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example_1_map.html
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<!DOCTYPE html>
<htm>
<head>
<meta charset="utf-8">
<title>Example 1 - Saskatoon Map</title>
<script type="text/javascript" src="d3.v5.min.js"></script>
</head>
<body>
</body>
<style>
path {
stroke: lightgrey;
}
</style>
<script type="text/javascript">
//Width and height
var w = 800;
var h = 500;
//Define map projection
var projection = d3.geoMercator()
.center([-114.07, 51.0486])
.translate([w / 2, h / 2])
.scale([50000]);
//Define path generator
var path = d3.geoPath()
.projection(projection);
//Create SVG element
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
//Load in GeoJSON data
d3.json("calgary.json").then(function(json) {
// Bind data and create one path per GeoJSON feature
svg.selectAll("path")
.data(json.features)
.enter()
.append("path")
.attr("d", path)
.attr('fill', 'white')
.append('title')
.text(function(d) {
return d.properties.name;
})
var color;
var maxvalue;
var minvalue;
var dictionary = {};
var location1= [];
var KeysA;
var dataset;
/*END: READ ONLY*/
//Load in the data
d3.csv("tomslee.csv").then(function (data){
dataset = data;
contributionDictionary();
console.log(dataset)
maxvalue=Math.max.apply(null, Object.values(dictionary));
minvalue=Math.min.apply(null, Object.values(dictionary));
console.log(maxvalue)
console.log(minvalue)
console.log(location1);
color = d3.scaleQuantize()
//.range(["light blue","blue","pink","red"]);
.range(["grey","pink","red"]);
color.domain([minvalue,maxvalue])
// d3.csv("Country_List.csv").then(function (data1){
// dataset = data1;
generateVisualization();
});
//});
function contributionDictionary(){
dataset.forEach(function(d){
d.price=+d.price;
d.bedrooms=+d.bedrooms;
d.latitude=+d.latitude;
d.longitude=+d.longitude;
if(d.borough in dictionary){
if(d.bedrooms==0||d.bedrooms==1){
dictionary[String(d.borough)].push(d.price);
}
else{
dictionary[String(d.borough)].push(d.price/d.bedrooms);
}
}
else{
//location1[String(d.borough)]=[d.latitude,d.longitude];
location1.push({latitude:d.latitude,longitude:d.longitude,borough:d.borough})
dictionary[String(d.borough)]=[];
if(d.bedrooms==0||d.bedrooms==1){
dictionary[String(d.borough)].push(d.price);
}
else{
dictionary[String(d.borough)].push(d.price/d.bedrooms);
}
}
});
console.log(location1);
var i;
var keys1=Object.keys(dictionary);
for (i in keys1){
dictionary[keys1[i]]=d3.mean(dictionary[keys1[i]]);
//console.log(dictionary[keys1[i]])
}
};
// d3.csv("Country_List.csv").then(function (data){
// dataset = data;
// generateVisualization();
// });
function generateVisualization(){
//Create SVG element
//var svg = d3.select("body").append("svg").attr("width", w).attr("height", h);
KeysA=Object.keys(dictionary)
console.log(KeysA)
//Draw circles
svg.selectAll("circle").data(location1).enter().append("circle")
.attr("cx",function(d,i){
//return d.Longitude;
// console.log(projection([d.longitude, d.latitude]))
return projection([d.longitude, d.latitude])[0];
//return long(d.longitude);
}
)
.attr("cy",function(d,i){
return projection([d.longitude, d.latitude])[1];
//return lat(d.latitude);
}
)
.attr("r",4)
.attr("fill",function(d,i){
//console.log(d.borough);
//if(d.borough in KeysA){
//keysA.remove(d.borough)
return color(dictionary[d.borough]);
// }
// else{
// return "white";
// }
})
// svg.selectAll("text").data(dataset).enter().append("text")
// .attr("x",function(d,i){
// return projection([d.Longitude, d.Latitude])[0];
// })
// .attr("y",function(d,i){
// return projection([d.Longitude, d.Latitude])[1];
// })
// .attr("font-size","5px")
// .text(function(d,i){
// //if(color(dictionary[d.Alpha3])=="gray"||color(dictionary[d.Alpha3])=="red"||color(dictionary[d.Alpha3])=="pink"){
// return d.borough
// // }
// // else{
// // return;
// // }
// })
};
});
</script>
</html>