Skip to content

Instantly share code, notes, and snippets.

@rsimmon
Last active November 29, 2015 20:57
Show Gist options
  • Save rsimmon/151ce775dd71de00bcf9 to your computer and use it in GitHub Desktop.
Save rsimmon/151ce775dd71de00bcf9 to your computer and use it in GitHub Desktop.
Energy Consumption Overview, Appropriated from Bostock
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
</style>
<body>
<div>
<h1>Energy Consumption Overview: Estimates by Energy Source, 2013</h1>
<p>Stacked bar graph <a href="http://bl.ocks.org/mbostock/3886208">shamelessly copied</a> from Mike Bostock. I didn't even use the stacked layout! (I need to learn some Javascript or refresh my Python skills first.) Energy consumption <a href="http://www.eia.gov/state/seds/data.cfm?incfile=/state/seds/sep_sum/html/sum_btu_1.html">data</a> from the U.S. Energy Information Administration.<p>
<p>I was <em>intending</em> to show the breakdown of goal scoring for each of the 30 NHL teams during the 2014-15 season, but could not figure out how to properly format the unequal number of players who scored goals for each team.</p>
</div>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.csv("state_energy_use_by_sector_abbreviation.csv", function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "State"; }));
data.forEach(function(d) {
var y0 = 0;
d.energy = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.energy[d.energy.length - 1].y1;
});
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { return d.State; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Energy Consumption (Trillions of Btu)");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.energy; })
.enter().append("rect")
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
</script>
State Coal Natural Gas Petroleum Nuclear Electric Power Renewable Energy
AL 565.1 628.5 508.0 426.5 317.7
AK 14.8 333.0 240.7 0.0 20.4
AZ 454.9 340.6 493.8 328.4 122.9
AR 327.1 288.2 317.8 124.8 121.8
CA 38.2 2483.5 3246.6 187.2 872.6
CO 363.5 481.9 459.2 0.0 123.1
CT 7.7 240.1 307.4 178.5 40.9
DE 18.3 100.7 95.2 0.0 7.5
DC 0.0 33.8 14.8 0.0 1.2
FL 505.2 1245.2 1527.3 277.2 315.5
GA 426.2 634.8 880.0 343.8 270.4
HI 15.3 0.2 233.0 0.0 28.6
ID 8.0 107.1 158.7 0.0 139.6
IL 1026.9 1063.7 1195.0 1014.9 234.6
IN 1198.6 680.3 759.1 0.0 150.0
IA 402.4 306.5 414.2 55.6 384.7
KS 326.8 289.0 405.8 74.9 131.9
KY 914.8 236.0 570.8 0.0 89.5
LA 228.1 1500.5 1695.3 177.2 138.4
ME 1.7 65.9 182.7 0.0 161.4
MD 183.2 209.3 463.8 149.0 78.0
MA 42.2 454.5 547.7 45.3 81.0
MI 658.2 832.1 823.4 302.2 195.5
MN 267.7 478.8 583.4 111.9 233.7
MS 97.8 428.4 420.5 113.5 70.2
MO 806.5 281.5 610.7 87.4 94.5
MT 166.1 82.3 169.0 0.0 117.7
NE 293.0 179.6 233.4 71.7 136.3
NV 64.8 282.3 219.7 0.0 75.6
NH 16.8 55.6 141.2 114.2 58.0
NJ 25.9 713.1 968.9 348.8 89.0
NM 256.4 253.0 250.2 0.0 45.3
NY 68.7 1321.6 1235.9 467.7 410.2
NC 493.8 445.0 789.3 420.5 220.3
ND 393.2 83.8 217.8 0.0 97.4
OH 1104.5 946.0 1126.0 168.5 148.0
OK 335.9 683.1 520.5 0.0 170.0
OR 38.9 244.3 329.6 0.0 464.5
PA 1126.1 1146.6 1168.0 822.5 216.6
RI 0.0 88.6 77.8 0.0 5.7
SC 257.3 236.9 482.6 566.9 144.8
SD 34.2 84.5 113.6 0.0 127.7
TN 399.8 286.1 661.8 297.7 218.3
TX 1597.4 4137.4 6163.9 400.4 552.2
UT 355.2 258.9 282.5 0.0 24.7
VT 0.0 9.7 75.2 50.6 36.1
VA 290.5 433.5 784.4 306.4 146.9
WA 75.0 328.0 713.2 88.4 933.1
WV 771.2 151.3 184.8 0.0 60.0
WI 454.6 450.2 504.9 122.0 169.0
WY 520.7 156.2 159.1 0.0 54.5
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment