gistfile1.txt

		d3.csv('cancer_survival_rates.csv', function(csv) {
			var dataset = []
			for (var i=0; i<csv.length; i++) {
				// console.log(data[i])
				dataset.push( csv[i] )
			}

		// // layout variables
				var pad = 50;
				var hh = 1200;
				var ww = 600;

				var xmarks=[0,175,275,375,475]

					var svg = d3.select("body")
					            .append("svg")
					            .attr("width", 1800)
					            .attr("height", 1200);

					five=[]
					ten=[]
					fifteen=[]
					
					for (i = 0; i<dataset.length; i++) {
						five.push(dataset[i][5])
						ten.push(dataset[i][10])
						fifteen.push(dataset[i][15])
					}
					var master=d3.transpose([five,ten,fifteen])
					// console.log(master)

	
					var line = d3.svg.line()
				    .interpolate("basis")
				    .x(function(d, i) { return })
				    .y(master);
						
						var group = svg
						svg.selectAll(".line")
					    .data(dataset)
					  	.enter().append("path")
					    .attr("class", "line")
					    .attr("d", line)
							.attr({
								'x': function(d) { console.log(d)
									// console.log(d)
									return _.keys(d)}
							})
		})
		// console.log(dataset)



// data
 
group,5,10,15,20
Oral cavity,56.7,44.2,37.5,33
Oesophagus,14.2,7.9,7.7,5.4
Stomach,23.8,19.4,19,14.9
Colon,61.7,55.4,53.9,52.3
Rectum,62.6,55.2,51.8,49.2
Liver and intrahepatic bile duct,7.5,5.8,6.3,7.6
Pancreas,4,3,2.7,2.7
Larynx,68.8,56.7,45.8,37.8
Lung and bronchus,15,10.6,8.1,6.5
Melanomas,89,86.7,83.5,82.8
Breast,86.4,78.3,71.3,65
Cervix uteri,70.5,64.1,62.8,60
Corpus uteri and uterus,84.3,83.2,80.8,79.2
Ovary,55,49.3,49.9,49.6
Prostate,98.8,95.2,87.1,81.1
Testis,94.7,94,91.1,88.2
Urinary bladder,82.1,76.2,70.3,67.9
Kidney and renal pelvis,61.8,54.4,49.8,47.3
Brain and other nervous system,32,29.2,27.6,26.1
Thyroid,96,95.8,94,95.4
Hodgkin's disease,85.1,79.8,73.8,67.1
Non-Hodgkin lymphomas,57.8,46.3,38.3,34.3
Multiple myeloma,29.5,12.7,7,4.8
Leukaemias,42.5,32.4,29.7,26.2