Last active
November 18, 2015 14:46
-
-
Save mbaba/814bd621771a381becd0 to your computer and use it in GitHub Desktop.
Map of polish voivodeships (unemplyment rate)
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<script type="text/javascript" src="//d3js.org/d3.v3.min.js"></script> | |
<link href='https://fonts.googleapis.com/css?family=Lato:400,100,300,400italic,900,700,100italic,300italic,700italic,900italic&subset=latin,latin-ext' rel='stylesheet' type='text/css'> | |
<link rel="stylesheet" type="text/css" href="main.css"> | |
<title>Voivodeships of Poland</title> | |
</head> | |
<body> | |
<div id="wrapper"> | |
<div class="text"> | |
<h1>Voivodeships of Poland</h1> | |
</div> | |
<script type="text/javascript"> | |
d3.select("div", "#wrapper") | |
.append("div") | |
.attr("id", "content"); | |
var margin = {top: 5, right: 25, bottom: 5, left: 5}; | |
var width = 900 - margin.left - margin.right, | |
height = 750 - margin.top - margin.bottom; | |
var projection = d3.geo.mercator() | |
.center([22, 51]) | |
.translate([ width/2, height/2 ]) | |
.scale(3000); | |
var path = d3.geo.path() | |
.projection(projection); | |
var mapColor = d3.scale.quantize() | |
.range(["#ffffb2", | |
"#fed98e", | |
"#fe9929", | |
"#d95f0e", | |
"#993404"]) | |
.domain([7, 16.5]); | |
var svg = d3.select("#content") | |
.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 + ")"); | |
var formatNumbers = d3.format(","); | |
d3.csv("woj_stats.csv", function(data) { | |
d3.json("woj_maps.json", function(json) { | |
for (var i = 0; i < data.length; i++) { | |
var dataWoj = data[i].woj; | |
var areaWoj = parseFloat(data[i].area); | |
var populationWoj = parseFloat(data[i].population); | |
var densityWoj = parseFloat(data[i].density); | |
var unRateWoj = parseFloat(data[i].un_rate_woj); | |
var capitalWoj = data[i].capital; | |
var capitalWojUR = parseFloat(data[i].un_rate_capital); | |
var capitalLong = parseFloat(data[i].longitude); | |
var capitalLat = parseFloat(data[i].latitude); | |
for (var j = 0; j < json.features.length; j++) { | |
var jsonWoj = json.features[j].properties.name; | |
if (dataWoj == jsonWoj) { | |
json.features[j].properties.area = areaWoj; | |
json.features[j].properties.population = populationWoj; | |
json.features[j].properties.density = densityWoj; | |
json.features[j].properties.un_rate_woj = unRateWoj; | |
json.features[j].properties.capital = capitalWoj; | |
json.features[j].properties.capitalWojUR = capitalWojUR; | |
json.features[j].properties.longitude = capitalLong; | |
json.features[j].properties.latitude = capitalLat; | |
break; | |
} | |
} | |
} | |
var mapWoj = svg.selectAll("g") | |
.data(json.features) | |
.enter() | |
.append("g") | |
mapWoj.append("path") | |
.attr("d", path) | |
.attr("class", "path") | |
.style("fill", function (d) { return mapColor(d.properties.un_rate_woj); | |
}); | |
mapWoj.append("text") | |
.attr("x", 550) | |
.attr("y", 100) | |
.attr("text-anchor", "start") | |
.attr("fill", "none") | |
.text(function(d) { return d.properties.name; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return "Area: " + formatNumbers(d.properties.area) + " sq. km"; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return "Population: " + formatNumbers(d.properties.population); }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return "Unemployment rate: " + d.properties.un_rate_woj + "%"; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return "Capital: " + d.properties.capital ; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return d.properties.capital + "'s unemployment rate: " + d.properties.capitalWojUR + "%"; }); | |
mapWoj.on("mouseover", function() { | |
d3.select(this) | |
.classed("hover", true) | |
}); | |
mapWoj.on("mouseout", function() { | |
d3.select(this) | |
.classed("hover", false) | |
}); | |
var mapCapital = svg.selectAll("circle") | |
.data(json.features) | |
.enter() | |
.append("circle") | |
.attr("class", "circle") | |
.attr("cx", function(d) { | |
return projection([d.properties.longitude, d.properties.latitude])[0]; | |
}) | |
.attr("cy", function(d) { | |
return projection([d.properties.longitude, d.properties.latitude])[1]; | |
}) | |
.attr("r", function(d) { return Math.sqrt(+d.properties.capitalWojUR * 50); | |
}); | |
mapCapital.append("text") | |
.attr("x", 550) | |
.attr("y", 100) | |
.attr("text-anchor", "start") | |
.attr("fill", "none") | |
.text(function(d) { return d.properties.capital; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return "Unemployment rate: " + d.properties.capitalWojUR + "%"; }) | |
.append("tspan") | |
.attr("x", 550) | |
.attr("dy", 25) | |
.text(function(d) { return d.properties.name + "'s nemployment rate: " + d.properties.un_rate_woj; }) | |
}); | |
}); | |
</script> | |
</div> | |
</body> | |
</html> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
body { | |
background-color: #ededeb; | |
font-family: "Lato", sans-serif; | |
font-weight: 400; | |
font-size: 16px; | |
} | |
h1 { | |
font-size: 30px; | |
font-family: "Lato", sans-serif; | |
font-weight: 400; | |
text-align: left; | |
color: dimgrey; | |
} | |
.text { | |
padding: 0 1%; | |
margin-left: 1%; | |
margin-right: 1%; | |
margin-bottom: 0px; | |
background-color: #ededeb; | |
text-align: left; | |
text-indent: 30px; | |
} | |
path { | |
opacity: 0.75; | |
stroke: dimgrey; | |
} | |
path:hover { | |
opacity: 1; | |
cursor: crosshair; | |
} | |
circle { | |
stroke: dimgrey; | |
stroke-opacity: 0.75; | |
fill: lightgrey; | |
opacity: 0.75; | |
} | |
circle:hover { | |
stroke-width: 1.5px; | |
stroke: dimgrey; | |
stroke-opacity: 1; | |
cursor: crosshair; | |
opacity: 1; | |
} | |
.hover text { | |
fill: red; | |
font-weight: 700; | |
font-size: 18px; | |
} | |
.hover tspan { | |
fill: dimgrey; | |
font-weight: 300; | |
font-size: 16px; | |
} | |
#wrapper { | |
width: 50%; | |
height: 100%; | |
margin: 0 auto; | |
position: relative; | |
} | |
#content { | |
padding: 0; | |
background-color: #ededeb; | |
margin: 0 1%; | |
text-align: center; | |
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
woj | area | population | density | un_rate_woj | capital | un_rate_capital | latitude | longitude | |
---|---|---|---|---|---|---|---|---|---|
Dolnośląskie | 19947 | 2909997 | 146 | 9.4 | Wrocław | 3.5 | 51.11 | 17.022222 | |
Kujawsko-pomorskie | 17972 | 2092564 | 116 | 13.8 | Bydgoszcz | 5.7 | 53.125 | 18.011111 | |
Lubelskie | 25122 | 2156150 | 86 | 11.5 | Lublin | 8 | 51.248056 | 22.570278 | |
Lubuskie | 13988 | 1021470 | 73 | 11.3 | Gorzów Wielkopolski | 4.8 | 52.730833 | 15.238333 | |
Łódzkie | 18219 | 2513093 | 138 | 11.2 | Łódź | 9.9 | 51.776667 | 19.454722 | |
Małopolskie | 15183 | 3360581 | 221 | 8.8 | Kraków | 4.6 | 50.061389 | 19.938333 | |
Mazowieckie | 35558 | 5316840 | 150 | 9 | Warszawa | 3.7 | 52.232222 | 21.008333 | |
Opolskie | 9412 | 1004416 | 107 | 10.6 | Opole | 5.3 | 50.664722 | 17.926944 | |
Podkarpackie | 17846 | 2129294 | 119 | 13.1 | Rzeszów | 7.3 | 50.033611 | 22.004722 | |
Podlaskie | 20187 | 1194965 | 59 | 12.1 | Białystok | 10.9 | 53.135278 | 23.145556 | |
Pomorskie | 18310 | 2295811 | 125 | 9.8 | Gdańsk | 4.5 | 54.3475 | 18.645278 | |
Śląskie | 12333 | 4599447 | 373 | 8.8 | Katowice | 3.9 | 50.264167 | 19.023611 | |
Świętokrzyskie | 11711 | 1268239 | 108 | 13 | Kielce | 8.4 | 50.874167 | 20.633333 | |
Warmińsko-mazurskie | 24173 | 1446915 | 60 | 16.5 | Olsztyn | 5.9 | 53.773056 | 20.476111 | |
Wielkopolskie | 29826 | 3467016 | 116 | 7 | Poznań | 2.5 | 52.408333 | 16.934167 | |
Zachodniopomorskie | 22892 | 1718861 | 75 | 13.7 | Szczecin | 7.4 | 53.438056 | 14.542222 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment