Availability of your favorite fruits in the US, 1970-2012

<!DOCTYPE html>
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Fruits Availability Per Capita in the US, 1970-2012</title>
		<script type="text/javascript" src="https://d3js.org/d3.v3.js"></script>
		<style type="text/css">
			
			body {
				background-color: white;
				font-family: Helvetica, Arial, sans-serif;
			}

h1 {
				font-family: Cambria, Georgia, serif; font-size: 24px;
				margin-left: 100px; color: dimgray;
			}
            h2 {
				font-family: Helvetica, Ariel, sans-serif; font-size: 14px;
				margin-left: 100px; color: dimgray;
			}
            
            blockquote {margin-left: 110px;}
			
            p {
				font-size: 10px;
                color: dimgray;
				margin: 10px 0 0 0;
			}

svg {
				background-color: white;
			}

circle:hover {
				fill: blue;
			}

path {
				stroke: gray;
				stroke-width: 0.5;
			}

g.highlight path {
				stroke: gray;
				stroke-width: 4;
			}
			
            path:hover {
				stroke: #ff4444;
				stroke-width: 4;
			}
			.axis path,
			.axis line {
				fill: none;
				stroke: gray;
				stroke-width: 1;
				shape-rendering: crispEdges;
			}
			
			.axis text {
				font-family: sans-serif;
				font-size: 11px;
			}
            text.label {
        font-size: 12px;
      }

</style>
	</head>
	<body>

<h1>Availability of Your Favorite Fruits Over the Years</h1>
        <h2>Fruits availability in the United States, pounds per capita by type, 1970-2012</h2>

//Dimensions and padding
			var w = 1100;
			var h = 800;
			var padding = [ 20, 10, 50, 100 ];  //Top, right, bottom, left

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

//Set up scales
			var xScale = d3.time.scale()
								.range([ padding[3], w - padding[1] - padding[3] ]);
			
			var yScale = d3.scale.linear()
								.range([ padding[0], h - padding[2] ]);

//Configure axis generators
			var xAxis = d3.svg.axis()
							.scale(xScale)
							.orient("bottom")
							.ticks(30)
							.tickFormat(function(d) {
								return dateFormat(d);
							});

var yAxis = d3.svg.axis()
							.scale(yScale)
							.orient("left");

//Configure line generator
			var line = d3.svg.line()
				.x(function(d) {
					return xScale(dateFormat.parse(d.year));
				})
				.y(function(d) {
					return yScale(+d.amount);
				});

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

//Load data
			d3.csv("fruits-availablity-pounds-per-capita-by-year-transpose.csv", function(data) {

var years = ["1970", "1971", "1972", "1973", "1974", "1975", "1976", "1977", "1978", "1979", "1980", "1981", "1982", "1983", "1984", "1985", "1986", "1987", "1988", "1989", "1990", "1991", "1992", "1993", "1994", "1995", "1996", "1997", "1998", "1999", "2000", "2001", "2002", "2003", "2004", "2005", "2006", "2007", "2008", "2009", "2010", "2011", "2012"];

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

//Loop once for each row in data
				for (var i = 0; i < data.length; i++) {

//Create new object with this country's name and empty array
					dataset[i] = {
						fruit: data[i].Fruit,
						pounds: []
					};

//Loop through all the years
					for (var j = 0; j < years.length; j++) {

// If value is not empty
						if (data[i][years[j]]) {
							//Add a new object to the emissions data array
							//for this country
							dataset[i].pounds.push({
								year: years[j],
								amount: data[i][years[j]]
							});
						}

}

}
				
				//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
				xScale.domain([ 
					d3.min(years, function(d) {
						return dateFormat.parse(d);
					}),
					d3.max(years, function(d) {
						return dateFormat.parse(d);
					})
				]);

yScale.domain([ 
					d3.max(dataset, function(d) {
						return d3.max(d.pounds, function(d) {
							return +d.amount;
						});
					}),
					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.fruit;
					});

//Within each group, create a new line/path,
				//binding just the emissions data to each one
				groups.selectAll("path")
					.data(function(d) {
						return [ d.pounds ];
					})
					.enter()
					.append("path")
					.attr("class", "line")
					.attr("d", line)
					.attr("fill", "none")
					.attr("stroke-width", 2);

//Axes
				svg.append("g")
					.attr("class", "x axis")
					.attr("transform", "translate(0," + (h - padding[2]) + ")")
					.call(xAxis);

svg.append("g")
					.attr("class", "y axis")
					.attr("transform", "translate(" + (padding[3]) + ",0)")
					.call(yAxis);

});
			//End data load function

</script>

<blockquote><p>Source: Calculated by ERS/USDA based on data from various sources (see https://www.ers.usda.gov/data-products/food-availability-(per-capita)-data-system/food-availability-documentation.aspx). Data last updated Feb. 1, 2014.</p></blockquote>
	</body>
</html>

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

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