[dygraphs.git] / docs / index.html

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    <title>dygraphs JavaScript Visualization Library</title>
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<ul>
<li><b>Documentation</b>
  <ul>
  <li><a href="#demo">Demo</a>
  <li><a href="#usage">Usage</a>
  <li><a href="#ie">IE Compatibility</a>
  <li><a href="#baseball">Baseball chart</a>
  <li><a href="#stock">Stock chart</a>
  <li><a href="#options">Options Reference</a>
  <li><a href="#policy">Data Policy</a>
  </ul>

<li><b>Project</b>
  <ul>
  <li><a href="http://github.com/danvk/dygraphs">Source</a>
  <li><a href="http://code.google.com/p/dygraphs/issues/">Issues</a>
  <li><a href="http://code.google.com/p/dygraphs/issues/entry">Report Bug</a>
  <li><a href="mailto:danvdk [at] gmail">Contact</a>
  </ul>


<li><b>Gallery</b>
  <ul>
  <li><a href="tests/demo.html">Basic Demo</a>
  <li><a href="tests/gviz.html">GViz Demo</a>
  <li><a href="tests/plotter.html">Equation Plotter</a>
  <li><a href="tests/perf.html">Performance Test</a>
  <li><a href="tests/perf.html">Fractions</a>

  <li><a href="tests/label-div.html">Labels in a DIV</a>
  <li><a href="tests/numeric-axis.html">Numeric Axis</a>
  <li><a href="tests/draw-points.html">Dotted Points</a>

  <li><a href="tests/native-format.html">Native Format</a>
  <li><a href="tests/grid_dot.html">Crazy Styles</a>
  <li><a href="tests/spacing.html">Tick spacing</a>
  <li><a href="tests/callback.html">Callbacks</a>
  <li><a href="tests/crosshair.html">Crosshairs</a>
  <li><a href="tests/hourly.html">Hourly/Minutely data</a>

  <li><a href="tests/isolated-points.html">Isolated Points</a>
  <li><a href="tests/missing-data.html">Missing Data</a>

  <li><a href="tests/border.html">Bordered chart</a>
  <li><a href="tests/custom-bars.html">Custom Bars</a>
  <li><a href="tests/customLabel.html">Custom Label Styles</a>
  <li><a href="tests/dygraph.html">Minimal Example</a>
  <li><a href="tests/negative.html">Negative Numbers</a>
  <li><a href="tests/noise.html">Noisy Data</a>
  <li><a href="tests/two-series.html">Multiple Series</a>
  </ul>
</ul>
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<div id="content">
<p><span style="font-size:28pt;">dygraphs JavaScript Visualization Library</span><br/>
<a href="http://github.com/danvk/dygraphs">http://github.com/danvk/dygraphs</a><br/>
See <a href="tests/">gallery</a> and <a href="http://code.google.com/p/dygraphs/issues/">open issues</a></p>

<p>The dygraphs JavaScript library produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them.</p>

<a name="demo">
<p>A demo is worth a thousand words:</p>

<p><font size=-1>(Mouse over to highlight individual values. Click and drag to zoom. Double-click to zoom back out. Change the number and hit enter to adjust the averaging period.)</font></p>
<div id="title" style="width:800px; text-align:center; font-weight: bold; font-size: 125%;">Temperatures in New York vs. San Francisco</div>
<div id="demodiv" style="width:800px; height:320px;"></div>
<script type="text/javascript">
  g = new Dygraph(
          document.getElementById("demodiv"),
          "ny-vs-sf.txt",
          {
            rollPeriod: 14,
            showRoller: true,
            customBars: true,
            yAxisLabelWidth: 30
          }
      );
</script>

<p>Some things to notice:</p>
<ul>
<li>There's less seasonal temperature variation in SF than in NY.
<li>The difference is about 15&deg; F for SF vs. 50&deg; F for NY.
<li>The daily data (set rolling period to 1) is quite noisy and hides this conclusion.
<li>Using a 14-day moving average makes it clearer. A 100-day rolling period averages out nearly all the specifics from the data.
<li>There's a gap in the data for SF, when the weather station was down (zoom into October 2007 to see it).
<li>The bands around each point indicate average highs and lows.
<li>There is a <i>lot</i> of data in this chart: low, average and high for each city on each day of a three year period &asymp; 6000 data points in all.
</ul>

<p>dygraphs allows the user to explore the data and discover these facts.</p>

<p>For more demos, browse the dygraph <a href="tests/">tests</a> directory.</p>

<h3>Features</h3>
<p>Some of the features of dygraphs:</p>
<ul>
  <li>Plots time series without using an external server or Flash</li>
  <li>Works in Internet Explorer (using excanvas)</li>
  <li>Lightweight (45kb) and responsive</li>
  <li>Displays values on mouseover (this makes it easily discoverable)</li>
  <li>Supports error bands around data series</li>
  <li>Interactive zoom</li>
  <li>Adjustable averaging period</li>
  <li>Can intelligently chart fractions</li>
  <li>Customizable click-through actions</li>
  <li>Compatible with the Google Visualization API</li>
  <li>Intelligent defaults make it easy to use</li>
</ul>

<a name="usage"><h2>Usage</h2>

<p>To use dygraphs, include the <code>dygraph-combined.js</code> JavaScript file and instantiate a <code>Dygraph</code> object.</p>

<p>Here's a basic example to get things started:</p>

<table>
  <tr><th>HTML</th>
      <td rowspan=2><img src=arrow.gif /></td>
      <th>Output</th></tr>
<tr>
<td valign=top><pre>
&lt;html&gt;
&lt;head&gt;
&lt;script type="text/javascript"
  src="dygraph-combined.js"&gt;&lt;/script&gt;
&lt;/head&gt;
&lt;body&gt;
&lt;div id="graphdiv"&gt;&lt;/div&gt;
&lt;script type="text/javascript"&gt;
  g = new Dygraph(
        // containing div
        document.getElementById("graphdiv"),
        // CSV or path to a CSV file.
        "Date,Temperature\n" +
        "2008-05-07,75\n" +
        "2008-05-08,70\n" +
        "2008-05-09,80\n"
      );
&lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;
</pre>
</td><td valign=top>
  <div id="graphdiv"></div>
</td></tr></table>

<script type="text/javascript">
  g1 = new Dygraph(
       document.getElementById("graphdiv"),  // containing div
       "Date,Temperature\n" +                // CSV or path to a CSV file.
       "2008-05-07,75\n" +
       "2008-05-08,70\n" +
       "2008-05-09,80\n"
     );
</script>

<p>In order to keep this example self-contained, the second parameter is raw CSV data. The dygraphs library parses this data (including column headers), resizes the its container to a reasonable default, calculates appropriate axis ranges and tick marks and draws the graph.</p>

<p>In most applications, it makes more sense to include a CSV file instead. If the second parameter to the constructor doesn't contain a newline, it will be interpreted as the path to a CSV file. The Dygraph will perform an XMLHttpRequest to retrieve this file and display the data when it becomes available. Make sure your CSV file is readable and serving from a place that understands XMLHttpRequest's! In particular, you cannot specify a CSV file using <code>"file:///"</code>. Here's an example: (data from <a href="http://www.wunderground.com/history/airport/KNUQ/2007/1/1/CustomHistory.html?dayend=31&monthend=12&yearend=2007&req_city=NA&req_state=NA&req_statename=NA">Weather Underground</a>)</p>

<table>
  <tr><th>HTML</th>
      <td rowspan=2><img src=arrow.gif /></td>
      <th>Output</th></tr>
<tr>
<td valign=top><pre>
&lt;html&gt;
&lt;head&gt;
&lt;script type="text/javascript"
  src="dygraph-combined.js"&gt;&lt;/script&gt;
&lt;/head&gt;
&lt;body&gt;
&lt;div id="graphdiv"
  style="width:500px; height:300px;"&gt;&lt;/div&gt;
&lt;script type="text/javascript"&gt;
  new Dygraph(
    document.getElementById("graphdiv"),
    "temperatures.csv",  // path to CSV file
    {}                   // options
  );
&lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;
</pre>
</td><td valign=top>
  <div id="graphdiv2" style="width:500px; height:300px;"></div>
</td></tr></table>

<script type="text/javascript">
  g2 = new Dygraph(
        document.getElementById("graphdiv2"),
        "temperatures.csv", {}
      );
</script>

<p>Click <a href="temperatures.csv">here</a> to view the <code>temperatures.csv</code> file. There are a few things to note here:</p>

<ul>
  <li>The Dygraph sent off an XHR to get the temperatures.csv file.</li>
  <li>The labels were taken from the first line of <code>temperatures.csv</code>, which is <code>Date,High,Low</code>.</li>
  <li>The Dygraph automatically chose two different, easily-distinguishable colors for the two data series.</li>
  <li>The labels on the x-axis have switched from days to months. If you zoom in, they'll switch to weeks and then days.</li>
  <li>Some heuristics are used to determine a good vertical range for the data. The idea is to make all the data visible and have human-friendly values on the axis (i.e. 200 instead of 193.4). Generally this works well.</li>
  <li>The data is very spiky. A moving average would be easier to interpret.</li>
</ul>

<p>This problem can be fixed by specifying the appropriate options in the "additional options" parameter to the Dygraph constructor. To set the number of days for a moving average, use the <code>rollPeriod</code> option. Here's how it's done:</p>

<table>
  <tr><th>HTML</th>
      <td rowspan=2><img src=arrow.gif /></td>
      <th>Output</th></tr>
<tr>
<td valign=top><pre>
&lt;html&gt;
&lt;head&gt;
&lt;script type="text/javascript"
  src="dygraph-combined.js"&gt;&lt;/script&gt;
&lt;/head&gt;
&lt;body&gt;
&lt;div id="graphdiv"
  style="width:500px; height:300px;"&gt;&lt;/div&gt;
&lt;script type="text/javascript"&gt;
  g = new Dygraph(
        document.getElementById("graphdiv"),
        "temperatures.csv",
        { rollPeriod: 7,
          showRoller: true,
        }
      );
&lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;
</pre>
</td><td valign=top>
  <div id="graphdiv3" style="width:500px; height:300px;"></div>
</td></tr></table>

<script type="text/javascript">
  g3 = new Dygraph(
        document.getElementById("graphdiv3"),
        "temperatures.csv",
        { rollPeriod: 7,
          showRoller: true });
</script>

<p>A rolling average can be set using the text box in the lower left-hand corner of the graph (the showRoller attribute is what makes this appear). Also note that we've explicitly set the size of the chart div.</p>

<h2>Error Bars</h2>
<p>Another significant feature of the dygraphs library is the ability to display error bars around data series. One standard deviation must be specified for each data point. A +/-<i>n</i> sigma band will be drawn around the data series at that point. If a moving average is being displayed, dygraphs will compute the standard deviation of the average at each point. (i.e. <i>&sigma;</i> = sqrt((<i>&sigma;_1</i>^2 + <i>&sigma;_2</i>^2 + ... + <i>&sigma;_n</i>^2)/<i>n</i>))</p>

<p>Here's a demonstration. There are two data series. One is <code>N(100,10)</code> with a standard deviation of 10 specified at each point. The other is <code>N(80,20)</code> with a standard deviation of 20 specified at each point. The CSV file was generated using Octave and can be viewed <a href="twonormals.csv">here</a>.</p>

<table>
  <tr><th>HTML</th>
      <td rowspan=2><img src=arrow.gif /></td>
      <th>Output</th></tr>
<tr>
<td valign=top><pre>
&lt;html&gt;
&lt;head&gt;
&lt;script type="text/javascript"
  src="combined.js"&gt;&lt;/script&gt;
&lt;/head&gt;
&lt;body&gt;
&lt;div id="graphdiv" 
 style="width:600px; height:300px;"
 &gt;&lt;/div&gt;
&lt;script type="text/javascript"&gt;
$ = document.getElementById;
g = new Dygraph(
  $("graphdiv"),
  "twonormals.csv",
  { rollPeriod: 7,
    showRoller: true,
    errorBars: true,
    valueRange: [50,125]
  }
);
&lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;
</pre>
</td><td valign=top>
  <div id="graphdiv4" style="width:600px; height:300px;"></div>
</td></tr></table>

<script type="text/javascript">
$ = document.getElementById;
new Dygraph(
  document.getElementById("graphdiv4"),
  "twonormals.csv",
  { rollPeriod: 14,
    showRoller: true,
    errorBars: true,
    valueRange: [50, 125]
  }
);
</script>

<p>Things to note here:</p>
<ul>
  <li>The <b>errorBars</b> option affects both the interpretation of the CSV file and the display of the graph. When <b>errorBars</b> is set to true, each line is interpreted as <i>YYYYMMDD</i>,<i>A</i>,<i>sigma_A</i>,<i>B</i>,<i>sigma_B</i>,...</li>
  <li>The first line of the CSV file doesn't mention the error columns. In this case, it's just "Date,Series1,Series2".</li>
  <li>The averaging visibly affects the error bars. This is most clear if you crank up the rolling period to something like 100 days. For the earliest dates, there won't be 100 data points to average so the signal will be noisier. The error bars get smaller like sqrt(N) going forward in time until there's a full 100 points to average.</li>
  <li>The error bars are partially transparent. This can be seen when they overlap one another.</li>
</ul>

<a name="ie"><h2>Internet Explorer Compatibility</h2>

<p>The dygraphs library relies heavily on HTML's &lt;canvas&gt; tag, which
Microsoft Internet Explorer does not support. Fortunately, some clever engineers
created the <a href="http://code.google.com/p/explorercanvas/">excanvas</a>
library, which imlements the &lt;canvas&gt; tag in IE using VML.</p>

<p>You can add IE support to any page using dygraphs by including the following
in your page:</p>

<pre>
&lt;head&gt;
&lt;!--[if IE]&gt;&lt;script src="excanvas.js"&gt;&lt;/script&gt;&lt;![endif]--&gt;
&lt;/head&gt;
</pre>

<p>This works quite well in practice. Charts are responsive, even under VML
emulation.</p>

<p>One common gotcha to look out for: make sure you don't have any trailing
commas in parameter lists, e.g.</p>

<pre>new Dygraph(el, data, {
  showRoller:true,  // &lt;-- note trailing comma
})</pre>

<p>Most browsers will ignore the trailing comma, but it will break under IE.</p>

<a name="baseball"><h2>Charting Fractions</h2>
<p>Situations often arise where you want to plot fractions, e.g. the fraction of respondents in a poll who said they'd vote for candidate X or the number of hits divided by at bats (baseball's batting average). Fractions require special treatment for two main reasons:</p>

<ul>
<li>The average of <code>a1/b1</code> and <code>a2/b2</code> is
<code>(a1+a2)/(b1+b2)</code>, not <code>(a1/b1 + a2/b2)/2</code>.
<li>The normal approximation is not always applicable and more sophisticated
confidence intervals (e.g. the <a
href="http://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval">Wilson
confidence interval</a>) must be employed to avoid ratios that exceed 100% or
go below 0%.
</ul>

<p>Fortunately, dygraphs handles both of these for you! Here's a chart and the command that generated it:</p>

<div style="width:750px; text-align:center; font-weight: bold; font-size: 125%;">Batting Average for Ichiro Suzuki vs. Mariners (2004)</div>
<div id="baseballdiv" style="width:750px; height:300px;"></div>
<script type="text/javascript">
new Dygraph(document.getElementById("baseballdiv"),
            "suzuki-mariners.txt", {
              fractions: true,
              errorBars: true,
              showRoller: true,
              rollPeriod: 15
            });
</script>

<p>Command:</p>
<pre>
new Dygraph(
  document.getElementById("baseballdiv"), "suzuki-mariners.txt",
  {
    fractions: true, errorBars: true,
    showRoller: true, rollPeriod: 15
  });
</pre>

<p>The <code>fractions</code> option indicates that the values in each column should be parsed as fractions (e.g. "1/2" instead of "0.5"). The <code>errorBars</code> option indicates that we'd like to see a confidence interval around each data point. By default, when <code>fractions</code> is set, you get a Wilson confidence interval. If you look carefully at the chart, you can see that the error bars are asymmetric.</p>

<p>A couple things to notice about this chart:</p>
<ul>
<li>The error bars for Ichiro's batting average are larger than for the Mariners', since he has far fewer at bats than his team.
<li>dygraphs makes it easy to see "batting average over the last 30 games". This is ordinarily quite difficult to compute. It makes it clear where the "hot" and "cold" part of Suzuki's season were.
<li>If you set the averaging period to something large, like 200, you'll see the team's and player's batting average through that game. The final number is the overall batting average for the season.
<li>Where the error bars do not overlap, we can say with 95% confidence that the series differ. There is a better than 95% chance that Ichiro was a better hitter than his team as a whole in 2004, the year he won the batting title.
</ul>

<a name="stock"><h2>One last demo</h2>

<p>This chart shows monthly closes of the Dow Jones Industrial Average, both in nominal and real (i.e. adjusted for inflation) dollars. The shaded areas show its monthly high and low. CPI values with a base from 1982-84 are used to adjust for inflation.</p>

<div id=dow_chart style="width:900px; height:350px;"></div>
<script type="text/javascript">
  // From http://www.econstats.com/eqty/eq_d_mi_3.csv
  dow = new Dygraph(
    document.getElementById('dow_chart'),
    "dow.txt",
    {
      showRoller: true,
      customBars: true,
      labelsKMB: true });
</script>
<!--

Here is a script to regenerate the Dow Jones plot:

# Get unadjusted DJIA data in a nice format:
curl -O http://www.econstats.com/eqty/eq_d_mi_3.csv
sed '1,17d' eq_d_mi_3.csv | cut -d, -f1,6 | perl -pe 's/(\d{4}-\d\d)-\d\d/$1/g' | perl -pe 's/, */\t/' | grep -v 'na' | perl -ne 'chomp; ($m,$v) = split/\t/; $close{$m} = $v; if ($low{$m} == 0 || $v < $low{$m}) { $low{$m}=$v } if ($v > $high{$m}) { $high{$m} = $v } END { for $x(sort keys %close) { print "$x\t$low{$x}\t$close{$x}\t$high{$x}\n" } } ' > monthly-djia.tsv

# Fetch and format the CPI data:
curl 'http://data.bls.gov/PDQ/servlet/SurveyOutputServlet?series_id=CUUR0000SA0&years_option=all_years&periods_option=all_periods&output_type=column&output_format=text&delimiter=comma' > cpi-u.txt
sed '1,/Series Id,Year,/d' cpi-u.txt | sed '/^$/,$d' | cut -d, -f2,3,4 | perl -ne 'print if /,M(0[0-9]|1[012]),/' | perl -pe 's/(\d{4}),M(\d{2}),/$1-$2\t/g' > cpi-u.tsv

# Merge:
join -t'       ' cpi-u.tsv monthly-djia.tsv > annotated-djia.tsv
perl -ne 'BEGIN{print "Month,Nominal,Real\n"} chomp; ($m,$cpi,$low,$close,$high) = split /\t/; $cpi /= 100.0; print "$m-15,$low;$close;$high,",($low/$cpi),";",($close/$cpi),";",($high/$cpi),"\n"' annotated-djia.tsv > dow.txt

-->


<a name="options">
<h2>Other Options</h2>
<p>These are the options that can be passed in through the optional third parameter of the Dygraph constructor. To see demonstrations of many of these options, browse the <a href="tests/">dygraphs tests</a> directory.</p>

<table class=thinborder width=900>
  <tr><th>Name</th><th>Sample Value</th><th>Description</th></tr>
  <tr>
    <td><b>includeZero</b></td>
    <td><code>true, false</code></td>
    <td>Usually, dygraphs will use the range of the data plus some padding to
    set the range of the y-axis. If this option is set, the y-axis will always
    include zero, typically as the lowest value. This can be used to avoid
    exaggerating the variance in the data.</td>
  </tr>
  
  <tr>
    <td><b>rollPeriod</b></td>
    <td><code>7</code></td>
    <td>Number of days over which to average data. Discussed extensively above.</td>
  </tr>
  
  <tr>
    <td><b>showRoller</b></td>
    <td><code>true</code></td>
    <td>Should the rolling average period text box be shown? Default is false.</td>
  </tr>
  
  <tr>
    <td><b>colors</b></td>
    <td><code>['red',&nbsp;'#00FF00']</code></td>
    <td>List of colors for the data series. These can be of the form "#AABBCC"
      or "rgb(255,100,200)" or "yellow", etc. If not specified, equally-spaced
      points around a color wheel are used.</td>
  </tr>
  
  <tr>
    <td><b>colorSaturation</b></td>
    <td><code>1.0</code></td>
    <td>If <b>colors</b> is not specified, saturation of the
      automatically-generated data series colors. (0.0-1.0, default:
      1.0)</td>
  </tr>
  
  <tr>
    <td><b>colorValue</b></td>
    <td><code>0.5</code></td>
    <td>If colors is not specified, value of the data series colors, as in
      hue/saturation/value. (0.0-1.0, default 0.5)</td>
  </tr>
  
  <tr>
    <td><b>clickCallback</b></td>
    <td><code>function(e,date){ alert(date); }</code></td>
    <td>A function to call when a data point is clicked. The function should take
      two arguments, the event object for the click and the date that was
      clicked. (default null)</td>
  </tr>

  <tr>
    <td><b>zoomCallback</b></td>
    <td><code>function(minDate,maxDate) {}</code></td>
    <td>A function to call when the zoom window is changed (either by zooming
    in or out). minDate and maxDate are millis since epoch.</td>
  </tr>
  
  <tr>
    <td><b>strokeWidth</b></td>
    <td><code>2.0</code></td>
    <td>Width of the data lines. This can be used to increase the contrast or
      some graphs. (default 1.0)</td>
  </tr>
  
  <tr>
    <td><b>dateWindow</b></td>
    <td><code>[Date.parse('2006-01-01'),<br/>
        (new&nbsp;Date()).valueOf()]</code></td>
    <td>Initially zoom in on a section of the graph. Is of the form [earliest,
      latest], where earliest/latest are millis since epoch.  By default, the
      full range of the input is shown.</td>
  </tr>

  <tr>
    <td><b>valueRange</b></td>
    <td><code>[10, 110]</code></td>
    <td>Explicitly set the vertical range of the graph to [low, high]. By
      default, some clever heuristics are used (see above).</td>
  </tr>
  
  <tr>
    <td><b>labelsSeparateLines</b></td>
    <td><code>true</code></td>
    <td>Put &lt;br/&gt; between lines in the label string. Often used in
      conjunction with <b>labelsDiv</b>. (default false)</td>
  </tr>
  
  <tr>
    <td><b>labelsDiv</b></td>
    <td><code>document.getElementById('foo')</code></td>
    <td>Show data labels in an external div, rather than on the graph. (default
      null)</td>
  </tr>
  
  <tr>
    <td><b>labelsKMB</b></td>
    <td><code>true</code></td>
    <td>Show K/M/B for thousands/millions/billions on y-axis (default
      false).</td>
  </tr>

  <tr>
    <td><b>labelsDivWidth</b></td>
    <td>250</td>
    <td>Width (in pixels) of the div which shows information on the
    currently-highlighted points.</td>
  </tr>

  <tr>
    <td><b>labelsDivStyles</b></td>
    <td>{}</td>
    <td>Additional styles to apply to the currently-highlighted points div. For
    example, { 'font-weigth': 'bold' } will make the labels bold.</td>
  </tr>

  <tr>
    <td><b>highlightCircleSize</b></td>
    <td><code>3</code></td>
    <td>Size (in pixels) of the dot drawn over highlighted points (default 3).</td>
  </tr>

  <tr>
    <td><b>drawPoints</b></td>
    <td><code>false</code></td>
    <td>Draw a small dot at each point, in addition to a line going through
    the point. This makes the individual data points easier to see, but can
    increase visual clutter in the chart. Default: false</td>
  </tr>

  <tr>
    <td><b>pointSize</b></td>
    <td><code>1.0</code></td>
    <td>The size of the dot to draw on each point in pixels (see
    drawPoints). A dot is always drawn when a point is "isolated", i.e.
    there is a missing point on either side of it. This also controls the
    size of those dots.</td>
  </tr>

  <tr>
    <td><b>pixelsPerXLabel</b>, <b>pixelsPerYLabel</b></td>
    <td>50</td>
    <td>Number of pixels to require between each x- and y-label. Larger values
    will yield a sparser axis with fewer ticks. Defaults: 60 (x-axis), 30
    (y-axis).</td>
  </tr>

  <tr>
    <td><b>xAxisLabelWidth</b>, <b>yAxisLabelWidth</b></td>
    <td>50</td>
    <td>Width (in pixels) of the x- and y-axis labels.</td>
  </tr>

  <tr>
    <td><b>axisLabelFontSize</b></td>
    <td>14</td>
    <td>Size of the font (in pixels) to use in the axis labels, both x- and
    y-axis.</td>
  </tr>

  <tr>
    <td><b>rightGap</b></td>
    <td>5</td>
    <td>Number of pixels to leave blank at the right edge of the Dygraph. This
    makes it easier to highlight the right-most data point.</td>
  </tr>
  
  <tr>
    <td><b>errorBars</b></td>
    <td><code>false</code></td>
    <td>Does the data contain standard deviations? Setting this to true alters
      the input format (see above). (default false)</td>
  </tr>

  <tr>
    <td><b>sigma</b></td>
    <td>2</td>
    <td>When errorBars is set, shade this many standard deviations above/below
    each point.</td>
  </tr>

  <tr>
    <td><b>fractions</b></td>
    <td>false</td>
    <td>When set, attempt to parse each cell in the CSV file as "a/b", where a
    and b are integers. The ratio will be plotted. This allows computation of
    Wilson confidence intervals (see below).</td>
  </tr>

  <tr>
    <td><b>wilsonInterval</b></td>
    <td>true</td>
    <td>Use in conjunction with the "fractions" option. Instead of plotting +/-
    N standard deviations, dygraphs will compute a Wilson confidence interval
    and plot that. This has more reasonable behavior for ratios close to 0 or
    1.</td>
  </tr>

  <tr>
    <td><b>customBars</b></td>
    <td>false</td>
    <td>When set, parse each CSV cell as "low;middle;high". Error bars will be
    drawn for each point between low and high, with the series itself going
    through middle.</td>
  </tr>
</table>

<h2>Common Gotchas</h2>
<p>Here are a few problems that I've frequently run into while using the
dygraphs library.</p>

<ul>
  <li>Make sure your CSV files are readable! If your graph isn't showing up,
  the XMLHttpRequest for the CSV file may be failing. You can determine whether
  this is the case using tools like <a
    href="http://www.getfirebug.com/">Firebug</a>.</li>

  <li>Make sure your CSV files are in the correct format. They must be of the
  form <code>YYYYMMDD,series1,series2,...</code>. And if you set the
  <code>errorBars</code> property, make sure you alternate data series and
  standard deviations.</li>

  <li>dygraphs are not happy when placed inside a <code>&lt;center&gt;</code>
  tag. This applies to the CSS <code>text-align</code> property as well. If you
  want to center a Dygraph, put it inside a table with "align=center"
  set.</li>

  <li>Don't set the <code>dateWindow</code> property to a date. It expects
  milliseconds since epoch, which can be obtained from a JavaScript Date
  object's valueOf method.</li>

  <li>Make sure you don't have any trailing commas in your call to the Dygraph
  constructor or in the options parameter. Firefox, Chrome and Safari ignore
  these but they can cause a graph to not display in Internet Explorer.</li>
</ul>

<a name="policy">
<h2>Data Policy</h2>
<p>dygraphs is purely client-side JavaScript. It does not send your data to any
servers -- the data is processed entirely in the client's browser.</p>

<p><font size=-1>Created May 9, 2008 by <a href=mailto:danvdk@gmail.com>Dan Vanderkam</a></font></p>

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