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@JulienAssouline
Last active November 24, 2017 16:26
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two linked charts [hover over bars]
Country_Residence Origin Year Count Lat_Residence Lon_Residence Lat_Origin Lon_Origin
159 Canada Ghana 2016 5.0 56.130366 -106.34677099999999 7.946527000000001 -1.0231940000000002
134 Canada Angola 2016 6.0 56.130366 -106.34677099999999 -11.202691999999999 17.873887
202 Canada Yemen 2016 6.0 56.130366 -106.34677099999999 15.552726999999999 48.516388
195 Canada Thailand 2016 6.0 56.130366 -106.34677099999999 15.870032 100.992541
136 Canada Armenia 2016 7.0 56.130366 -106.34677099999999 40.069099 45.038189
170 Canada Cambodia 2016 7.0 56.130366 -106.34677099999999 12.565679 104.990963
177 Canada Nepal 2016 8.0 56.130366 -106.34677099999999 28.394857000000002 84.12400799999999
194 Canada Togo 2016 8.0 56.130366 -106.34677099999999 8.619543 0.824782
198 Canada Uganda 2016 9.0 56.130366 -106.34677099999999 1.373333 32.290275
173 Canada Sri Lanka 2016 9.0 56.130366 -106.34677099999999 7.873054 80.77179699999999
200 Canada United States 2016 9.0 56.130366 -106.34677099999999 37.09024 -95.712891
203 Canada South Africa 2016 10.0 56.130366 -106.34677099999999 -30.559482 22.937506
196 Canada Turkey 2016 10.0 56.130366 -106.34677099999999 38.963745 35.243322
154 Canada Ecuador 2016 11.0 56.130366 -106.34677099999999 -1.8312389999999998 -78.183406
163 Canada India 2016 12.0 56.130366 -106.34677099999999 20.593684 78.96288
193 Canada Chad 2016 12.0 56.130366 -106.34677099999999 15.454166 18.732207
161 Canada Gambia 2016 17.0 56.130366 -106.34677099999999 13.443182 -15.310139000000001
186 Canada Senegal 2016 18.0 56.130366 -106.34677099999999 14.497401000000002 -14.452361999999999
146 Canada China 2016 22.0 56.130366 -106.34677099999999 35.86166 104.195397
187 Canada Sierra Leone 2016 43.0 56.130366 -106.34677099999999 8.460555000000001 -11.779889
167 Canada Jordan 2016 43.0 56.130366 -106.34677099999999 30.585164000000002 36.238414
189 Canada Sudan 2016 65.0 56.130366 -106.34677099999999 12.862807 30.217636
144 Canada Central African Republic 2016 76.0 56.130366 -106.34677099999999 6.611111 20.939444
183 Canada Rwanda 2016 90.0 56.130366 -106.34677099999999 -1.940278 29.873888
171 Canada Lebanon 2016 100.0 56.130366 -106.34677099999999 33.854721000000005 35.862285
142 Canada Bhutan 2016 106.0 56.130366 -106.34677099999999 27.514162 90.433601
172 Canada Liberia 2016 114.0 56.130366 -106.34677099999999 6.4280550000000005 -9.429499
180 Canada Palestinian Territories 2016 129.0 56.130366 -106.34677099999999 31.952162 35.233154
155 Canada Egypt 2016 134.0 56.130366 -106.34677099999999 26.820553000000004 30.802497999999996
147 Canada Cote d'Ivoire 2016 152.0 56.130366 -106.34677099999999 7.539989 -5.54708
151 Canada Colombia 2016 178.0 56.130366 -106.34677099999999 4.570868 -74.297333
185 Canada Sudan 2016 190.0 56.130366 -106.34677099999999 12.862807 30.217636
138 Canada Burundi 2016 218.0 56.130366 -106.34677099999999 -3.3730559999999996 29.918885999999997
178 Canada Pakistan 2016 226.0 56.130366 -106.34677099999999 30.375321000000003 69.345116
164 Canada Iran 2016 248.0 56.130366 -106.34677099999999 32.427908 53.68804599999999
175 Canada Myanmar 2016 368.0 56.130366 -106.34677099999999 21.913965 95.956223
158 Canada Ethiopia 2016 725.0 56.130366 -106.34677099999999 9.145 40.489672999999996
188 Canada Somalia 2016 902.0 56.130366 -106.34677099999999 5.152149 46.199616
133 Canada Afghanistan 2016 1354.0 56.130366 -106.34677099999999 33.93911 67.709953
165 Canada Iraq 2016 1650.0 56.130366 -106.34677099999999 33.223191 43.679291
149 Canada Congo 2016 1655.0 56.130366 -106.346771 -4.038333 21.758664
156 Canada Eritrea 2016 3934.0 56.130366 -106.34677099999999 15.179383999999999 39.782334000000006
192 Canada Syria 2016 33266.0 56.130366 -106.34677099999999 34.802075 38.996815000000005
159 Canada Ghana 2016 5.0 56.130366 -106.34677099999999 7.946527000000001 -1.0231940000000002
134 Canada Angola 2016 6.0 56.130366 -106.34677099999999 -11.202691999999999 17.873887
202 Canada Yemen 2016 6.0 56.130366 -106.34677099999999 15.552726999999999 48.516388
195 Canada Thailand 2016 6.0 56.130366 -106.34677099999999 15.870032 100.992541
136 Canada Armenia 2016 7.0 56.130366 -106.34677099999999 40.069099 45.038189
170 Canada Cambodia 2016 7.0 56.130366 -106.34677099999999 12.565679 104.990963
177 Canada Nepal 2016 8.0 56.130366 -106.34677099999999 28.394857000000002 84.12400799999999
194 Canada Togo 2016 8.0 56.130366 -106.34677099999999 8.619543 0.824782
198 Canada Uganda 2016 9.0 56.130366 -106.34677099999999 1.373333 32.290275
173 Canada Sri Lanka 2016 9.0 56.130366 -106.34677099999999 7.873054 80.77179699999999
200 Canada United States 2016 9.0 56.130366 -106.34677099999999 37.09024 -95.712891
203 Canada South Africa 2016 10.0 56.130366 -106.34677099999999 -30.559482 22.937506
196 Canada Turkey 2016 10.0 56.130366 -106.34677099999999 38.963745 35.243322
154 Canada Ecuador 2016 11.0 56.130366 -106.34677099999999 -1.8312389999999998 -78.183406
163 Canada India 2016 12.0 56.130366 -106.34677099999999 20.593684 78.96288
193 Canada Chad 2016 12.0 56.130366 -106.34677099999999 15.454166 18.732207
161 Canada Gambia 2016 17.0 56.130366 -106.34677099999999 13.443182 -15.310139000000001
186 Canada Senegal 2016 18.0 56.130366 -106.34677099999999 14.497401000000002 -14.452361999999999
146 Canada China 2016 22.0 56.130366 -106.34677099999999 35.86166 104.195397
187 Canada Sierra Leone 2016 43.0 56.130366 -106.34677099999999 8.460555000000001 -11.779889
167 Canada Jordan 2016 43.0 56.130366 -106.34677099999999 30.585164000000002 36.238414
189 Canada Sudan 2016 65.0 56.130366 -106.34677099999999 12.862807 30.217636
144 Canada Central African Republic 2016 76.0 56.130366 -106.34677099999999 6.611111 20.939444
183 Canada Rwanda 2016 90.0 56.130366 -106.34677099999999 -1.940278 29.873888
171 Canada Lebanon 2016 100.0 56.130366 -106.34677099999999 33.854721000000005 35.862285
142 Canada Bhutan 2016 106.0 56.130366 -106.34677099999999 27.514162 90.433601
172 Canada Liberia 2016 114.0 56.130366 -106.34677099999999 6.4280550000000005 -9.429499
180 Canada Palestinian Territories 2016 129.0 56.130366 -106.34677099999999 31.952162 35.233154
155 Canada Egypt 2016 134.0 56.130366 -106.34677099999999 26.820553000000004 30.802497999999996
147 Canada Cote d'Ivoire 2016 152.0 56.130366 -106.34677099999999 7.539989 -5.54708
151 Canada Colombia 2016 178.0 56.130366 -106.34677099999999 4.570868 -74.297333
185 Canada Sudan 2016 190.0 56.130366 -106.34677099999999 12.862807 30.217636
138 Canada Burundi 2016 218.0 56.130366 -106.34677099999999 -3.3730559999999996 29.918885999999997
178 Canada Pakistan 2016 226.0 56.130366 -106.34677099999999 30.375321000000003 69.345116
164 Canada Iran 2016 248.0 56.130366 -106.34677099999999 32.427908 53.68804599999999
175 Canada Myanmar 2016 368.0 56.130366 -106.34677099999999 21.913965 95.956223
158 Canada Ethiopia 2016 725.0 56.130366 -106.34677099999999 9.145 40.489672999999996
188 Canada Somalia 2016 902.0 56.130366 -106.34677099999999 5.152149 46.199616
133 Canada Afghanistan 2016 1354.0 56.130366 -106.34677099999999 33.93911 67.709953
165 Canada Iraq 2016 1650.0 56.130366 -106.34677099999999 33.223191 43.679291
149 Canada Congo 2016 1655.0 56.130366 -106.346771 -4.038333 21.758664
156 Canada Eritrea 2016 3934.0 56.130366 -106.34677099999999 15.179383999999999 39.782334000000006
192 Canada Syria 2016 33266.0 56.130366 -106.34677099999999 34.802075 38.996815000000005
(function () {
//Width and height
var w = 600;
var h = 600;
var margin = {
top: 100,
bottom: 0,
left: 0,
right: 0
};
var width = w - margin.left - margin.right;
var height = h - margin.top - margin.bottom;
var lineScale = d3.scaleSqrt()
.domain([5,33266])
.range([0.5, 3])
// define map projection
var projection = d3.geoAzimuthalEquidistant()
.translate([w/2, h/2 + 60])
.scale(240)
// .scale([500]);
//Define default path generator
var path = d3.geoPath()
.projection(projection)
var svg = d3.select("#Canadian_refugees")
.append("svg")
.attr("id", "chart")
.attr("width", w)
.attr("height", h)
.append("g")
.attr("transform", "translate(0" + margin.left + "," + margin.top + ")");
d3.json("world.topojson", function(json){
d3.csv("Canada_refugees_2016.csv", function(error, data){
// data.forEach(function(d){
// d.Lon_Residence = +d.Lon_Residence
// d.Lat_Residence = +d.Lat_Residence
// })
var countries = topojson.feature(json, json.objects.countries).features
svg.selectAll(".country")
.data(countries)
.enter()
.append("path")
.attr("class", "country")
.attr("d", path)
svg.selectAll(".arcs")
.data(data)
.enter()
.append("path")
.attr("class", function(d) {
return "arc " + d.Origin.replace(/[^A-Za-z0-9]/g, "")// this adds a class to every arc. DONT FORGET THE SPACE
})
.style("stroke", "#cd0d0e")
.attr("d", function(d){
return lngLatToArc(d, 0.7);
})
.style("fill", "none")
.style("opacity", function(d){
if(d.Origin == "Syria"){
return 0.7
} else {
return 0.4
}
})
.style("stroke-width", function(d){
return lineScale(d.Count)
})
svg.selectAll("circles")
.data(data)
.enter()
.append("circle")
.attr("class", "Resident")
.attr("r", 2)
.attr("cx", function(d){
var coords = projection([d.Lon_Residence, d.Lat_Residence])
return coords[0];
})
.attr("cy", function(d){
var coords = projection([d.Lon_Residence, d.Lat_Residence])
return coords[1]
})
.style("fill", "none")
.style("opacity", 0)
svg.selectAll("points")
.data(data)
.enter()
.append("circle")
.attr("class", "Origin")
.attr("r", 2)
.attr("cx", function(d){
var coords = projection([d.Lon_Origin, d.Lat_Origin])
return coords[0];
})
.attr("cy", function(d){
var coords = projection([d.Lon_Origin, d.Lat_Origin])
return coords[1]
})
.style("fill", "none")
.style("opacity", 1)
svg.selectAll(".label")
.data(data.filter(function(d){
return d.Count == 33266
}))
.enter()
.append("text")
.attr("class", "label")
.attr("x", function(d){
var coords = projection([d.Lon_Origin, d.Lat_Origin])
return coords[0]
})
.attr("y", function(d){
var coords = projection([d.Lon_Origin, d.Lat_Origin])
return coords[1] + 13
})
.text("Syria")
svg.append("text")
.attr("x", 250)
.attr("y", 0)
.text("Canada")
.style("font-weight", "bold")
// This function takes an object, the key names where it will find an array of lng/lat pairs, e.g. `[-74, 40]`
// And a bend parameter for how much bend you want in your arcs, the higher the number, the less bend.
function lngLatToArc(d, bend){
// If no bend is supplied, then do the plain square root
bend = bend || 1;
// `[d.Lon_Origin, d.Lat_Origin]` and `[d.Lon_Residence, d.Lat_Residence]` are arrays of `[lng, lat]`
// Note, people often put these in lat then lng, but mathematically we want x then y which is `lng,lat`
var sourceLngLat = [d.Lon_Origin, d.Lat_Origin],
targetLngLat = [d.Lon_Residence, d.Lat_Residence];
if(targetLngLat && sourceLngLat){
var sourceXY = projection(sourceLngLat),
targetXY = projection(targetLngLat);
// Uncomment this for testing, useful to see if you have any null lng/lat values
// if (!targetXY) console.log(d, targetLngLat, targetXY)
var sourceX = sourceXY[0],
sourceY = sourceXY[1];
var targetX = targetXY[0],
targetY = targetXY[1];
var dx = targetX - sourceX,
dy = targetY - sourceY
dr = Math.sqrt(dx * dx + dy * dy) * bend;
// To avoid a whirlpool effect, make the bend direction consistent regardless of whether the source is east or west of the target
var west_of_source = (targetX - sourceX) < 0;
if (west_of_source) return "M" + targetX + "," + targetY + "A" + dr + "," + dr + " 0 0,1 " + sourceX + "," + sourceY;
return "M" + sourceX + "," + sourceY + "A" + dr + "," + dr + " 0 0,1 " + targetX + "," + targetY;
} else{
return "M0,0,l0,0z";
}
}
})
})
})()
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>D3: Loading TopoJSON data and generating SVG paths</title>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="//d3js.org/topojson.v1.min.js"></script>
<style type="text/css">
/* No style rules here yet */
body,html{
margin: 0;
padding: 0;
font-family: "Arial", sans-serif;
font-size: 11px;
text-align: center;
}
#chart{
background-color: white;
stroke-width: 1;
}
.country{
fill: #eeedeb;
stroke: lightgrey;
}
#chart1{
background-color: white;
stroke-width: 0;
}
.yaxis line,
.yaxis path{
fill: none;
stroke: none;
}
.container{
float: right;
}
.container_1{
float: left;
}
</style>
</head>
<body>
<div class="container" id="Canadian_refugees"></div>
<script src="Canadian_refugees.js"></script>
<div class="container_1" id= "count_refugee"></div>
<script src="Refugees_origin_2016_Canada.js"></script>
</body>
</html>
(function () {
var w = 200
var h = 300
var margin = {
right: 40,
left: 150,
top: 40,
bottom: 40
}
var width = w - margin.right - margin.left;
var height = h - margin.top - margin.bottom;
var svg = d3.select("#count_refugee")
.append("svg")
.attr("id", "chart1")
.attr("width", w)
.attr("height", h)
.append("g")
.attr("transform", "translate(0" + margin.left + "," + margin.top + ")");
var xScale = d3.scaleLinear()
.range([0, width]);
var yScale = d3.scaleBand()
.range([height, 0]);
var yAxis = d3.axisLeft()
.scale(yScale)
d3.csv("Canada_refugees_2016_bar.csv", function(error, data){
data.forEach(function(d){
d.Count = +d.Count;
d.Country_Residence = d.Country_Residence
d.Origin = d.Origin
})
xScale.domain([0, d3.max(data, function(d){ return d.Count })]);
yScale.domain(data.map(function(d){ return d.Origin }));
svg.append("g")
.attr("class", "yaxis")
.attr("transform", "translate(0," + 0+ ")")
.call(yAxis)
.selectAll("text")
.style("fill", "black")
.style("font-size", "12px")
.style("font-weight", "Myriad Pro")
svg.selectAll(".rect")
.data(data)
.enter()
.append("rect")
.classed("bar", true)
.attr("x", 0)
.attr("y", function(d){
return yScale(d.Origin)
})
.attr("width", function(d){
return xScale(d.Count) + 1
})
.attr("height", 10)
.style("fill", "#cd0d0e")
.on("mouseover", function(d){
d3.selectAll(".arc").style("opacity", 0.1) /// selecting the arcs from map
d3.select("."+ d.Origin.replace(/[^A-Za-z0-9]/g, "")).style("opacity", 1) // . means selecting things based on class. (.) + Origin is selecting the country based on the class
})
.on("mouseout", function(d){
d3.selectAll(".arc").style("opacity", function(e){
if(e.Origin == "Syria"){
return 0.7
} else {
return 0.4
}
})
// d3.select(this).style("fill", "#cd0d0e")
})
})
})()
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