dygraphs JavaScript Visualization Library

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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.

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A demo is worth a thousand words:

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(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.)

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Temperatures in New York vs. San Francisco

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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.

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

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For more demos, browse the dygraph tests directory.

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The chart is interactive: you can mouse over to highlight individual values. You can click and drag to zoom. Double-clicking will zoom you back out. Shift-drag will pan. You can change the number and hit enter to adjust the averaging period.

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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

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Usage

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

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Here's a basic example to get things started:

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-          HTML
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-  -<html>
-<head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
-</head>
-<body>
-<div id="graphdiv"></div>
-<script type="text/javascript">
-  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"
-
-  );
-</script>
-</body>
-</html>
-
-          
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OUTPUT

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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.

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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)

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-          HTML
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--<html>
-<head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
-</head>
-<body>
-<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>
-
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OUTPUT

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The file used is temperatures.csv.

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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.
Handles huge data sets: dygraphs plots millions of points without getting bogged down. +
Interactive out of the box: zoom, pan and mouseover are on by default. +
Strong support for error bars / confidence intervals. +
Highly customizable: using options and custom callbacks, you can make dygraphs do almost anything. +
dygraphs is works in all recent browsers. You can even pinch to zoom on mobile/tablet devices! +
There's an active community developing and supporting dygraphs.

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:

Getting Started

Start by downloading dygraphs. Then read the Tutorial to learn how to use it, or just play with dygraphs on jsFiddle.

-          HTML
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--<html>
-<head>
-<script type="text/javascript"
-  src="dygraph-combined.js"></script>
-</head>
-<body>
-<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>
-
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OUTPUT

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Once you've got your feet wet, look for inspiration in the demo gallery or check out our list of users.

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.

If you're using npm and a bundler like webpack, browserify or rollup, you can install dygraphs via:

Error Bars

npm install --save dygraphs

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 )

+ and use it via: -

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.

import Dygraph from 'dygraphs';
+// or: const Dygraph = require('dygraphs');
+const g = new Dygraph(div, data, {});

-          HTML
-          
--<html>
-<head>
-<script type="text/javascript"
-  src="combined.js"></script>
-</head>
-<body>
-<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>
-
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OUTPUT

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Things to note here:

Check out the dygraphs ES6 sample project for more details on this approach.

Quick Links

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.
Tutorial +
Options Reference +
API Reference +
CSS Reference +
Data format documentation +
Ask a Question on Stack Overflow. +
Mailing List +
dygraphs blog +
Policy & Licensing

Internet Explorer Compatibility

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The dygraphs library relies heavily on HTML's <canvas> tag, which Microsoft Internet Explorer does not support. Fortunately, some clever engineers created the excanvas library, which implements the <canvas> tag in IE using VML.

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

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-<head>
-  <!--[if IE]><script src="excanvas.js"></script><![endif]-->
-</head>
-

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

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

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-new Dygraph(el, data, {
-  showRoller: true,  // note trailing comma
-})

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Most browsers will ignore the trailing comma, but it will break under IE.

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GViz Data

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The Google Visualization API provides a standard interface for describing data. Once you've specified your data using this API, you can plug in any GViz-compatible visualization. dygraphs is such a visualization.

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For a simple demonstration of how to use dygraphs a GViz visualization, see http://danvk.org/dygraphs/tests/gviz.html. dygraphs can also be used as a GViz gadget. This allows it to be embedded inside of a Google Spreadsheet. For a demonstration of this, see this spreadsheet. The URL for the gadget is http://danvk.org/dygraphs/gadget.xml.

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Here's an example of a published gviz gadget using dygraphs:

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Charting Fractions

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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:

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The average of a1/b1 and a2/b2 is (a1+a2)/(b1+b2), not (a1/b1 + a2/b2)/2.
The normal approximation is not always applicable and more sophisticated confidence intervals (e.g. the Wilson confidence interval) must be employed to avoid ratios that exceed 100% or go below 0%.

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

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Batting Average for Ichiro Suzuki vs. Mariners (2004)

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Command:

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

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

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A couple things to notice about this chart:

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The error bars for Ichiro's batting average are larger than for the Mariners', since he has far fewer at bats than his team.
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.
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.
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.

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One last demo

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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.

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Other Options

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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 dygraphs tests directory.

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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.
labelsKMG2	`true`	`false`	Show k/M/G for kilo/Mega/Giga on y-axis. This is different than - `labelsKMB` in that it uses base 2, not 10.
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.

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Common Gotchas

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Here are a few problems that I've frequently run into while using the dygraphs library.

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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 Firebug.
Make sure your CSV files are in the correct format. They must be of the form YYYYMMDD, series1, series2, … . And if you set the errorBars property, make sure you alternate data series and standard deviations.
dygraphs are not happy when placed inside a <center> tag. This applies to the CSS text-align property as well. If you want to center a Dygraph, put it inside a table with align = center set.
Don't set the dateWindow property to a date. It expects milliseconds since epoch, which can be obtained from a JavaScript Date object's valueOf method.
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.

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Data Policy

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.

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Created May 9, 2008 by Dan Vanderkam

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Documentation

Project

Gallery

dygraphs is a fast, flexible open source JavaScript charting library.

dygraphs JavaScript Visualization Library

A demo is worth a thousand words:

Some things to notice:

Features

Usage

HTML

OUTPUT

HTML

OUTPUT

Getting Started

HTML

OUTPUT

Error Bars

HTML

OUTPUT

Quick Links

Internet Explorer Compatibility

GViz Data

Charting Fractions

One last demo

Other Options

Common Gotchas

Data Policy