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stock.js
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//# dc.js Getting Started and How-To Guide
'use strict';
/* jshint globalstrict: true */
/* global dc,d3,crossfilter */
// ### Create Chart Objects
// Create chart objects assocated with the container elements identified by the css selector.
// Note: It is often a good idea to have these objects accessible at the global scope so that they can be modified or filtered by other page controls.
var gainOrLossChart = dc.pieChart("#gain-loss-chart");
var fluctuationChart = dc.barChart("#fluctuation-chart");
var quarterChart = dc.pieChart("#quarter-chart");
var dayOfWeekChart = dc.rowChart("#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");
// ### Anchor Div for Charts
/*
// A div anchor that can be identified by id
<div id="your-chart"></div>
// Title or anything you want to add above the chart
<div id="chart"><span>Days by Gain or Loss</span></div>
// #### .turnOnControls()
// 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)
<div id="chart">
<a class="reset" href="javascript:myChart.filterAll();dc.redrawAll();" style="display: none;">reset</a>
</div>
// dc.js will also automatically inject applied current filter value into
// any html element with css class set to "filter"
<div id="chart">
<span class="reset" style="display: none;">Current filter: <span class="filter"></span></span>
</div>
*/
//### Load your data
//Data can be loaded through regular means with your
//favorite javascript library
//
//```javascript
//d3.csv("data.csv", function(data) {...};
//d3.json("data.json", function(data) {...};
//jQuery.getJson("data.json", function(data){...});
//```
d3.csv("ndx.csv", 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
});
//### Create Crossfilter Dimensions and Groups
//See the [crossfilter API](https://github.com/square/crossfilter/wiki/API-Reference) for reference.
var ndx = crossfilter(data);
var all = ndx.groupAll();
var yearlyDimension = ndx.dimension(function (d) {
return d3.time.year(d.dd).getFullYear();
});
var yearlyPerformanceGroup = yearlyDimension.group().reduce(
/* callback for when data is added to the current filter results */
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;
},
/* callback for when data is removed from the current filter results */
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;
},
/* initialize p */
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 <= 2)
return "Q1";
else if (month > 3 && month <= 5)
return "Q2";
else if (month > 5 && month <= 8)
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 "0.Sun";
case 1:
return "1.Mon";
case 2:
return "2.Tue";
case 3:
return "3.Wed";
case 4:
return "4.Thu";
case 5:
return "5.Fri";
case 6:
return "6.Sat";
}
});
var dayOfWeekGroup = dayOfWeek.group();
//### Define Chart Attributes
//Define chart attributes using fluent methods. See the [dc API Reference](https://github.com/NickQiZhu/dc.js/blob/master/web/docs/api-1.7.0.md) for more information
//
//#### Bubble Chart
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)
.xAxisLabel('Index Gain')
.yAxisLabel('Index Gain %')
.label(function (p) {
return p.key;
})
.title(function (p) {
return p.key
+ "\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 + "%";
});
// #### Pie/Donut Chart
// 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.
gainOrLossChart
.width(180) // (optional) define chart width, :default = 200
.height(180) // (optional) define chart height, :default = 200
.radius(80) // define pie radius
.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) {
if (gainOrLossChart.hasFilter() && !gainOrLossChart.hasFilter(d.data.key))
return d.data.key + "(0%)";
return d.data.key + "(" + Math.floor(d.data.value / all.value() * 100) + "%)";
}) /*
// (optional) whether chart should render labels, :default = true
.renderLabel(true)
// (optional) if inner radius is used then a donut chart will be generated instead of pie chart
.innerRadius(40)
// (optional) define chart transition duration, :default = 350
.transitionDuration(500)
// (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;})
*/;
quarterChart.width(180)
.height(180)
.radius(80)
.innerRadius(30)
.dimension(quarter)
.group(quarterGroup);
dayOfWeekChart.width(180)
.height(180)
.margins({top: 20, left: 10, right: 10, bottom: 20})
.group(dayOfWeekGroup)
.dimension(dayOfWeek)
.colors(['#3182bd', '#6baed6', '#9ecae1', '#c6dbef', '#dadaeb'])
.label(function (d) {
return d.key.split(".")[1];
})
.title(function (d) {
return d.value;
})
.elasticX(true)
.xAxis().ticks(4);
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)
.filterPrinter(function (filters) {
var filter = filters[0], s = "";
s += numberFormat(filter[0]) + "% -> " + numberFormat(filter[1]) + "%";
return s;
})
.xAxis()
.tickFormat(function (v) {
return v + "%";
});
fluctuationChart.yAxis().ticks(5);
moveChart.width(990)
.height(200)
.transitionDuration(1000)
.margins({top: 30, right: 50, bottom: 25, left: 40})
.dimension(moveMonths)
.mouseZoomable(true)
.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)
.legend(dc.legend().x(800).y(10).itemHeight(13).gap(5))
.brushOn(false)
.rangeChart(volumeChart)
.compose([
dc.lineChart(moveChart)
.group(indexAvgByMonthGroup, "Monthly Index Average")
.valueAccessor(function (d) {
return d.value.avg;
})
.renderArea(true)
.stack(monthlyMoveGroup, "Monthly Index Move", function (d) {
return d.value;
})
.title(function (d) {
var value = d.data.value.avg ? d.data.value.avg : d.data.value;
if (isNaN(value)) value = 0;
return dateFormat(d.data.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(1)
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2012, 11, 31)]))
.round(d3.time.month.round)
.xUnits(d3.time.months);
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();
}
);
// Determine the current version of dc with `dc.version`
d3.selectAll("#version").text(dc.version);