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Here you can Sed posuere consectetur est at lobortis. Donec ullamcorper nulla non metus auctor fringilla. Maecenas sed diam eget risus varius blandit sit amet non magna. Donec id elit non mi porta gravida at eget metus. Praesent commodo cursus magna, vel scelerisque nisl consectetur et.

            
              <div id="container"></div>

<script src="https://d3js.org/d3.v4.min.js"></script>
            
          
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                text {
   font-size: 12px;
  }

  .title {
    font-weight: bold;
  }

  .grid-line {
    stroke: black;
    opacity: 0.2;
  }

  .lollipop-line {
    stroke: black;
    stroke-width: 1px;
  }

  circle {
    stroke-width: 1px;
    stroke: black;
  }

  circle.lollipop-start {
    fill: #D770AD;
  }

  .lollipop-end {
    fill: #4A89DC;
  }

  .lollipop-median {
    fill: white;
  }

  div.tooltip {
    position: absolute;
    text-align: center;
    color: white;
    padding: 8px;
    font: 12px sans-serif;
    border-radius: 6px;
    pointer-events: none;
  }

            
          
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              //filter the data for just the rows (occupations) we want
function filterData(data){
	const selectedFields = ["Driver/sales workers and truck drivers", "Elementary and middle school teachers", "Registered nurses", "Retail salespersons", "Accountants and auditors", "Janitors and building cleaners", "Sales representatives, wholesale and manufacturing", "Construction laborers", "Cashiers", "Customer service representatives"]
	return data.filter((fieldName)=>{
     		return selectedFields.includes(fieldName[0])
   });
 };

//transform the data into an array of objects so we can pass it to the draw function. We'll also sort the data.
function mapData(result){
  const formattedData = [];
  result.forEach((val)=>{
    let mappedData = {}
    mappedData["name"] = val[0]
    mappedData["max"] = val[11]
    mappedData["min"] = val[13]
    formattedData.push(mappedData)
  });
  
  return formattedData.sort(function(a, b) {
    if(parseInt(a["max"]) < parseInt(b["max"])) return 1 * 1;
    if(parseInt(a["max"]) > parseInt(b["max"])) return -1 * 1;
    return 0;
  });
};

//draw the visualization
function drawSVG(data) {

//make margins and svg; append svg to container
  let margin = {top: 90, right: 15, bottom: 50, left: 350},
  width = 960 - margin.left - margin.right,
  height = 500 - margin.top - margin.bottom;

  let svg = d3.select("#container").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 + ")");
  
//construct the scales and bands of the dots
  let y = d3.scaleBand()
    .range([0, height])
    .paddingInner(0.5)
    .paddingOuter(0.7);

  let x = d3.scaleLinear()
    .range([0, width]);

  let lineGenerator = d3.line();

  let axisLinePath = function(d) {
    return lineGenerator([[x(d) + 0.5, 0], [x(d) + 0.5, height]]);
  };

  let lollipopLinePath = function(d) {
    return lineGenerator([[x(d.min), 0], [x(d.max), 0]]);
  };

//set the ranges for the chart
  y.domain(data.map(function(d) { return d.name }));
  x.domain([0, d3.max(data, function(d) { return d.max })]);
  x.nice();

//make the axes
  let yAxis = d3.axisLeft().scale(y)
    .tickSize(0);

  let xAxis = d3.axisTop().scale(x)
    .tickFormat(function(d,i) {
    if (i == 0) {
      return "$0"
    } else {
      return d3.format(".2s")(d);
    }
  });

  let yAxisGroup = svg.append("g")
    .attr("class", "y-axis-group");

  yAxisGroup.append("g")
    .attr("class", "y-axis")
    .attr("transform", "translate(-20, 0)")
    .call(yAxis)
    .select(".domain")
    .attr("opacity", 0);

 let xAxisGroup = svg.append("g")
    .attr("class", "x-axis-group");

  xAxisGroup.append("g")
    .attr("class", "x-axis")
    .call(xAxis);

  let axisLines = svg.append("g")
    .attr("class", "grid-lines");

  axisLines.selectAll("path")
    .data(x.ticks())
    .enter().append("path")
    .attr("class", "grid-line")
    .attr("d", axisLinePath);

//make the lollipops (circles)
  let lollipopsGroup = svg.append("g").attr("class", "lollipops");

  let lollipops = lollipopsGroup.selectAll("g")
    .data(data)
    .enter().append("g")
    .attr("class", "lollipop")
    .attr("transform", function(d) {
    return "translate(0," + (y(d.name) + (y.bandwidth() / 2)) + ")";
  })

  lollipops.append("path")
    .attr("class", "lollipop-line")
    .attr("d", lollipopLinePath);

  let startCircles = lollipops.append("circle")
    .attr("class", "lollipop-start")
    .attr("r", 5)
    .attr("cx", function(d) {
    return x(d.min);
  })
    .on("mouseover", showLabel)
    .on("mousemove", moveLabel)
    .on("mouseout", hideLabel);

  let endCircles = lollipops.append("circle")
    .attr("class", "lollipop-end")
    .attr("r", 5)
    .attr("cx", function(d) {
    return x(d.max);
  })
    .on("mouseover", showLabel)
    .on("mousemove", moveLabel)
    .on("mouseout", hideLabel);

//make the legend
  let legendLabels = [
    {label: "Women", class: "lollipop-start"},
    {label: "Men", class: "lollipop-end"}
   ];

  let legendX = 300,
    legendY = -50,
    spaceBetween = 70,
    titleOffset = -150;

// position legend
  let legend = svg.append("g")
    .attr("transform", "translate(" + [legendX, legendY] + ")");

  legend.append("g")
    .attr("class", "title")
    .append("text")
    .attr("x", titleOffset)
    .text("Median Earnings ($)")

  // add circles to legend
  legend.selectAll("circle")
    .data(legendLabels)
    .enter().append("circle")
    .attr("cx", function(d, i) {
    return spaceBetween * i;
  })
    .attr("cy", -4)
    .attr("r", 5)
    .attr("class", function(d) { return d.class   });

  // add labels to legend
  legend.append("g")
    .selectAll("text")
    .data(legendLabels)
    .enter().append("text")
    .attr("x", function(d, i) {
    return spaceBetween * i + 10;
  })
    .text(function(d) { return d.label });

//make tooltips
  let div = d3.select("body").append("div")
  .attr("class", "tooltip")
  .style("opacity", 0);

  let classToPos = {
    "lollipop-start": "min",
    "lollipop-end": "max"
  }

//define tooltip functions
  function showLabel() {
    let selection = d3.select(this);
    let pos = classToPos[selection.attr("class")];
    let data = d3.select(this.parentNode).datum();

    div.transition()
      .duration(100)
      .style("opacity", 1)
    div.html("$" + (selection.datum()[pos]))
      .style("left", (d3.event.pageX - 30) + "px")
      .style("top", (d3.event.pageY - 40) + "px")
      .style("background-color", "rgba(0, 0, 0, 0.75)")
  }

  function moveLabel() {
    div.style("left", (d3.event.pageX - 30) + "px")
      .style("top", (d3.event.pageY - 40) + "px")
  }

  function hideLabel() {
    div.transition()
      .duration(200)
      .style("opacity", 0);
    }
 };

//here's where we fetch the data and call the functions we define above
fetch('https://public.enigma.com/api/snapshots/3ca9486a-db7c-4216-8e99-0428e3b0b54d?&row_limit=600')
  .then((resp) => resp.json()) 
  .then((data) => {
    return data.table_rows.rows;
   })
  .then(filterData).then(mapData).then(drawSVG)
  .catch((error) => console.log(error));

// This chart is based on Cale Tilford’s Connected Dot Plot, found here: https://bl.ocks.org/tlfrd/e1ddc3d0289215224a69405f5e538f51. 
            
          
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999px
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