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<meta charset="utf-8">
<title>NZ National Parks</title>
<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
<link href="natparks.css" rel="stylesheet" type="text/css"/>
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<h1>National Park visitorship in the land of the long white cloud</h1>
<p>They have some superb National Parks over there. You should go sometime.</p>
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<div class="clear"></div>
<script type="text/javascript">
//Dimensions and padding
var w = 700;
var h = 600;
var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left
//Set up date formatting and years
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var yScale = d3.scale.linear()
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var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom")
.tickFormat(function(d) {
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.orient("left");
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.x(function(d) {
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.y(function(d) {
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//Load data
d3.csv("NZNationalParks.csv", function(data) {
//This was a really good way of making an array of years when I had the data in its original format. Unfortunately, I've now transposed it
/*var years = [];
data.map(function(d) {
years.push(d.calendarYear);
});*/
var years = d3.keys(data[0]).filter(function(head) {
return head != "NP";
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//console.log(years);
//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 country's name and empty array
dataset[i] = {
park: data[i].NP,
visitors: []
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//Loop through all the years
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// If value is not empty
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//Add a new object to the visitors data array
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dataset[i].visitors.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.visitors, function(d) {
return +d.amount;
});
}),
0
]);
//Make a group for each country
var groups = svg.selectAll("g")
.data(dataset)
.enter()
.append("g")
.attr("class", (function(d) { return d.park; }));
//Append a title with the country name (so we get easy tooltips)
groups.append("title")
.text(function(d) {
return d.park;
});
//Within each group, create a new line/path,
//binding just the visitors data to each one
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.data(function(d) {
return [ d.visitors ];
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.enter()
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.attr("d", line);
//Label each line!
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.attr("x", w - padding[3] - 4)
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//Get the last value in the array
//(e.g., the right-most point on each line)
var lastValue = d.visitors[d.visitors.length - 1].amount;
//Position this label vertically, relative to that point
//…making exceptions for Paparoa and Tongariro, because
//they share the same value
if (d.park == "Paparoa") {
return yScale(lastValue) + 8;
} else if (d.park == "Tongariro") {
return yScale(lastValue) - 5;
} else {
return yScale(lastValue) + 2;
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.text(function(d) {
console.log(d);
return d.park;
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//Axes
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.call(yAxis);
//Legend
// var legend = d3.select("#legend").append("svg")
// .attr("width", 300)
// .attr("height", 120);
// legend.selectAll("line")
// .data(data)
// .enter()
// .append("line")
// .attr("x1", 0)
// .attr("x2", 20)
// .attr("y1", function(d, i){return i * 20 + 5;})
// .attr("y2", function(d, i){return i * 20 + 5;})
// .attr("class", function(d){return d.NP;});
// legend.selectAll("text")
// .data(data)
// .enter()
// .append("text")
// .attr("x", 25)
// .attr("y", function(d, i){return i * 20 + 8;})
// .text(function(d){return d.NP;});
});
</script>
<div id="attribution"><p>Source: <a href="https://www.doc.govt.nz/about-us/our-role/managing-conservation/recreation-management/visitor-statistics-and-research/national-parks-visitor-statistics/">NZ Department of Conservation</a>, 2014</p></p></div>
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Modified http://d3js.org/d3.v3.js to a secure url
https://d3js.org/d3.v3.js