Null Values - Parallel Coordinates by syntagmatic

index.html

<!DOCTYPE html>
<meta charset="utf-8">
<style>

svg {
  font: 10px sans-serif;
}

.background path {
  fill: none;
  stroke: #ccc;
  stroke-opacity: .4;
  shape-rendering: crispEdges;
}

.foreground path {
  fill: none;
  stroke: steelblue;
  stroke-opacity: .7;
  stroke-width: 2;
}

.brush .extent {
  fill-opacity: .3;
  stroke: #fff;
  shape-rendering: crispEdges;
}

.axis line, .axis path {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.axis text {
  text-shadow: 0 1px 0 #fff;
}

</style>
<body>
<script src="//d3js.org/d3.v2.js"></script>
<script>

var m = [30, 10, 10, 10],
    w = 960 - m[1] - m[3],
    h = 500 - m[0] - m[2];

var x = d3.scale.ordinal().rangePoints([0, w], .5),
    y = {};

var line = d3.svg.line().defined(function(d) { return d[1] != null; }),
    axis = d3.svg.axis().orient("left"),
    background,
    foreground;

var svg = d3.select("body").append("svg")
    .attr("width", w + m[1] + m[3])
    .attr("height", h + m[0] + m[2])
  .append("g")
    .attr("transform", "translate(" + m[3] + "," + m[0] + ")");

d3.csv("sparse-data.csv", function(cities) {

  // Extract the list of dimensions and create a scale for each.
  x.domain(dimensions = d3.keys(cities[0]).filter(function(d) {
    return d != "City" && (y[d] = d3.scale.linear()
        .domain(d3.extent(cities, function(p) { return +p[d]; }))
        .range([h, 0]));
  }));

  // Add grey background lines for context.
  background = svg.append("g")
      .attr("class", "background")
    .selectAll("path")
      .data(cities)
    .enter().append("path")
      .attr("d", path);

  // Add blue foreground lines for focus.
  foreground = svg.append("g")
      .attr("class", "foreground")
    .selectAll("path")
      .data(cities)
    .enter().append("path")
      .attr("d", path);

  // Add a group element for each dimension.
  var g = svg.selectAll(".dimension")
      .data(dimensions)
    .enter().append("g")
      .attr("class", "dimension")
      .attr("transform", function(d) { return "translate(" + x(d) + ")"; });

  // Add an axis and title.
  g.append("g")
      .attr("class", "axis")
      .each(function(d) { d3.select(this).call(axis.scale(y[d])); })
    .append("text")
      .attr("text-anchor", "middle")
      .attr("y", -9)
      .text(String);

  // Add and store a brush for each axis.
  g.append("g")
      .attr("class", "brush")
      .each(function(d) { d3.select(this).call(y[d].brush = d3.svg.brush().y(y[d]).on("brush", brush)); })
    .selectAll("rect")
      .attr("x", -8)
      .attr("width", 16);
});

// Returns the path for a given data point.
function path(d) {
  return line(dimensions.map(function(p) {
    // check for undefined values
    if (d[p] == " ") return [x(p), null];

    return [x(p), y[p](d[p])];
  }));
}

// Handles a brush event, toggling the display of foreground lines.
function brush() {
  var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
      extents = actives.map(function(p) { return y[p].brush.extent(); });
  foreground.style("display", function(d) {
    return actives.every(function(p, i) {
      return extents[i][0] <= d[p] && d[p] <= extents[i][1];
    }) ? null : "none";
  });
}

</script>

sparse-data.csv

a,b,c,d,e,f
 ,2,7,3,9,8
2,1,8, ,3,2
 ,3,2, ,4,1
 , ,5, ,2,4