adg29 · April 27, 2017 17:51
diff --git a/README.md b/README.md
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html lang="en">
 	<head>
 		<meta charset="utf-8">
 		<title>US Emissions by State (2013)</title>
        <script src="http://d3js.org/d3.v3.min.js"></script>
 		<style type="text/css">
 			/* No style rules here yet */
 		</style>
 	</head>
 	<body>
 		<script type="text/javascript">

 			//Width and height
 			var w = 960;
 			var h = 600;

 			//Define map projection
 			var projection = d3.geo.albersUsa()
 								   .translate([w/2, h/2])
 								   .scale([1280]);

 			//Define path generator
 			var path = d3.geo.path()
 							 .projection(projection);

 			//Define quantize scale to sort data values into buckets of color
 			var color = d3.scale.quantize()
 								.range(["#fef0d9","#fdd49e","#fdbb84","#fc8d59","#ef6548","#d7301f","#990000"]);
 								//Colors taken from colorbrewer.js, included in the D3 download

 			//Create SVG element
 			var svg = d3.select("body")
 						.append("svg")
 						.attr("width", w)
 						.attr("height", h);

 			//Load in agriculture data
 			d3.csv("State_Emissions.csv", function(data) {

 				//Set input domain for color scale
 				color.domain([
 					d3.min(data, function(d) { console.log(d.emissions); return d.emissions; }),
 					d3.max(data, function(d) { console.log(d.emissions); return d.emissions; })
 				]);

                                console.log("domain",color.domain());
                                console.log( "min",d3.min(data, function(d) { console.log(d.emissions); return d.emissions; }) );
                                console.log( "max",d3.max(data, function(d) { console.log(d.emissions); return d.emissions; }) );


 				//Load in GeoJSON data
 				d3.json("us_states.json", function(json) {

 					//Merge the ag. data and GeoJSON
 					//Loop through once for each ag. data value
 					for (var i = 0; i < data.length; i++) {

 						//Grab state name
 						var dataState = data[i].state;

 						//Grab data value, and convert from string to float
 						var dataValue = parseFloat(data[i].emissions);

 						//Find the corresponding state inside the GeoJSON
 						for (var j = 0; j < json.features.length; j++) {

 							var jsonState = json.features[j].properties.name;

 							if (dataState == jsonState) {

 								//Copy the data value into the JSON
 								json.features[j].properties.value = dataValue;

 								//Stop looking through the JSON
 								break;

 							}
 						}
 					}

 					//Bind data and create one path per GeoJSON feature
 					svg.selectAll("path")
 					   .data(json.features)
 					   .enter()
 					   .append("path")
 					   .attr("d", path)
 					   .style("fill", function(d) {
 					   		//Get data value
 					   		var value = d.properties.value;

 					   		if (value) {
 					   			//If value exists…
 						   		return color(value);
 					   		} else {
 					   			//If value is undefined…
 						   		return "#ccc";
 					   		}
 					   });

 				});

 			});

 		</script>
 	</body>
 </html>
diff --git a/State_Emissions.csv b/State_Emissions.csv
diff --git a/us_states.json b/us_states.json
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>US Emissions by State (2013)</title>
	<script src="http://d3js.org/d3.v3.min.js"></script>
	<style type="text/css">
	/* No style rules here yet */
	</style>
	</head>
	<body>
	<script type="text/javascript">

	//Width and height
	var w = 960;
	var h = 600;

	//Define map projection
	var projection = d3.geo.albersUsa()
	.translate([w/2, h/2])
	.scale([1280]);

	//Define path generator
	var path = d3.geo.path()
	.projection(projection);

	//Define quantize scale to sort data values into buckets of color
	var color = d3.scale.quantize()
	.range(["#fef0d9","#fdd49e","#fdbb84","#fc8d59","#ef6548","#d7301f","#990000"]);
	//Colors taken from colorbrewer.js, included in the D3 download

	//Create SVG element
	var svg = d3.select("body")
	.append("svg")
	.attr("width", w)
	.attr("height", h);

	//Load in agriculture data
	d3.csv("State_Emissions.csv", function(data) {

	//Set input domain for color scale
	color.domain([
	d3.min(data, function(d) { console.log(d.emissions); return d.emissions; }),
	d3.max(data, function(d) { console.log(d.emissions); return d.emissions; })
	]);

	console.log("domain",color.domain());
	console.log( "min",d3.min(data, function(d) { console.log(d.emissions); return d.emissions; }) );
	console.log( "max",d3.max(data, function(d) { console.log(d.emissions); return d.emissions; }) );


	//Load in GeoJSON data
	d3.json("us_states.json", function(json) {

	//Merge the ag. data and GeoJSON
	//Loop through once for each ag. data value
	for (var i = 0; i < data.length; i++) {

	//Grab state name
	var dataState = data[i].state;

	//Grab data value, and convert from string to float
	var dataValue = parseFloat(data[i].emissions);

	//Find the corresponding state inside the GeoJSON
	for (var j = 0; j < json.features.length; j++) {

	var jsonState = json.features[j].properties.name;

	if (dataState == jsonState) {

	//Copy the data value into the JSON
	json.features[j].properties.value = dataValue;

	//Stop looking through the JSON
	break;

	}
	}
	}

	//Bind data and create one path per GeoJSON feature
	svg.selectAll("path")
	.data(json.features)
	.enter()
	.append("path")
	.attr("d", path)
	.style("fill", function(d) {
	//Get data value
	var value = d.properties.value;

	if (value) {
	//If value exists…
	return color(value);
	} else {
	//If value is undefined…
	return "#ccc";
	}
	});

	});

	});

	</script>
	</body>
	</html>
	state	emissions
	Alabama	123.05
	Alaska	37.81
	Arizona	91.23
	Arkansas	66.20
	California	364.20
	Colorado	90.64
	Connecticut	34.68
	Delaware	14.07
	District of Columbia	2.71
	Florida	224.20
	Georgia	136.88
	Hawaii	18.77
	Idaho	15.89
	Illinois	218.09
	Indiana	194.07
	Iowa	82.02
	Kansas	67.27
	Kentucky	138.12
	Louisiana	205.52
	Maine	16.01
	Maryland	61.44
	Massachusetts	62.83
	Michigan	154.03
	Minnesota	87.63
	Mississippi	61.87
	Missouri	128.59
	Montana	30.66
	Nebraska	50.58
	Nevada	34.61
	New Hampshire	14.82
	New Jersey	106.08
	New Mexico	54.61
	New York	163.53
	North Carolina	120.60
	North Dakota	52.65
	Ohio	217.19
	Oklahoma	105.44
	Oregon	37.03
	Pennsylvania	237.48
	Rhode Island	10.58
	South Carolina	74.31
	South Dakota	15.13
	Tennessee	99.91
	Texas	676.94
	Utah	61.25
	Vermont	5.56
	Virginia	98.53
	Washington	71.05
	West Virginia	90.75
	Wisconsin	90.94
	Wyoming	66.16