Countries with the requisite data to calculate approximate centenarians per 100,000 people according to the Guardian Datablog’s sources. See: http://www.theguardian.com/news/datablog/2013/sep/27/super-old-how-many-centena and make a better visualization!
This was my first d3.js usage of Tool tips. Keep your pointer/mouse thing over a bar to check em out.
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis {
font: 9px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
stroke:black;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 1100 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .4);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10);
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("./data_vsvzs.csv", type, function(error, data) {
x.domain(data.map(function(d) { return d.country; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
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("Centenarians per 100,000 of Population");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.country); })
.attr("width", x.rangeBand()+ 5)
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); })
});
function type(d) {
d.frequency = +d.number_per_100_000_of_the_population; //makin it a num
return d;
}
</script>
country,number_per_100_000_of_the_population,the_geom,cartodb_id,created_at,updated_at
Japan,1197,,1,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Sweden,995,,2,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Italy,908,,3,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
France,887,,4,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Norway,813,,6,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Spain,778,,7,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Denmark,720,,8,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Finland,710,,9,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
United States,666,,10,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Australia,633,,11,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Germany,592,,12,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
New Zealand,573,,13,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Iceland,499,,14,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Slovenia,452,,15,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Czech Republic,377,,16,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Bulgaria,351,,17,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
Croatia,302,,18,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
China,121,,19,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
India,58,,20,2013-09-27 14:54:45.614155,2013-09-27 14:54:45.862011
United Kingdom,823,,5,2013-09-27 14:54:45.614155,2013-09-27 15:05:18.652213