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@hollyhudson
Forked from mbostock/.block
Created January 8, 2018 11:35
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Bar Chart
license: gpl-3.0

This simple bar chart is constructed from a TSV file storing the frequency of letters in the English language. The chart employs conventional margins and a number of D3 features:

letter frequency
A .08167
B .01492
C .02782
D .04253
E .12702
F .02288
G .02015
H .06094
I .06966
J .00153
K .00772
L .04025
M .02406
N .06749
O .07507
P .01929
Q .00095
R .05987
S .06327
T .09056
U .02758
V .00978
W .02360
X .00150
Y .01974
Z .00074
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis--x path {
display: none;
}
</style>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.1),
y = d3.scaleLinear().rangeRound([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.tsv("data.tsv", function(d) {
d.frequency = +d.frequency;
return d;
}, function(error, data) {
if (error) throw error;
x.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(10, "%"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.letter); })
.attr("y", function(d) { return y(d.frequency); })
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d.frequency); });
});
</script>
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