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noblemillie

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Makeover Monday 13: Dot plot

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forked from tomshanley's block: Makeover Monday 13: Dot plot

<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://d3js.org/d3.v4.min.js"></script>
  <style>
    body { margin:20;top:0;right:0;bottom:0;left:0; font-family: Sans-serif; }
    .tick > text { fill: Grey; font-family: monospace; }
    line { stroke: LightGrey }
    .domain { stroke: LightGrey }
    .domain > text { fill: LightGrey }
    .label { font-family: monospace; text-anchor: middle; font-size: 14px; fill: white; }
    .legend-label { font-family: monospace; text-anchor: middle; font-size: 18px; fill: DarkSlateGrey; }
    .chart-intro { width: 1300 ; text-align: center }
    
  </style>
</head>

<body>
  <H1>#MakeoverMonday 13: Mar 27</H1>
  <p>My attempt for the Makeover Monday which showed people's responses to what they feel is most important for success.</p>
  <p>The data was sourced from a Russian market research company, and I could not find a methodology for the survey. Therefore, I can not comment on the validity of the data or its findings.</p>
  <p><a href="https://visual.ly/secret-success">The original visualisation</a> used a radar chart to show the percentage of responses grouped by "poor", "middle class" and "rich people". I didn't like the chart as I found it hard to keep track of the "stratas" as I worked around the reasons. Without understanding how they grouped and named the "stratas", I am not comfortable using the same terminology in my remake.</p>
  <p>I chose a dot plot, with the range of percentages underlaid, and I sorted the rows (reasons) from largest to smallest range. I feel this provides an easier way to compare "stratas" and see which reasons had the most variability.</p>
  <hr>
  <div class="chart-intro">
  
  <H2>Connections to the right people or hard work?</H2>
  <p>People from different backgrounds have different conceptions about is the secret of success.</p>
  <p>Percentage of people, per income bracket (low, medium, high), who said X is a main reason for success.</p>
    </div>

<script>
    
    const data = [
 {
   "SocialStrata": "Rich people",
   "Reason": "good education, high qualification",
   "Rate": 0.28
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "good education, high qualification",
   "Rate": 0.33
 },
 {
   "SocialStrata": "Poor",
   "Reason": "good education, high qualification",
   "Rate": 0.18
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "cunning, cheating",
   "Rate": 0.11
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "cunning, cheating",
   "Rate": 0.21
 },
 {
   "SocialStrata": "Poor",
   "Reason": "cunning, cheating",
   "Rate": 0.32
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "abilities, talents",
   "Rate": 0.13
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "abilities, talents",
   "Rate": 0.08
 },
 {
   "SocialStrata": "Poor",
   "Reason": "abilities, talents",
   "Rate": 0.07
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "connections to the right people",
   "Rate": 0.09
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "connections to the right people",
   "Rate": 0.32
 },
 {
   "SocialStrata": "Poor",
   "Reason": "connections to the right people",
   "Rate": 0.22272
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "fortune, good luck",
   "Rate": 0.13
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "fortune, good luck",
   "Rate": 0.15
 },
 {
   "SocialStrata": "Poor",
   "Reason": "fortune, good luck",
   "Rate": 0.12
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "hard work",
   "Rate": 0.38
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "hard work",
   "Rate": 0.27
 },
 {
   "SocialStrata": "Poor",
   "Reason": "hard work",
   "Rate": 0.16
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "entreprenurial spirit, courage",
   "Rate": 0.27
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "entreprenurial spirit, courage",
   "Rate": 0.16
 },
 {
   "SocialStrata": "Poor",
   "Reason": "entreprenurial spirit, courage",
   "Rate": 0.16
 },
 {
   "SocialStrata": "Rich people",
   "Reason": "presence of initial capital",
   "Rate": 0.15
 },
 {
   "SocialStrata": "Middle class",
   "Reason": "presence of initial capital",
   "Rate": 0.23
 },
 {
   "SocialStrata": "Poor",
   "Reason": "presence of initial capital",
   "Rate": 0.27
 }
];
    
    const margin = {"top": 100, "left": 250, "right": 250, "bottom": 200};
    const width = 800;
    const height = 500;
    const columnPadding = 20;
    
    const columnWidth = width/3;
    const scaleWidth = columnWidth - columnPadding;
    
    const sortOrder = ["connections to the right people","hard work","cunning, cheating","good education, high qualification","presence of initial capital","entreprenurial spirit, courage","abilities, talents","fortune, good luck"];
    
    const SocialStratas = ["Poor","Middle class","Rich people"];
    
    var scale = d3.scaleLinear()
    .range([0,scaleWidth])
    .domain([0,0.5])
    
    var xAxis = d3.axisTop(scale)
    .tickFormat(formatPercent);
  
    const colour = d3.scaleOrdinal()
    .domain(SocialStratas)
    .range(['#66c2a5','#fc8d62','#8da0cb']);

var svg = d3.select("body").append("svg")
      .attr("width", width + margin.left + margin.right)
      .attr("height", height + margin.top + margin.bottom)

var g = svg.append("g")
      .attr("transform", "translate(" + margin.left + "," + margin.top + ")");
    
    var axisG = g.selectAll(".g-axis")
    .data(SocialStratas)
    .enter()
    .append("g")
    .attr("transform", function(d,i) { return "translate(" + (i * columnWidth) + ",0)"; });
    
    
    axisG.append("text")
    .text(function(d){
      if ( d == "Poor" ){ return "Low income"; };
      if ( d == "Middle class" ){ return "Mid income"; };
      if ( d == "Rich people" ){ return "High income"; };
    })
    .attr("x", columnWidth/2)
    .attr("y", -30)
    .attr("text-anchor", "middle")
    .style("fill", function(d){ return colour(d); })
    .style("font-weight", "bold")
    .style("font-size","16px");
    
    
    axisG.call(xAxis);
	       
    var nestedData = d3.nest()
    .key(function(d){ return d.Reason; })
    .entries(data);
    
    var n = nestedData.length;
    var rowHeight = height/n;
    var barHeight = rowHeight * 0.6;
    var barPadding = (rowHeight - barHeight)/2;
    var barAddition = barHeight/2;
    var radius = barHeight * 0.4;
    var circleStroke = 2; //pixels
    
    nestedData.forEach(function(d){
      
      var i =  sortOrder.indexOf(d.key);
      var extentRate = d3.extent(d.values, function(d){ return d.Rate; })
      
      var rowG = g.append("g")
      .attr("transform", "translate(0," + (i * rowHeight) + ")");
      
      rowG.append("text")
      .text(d.key)
      .attr("y", rowHeight/2 + 6)
      .style("text-anchor", "end");
      
      rowG.append("text")
      .text(d.key)
      .attr("x", width)
      .attr("y", rowHeight/2 + 6)
      .style("text-anchor", "start");
      
      var rangeBars = rowG.selectAll("g")
      .data(SocialStratas)
      .enter()
      .append("g")
      .attr("transform", function(d,i) { return "translate(" + (i * columnWidth) + ",0)"; });
      
      rangeBars.append("rect")
      .attr("x", scale(extentRate[0]) - barAddition)
      .attr("y", barPadding)
      .attr("width", scale(extentRate[1]) - scale(extentRate[0]) + (barAddition * 2) )
      .attr("height", barHeight)
      .style("fill", "LightGrey")
      .attr("rx", barAddition )
      
      var rangeRect = rowG.append("rect")
      .attr("x", scale(extentRate[0]) - barAddition)
      .attr("y", barPadding)
      .attr("width", scale(extentRate[1]) - scale(extentRate[0]) + (barAddition * 2) )
      .attr("height", barHeight)
      .style("fill", "LightGrey")
      .attr("rx", barAddition )
      
      var circles = rowG.selectAll(".circles")
      .data(d.values)
      .enter()
			.append("g")
      .attr("transform", function(d){ 
        var x = (SocialStratas.indexOf(d.SocialStrata) * columnWidth) + scale(d.Rate);
        return "translate(" + x + ",0)"
      });
      
      circles.append("circle")
      .attr("cx", 0)
      .attr("cy", rowHeight/2)
      .attr("r", radius)
      .style("stroke", "white")
      .style("stroke-width", circleStroke)
      .style("fill", function(d){ return colour(d.SocialStrata); });
      
      circles.append("text")
      .text(function(d){ return formatPercent(d.Rate) })
      .attr("class", "label")
      .attr("y", rowHeight/2 + 5);
      
      
    })
    
    var legendWidth = 200;
    
    legend = svg.append("g")
    .attr("transform", "translate(" + margin.left + "," + (margin.top + height + 50) + ")" );
    
    legend.append("rect")
      .attr("x", 0)
      .attr("y", barPadding)
      .attr("width", legendWidth)
      .attr("height", barHeight)
      .style("fill", "LightGrey")
      .attr("rx", barAddition );
    
    legend.append("text")
    .text("range")
    .attr("class", "legend-label")
    .attr("x", legendWidth/2)
    .attr("y", rowHeight/2 + 5)
    
    /*
    var legendCircle = legend.append("g")
    .attr("transform", "translate(" + 40 + ",0)");
    
    legendCircle.append("circle")
     .attr("cx", 0)
     .attr("cy", rowHeight/2)
     .attr("r", radius)
     .style("stroke", "white")
     .style("stroke-width", circleStroke)
     .style("fill", "#386cb0");
    
    legendCircle.append("text")
      .text("%")
      .attr("class", "label")
      .attr("y", rowHeight/2 + 5)
    	.style("font-size", "18px");
      */
    
    function formatPercent(n) {
      return Math.round(n * 100);
    };

</script>
</body>

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