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Last active September 23, 2015 07:57
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Grisons boost in tourism
Raw
README.md

The chart shows a impressive increase of tourist arrivals in Grisons beginning in the year 2011. The Canton of Grisons managed to almost triple the arrivals of Swiss tourists. Furthermore, we see that before 2011 only few Japanese tourist visited Grisons. Nowadays, Grisons welcomes Japanese tourist during the Summer. Another interesting observation is the fact that Swiss tourist prefer Winter holidays whereas Japanese tourists prefer the Summer over the Winter.

Raw
index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>MOdule6</title>
<script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script>
<style type="text/css">
body {
background-color: white;
font-family: Helvetica, Arial, sans-serif;
}
h1 {
font-size: 24px;
margin: 0;
}
p {
font-size: 14px;
margin: 10px 0 0 0;
}
svg {
background-color: white;
}
circle:hover {
fill: orange;
}
path {
fill: lightblue;
stroke: none;
opacity: 0.6;
}
g.highlight path {
fill: orange;
opacity: 0.7;
}
.axis path,
.axis line {
fill: none;
stroke: black;
stroke-width: 1;
opacity: 1;
shape-rendering: crispEdges;
}
.axis text {
font-family: sans-serif;
font-size: 11px;
}
</style>
</head>
<body>
<p>Grisons tourist boost in 2011 and seasonality <br>Source: <a href="http://www.bfs.admin.ch/bfs/portal/de/index/themen/10.html">BFS Schweiz</a>, 2015</p>
<script type="text/javascript">
//Dimensions and padding
var w = 1000;
var h = 400;
var padding = [ 20, 10, 50, 100 ]; //Top, right, bottom, left
//Set up date formatting and years
var dateFormat = d3.time.format("%b%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(5)
.tickSize(16,0)
.tickFormat(function(d) {
return dateFormat(d);
});
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left");
//Configure area generator
var area = d3.svg.area()
.x(function(d) {
return xScale(dateFormat.parse(d.year));
})
.y0(h - padding[2])
.y1(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 USA data
d3.csv("swiss tourism6.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 country belongs to each
//line, so we will build an array of objects that is
//structured like this:
/*
[
{
country: "Australia",
emissions: [
{ year: 1961, amount: 90589.568 },
{ year: 1962, amount: 94912.961 },
{ year: 1963, amount: 101029.517 },
…
]
},
{
country: "Bermuda",
emissions: [
{ 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, 'country' and 'emissions'.
//The 'emissions' 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 = ["Jun09", "Dec09","Jun10", "Dec10","Jun11", "Dec11","Jun12", "Dec12","Jun13", "Dec13","Jun14", "Dec14", "Jun15"];
//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] = {
country: data[i].countryoforigin,
arrivals: []
};
//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 emissions data array
//for this country
dataset[i].arrivals.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.arrivals, function(d) {
return +d.amount;
});
}),
0
]);
//Make a group for each country
var groups = svg.selectAll("g")
.data(dataset)
.enter()
.append("g")
.classed("highlight", function(d) {
if (d.country == "Japan") {
return true;
} else {
return false;
}
});
//Append a title with the country name (so we get easy tooltips)
groups.append("title")
.text(function(d) {
return d.country;
});
//Within each group, create a new line/path,
//binding just the emissions data to each one
groups.selectAll("path")
.data(function(d) {
return [ d.arrivals ];
})
.enter()
.append("path")
.attr("class", "area")
.attr("d", area);
//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);
});
//End USA data load function
</script>
</body>
</html>
Raw
swiss tourism6.csv
countryoforigin Jun09 Dec09 Jun10 Dec10 Jun11 Dec11 Jun12 Dec12 Jun13 Dec13 Jun14 Dec14 Jun15
Switzerland 23426 21506 22634 24677 80735 91987 82539 99184 73429 102293 78772 105066 70784
Japan 526 454 554 525 5556 157 6022 185 6726 194 4634 161 3551
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