value) + ")" ;
            return "translate(" + 64*i + ",0)" + "scale(" + sizeScale(d.value) + ")" ;
          });

//d3.select("body")
      this.selectAll(".icon-data")
          .append("div")
          .classed("text-contain", true)
          .style("text-align", "center")
          .style("padding-top", "2px")
          .append("text")
          .text(function(d, i){
            return d.value + "%";
          })
          //.attr("dy", 69)
          .style("font-family", "sans-serif")

}

plot.call(strip1, [{category: "Lowest", value: 65.5},
                      {category: "Second", value: 79.2},
                      {category: "Middle", value: 84.1},
                      {category: "Fourth", value: 87.7},
                      {category: "Highest", value: 93.7}], "Across Wealth Quintile", "WQTL");

plot.call(strip2, [{category: "Preschool", value: 73.9},
                      {category: "Primary", value: 86.7},
                      {category: "Middle", value: 87.6},
                      {category: "Matric", value: 90.2},
                      {category: "Higher", value: 93.7}], "Across Mother's education", "MOTH_EDUC");

plot.call(strip3, [{category: "Rural", value: 80.4},
                       {category: "Urban", value: 86.8}], "Across Area", "AREA");

})

</script>
</body>
</html>

Modified http://d3js.org/d3.v3.min.js to a secure url

Modified http://d3js.org/d3.v4.min.js to a secure url

https://d3js.org/d3.v3.min.js

https://d3js.org/d3.v4.min.js

https://d3js.org/d3-scale-chromatic.v1.min.js

https://d3js.org/topojson.v2.min.js

https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.25.0/d3-legend.js