jrmoran · October 5, 2011 07:52
diff --git a/readme.csv b/readme.csv
diff --git a/readme.md b/readme.md
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html>
  <head>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.0.0"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.csv.js?2.0.0"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?2.0.0"></script>
    <style type="text/css">

 body {
  font: 10px sans-serif;
  margin: 0;
 }

 path.line {
  fill: none;
  stroke: #666;
  stroke-width: 1.5px;
 }

 path.area {
  fill: #e7e7e7;
 }

 .axis {
  shape-rendering: crispEdges;
 }

 .x.axis line {
  stroke: #fff;
 }

 .x.axis .minor {
  stroke-opacity: .5;
 }

 .x.axis path {
  display: none;
 }

 .y.axis line, .y.axis path {
  fill: none;
  stroke: #000;
 }

    </style>
  </head>
  <body>
    <script type="text/javascript">

 var m = [80, 80, 80, 80],
    w = 960 - m[1] - m[3],
    h = 500 - m[0] - m[2],
    parse = d3.time.format("%b %Y").parse;

 // Scales and axes. Note the inverted domain for the y-scale: bigger is up!
 var x = d3.time.scale().range([0, w]),
    y = d3.scale.linear().range([h, 0]),
    xAxis = d3.svg.axis().scale(x).tickSize(-h).tickSubdivide(true),
    yAxis = d3.svg.axis().scale(y).ticks(4).orient("right");

 // An area generator, for the light fill.
 var area = d3.svg.area()
    .interpolate("monotone")
    .x(function(d) { return x(d.date); })
    .y0(h)
    .y1(function(d) { return y(d.price); });

 // A line generator, for the dark stroke.
 var line = d3.svg.line()
    .interpolate("monotone")
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.price); });

 d3.csv("readme.csv", function(data) {

  // Filter to one symbol; the S&P 500.
  var values = data.filter(function(d) {
    return d.symbol == "S&P 500";
  });

  // Parse dates and numbers. We assume values are sorted by date.
  values.forEach(function(d) {
    d.date = parse(d.date);
    d.price = +d.price;
  });

  // Compute the minimum and maximum date, and the maximum price.
  x.domain([values[0].date, values[values.length - 1].date]);
  y.domain([0, d3.max(values, function(d) { return d.price; })]).nice();

  // Add an SVG element with the desired dimensions and margin.
  var svg = d3.select("body").append("svg:svg")
      .attr("width", w + m[1] + m[3])
      .attr("height", h + m[0] + m[2])
    .append("svg:g")
      .attr("transform", "translate(" + m[3] + "," + m[0] + ")");

  // Add the clip path.
  svg.append("svg:clipPath")
      .attr("id", "clip")
    .append("svg:rect")
      .attr("width", w)
      .attr("height", h);

  // Add the area path.
  svg.append("svg:path")
      .attr("class", "area")
      .attr("clip-path", "url(#clip)")
      .attr("d", area(values));

  // Add the x-axis.
  svg.append("svg:g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + h + ")")
      .call(xAxis);

  // Add the y-axis.
  svg.append("svg:g")
      .attr("class", "y axis")
      .attr("transform", "translate(" + w + ",0)")
      .call(yAxis);

  // Add the line path.
  svg.append("svg:path")
      .attr("class", "line")
      .attr("clip-path", "url(#clip)")
      .attr("d", line(values));

  // Add a small label for the symbol name.
  svg.append("svg:text")
      .attr("x", w - 6)
      .attr("y", h - 6)
      .attr("text-anchor", "end")
      .text(values[0].symbol);

  // On click, update the x-axis.
  svg.on("click", function() {
    var n = values.length - 1,
        i = Math.floor(Math.random() * n / 2),
        j = i + Math.floor(Math.random() * n / 2) + 1;
    x.domain([values[i].date, values[j].date]);
    var t = svg.transition().duration(750);
    t.select(".x.axis").call(xAxis);
    t.select(".area").attr("d", area(values));
    t.select(".line").attr("d", line(values));
  });
 });

    </script>
  </body>
 </html>
symbol	date	price
S&P 500	Jan 2000	1394.46
S&P 500	Feb 2000	1366.42
S&P 500	Mar 2000	1498.58
S&P 500	Apr 2000	1452.43
S&P 500	May 2000	1420.6
S&P 500	Jun 2000	1454.6
S&P 500	Jul 2000	1430.83
S&P 500	Aug 2000	1517.68
S&P 500	Sep 2000	1436.51
S&P 500	Oct 2000	1429.4
S&P 500	Nov 2000	1314.95
S&P 500	Dec 2000	1320.28
S&P 500	Jan 2001	1366.01
S&P 500	Feb 2001	1239.94
S&P 500	Mar 2001	1160.33
S&P 500	Apr 2001	1249.46
S&P 500	May 2001	1255.82
S&P 500	Jun 2001	1224.38
S&P 500	Jul 2001	1211.23
S&P 500	Aug 2001	1133.58
S&P 500	Sep 2001	1040.94
S&P 500	Oct 2001	1059.78
S&P 500	Nov 2001	1139.45
S&P 500	Dec 2001	1148.08
S&P 500	Jan 2002	1130.2
S&P 500	Feb 2002	1106.73
S&P 500	Mar 2002	1147.39
S&P 500	Apr 2002	1076.92
S&P 500	May 2002	1067.14
S&P 500	Jun 2002	989.82
S&P 500	Jul 2002	911.62
S&P 500	Aug 2002	916.07
S&P 500	Sep 2002	815.28
S&P 500	Oct 2002	885.76
S&P 500	Nov 2002	936.31
S&P 500	Dec 2002	879.82
S&P 500	Jan 2003	855.7
S&P 500	Feb 2003	841.15
S&P 500	Mar 2003	848.18
S&P 500	Apr 2003	916.92
S&P 500	May 2003	963.59
S&P 500	Jun 2003	974.5
S&P 500	Jul 2003	990.31
S&P 500	Aug 2003	1008.01
S&P 500	Sep 2003	995.97
S&P 500	Oct 2003	1050.71
S&P 500	Nov 2003	1058.2
S&P 500	Dec 2003	1111.92
S&P 500	Jan 2004	1131.13
S&P 500	Feb 2004	1144.94
S&P 500	Mar 2004	1126.21
S&P 500	Apr 2004	1107.3
S&P 500	May 2004	1120.68
S&P 500	Jun 2004	1140.84
S&P 500	Jul 2004	1101.72
S&P 500	Aug 2004	1104.24
S&P 500	Sep 2004	1114.58
S&P 500	Oct 2004	1130.2
S&P 500	Nov 2004	1173.82
S&P 500	Dec 2004	1211.92
S&P 500	Jan 2005	1181.27
S&P 500	Feb 2005	1203.6
S&P 500	Mar 2005	1180.59
S&P 500	Apr 2005	1156.85
S&P 500	May 2005	1191.5
S&P 500	Jun 2005	1191.33
S&P 500	Jul 2005	1234.18
S&P 500	Aug 2005	1220.33
S&P 500	Sep 2005	1228.81
S&P 500	Oct 2005	1207.01
S&P 500	Nov 2005	1249.48
S&P 500	Dec 2005	1248.29
S&P 500	Jan 2006	1280.08
S&P 500	Feb 2006	1280.66
S&P 500	Mar 2006	1294.87
S&P 500	Apr 2006	1310.61
S&P 500	May 2006	1270.09
S&P 500	Jun 2006	1270.2
S&P 500	Jul 2006	1276.66
S&P 500	Aug 2006	1303.82
S&P 500	Sep 2006	1335.85
S&P 500	Oct 2006	1377.94
S&P 500	Nov 2006	1400.63
S&P 500	Dec 2006	1418.3
S&P 500	Jan 2007	1438.24
S&P 500	Feb 2007	1406.82
S&P 500	Mar 2007	1420.86
S&P 500	Apr 2007	1482.37
S&P 500	May 2007	1530.62
S&P 500	Jun 2007	1503.35
S&P 500	Jul 2007	1455.27
S&P 500	Aug 2007	1473.99
S&P 500	Sep 2007	1526.75
S&P 500	Oct 2007	1549.38
S&P 500	Nov 2007	1481.14
S&P 500	Dec 2007	1468.36
S&P 500	Jan 2008	1378.55
S&P 500	Feb 2008	1330.63
S&P 500	Mar 2008	1322.7
S&P 500	Apr 2008	1385.59
S&P 500	May 2008	1400.38
S&P 500	Jun 2008	1280
S&P 500	Jul 2008	1267.38
S&P 500	Aug 2008	1282.83
S&P 500	Sep 2008	1166.36
S&P 500	Oct 2008	968.75
S&P 500	Nov 2008	896.24
S&P 500	Dec 2008	903.25
S&P 500	Jan 2009	825.88
S&P 500	Feb 2009	735.09
S&P 500	Mar 2009	797.87
S&P 500	Apr 2009	872.81
S&P 500	May 2009	919.14
S&P 500	Jun 2009	919.32
S&P 500	Jul 2009	987.48
S&P 500	Aug 2009	1020.62
S&P 500	Sep 2009	1057.08
S&P 500	Oct 2009	1036.19
S&P 500	Nov 2009	1095.63
S&P 500	Dec 2009	1115.1
S&P 500	Jan 2010	1073.87
S&P 500	Feb 2010	1104.49
S&P 500	Mar 2010	1140.45
MSFT	Jan 2000	39.81
MSFT	Feb 2000	36.35
MSFT	Mar 2000	43.22
MSFT	Apr 2000	28.37
MSFT	May 2000	25.45
MSFT	Jun 2000	32.54
MSFT	Jul 2000	28.4
MSFT	Aug 2000	28.4
MSFT	Sep 2000	24.53
MSFT	Oct 2000	28.02
MSFT	Nov 2000	23.34
MSFT	Dec 2000	17.65
MSFT	Jan 2001	24.84
MSFT	Feb 2001	24
MSFT	Mar 2001	22.25
MSFT	Apr 2001	27.56
MSFT	May 2001	28.14
MSFT	Jun 2001	29.7
MSFT	Jul 2001	26.93
MSFT	Aug 2001	23.21
MSFT	Sep 2001	20.82
MSFT	Oct 2001	23.65
MSFT	Nov 2001	26.12
MSFT	Dec 2001	26.95
MSFT	Jan 2002	25.92
MSFT	Feb 2002	23.73
MSFT	Mar 2002	24.53
MSFT	Apr 2002	21.26
MSFT	May 2002	20.71
MSFT	Jun 2002	22.25
MSFT	Jul 2002	19.52
MSFT	Aug 2002	19.97
MSFT	Sep 2002	17.79
MSFT	Oct 2002	21.75
MSFT	Nov 2002	23.46
MSFT	Dec 2002	21.03
MSFT	Jan 2003	19.31
MSFT	Feb 2003	19.34
MSFT	Mar 2003	19.76
MSFT	Apr 2003	20.87
MSFT	May 2003	20.09
MSFT	Jun 2003	20.93
MSFT	Jul 2003	21.56
MSFT	Aug 2003	21.65
MSFT	Sep 2003	22.69
MSFT	Oct 2003	21.45
MSFT	Nov 2003	21.1
MSFT	Dec 2003	22.46
MSFT	Jan 2004	22.69
MSFT	Feb 2004	21.77
MSFT	Mar 2004	20.46
MSFT	Apr 2004	21.45
MSFT	May 2004	21.53
MSFT	Jun 2004	23.44
MSFT	Jul 2004	23.38
MSFT	Aug 2004	22.47
MSFT	Sep 2004	22.76
MSFT	Oct 2004	23.02
MSFT	Nov 2004	24.6
MSFT	Dec 2004	24.52
MSFT	Jan 2005	24.11
MSFT	Feb 2005	23.15
MSFT	Mar 2005	22.24
MSFT	Apr 2005	23.28
MSFT	May 2005	23.82
MSFT	Jun 2005	22.93
MSFT	Jul 2005	23.64
MSFT	Aug 2005	25.35
MSFT	Sep 2005	23.83
MSFT	Oct 2005	23.8
MSFT	Nov 2005	25.71
MSFT	Dec 2005	24.29
MSFT	Jan 2006	26.14
MSFT	Feb 2006	25.04
MSFT	Mar 2006	25.36
MSFT	Apr 2006	22.5
MSFT	May 2006	21.19
MSFT	Jun 2006	21.8
MSFT	Jul 2006	22.51
MSFT	Aug 2006	24.13
MSFT	Sep 2006	25.68
MSFT	Oct 2006	26.96
MSFT	Nov 2006	27.66
MSFT	Dec 2006	28.13
MSFT	Jan 2007	29.07
MSFT	Feb 2007	26.63
MSFT	Mar 2007	26.35
MSFT	Apr 2007	28.3
MSFT	May 2007	29.11
MSFT	Jun 2007	27.95
MSFT	Jul 2007	27.5
MSFT	Aug 2007	27.34
MSFT	Sep 2007	28.04
MSFT	Oct 2007	35.03
MSFT	Nov 2007	32.09
MSFT	Dec 2007	34
MSFT	Jan 2008	31.13
MSFT	Feb 2008	26.07
MSFT	Mar 2008	27.21
MSFT	Apr 2008	27.34
MSFT	May 2008	27.25
MSFT	Jun 2008	26.47
MSFT	Jul 2008	24.75
MSFT	Aug 2008	26.36
MSFT	Sep 2008	25.78
MSFT	Oct 2008	21.57
MSFT	Nov 2008	19.66
MSFT	Dec 2008	18.91
MSFT	Jan 2009	16.63
MSFT	Feb 2009	15.81
MSFT	Mar 2009	17.99
MSFT	Apr 2009	19.84
MSFT	May 2009	20.59
MSFT	Jun 2009	23.42
MSFT	Jul 2009	23.18
MSFT	Aug 2009	24.43
MSFT	Sep 2009	25.49
MSFT	Oct 2009	27.48
MSFT	Nov 2009	29.27
MSFT	Dec 2009	30.34
MSFT	Jan 2010	28.05
MSFT	Feb 2010	28.67
MSFT	Mar 2010	28.8
AMZN	Jan 2000	64.56
AMZN	Feb 2000	68.87
AMZN	Mar 2000	67
AMZN	Apr 2000	55.19
AMZN	May 2000	48.31
AMZN	Jun 2000	36.31
AMZN	Jul 2000	30.12
AMZN	Aug 2000	41.5
AMZN	Sep 2000	38.44
AMZN	Oct 2000	36.62
AMZN	Nov 2000	24.69
AMZN	Dec 2000	15.56
AMZN	Jan 2001	17.31
AMZN	Feb 2001	10.19
AMZN	Mar 2001	10.23
AMZN	Apr 2001	15.78
AMZN	May 2001	16.69
AMZN	Jun 2001	14.15
AMZN	Jul 2001	12.49
AMZN	Aug 2001	8.94
AMZN	Sep 2001	5.97
AMZN	Oct 2001	6.98
AMZN	Nov 2001	11.32
AMZN	Dec 2001	10.82
AMZN	Jan 2002	14.19
AMZN	Feb 2002	14.1
AMZN	Mar 2002	14.3
AMZN	Apr 2002	16.69
AMZN	May 2002	18.23
AMZN	Jun 2002	16.25
AMZN	Jul 2002	14.45
AMZN	Aug 2002	14.94
AMZN	Sep 2002	15.93
AMZN	Oct 2002	19.36
AMZN	Nov 2002	23.35
AMZN	Dec 2002	18.89
AMZN	Jan 2003	21.85
AMZN	Feb 2003	22.01
AMZN	Mar 2003	26.03
AMZN	Apr 2003	28.69
AMZN	May 2003	35.89
AMZN	Jun 2003	36.32
AMZN	Jul 2003	41.64
AMZN	Aug 2003	46.32
AMZN	Sep 2003	48.43
AMZN	Oct 2003	54.43
AMZN	Nov 2003	53.97
AMZN	Dec 2003	52.62
AMZN	Jan 2004	50.4
AMZN	Feb 2004	43.01
AMZN	Mar 2004	43.28
AMZN	Apr 2004	43.6
AMZN	May 2004	48.5
AMZN	Jun 2004	54.4
AMZN	Jul 2004	38.92
AMZN	Aug 2004	38.14
AMZN	Sep 2004	40.86
AMZN	Oct 2004	34.13
AMZN	Nov 2004	39.68
AMZN	Dec 2004	44.29
AMZN	Jan 2005	43.22
AMZN	Feb 2005	35.18
AMZN	Mar 2005	34.27
AMZN	Apr 2005	32.36
AMZN	May 2005	35.51
AMZN	Jun 2005	33.09
AMZN	Jul 2005	45.15
AMZN	Aug 2005	42.7
AMZN	Sep 2005	45.3
AMZN	Oct 2005	39.86
AMZN	Nov 2005	48.46
AMZN	Dec 2005	47.15
AMZN	Jan 2006	44.82
AMZN	Feb 2006	37.44
AMZN	Mar 2006	36.53
AMZN	Apr 2006	35.21
AMZN	May 2006	34.61
AMZN	Jun 2006	38.68
AMZN	Jul 2006	26.89
AMZN	Aug 2006	30.83
AMZN	Sep 2006	32.12
AMZN	Oct 2006	38.09
AMZN	Nov 2006	40.34
AMZN	Dec 2006	39.46
AMZN	Jan 2007	37.67
AMZN	Feb 2007	39.14
AMZN	Mar 2007	39.79
AMZN	Apr 2007	61.33
AMZN	May 2007	69.14
AMZN	Jun 2007	68.41
AMZN	Jul 2007	78.54
AMZN	Aug 2007	79.91
AMZN	Sep 2007	93.15
AMZN	Oct 2007	89.15
AMZN	Nov 2007	90.56
AMZN	Dec 2007	92.64
AMZN	Jan 2008	77.7
AMZN	Feb 2008	64.47
AMZN	Mar 2008	71.3
AMZN	Apr 2008	78.63
AMZN	May 2008	81.62
AMZN	Jun 2008	73.33
AMZN	Jul 2008	76.34
AMZN	Aug 2008	80.81
AMZN	Sep 2008	72.76
AMZN	Oct 2008	57.24
AMZN	Nov 2008	42.7
AMZN	Dec 2008	51.28
AMZN	Jan 2009	58.82
AMZN	Feb 2009	64.79
AMZN	Mar 2009	73.44
AMZN	Apr 2009	80.52
AMZN	May 2009	77.99
AMZN	Jun 2009	83.66
AMZN	Jul 2009	85.76
AMZN	Aug 2009	81.19
AMZN	Sep 2009	93.36
AMZN	Oct 2009	118.81
AMZN	Nov 2009	135.91
AMZN	Dec 2009	134.52
AMZN	Jan 2010	125.41
AMZN	Feb 2010	118.4
AMZN	Mar 2010	128.82
IBM	Jan 2000	100.52
IBM	Feb 2000	92.11
IBM	Mar 2000	106.11
IBM	Apr 2000	99.95
IBM	May 2000	96.31
IBM	Jun 2000	98.33
IBM	Jul 2000	100.74
IBM	Aug 2000	118.62
IBM	Sep 2000	101.19
IBM	Oct 2000	88.5
IBM	Nov 2000	84.12
IBM	Dec 2000	76.47
IBM	Jan 2001	100.76
IBM	Feb 2001	89.98
IBM	Mar 2001	86.63
IBM	Apr 2001	103.7
IBM	May 2001	100.82
IBM	Jun 2001	102.35
IBM	Jul 2001	94.87
IBM	Aug 2001	90.25
IBM	Sep 2001	82.82
IBM	Oct 2001	97.58
IBM	Nov 2001	104.5
IBM	Dec 2001	109.36
IBM	Jan 2002	97.54
IBM	Feb 2002	88.82
IBM	Mar 2002	94.15
IBM	Apr 2002	75.82
IBM	May 2002	72.97
IBM	Jun 2002	65.31
IBM	Jul 2002	63.86
IBM	Aug 2002	68.52
IBM	Sep 2002	53.01
IBM	Oct 2002	71.76
IBM	Nov 2002	79.16
IBM	Dec 2002	70.58
IBM	Jan 2003	71.22
IBM	Feb 2003	71.13
IBM	Mar 2003	71.57
IBM	Apr 2003	77.47
IBM	May 2003	80.48
IBM	Jun 2003	75.42
IBM	Jul 2003	74.28
IBM	Aug 2003	75.12
IBM	Sep 2003	80.91
IBM	Oct 2003	81.96
IBM	Nov 2003	83.08
IBM	Dec 2003	85.05
IBM	Jan 2004	91.06
IBM	Feb 2004	88.7
IBM	Mar 2004	84.41
IBM	Apr 2004	81.04
IBM	May 2004	81.59
IBM	Jun 2004	81.19
IBM	Jul 2004	80.19
IBM	Aug 2004	78.17
IBM	Sep 2004	79.13
IBM	Oct 2004	82.84
IBM	Nov 2004	87.15
IBM	Dec 2004	91.16
IBM	Jan 2005	86.39
IBM	Feb 2005	85.78
IBM	Mar 2005	84.66
IBM	Apr 2005	70.77
IBM	May 2005	70.18
IBM	Jun 2005	68.93
IBM	Jul 2005	77.53
IBM	Aug 2005	75.07
IBM	Sep 2005	74.7
IBM	Oct 2005	76.25
IBM	Nov 2005	82.98
IBM	Dec 2005	76.73
IBM	Jan 2006	75.89
IBM	Feb 2006	75.09
IBM	Mar 2006	77.17
IBM	Apr 2006	77.05
IBM	May 2006	75.04
IBM	Jun 2006	72.15
IBM	Jul 2006	72.7
IBM	Aug 2006	76.35
IBM	Sep 2006	77.26
IBM	Oct 2006	87.06
IBM	Nov 2006	86.95
IBM	Dec 2006	91.9
IBM	Jan 2007	93.79
IBM	Feb 2007	88.18
IBM	Mar 2007	89.44
IBM	Apr 2007	96.98
IBM	May 2007	101.54
IBM	Jun 2007	100.25
IBM	Jul 2007	105.4
IBM	Aug 2007	111.54
IBM	Sep 2007	112.6
IBM	Oct 2007	111
IBM	Nov 2007	100.9
IBM	Dec 2007	103.7
IBM	Jan 2008	102.75
IBM	Feb 2008	109.64
IBM	Mar 2008	110.87
IBM	Apr 2008	116.23
IBM	May 2008	125.14
IBM	Jun 2008	114.6
IBM	Jul 2008	123.74
IBM	Aug 2008	118.16
IBM	Sep 2008	113.53
IBM	Oct 2008	90.24
IBM	Nov 2008	79.65
IBM	Dec 2008	82.15
IBM	Jan 2009	89.46
IBM	Feb 2009	90.32
IBM	Mar 2009	95.09
IBM	Apr 2009	101.29
IBM	May 2009	104.85
IBM	Jun 2009	103.01
IBM	Jul 2009	116.34
IBM	Aug 2009	117
IBM	Sep 2009	118.55
IBM	Oct 2009	119.54
IBM	Nov 2009	125.79
IBM	Dec 2009	130.32
IBM	Jan 2010	121.85
IBM	Feb 2010	127.16
IBM	Mar 2010	125.55
GOOG	Aug 2004	102.37
GOOG	Sep 2004	129.6
GOOG	Oct 2004	190.64
GOOG	Nov 2004	181.98
GOOG	Dec 2004	192.79
GOOG	Jan 2005	195.62
GOOG	Feb 2005	187.99
GOOG	Mar 2005	180.51
GOOG	Apr 2005	220
GOOG	May 2005	277.27
GOOG	Jun 2005	294.15
GOOG	Jul 2005	287.76
GOOG	Aug 2005	286
GOOG	Sep 2005	316.46
GOOG	Oct 2005	372.14
GOOG	Nov 2005	404.91
GOOG	Dec 2005	414.86
GOOG	Jan 2006	432.66
GOOG	Feb 2006	362.62
GOOG	Mar 2006	390
GOOG	Apr 2006	417.94
GOOG	May 2006	371.82
GOOG	Jun 2006	419.33
GOOG	Jul 2006	386.6
GOOG	Aug 2006	378.53
GOOG	Sep 2006	401.9
GOOG	Oct 2006	476.39
GOOG	Nov 2006	484.81
GOOG	Dec 2006	460.48
GOOG	Jan 2007	501.5
GOOG	Feb 2007	449.45
GOOG	Mar 2007	458.16
GOOG	Apr 2007	471.38
GOOG	May 2007	497.91
GOOG	Jun 2007	522.7
GOOG	Jul 2007	510
GOOG	Aug 2007	515.25
GOOG	Sep 2007	567.27
GOOG	Oct 2007	707
GOOG	Nov 2007	693
GOOG	Dec 2007	691.48
GOOG	Jan 2008	564.3
GOOG	Feb 2008	471.18
GOOG	Mar 2008	440.47
GOOG	Apr 2008	574.29
GOOG	May 2008	585.8
GOOG	Jun 2008	526.42
GOOG	Jul 2008	473.75
GOOG	Aug 2008	463.29
GOOG	Sep 2008	400.52
GOOG	Oct 2008	359.36
GOOG	Nov 2008	292.96
GOOG	Dec 2008	307.65
GOOG	Jan 2009	338.53
GOOG	Feb 2009	337.99
GOOG	Mar 2009	348.06
GOOG	Apr 2009	395.97
GOOG	May 2009	417.23
GOOG	Jun 2009	421.59
GOOG	Jul 2009	443.05
GOOG	Aug 2009	461.67
GOOG	Sep 2009	495.85
GOOG	Oct 2009	536.12
GOOG	Nov 2009	583
GOOG	Dec 2009	619.98
GOOG	Jan 2010	529.94
GOOG	Feb 2010	526.8
GOOG	Mar 2010	560.19
10 Year T-Note	Jan 2000	6.67
10 Year T-Note	Feb 2000	6.41
10 Year T-Note	Mar 2000	6.02
10 Year T-Note	Apr 2000	6.21
10 Year T-Note	May 2000	6.28
10 Year T-Note	Jun 2000	6.02
10 Year T-Note	Jul 2000	6.03
10 Year T-Note	Aug 2000	5.73
10 Year T-Note	Sep 2000	5.78
10 Year T-Note	Oct 2000	5.76
10 Year T-Note	Nov 2000	5.44
10 Year T-Note	Dec 2000	5.11
10 Year T-Note	Jan 2001	5.18
10 Year T-Note	Feb 2001	4.91
10 Year T-Note	Mar 2001	4.91
10 Year T-Note	Apr 2001	5.34
10 Year T-Note	May 2001	5.41
10 Year T-Note	Jun 2001	5.39
10 Year T-Note	Jul 2001	5.04
10 Year T-Note	Aug 2001	4.82
10 Year T-Note	Sep 2001	4.57
10 Year T-Note	Oct 2001	4.26
10 Year T-Note	Nov 2001	4.74
10 Year T-Note	Dec 2001	5.03
10 Year T-Note	Jan 2002	5.03
10 Year T-Note	Feb 2002	4.86
10 Year T-Note	Mar 2002	5.41
10 Year T-Note	Apr 2002	5.09
10 Year T-Note	May 2002	5.04
10 Year T-Note	Jun 2002	4.82
10 Year T-Note	Jul 2002	4.47
10 Year T-Note	Aug 2002	4.14
10 Year T-Note	Sep 2002	3.61
10 Year T-Note	Oct 2002	3.91
10 Year T-Note	Nov 2002	4.21
10 Year T-Note	Dec 2002	3.82
10 Year T-Note	Jan 2003	3.97
10 Year T-Note	Feb 2003	3.7
10 Year T-Note	Mar 2003	3.82
10 Year T-Note	Apr 2003	3.86
10 Year T-Note	May 2003	3.35
10 Year T-Note	Jun 2003	3.53
10 Year T-Note	Jul 2003	4.47
10 Year T-Note	Aug 2003	4.45
10 Year T-Note	Sep 2003	3.94
10 Year T-Note	Oct 2003	4.3
10 Year T-Note	Nov 2003	4.32
10 Year T-Note	Dec 2003	4.26
10 Year T-Note	Jan 2004	4.14
10 Year T-Note	Feb 2004	3.98
10 Year T-Note	Mar 2004	3.84
10 Year T-Note	Apr 2004	4.5
10 Year T-Note	May 2004	4.66
10 Year T-Note	Jun 2004	4.62
10 Year T-Note	Jul 2004	4.47
10 Year T-Note	Aug 2004	4.13
10 Year T-Note	Sep 2004	4.12
10 Year T-Note	Oct 2004	4.03
10 Year T-Note	Nov 2004	4.36
10 Year T-Note	Dec 2004	4.22
10 Year T-Note	Jan 2005	4.13
10 Year T-Note	Feb 2005	4.36
10 Year T-Note	Mar 2005	4.5
10 Year T-Note	Apr 2005	4.2
10 Year T-Note	May 2005	4.01
10 Year T-Note	Jun 2005	3.94
10 Year T-Note	Jul 2005	4.29
10 Year T-Note	Aug 2005	4.02
10 Year T-Note	Sep 2005	4.33
10 Year T-Note	Oct 2005	4.56
10 Year T-Note	Nov 2005	4.5
10 Year T-Note	Dec 2005	4.39
10 Year T-Note	Jan 2006	4.53
10 Year T-Note	Feb 2006	4.55
10 Year T-Note	Mar 2006	4.85
10 Year T-Note	Apr 2006	5.07
10 Year T-Note	May 2006	5.11
10 Year T-Note	Jun 2006	5.14
10 Year T-Note	Jul 2006	4.99
10 Year T-Note	Aug 2006	4.73
10 Year T-Note	Sep 2006	4.63
10 Year T-Note	Oct 2006	4.61
10 Year T-Note	Nov 2006	4.46
10 Year T-Note	Dec 2006	4.71
10 Year T-Note	Jan 2007	4.83
10 Year T-Note	Feb 2007	4.55
10 Year T-Note	Mar 2007	4.65
10 Year T-Note	Apr 2007	4.63
10 Year T-Note	May 2007	4.89
10 Year T-Note	Jun 2007	5.03
10 Year T-Note	Jul 2007	4.77
10 Year T-Note	Aug 2007	4.54
10 Year T-Note	Sep 2007	4.58
10 Year T-Note	Oct 2007	4.47
10 Year T-Note	Nov 2007	3.97
10 Year T-Note	Dec 2007	4.03
10 Year T-Note	Jan 2008	3.64
10 Year T-Note	Feb 2008	3.53
10 Year T-Note	Mar 2008	3.43
10 Year T-Note	Apr 2008	3.76
10 Year T-Note	May 2008	4.05
10 Year T-Note	Jun 2008	3.98
10 Year T-Note	Jul 2008	3.98
10 Year T-Note	Aug 2008	3.81
10 Year T-Note	Sep 2008	3.83
10 Year T-Note	Oct 2008	3.97
10 Year T-Note	Nov 2008	2.96
10 Year T-Note	Dec 2008	2.24
10 Year T-Note	Jan 2009	2.84
10 Year T-Note	Feb 2009	3.04
10 Year T-Note	Mar 2009	2.68
10 Year T-Note	Apr 2009	3.12
10 Year T-Note	May 2009	3.46
10 Year T-Note	Jun 2009	3.52
10 Year T-Note	Jul 2009	3.5
10 Year T-Note	Aug 2009	3.4
10 Year T-Note	Sep 2009	3.31
10 Year T-Note	Oct 2009	3.39
10 Year T-Note	Nov 2009	3.2
10 Year T-Note	Dec 2009	3.84
10 Year T-Note	Jan 2010	3.61
10 Year T-Note	Feb 2010	3.6
10 Year T-Note	Mar 2010	3.7
AAPL	Jan 2000	25.94
AAPL	Feb 2000	28.66
AAPL	Mar 2000	33.95
AAPL	Apr 2000	31.01
AAPL	May 2000	21
AAPL	Jun 2000	26.19
AAPL	Jul 2000	25.41
AAPL	Aug 2000	30.47
AAPL	Sep 2000	12.88
AAPL	Oct 2000	9.78
AAPL	Nov 2000	8.25
AAPL	Dec 2000	7.44
AAPL	Jan 2001	10.81
AAPL	Feb 2001	9.12
AAPL	Mar 2001	11.03
AAPL	Apr 2001	12.74
AAPL	May 2001	9.98
AAPL	Jun 2001	11.62
AAPL	Jul 2001	9.4
AAPL	Aug 2001	9.27
AAPL	Sep 2001	7.76
AAPL	Oct 2001	8.78
AAPL	Nov 2001	10.65
AAPL	Dec 2001	10.95
AAPL	Jan 2002	12.36
AAPL	Feb 2002	10.85
AAPL	Mar 2002	11.84
AAPL	Apr 2002	12.14
AAPL	May 2002	11.65
AAPL	Jun 2002	8.86
AAPL	Jul 2002	7.63
AAPL	Aug 2002	7.38
AAPL	Sep 2002	7.25
AAPL	Oct 2002	8.03
AAPL	Nov 2002	7.75
AAPL	Dec 2002	7.16
AAPL	Jan 2003	7.18
AAPL	Feb 2003	7.51
AAPL	Mar 2003	7.07
AAPL	Apr 2003	7.11
AAPL	May 2003	8.98
AAPL	Jun 2003	9.53
AAPL	Jul 2003	10.54
AAPL	Aug 2003	11.31
AAPL	Sep 2003	10.36
AAPL	Oct 2003	11.44
AAPL	Nov 2003	10.45
AAPL	Dec 2003	10.69
AAPL	Jan 2004	11.28
AAPL	Feb 2004	11.96
AAPL	Mar 2004	13.52
AAPL	Apr 2004	12.89
AAPL	May 2004	14.03
AAPL	Jun 2004	16.27
AAPL	Jul 2004	16.17
AAPL	Aug 2004	17.25
AAPL	Sep 2004	19.38
AAPL	Oct 2004	26.2
AAPL	Nov 2004	33.53
AAPL	Dec 2004	32.2
AAPL	Jan 2005	38.45
AAPL	Feb 2005	44.86
AAPL	Mar 2005	41.67
AAPL	Apr 2005	36.06
AAPL	May 2005	39.76
AAPL	Jun 2005	36.81
AAPL	Jul 2005	42.65
AAPL	Aug 2005	46.89
AAPL	Sep 2005	53.61
AAPL	Oct 2005	57.59
AAPL	Nov 2005	67.82
AAPL	Dec 2005	71.89
AAPL	Jan 2006	75.51
AAPL	Feb 2006	68.49
AAPL	Mar 2006	62.72
AAPL	Apr 2006	70.39
AAPL	May 2006	59.77
AAPL	Jun 2006	57.27
AAPL	Jul 2006	67.96
AAPL	Aug 2006	67.85
AAPL	Sep 2006	76.98
AAPL	Oct 2006	81.08
AAPL	Nov 2006	91.66
AAPL	Dec 2006	84.84
AAPL	Jan 2007	85.73
AAPL	Feb 2007	84.61
AAPL	Mar 2007	92.91
AAPL	Apr 2007	99.8
AAPL	May 2007	121.19
AAPL	Jun 2007	122.04
AAPL	Jul 2007	131.76
AAPL	Aug 2007	138.48
AAPL	Sep 2007	153.47
AAPL	Oct 2007	189.95
AAPL	Nov 2007	182.22
AAPL	Dec 2007	198.08
AAPL	Jan 2008	135.36
AAPL	Feb 2008	125.02
AAPL	Mar 2008	143.5
AAPL	Apr 2008	173.95
AAPL	May 2008	188.75
AAPL	Jun 2008	167.44
AAPL	Jul 2008	158.95
AAPL	Aug 2008	169.53
AAPL	Sep 2008	113.66
AAPL	Oct 2008	107.59
AAPL	Nov 2008	92.67
AAPL	Dec 2008	85.35
AAPL	Jan 2009	90.13
AAPL	Feb 2009	89.31
AAPL	Mar 2009	105.12
AAPL	Apr 2009	125.83
AAPL	May 2009	135.81
AAPL	Jun 2009	142.43
AAPL	Jul 2009	163.39
AAPL	Aug 2009	168.21
AAPL	Sep 2009	185.35
AAPL	Oct 2009	188.5
AAPL	Nov 2009	199.91
AAPL	Dec 2009	210.73
AAPL	Jan 2010	192.06
AAPL	Feb 2010	204.62
AAPL	Mar 2010	223.02
	<!DOCTYPE html>
	<html>
	<head>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.0.0"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.csv.js?2.0.0"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?2.0.0"></script>
	<style type="text/css">

	body {
	font: 10px sans-serif;
	margin: 0;
	}

	path.line {
	fill: none;
	stroke: #666;
	stroke-width: 1.5px;
	}

	path.area {
	fill: #e7e7e7;
	}

	.axis {
	shape-rendering: crispEdges;
	}

	.x.axis line {
	stroke: #fff;
	}

	.x.axis .minor {
	stroke-opacity: .5;
	}

	.x.axis path {
	display: none;
	}

	.y.axis line, .y.axis path {
	fill: none;
	stroke: #000;
	}

	</style>
	</head>
	<body>
	<script type="text/javascript">

	var m = [80, 80, 80, 80],
	w = 960 - m[1] - m[3],
	h = 500 - m[0] - m[2],
	parse = d3.time.format("%b %Y").parse;

	// Scales and axes. Note the inverted domain for the y-scale: bigger is up!
	var x = d3.time.scale().range([0, w]),
	y = d3.scale.linear().range([h, 0]),
	xAxis = d3.svg.axis().scale(x).tickSize(-h).tickSubdivide(true),
	yAxis = d3.svg.axis().scale(y).ticks(4).orient("right");

	// An area generator, for the light fill.
	var area = d3.svg.area()
	.interpolate("monotone")
	.x(function(d) { return x(d.date); })
	.y0(h)
	.y1(function(d) { return y(d.price); });

	// A line generator, for the dark stroke.
	var line = d3.svg.line()
	.interpolate("monotone")
	.x(function(d) { return x(d.date); })
	.y(function(d) { return y(d.price); });

	d3.csv("readme.csv", function(data) {

	// Filter to one symbol; the S&P 500.
	var values = data.filter(function(d) {
	return d.symbol == "S&P 500";
	});

	// Parse dates and numbers. We assume values are sorted by date.
	values.forEach(function(d) {
	d.date = parse(d.date);
	d.price = +d.price;
	});

	// Compute the minimum and maximum date, and the maximum price.
	x.domain([values[0].date, values[values.length - 1].date]);
	y.domain([0, d3.max(values, function(d) { return d.price; })]).nice();

	// Add an SVG element with the desired dimensions and margin.
	var svg = d3.select("body").append("svg:svg")
	.attr("width", w + m[1] + m[3])
	.attr("height", h + m[0] + m[2])
	.append("svg:g")
	.attr("transform", "translate(" + m[3] + "," + m[0] + ")");

	// Add the clip path.
	svg.append("svg:clipPath")
	.attr("id", "clip")
	.append("svg:rect")
	.attr("width", w)
	.attr("height", h);

	// Add the area path.
	svg.append("svg:path")
	.attr("class", "area")
	.attr("clip-path", "url(#clip)")
	.attr("d", area(values));

	// Add the x-axis.
	svg.append("svg:g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + h + ")")
	.call(xAxis);

	// Add the y-axis.
	svg.append("svg:g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + w + ",0)")
	.call(yAxis);

	// Add the line path.
	svg.append("svg:path")
	.attr("class", "line")
	.attr("clip-path", "url(#clip)")
	.attr("d", line(values));

	// Add a small label for the symbol name.
	svg.append("svg:text")
	.attr("x", w - 6)
	.attr("y", h - 6)
	.attr("text-anchor", "end")
	.text(values[0].symbol);

	// On click, update the x-axis.
	svg.on("click", function() {
	var n = values.length - 1,
	i = Math.floor(Math.random() * n / 2),
	j = i + Math.floor(Math.random() * n / 2) + 1;
	x.domain([values[i].date, values[j].date]);
	var t = svg.transition().duration(750);
	t.select(".x.axis").call(xAxis);
	t.select(".area").attr("d", area(values));
	t.select(".line").attr("d", line(values));
	});
	});

	</script>
	</body>
	</html>