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dashboard.html
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dashboard.html
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<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
width: 1060px;
margin: 50px auto;
}
path {
stroke: #fff;
}
path:hover {
opacity: 0.9;
}
rect:hover {
fill: blue;
}
.axis {
font: 10px sans-serif;
}
.legend tr {
border-bottom: 1px solid grey;
}
.legend tr:first-child {
border-top: 1px solid grey;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
.legend {
margin-bottom: 76px;
display: inline-block;
border-collapse: collapse;
border-spacing: 0px;
}
.legend td {
padding: 4px 5px;
vertical-align: bottom;
}
.legendFreq,
.legendPerc {
align: right;
width: 50px;
}
</style>
<body>
<div id='dashboard'>
</div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
function dashboard(id, fData) {
var barColor = 'steelblue';
function segColor(c) {
return {
low: "#807dba",
mid: "#e08214",
high: "#41ab5d"
} [c];
}
// compute total for each state.
fData.forEach(function(d) {
d.total = d.freq.low + d.freq.mid + d.freq.high;
});
// function to handle histogram.
function histoGram(fD) {
var hG = {},
hGDim = {
t: 60,
r: 0,
b: 30,
l: 0
};
hGDim.w = 500 - hGDim.l - hGDim.r,
hGDim.h = 300 - hGDim.t - hGDim.b;
//create svg for histogram.
var hGsvg = d3.select(id).append("svg")
.attr("width", hGDim.w + hGDim.l + hGDim.r)
.attr("height", hGDim.h + hGDim.t + hGDim.b).append("g")
.attr("transform", "translate(" + hGDim.l + "," + hGDim.t + ")");
// create function for x-axis mapping.
var x = d3.scale.ordinal().rangeRoundBands([0, hGDim.w], 0.1)
.domain(fD.map(function(d) {
return d[0];
}));
// Add x-axis to the histogram svg.
hGsvg.append("g").attr("class", "x axis")
.attr("transform", "translate(0," + hGDim.h + ")")
.call(d3.svg.axis().scale(x).orient("bottom"));
// Create function for y-axis map.
var y = d3.scale.linear().range([hGDim.h, 0])
.domain([0, d3.max(fD, function(d) {
return d[1];
})]);
// Create bars for histogram to contain rectangles and freq labels.
var bars = hGsvg.selectAll(".bar").data(fD).enter()
.append("g").attr("class", "bar");
//create the rectangles.
bars.append("rect")
.attr("x", function(d) {
return x(d[0]);
})
.attr("y", function(d) {
return y(d[1]);
})
.attr("width", x.rangeBand())
.attr("height", function(d) {
return hGDim.h - y(d[1]);
})
.attr('fill', barColor)
.on("mouseover", mouseover) // mouseover is defined below.
.on("mouseout", mouseout); // mouseout is defined below.
//Create the frequency labels above the rectangles.
bars.append("text").text(function(d) {
return d3.format(",")(d[1])
})
.attr("x", function(d) {
return x(d[0]) + x.rangeBand() / 2;
})
.attr("y", function(d) {
return y(d[1]) - 5;
})
.attr("text-anchor", "middle");
function mouseover(d) { // utility function to be called on mouseover.
// filter for selected state.
var st = fData.filter(function(s) {
return s.State == d[0];
})[0],
nD = d3.keys(st.freq).map(function(s) {
return {
type: s,
freq: st.freq[s]
};
});
// call update functions of pie-chart and legend.
pC.update(nD);
leg.update(nD);
}
function mouseout(d) { // utility function to be called on mouseout.
// reset the pie-chart and legend.
pC.update(tF);
leg.update(tF);
}
// create function to update the bars. This will be used by pie-chart.
hG.update = function(nD, color) {
// update the domain of the y-axis map to reflect change in frequencies.
y.domain([0, d3.max(nD, function(d) {
return d[1];
})]);
// Attach the new data to the bars.
var bars = hGsvg.selectAll(".bar").data(nD);
// transition the height and color of rectangles.
bars.select("rect").transition().duration(500)
.attr("y", function(d) {
return y(d[1]);
})
.attr("height", function(d) {
return hGDim.h - y(d[1]);
})
.attr("fill", color);
// transition the frequency labels location and change value.
bars.select("text").transition().duration(500)
.text(function(d) {
return d3.format(",")(d[1])
})
.attr("y", function(d) {
return y(d[1]) - 5;
});
}
return hG;
}
// function to handle pieChart.
function pieChart(pD) {
var pC = {},
pieDim = {
w: 250,
h: 250
};
pieDim.r = Math.min(pieDim.w, pieDim.h) / 2;
// create svg for pie chart.
var piesvg = d3.select(id).append("svg")
.attr("width", pieDim.w).attr("height", pieDim.h).append("g")
.attr("transform", "translate(" + pieDim.w / 2 + "," + pieDim.h / 2 + ")");
// create function to draw the arcs of the pie slices.
var arc = d3.svg.arc().outerRadius(pieDim.r - 10).innerRadius(0);
// create a function to compute the pie slice angles.
var pie = d3.layout.pie().sort(null).value(function(d) {
return d.freq;
});
// Draw the pie slices.
piesvg.selectAll("path").data(pie(pD)).enter().append("path").attr("d", arc)
.each(function(d) {
this._current = d;
})
.style("fill", function(d) {
return segColor(d.data.type);
})
.on("mouseover", mouseover).on("mouseout", mouseout);
// create function to update pie-chart. This will be used by histogram.
pC.update = function(nD) {
piesvg.selectAll("path").data(pie(nD)).transition().duration(500)
.attrTween("d", arcTween);
}
// Utility function to be called on mouseover a pie slice.
function mouseover(d) {
// call the update function of histogram with new data.
hG.update(fData.map(function(v) {
return [v.State, v.freq[d.data.type]];
}), segColor(d.data.type));
}
//Utility function to be called on mouseout a pie slice.
function mouseout(d) {
// call the update function of histogram with all data.
hG.update(fData.map(function(v) {
return [v.State, v.total];
}), barColor);
}
// Animating the pie-slice requiring a custom function which specifies
// how the intermediate paths should be drawn.
function arcTween(a) {
var i = d3.interpolate(this._current, a);
this._current = i(0);
return function(t) {
return arc(i(t));
};
}
return pC;
}
// function to handle legend.
function legend(lD) {
var leg = {};
// create table for legend.
var legend = d3.select(id).append("table").attr('class', 'legend');
// create one row per segment.
var tr = legend.append("tbody").selectAll("tr").data(lD).enter().append("tr");
// create the first column for each segment.
tr.append("td").append("svg").attr("width", '16').attr("height", '16').append("rect")
.attr("width", '16').attr("height", '16')
.attr("fill", function(d) {
return segColor(d.type);
});
// create the second column for each segment.
tr.append("td").text(function(d) {
return d.type;
});
// create the third column for each segment.
tr.append("td").attr("class", 'legendFreq')
.text(function(d) {
return d3.format(",")(d.freq);
});
// create the fourth column for each segment.
tr.append("td").attr("class", 'legendPerc')
.text(function(d) {
return getLegend(d, lD);
});
// Utility function to be used to update the legend.
leg.update = function(nD) {
// update the data attached to the row elements.
var l = legend.select("tbody").selectAll("tr").data(nD);
// update the frequencies.
l.select(".legendFreq").text(function(d) {
return d3.format(",")(d.freq);
});
// update the percentage column.
l.select(".legendPerc").text(function(d) {
return getLegend(d, nD);
});
}
function getLegend(d, aD) { // Utility function to compute percentage.
return d3.format("%")(d.freq / d3.sum(aD.map(function(v) {
return v.freq;
})));
}
return leg;
}
// calculate total frequency by segment for all state.
var tF = ['low', 'mid', 'high'].map(function(d) {
return {
type: d,
freq: d3.sum(fData.map(function(t) {
return t.freq[d];
}))
};
});
// calculate total frequency by state for all segment.
var sF = fData.map(function(d) {
return [d.State, d.total];
});
var hG = histoGram(sF), // create the histogram.
pC = pieChart(tF), // create the pie-chart.
leg = legend(tF); // create the legend.
}
</script>
<script>
var freqData = [{
State: 'AL',
freq: {
low: 4786,
mid: 1319,
high: 249
}
}, {
State: 'AZ',
freq: {
low: 1101,
mid: 412,
high: 674
}
}, {
State: 'CT',
freq: {
low: 932,
mid: 2149,
high: 418
}
}, {
State: 'DE',
freq: {
low: 832,
mid: 1152,
high: 1862
}
}, {
State: 'FL',
freq: {
low: 4481,
mid: 3304,
high: 948
}
}, {
State: 'GA',
freq: {
low: 1619,
mid: 167,
high: 1063
}
}, {
State: 'IA',
freq: {
low: 1819,
mid: 247,
high: 1203
}
}, {
State: 'IL',
freq: {
low: 4498,
mid: 3852,
high: 942
}
}, {
State: 'IN',
freq: {
low: 797,
mid: 1849,
high: 1534
}
}, {
State: 'KS',
freq: {
low: 162,
mid: 379,
high: 471
}
}];
dashboard('#dashboard', freqData);
</script>