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September 19, 2015 07:34
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>Creating SVG Elements from Data</title> | |
<script type="text/javascript" src="../../d3.v3.js"></script> | |
<style type="text/css"> | |
body { | |
background-color: #dddddff; | |
font-family: Helvetica, Arial, sans-serif; | |
} | |
h1 { | |
font-size: 24px; | |
margin: 0; | |
} | |
p { | |
font-size: 14px; | |
margin: 10px 0 0 0; | |
} | |
svg { | |
background-color: while; | |
} | |
rect:hover { | |
fill: orange; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
font-family: sans-serif; | |
font-size: 11px; | |
} | |
.y.axis path, | |
.y.axis line { | |
opacity: 0; | |
} | |
</style> | |
</head> | |
<body> | |
<p><h2>The National Commercial Housing Price of China Since 2000 (RMB/m2)</h2></p> | |
<script type="text/javascript"> | |
var w = 70; | |
var h = 100; | |
var padding = [50, 20, 20, 160 ]; | |
var widthScale = d3.scale.linear() | |
.range([0,w - padding [1] - padding[3]]); | |
var heightScale = d3.scale.ordinal() | |
.rangeRoundBands([ Padding[0], h - padding[2]], 0.1); | |
var xAxis = d3.svg.axis() | |
.scale(widthScale) | |
.orient("bottom"); | |
var yAxis = d3.svg.axis() | |
.scale(heightScale) | |
.orient("left"); | |
var svg = d3.select("body") | |
.append("svg") | |
.attr("width", w) | |
.attr("height", h); | |
d3.csv("thenationalcommercialhousingpriceofChinasince2000.csv", function(data) { | |
data.sort(function(a, b) { | |
return d3.descending(+a.commercialHousingAverageSellingPrice, +b.commercialHousingAverageSellingPrice); | |
}); | |
widthScale.domain([ 0, d3.max(data, function(d) { | |
return +d.commercialHousingAverageSellingPrice*0.01; | |
}) ]); | |
heightScale.domain(data.map(function(d) { return d.year; } )); | |
var rects = svg.selectAll("rect") | |
.data(data) | |
.enter() | |
.append("rect"); | |
rects.attr("x", padding[3]) | |
.attr("y", function(d) { | |
return heightScale(d.year); | |
}) | |
.attr("width", function(d) { | |
return widthScale(d.commercialHousingAverageSellingPrice*0.01); | |
}) | |
.attr("height", heightScale.rangeBand()) | |
.attr("fill", "green") | |
.append("title") | |
.text(function(d) { | |
return d.year + "'s commerical housing average price is " + d.commercialHousingAverageSellingPrice; | |
}); | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate(" + padding[3] + "," + (h - padding[2]) + ")") | |
.call(xAxis); | |
svg.append("g") | |
.attr("class", "y axis") | |
.attr("transform", "translate(" + padding[3] + ",0)") | |
.call(yAxis); | |
}); | |
</script> | |
</body> | |
</html> |
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year | commercialHousingAverageSellingPrice | ||
---|---|---|---|
2013 | 6237 | ||
2012 | 5790 | ||
2011 | 5357 | ||
2010 | 5032 | ||
2009 | 4681 | ||
2008 | 3800 | ||
2007 | 3863 | ||
2006 | 3366 | ||
2005 | 3167 | ||
2004 | 2778 | ||
2003 | 2359 | ||
2002 | 2250 | ||
2001 | 2170 | ||
2000 | 2112 |
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