Sortable D3.js small multiple bar charts for the 2017 UK GE results.
Data from FT. Uses d3-tip for tooltips.
Open in full browser mode to see all 632 constituency results
forked from officeofjane's block: Small multiple bar charts with tooltips
forked from tlfrd's block: Small Multiple Bar Charts UK GE 2017
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<html>
<meta charset="utf-8">
<head>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="d3-tip.js"></script>
<style type="text/css">
body {
font: 11px sans-serif;
margin: 10px;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar:hover {
fill: #bcbcbc ;
}
.x.axis path {
display: none;
}
</style>
</head>
<body>
Sort by
<a href="#" class="sort-btn" data-sort="Cons">Conservative</a> /
<a href="#" class="sort-btn" data-sort="Lab">Labour</a> /
<a href="#" class="sort-btn" data-sort="LD">Lib Dems</a> /
<a href="#" class="sort-btn" data-sort="Gre">Greens</a> /
<a href="#" class="sort-btn" data-sort="PC">Plaid Cymru</a> /
<a href="#" class="sort-btn" data-sort="SNP">SNP</a> /
<a href="#" class="sort-btn" data-sort="UKIP">UKIP</a>
<div id="vis"></div>
<script type="text/javascript">
// need to switch to d3v4 and use ES6 where possible for mapping data
var margin = {top: 45, right: 100, bottom: 20, left: 20},
width = 300 - margin.left - margin.right,
height = 110 - margin.top - margin.bottom;
var barWidth = 50;
var formatPercent = d3.format(".0%");
var dataUrl = "https://raw.githubusercontent.com/ft-interactive/ge2017-dataset/master/financialTimes_ge2017_dataset.csv";
var partyColours = {
"Cons": "#0087dc",
"Gre": "#008066",
"Lab": "#d50000",
"LD": "#FDBB30",
"PC": "#3F8428",
"SNP": "#FFF95D",
"UKIP": "#B3009D"
};
var x = d3.scaleBand()
.range([0, width])
.round(0.1);
// Scales. Note the inverted domain fo y-scale: bigger is up!
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom()
.scale(x);
var yAxis = d3.axisLeft()
.scale(y)
.tickFormat(formatPercent);
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-1, 0])
.html(function(d) {
return Math.round(d.percent) + "%";
})
var nestedGeData = [];
d3.selectAll(".sort-btn")
.on("click", function(d) {
d3.event.preventDefault();
sortByParty(this.dataset.sort);
});
d3.csv(dataUrl, function(geData) {
var parties = [
"Cons",
"Gre",
"Lab",
"LD",
"PC",
"SNP",
"UKIP"
]
geData.forEach(function(g) {
var key = g.PCON15CD;
var seat = g.seat;
var values = [];
if (g.con_PC_2017 !== "NA") {
values.push({
"party": "Cons",
"percent": +g.con_PC_2017
});
}
if (g.green_PC_2017 !== "NA") {
values.push({
"party": "Gre",
"percent": +g.green_PC_2017
});
}
if (g.lab_PC_2017 !== "NA") {
values.push({
"party": "Lab",
"percent": +g.lab_PC_2017
});
}
if (g.ld_PC_2017 !== "NA") {
values.push({
"party": "LD",
"percent": +g.ld_PC_2017
});
}
if (g.pc_PC_2017 !== "NA") {
values.push({
"party": "PC",
"percent": +g.pc_PC_2017
});
}
if (g.snp_PC_2017 !== "NA") {
values.push({
"party": "SNP",
"percent": +g.snp_PC_2017
});
}
if (g.ukip_PC_2017 !== "NA") {
values.push({
"party": "UKIP",
"percent": +g.ukip_PC_2017
});
}
nestedGeData.push({
"key": key,
"seat": seat,
"values": values
})
});
x.domain(parties);
y.domain([0, 100]);
var svg = d3.select("#vis").selectAll("svg")
.data(nestedGeData)
.enter()
.append("svg:svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.each(multiple);
svg.append("g")
// Hide y axis
// .attr("class", "y axis")
// .call(yAxis)
.append("text")
.attr("x", 0)
.attr("y", 0)
.attr("dy", "-1em")
.attr("text-anchor", "start")
.attr("font-size", "1.1em")
.text(function(d) { return d.seat});
svg.call(tip);
});
function multiple(constituency) {
var svg = d3.select(this);
var x = d3.scaleBand();
var sortedValues = constituency.values.sort(function(a, b) {
return b.percent - a.percent;
});
x.domain(sortedValues.map(function(d) { return d.party; }))
var calculatedWidth = barWidth * (x.domain().length - 1);
x.range([0, calculatedWidth])
.round(0.1);
var xAxis = d3.axisBottom()
.scale(x);
var yAxis = d3.axisLeft()
.scale(y)
.tickFormat(formatPercent);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.selectAll(".bar")
.data(function(d) { return d.values; })
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.party); })
.attr("width", x.bandwidth())
.attr("y", function(d) { return y(d.percent); })
.attr("height", function(d) { return height - y(d.percent); })
.attr("fill", function(d) {return partyColours[d.party]})
.on('mouseover', tip.show)
.on('mouseout', tip.hide);
}
function sortByParty(partyName) {
d3.selectAll("svg").remove();
var filteredData = nestedGeData.filter(function(a) {
for (var i in a.values) {
if (a.values[i].party === partyName) {
return true;
}
}
return false;
});
var nestedGeDataSorted = filteredData.sort(function(a, b) {
var aPc;
var bPc;
for (var i in a.values) {
if (a.values[i].party === partyName) {
aPc = a.values[i].percent;
}
}
for (var i in b.values) {
if (b.values[i].party === partyName) {
bPc = b.values[i].percent;
}
}
return bPc - aPc;
});
var svg = d3.select("#vis").selectAll("svg")
.data(nestedGeDataSorted)
.enter()
.append("svg:svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.each(multiple);
svg.append("g")
// Hide y axis
// .attr("class", "y axis")
// .call(yAxis)
.append("text")
.attr("x", 0)
.attr("y", 0)
.attr("dy", "-1em")
.attr("text-anchor", "start")
.attr("font-size", "1.1em")
.text(function(d) { return d.seat});
}
</script>
</body>
</html>
Modified http://d3js.org/d3.v4.min.js to a secure url
https://d3js.org/d3.v4.min.js