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October 1, 2015 05:39
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Evolution of Brussels municipalities water use
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>Line Chart with Multiple Lines</title> | |
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script> | |
<link href='http://fonts.googleapis.com/css?family=Abel:700,400,300' rel='stylesheet' type='text/css'> | |
<style type="text/css"> | |
body { | |
background-color: #01665e; | |
font-family: 'Abel', sans-serif; | |
color: #dfc27d; | |
padding-left: 20px; | |
padding-top: 20px; | |
} | |
h1 { | |
font-size: 30px; | |
padding-left: 90px; | |
} | |
h2 { | |
font-size: 18px; | |
padding-left: 90px; | |
} | |
p { | |
font-size: 14px; | |
margin: 10px 0 0 0; | |
} | |
svg { | |
background-color: #01665e; | |
} | |
circle:hover { | |
fill: orange; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: #80cdc1; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font-family: sans-serif; | |
font-size: 11px; | |
fill: #dfc27d; | |
} | |
.grid .tick{ | |
fill: none; | |
stroke: #80cdc1; | |
opacity: 0.1; | |
shape-rendering: crispEdges; | |
} | |
</style> | |
</head> | |
<body> | |
<h1>Water use of Brussels municipalities, a 25 year evolution </h1> | |
<h2>Water use, 1989-2014. Data were available from HYDROBRU (ex IBDE) archives and <a href="http://www.hydrobru.be/documents-a-telecharger/rapports-dactivites"style="color: #bf812d">activity reports</a></h2> | |
<script type="text/javascript"> | |
//Dimensions and padding | |
var w = 900; | |
var h = 700; | |
var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left | |
//Set up date formatting and years | |
var dateFormat = d3.time.format("%Y"); | |
//Set up scales | |
var xScale = d3.time.scale() | |
.range([ padding[3], w - padding[1] - padding[3] ]); | |
var yScale = d3.scale.linear() | |
.range([ padding[0], h - padding[2] ]); | |
//Configure axis generators | |
var xAxis = d3.svg.axis() | |
.scale(xScale) | |
.orient("bottom") | |
.ticks(15) | |
.tickFormat(function(d) { | |
return dateFormat(d); | |
}); | |
var yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("left"); | |
//Configure line generator | |
var line = d3.svg.line() | |
.x(function(d) { | |
return xScale(dateFormat.parse(d.year)); | |
}) | |
.y(function(d) { | |
return yScale(+d.amount); | |
}); | |
//Create the empty SVG image | |
var svg = d3.select("body") | |
.append("svg") | |
.attr("width", w) | |
.attr("height", h); | |
//Load data | |
d3.csv("wateruse.csv", function(data) { | |
//Data is loaded in, but we need to restructure it. | |
//Remember, each line requires an array of x/y pairs; | |
//that is, an array of arrays, like so: | |
// | |
// [ [x: 1, y: 1], [x: 2, y: 2], [x: 3, y: 3] ] | |
// | |
//We, however, are using 'year' as x and 'amount' as y. | |
//We also need to know which Municipality belongs to each | |
//line, so we will build an array of objects that is | |
//structured like this: | |
/* | |
[ | |
{ | |
Municipality: "Australia", | |
wateruse: [ | |
{ year: 1961, amount: 90589.568 }, | |
{ year: 1962, amount: 94912.961 }, | |
{ year: 1963, amount: 101029.517 }, | |
… | |
] | |
}, | |
{ | |
Municipality: "Bermuda", | |
wateruse: [ | |
{ year: 1961, amount: 176.016 }, | |
{ year: 1962, amount: 157.681 }, | |
{ year: 1963, amount: 150.347 }, | |
… | |
] | |
}, | |
… | |
] | |
*/ | |
//Note that this is an array of objects. Each object | |
//contains two values, 'Municipality' and 'wateruse'. | |
//The 'wateruse' value is itself an array, containing | |
//more objects, each one holding 'year' and 'amount' values. | |
//New array with all the years, for referencing later | |
var years = ["1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011","2012","2013","2014"]; | |
//Create a new, empty array to hold our restructured dataset | |
var dataset = []; | |
//Loop once for each row in data | |
for (var i = 0; i < data.length; i++) { | |
//Create new object with this Municipality's name and empty array | |
dataset[i] = { | |
Municipality: data[i].MunicipalityName, | |
wateruse: [] | |
}; | |
//Loop through all the years | |
for (var j = 0; j < years.length; j++) { | |
// If value is not empty | |
if (data[i][years[j]]) { | |
//Add a new object to the wateruse data array | |
//for this Municipality | |
dataset[i].wateruse.push({ | |
year: years[j], | |
amount: data[i][years[j]] | |
}); | |
} | |
} | |
} | |
//Uncomment to log the original data to the console | |
// console.log(data); | |
//Uncomment to log the newly restructured dataset to the console | |
// console.log(dataset); | |
//Set scale domains | |
xScale.domain([ | |
d3.min(years, function(d) { | |
return dateFormat.parse(d); | |
}), | |
d3.max(years, function(d) { | |
return dateFormat.parse(d); | |
}) | |
]); | |
yScale.domain([ | |
d3.max(dataset, function(d) { | |
return d3.max(d.wateruse, function(d) { | |
return +d.amount; | |
}); | |
}), | |
0 | |
]); | |
//Make a group for each Municipality | |
var groups = svg.selectAll("g") | |
.data(dataset) | |
.enter() | |
.append("g"); | |
//Append a title with the Municipality name (so we get easy tooltips) | |
groups.append("title") | |
.text(function(d) { | |
return d.Municipality; | |
}); | |
//Within each group, create a new line/path, | |
//binding just the wateruse data to each one | |
groups.selectAll("path") | |
.data(function(d) { | |
return [ d.wateruse ]; | |
}) | |
.enter() | |
.append("path") | |
.attr("class", "line") | |
.attr("d", line) | |
.attr("fill", "none") | |
.attr("stroke", "#deebf7") | |
.attr("stroke-width", 2); | |
//Axes | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate(0," + (h - padding[2]) + ")") | |
.call(xAxis); | |
svg.append("g") | |
.attr("class", "y axis") | |
.attr("transform", "translate(" + (padding[3]) + ",0)") | |
.call(yAxis); | |
// Adding tick lines grid | |
d3.selectAll("g.axis g.tick") | |
.append("line") | |
.attr("class", "grid") | |
.attr("x1", 0) | |
.attr("y1", 0) | |
.attr("x2", w - 200) | |
.attr("y2", 0); | |
// End tick lines grid | |
}); | |
//End USA data load function | |
</script> | |
</body> | |
</html> |
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MunicipalityName | Indicator | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anderlecht | water use | 4861582 | 3937911 | 3974461 | 3937683 | 4361144 | 4038612 | 4145250 | 4025105 | 4004317 | 4060709 | 4111353 | 4172702 | 4261314 | 4253635 | 4524935 | 4634342 | 4492482 | 4679047 | 4548298 | 4592428 | 4676621 | 4988495 | 5038882 | 4623219 | 4985242 | 4918427 | |
Auderghem | water use | 1510106 | 1519905 | 1479527 | 1577372 | 1498223 | 1594841 | 1592297 | 1526599 | 1482504 | 1477037 | 1490125 | 1491392 | 1478398 | 1489342 | 1518697 | 1483558 | 1455554 | 1437465 | 1475635 | 1458710 | 1421168 | 1412556 | 1479607 | 1506874 | 1447865 | 1477440 | |
Berchem-Sainte-Agathe | water use | 866980 | 796790 | 817238 | 923748 | 815483 | 793589 | 798147 | 883836 | 851619 | 805079 | 810172 | 830889 | 847872 | 823077 | 822262 | 845924 | 849874 | 796189 | 845539 | 837157 | 892890 | 850351 | 879988 | 873068 | 887951 | 893041 | |
Bruxelles | water use | 13950520 | 12016729 | 11579866 | 12075529 | 11339779 | 11835981 | 12300146 | 11460832 | 11295040 | 11195296 | 11231403 | 11809292 | 12039129 | 12126964 | 12584737 | 12835076 | 12049188 | 12062210 | 12181262 | 12273491 | 11872998 | 11287801 | 12429949 | 12660019 | 11976359 | 11474193 | |
Etterbeek | water use | 2083167 | 2125987 | 2206628 | 2166252 | 2083483 | 2202810 | 2198942 | 2201247 | 2145725 | 2123300 | 2191442 | 2243173 | 2207662 | 2196896 | 2307554 | 2291737 | 2285864 | 2259285 | 2163887 | 2175107 | 2189505 | 2338891 | 2186572 | 2267821 | 2168804 | 2310456 | |
Evere | water use | 1646626 | 1435545 | 1604591 | 1552755 | 1458288 | 1473521 | 1443038 | 1424539 | 1412472 | 1378773 | 1400474 | 1392430 | 1492993 | 1434850 | 1520653 | 1439276 | 1516052 | 1475409 | 1488189 | 1494125 | 1504437 | 1469436 | 1517539 | 1432724 | 1607681 | 1595260 | |
Forest | water use | 2707082 | 2222074 | 2277922 | 2450648 | 2344871 | 2407290 | 2435334 | 2360054 | 2268337 | 2266981 | 2236817 | 2252503 | 2381357 | 2432244 | 2480214 | 2486507 | 2503036 | 2444693 | 2360375 | 2339587 | 2308028 | 2471094 | 2340352 | 2278530 | 2483845 | 2332316 | |
Ganshoren | water use | 884131 | 825183 | 949502 | 885778 | 869210 | 850102 | 843570 | 859170 | 863988 | 842298 | 815407 | 835060 | 839388 | 854983 | 838441 | 865031 | 866356 | 855033 | 865468 | 862464 | 958823 | 784879 | 881029 | 893107 | 875849 | 892000 | |
Ixelles | water use | 4343448 | 4358424 | 4649523 | 4667125 | 4521196 | 4343487 | 4392226 | 4300686 | 4341433 | 4334647 | 4203168 | 4491931 | 4644349 | 4652584 | 4718581 | 4734465 | 4725991 | 4760422 | 4611566 | 4559421 | 4541635 | 4621258 | 4655469 | 4795059 | 4658527 | 4762115 | |
Jette | water use | 1773041 | 1838860 | 1873699 | 1777365 | 1699666 | 1787890 | 1805693 | 1728324 | 1685641 | 1697727 | 1727731 | 1723113 | 1764232 | 1811568 | 1843863 | 1839719 | 1880972 | 1808170 | 1823002 | 1817267 | 1896092 | 1967528 | 1875238 | 1841403 | 1975850 | 1992572 | |
Koekelberg | water use | 628518 | 658482 | 668116 | 713987 | 697607 | 699959 | 686045 | 710358 | 696180 | 654459 | 707001 | 710541 | 747961 | 756348 | 762239 | 801636 | 791432 | 795087 | 773747 | 786372 | 798242 | 797902 | 820188 | 835531 | 791382 | 862480 | |
Molenbeek-Saint-Jean | water use | 2944028 | 2876584 | 2999807 | 2990444 | 2965082 | 2978290 | 3125128 | 3147319 | 3080519 | 3087164 | 3141656 | 3269038 | 3374400 | 3429505 | 3526318 | 3679260 | 3623458 | 3571350 | 3542454 | 3571563 | 3717114 | 3786411 | 3758407 | 3797317 | 3501007 | 3771272 | |
Saint-Gilles | water use | 2482259 | 2357860 | 2589149 | 2593809 | 2547280 | 2388470 | 2421374 | 2479350 | 2496071 | 2410694 | 2454439 | 2542723 | 2663149 | 2689482 | 2687652 | 2763557 | 2736965 | 2691176 | 2653563 | 2708330 | 2884361 | 2383187 | 2624887 | 2741386 | 2693971 | 2763763 | |
Saint-Josse-ten-Noode | water use | 1547882 | 1237597 | 1315235 | 1281709 | 1223822 | 1292705 | 1313264 | 1299726 | 1238876 | 1248880 | 1284297 | 1326205 | 1404681 | 1400582 | 1469081 | 1465061 | 1446977 | 1452816 | 1493107 | 1522142 | 1476585 | 1642319 | 1420569 | 1448053 | 1531589 | 1545374 | |
Schaerbeek | water use | 4167323 | 4522223 | 4876460 | 4804383 | 4906441 | 5226039 | 4511863 | 4716722 | 4807469 | 4787827 | 4579931 | 4942519 | 5206398 | 5136830 | 5159965 | 5278309 | 5403191 | 5415650 | 5209939 | 5372306 | 6087278 | 4719953 | 5644297 | 5535867 | 5360875 | 5486022 | |
Uccle | water use | 4596141 | 4632503 | 4492998 | 4528563 | 4510916 | 4034294 | 4323555 | 4322945 | 4163600 | 4161906 | 4111971 | 4126117 | 4188861 | 4206717 | 4212988 | 4194550 | 4031131 | 4041981 | 3962552 | 3723563 | 3885978 | 3876165 | 3872654 | 3975212 | 3779824 | 4003251 | |
Watermael-Boitsfort | water use | 1270028 | 1247020 | 1260045 | 1311469 | 1214171 | 1038347 | 1596997 | 1188657 | 1176687 | 1222092 | 1216445 | 1290324 | 1266235 | 1263177 | 1229035 | 1188312 | 1277509 | 1208216 | 1147357 | 958034 | 1275564 | 918899 | 1204976 | 1483048 | 1141538 | 1050626 | |
Woluwe-Saint-Lambert | water use | 2794591 | 2675743 | 2700898 | 2627121 | 2722689 | 2671196 | 2661375 | 2557638 | 2593959 | 2464719 | 2536569 | 2479470 | 2571132 | 2532272 | 2575661 | 2542293 | 2534257 | 2512370 | 2558364 | 2489308 | 2506886 | 2571450 | 2485042 | 2555264 | 2639277 | 2601952 | |
Woluwe-Saint-Pierre | water use | 1985892 | 2162534 | 2206476 | 2201991 | 2198604 | 1970470 | 2165954 | 2152081 | 2047100 | 2064307 | 2059608 | 2106181 | 2112390 | 2060712 | 2093147 | 2122111 | 2032638 | 2023954 | 2021962 | 1931960 | 1971863 | 1942611 | 1898242 | 1922910 | 1923506 | 1899310 |
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