index.html

<script src="https://d3js.org/d3.v4.js"></script>

<h3>Click a stacked bar to get more information...</h3>

<div id="my_dataviz"></div>


<script>

// set the dimensions and margins of the graph
var margin = {top: 30, right: 30, bottom: 110, left: 50},
    width = 460 - margin.left - margin.right,
    height = 540 - margin.top - margin.bottom;

// append the svg object to the body of the page
var svg = d3.select("#my_dataviz")
  .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 + ")");

// append the svg object to the body of the page
var svg2 = d3.select("#my_dataviz")
  .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 + ")");

// Parse the Data
d3.csv("AllMeatData.csv", function(data) {

  // List of subgroups = header of the csv files = soil condition here
  var subgroups = data.columns.slice(1)

  // List of groups = species here = value of the first column called group -> I show them on the X axis
  var groups = d3.map(data, function(d){return(d.ImpactCategory)}).keys()

  // Add X axis
  var x = d3.scaleBand()
      .domain(groups)
      .range([0, width])
      .padding([0.2])
  svg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(x).tickSizeOuter(0))
.selectAll("text")
    .attr("transform", "translate(-10,0)rotate(-45)")
    .style("text-anchor", "end");

  // Add Y axis
  var y = d3.scaleLinear()
    .domain([0, 22])
    .range([ height, 0 ]);
  svg.append("g")
    .call(d3.axisLeft(y));

  // color palette = one color per subgroup
  var color = d3.scaleOrdinal()
    .domain(subgroups)
    .range(['#FE5F55', '#28A828', '#2B65EC'])

  //stack the data? --> stack per subgroup
  var stackedData = d3.stack()
    .keys(subgroups)
    (data)

svg.append("text")
        .attr("x", (width / 2))             
        .attr("y", 0 - (margin.top / 2))
        .attr("text-anchor", "middle")  
        .style("font-size", "16px") 
        .style("text-decoration", "underline")  
        .text("Environmental Impact of Beef");

  // Show the bars
  svg.append("g")
    .selectAll("g")
    // Enter in the stack data = loop key per key = group per group
    .data(stackedData)
    .enter().append("g")
      .attr("fill", function(d) { return color(d.key); })
      .selectAll("rect")
      // enter a second time = loop subgroup per subgroup to add all rectangles
      .data(function(d) { return d; })
      .enter().append("rect")
        .attr("x", function(d) { return x(d.data.ImpactCategory); })
        .attr("y", function(d) { return y(d[1]); })
        .attr("height", function(d) { return y(d[0]) - y(d[1]); })
        .attr("width",x.bandwidth())
      .on("click", function(d) {
          if(d.data.ImpactCategory == "GHG Emissions (kg CO2e)") {
            updateFocusGraph("GHGData.csv", 4, "GHG Emissions (kg CO2e)");
          }
          if(d.data.ImpactCategory == "Energy Use (MJ)") {
            updateFocusGraph("EnergyData.csv", 12, "Energy Use (MJ)");
          }
          if(d.data.ImpactCategory == "Land Use (m2 a-e)") {
            updateFocusGraph("LandData.csv", 4, "Land Use (m2 a-e)");
          }
       }) 
})

//Function to update selected category graph
function updateFocusGraph(csv, scale, title) {
svg2.selectAll("*").remove();

// Parse the Data
d3.csv(csv, function(data) {

// X axis
var x = d3.scaleBand()
  .range([ 0, width ])
  .domain(data.map(function(d) { return d.TypeMeat; }))
  .padding(1);
svg2.append("g")
  .attr("transform", "translate(0," + height + ")")
  .call(d3.axisBottom(x))
  .selectAll("text")
    .attr("transform", "translate(-10,0)rotate(-45)")
    .style("text-anchor", "end");

// Add Y axis
var y = d3.scaleLinear()
  .domain([0, scale])
  .range([ height, 0]);
svg2.append("g")
  .call(d3.axisLeft(y));

svg2.append("text")
        .attr("x", (width / 2))
        .attr("y", 0 - (margin.top / 2))
        .attr("text-anchor", "middle")
        .style("font-size", "16px")
        .style("text-decoration", "underline")
        .text(title);

// Bars
svg2.selectAll("mybar")
  .data(data)
  .enter()
  .append("rect")
    .attr("x", function(d) { return x(d.TypeMeat) - 35; })
    .attr("y", function(d) { return y(d.Value); })
    .attr("width", 70)
    .attr("height", function(d) { return height - y(d.Value); })
    .attr("fill", "#69b3a2")
  .on("click", function(d) {
    var theMeat = d.TypeMeat;
    var theVal = d.Value;
    svg.selectAll("rect")
      .attr("fill", function(d) {
         var f = d3.format(".1f");
         var s = d3.format(".2f");
         var t = d3.format(".3f");
         if(theVal == f(d[1] - d[0]) || theVal == s(d[1] - d[0]) || theVal == t(d[1] - d[0])) {
            return "#000000";
         }
      })
  })

svg2.selectAll("mybar")
    .data(data)
    .enter()
    .append("text")
    .attr("x", function(d) { return x(d.TypeMeat); })
    .attr("y", function(d) { return y(d.Value) - 5; })
    .attr("text-anchor", "middle")
    .text(function(d) {
       console.log("Hello")
       return d.Value;
    });

})

}
</script>