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HTML

              
                <div id="content" margin-left="auto" margin-right="auto">
  <h1 align="center">
    Which of the following motivated you to adopt a Veg*n diet? </h1>
  <h2 align="center">Based on responses from Faunalytics' <a href="https://faunalytics.org/a-summary-of-faunalytics-study-of-current-and-former-vegetarians-and-vegans/">Study of Current and Former Vegetarians and Vegans</a>.</h2>
  <svg id="canvas" height="500" width="960"></svg>

</div>

              
            
!

CSS

              
                body {
  margin: 2em;
}

.axis {
  font-size:14px;
  text-color: #FFFFFF;
  font-weight: bold;
  text-align: justify;
  text-transform: uppercase;}

  .tooltip {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  position: absolute;
  width: auto;
  height: auto;
  background: none repeat scroll 0 0 white;
  border: 0 none;
  border-radius: 8px 8px 8px 8px;
  box-shadow: -3px 3px 15px #888888;
  color: black;
  font: 12px sans-serif;
  padding: 5px;
  text-align: center;
}

  
              
            
!

JS

              
                //Define Height, Width, and Margins
//This is useful for when we start adding padding when we draw the g element
//Right margin made wider to account for the Bar Chart's legend

var margin = { top: 20, right: 20, left: 20, bottom: 40 };
var width = 960 - margin.left - margin.right;
var height = 648 - margin.top - margin.bottom;

//Define Canvas SVG
var svg = d3
  .select("#canvas")
  .attr("width", width + margin.left + margin.right)
  .attr("height", height + margin.top + margin.bottom)
  .append("g")
  .attr(
    "transform",
    "translate(" + margin.left + "," + margin.top + "," + margin.right + ")"
  );

var x = d3
  .scaleBand()
  .rangeRound([0, width])
  .paddingInner(0.2)
  .align(0.2);

var y = d3.scaleLinear().rangeRound([height, 0]);

var colors = d3
  .scaleOrdinal()
  .range(["#F4E8C1", "#A0C1B9", "#70A0AF", "#706993"]);

//Define/populate data array
var data = [
  {
    issue: "protection",
    vegetarian: "69.9",
    vegan: "62.3",
    formerVeg: "26.9",
    formerVegan: "27.1"
  },
  {
    issue: "environment",
    vegetarian: "58.4",
    vegan: "60.4",
    formerVeg: "22.9",
    formerVegan: "23.3"
  },
  {
    issue: "cost",
    vegetarian: "17.5",
    vegan: "32.1",
    formerVeg: "16.9",
    formerVegan: "10.9"
  },
  {
    issue: "health",
    vegetarian: "66.3",
    vegan: "79.2",
    formerVeg: "56.9",
    formerVegan: "63.6"
  },
  {
    issue: "religion",
    vegetarian: "19.3",
    vegan: "32.1",
    formerVeg: "9.2",
    formerVegan: "14.0"
  },
  {
    issue: "social",
    vegetarian: "27.1",
    vegan: "35.8",
    formerVeg: "11.1",
    formerVegan: "14.7"
  },
  {
    issue: "trend",
    vegetarian: "3.6",
    vegan: "17.0",
    formerVeg: "7.4",
    formerVegan: "10.1"
  },
  {
    issue: "disgust",
    vegetarian: "60.8",
    vegan: "67.9",
    formerVeg: "26.1",
    formerVegan: "30.2"
  }
];

console.log("Data:", data);
var keys = ["vegetarian", "vegan", "formerVeg", "formerVegan"];
var issues = [
  "protection",
  "environment",
  "cost",
  "health",
  "religion",
  "social",
  "trend",
  "disgust"
];

//x domain is all issues
x.domain(issues);
//y domain is 0-100 because data represents percentages
y.domain([0, 300]);

//Match colors to group keys
colors.domain(keys);

//Stack data by group
var stacks = d3.stack().keys(keys);

//Creates and array of values to generate the "height" of each group's stack per issue
var dataStacked = stacks(data);
console.log(dataStacked);

//Draw objects
svg
  .selectAll("g")
  .data(dataStacked)
  .enter()
  .append("g")
  .attr("class", "group")
  .attr("fill", function(d) {
    return colors(d.key);
  })
  .selectAll("rect")
  //Data is each "bars" line of data in the dataStacked array
  .data(function(d) {
    return d;
  })
  .enter()
  .append("rect")
  .attr("x", function(d) {
    return x(d.data.issue);
  })
  .attr("y", function(d) {
    return y(d[1]);
  })
  .attr("height", function(d) {
    return y(d[0]) - y(d[1]);
  })
  .attr("width", x.bandwidth())
  .on("mouseover", function() {
    tooltip.style("display", null);
  })
  .on("mouseout", function() {
    tooltip.style("display", "none");
  })
  .on("mousemove", function(d) {
    console.log(d);
    var xPosition = d3.mouse(this)[0] - 5;
    var yPosition = d3.mouse(this)[1] - 5;
    tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
    tooltip.select("text").text(d);
  });

svg
  .append("g")
  .attr("class", "axis")
  .attr("transform", "translate (0," + height + ")")
  .call(d3.axisBottom(x));

// Create the legend g's
// Note the data join
// Note the transform translate based on the selection element index
var legend = svg
  .append("g")
  .attr("font-family", "sans-serif")
  .attr("font-size", 10)
  .attr("text-anchor", "end")
  .selectAll("g")
  .data(keys.slice().reverse())
  .enter()
  .append("g")
  .attr("transform", function(d, i) {
    return "translate(0," + i * 20 + ")";
  });

// Create rectangles for each legend g
// Pass rect index to Z color ordinal scale
legend
  .append("rect")
  .attr("x", width - 19)
  .attr("width", 19)
  .attr("height", 19)
  .attr("fill", colors);

// Create text for each legend g
// Use the data that it inherits to create the SVG text
legend
  .append("text")
  .attr("x", width - 24)
  .attr("y", 9.5)
  .attr("dy", "0.32em")
  .text(function(d) {
    return d;
  });

//Tooltips
var tooltip = svg
  .append("g")
  .attr("class", "tooltip")
  .style("display", "none");

tooltip
  .append("rect")
  .attr("width", 60)
  .attr("height", 20)
  .attr("fill", "red")
 .attr("transform", "translate(40,0)")
  .style("opacity", 0.5);

tooltip
  .append("text")
  .attr("x", 130)
  .attr("dy", "1.2em")
  .style("text-anchor", "middle")
  .attr("font-size", "12px")
  .attr("font-weight", "bold");

              
            
!
999px

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