DimsumPanda · October 5, 2015 20:35
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <!-- Modification of an example by Scott Murray from Knight D3 course -->
 <html lang="en">
 	<head>
 		<meta charset="utf-8">
 		<title>Line Chart with Multiple Lines</title>
 		<link href="style.css" rel="stylesheet" type="text/css" />

 	</head>
 	<body>

 		<h1>Maternal Mortality Rate</h1>

 		<p>Maternal Mortality Rate, 1990-2013. Subsaharan Africa and South Asia compared to the United States. Source: WHO (2015) Global Health Observatory Data Repository, Source: World Bank</p>

 		<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
 		<script type="text/javascript" src="multipleLines2.js"></script>

 	</body>
 </html>
diff --git a/multipleLines2.js b/multipleLines2.js
 			//Dimensions and padding
 			var width = 700;
 			var height = 600;
 			var margin = {top: 20, right: 10, bottom: 40, left:100};


 			//Set up date formatting and years
 			var dateFormat = d3.time.format("%Y");



 			//Set up scales
 			var xScale = d3.time.scale()
 			.range([ margin.left, width - margin.right - margin.left ]);

 			var yScale = d3.scale.linear()
 			.range([ margin.top, height - margin.bottom ]);

 			//Configure axis generators
 			var xAxis = d3.svg.axis()
 			.scale(xScale)
 			.orient("bottom")
 			.ticks(6)
 			.tickFormat(function(d) {
 			return dateFormat(d);
 		})
 		.outerTickSize([0]);

 		var yAxis = d3.svg.axis()
 		.scale(yScale)
 		.orient("left")
 		.outerTickSize([0]);



 		//Configure line generator
 		// each line dataset must have a d.year and a d.rate for this to work.
 		var line = d3.svg.line()
 		.x(function(d) {
 		return xScale(dateFormat.parse(d.year));
 	})
 	.y(function(d) {
 	return yScale(+d.rate);
 });



 //Create the empty SVG image
 var svg = d3.select("body")
 .append("svg")
 .attr("width", width)
 .attr("height", height);



 //Load data
 d3.csv("regionsMaternalMortality.csv", function(data) {

 //Data is loaded in, but we need to restructure it.
 //Remember, each line requires an array of x/y pairs;
 //that is, an array of arrays, like so:
 //
 //	[ [x: 1, y: 1], [x: 2, y: 2], [x: 3, y: 3] ]
 //
 //We, however, are using 'year' as x and 'rate' as y.
 //We also need to know which country belongs to each
 //line, so we will build an array of objects that is
 //structured like this:
 /*

 [
 {
 	country: "Australia",
 	mortalityRate: [
 	{ year: 1961, rate: 90589.568 },
 	{ year: 1962, rate: 94912.961 },
 	{ year: 1963, rate: 101029.517 },
 	…
 	]
 },
 {
 	country: "Bermuda",
 	mortalityRate: [
 	{ year: 1961, rate: 176.016 },
 	{ year: 1962, rate: 157.681 },
 	{ year: 1963, rate: 150.347 },
 	…
 	]
 },
 …
 ]

 */
 //Note that this is an array of objects. Each object
 //contains two values, 'country' and 'mortalityRate'.
 //The 'mortalityRate' value is itself an array, containing
 //more objects, each one holding 'year' and 'rate' values.

 //New array with all the years, for referencing later
 var years = ["1990", "1995", "2000", "2005", "2010", "2013"];

 // or you could get this by doing:

 // var years = d3.keys(data[0]).slice(0, 54-4); //

 //Create a new, empty array to hold our restructured dataset
 var dataset = [];

 //Loop once for each row in data
 data.forEach(function (d, i) {

 var mortality = [];

 //Loop through all the years - and get the mortalityRate for this data element
 years.forEach(function (y) {

 // If value is not empty
 if (d[y]) {
 //Add a new object to the new mortalityRate data array - for year, rate
 		mortality.push({
 		year: y,
 		rate: d[y]  // this is the value for, for example, d["2004"]
 		});
 		}

 });

 //Create new object with this country's name and empty array
 // d is the current data row... from data.forEach above.
 dataset.push( {
 country: d.name,
 mortalityRate: mortality  // we just built this!
 } );

 });

 //Uncomment to log the original data to the console
 // console.log(data);

 //Uncomment to log the newly restructured dataset to the console
 console.log(dataset);


 //Set scale domains - max and mine of the years
 xScale.domain(
 d3.extent(years, function(d) {
 return dateFormat.parse(d);
 }));

 // max of mortalityRate to 0 (reversed, remember)
 yScale.domain([
 d3.max(dataset, function(d) {
 return d3.max(d.mortalityRate, function(d) {
 return +d.rate;
 });
 }),
 0
 ]);


 //Make a group for each country
 var groups = svg.selectAll("g")
 				.data(dataset)
 				.enter()
 				.append("g");

 //Append a title with the country name (so we get easy tooltips)
 groups.append("title")
 			.text(function(d) {
 			return d.country;
 			});

 //Within each group, create a new line/path,
 //binding just the mortalityRate data to each one
 var lines = groups.selectAll("path")
 					.data(function(d) { // because there's a group with data already...
 					return [ d.mortalityRate ]; // it has to be an array for the line function
 					})
 					.enter()
 					.append("path")
 					.attr("class", "line")
 					.attr("d", line)
 		
 lines.attr("stroke", function (d) {
 			if(d.name === "United States"){
 				return "#FF0099";}
 				else{
 					return "#0099FF";
 				}});
 lines.on("mouseover", mouseoverFunc)
 		.on("mousemove", mousemoveFunc)
 		.on("mouseout", mouseoutFunc);


 //Axes
 svg.append("g")
 	.attr("class", "x axis")
 	.attr("transform", "translate(0," + (height - margin.bottom) + ")")
 	.call(xAxis);

 svg.append("g")
 	.attr("class", "y axis")
 	.attr("transform", "translate(" + margin.left + ",0)")
 	.call(yAxis);

 svg.append("text")
 	.attr("class", "xlabel")
 	.attr("transform", "translate(" + width/2 + "," + (height - 5) + ")")
 	.style("text-anchor", "middle")
 	.text("Maternal Mortality Rate (per 100,000 live births)");

 svg.append("text")
 	.attr("class", "ylabel")
 	.attr("transform", "rotate(-90)")
 	.attr("y", 60)
 	.attr("x",0 - (height / 2))
 		        		// .attr("dy", "1em")
 		        		.style("text-anchor", "end")
 		        		.text("Year");


 });

 function mouseoverFunc(d) {
 	return tooltip
 			.style("display", null) // removes the display none setting from it
 			.html("<p>Country: " + d.name );
 		}
 function mousemoveFunc(d) {
 	return tooltip
 			.style("top", (d3.event.pageY - 10) + "px")
 			.style("left", (d3.event.pageX + 10) + "px");
 }
 function mouseoutFunc(d) {
 	return tooltip.style("display", "none"); //sets it up to be invisible
 }
diff --git a/regionsMaternalMortality.csv b/regionsMaternalMortality.csv
diff --git a/style.css b/style.css

 body {
 	background-color: white;
 	font-family: Helvetica, Arial, sans-serif;
 	color: rgb(0,153,255);
 	max-width: 900px;
 	min-width: 400px;
 	/*margin: 1em auto;
 	padding: 1em 3em;*/
 	background-color: #fff;
 }

 h1 {
 	font-size: 24px;
 	margin: 0;
 }

 p {
 	font-size: 14px;
 	margin: 10px 0 0 0;
 }

 svg {
 	background-color: white;
 }

 path.line {
 	fill: none;
 	stroke-width: 2px;
 }

 path:hover
 {
 	stroke: #FF9900;
 }
 .axis path,
 .axis line {
 	fill: none;
 	stroke: black;
 	stroke-width: 1px;
 }

 .axis text {
 	font-family: sans-serif;
 	font-size: 11px;
 }
 .ylabel,.xlabel {
 	font-size: 14px;
 	color: #0099FF;
 }
 text.ylabel {
 	font-size: 20px;
 	color: #0099FF;
 }

 var tooltip = d3.select("body")
 .append("div")
 .attr("class", "tooltip");
	<!DOCTYPE html>
	<!-- Modification of an example by Scott Murray from Knight D3 course -->
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Line Chart with Multiple Lines</title>
	<link href="style.css" rel="stylesheet" type="text/css" />

	</head>
	<body>

	<h1>Maternal Mortality Rate</h1>

	<p>Maternal Mortality Rate, 1990-2013. Subsaharan Africa and South Asia compared to the United States. Source: WHO (2015) Global Health Observatory Data Repository, Source: World Bank</p>

	<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
	<script type="text/javascript" src="multipleLines2.js"></script>

	</body>
	</html>
	//Dimensions and padding
	var width = 700;
	var height = 600;
	var margin = {top: 20, right: 10, bottom: 40, left:100};


	//Set up date formatting and years
	var dateFormat = d3.time.format("%Y");



	//Set up scales
	var xScale = d3.time.scale()
	.range([ margin.left, width - margin.right - margin.left ]);

	var yScale = d3.scale.linear()
	.range([ margin.top, height - margin.bottom ]);

	//Configure axis generators
	var xAxis = d3.svg.axis()
	.scale(xScale)
	.orient("bottom")
	.ticks(6)
	.tickFormat(function(d) {
	return dateFormat(d);
	})
	.outerTickSize([0]);

	var yAxis = d3.svg.axis()
	.scale(yScale)
	.orient("left")
	.outerTickSize([0]);



	//Configure line generator
	// each line dataset must have a d.year and a d.rate for this to work.
	var line = d3.svg.line()
	.x(function(d) {
	return xScale(dateFormat.parse(d.year));
	})
	.y(function(d) {
	return yScale(+d.rate);
	});



	//Create the empty SVG image
	var svg = d3.select("body")
	.append("svg")
	.attr("width", width)
	.attr("height", height);



	//Load data
	d3.csv("regionsMaternalMortality.csv", function(data) {

	//Data is loaded in, but we need to restructure it.
	//Remember, each line requires an array of x/y pairs;
	//that is, an array of arrays, like so:
	//
	// [ [x: 1, y: 1], [x: 2, y: 2], [x: 3, y: 3] ]
	//
	//We, however, are using 'year' as x and 'rate' as y.
	//We also need to know which country belongs to each
	//line, so we will build an array of objects that is
	//structured like this:
	/*

	[
	{
	country: "Australia",
	mortalityRate: [
	{ year: 1961, rate: 90589.568 },
	{ year: 1962, rate: 94912.961 },
	{ year: 1963, rate: 101029.517 },
	…
	]
	},
	{
	country: "Bermuda",
	mortalityRate: [
	{ year: 1961, rate: 176.016 },
	{ year: 1962, rate: 157.681 },
	{ year: 1963, rate: 150.347 },
	…
	]
	},
	…
	]

	*/
	//Note that this is an array of objects. Each object
	//contains two values, 'country' and 'mortalityRate'.
	//The 'mortalityRate' value is itself an array, containing
	//more objects, each one holding 'year' and 'rate' values.

	//New array with all the years, for referencing later
	var years = ["1990", "1995", "2000", "2005", "2010", "2013"];

	// or you could get this by doing:

	// var years = d3.keys(data[0]).slice(0, 54-4); //

	//Create a new, empty array to hold our restructured dataset
	var dataset = [];

	//Loop once for each row in data
	data.forEach(function (d, i) {

	var mortality = [];

	//Loop through all the years - and get the mortalityRate for this data element
	years.forEach(function (y) {

	// If value is not empty
	if (d[y]) {
	//Add a new object to the new mortalityRate data array - for year, rate
	mortality.push({
	year: y,
	rate: d[y] // this is the value for, for example, d["2004"]
	});
	}

	});

	//Create new object with this country's name and empty array
	// d is the current data row... from data.forEach above.
	dataset.push( {
	country: d.name,
	mortalityRate: mortality // we just built this!
	} );

	});

	//Uncomment to log the original data to the console
	// console.log(data);

	//Uncomment to log the newly restructured dataset to the console
	console.log(dataset);


	//Set scale domains - max and mine of the years
	xScale.domain(
	d3.extent(years, function(d) {
	return dateFormat.parse(d);
	}));

	// max of mortalityRate to 0 (reversed, remember)
	yScale.domain([
	d3.max(dataset, function(d) {
	return d3.max(d.mortalityRate, function(d) {
	return +d.rate;
	});
	}),
	0
	]);


	//Make a group for each country
	var groups = svg.selectAll("g")
	.data(dataset)
	.enter()
	.append("g");

	//Append a title with the country name (so we get easy tooltips)
	groups.append("title")
	.text(function(d) {
	return d.country;
	});

	//Within each group, create a new line/path,
	//binding just the mortalityRate data to each one
	var lines = groups.selectAll("path")
	.data(function(d) { // because there's a group with data already...
	return [ d.mortalityRate ]; // it has to be an array for the line function
	})
	.enter()
	.append("path")
	.attr("class", "line")
	.attr("d", line)

	lines.attr("stroke", function (d) {
	if(d.name === "United States"){
	return "#FF0099";}
	else{
	return "#0099FF";
	}});
	lines.on("mouseover", mouseoverFunc)
	.on("mousemove", mousemoveFunc)
	.on("mouseout", mouseoutFunc);


	//Axes
	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + (height - margin.bottom) + ")")
	.call(xAxis);

	svg.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + margin.left + ",0)")
	.call(yAxis);

	svg.append("text")
	.attr("class", "xlabel")
	.attr("transform", "translate(" + width/2 + "," + (height - 5) + ")")
	.style("text-anchor", "middle")
	.text("Maternal Mortality Rate (per 100,000 live births)");

	svg.append("text")
	.attr("class", "ylabel")
	.attr("transform", "rotate(-90)")
	.attr("y", 60)
	.attr("x",0 - (height / 2))
	// .attr("dy", "1em")
	.style("text-anchor", "end")
	.text("Year");


	});

	function mouseoverFunc(d) {
	return tooltip
	.style("display", null) // removes the display none setting from it
	.html("<p>Country: " + d.name );
	}
	function mousemoveFunc(d) {
	return tooltip
	.style("top", (d3.event.pageY - 10) + "px")
	.style("left", (d3.event.pageX + 10) + "px");
	}
	function mouseoutFunc(d) {
	return tooltip.style("display", "none"); //sets it up to be invisible
	}
name	1990	1995	2000	2005	2010	2013
Australia and New Zealand	12.5	10.5	10.5	9	8.5	7
Caribbean	146.5	123.9	107.4	100.2	102	91.5
Central America	142.375	115.5	103.75	90	82.875	80.75
Central Asia	75.2	92.8	77.8	64.2	54.4	48.4
Eastern Africa	965.8823529	862.8235294	728.1176471	605	496.5882353	437.8235294
Eastern Asia	62.8	61.4	66.4	54.8	47	44
Eastern Europe	48.5	35.5	28.2	18.3	17.8	13.6
Melanesia	262.25	209.75	185.5	154.75	133	123.75
Micronesia	210	190	165	145	120	113
Middle Africa	1008.888889	967.7777778	852.2222222	693.3333333	590	532.2222222
North America	9	9	10	14	20	19.5
Northern Africa	238.6666667	203.6666667	170.1666667	142.3333333	120.8333333	112.5
Northern Europe	19.2	17.7	14	10.6	9.5	7.3
Polynesia	110.5	99.5	90	86.5	91	89
South America	152.0833333	131.8333333	126.9166667	113.3333333	108	102.75
South-Eastern Asia	444.7272727	352.2727273	255.9090909	185	135.5454545	118.8181818
Southern Africa	420	380	402	380	280	248
Southern Asia	551.3333333	440.1111111	346.5555556	242.1111111	173.8888889	147
Southern Europe	13.33333333	12	10.83333333	10.58333333	9.583333333	9.083333333
Western Africa	903.75	868.125	766.5	643.3125	547.375	506.4375
Western Asia	72.58823529	65	55.11764706	46.47058824	41.23529412	38.64705882
Western Europe	10	9.428571429	9.142857143	9	8.142857143	7

	body {
	background-color: white;
	font-family: Helvetica, Arial, sans-serif;
	color: rgb(0,153,255);
	max-width: 900px;
	min-width: 400px;
	/*margin: 1em auto;
	padding: 1em 3em;*/
	background-color: #fff;
	}

	h1 {
	font-size: 24px;
	margin: 0;
	}

	p {
	font-size: 14px;
	margin: 10px 0 0 0;
	}

	svg {
	background-color: white;
	}

	path.line {
	fill: none;
	stroke-width: 2px;
	}

	path:hover
	{
	stroke: #FF9900;
	}
	.axis path,
	.axis line {
	fill: none;
	stroke: black;
	stroke-width: 1px;
	}

	.axis text {
	font-family: sans-serif;
	font-size: 11px;
	}
	.ylabel,.xlabel {
	font-size: 14px;
	color: #0099FF;
	}
	text.ylabel {
	font-size: 20px;
	color: #0099FF;
	}

	var tooltip = d3.select("body")
	.append("div")
	.attr("class", "tooltip");