JimShady/README.md

## README.md

      
    Raw
  

              README.md
            
          
    Test

  
## cars.csv

          
            ppid
            indoor
            walk
            cycle
            motorcycle
            driving
            bus
            underground
            train
            total

            
              man
              95.556
              0
              0
              0
              0
              0
              0
              0
              95.556

            
              man
              78.214
              0
              0
              0
              0
              0
              0
              0
              78.214

            
              man
              82.468
              0
              0
              0
              0
              0
              0
              0
              82.468

            
              man
              80.488
              0
              0
              0
              0
              0
              0
              0
              80.488

            
              man
              81.150
              0
              0
              0
              0
              0
              0
              0
              81.150

            
              man
              81.212
              0
              0
              0
              0
              0
              0
              0
              81.212

            
              man
              87.930
              0
              0
              0
              0
              0
              0
              0
              87.930

            
              man
              91.710
              0
              0
              0
              0
              0
              0
              0
              91.710

            
              man
              59.721
              0
              0
              0
              0
              0
              0
              0
              59.721

            
              man
              84.088
              0
              0
              0
              0
              0
              0
              0
              84.088

            
              man
              60.561
              0
              0
              0
              0
              0
              0
              0
              60.561

            
              man
              106.057
              0
              0
              0
              0
              0
              0
              0
              106.057

            
              man
              84.748
              0
              0
              0
              0
              0
              0
              0
              84.748

            
              man
              85.711
              0
              0
              0
              0
              0
              0
              0
              85.711

            
              man
              74.009
              0
              0
              0
              0
              0
              0
              0
              74.009

            
              man
              70.470
              0
              0
              0
              0
              0
              0
              0
              70.470

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

svg {
  font: 10px sans-serif;
}

.background path {
  fill: none;
  stroke: #ddd;
  shape-rendering: crispEdges;
}

.foreground path {
  fill: none;
  stroke: steelblue;
}

.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, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
  cursor: move;
}

</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>

var margin = {top: 30, right: 10, bottom: 10, left: 10},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var x = d3.scale.ordinal().rangePoints([0, width], 1),
    y = {},
    dragging = {};

var line = d3.svg.line(),
    axis = d3.svg.axis().orient("left"),
    background,
    foreground;

var svg = d3.select("body").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 + ")");

d3.csv("cars.csv", function(error, cars) {

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

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

  // Add blue foreground lines for focus.
  foreground = svg.append("g")
      .attr("class", "foreground")
    .selectAll("path")
      .data(cars)
    .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) + ")"; })
      .call(d3.behavior.drag()
        .origin(function(d) { return {x: x(d)}; })
        .on("dragstart", function(d) {
          dragging[d] = x(d);
          background.attr("visibility", "hidden");
        })
        .on("drag", function(d) {
          dragging[d] = Math.min(width, Math.max(0, d3.event.x));
          foreground.attr("d", path);
          dimensions.sort(function(a, b) { return position(a) - position(b); });
          x.domain(dimensions);
          g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
        })
        .on("dragend", function(d) {
          delete dragging[d];
          transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
          transition(foreground).attr("d", path);
          background
              .attr("d", path)
            .transition()
              .delay(500)
              .duration(0)
              .attr("visibility", null);
        }));

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

  // 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("brushstart", brushstart).on("brush", brush));
      })
    .selectAll("rect")
      .attr("x", -8)
      .attr("width", 16);
});

function position(d) {
  var v = dragging[d];
  return v == null ? x(d) : v;
}

function transition(g) {
  return g.transition().duration(500);
}

// Returns the path for a given data point.
function path(d) {
  return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}

function brushstart() {
  d3.event.sourceEvent.stopPropagation();
}

// 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>
ppid	indoor	walk	cycle	motorcycle	driving	bus	underground	train	total
man	95.556	0	0	0	0	0	0	0	95.556
man	78.214	0	0	0	0	0	0	0	78.214
man	82.468	0	0	0	0	0	0	0	82.468
man	80.488	0	0	0	0	0	0	0	80.488
man	81.150	0	0	0	0	0	0	0	81.150
man	81.212	0	0	0	0	0	0	0	81.212
man	87.930	0	0	0	0	0	0	0	87.930
man	91.710	0	0	0	0	0	0	0	91.710
man	59.721	0	0	0	0	0	0	0	59.721
man	84.088	0	0	0	0	0	0	0	84.088
man	60.561	0	0	0	0	0	0	0	60.561
man	106.057	0	0	0	0	0	0	0	106.057
man	84.748	0	0	0	0	0	0	0	84.748
man	85.711	0	0	0	0	0	0	0	85.711
man	74.009	0	0	0	0	0	0	0	74.009
man	70.470	0	0	0	0	0	0	0	70.470
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	svg {
	font: 10px sans-serif;
	}

	.background path {
	fill: none;
	stroke: #ddd;
	shape-rendering: crispEdges;
	}

	.foreground path {
	fill: none;
	stroke: steelblue;
	}

	.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, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
	cursor: move;
	}

	</style>
	<body>
	<script src="http://d3js.org/d3.v3.min.js"></script>
	<script>

	var margin = {top: 30, right: 10, bottom: 10, left: 10},
	width = 960 - margin.left - margin.right,
	height = 500 - margin.top - margin.bottom;

	var x = d3.scale.ordinal().rangePoints([0, width], 1),
	y = {},
	dragging = {};

	var line = d3.svg.line(),
	axis = d3.svg.axis().orient("left"),
	background,
	foreground;

	var svg = d3.select("body").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 + ")");

	d3.csv("cars.csv", function(error, cars) {

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

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

	// Add blue foreground lines for focus.
	foreground = svg.append("g")
	.attr("class", "foreground")
	.selectAll("path")
	.data(cars)
	.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) + ")"; })
	.call(d3.behavior.drag()
	.origin(function(d) { return {x: x(d)}; })
	.on("dragstart", function(d) {
	dragging[d] = x(d);
	background.attr("visibility", "hidden");
	})
	.on("drag", function(d) {
	dragging[d] = Math.min(width, Math.max(0, d3.event.x));
	foreground.attr("d", path);
	dimensions.sort(function(a, b) { return position(a) - position(b); });
	x.domain(dimensions);
	g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
	})
	.on("dragend", function(d) {
	delete dragging[d];
	transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
	transition(foreground).attr("d", path);
	background
	.attr("d", path)
	.transition()
	.delay(500)
	.duration(0)
	.attr("visibility", null);
	}));

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

	// 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("brushstart", brushstart).on("brush", brush));
	})
	.selectAll("rect")
	.attr("x", -8)
	.attr("width", 16);
	});

	function position(d) {
	var v = dragging[d];
	return v == null ? x(d) : v;
	}

	function transition(g) {
	return g.transition().duration(500);
	}

	// Returns the path for a given data point.
	function path(d) {
	return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
	}

	function brushstart() {
	d3.event.sourceEvent.stopPropagation();
	}

	// 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>