dygraphs JavaScript Visualization Library
-http://github.com/danvk/dygraphs
-See downloads, gallery and open issues

- -

dygraphs is an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them.

- - -

A demo is worth a thousand words:

- -

(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.)

Temperatures in New York vs. San Francisco

- - -

Some things to notice:

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

- -

dygraphs allows the user to explore the data and discover these facts.

- -

For more demos, browse the dygraph tests directory.

- -

Features

Some of the features of dygraphs:

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

- -

Usage

- -

To use dygraphs, include the dygraph-combined.js JavaScript file and instantiate a Dygraph object.

- -

Here's a basic example to get things started:

- - - - - - -

HTML Output

HTML		Output
+ dygraphs JavaScript Visualization Library + + http://github.com/danvk/dygraphs + See downloads, gallery and open issues + + dygraphs is an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them. + + A demo is worth a thousand words: + + (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.) + + Temperatures in New York vs. San Francisco + + + + + Some things to notice: + + There's less seasonal temperature variation in SF than in NY. + The difference is about 15° F for SF vs. 50° F for NY. + The daily data (set rolling period to 1) is quite noisy and hides this conclusion. + Using a 14-day moving average makes it clearer. A 100-day rolling period averages out nearly all the specifics from the data. + There's a gap in the data for SF, when the weather station was down (zoom into October 2007 to see it). + The bands around each point indicate average highs and lows. + There is a lot of data in this chart: low, average and high for each city on each day of a three year period ≈ 6000 data points in all. + + + dygraphs allows the user to explore the data and discover these facts. + + For more demos, browse the dygraph tests directory. + + Features + Some of the features of dygraphs: + + Plots time series without using an external server or Flash + Works in Internet Explorer (using excanvas) + Lightweight (45kb) and responsive + Displays values on mouseover (this makes it easily discoverable) + Supports error bands around data series + Interactive zoom + Adjustable averaging period + Can intelligently chart fractions + Customizable click-through actions + Compatible with the Google Visualization API + Intelligent defaults make it easy to use + + + Usage + + To use dygraphs, include the `dygraph-combined.js` JavaScript file and instantiate a `Dygraph` object. + + Here's a basic example to get things started: + + + + HTML + + <html> <head> -<script type="text/javascript" - src="dygraph-combined.js"></script> +<script type="text/javascript" + src="dygraph-combined.js"></script> </head> <body> -<div id="graphdiv"></div> -<script type="text/javascript"> - g = new Dygraph( +<div id="graphdiv"></div> +<script type="text/javascript"> + g = new Dygraph( // containing div - document.getElementById("graphdiv"), + 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" + "Date,Temperature\n" + + "2008-05-07,75\n" + + "2008-05-08,70\n" + + "2008-05-09,80\n" ); </script> </body> </html> - -	- -

dygraphs JavaScript Visualization Library

+ +

http://github.com/danvk/dygraphs

See downloads, gallery and open issues

+ +

A demo is worth a thousand words:

+ +

(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.)

+ +

Temperatures in New York vs. San Francisco

+ +

+ + +

Some things to notice:

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

+ +

dygraphs allows the user to explore the data and discover these facts.

+ +

For more demos, browse the dygraph tests directory.

+ +

Features

Some of the features of dygraphs:

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

+ +

Usage

+ +

To use dygraphs, include the dygraph-combined.js JavaScript file and instantiate a Dygraph object.

+ +

Here's a basic example to get things started:

+ +

+            HTML
+            
+     <html>
 <head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
+<script type="text/javascript"
+    src="dygraph-combined.js"></script>
 </head>
 <body>
-<div id="graphdiv"></div>
-<script type="text/javascript">
-  g = new Dygraph(
+<div id="graphdiv"></div>
+<script type="text/javascript">
+    g = new Dygraph(
         // containing div
-        document.getElementById("graphdiv"),
+        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"
+        "Date,Temperature\n" +
+        "2008-05-07,75\n" +
+        "2008-05-08,70\n" +
+        "2008-05-09,80\n"
       );
 </script>
 </body>
 </html>
-
-

- - - -

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.

- -

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 "file:///". Here's an example: (data from Weather Underground)

- - - - - - -

HTML Output

HTML		Output
+ + + + + OUTPUT + + + + + + 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. + + 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 `"file:///"`. Here's an example: (data from Weather Underground) + + + + HTML + + <html> <head> -<script type="text/javascript" - src="dygraph-combined.js"></script> +<script type="text/javascript" + src="dygraph-combined.js"></script> </head> <body> -<div id="graphdiv" - style="width:500px; height:300px;"></div> -<script type="text/javascript"> - new Dygraph( - document.getElementById("graphdiv"), - "temperatures.csv", // path to CSV file - {} // options - ); +<div id="graphdiv2" + style="width:500px; height:300px;"></div> +<script type="text/javascript"> + g2 = new Dygraph( + document.getElementById("graphdiv2"), + "temperatures.csv", // path to CSV file + {} // options + ); </script> </body> </html> -	- -

+ + +

OUTPUT

+ +

+ + +

+ +

+            HTML
+            
+ <html>
 <head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
+<script type="text/javascript"
+    src="dygraph-combined.js"></script>
 </head>
 <body>
-<div id="graphdiv"
-  style="width:500px; height:300px;"></div>
-<script type="text/javascript">
-  new Dygraph(
-    document.getElementById("graphdiv"),
-    "temperatures.csv",  // path to CSV file
-    {}                   // options
-  );
+<div id="graphdiv2"
+  style="width:500px; height:300px;"></div>
+<script type="text/javascript">
+    g2 = new Dygraph(
+        document.getElementById("graphdiv2"),
+        "temperatures.csv", // path to CSV file
+        {}                  // options
+    );
 </script>
 </body>
 </html>
 
-

- - - -

Click here to view the temperatures.csv file. There are a few things to note here:

- -

The Dygraph sent off an XHR to get the temperatures.csv file.
The labels were taken from the first line of temperatures.csv, which is Date,High,Low.
The Dygraph automatically chose two different, easily-distinguishable colors for the two data series.
The labels on the x-axis have switched from days to months. If you zoom in, they'll switch to weeks and then days.
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.
The data is very spiky. A moving average would be easier to interpret.

- -

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 rollPeriod option. Here's how it's done:

- - - - - - -

HTML Output

HTML		Output
+ + + + OUTPUT + + + + + + The file used is `temperatures.csv`. + + There are a few things to note here: + + + The Dygraph sent off an XHR to get the temperatures.csv file. + The labels were taken from the first line of `temperatures.csv`, which is `Date,High,Low`. + The Dygraph automatically chose two different, easily-distinguishable colors for the two data series. + The labels on the x-axis have switched from days to months. If you zoom in, they'll switch to weeks and then days. + 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. + The data is very spiky. A moving average would be easier to interpret. + + + 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 `rollPeriod` option. Here's how it's done: + + + + HTML + + <html> <head> -<script type="text/javascript" - src="dygraph-combined.js"></script> +<script type="text/javascript" + src="dygraph-combined.js"></script> </head> <body> -<div id="graphdiv" - style="width:500px; height:300px;"></div> -<script type="text/javascript"> - g = new Dygraph( - document.getElementById("graphdiv"), - "temperatures.csv", - { rollPeriod: 7, - showRoller: true, +<div id="graphdiv3" + style="width:500px; height:300px;"></div> +<script type="text/javascript"> + g3 = new Dygraph( + document.getElementById("graphdiv3"), + "temperatures.csv", + { + rollPeriod: 7, + showRoller: true, } - ); + ); </script> </body> </html> -	- -

+            
+        
+        
+            OUTPUT
+            
+            
+        
+    
+
+    The file used is temperatures.csv.
+
+    There are a few things to note here:
+
+    
+        The Dygraph sent off an XHR to get the temperatures.csv file.
+        The labels were taken from the first line of temperatures.csv, which is Date,High,Low.
+        The Dygraph automatically chose two different, easily-distinguishable colors for the two data series.
+        The labels on the x-axis have switched from days to months. If you zoom in, they'll switch to weeks and then days.
+        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.
+        The data is very spiky. A moving average would be easier to interpret.
+    
+
+    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 rollPeriod option. Here's how it's done:
+
+    
+        
+            HTML
+            
+ <html>
 <head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
+<script type="text/javascript"
+    src="dygraph-combined.js"></script>
 </head>
 <body>
-<div id="graphdiv"
-  style="width:500px; height:300px;"></div>
-<script type="text/javascript">
-  g = new Dygraph(
-        document.getElementById("graphdiv"),
-        "temperatures.csv",
-        { rollPeriod: 7,
-          showRoller: true,
+<div id="graphdiv3"
+    style="width:500px; height:300px;"></div>
+<script type="text/javascript">
+    g3 = new Dygraph(
+        document.getElementById("graphdiv3"),
+        "temperatures.csv",
+        {
+            rollPeriod: 7,
+            showRoller: true,
         }
-      );
+    );
 </script>
 </body>
 </html>
 
-

- - - -

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.

- -

Error Bars

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 +/-n 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. σ = sqrt((σ_1^2 + σ_2^2 + ... + σ_n^2)/n))

- -

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

- - - - - - -

HTML Output

HTML		Output
+ + + + OUTPUT + + + + + + 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. + + Error Bars + 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 ±n 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. σ = sqrt( (σ_1² + σ_2² + ... + σ_n²) / n ) + + Here's a demonstration. There are two data series. One is `N(100,10)` with a standard deviation of 10 specified at each point. The other is `N(80,20)` with a standard deviation of 20 specified at each point. The CSV file was generated using Octave and can be viewed at twonormals.csv. + + + + HTML + + <html> <head> -<script type="text/javascript" - src="combined.js"></script> +<script type="text/javascript" + src="combined.js"></script> </head> <body> -<div id="graphdiv" - style="width:600px; height:300px;" - ></div> -<script type="text/javascript"> -$ = document.getElementById; -g = new Dygraph( - $("graphdiv"), - "twonormals.csv", - { rollPeriod: 7, - showRoller: true, - errorBars: true, - valueRange: [50,125] - } -); +<div id="graphdiv4" + style="width:600px; height:300px;"></div> +<script type="text/javascript"> + g4 = new Dygraph( + document.getElementById("graphdiv4"), + "twonormals.csv", + { + rollPeriod: 7, + showRoller: true, + errorBars: true, + valueRange: [50,125] + } + ); </script> </body> </html> -	- -

+            
+        
+        
+            OUTPUT
+            
+            
+        
+    
+
+    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.
+
+    Error Bars
+    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 ±n 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. σ = sqrt( (σ_1² + σ_2² + ... + σ_n²) / n )
+
+    Here's a demonstration. There are two data series. One is N(100,10) with a standard deviation of 10 specified at each point. The other is N(80,20) with a standard deviation of 20 specified at each point. The CSV file was generated using Octave and can be viewed at twonormals.csv.
+
+    
+        
+            HTML
+            
+ <html>
 <head>
-<script type="text/javascript"
-  src="combined.js"></script>
+<script type="text/javascript"
+    src="combined.js"></script>
 </head>
 <body>
-<div id="graphdiv" 
- style="width:600px; height:300px;"
- ></div>
-<script type="text/javascript">
-$ = document.getElementById;
-g = new Dygraph(
-  $("graphdiv"),
-  "twonormals.csv",
-  { rollPeriod: 7,
-    showRoller: true,
-    errorBars: true,
-    valueRange: [50,125]
-  }
-);
+<div id="graphdiv4"
+    style="width:600px; height:300px;"></div>
+<script type="text/javascript">
+    g4 = new Dygraph(
+      document.getElementById("graphdiv4"),
+      "twonormals.csv",
+      {
+          rollPeriod: 7,
+          showRoller: true,
+          errorBars: true,
+          valueRange: [50,125]
+      }
+    );
 </script>
 </body>
 </html>
 
-

- - - -

Things to note here:

The errorBars option affects both the interpretation of the CSV file and the display of the graph. When errorBars is set to true, each line is interpreted as YYYYMMDD,A,sigma_A,B,sigma_B,...
The first line of the CSV file doesn't mention the error columns. In this case, it's just "Date,Series1,Series2".
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.
The error bars are partially transparent. This can be seen when they overlap one another.

- -

Internet Explorer Compatibility

- -

The dygraphs library relies heavily on HTML's <canvas> tag, which + +

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

This works quite well in practice. Charts are responsive, even under VML emulation.

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

Name	Sample Value	Description
includeZero	`true, false`	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.
rollPeriod	`7`	Number of days over which to average data. Discussed extensively above.
showRoller	`true`	Should the rolling average period text box be shown? Default is false.
colors	`['red', '#00FF00']`	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.
colorSaturation	`1.0`	If colors is not specified, saturation of the - automatically-generated data series colors. (0.0-1.0, default: - 1.0)
colorValue	`0.5`	If colors is not specified, value of the data series colors, as in - hue/saturation/value. (0.0-1.0, default 0.5)
clickCallback	`function(e,date){ alert(date); }`	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)
zoomCallback	`function(minDate,maxDate) {}`	A function to call when the zoom window is changed (either by zooming - in or out). minDate and maxDate are milliseconds since epoch.
strokeWidth	`2.0`	Width of the data lines. This can be used to increase the contrast or - some graphs. (default 1.0)
dateWindow	`[Date.parse('2006-01-01'), - (new Date()).valueOf()]`	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.
valueRange	`[10, 110]`	Explicitly set the vertical range of the graph to [low, high]. By - default, some clever heuristics are used (see above).
labelsSeparateLines	`true`	Put <br/> between lines in the label string. Often used in - conjunction with labelsDiv. (default false)
labelsDiv	`document.getElementById('foo')`	Show data labels in an external div, rather than on the graph. (default - null)
labelsKMB	`true`	Show K/M/B for thousands/millions/billions on y-axis (default - false).
labelsDivWidth	250	Width (in pixels) of the div which shows information on the - currently-highlighted points.
labelsDivStyles	{}	Additional styles to apply to the currently-highlighted points div. For - example, { 'font-weight': 'bold' } will make the labels bold.
highlightCircleSize	`3`	Size (in pixels) of the dot drawn over highlighted points (default 3).
drawPoints	`false`	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
pointSize	`1.0`	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.
pixelsPerXLabel, pixelsPerYLabel	50	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).
xAxisLabelWidth, yAxisLabelWidth	50	Width (in pixels) of the x- and y-axis labels.
axisLabelFontSize	14	Size of the font (in pixels) to use in the axis labels, both x- and - y-axis.
rightGap	5	Number of pixels to leave blank at the right edge of the Dygraph. This - makes it easier to highlight the right-most data point.
errorBars	`false`	Does the data contain standard deviations? Setting this to true alters - the input format (see above). (default false)
sigma	2	When errorBars is set, shade this many standard deviations above/below - each point.
fractions	false	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).
wilsonInterval	true	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.
customBars	false	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.

Name	Values	Default	Description
includeZero	`boolean`	`false`	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.
rollPeriod	`integer >= 1`	`1`	Number of days over which to average data. Discussed extensively above.
showRoller	`boolean`	`false`	If the rolling average period text box should be shown.
colors	`['red', '#00FF00']`		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.
colorSaturation	`0.0 - 1.0`	`1.0`	If colors is not specified, saturation of the automatically-generated data series colors.
colorValue	`float (0.0 — 1.0)`	`1.0`	If colors is not specified, value of the data series colors, as in hue/saturation/value. (0.0-1.0, default 0.5)
clickCallback	`function(e, date){ alert(date); }`	`null`	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)
zoomCallback	`function(minDate, maxDate){}`	`null`	A function to call when the zoom window is changed (either by zooming in or out). minDate and maxDate are milliseconds since epoch.
strokeWidth	`integer`	`1`	Width of the data lines. This can be used to increase the contrast or some graphs.
dateWindow	`[ Date.parse('2006-01-01'), (new Date()).valueOf() ]`	`Full range of the input is shown`	Initially zoom in on a section of the graph. Is of the form [earliest, latest], where earliest/latest are milliseconds since epoch.
valueRange	`[10, 110]`	`Full range of the input is shown`	Explicitly set the vertical range of the graph to [low, high].
labelsSeparateLines	`boolean`	`false`	Put `<br/>` between lines in the label string. Often used in conjunction with labelsDiv.
labelsDiv	`document.getElementById('foo')`	`null`	Show data labels in an external div, rather than on the graph.
labelsKMB	`true`	`false`	Show K/M/B for thousands/millions/billions on y-axis.
labelsDivWidth	`250`		Width (in pixels) of the div which shows information on the currently-highlighted points.
labelsDivStyles	`{}`	`null`	Additional styles to apply to the currently-highlighted points div. For example, { 'font-weight': 'bold' } will make the labels bold.
highlightCircleSize	`integer`	`3`	The size in pixels of the dot drawn over highlighted points.
drawPoints	`boolean`	`false`	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.
pointSize	`interger`	`1`	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.
pixelsPerXLabel	`integer`	`60`	Number of pixels to require between each x- and y-label. Larger values will yield a sparser axis with fewer ticks.
pixelsPerYLabel	`integer`	`30`
xAxisLabelWidth	`integer`		Width (in pixels) of the x- and y-axis labels.
yAxisLabelWidth	`integer`		Width (in pixels) of the x- and y-axis labels.
axisLabelFontSize	`integer`	`14`	Size of the font (in pixels) to use in the axis labels, both x- and y-axis.
rightGap	`integer`		Number of pixels to leave blank at the right edge of the Dygraph. This makes it easier to highlight the right-most data point.
errorBars	`boolean`	`false`	Does the data contain standard deviations? Setting this to true alters the input format (see above).
sigma	`integer`		When errorBars is set, shade this many standard deviations above/below each point.
fractions	`boolean`	`false`	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).
wilsonInterval	`boolean`	`true`	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.
customBars	`boolean`	`false`	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.

Documentation

Project

Gallery

Features

Usage

dygraphs JavaScript Visualization Library

A demo is worth a thousand words:

Some things to notice:

Features

Usage

HTML

OUTPUT

HTML

OUTPUT

HTML

Error Bars

OUTPUT

Error Bars

HTML

Internet Explorer Compatibility

OUTPUT

Internet Explorer Compatibility

GViz Data

GViz Data

Charting Fractions

Charting Fractions

One last demo

One last demo

Other Options

Common Gotchas

Data Policy

Other Options

Common Gotchas

Data Policy