Zika Virus 2015

My first D3 map showing my travel across the US. This visualization was built by modifying choropleth example code by Scott Murray, tooltip example code by Malcolm Maclean, and legend code example by Mike Bostock.

forked from michellechandra's block: Basic US State Map - D3

forked from scresawn's block: West Nile Virus

forked from scresawn's block: West Nile Virus (simplified)

forked from 7man10's block: Zika Virus

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v3.min.js"></script>
<style type="text/css">

/* On mouse hover, lighten state color */
path:hover {
	fill-opacity: .9;
}
        
body {
	font: 11px sans-serif;
}

</style>
</head>
<body>
<script type="text/javascript">

/*  This visualization was made possible by modifying code provided by:

Scott Murray, Choropleth example from "Interactive Data Visualization for the Web" 
https://github.com/alignedleft/d3-book/blob/master/chapter_12/05_choropleth.html   
		
Malcolm Maclean, tooltips example tutorial
https://www.d3noob.org/2013/01/adding-tooltips-to-d3js-graph.html

Mike Bostock, Pie Chart Legend
https://bl.ocks.org/mbostock/3888852  */

//Width and height of map
var width = 960;
var height = 500;

// D3 Projection
var projection = d3.geo.albersUsa()
				   .translate([width/2, height/2])    // translate to center of screen
				   .scale([1000]);          // scale things down so see entire US
        
// Define path generator
var path = d3.geo.path()               // path generator that will convert GeoJSON to SVG paths
		  	 .projection(projection);  // tell path generator to use albersUsa projection
  
/* set color_by variable to column header you want to display */
  
var color_by = "Total cases";
  
var color = d3.scale.log()
			  .range(["White", "Black"]);

//Create SVG element and append map to the SVG
var svg = d3.select("body")
			.append("svg")
			.attr("width", width)
			.attr("height", height);

// Load in my states data
d3.csv("WestNile.csv", function(data) {
  //console.log(data);
    data.forEach(function(d){ 
      d["Neuroinvasive Disease Cases"] = +d["Neuroinvasive Disease Cases"]; 
      d["Non–neuroinvasive Disease Cases"] = +d["Non–neuroinvasive Disease Cases"]; 
      d["Total cases"] = +d["Total cases"]; 
      d["Deaths"] = +d["Deaths"]; 
      d["Presumptive viremic blood donors"] = +d["Presumptive viremic blood donors"]; 
    });

color.domain([d3.min(data, function(d) { return d[color_by] || Infinity;; }),d3.max(data, function(d) { return d[color_by]; })]); // setting the range of the input data
  
console.log([d3.min(data, function(d) { console.log("color",d[color_by]); return d[color_by] || Infinity;; }),d3.max(data, function(d) { return d[color_by]; })])

// Load GeoJSON data and merge with states data
d3.json("us-states.json", function(json) {

// Loop through each state data value in the .csv file
for (var i = 0; i < data.length; i++) {
  //console.log("i", i, data[i][color_by]);

// Grab State Name
	var dataState = data[i].State;
  var dataValue = data[i][color_by];

// Find the corresponding state inside the GeoJSON
	for (var j = 0; j < json.features.length; j++)  {
		var jsonState = json.features[j].properties.name;
    //console.log(jsonState);

if (dataState == jsonState) {

// Copy the data value into the JSON
			json.features[j].properties.cases = dataValue;
      //console.log(jsonState,json.features[j].properties.cases);

// Stop looking through the JSON
			break;
		}
	}
}
		
// Bind the data to the SVG and create one path per GeoJSON feature
svg.selectAll("path")
	.data(json.features)
	.enter()
	.append("path")
	.attr("d", path)
	.style("stroke", "#353535")
	.style("stroke-width", "1")
	.style("fill", function(d) {

// Get data value
	var value = d.properties.cases;
  //console.log("value", value, color(value));

if (value && color(value)) {
		return color(value);
	} else {
		return "MistyRose";
	}
});
 
	});

});
</script>
</body>
</html>

Modified http://d3js.org/d3.v3.min.js to a secure url

https://d3js.org/d3.v3.min.js