amundo · August 16, 2016 00:43
diff --git a/index.html b/index.html
 <!DOCTYPE html>
 <html lang="en">
  <head>
    <meta charset="utf-8">
    <title></title>
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta name="description" content="">
    <meta name="author" content="">    

    <!-- Le styles -->
    <link href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-combined.min.css" rel="stylesheet">

    <style type="text/css">
        body {
        padding-top: 20px;
        padding-bottom: 40px;
        }

        /* Custom container */
        .container-narrow {
        margin: 0 auto;
        max-width: 960px;
        }
        .container-narrow > hr {
        margin: 30px 0;
        }


        .country {
        fill: #ccc;
        stroke: #fff;
        stroke-width: .5px;
        stroke-linejoin: round;
        }

        .country-boundary {
        fill: none;
        stroke: #fff;
        stroke-width: .5px;
        stroke-linejoin: round;
        }
    </style>

    <!-- HTML5 shim, for IE6-8 support of HTML5 elements -->
    <!--[if lt IE 9]>
      <script src="http://html5shim.googlecode.com/svn/trunk/html5.js"></script>
    <![endif]-->

  </head>

  <body>

    <div class="container-narrow">

    <div class="row-fluid marketing">
        <div class="span6" id="map">

        </div>
      </div>


    </div> <!-- /container -->



 <script src="http://d3js.org/d3.v3.min.js"></script>
 <script src="http://d3js.org/d3.geo.projection.v0.min.js"></script>
 <script src="http://d3js.org/topojson.v0.min.js"></script>
 <script>

 var width = 960,
    height = 1160;

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

 // Based the data transformation over the CartoDB
 // $ topojson -o world-data-demo.json world-data.geojson --id-property iso3 -p name,pop2005


 d3.json("world-data-demo.json", function(error, world) {
  svg.append("path")
      .datum(topojson.object(world, world.objects.countries))
      .attr("d", d3.geo.path().projection(d3.geo.mercator()))
      .attr("class", "country");
 });

 </script>




  </body>
 </html>
diff --git a/world-data-demo.json b/world-data-demo.json
diff --git a/world-data.csv b/world-data.csv
diff --git a/world-data.json b/world-data.json
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title></title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta name="description" content="">
	<meta name="author" content="">

	<!-- Le styles -->
	<link href="//netdna.bootstrapcdn.com/twitter-bootstrap/2.3.1/css/bootstrap-combined.min.css" rel="stylesheet">

	<style type="text/css">
	body {
	padding-top: 20px;
	padding-bottom: 40px;
	}

	/* Custom container */
	.container-narrow {
	margin: 0 auto;
	max-width: 960px;
	}
	.container-narrow > hr {
	margin: 30px 0;
	}


	.country {
	fill: #ccc;
	stroke: #fff;
	stroke-width: .5px;
	stroke-linejoin: round;
	}

	.country-boundary {
	fill: none;
	stroke: #fff;
	stroke-width: .5px;
	stroke-linejoin: round;
	}
	</style>

	<!-- HTML5 shim, for IE6-8 support of HTML5 elements -->
	<!--[if lt IE 9]>
	<script src="http://html5shim.googlecode.com/svn/trunk/html5.js"></script>
	<![endif]-->

	</head>

	<body>

	<div class="container-narrow">

	<div class="row-fluid marketing">
	<div class="span6" id="map">

	</div>
	</div>


	</div> <!-- /container -->



	<script src="http://d3js.org/d3.v3.min.js"></script>
	<script src="http://d3js.org/d3.geo.projection.v0.min.js"></script>
	<script src="http://d3js.org/topojson.v0.min.js"></script>
	<script>

	var width = 960,
	height = 1160;

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

	// Based the data transformation over the CartoDB
	// $ topojson -o world-data-demo.json world-data.geojson --id-property iso3 -p name,pop2005


	d3.json("world-data-demo.json", function(error, world) {
	svg.append("path")
	.datum(topojson.object(world, world.objects.countries))
	.attr("d", d3.geo.path().projection(d3.geo.mercator()))
	.attr("class", "country");
	});

	</script>




	</body>
	</html>
fips	iso2	iso3	un	name	notes	rwi_region	rwi_region	rwi_rank	rwi_score	rwi_institutional	rwi_reporting	rwi_safeguard	rwi_enabling	area	pop2005	region	subregion	lon	lat	longitude	latitude
SF	ZA	ZAF	710	South Africa		Sub-Saharan Africa	Sub-Saharan Africa	22	56	57	60	62	39	121447	47938663	2	18	23.121	-30.558	26.12849298	-28.507205
BC	BW	BWA	72	Botswana		Sub-Saharan Africa	Sub-Saharan Africa	30	47	55	28	53	69	56673	1835938	2	18	23.815	-22.182	24.50370655	-22.333345
GB	GA	GAB	266	Gabon		Sub-Saharan Africa	Sub-Saharan Africa	32	46	60	51	39	28	25767	1290693	2	17	11.797	-0.591	11.68262299	-0.820975
AO	AO	AGO	24	Angola		Sub-Saharan Africa	Sub-Saharan Africa	41	42	58	43	52	15	124670	16095214	2	17	17.544	-12.296	18.84260201	-11.9325
CG	CD	COD	180	Democratic Republic of the Congo		Sub-Saharan Africa	Sub-Saharan Africa	44	39	56	45	42	6	226705	58740547	2	17	23.654	-2.876	22.54053576	-4.036388397
CM	CM	CMR	120	Cameroon		Sub-Saharan Africa	Sub-Saharan Africa	47	34	63	33	25	17	46540	17795149	2	17	12.277	5.133	13.66583912	7.36792
EK	GQ	GNQ	226	Equatorial Guinea		Sub-Saharan Africa	Sub-Saharan Africa	56	13	27	14	4	4	2805	484098	2	17	10.488	1.607	10.44908329	1.67282
MO	MA	MAR	504	Morocco		Middle East & North Africa	Middle East & North Africa	24	53	80	47	63	32	44630	30494991	2	15	-5.758	32.706	-6.594759165	31.7915
EG	EG	EGY	818	Egypt		Middle East & North Africa	Middle East & North Africa	38	43	40	44	48	40	99545	72849793	2	15	29.872	26.494	29.52781265	26.822635
AG	DZ	DZA	12	Algeria		Middle East & North Africa	Middle East & North Africa	45	38	57	41	28	26	238174	32854159	2	15	2.632	28.163	0.628991924	28.03139
SU	SD	SDN	736	Sudan		Sub-Saharan Africa	Sub-Saharan Africa	50	31	80	17	35	8	237600	36899747	2	15	30.05	13.832	29.03242543	12.862805
LY	LY	LBY	434	Libya		Sub-Saharan Africa	Sub-Saharan Africa	55	19	11	29	15	10	175954	5918217	2	15	18.023	27.044	17.31801357	26.335105
ZA	ZM	ZMB	894	Zambia		Sub-Saharan Africa	Sub-Saharan Africa	17	61	71	62	72	37	74339	11478317	2	14	26.32	-14.614	25.40189571	-13.07585
TZ	TZ	TZA	834	Tanzania		Sub-Saharan Africa	Sub-Saharan Africa	27	50	44	48	68	42	88359	38477873	2	14	34.823	-6.27	34.31457313	-6.363525
MZ	MZ	MOZ	508	Mozambique		Sub-Saharan Africa	Sub-Saharan Africa	46	37	58	26	37	37	78409	20532675	2	14	37.923	-14.422	34.6654016	-18.662655
ZI	ZW	ZWE	716	Zimbabwe		Sub-Saharan Africa	Sub-Saharan Africa	51	31	48	23	56	6	38685	13119679	2	14	29.872	-19	29.31345625	-19.023315
GH	GH	GHA	288	Ghana		Sub-Saharan Africa	Sub-Saharan Africa	15	63	79	51	73	59	22754	2253501	2	11	-1.207	7.96	-0.97188135	7.934685
LI	LR	LBR	430	Liberia		Sub-Saharan Africa	Sub-Saharan Africa	16	62	83	62	71	31	9632	3441796	2	11	-9.657	6.682	-9.640549464	6.420595
GV	GN	GIN	324	Guinea		Sub-Saharan Africa	Sub-Saharan Africa	33	46	86	45	43	11	24572	9002656	2	11	-10.942	10.439	-9.604389027	9.938055
SL	SL	SLE	694	Sierra Leone		Sub-Saharan Africa	Sub-Saharan Africa	35	46	52	47	59	24	7162	5586403	2	11	-11.792	8.56	-11.89402953	8.462295
NI	NG	NGA	566	Nigeria		Sub-Saharan Africa	Sub-Saharan Africa	40	43	66	38	53	18	91077	141356083	2	11	8.105	9.594	7.846100339	9.01111
PP	PG	PNG	598	Papua New Guinea		East Asia & Pacific	East Asia & Pacific	39	43	59	34	50	38	45286	6069715	9	54	143.459	-5.949	144.4353529	-6.65382
AS	AU	AUS	36	Australia	Western Australia	OECD	OECD	4	85	88	87	65	96	768230	20310208	9	53	136.189	-24.973	133.1235564	-25.00708
TD	TT	TTO	780	Trinidad and Tobago		Latin America & Caribbean	Latin America & Caribbean	10	74	64	83	86	52	513	1323722	19	29	-61.253	10.468	-61.24863405	10.42
US	US	USA	840	United States	Gulf of Mexico	OECD	OECD	2	92	88	97	89	90	915896	299846449	19	21	-98.606	39.622	-99.61218582	37.237355
CA	CA	CAN	124	Canada	Alberta	OECD	OECD	7	76	67	72	74	96	909351	32270507	19	21	-109.433	59.081	-110.7203678	56.81443
MX	MX	MEX	484	Mexico		Latin America & Caribbean	Latin America & Caribbean	6	77	84	83	81	53	190869	104266392	19	13	-102.535	23.951	-102.271892	23.634505
BR	BR	BRA	76	Brazil		Latin America & Caribbean	Latin America & Caribbean	5	80	82	78	96	66	845942	186830759	19	5	-53.089	-10.772	-49.69304742	-14.261725
CI	CL	CHL	152	Chile		Latin America & Caribbean	Latin America & Caribbean	8	75	77	74	65	87	74880	16295102	19	5	-69.433	-23.389	-71.56248524	-35.695835
CO	CO	COL	170	Colombia		Latin America & Caribbean	Latin America & Caribbean	9	74	75	73	91	58	103870	4494579	19	5	-73.076	3.9	-72.50291368	4.10837
PE	PE	PER	604	Peru		Latin America & Caribbean	Latin America & Caribbean	11	73	88	83	57	55	128000	27274266	19	5	-75.552	-9.326	-75.82823046	-9.2287
EC	EC	ECU	218	Ecuador		Latin America & Caribbean	Latin America & Caribbean	18	58	70	64	65	28	27684	13060993	19	5	-78.497	-1.385	-78.36241409	-1.785675
VE	VE	VEN	862	Venezuela		Latin America & Caribbean	Latin America & Caribbean	20	56	57	69	67	18	88205	26725573	19	5	-66.166	7.125	-65.40413507	6.4225
BL	BO	BOL	68	Bolivia		Latin America & Caribbean	Latin America & Caribbean	25	53	48	60	56	42	108438	9182015	19	5	-64.671	-16.715	-63.59768311	-16.285695
AJ	AZ	AZE	31	Azerbaijan		Europe & Central Asia	Eurasia & South Asia	28	48	57	54	51	24	8260	8352021	142	145	47.395	40.43	47.77542515	40.169735
IZ	IQ	IRQ	368	Iraq		Middle East & North Africa	Middle East & North Africa	29	47	57	52	63	9	43737	27995984	142	145	43.772	33.048	42.50818972	33.24446
BA	BH	BHR	48	Bahrain		Middle East & North Africa	Middle East & North Africa	31	47	38	40	59	58	71	724788	142	145	50.562	26.019	50.51466253	26.02208
YM	YE	YEM	887	Yemen		Middle East & North Africa	Middle East & North Africa	37	43	57	46	52	16	52797	21095679	142	145	48.355	15.807	49.37157138	15.79606
KU	KW	KWT	414	Kuwait		Middle East & North Africa	Middle East & North Africa	42	41	28	43	36	57	1782	2700	142	145	47.376	29.476	47.36353645	29.278885
SA	SA	SAU	682	Saudi Arabia		Middle East & North Africa	Middle East & North Africa	48	34	30	35	31	38	214969	2361236	142	145	44.585	24.023	45.07084156	23.885945
QA	QA	QAT	634	Qatar		Middle East & North Africa	Middle East & North Africa	54	26	15	14	20	66	1100	796186	142	145	51.191	25.316	51.22798832	25.335165
KZ	KZ	KAZ	398	Kazakhstan		Europe & Central Asia	Eurasia & South Asia	19	57	62	58	76	32	269970	15210609	142	143	67.301	48.16	66.47212059	47.970825
TX	TM	TKM	795	Turkmenistan		Europe & Central Asia	Eurasia & South Asia	57	5	13	4	0	3	46993	4833266	142	143	59.384	39.122	59.2464492	38.89985
TT	TL	TLS	626	Timor-Leste		East Asia & Pacific	East Asia & Pacific	13	68	77	82	70	28	1487	1067285	142	35	125.878	-8.822	125.5706078	-8.95673
ID	ID	IDN	360	Indonesia		East Asia & Pacific	East Asia & Pacific	14	66	76	66	75	46	181157	226063044	142	35	114.252	-0.976	113.240544	0.05125
RP	PH	PHL	608	Philippines		East Asia & Pacific	East Asia & Pacific	23	54	63	54	51	46	29817	84566163	142	35	122.466	11.118	125.161182	7.686248779
MY	MY	MYS	458	Malaysia		East Asia & Pacific	East Asia & Pacific	34	46	39	45	39	60	32855	25652985	142	35	102.195	4.201	102.0496328	3.99032
VM	VN	VNM	704	Vietnam		East Asia & Pacific	East Asia & Pacific	43	41	63	39	31	30	32549	85028643	142	35	105.314	21.491	107.7987124	15.96375
CB	KH	KHM	116	Cambodia		East Asia & Pacific	East Asia & Pacific	52	29	52	13	46	20	17652	13955507	142	35	104.564	12.714	105.0995633	12.56568
BM	MM	MMR	104	Myanmar		East Asia & Pacific	East Asia & Pacific	58	4	8	5	2	2	65755	47967266	142	35	96.041	21.718	95.99194968	19.26486
IN	IN	IND	356	India		South Asia	Eurasia & South Asia	12	70	60	72	83	61	297319	1134403141	142	34	78.5	21	80.24721817	21.786635
AF	AF	AFG	4	Afghanistan		South Asia	Eurasia & South Asia	49	33	63	29	38	8	65209	25067407	142	34	65.216	33.677	65.24004	33.939115
IR	IR	IRN	364	Iran (Islamic Republic of)		Middle East & North Africa	Middle East & North Africa	53	28	26	33	26	23	163620	69420607	142	34	54.301	32.565	53.95007645	32.489095
MG	MN	MNG	496	Mongolia		East Asia & Pacific	East Asia & Pacific	26	51	80	39	49	48	156650	2580704	142	30	102.876	46.056	105.3303557	46.862495
CH	CN	CHN	156	China		East Asia & Pacific	East Asia & Pacific	36	43	43	46	46	36	932743	1312978855	142	30	106.514	33.42	98.40326854	36.880135
NO	NO	NOR	578	Norway		OECD	OECD	1	98	100	97	98	98	30625	4638836	150	154	8.74	61.152	12.68715434	64.591665
UK	GB	GBR	826	United Kingdom		OECD	OECD	3	88	79	91	83	93	24193	60244834	150	154	-1.6	53	-1.928351582	54.30139
RS	RU	RUS	643	Russian Federation		Europe & Central Asia	Eurasia & South Asia	21	56	69	31	75	72	1638094	143953092	150	151	96.689	61.988	88.41604233	59.43595