yrochat · August 31, 2015 19:49 · yrochat · Aug 30, 2015
diff --git a/CH_public_spending.csv b/CH_public_spending.csv
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html lang="en">
 	<head>
 		<meta charset="utf-8">
 		<title>Loading CSV Data with D3</title>
 		<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
 	</head>
 	<body>
 		<svg width="960" height="500" />
 		<script type="text/javascript">
 			d3.csv("CH_public_spending.csv", function(data) {
 				console.log(data);
 			});
 			for (i=0; i<50; i++) {
 				d3.selectAll("svg").append("circle").attr("cx", Math.random()*920+20).attr("cy", Math.random()*460+20).attr("r", Math.random()*100).attr("fill", '#'+Math.floor(Math.random()*16777215).toString(16));
 			}
 		</script>
 	</body>
 </html>
	Dépenses totales en milliers de francs	Dépenses totales en francs par habitant	Dépenses totales en francs par habitant	Dépenses d'éducation en milliers de francs	Dépenses d'éducation en francs par habitant	Dépenses d'éducation en francs par habitant	Pourcentage
Zurich	21235238	58469	16505	6290164	15919	4466	29.6
Berne	14420559	49497	13887	3769395	13648	3797	26.1
Lucerne	4567436	36992	11602	1387554	11584	3594	30.4
Uri	488755	45597	13747	112840	10643	3161	23.1
Schwyz	1667038	37325	10976	436568	10032	2914	26.2
Obwald	460599	44071	13477	116891	10717	3237	25.4
Nidwald	452261	44270	12575	131104	11207	3153	29
Glaris	456347	38949	11853	125035	10584	3176	27.4
Zoug	1855086	56970	16110	480909	14730	4125	25.9
Fribourg	4064697	42766	13935	1356815	14340	4656	33.4
Soleure	2997019	38970	11324	832053	11153	3209	27.8
Bâle-Ville	4475423	86269	22515	1297380	26652	6922	29
Bâle-Campagne	3566178	49205	13397	1047099	14043	3786	29.4
Schaffhouse	1030454	44859	12837	242961	11023	3117	23.6
Appenzell Rh.-E	756738	42279	12627	172555	10987	3229	22.8
Appenzell Rh.-I	174186	32820	10953	53932	10418	3431	31
Saint-Gall	6146295	38328	12187	2077303	13576	4265	33.8
Grisons	3764105	65633	18879	689188	12492	3554	18.3
Argovie	6746019	35478	10573	2121318	11479	3381	31
Thurgovie	2942935	35695	11105	945969	12012	3692	32.1
Tessin	4643294	52094	13517	1062261	11951	3109	22.9
Vaud	12245821	48009	15071	3002226	13063	4088	24.5
Valais	5096447	46124	13931	991301	10290	3081	19.5
Neuchâtel	2819239	51079	15557	712857	13393	4084	25.3
Genève	11604503	75133	22810	2572855	18382	5556	22.2
Jura	1177731	52500	16212	259671	11942	3660	22
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Loading CSV Data with D3</title>
	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
	</head>
	<body>
	<svg width="960" height="500" />
	<script type="text/javascript">
	d3.csv("CH_public_spending.csv", function(data) {
	console.log(data);
	});
	for (i=0; i<50; i++) {
	d3.selectAll("svg").append("circle").attr("cx", Math.random()920+20).attr("cy", Math.random()460+20).attr("r", Math.random()100).attr("fill", '#'+Math.floor(Math.random()16777215).toString(16));
	}
	</script>
	</body>
	</html>