D3 Examples - (VI7) Matrix View

(VI7) Matrix View

The Matrix view shows me the direct relationship between adjacent nodes. I feel that this view is very busy looking and is not the easiest to read. I can see the matrix view would be beneficial for large dense networks. The reordering option is very handy and shows how stable the matrix view is. An ordered list in matrix view will outperform the node-link during lookup time. Although the view is quick and efficient I still see viewers struggling to grasp the interpretation quickly.

Code used from Mike Bostock’s example.

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<!DOCTYPE html>
<head>
  <meta charset="utf-8">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
  <style>
    .background {
  fill: #eee;
}
line {
  stroke: #fff;
}
text.active {
  fill: red;
}
    
    body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
    svg { width:100%; height: 100% }
  </style>
</head>
​
<body>
  <p>Order: <select id="order">
  <option value="name">Alphabetically</option>
  <option value="count">by Number of Connections</option>
</select>
  <script>
   var margin = {top: 80, right: 0, bottom: 10, left: 80},
    width = 720,
    height = 720;
var x = d3.scale.ordinal().rangeBands([0, width]),
    z = d3.scale.linear().domain([0, 4]).clamp(true),
    c = d3.scale.category10().domain(d3.range(10));
var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
    .style("margin-left", -margin.left + "px")
  .append("g")
    .attr("transform", "translate(" + 200 + "," + margin.top + ")");
d3.json("data2.json", function(miserables) {
  var matrix = [],
      nodes = miserables.nodes,
      n = nodes.length;
  // Compute index per node.
  nodes.forEach(function(node, i) {
    node.index = i;
    node.count = 0;
    matrix[i] = d3.range(n).map(function(j) { return {x: j, y: i, z: 0}; });
  });
  // Convert links to matrix; count character occurrences.
  miserables.links.forEach(function(link) {
    matrix[link.source][link.target].z += link.value;
    matrix[link.target][link.source].z += link.value;
    matrix[link.source][link.source].z += link.value;
    matrix[link.target][link.target].z += link.value;
    nodes[link.source].count += link.value;
    nodes[link.target].count += link.value;
  });
  // Precompute the orders.
  var orders = {
    name: d3.range(n).sort(function(a, b) { return d3.ascending(nodes[a].name, nodes[b].name); }),
    count: d3.range(n).sort(function(a, b) { return nodes[b].count - nodes[a].count; }),
    group: d3.range(n).sort(function(a, b) { return nodes[b].group - nodes[a].group; })
  };
  // The default sort order.
  x.domain(orders.name);
  svg.append("rect")
      .attr("class", "background")
      .attr("width", width)
      .attr("height", height);
  var row = svg.selectAll(".row")
      .data(matrix)
    .enter().append("g")
      .attr("class", "row")
      .attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
      .each(row);
  row.append("line")
      .attr("x2", width);
  row.append("text")
      .attr("x", -6)
      .attr("y", x.rangeBand() / 2)
      .attr("dy", ".32em")
      .attr("text-anchor", "end")
      .text(function(d, i) { return nodes[i].name; });
  var column = svg.selectAll(".column")
      .data(matrix)
    .enter().append("g")
      .attr("class", "column")
      .attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
  column.append("line")
      .attr("x1", -width);
  column.append("text")
      .attr("x", 6)
      .attr("y", x.rangeBand() / 2)
      .attr("dy", ".32em")
      .attr("text-anchor", "start")
      .text(function(d, i) { return nodes[i].name; });
  function row(row) {
    var cell = d3.select(this).selectAll(".cell")
        .data(row.filter(function(d) { return d.z; }))
      .enter().append("rect")
        .attr("class", "cell")
        .attr("x", function(d) { return x(d.x); })
        .attr("width", x.rangeBand())
        .attr("height", x.rangeBand())
        .style("fill-opacity", function(d) { return z(d.z); })
        .style("fill", function(d) { return nodes[d.x].group == nodes[d.y].group ? c(nodes[d.x].group) : null; })
        .on("mouseover", mouseover)
        .on("mouseout", mouseout);
  }
  function mouseover(p) {
    d3.selectAll(".row text").classed("active", function(d, i) { return i == p.y; });
    d3.selectAll(".column text").classed("active", function(d, i) { return i == p.x; });
  }
  function mouseout() {
    d3.selectAll("text").classed("active", false);
  }
  d3.select("#order").on("change", function() {
    clearTimeout(timeout);
    order(this.value);
  });
  function order(value) {
    x.domain(orders[value]);
    var t = svg.transition().duration(2500);
    t.selectAll(".row")
        .delay(function(d, i) { return x(i) * 4; })
        .attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
      .selectAll(".cell")
        .delay(function(d) { return x(d.x) * 4; })
        .attr("x", function(d) { return x(d.x); });
    t.selectAll(".column")
        .delay(function(d, i) { return x(i) * 4; })
        .attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
  }
  var timeout = setTimeout(function() {
    order("group");
    d3.select("#order").property("selectedIndex", 2).node().focus();
  }, 5000);
});
  </script>
</body>
    