joshy · September 19, 2015 19:58
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html lang="en">
  <head>
    <meta charset="utf-8">
    <title>Urban population of Switzerland</title>
    <script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
    <style type="text/css">

      body {
        font-family: Sans-Serif;
        font-size: 13px;
        background-color: #fcfcfa;
      }

      h1 {
        font-size: 17px;
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        fill: steelblue;
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      .axis line {
        fill: none;
        stroke: black;
        shape-rendering: crispEdges;
      }

      .axis text {
        font-size: 12px;
      }

    </style>
  </head>
  <body>
    <h1>Agglomeration population of Switzerland in 1'000 /  year 2013.</h1>
    <p style="width:600px">
    The data is displayed in two charts. The reason is there are a lot of agglomerations
    which have a small population and few communes and a few ones which have a huge population.
    The y-axis shows the number of communes and the x-axis the population in 1'000.
    </p>
    <p><a href="http://www.bfs.admin.ch/xmlns/opendata/je-e-01.02.01.01.03.ods">Source data</a>
    <h2>Agglomerations with a population less/equal than 200'000</h2>
    <div id="smallData"></div>
    <h2>Agglomerations with a population greather than 200'000</h2>
    <div id="bigData"></div>

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      var year = '2013';

      d3.csv("urban-population-of-switzerland.csv", function(data) {
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        data = data.sort(function (a, b) {return d3.ascending(+a[year], +b[year]); });

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            return +d['Number of communes'];
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            return +d['Number of communes'];
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                .duration(1000)
                .attr("r", 4);

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           .attr("class", "y axis")
           .attr("transform", "translate(" + (padding.left - 10) + ",0)")
           .call(yAxis);
        });

    </script>
  </body>
 </html>
diff --git a/urban-population-of-switzerland.csv b/urban-population-of-switzerland.csv
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Urban population of Switzerland</title>
	<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
	<style type="text/css">

	body {
	font-family: Sans-Serif;
	font-size: 13px;
	background-color: #fcfcfa;
	}

	h1 {
	font-size: 17px;
	}

	h2 {
	font-size: 15px;
	}

	a {
	color: steelblue;
	}
	#smallData svg{
	background-color: #fcfcfa;
	}

	#bigData svg {
	background-color: #fcfcfa;
	}

	.circleColor {
	fill: steelblue;
	}

	.axis path,
	.axis line {
	fill: none;
	stroke: black;
	shape-rendering: crispEdges;
	}

	.axis text {
	font-size: 12px;
	}

	</style>
	</head>
	<body>
	<h1>Agglomeration population of Switzerland in 1'000 / year 2013.</h1>
	<p style="width:600px">
	The data is displayed in two charts. The reason is there are a lot of agglomerations
	which have a small population and few communes and a few ones which have a huge population.
	The y-axis shows the number of communes and the x-axis the population in 1'000.
	</p>
	<p><a href="http://www.bfs.admin.ch/xmlns/opendata/je-e-01.02.01.01.03.ods">Source data</a>
	<h2>Agglomerations with a population less/equal than 200'000</h2>
	<div id="smallData"></div>
	<h2>Agglomerations with a population greather than 200'000</h2>
	<div id="bigData"></div>

	<script type="text/javascript">
	var w = 600;
	var h = 400;
	var padding = { top: 10, right: 10, bottom: 20, left: 50 };

	var smallData = d3.select("#smallData")
	.append("svg")
	.attr("width", w)
	.attr("height", h);

	var xScale1 = d3.scale.linear()
	.range([ padding.left, w - padding.right - padding.left ]);

	var yScale1 = d3.scale.linear()
	.range([ padding.top, h - padding.bottom - padding.top]);

	var xAxis1 = d3.svg.axis()
	.scale(xScale1)
	.orient("bottom")
	.ticks(8);

	var yAxis1 = d3.svg.axis()
	.scale(yScale1)
	.orient("left")
	.ticks(8);

	var year = '2013';

	d3.csv("urban-population-of-switzerland.csv", function(data) {
	data = data.filter(function (d) { return +d[year] <= 200; });
	data = data.sort(function (a, b) {return d3.ascending(+a[year], +b[year]); });

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	d3.min(data, function(d) {
	return +d[year];
	}),
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	return +d[year];
	})
	]);

	yScale1.domain([
	d3.max(data, function(d) {
	return +d['Number of communes'];
	}),
	d3.min(data, function(d) {
	return +d['Number of communes'];
	})
	]);

	circles = smallData.selectAll("circle")
	.data(data)
	.enter()
	.append("circle");

	circles.attr("cx", function(d) {
	return xScale1(d[year]);
	})
	.attr("cy", function(d) {
	return yScale1(d['Number of communes']);
	})
	.attr("class", "circleColor")
	.attr("r", 0.5)
	.append("title")
	.text(function (d) {
	return "Population of " + d.Agglomeration + " is " + d[year] +
	" and number of communes is " + d['Number of communes'];
	});

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	.delay(function (d, i) {
	return i * 50;
	})
	.duration(1000)
	.attr("r", 3);

	smallData.append("g")
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	.attr("transform", "translate(0," + (h - padding.bottom - padding.top - 10) + ")")
	.call(xAxis1);

	smallData.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + (padding.left - 10) + ",0)")
	.call(yAxis1);
	});

	</script>

	<script type="text/javascript">
	var w = 600;
	var h = 400;
	var padding = { top: 10, right: 10, bottom: 10, left: 50 };

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	.append("svg")
	.attr("width", w)
	.attr("height", h);

	var xScale = d3.scale.linear()
	.range([ padding.left, w - padding.right - padding.left ]);

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	.range([ padding.top, h - padding.bottom - padding.top]);

	var xAxis = d3.svg.axis()
	.scale(xScale)
	.orient("bottom")
	.ticks(5);

	var yAxis = d3.svg.axis()
	.scale(yScale)
	.orient("left")
	.ticks(5);

	var year = '2013';

	d3.csv("urban-population-of-switzerland.csv", function(data) {
	data = data.filter(function (d) { return +d[year] > 200; });
	data = data.sort(function (a, b) { return d3.ascending(+a[year], +b[year]); });
	xScale.domain([
	d3.min(data, function (d) {
	return +d[year];
	}),
	d3.max(data, function (d) {
	return +d[year];
	})
	]);

	yScale.domain([
	d3.max(data, function (d) {
	return +d['Number of communes'];
	}),
	d3.min(data, function (d) {
	return +d['Number of communes'];
	})
	]);

	circles = bigData.selectAll("circle")
	.data(data)
	.enter()
	.append("circle");

	circles.attr("cx", function(d) {
	return xScale(d[year]);
	})
	.attr("cy", function(d) {
	return yScale(d['Number of communes']);
	})
	.attr("class", "circleColor")
	.attr("r", 1)
	.append("title")
	.text(function (d) {
	return "Population of " + d.Agglomeration + " is " + d[year] +
	" and number of communes is " + d['Number of communes'];
	});

	circles.transition()
	.delay(2000)
	.duration(1000)
	.attr("r", 4);

	bigData.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + (h - padding.bottom - padding.top) + ")")
	.call(xAxis);

	bigData.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + (padding.left - 10) + ",0)")
	.call(yAxis);
	});

	</script>
	</body>
	</html>
Agglomeration	Number of communes	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013
Aarau	17	76.5	76.7	77.6	77.7	78.1	78.2	78.2	78.3	78.7	79.1	79.7	80.3	81	81.8	82.3	83.1	83.8	85.1	86.4	88	89.3	90.7	91.7
Amriswil-Romanshorn	5	22.6	22.9	23.3	23.6	24	24	24.2	24	24	24.1	24	24.2	24.4	24.6	24.7	24.8	25	25.4	25.8	26.3	26.8	27.3	27.7
Arbon-Rorschach	11	54.6	54.9	55.3	55.6	55.7	55.7	55.6	56	56	56.1	56.2	56.4	56.6	56.7	56.7	57	57.8	58.5	59	59.4	59.7	60.1	60.6
Baden-Brugg	22	100.9	101.6	102.5	102.8	103.5	103.7	103.8	104.2	104.8	105.7	107.3	108.2	108.4	108.5	109	110.3	111.9	114.3	115.7	117.7	118.8	120.6	122.4
Basel	74	470.7	473.2	476	477	477.2	478.4	478.3	477.8	478	479.1	479.7	482.2	484.1	485.9	486.1	487	489.9	494.3	498	497.7	500.6	503.9	508.6
Bellinzona	15	42.4	43	43.6	44.3	44.8	44.7	44.8	44.8	45	45.3	45.8	46.5	46.7	47.2	47.5	48	48.6	49.3	49.9	50.1	50.8	51.5	52.2
Bern	41	343.3	342.3	341.6	340.9	339.7	338.7	337.3	338	339.9	340.4	341.7	342.6	343.3	344.3	344.2	345.2	346.7	349.2	351.3	353.7	356	360.1	364.2
Biel/Bienne	19	88.5	88.7	89.3	88.3	87.9	87.4	86.9	86.5	86.2	86.3	86.1	86.7	87.1	87.6	88	88.6	89	90	90.9	92.2	92.9	94	95.2
Brig-Visp	10	29.9	30.4	30.8	31.2	31.5	31.8	32.1	32.2	32.3	32.5	32.5	32.6	32.8	32.9	32.9	33	33.1	33.6	33.9	34.6	35	35.5	36
Buchs (SG) (Vaduz-)	3	19.1	19.7	20	20.3	20.5	20.6	20.7	20.6	20.7	20.8	20.8	20.9	21	21.1	21.3	21.4	21.6	22.1	22.3	22.7	23	23.2	23.6
Bulle	7	17.4	17.8	18.3	18.9	19.3	19.8	20.2	20.6	20.7	20.9	21.3	21.8	22.3	23	23.4	23.8	24.6	25.3	26	27.1	27.9	28.7	29.5
Burgdorf	6	27.1	27.3	27.3	27.2	27.1	27	26.9	27.4	27	26.9	27.1	27.3	27.4	27.5	27.7	27.9	28.1	28.3	28.2	28.5	28.8	29.1	29.5
Chiasso-Mendrisio (Como-)	12	45.1	45.4	45.8	46	46.2	46.1	46.2	46.3	46.7	47	46.8	47.2	47.5	47.8	48	48.3	48.6	49.1	49.3	49.2	49.5	50	50.8
Chur	13	60.6	61.2	61.8	62.3	62.6	62.6	62.9	63.7	64.2	64.5	64.4	65	65.7	66.2	66.4	66.6	67.4	68.4	69.3	70	70.5	71.1	71.7
Davos	1	11.1	11.4	11.5	11.6	11.6	11.8	11.7	11.7	11.6	12.4	11.3	11.2	11.3	11.3	11.2	11.1	11.1	11.1	11.2	11.2	11.1	11.2	11.2
Delémont	6	18.5	18.6	18.7	18.8	19	19	18.9	18.9	18.9	18.9	19	19	19	19	19	19	19.2	19.4	19.5	19.6	19.8	20	20.6
Einsiedeln	1	11	11.2	11.3	11.5	11.7	11.8	12	12.2	12.3	12.5	12.7	12.9	13	13.1	13.4	13.5	13.8	14	14.2	14.4	14.4	14.6	14.9
Frauenfeld	3	24.7	24.9	24.9	25.2	25.3	25.4	25.5	25.9	26.4	26.7	26.9	27.3	27.3	27.5	27.6	27.9	28.1	28.4	28.8	29.2	29.6	30.2	30.6
Fribourg	30	83.3	84.5	85.6	86.3	86.8	87.7	88	88.5	89.2	89.7	91.5	92.5	93.5	94.7	96	97.7	99.6	101.3	103	104.9	107.3	109.7	112.1
Genève	74	429.3	433.4	438.3	443.8	448.6	448.5	451.5	454.5	459.8	466.3	472	477.9	484.5	489	493.4	497.4	503.6	513.2	521.4	526.4	530.7	533.5	541.3
Grenchen	3	25.1	25.2	25.2	25.2	25.2	25.3	25.3	25.2	25.1	25.1	25.1	25.2	25.1	25.1	25	25	25.1	25.2	25.1	25.4	25.4	25.6	25.9
Heerbrugg-Altstätten	10	44.9	45.7	46.4	47	47.6	48	48.1	48.4	48.8	49.1	49.5	49.7	50.1	50.4	50.8	51.2	51.8	52.6	53.1	53.8	54.5	55	55.7
Interlaken	7	19.6	19.8	20	20.3	20.5	20.7	20.6	20.8	21	21.1	21.3	21.5	21.6	21.8	21.9	22	22.3	22.4	22.6	22.7	22.8	22.9	23.2
Kreuzlingen (Konstanz-)	5	23.3	23.6	24.1	24.5	25.1	25.4	25.2	25.1	25.2	24.4	24.6	25	25.5	25.7	25.9	26.2	26.8	27.3	28	28.8	29.3	30.1	30.7
La Chaux-de-Fonds-Le Locle	2	47.8	48	48.4	48.3	48.4	48.3	48	47.7	47.3	47.1	47.2	47.1	47.2	47.1	47	46.9	47	47.4	47.5	47.6	47.9	48.5	49.1
Lachen	7	27.7	28.4	29.1	29.6	30.1	30.6	30.9	31.3	31.7	32.3	32.6	33.2	33.5	33.7	34.1	34.5	35.2	36.4	36.9	37.8	38.3	39	39.7
Langenthal	1	14.4	14.5	14.7	14.7	14.7	14.7	14.2	14.4	14.5	14.5	14.3	14.3	14.3	14.3	14.4	14.6	14.7	14.9	15.1	14.9	15.1	15.2	15.3
Lausanne	63	287.7	288.7	289.6	291.1	292.1	291.7	292	293.6	295.8	297.4	299.7	302.2	305.4	308.5	310.6	313.7	317.6	324.9	331.4	336.8	342.2	345.3	351.5
Lenzburg	7	24.2	24.3	24.7	24.9	25.1	25.4	25.4	25.6	25.7	25.8	26.1	26.3	26.6	26.7	26.9	27.3	27.8	28.4	28.9	29.5	30.2	30.8	31.4
Locarno	16	52.5	53.4	54.1	54.7	55.5	55.4	55.8	55.9	56.3	56.6	57.3	57.6	58.1	58.5	59	59.5	60.2	60.9	61.4	60.9	61.5	62.1	62.7
Lugano	45	112.3	114.2	115.9	118	119.3	119.3	119.6	120.2	121.7	122.6	124	125.1	126	127.1	128.3	129.4	131.5	133.7	135.3	134.1	135.5	138.1	140.7
Luzern	16	185.3	187.9	189.8	190.8	191.5	191.7	191.4	191.1	192.2	193.4	195.3	196.7	197.5	198.3	199.2	200.3	202.5	205.4	207.6	209.8	211.8	214.3	216.1
Lyss	1	11.8	11.7	11.7	11.8	11.9	12.1	12.1	12.4	12.5	12.5	12.7	12.7	12.8	12.8	12.9	12.9	13.2	13.4	13.6	13.7	13.9	14.1	14.2
Martigny	1	13.5	13.8	14	14.1	14.2	14.1	14.1	14	14	13.8	14.5	14.6	14.7	14.9	15	15.2	15.4	15.6	15.8	16.1	16.3	16.9	17.2
Monthey-Aigle	5	30.2	30.7	31.1	31.3	31.5	31.4	31.5	31.7	32.1	32.4	32.6	33.4	33.9	34.4	35.2	35.9	36.4	37.1	37.9	38.8	39.7	40.3	41
Neuchâtel	12	72.5	72.5	72.8	73	73.7	73.7	73.9	74.2	74.4	74.7	74.9	75.2	75.2	76	76.5	76.9	77.6	78	78.4	78.8	79.3	79.6	80.4
Olten-Zofingen	25	97.9	98.5	99.1	99.4	100	100.3	100	100.4	101	101.4	102	102.7	103.3	104.1	104.6	105.5	106.7	108.1	109.1	110.7	111.9	113.3	114.5
Rapperswil-Jona-Rüti	3	38.9	39	39.2	39.2	39.3	39.5	39.8	40	40.4	40.8	41.5	42	42.3	42.7	42.7	43.1	43.8	44.1	44.6	44.9	45.1	45.5	45.7
Schaffhausen	13	62.3	62.6	62.9	63	63	62.8	62.7	62.8	62.9	62.9	63	63.7	64	64	63.9	64	64.8	65.5	65.8	66.5	67.2	67.7	68.4
Schwyz	3	22.1	22.5	22.8	23.1	23.3	23.2	23.4	23.4	23.8	24.3	24.2	24.5	24.8	25	25.2	25.2	25.4	25.5	25.6	26	26.1	26.5	26.7
Sierre-Montana	11	31.8	32.2	32.5	32.5	32.5	32.2	32.1	32.3	32.5	32.4	33.1	33.4	33.8	34.2	34.8	35.2	35.8	36.5	37	37.1	37.5	38	38.7
Sion	10	48.1	49.2	49.9	50.3	50.8	51.3	51.5	52	52.3	52.6	53	53.6	54.3	55.2	56.1	56.8	57.5	58.6	59.5	61	62.1	63.4	64.9
Solothurn	24	70.5	71.3	71.5	71.5	71.8	72.2	72.4	73.3	73.3	73	73.4	73.8	73.9	74	74.1	74.2	74.7	75.3	75.8	76.4	77.1	77.6	78.2
St. Gallen	11	141.8	142.9	143.7	144.5	144.2	144.1	143.6	143.1	143.5	143.9	144.2	145.1	145.5	145.6	145.3	145.6	146.7	148.5	149.6	150.2	151.4	152.4	153.4
St.Moritz	8	12.8	13.1	13.4	13.6	13.8	14.1	14	13.8	13.8	13.8	13.8	13.8	13.9	14.1	14.2	14.3	14.3	14.6	14.8	14.8	15	14.9	15
Stans	7	25.3	25.7	26.2	26.5	26.9	27.1	27.5	27.5	27.8	28.1	28.4	28.6	28.9	29.2	29.5	29.7	29.9	30.3	30.3	30.5	30.8	30.9	31.1
Thun	10	84.6	84.8	85.2	85.7	86.3	86.8	87.2	88	88.4	88.7	89.4	90.3	91.1	91.6	92.2	92.7	93.6	94.4	94.7	95.3	95.6	96	96.6
Vevey-Montreux	17	76.1	76.5	76.5	77	77.5	77.9	78.3	78.6	78.9	79.7	80.9	81.7	82.9	83.9	85.1	86.1	87.6	89.9	91.2	92	93.4	94.6	96.3
Wetzikon-Pfäffikon (ZH)	5	40.1	40.4	40.6	40.7	41.2	41.6	42	42.2	42.9	43.6	44.6	45.4	46	46.3	46.8	47.1	48.2	49.3	50.1	51.4	52.4	53.4	54.1
Wil (SG)	10	59.2	59.6	60.1	60.8	61.2	61.6	61.9	62.5	63.3	63.9	64.7	65.3	65.8	66.2	66.7	67.2	67.9	68.8	69.4	70.1	71	71.8	72.8
Winterthur	12	115	115.2	116	117	117.7	118.1	118.3	119.1	120.2	121.6	122.9	124.4	125.9	127.8	128.7	130.1	132.5	135	137	139.9	142.4	144.2	145.9
Wohlen (AG)	3	19.1	19.2	19.4	19.6	19.9	20	20.1	20.1	20.3	20.5	20.9	21.2	21.3	21.5	21.7	21.8	21.9	22.2	22.6	22.9	23.2	23.9	24.6
Yverdon-les-Bains	7	27.1	27.4	27.5	27.9	28.3	28.4	28.3	28.3	28.5	28.5	28.7	29	29.2	29.7	30.1	30.5	31	31.8	32.7	33.7	34.1	34.7	35.2
Zug	10	82	83.1	84.5	86.2	88.2	89.5	90.7	92.1	93.4	94.9	96.6	98.1	99.3	100.9	102.2	102.9	104.9	106	106.6	108.7	110.7	112.2	113.8
Zürich	131	994.6	1000.2	1003.2	1008.7	1014.9	1017.7	1019.9	1025.8	1035.8	1047.4	1061.2	1074.3	1081.7	1091.6	1101.7	1111.9	1132.2	1154.5	1170.2	1188.6	1204	1217.8	1232.6