D3 Examples - gini curves

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<!DOCTYPE html>
<meta charset="utf-8">
<style>
​
body {
  font: 14px sans-serif;
}
​
.axis path,
  
.axis line {
  fill: none;
  stroke: #e5e5e5;
  shape-rendering: crispEdges;
}
​
.axis path {
  display: none;
}
​
.line {
  fill: none;
  stroke-width: 1px;
  opacity: 1;
}
​
​
 
  
</style>
<body>
​
  <p> Work in Progress !!!!!</p>
 
<div style="width: 1000px; padding-left: 0.75cm">
<div class="container" id="chartw" style="float: left; width: 500px; height: 500px;margin-top: 25px;"><h2>Wins</h2></div>
<div class="container" id="chartl" style="float: left; width: 500px; height: 500px;margin-top: 25px;"><h2>Losses</h2></div>
</div>
  
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
​
var margin = {top: 60, right: 80, bottom: 60, left: 80},
    width = 500 - margin.left - margin.right,
    height = 460 - margin.top - margin.bottom;
​
var x = d3.scale.linear()
    .range([0, width])
      .domain([12,1]);
​
var y = d3.scale.linear()
    .range([height, 0])
    .domain([0,1]);
​
var color = d3.scale.ordinal()
    .range(["#e4b31f", "#9d1422", "#f9db9e", "#f4a3a5", "#f1624f"])
    .domain(["A","B","C","D","E"]);
​
var giniw = [0.62,0.79,0.55,0.69,0.78];  
var ginil = [0.22,0.22,0.25,0.21,0.20];  
  
var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom")
    .tickFormat(d3.format("d"));
​
var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left")
    .ticks(5)
    .tickSize(-width, 0, 0);
​
var line = d3.svg.line()
    .interpolate("basis")
    .x(function(d) { return x(d.rank); })
    .y(function(d) { return y(d.cohort); });
​
var svg = d3.select("body").select("div#chartw").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 + ")");
​
var svgl = d3.select("body").select("div#chartl").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 + ")");
 
  
d3.csv("wins.txt", function(error, data) {
  if (error) throw error;
  
  data.forEach(function (d,i) {
      d.rank = +d.rank;
      d.A = +d.A;
      d.B = +d.B;
      d.C = +d.C;
    d.D = +d.D;
    d.E = +d.E;
  })
​
  var keys = d3.keys(data[0]).filter(function(key) { return key !== "rank"; });
  
  var cohortLines = keys.map(function(name) {
    return {
      name: name,
      values: data.map(function(d) {
            return {
                rank: d.rank,
                cohort: d[name]};
        })
    };
  });
​
  //Append axes
  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);
​
  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis);
​
  
    //Append the lines
    var lines = svg.selectAll(".lines")
        .data(cohortLines)
        .enter().append("g")
        .attr("class", "lines")
    .on("mouseover", function(d,i){
      d3.select("div#chartw.container svg")
        .append("text")
             .attr("id", "cohorttext")
             .html("Cohort " + d.name )
             .attr("x",(width)/1.2)
             .attr("y",margin.top*1.5)
             .style("fill", color(d.name))
             .style("font-weight", "bold") 
             .style("font-size", "18px");
      
      d3.select("div#chartw.container svg")
       .append("text")
             .attr("id", "cohorttextx")
             .html("Gini = " + giniw[i])
           .attr("x",(width)/1.2)
             .attr("y",20+margin.top*1.5)
             .style("fill", color(d.name))
             .style("font-size", "14px");
      
    })
  .on("mouseout",  function() {
    d3.select("#cohorttext").remove()  
    d3.select("#cohorttextx").remove()  
  })
 ;
​
​
    //Actual full opacity thin line     
    lines.append("path")
            .attr("class", "line")
          .classed("mainline", true)
            .attr("d", function(d) { return line(d.values); })
            .style("stroke", function(d) { return color(d.name); })
            .style("stroke-width", 2);
​
  // Fading and Selecting Lines
d3.selectAll('path.line.mainline')
    .on("mouseover", function(d) { 
    var HoveredLine = this;
     d3.selectAll('path.line.mainline').transition().duration(0)
       .style('opacity',function () {
       return (this === HoveredLine) ? 1.0 : 0.1;
    })
      .style('stroke-width',function () {
       return (this === HoveredLine) ? 4 : 2;
    }) ;
})
  .on("mouseout",  function() {
   d3.selectAll('path.line.mainline')
     .style("opacity", 1)
         .style("stroke-width", 2)
          
  })
 ;
​
​
// X-axis label
d3.select("svg").append("text")
            .attr("text-anchor", "middle")  
            .attr("transform", "translate("
                  +((width + margin.left + margin.right)/2) +","
                  +(height + margin.top + margin.bottom)+")")  
            .text("Rank");
​
// Y-axis label
d3.select("svg").append("text")
            .attr("text-anchor", "middle")  
            .attr("transform", "translate("
                  + (margin.left/3) +","
                  +((height + margin.top + margin.bottom)/2)+")rotate(-90)")
            .text("Cumulative Proportion of Wins");  
  
});
​
  
// losses
  
d3.csv("losses.txt", function(error, data) {
  if (error) throw error;
  
  data.forEach(function (d,i) {
      d.rank = +d.rank;
      d.A = +d.A;
      d.B = +d.B;
      d.C = +d.C;
    d.D = +d.D;
    d.E = +d.E;
  })
​
  var keys = d3.keys(data[0]).filter(function(key) { return key !== "rank"; });
  
  var cohortLines = keys.map(function(name) {
    return {
      name: name,
      values: data.map(function(d) {
            return {
                rank: d.rank,
                cohort: d[name]};
        })
    };
  });
​
  //Append axes
  svgl.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);
​
  svgl.append("g")
      .attr("class", "y axis")
      .call(yAxis);
​
  
    //Append the lines
    var lines = svgl.selectAll(".lines")
        .data(cohortLines)
        .enter().append("g")
        .attr("class", "lines")
        .on("mouseover", function(d,i){
      d3.select("div#chartl.container svg")
             .append("text")
             .attr("id", "cohorttext")
             .text("Cohort " + d.name)
             .attr("x",(width)/1.2)
             .attr("y",margin.top*1.5)
             .style("fill", color(d.name))
             .style("font-weight", "bold") 
             .style("font-size", "18px");
          
        
      d3.select("div#chartl.container svg")
       .append("text")
             .attr("id", "cohorttextx")
             .html("Gini = " + ginil[i])
             .attr("x",(width)/1.2)
             .attr("y",20+margin.top*1.5)
             .style("fill", color(d.name))
             .style("font-size", "14px");   
          
          
    })
  .on("mouseout",  function() {
    d3.select("#cohorttext").remove()  
    d3.select("#cohorttextx").remove()  
  })
 ;
​
​
    //Actual full opacity thin line     
    lines.append("path")
            .attr("class", "line")
          .classed("mainlinel", true)
            .attr("d", function(d) { return line(d.values); })
            .style("stroke", function(d) { return color(d.name); })
            .style("stroke-width", 2)
  
 ;
​
// Fading and Selecting Lines
d3.selectAll('path.line.mainlinel')
    .on("mouseover", function(d) { 
    var HoveredLine = this;
     d3.selectAll('path.line.mainlinel').transition().duration(0)
       .style('opacity',function () {
       return (this === HoveredLine) ? 1.0 : 0.1;
    })
      .style('stroke-width',function () {
       return (this === HoveredLine) ? 4 : 2;
    });
})
  .on("mouseout",  function() {
   d3.selectAll('path.line.mainlinel')
     .style("opacity", 1)
         .style("stroke-width", 2)
          
  })
​
// X-axis label
d3.select("body").select("div#chartl").select("svg").append("text")
            .attr("text-anchor", "middle")  
            .attr("transform", "translate("
                  +((width + margin.left + margin.right)/2) +","
                  +(height + margin.top + margin.bottom)+")")  
            .text("Rank");
​
// Y-axis label
d3.select("body").select("div#chartl").select("svg").append("text")
            .attr("text-anchor", "middle")  
            .attr("transform", "translate("
                  + (margin.left/3) +","
                  +((height + margin.top + margin.bottom)/2)+")rotate(-90)")
            .text("Cumulative Proportion of Losses");  
  
    
});  
  
    
  
  
  
  
</script>
    