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<!DOCTYPE html>
<html lang="en">
<head>
<title>dc.js - Dimensional Charting Javascript Library</title>
<meta charset="UTF-8">
<script type="text/javascript" src="{{ static_url("js/d3.v2.js") }}"></script>
<script type="text/javascript" src="{{ static_url("js/crossfilter.js") }}"></script>
<script type="text/javascript" src="{{ static_url("js/dc.js") }}"></script>
<link href="{{ static_url("css/bootstrap.min.css") }}" rel="stylesheet">
<link rel="stylesheet" type="text/css" href="{{ static_url("css/dc.css") }}"/>
<link href="{{ static_url("highlighter/shCore.css") }}" rel='stylesheet' type='text/css'/>
<link href="{{ static_url("highlighter/shThemeDefault.css") }}" rel='stylesheet' type='text/css'/>
<script src="{{ static_url("highlighter/shCore.js") }}" type='text/javascript'></script>
<script src="{{ static_url("highlighter/shAutoloader.js") }}" type="text/javascript"></script>
<script src="{{ static_url("highlighter/shBrushJScript.js") }}" type='text/javascript'></script>
<script src="{{ static_url("highlighter/shBrushXml.js") }}" type='text/javascript'></script>
<script type="text/javascript">
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-33628816-1']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script');
ga.type = 'text/javascript';
ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0];
s.parentNode.insertBefore(ga, s);
})();
</script>
</head>
<body>
<div class="container">
<h1>dc.js - Dimensional Charting Javascript Library v<span id="version"></span></h1>
<p>
dc.js is a javascript charting library with native <a
href="http://square.github.com/crossfilter/">crossfilter</a>
support and allowing highly efficient exploration on large multi-dimensional dataset (inspired by crossfilter's
demo). It leverages <a href="http://d3js.org/">d3</a> engine to render charts in css friendly svg format. Charts
rendered using dc.js are naturally data driven and reactive therefore providing instant feedback on user's
interaction. The main objective of this project is to provide an easy yet powerful javascript library which can be
utilized to perform data visualization and analysis in browser as well as on mobile device. For more information
please check out our <a href="https://github.com/NickQiZhu/dc.js/wiki">Wiki</a> and
<a href="https://github.com/NickQiZhu/dc.js/wiki/API">API Reference</a>.
</p>
<p>
Fork me @ <a href="https://github.com/NickQiZhu/dc.js">https://github.com/NickQiZhu/dc.js</a> and also feel free
to report any issue or request a new type of chart to be included in the next release.
</p>
<p>
The following charts provide a live example of dc.js used against Nasdaq 100 index for the last 27 years. (You
can run this example completely off-line). Although it is just an example, using it you can
already ask some quite interesting questions. If I am going to gamble whether Nasdaq 100 will gain or lose
tomorrow what is my chance? Is Friday or Monday the most unlucky day for investors? Is spring better than winter to
invest? Can you find the outliers? When did the outliers occur?
Public data source
<a href="http://pitrading.com/free_market_data.htm" target="_blank">PiTrading.com</a>.
</p>
<p>
Try it out or checkout other examples.
<ul>
<li><a href="/vc">US Venture Capital Landscape 2011 (choropleth chart, bubble chart)</a></li>
<li><a href="/crime">Major Canadian City Crime Stats 1998-2011 (bubble overlay, bar chart, line chart)</a></li>
</ul>
</p>
<h2>Nasdaq 100 Index 1985/11/01-2012/06/29</h2>
<div class="row">
<div id="yearly-bubble-chart" class="dc-chart">
<strong>Yearly Performance</strong> (x: index gain, y: index gain(%), radius: fluctuation/index ratio, color: gain/loss)
<a class="reset" href="javascript:yearlyBubbleChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
</div>
<div class="row">
<div id="gain-loss-chart" >
<strong>Days by Gain/Loss</strong>
<a class="reset" href="javascript:gainOrLossChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
<div id="quarter-chart" >
<strong>Quarters</strong>
<a class="reset" href="javascript:quarterChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
<div id="day-of-week-chart" >
<strong>Day of Week</strong>
<a class="reset" href="javascript:dayOfWeekChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
<div id="fluctuation-chart" >
<strong>Days by Fluctuation(%)</strong>
<a class="reset" href="javascript:fluctuationChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
</div>
<div class="row">
<div id="monthly-move-chart" >
<strong>Monthly Index Abs Move & Volume/500,000 Chart</strong> (Blue Line: Avg Index, Green Line: Index Fluctuation)
<a class="reset" href="javascript:volumeChart.filterAll();dc.redrawAll();"
style="display: none;">reset</a>
<div class="clearfix"></div>
</div>
</div>
<div class="row">
<div id="monthly-volume-chart" >
</div>
<p class="muted pull-right" style="margin-right: 15px;">select a time range to zoom in</p>
</div>
<div class="row">
<div >
<div class="dc-data-count">
<span class="filter-count"></span> selected out of <span class="total-count"></span> records | <a href="javascript:dc.filterAll(); dc.renderAll();">Reset All</a>
</div>
</div>
<table class="table table-hover dc-data-table">
<thead>
<tr class="header">
<th>Date</th>
<th>Open</th>
<th>Close</th>
<th>Change</th>
<th>Volume</th>
</tr>
</thead>
</table>
</div>
<script type="text/javascript">
var gainOrLossChart = dc.pieChart("#gain-loss-chart");
var fluctuationChart = dc.barChart("#fluctuation-chart");
var quarterChart = dc.pieChart("#quarter-chart");
var dayOfWeekChart = dc.pieChart("#day-of-week-chart");
var moveChart = dc.compositeChart("#monthly-move-chart");
var volumeChart = dc.barChart("#monthly-volume-chart");
var yearlyBubbleChart = dc.bubbleChart("#yearly-bubble-chart");
// set dc.js version in title
d3.selectAll("#version").text(dc.version);
// load data from a csv file
d3.json("/ndx", function(data) {
// since its a csv file we need to format the data a bit
var dateFormat = d3.time.format("%m/%d/%Y");
var numberFormat = d3.format(".2f");
data.forEach(function(e) {
e.dd = dateFormat.parse(e.date);
e.month = d3.time.month(e.dd); // pre-calculate month for better performance
});
// feed it through crossfilter
var ndx = crossfilter(data);
var all = ndx.groupAll();
var yearlyDimension = ndx.dimension(function(d) {
return d3.time.year(d.dd);
});
var yearlyPerformanceGroup = yearlyDimension.group().reduce(
//add
function(p, v) {
++p.count;
p.absGain += +v.close - +v.open;
p.fluctuation += Math.abs(+v.close - +v.open);
p.sumIndex += (+v.open + +v.close) / 2;
p.avgIndex = p.sumIndex / p.count;
p.percentageGain = (p.absGain / p.avgIndex) * 100;
p.fluctuationPercentage = (p.fluctuation / p.avgIndex) * 100;
return p;
},
//remove
function(p, v) {
--p.count;
p.absGain -= +v.close - +v.open;
p.fluctuation -= Math.abs(+v.close - +v.open);
p.sumIndex -= (+v.open + +v.close) / 2;
p.avgIndex = p.sumIndex / p.count;
p.percentageGain = (p.absGain / p.avgIndex) * 100;
p.fluctuationPercentage = (p.fluctuation / p.avgIndex) * 100;
return p;
},
//init
function() {
return {count:0, absGain:0, fluctuation:0, fluctuationPercentage:0, sumIndex:0, avgIndex:0, percentageGain:0};
}
);
var dateDimension = ndx.dimension(function(d) {
return d.dd;
});
// monthly index avg fluctuation in percentage
var moveMonths = ndx.dimension(function(d) {
return d.month;
});
var monthlyMoveGroup = moveMonths.group().reduceSum(function(d) {
return Math.abs(+d.close - +d.open);
});
var volumeByMonthGroup = moveMonths.group().reduceSum(function(d) {
return d.volume / 500000;
});
var indexAvgByMonthGroup = moveMonths.group().reduce(
function(p, v) {
++p.days;
p.total += (+v.open + +v.close) / 2;
p.avg = Math.round(p.total / p.days);
return p;
},
function(p, v) {
--p.days;
p.total -= (+v.open + +v.close) / 2;
p.avg = p.days==0?0:Math.round(p.total / p.days);
return p;
},
function() {
return {days:0, total:0, avg:0};
}
);
var gainOrLoss = ndx.dimension(function(d) {
return +d.open > +d.close ? "Loss" : "Gain";
});
var gainOrLossGroup = gainOrLoss.group();
var fluctuation = ndx.dimension(function(d) {
return Math.round((d.close - d.open) / d.open * 100);
});
var fluctuationGroup = fluctuation.group();
var quarter = ndx.dimension(function(d) {
var month = d.dd.getMonth();
if (month <= 3)
return "Q1";
else if (month > 3 && month <= 5)
return "Q2";
else if (month > 5 && month <= 7)
return "Q3";
else
return "Q4";
});
var quarterGroup = quarter.group().reduceSum(function(d) {
return d.volume;
});
var dayOfWeek = ndx.dimension(function(d) {
var day = d.dd.getDay();
switch (day) {
case 0:
return "Sun";
case 1:
return "Mon";
case 2:
return "Tue";
case 3:
return "Wed";
case 4:
return "Thu";
case 5:
return "Fri";
case 6:
return "Sat";
}
});
var dayOfWeekGroup = dayOfWeek.group();
yearlyBubbleChart.width(990)
.height(250)
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(yearlyDimension)
.group(yearlyPerformanceGroup)
.transitionDuration(1500)
.colors(["#a60000","#ff0000", "#ff4040","#ff7373","#67e667","#39e639","#00cc00"])
.colorDomain([-12000, 12000])
.colorAccessor(function(d){return d.value.absGain;})
.keyAccessor(function(p) {
return p.value.absGain;
})
.valueAccessor(function(p) {
return p.value.percentageGain;
})
.radiusValueAccessor(function(p) {
return p.value.fluctuationPercentage;
})
.maxBubbleRelativeSize(0.3)
.x(d3.scale.linear().domain([-2500, 2500]))
.y(d3.scale.linear().domain([-100, 100]))
.r(d3.scale.linear().domain([0, 4000]))
.elasticY(true)
.yAxisPadding(100)
.elasticX(true)
.xAxisPadding(500)
.renderHorizontalGridLines(true)
.renderVerticalGridLines(true)
.renderLabel(true)
.renderTitle(true)
.label(function(p) {
return p.key.getFullYear();
})
.title(function(p) {
return p.key.getFullYear()
+ "\n"
+ "Index Gain: " + numberFormat(p.value.absGain) + "\n"
+ "Index Gain in Percentage: " + numberFormat(p.value.percentageGain) + "%\n"
+ "Fluctuation / Index Ratio: " + numberFormat(p.value.fluctuationPercentage) + "%";
})
.yAxis().tickFormat(function(v) {
return v + "%";
});
gainOrLossChart.width(180)
.height(180)
.radius(80)
.dimension(gainOrLoss)
.group(gainOrLossGroup)
.label(function(d) {
return d.data.key + "(" + Math.floor(d.data.value / all.value() * 100) + "%)";
});
quarterChart.width(180)
.height(180)
.radius(80)
.innerRadius(30)
.dimension(quarter)
.group(quarterGroup);
dayOfWeekChart.width(180)
.height(180)
.radius(80)
.colors(['#3182bd', '#6baed6', '#9ecae1', '#c6dbef', '#dadaeb'])
.innerRadius(30)
.dimension(dayOfWeek)
.group(dayOfWeekGroup);
fluctuationChart.width(420)
.height(180)
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(fluctuation)
.group(fluctuationGroup)
.elasticY(true)
.centerBar(true)
.gap(1)
.round(dc.round.floor)
.x(d3.scale.linear().domain([-25, 25]))
.renderHorizontalGridLines(true)
.xAxis()
.tickFormat(function(v) {
return v + "%";
});
moveChart.width(990)
.height(180)
.transitionDuration(1000)
.margins({top: 10, right: 50, bottom: 25, left: 40})
.dimension(moveMonths)
.group(indexAvgByMonthGroup)
.valueAccessor(function(d) {
return d.value.avg;
})
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
.round(d3.time.month.round)
.xUnits(d3.time.months)
.elasticY(true)
.renderHorizontalGridLines(true)
.brushOn(false)
.compose([
dc.lineChart(moveChart).group(indexAvgByMonthGroup)
.valueAccessor(function(d){return d.value.avg;})
.renderArea(true)
.stack(monthlyMoveGroup, function(d){return d.value;})
.title(function(d){
var value = d.value.avg?d.value.avg:d.value;
if(isNaN(value)) value = 0;
return dateFormat(d.key) + "\n" + numberFormat(value);
})
])
.xAxis();
volumeChart.width(990)
.height(40)
.margins({top: 0, right: 50, bottom: 20, left: 40})
.dimension(moveMonths)
.group(volumeByMonthGroup)
.centerBar(true)
.gap(0)
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
.round(d3.time.month.round)
.xUnits(d3.time.months)
.renderlet(function(chart){
chart.select("g.y").style("display", "none");
moveChart.filter(chart.filter());
})
.renderlet(function(chart){
dc.events.trigger(function(){
moveChart.focus(chart.filter());
});
});
dc.dataCount(".dc-data-count")
.dimension(ndx)
.group(all);
dc.dataTable(".dc-data-table")
.dimension(dateDimension)
.group(function(d) {
var format = d3.format("02d");
return d.dd.getFullYear() + "/" + format((d.dd.getMonth() + 1));
})
.size(10)
.columns([
function(d) {
return d.date;
},
function(d) {
return d.open;
},
function(d) {
return d.close;
},
function(d) {
return numberFormat(d.close - d.open);
},
function(d) {
return d.volume;
}
])
.sortBy(function(d) {
return d.dd;
})
.order(d3.ascending)
.renderlet(function(table){
table.selectAll(".dc-table-group").classed("info", true);
});
dc.renderAll();
}
);
</script>
<div class="clearfix"></div>
<h2>Quick 5 Mins How-To Guide (<a href="https://github.com/NickQiZhu/dc.js/wiki/API">API Reference</a>)</h2>
<div>
<h3>Load your data</h3>
<pre class="brush:js">
/*
* data can be loaded through regular means with your
* favorite javascript library
*/
d3.csv("data.csv", function(data) {...};
d3.json("data.json", function(data) {...};
jQuery.getJson("data.json", function(data){...});
</pre>
<h3>Generate dimension and group</h3>
<pre class="brush:js">
// since its a csv file we need to format the data a bit
var dateFormat = d3.time.format("%m/%d/%Y");
data.forEach(function(e) { e.dd = dateFormat.parse(e.date); });
// feed it through crossfilter
var ndx = crossfilter(data);
// define group all for counting
var all = ndx.groupAll();
// define a dimension
var volumeByMonth = ndx.dimension(function(d) { return d3.time.month(d.dd); });
// map/reduce to group sum
var volumeByMonthGroup = volumeByMonth.group().reduceSum(function(d) { return d.volume; });
</pre>
<h3>Anchor Div for Charts</h3>
<pre class="brush:xml">
<!-- A div anchor that can be identified by id -->
<div id="your-chart">
<!-- Title or anything you want to add above the chart -->
<span>Days by Gain or Loss</span>
<!--
if a link with css class "reset" is present then the chart
will automatically turn it on/off based on whether there is filter
set on this chart (slice selection for pie chart and brush
selection for bar chart)
-->
<a class="reset" href="javascript:gainOrLossChart.filterAll();dc.redrawAll();"
style="display: none;">reset</a>
<!--
dc.js will also automatically inject applied current filter value into
any html element with css class set to "filter"
-->
<span class="reset" style="display: none;">Current filter: <span class="filter"></span></span>
</div>
</pre>
<h3>Pie/Donut Chart</h3>
<pre class="brush:js">
/* Create a pie chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.pieChart("#gain-loss-chart", "chartGroup")
.width(200) // (optional) define chart width, :default = 200
.height(200) // (optional) define chart height, :default = 200
.transitionDuration(500) // (optional) define chart transition duration, :default = 350
// (optional) define color array for slices
.colors(['#3182bd', '#6baed6', '#9ecae1', '#c6dbef', '#dadaeb'])
// (optional) define color domain to match your data domain if you want to bind data or color
.colorDomain([-1750, 1644])
// (optional) define color value accessor
.colorAccessor(function(d, i){return d.value;})
.radius(90) // define pie radius
// (optional) if inner radius is used then a donut chart will
// be generated instead of pie chart
.innerRadius(40)
.dimension(gainOrLoss) // set dimension
.group(gainOrLossGroup) // set group
// (optional) by default pie chart will use group.key as it's label
// but you can overwrite it with a closure
.label(function(d) { return d.data.key + "(" + Math.floor(d.data.value / all.value() * 100) + "%)"; })
// (optional) whether chart should render labels, :default = true
.renderLabel(true)
// (optional) by default pie chart will use group.key and group.value as its title
// you can overwrite it with a closure
.title(function(d) { return d.data.key + "(" + Math.floor(d.data.value / all.value() * 100) + "%)"; })
// (optional) whether chart should render titles, :default = false
.renderTitle(true);
</pre>
<h3>Bar Chart</h3>
<pre class="brush:js">
/* Create a bar chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.barChart("#volume-month-chart")
.width(990) // (optional) define chart width, :default = 200
.height(250) // (optional) define chart height, :default = 200
.transitionDuration(500) // (optional) define chart transition duration, :default = 500
// (optional) define margins
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(volumeByMonth) // set dimension
.group(volumeByMonthGroup) // set group
// (optional) whether chart should rescale y axis to fit data, :default = false
.elasticY(true)
// (optional) when elasticY is on whether padding should be applied to y axis domain, :default=0
.yAxisPadding(100)
// (optional) whether chart should rescale x axis to fit data, :default = false
.elasticX(true)
// (optional) when elasticX is on whether padding should be applied to x axis domain, :default=0
.xAxisPadding(500)
// define x scale
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
// (optional) set filter brush rounding
.round(d3.time.month.round)
// define x axis units
.xUnits(d3.time.months)
// (optional) whether bar should be center to its x value, :default=false
.centerBar(true)
// (optional) set gap between bars manually in px, :default=2
.barGap(1)
// (optional) render horizontal grid lines, :default=false
.renderHorizontalGridLines(true)
// (optional) render vertical grid lines, :default=false
.renderVerticalGridLines(true)
// (optional) add stacked group and custom value retriever
.stack(monthlyMoveGroup, function(d){return d.value;})
// (optional) you can add multiple stacked group with or without custom value retriever
// if no custom retriever provided base chart's value retriever will be used
.stack(monthlyMoveGroup)
// (optional) whether this chart should generate user interactive brush to allow range
// selection, :default=true.
.brushOn(true)
// (optional) whether svg title element(tooltip) should be generated for each bar using
// the given function, :default=no
.title(function(d) { return "Value: " + d.value; })
// (optional) whether chart should render titles, :default = false
.renderTitle(true);
</pre>
<h3>Line Chart</h3>
<pre class="brush:js">
/* Create a line chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.lineChart("#monthly-move-chart", "chartGroup")
.width(990) // (optional) define chart width, :default = 200
.height(200) // (optional) define chart height, :default = 200
.transitionDuration(500) // (optional) define chart transition duration, :default = 500
// (optional) define margins
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(monthlyMove) // set dimension
.group(monthlyMoveGroup) // set group
// (optional) whether chart should rescale y axis to fit data, :default = false
.elasticY(true)
// (optional) when elasticY is on whether padding should be applied to y axis domain, :default=0
.yAxisPadding(100)
// (optional) whether chart should rescale x axis to fit data, :default = false
.elasticX(true)
// (optional) when elasticX is on whether padding should be applied to x axis domain, :default=0
.xAxisPadding(500)
// define x scale
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
// (optional) set filter brush rounding
.round(d3.time.month.round)
// define x axis units
.xUnits(d3.time.months)
// (optional) render horizontal grid lines, :default=false
.renderHorizontalGridLines(true)
// (optional) render vertical grid lines, :default=false
.renderVerticalGridLines(true)
// (optional) render as area chart, :default = false
.renderArea(true)
// (optional) add stacked group and custom value retriever
.stack(monthlyMoveGroup, function(d){return d.value;})
// (optional) you can add multiple stacked group with or without custom value retriever
// if no custom retriever provided base chart's value retriever will be used
.stack(monthlyMoveGroup)
// (optional) whether this chart should generate user interactive brush to allow range
// selection, :default=true.
.brushOn(true)
// (optional) whether dot and title should be generated on the line using
// the given function, :default=no
.title(function(d) { return "Value: " + d.value; })
// (optional) whether chart should render titles, :default = false
.renderTitle(true)
// (optional) radius used to generate title dot, :default = 5
.dotRadius(10);
</pre>
<h3>Composite Chart</h3>
<pre class="brush:js">
/* Create a composite chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.compositeChart("#montly-move-chart", "chartGroup")
.width(990) // (optional) define chart width, :default = 200
.height(200) // (optional) define chart height, :default = 200
.transitionDuration(500) // (optional) define chart transition duration, :default = 500
// (optional) define margins
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(monthlyMove) // set dimension
.group(monthlyMoveGroup) // set group
// (optional) whether chart should rescale y axis to fit data, :default = false
.elasticY(true)
// (optional) when elasticY is on whether padding should be applied to y axis domain, :default=0
.yAxisPadding(100)
// (optional) whether chart should rescale x axis to fit data, :default = false
.elasticX(true)
// (optional) when elasticX is on whether padding should be applied to x axis domain, :default=0
.xAxisPadding(500)
// define x scale
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
// (optional) set filter brush rounding
.round(d3.time.month.round)
// define x axis units
.xUnits(d3.time.months)
// (optional) render horizontal grid lines, :default=false
.renderHorizontalGridLines(true)
// (optional) render vertical grid lines, :default=false
.renderVerticalGridLines(true)
// compose sub charts, currently composite chart only supports line chart & bar chart
.compose([
/* Pass the parent chart instance to sub-chart function instead of css selector.
* Sub-charts can have it's own group and dimension however usually it should
* share parent chart's dimension. If sub-chart's dimension or group is not
* explicitly defined here then it will simply inherent from it's parent. */
dc.barChart(volumeMoveChart).group(volumeByMonthGroup),
// you can even include stacked bar chart or line chart in a composite chart
dc.lineChart(volumeMoveChart).group(indexAvgByMonthGroup).valueAccessor(function(d){return d.value.avg;}).renderArea(true).stack(monthlyMoveGroup, function(d){return d.value;})
])
// (optional) whether this chart should generate user interactive brush to allow range
// selection, :default=true.
.brushOn(true);
</pre>
<h3>Bubble Chart</h3>
<pre class="brush:js">
/* Create a bubble chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.bubbleChart("#yearly-bubble-chart", "chartGroup")
.width(990) // (optional) define chart width, :default = 200
.height(250) // (optional) define chart height, :default = 200
.transitionDuration(1000) // (optional) define chart transition duration, :default = 1000
// (optional) define margins
.margins({top: 10, right: 50, bottom: 30, left: 40})
.dimension(yearlyDimension) // set dimension
/* Bubble chart expect the groups are reduced to multiple values which would then be used
* to generate x, y, and radius for each key (bubble) in the group */
.group(yearlyPerformanceGroup)
// (optional) define color function or array for bubbles
.colors(["red", "#ccc","steelblue","green"])
// (optional) define color domain to match your data domain if you want to bind data or color
.colorDomain([-1750, 1644])
// (optional) define color value accessor
.colorAccessor(function(d, i){return d.value.absGain;})
// closure used to retrieve x value from multi-value group
.keyAccessor(function(p) {return p.value.absGain;})
// closure used to retrieve y value from multi-value group
.valueAccessor(function(p) {return p.value.percentageGain;})
// closure used to retrieve radius value from multi-value group
.radiusValueAccessor(function(p) {return p.value.fluctuationPercentage;})
// set x scale
.x(d3.scale.linear().domain([-2500, 2500]))
// set y scale
.y(d3.scale.linear().domain([-100, 100]))
// (optional) whether chart should rescale y axis to fit data, :default = false
.elasticY(true)
// (optional) when elasticY is on whether padding should be applied to y axis domain, :default=0
.yAxisPadding(100)
// (optional) whether chart should rescale x axis to fit data, :default = false
.elasticX(true)
// (optional) when elasticX is on whether padding should be applied to x axis domain, :default=0
.xAxisPadding(500)
// set radius scale
.r(d3.scale.linear().domain([0, 4000]))
// (optional) whether chart should render labels, :default = true
.renderLabel(true)
// (optional) closure to generate label per bubble, :default = group.key
.label(function(p) {return p.key.getFullYear();})
// (optional) whether chart should render titles, :default = false
.renderTitle(true)
// (optional) closure to generate title per bubble, :default = d.key + ": " + d.value
.title(function(p) {
return p.key.getFullYear()
+ "\n"
+ "Index Gain: " + numberFormat(p.value.absGain) + "\n"
+ "Index Gain in Percentage: " + numberFormat(p.value.percentageGain) + "%\n"
+ "Fluctuation / Index Ratio: " + numberFormat(p.value.fluctuationPercentage) + "%";
})
// (optional) render horizontal grid lines, :default=false
.renderHorizontalGridLines(true)
// (optional) render vertical grid lines, :default=false
.renderVerticalGridLines(true);
</pre>
<h3>Geo Choropleth Chart</h3>
<pre class="brush:js">
/* Create a choropleth chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.geoChoroplethChart("#us-chart")
.width(990) // (optional) define chart width, :default = 200
.height(500) // (optional) define chart height, :default = 200
.transitionDuration(1000) // (optional) define chart transition duration, :default = 1000
.dimension(states) // set crossfilter dimension, dimension key should match the name retrieved in geo json layer
.group(stateRaisedSum) // set crossfilter group
// (optional) define color function or array for bubbles
.colors(["#ccc", "#E2F2FF","#C4E4FF","#9ED2FF","#81C5FF","#6BBAFF","#51AEFF","#36A2FF","#1E96FF","#0089FF","#0061B5"])
// (optional) define color domain to match your data domain if you want to bind data or color
.colorDomain([-5, 200])
// (optional) define color value accessor
.colorAccessor(function(d, i){return d.value;})
/* Project the given geojson. You can call this function mutliple times with different geojson feed to generate
* multiple layers of geo paths.
* 1st param - geo json data
* 2nd param - name of the layer which will be used to generate css class
* 3rd param - (optional) a function used to generate key for geo path, it should match the dimension key
* in order for the coloring to work properly */
.overlayGeoJson(statesJson.features, "state", function(d) {
return d.properties.name;
})
// (optional) closure to generate title for path, :default = d.key + ": " + d.value
.title(function(d) {
return "State: " + d.key + "\nTotal Amount Raised: " + numberFormat(d.value ? d.value : 0) + "M";
});
</pre>
<h3>Bubble Overlay Chart</h3>
<pre class="brush:js">
/* Create a overlay bubble chart and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.bubbleOverlay("#bubble-overlay")
// bubble overlay chart does not generate it's own svg element but rather resue an existing
// svg to generate it's overlay layer
.svg(d3.select("#bubble-overlay svg"))
.width(990) // (optional) define chart width, :default = 200
.height(500) // (optional) define chart height, :default = 200
.transitionDuration(1000) // (optional) define chart transition duration, :default = 1000
.dimension(states) // set crossfilter dimension, dimension key should match the name retrieved in geo json layer
.group(stateRaisedSum) // set crossfilter group
// closure used to retrieve x value from multi-value group
.keyAccessor(function(p) {return p.value.absGain;})
// closure used to retrieve y value from multi-value group
.valueAccessor(function(p) {return p.value.percentageGain;})
// (optional) define color function or array for bubbles
.colors(["#ccc", "#E2F2FF","#C4E4FF","#9ED2FF","#81C5FF","#6BBAFF","#51AEFF","#36A2FF","#1E96FF","#0089FF","#0061B5"])
// (optional) define color domain to match your data domain if you want to bind data or color
.colorDomain([-5, 200])
// (optional) define color value accessor
.colorAccessor(function(d, i){return d.value;})
// closure used to retrieve radius value from multi-value group
.radiusValueAccessor(function(p) {return p.value.fluctuationPercentage;})
// set radius scale
.r(d3.scale.linear().domain([0, 3]))
// (optional) whether chart should render labels, :default = true
.renderLabel(true)
// (optional) closure to generate label per bubble, :default = group.key
.label(function(p) {return p.key.getFullYear();})
// (optional) whether chart should render titles, :default = false
.renderTitle(true)
// (optional) closure to generate title per bubble, :default = d.key + ": " + d.value
.title(function(d) {
return "Title: " + d.key;
})
// add data point to it's layer dimension key that matches point name will be used to
// generate bubble. multiple data points can be added to bubble overlay to generate
// multiple bubbles
.point("California", 100, 120)
.point("Colorado", 300, 120)
// (optional) setting debug flag to true will generate a transparent layer on top of
// bubble overlay which can be used to obtain relative x,y coordinate for specific
// data point, :default = false
.debug(true);
</pre>
<h3>Data Table</h3>
<pre class="brush:xml">
<!-- anchor div for data table -->
<div id="data-table">
<!-- create a custom header -->
<div class="header">
<span>Date</span>
<span>Open</span>
<span>Close</span>
<span>Change</span>
<span>Volume</span>
</div>
<!-- data rows will filled in here -->
</div>
</pre>
<pre class="brush:js">
/* Create a data table widget and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.dataTable("#data-table")
// set dimension
.dimension(dateDimension)
// data table does not use crossfilter group but rather a closure
// as a grouping function
.group(function(d) {
return d.dd.getFullYear() + "/" + (d.dd.getMonth() + 1);
})
// (optional) max number of records to be shown, :default = 25
.size(10)
// dynamic columns creation using an array of closures
.columns([
function(d) { return d.date; },
function(d) { return d.open; },
function(d) { return d.close; },
function(d) { return Math.floor((d.close - d.open)/d.open*100) + "%"; },
function(d) { return d.volume; }
])
// (optional) sort using the given field, :default = function(d){return d;}
.sortBy(function(d){ return d.dd; })
// (optional) sort order, :default ascending
.order(d3.ascending);
</pre>
<h3>Data Count</h3>
<pre class="brush:xml">
<div id="data-count">
<span class="filter-count"></span> selected out of <span class="total-count"></span> records
</div>
</pre>
<pre class="brush:js">
/* Create a data count widget and use the given css selector as anchor. You can also specify
* an optional chart group for this chart to be scoped within. When a chart belongs
* to a specific group then any interaction with such chart will only trigger redraw
* on other charts within the same chart group. */
dc.dataCount("#data-count")
.dimension(ndx) // set dimension to all data
.group(all); // set group to ndx.groupAll()
</pre>
<h3>Rendering</h3>
<pre class="brush:js">
// simply call renderAll() to render all charts on the page
dc.renderAll();
// or you can render charts belong to a specific chart group
dc.renderAll("group");
// once rendered you can call redrawAll to update charts incrementally when data
// change without re-rendering everything
dc.redrawAll();
// or you can choose to redraw only those charts associated with a specific chart group
dc.redrawAll("group");
</pre>
<p>
Try dc.js with your own data set and have fun!
</p>
<a href="https://github.com/NickQiZhu/dc.js"><img style="position: absolute; top: 0; right: 0; border: 0;"
src="https://s3.amazonaws.com/github/ribbons/forkme_right_darkblue_121621.png"
alt="Fork me on GitHub"></a>
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