diegovalle/index.html

## index.html
<!doctype HTML>
<meta charset = 'utf-8'>
<html>
  <head>

    <script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script>
    <script src='http://d3js.org/topojson.v1.min.js' type='text/javascript'></script>
    <script src='http://datamaps.github.io/scripts/datamaps.all.min.js' type='text/javascript'></script>
    <script src='http://cdnjs.cloudflare.com/ajax/libs/handlebars.js/1.0.0/handlebars.min.js' type='text/javascript'></script>
    <script src='http://cdnjs.cloudflare.com/ajax/libs/angular.js/1.2.1/angular.min.js' type='text/javascript'></script>

    <style>
    .rChart {
      display: block;
      margin-left: auto;
      margin-right: auto;
      width: 800px;
      height: 400px;
    }
    </style>

  </head>
  <body ng-app ng-controller='rChartsCtrl'>


      <div id = 'chart_1' class = 'rChart datamaps'>
      <input id='slider' type='range' min=1997 max=2013 ng-model='year' width=200>
      <span ng-bind='year'></span>

      <script>
        function rChartsCtrl($scope){
          $scope.year = '2013';
          $scope.$watch('year', function(newYear){
            mapchart_1.updateChoropleth(chartParams.newData[newYear]);
          })
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"rate": 4.0864,
"name": "Baja California Sur",
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"population": 2.317e+06,
"rate": 7.1212,
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},
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"rate": 16.522,
"name": "Colima",
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},
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"population": 3.9983e+06,
"rate":  34.99,
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},
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"name": "Chihuahua",
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},
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"rate": 10.625,
"name": "Distrito Federal",
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"population": 1.4822e+06,
"rate": 9.0408,
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"fillKey": "(-0.11,12]"
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"population": 5.0763e+06,
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"name": "Guanajuato",
"fillKey": "(-0.11,12]"
},
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"population": 3.2043e+06,
"rate": 40.757,
"name": "Guerrero",
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"population": 1.5933e+06,
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"population": 9.3747e+05,
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"population": 5.2511e+06,
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"population": 1.5552e+06,
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"population": 9.4034e+05,
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"population": 2.3915e+06,
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"population": 2.5397e+06,
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"population": 2.2915e+06,
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"population": 1.0122e+06,
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"population": 7.2339e+06,
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"population": 2.6303e+06,
"rate": 17.336,
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"population": 4.81e+05,
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"population": 7.146e+05,
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"population": 2.4349e+06,
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"population": 5.2488e+06,
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"population": 3.2768e+06,
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"population": 1.6487e+06,
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"population": 5.4311e+06,
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"population": 1.0564e+06,
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"population": 2.4453e+06,
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"population": 2.6339e+06,
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"population": 2.4184e+06,
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"population": 2.9801e+06,
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"population": 1.7055e+06,
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"total":     44,
"population": 1.2346e+06,
"rate": 3.5638,
"name": "Aguascalientes",
"fillKey": "(-0.11,12]"
},
"Baja California": {
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"year": 2012,
"type": "DOLOSOS",
"total":    590,
"population": 3.3307e+06,
"rate": 17.714,
"name": "Baja California",
"fillKey": "(12,25]"
},
"Baja California Sur": {
 "state_code": 3,
"year": 2012,
"type": "DOLOSOS",
"total":     35,
"population": 6.9636e+05,
"rate": 5.0261,
"name": "Baja California Sur",
"fillKey": "(-0.11,12]"
},
"Campeche": {
 "state_code": 4,
"year": 2012,
"type": "DOLOSOS",
"total":     69,
"population": 8.6695e+05,
"rate":  7.959,
"name": "Campeche",
"fillKey": "(-0.11,12]"
},
"Coahuila de Zaragoza": {
 "state_code": 5,
"year": 2012,
"type": "DOLOSOS",
"total":    767,
"population": 2.8558e+06,
"rate": 26.858,
"name": "Coahuila de Zaragoza",
"fillKey": "(25,37]"
},
"Colima": {
 "state_code": 6,
"year": 2012,
"type": "DOLOSOS",
"total":    287,
"population": 6.8591e+05,
"rate": 41.842,
"name": "Colima",
"fillKey": "(37,49]"
},
"Chiapas": {
 "state_code": 7,
"year": 2012,
"type": "DOLOSOS",
"total":    573,
"population": 5.0533e+06,
"rate": 11.339,
"name": "Chiapas",
"fillKey": "(-0.11,12]"
},
"Chihuahua": {
 "state_code": 8,
"year": 2012,
"type": "DOLOSOS",
"total":   1997,
"population": 3.6001e+06,
"rate": 55.471,
"name": "Chihuahua",
"fillKey": "(49,62]"
},
"Distrito Federal": {
 "state_code": 9,
"year": 2012,
"type": "DOLOSOS",
"total":    779,
"population": 8.9108e+06,
"rate": 8.7422,
"name": "Distrito Federal",
"fillKey": "(-0.11,12]"
},
"Durango": {
 "state_code": 10,
"year": 2012,
"type": "DOLOSOS",
"total":    618,
"population": 1.7105e+06,
"rate": 36.131,
"name": "Durango",
"fillKey": "(25,37]"
},
"Guanajuato": {
 "state_code": 11,
"year": 2012,
"type": "DOLOSOS",
"total":    771,
"population": 5.6701e+06,
"rate": 13.598,
"name": "Guanajuato",
"fillKey": "(12,25]"
},
"Guerrero": {
 "state_code": 12,
"year": 2012,
"type": "DOLOSOS",
"total":   2310,
"population": 3.5003e+06,
"rate": 65.994,
"name": "Guerrero",
"fillKey": "(62,74]"
},
"Hidalgo": {
 "state_code": 13,
"year": 2012,
"type": "DOLOSOS",
"total":     83,
"population": 2.7704e+06,
"rate": 2.9959,
"name": "Hidalgo",
"fillKey": "(-0.11,12]"
},
"Jalisco": {
 "state_code": 14,
"year": 2012,
"type": "DOLOSOS",
"total":   1184,
"population": 7.648e+06,
"rate": 15.481,
"name": "Jalisco",
"fillKey": "(12,25]"
},
"México": {
 "state_code": 15,
"year": 2012,
"type": "DOLOSOS",
"total":   2130,
"population": 1.6117e+07,
"rate": 13.216,
"name": "México",
"fillKey": "(12,25]"
},
"Michoacán de Ocampo": {
 "state_code": 16,
"year": 2012,
"type": "DOLOSOS",
"total":    755,
"population": 4.496e+06,
"rate": 16.793,
"name": "Michoacán de Ocampo",
"fillKey": "(12,25]"
},
"Morelos": {
 "state_code": 17,
"year": 2012,
"type": "DOLOSOS",
"total":    862,
"population": 1.8518e+06,
"rate":  46.55,
"name": "Morelos",
"fillKey": "(37,49]"
},
"Nayarit": {
 "state_code": 18,
"year": 2012,
"type": "DOLOSOS",
"total":    244,
"population": 1.1564e+06,
"rate":   21.1,
"name": "Nayarit",
"fillKey": "(12,25]"
},
"Nuevo León": {
 "state_code": 19,
"year": 2012,
"type": "DOLOSOS",
"total":   1459,
"population": 4.8719e+06,
"rate": 29.947,
"name": "Nuevo León",
"fillKey": "(25,37]"
},
"Oaxaca": {
 "state_code": 20,
"year": 2012,
"type": "DOLOSOS",
"total":    472,
"population": 3.9319e+06,
"rate": 12.004,
"name": "Oaxaca",
"fillKey": "(-0.11,12]"
},
"Puebla": {
 "state_code": 21,
"year": 2012,
"type": "DOLOSOS",
"total":    578,
"population": 6.0047e+06,
"rate": 9.6258,
"name": "Puebla",
"fillKey": "(-0.11,12]"
},
"Querétaro": {
 "state_code": 22,
"year": 2012,
"type": "DOLOSOS",
"total":    110,
"population": 1.914e+06,
"rate":  5.747,
"name": "Querétaro",
"fillKey": "(-0.11,12]"
},
"Quintana Roo": {
 "state_code": 23,
"year": 2012,
"type": "DOLOSOS",
"total":    250,
"population": 1.442e+06,
"rate": 17.337,
"name": "Quintana Roo",
"fillKey": "(12,25]"
},
"San Luis Potosí": {
 "state_code": 24,
"year": 2012,
"type": "DOLOSOS",
"total":    396,
"population": 2.6763e+06,
"rate": 14.796,
"name": "San Luis Potosí",
"fillKey": "(12,25]"
},
"Sinaloa": {
 "state_code": 25,
"year": 2012,
"type": "DOLOSOS",
"total":   1464,
"population": 2.9068e+06,
"rate": 50.365,
"name": "Sinaloa",
"fillKey": "(49,62]"
},
"Sonora": {
 "state_code": 26,
"year": 2012,
"type": "DOLOSOS",
"total":    501,
"population": 2.8115e+06,
"rate":  17.82,
"name": "Sonora",
"fillKey": "(12,25]"
},
"Tabasco": {
 "state_code": 27,
"year": 2012,
"type": "DOLOSOS",
"total":    124,
"population": 2.3101e+06,
"rate": 5.3678,
"name": "Tabasco",
"fillKey": "(-0.11,12]"
},
"Tamaulipas": {
 "state_code": 28,
"year": 2012,
"type": "DOLOSOS",
"total":   1016,
"population": 3.421e+06,
"rate": 29.699,
"name": "Tamaulipas",
"fillKey": "(25,37]"
},
"Tlaxcala": {
 "state_code": 29,
"year": 2012,
"type": "DOLOSOS",
"total":     59,
"population": 1.2254e+06,
"rate": 4.8149,
"name": "Tlaxcala",
"fillKey": "(-0.11,12]"
},
"Veracruz de Ignacio de la Llave": {
 "state_code": 30,
"year": 2012,
"type": "DOLOSOS",
"total":    968,
"population": 7.8611e+06,
"rate": 12.314,
"name": "Veracruz de Ignacio de la Llave",
"fillKey": "(12,25]"
},
"Yucatán": {
 "state_code": 31,
"year": 2012,
"type": "DOLOSOS",
"total":     38,
"population": 2.0378e+06,
"rate": 1.8647,
"name": "Yucatán",
"fillKey": "(-0.11,12]"
},
"Zacatecas": {
 "state_code": 32,
"year": 2012,
"type": "DOLOSOS",
"total":    195,
"population": 1.5372e+06,
"rate": 12.685,
"name": "Zacatecas",
"fillKey": "(12,25]"
}
},
"2013": {
 "Aguascalientes": {
 "state_code": 1,
"year": 2013,
"type": "DOLOSOS",
"total":     39,
"population": 1.253e+06,
"rate": 3.1126,
"name": "Aguascalientes",
"fillKey": "(-0.11,12]"
},
"Baja California": {
 "state_code": 2,
"year": 2013,
"type": "DOLOSOS",
"total":    774,
"population": 3.3832e+06,
"rate": 22.878,
"name": "Baja California",
"fillKey": "(12,25]"
},
"Baja California Sur": {
 "state_code": 3,
"year": 2013,
"type": "DOLOSOS",
"total":     56,
"population": 7.1915e+05,
"rate": 7.7869,
"name": "Baja California Sur",
"fillKey": "(-0.11,12]"
},
"Campeche": {
 "state_code": 4,
"year": 2013,
"type": "DOLOSOS",
"total":     67,
"population": 8.8087e+05,
"rate": 7.6061,
"name": "Campeche",
"fillKey": "(-0.11,12]"
},
"Coahuila de Zaragoza": {
 "state_code": 5,
"year": 2013,
"type": "DOLOSOS",
"total":    645,
"population": 2.8916e+06,
"rate": 22.306,
"name": "Coahuila de Zaragoza",
"fillKey": "(12,25]"
},
"Colima": {
 "state_code": 6,
"year": 2013,
"type": "DOLOSOS",
"total":    178,
"population": 6.988e+05,
"rate": 25.472,
"name": "Colima",
"fillKey": "(25,37]"
},
"Chiapas": {
 "state_code": 7,
"year": 2013,
"type": "DOLOSOS",
"total":    540,
"population": 5.1219e+06,
"rate": 10.543,
"name": "Chiapas",
"fillKey": "(-0.11,12]"
},
"Chihuahua": {
 "state_code": 8,
"year": 2013,
"type": "DOLOSOS",
"total":   1443,
"population": 3.6375e+06,
"rate":  39.67,
"name": "Chihuahua",
"fillKey": "(37,49]"
},
"Distrito Federal": {
 "state_code": 9,
"year": 2013,
"type": "DOLOSOS",
"total":    749,
"population": 8.8928e+06,
"rate": 8.4225,
"name": "Distrito Federal",
"fillKey": "(-0.11,12]"
},
"Durango": {
 "state_code": 10,
"year": 2013,
"type": "DOLOSOS",
"total":    476,
"population": 1.7292e+06,
"rate": 27.528,
"name": "Durango",
"fillKey": "(25,37]"
},
"Guanajuato": {
 "state_code": 11,
"year": 2013,
"type": "DOLOSOS",
"total":    641,
"population": 5.7216e+06,
"rate": 11.203,
"name": "Guanajuato",
"fillKey": "(-0.11,12]"
},
"Guerrero": {
 "state_code": 12,
"year": 2013,
"type": "DOLOSOS",
"total":   2087,
"population": 3.5247e+06,
"rate": 59.211,
"name": "Guerrero",
"fillKey": "(49,62]"
},
"Hidalgo": {
 "state_code": 13,
"year": 2013,
"type": "DOLOSOS",
"total":    124,
"population": 2.8078e+06,
"rate": 4.4163,
"name": "Hidalgo",
"fillKey": "(-0.11,12]"
},
"Jalisco": {
 "state_code": 14,
"year": 2013,
"type": "DOLOSOS",
"total":   1096,
"population": 7.746e+06,
"rate": 14.149,
"name": "Jalisco",
"fillKey": "(12,25]"
},
"México": {
 "state_code": 15,
"year": 2013,
"type": "DOLOSOS",
"total":   1932,
"population": 1.6375e+07,
"rate": 11.799,
"name": "México",
"fillKey": "(-0.11,12]"
},
"Michoacán de Ocampo": {
 "state_code": 16,
"year": 2013,
"type": "DOLOSOS",
"total":    961,
"population": 4.5312e+06,
"rate": 21.209,
"name": "Michoacán de Ocampo",
"fillKey": "(12,25]"
},
"Morelos": {
 "state_code": 17,
"year": 2013,
"type": "DOLOSOS",
"total":    597,
"population": 1.8751e+06,
"rate": 31.838,
"name": "Morelos",
"fillKey": "(25,37]"
},
"Nayarit": {
 "state_code": 18,
"year": 2013,
"type": "DOLOSOS",
"total":    151,
"population": 1.1793e+06,
"rate": 12.804,
"name": "Nayarit",
"fillKey": "(12,25]"
},
"Nuevo León": {
 "state_code": 19,
"year": 2013,
"type": "DOLOSOS",
"total":    719,
"population": 4.9441e+06,
"rate": 14.543,
"name": "Nuevo León",
"fillKey": "(12,25]"
},
"Oaxaca": {
 "state_code": 20,
"year": 2013,
"type": "DOLOSOS",
"total":    536,
"population": 3.9601e+06,
"rate": 13.535,
"name": "Oaxaca",
"fillKey": "(12,25]"
},
"Puebla": {
 "state_code": 21,
"year": 2013,
"type": "DOLOSOS",
"total":    428,
"population": 6.0701e+06,
"rate": 7.0509,
"name": "Puebla",
"fillKey": "(-0.11,12]"
},
"Querétaro": {
 "state_code": 22,
"year": 2013,
"type": "DOLOSOS",
"total":    111,
"population": 1.9451e+06,
"rate": 5.7066,
"name": "Querétaro",
"fillKey": "(-0.11,12]"
},
"Quintana Roo": {
 "state_code": 23,
"year": 2013,
"type": "DOLOSOS",
"total":    214,
"population": 1.4868e+06,
"rate": 14.393,
"name": "Quintana Roo",
"fillKey": "(12,25]"
},
"San Luis Potosí": {
 "state_code": 24,
"year": 2013,
"type": "DOLOSOS",
"total":    261,
"population": 2.7032e+06,
"rate": 9.6554,
"name": "San Luis Potosí",
"fillKey": "(-0.11,12]"
},
"Sinaloa": {
 "state_code": 25,
"year": 2013,
"type": "DOLOSOS",
"total":   1208,
"population": 2.9334e+06,
"rate": 41.181,
"name": "Sinaloa",
"fillKey": "(37,49]"
},
"Sonora": {
 "state_code": 26,
"year": 2013,
"type": "DOLOSOS",
"total":    575,
"population": 2.8531e+06,
"rate": 20.154,
"name": "Sonora",
"fillKey": "(12,25]"
},
"Tabasco": {
 "state_code": 27,
"year": 2013,
"type": "DOLOSOS",
"total":    139,
"population": 2.3355e+06,
"rate": 5.9517,
"name": "Tabasco",
"fillKey": "(-0.11,12]"
},
"Tamaulipas": {
 "state_code": 28,
"year": 2013,
"type": "DOLOSOS",
"total":    555,
"population": 3.463e+06,
"rate": 16.027,
"name": "Tamaulipas",
"fillKey": "(12,25]"
},
"Tlaxcala": {
 "state_code": 29,
"year": 2013,
"type": "DOLOSOS",
"total":     70,
"population": 1.2435e+06,
"rate": 5.6295,
"name": "Tlaxcala",
"fillKey": "(-0.11,12]"
},
"Veracruz de Ignacio de la Llave": {
 "state_code": 30,
"year": 2013,
"type": "DOLOSOS",
"total":    564,
"population": 7.9256e+06,
"rate": 7.1162,
"name": "Veracruz de Ignacio de la Llave",
"fillKey": "(-0.11,12]"
},
"Yucatán": {
 "state_code": 31,
"year": 2013,
"type": "DOLOSOS",
"total":     40,
"population": 2.0653e+06,
"rate": 1.9368,
"name": "Yucatán",
"fillKey": "(-0.11,12]"
},
"Zacatecas": {
 "state_code": 32,
"year": 2013,
"type": "DOLOSOS",
"total":    167,
"population": 1.5507e+06,
"rate": 10.769,
"name": "Zacatecas",
"fillKey": "(-0.11,12]"
}
}
}
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## makefile
.PHONY: all clean
all: estados.zip mx_states.json index.html

estados.zip:
	curl -o estados.zip http://mapserver.inegi.org.mx/MGN/mge2010v5_0.zip

mx_states.json: estados.zip
	unzip -o estados.zip
	ogr2ogr states.shp Entidades_2010_5.shp -t_srs "+proj=longlat +ellps=WGS84 +no_defs +towgs84=0,0,0"
	## id-property needed so that DataMaps knows how to color the map
	topojson -o mx_states.json -s 1e-7 -q 1e5 states.shp -p state_code=+CVE_ENT,name=NOM_ENT --id-property NOM_ENT

index.html: mx_states.json
	R CMD BATCH --no-save rmaps.R

clean:
	-rm -f *.shp *.zip *.sbn *.sbx *.prj *.shx *.dbf *.csv.gz *.json index.html

## mx_states.json
{"type":"Topology","objects":{"states":{"type":"GeometryCollection","geometries":[{"type":"Polygon","properties":{"state_code":9,"name":"Distrito Federal"},"id":"Distrito Federal","arcs":[[0,1,2]]},{"type":"Polygon","properties":{"state_code":12,"name":"Guerrero"},"id":"Guerrero","arcs":[[3,4,5,6,7,8,9,10,11,12]]},{"type":"Polygon","properties":{"state_code":15,"name":"México"},"id":"México","arcs":[[13,14,15,16,17,18,19,20,-3,-2,21,22,-4,-13,23,24,25,26,27,28]]},{"type":"Polygon","properties":{"state_code":17,"name":"Morelos"},"id":"Morelos","arcs":[[-21,29,30,31,32,33,-7,-6,-5,-23,-22,-1]]},{"type":"Polygon","properties":{"state_code":25,"name":"Sinaloa"},"id":"Sinaloa","arcs":[[34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49]]},{"type":"MultiPolygon","properties":{"state_code":2,"name":"Baja California"},"id":"Baja California","arcs":[[[50]],[[51]],[[52]],[[53]],[[54]],[[55]],[[56,57,58,59]]]},{"type":"MultiPolygon","properties":{"state_code":26,"name":"Sonora"},"id":"Sonora","arcs":[[[60]],[[61]],[[62]],[[63,64,-49,-48,-47,-46,-45,-44,-43,-42,65,-57]]]},{"type":"MultiPolygon","properties":{"state_code":3,"name":"Baja California Sur"},"id":"Baja California Sur","arcs":[[[66]],[[67]],[[68]],[[69]],[[70]],[[71]],[[72]],[[73]],[[74]],[[75]],[[76]],[[-59,77]]]},{"type":"Polygon","properties":{"state_code":32,"name":"Zacatecas"},"id":"Zacatecas","arcs":[[78,79,80,81,82,83,84,85,86,87,88,89]]},{"type":"Polygon","properties":{"state_code":10,"name":"Durango"},"id":"Durango","arcs":[[90,91,92,-89,-88,93,-38,-37,-36,94]]},{"type":"Polygon","properties":{"state_code":8,"name":"Chihuahua"},"id":"Chihuahua","arcs":[[95,-91,-95,-35,-50,-65,96]]},{"type":"MultiPolygon","properties":{"state_code":6,"name":"Colima"},"id":"Colima","arcs":[[[97]],[[98]],[[99,100,101,102]]]},{"type":"MultiPolygon","properties":{"state_code":18,"name":"Nayarit"},"id":"Nayarit","arcs":[[[103]],[[104]],[[105]],[[106]],[[-87,107,108,109,110,111,112,-40,-39,-94]]]},{"type":"Polygon","properties":{"state_code":16,"name":"Michoacán de Ocampo"},"id":"Michoacán de 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## rmaps.R
library(rMaps)
##library(plyr)
library(dplyr)
library(foreign)
library(stringr)

## From crimenmexico.diegovalle.net/en/csv
## All local crimes at the state level
download.file("http://crimenmexico.diegovalle.net/en/csv/fuero-comun-estados.csv.gz",
              "fuero-comun-estados.csv.gz")
crime <- read.csv("fuero-comun-estados.csv.gz")
## The dbf from the state shapefile needed to merge state_code with state names
codes <- read.dbf("states.dbf")
codes$NOM_ENT <- iconv(codes$NOM_ENT, "windows-1252", "utf-8")
codes$CVE_ENT <- as.numeric(codes$CVE_ENT)
codes$OID <- NULL
names(codes) <- c("state_code", "name")


##Replace all spaces in state names with "_" in the topojson file
con <- file("mx_states.json", "r")
tpjson <- readLines(con)
close(con)
for(i in 1:32) {
    tpjson <- str_replace_all(tpjson, codes$name[i],
                          str_replace_all(codes$name[i], " ", "_"))
}
## Special case for "Baja_California Sur"
tpjson <- str_replace_all(tpjson, "Baja_California Sur",
                          "Baja_California_Sur")
con <- file("mx_states.json", "w")
writeLines(tpjson, con)
close(con)

## Replace all spaces with "_" in the codes file for merging
codes$name <- str_replace_all(codes$name, " ", "_")

## Only intentional homicides
crime <- subset(crime, crime == "HOMICIDIOS" & type == "DOLOSOS")

## Sum homicides by firearm, etc and group by state and date
hom <- crime %.%
  filter(year %in% 1997:2013) %.%
  group_by(state_code, year, type) %.%
  summarise(total = sum(count, na.rm = TRUE),
            population = mean(population) ) %.%
  mutate(rate = total / population * 10^5) %.%
  arrange(state_code, year)

## Names needed for the map
hom <- plyr::join(hom, codes)

dat <- transform(hom,
                 fillKey = cut(rate, breaks = 9, dig.lab = 2)
)
keyNames <- levels(dat$fillKey)


fills = setNames(
  c(RColorBrewer::brewer.pal(9, 'YlOrRd'), 'red'),
  c(levels(dat$fillKey), 'defaultFill')
)
dat2 <- plyr::dlply(na.omit(dat), "year", function(x){
  y = rCharts::toJSONArray2(x, json = F)
  names(y) = lapply(y, '[[', 'name')
  return(y)
})


fills = setNames(
  c(RColorBrewer::brewer.pal(9, 'YlOrRd'), 'red'),
  c(levels(dat$fillKey), 'defaultFill')
)


## See the blog post 'Animated Choropleths' by Ramnath Vaidyanathan
## http://rmaps.github.io/blog/posts/animated-choropleths/index.html
d1 <- Datamaps$new()
d1$set(
  geographyConfig = list(
    dataUrl = "mx_states.json",
    popupTemplate =  "#! function(geography, data) { //this function should just return a string
          return '<div class=hoverinfo><strong>' + geography.properties.name + '</strong></div>';
    }  !#"
  ),
  dom = 'chart_1',
  scope = 'states',
  labels = TRUE,
  bodyattrs = "ng-app ng-controller='rChartsCtrl'",
  setProjection = '#! function( element, options ) {

  var projection, path;

  projection = d3.geo.mercator()
  .center([-89, 21])
  .scale(element.offsetWidth)
  .translate([element.offsetWidth / 2, element.offsetHeight / 2]);

  path = d3.geo.path()
  .projection( projection );

  return {path: path, projection: projection};
  } !#',
  fills = fills,
  data = dat2[[17]],
  legend = TRUE,
  labels = TRUE
)
d1$save("index.html", cdn = TRUE)


d1$addAssets(
  jshead = "http://cdnjs.cloudflare.com/ajax/libs/angular.js/1.2.1/angular.min.js"
)
d1$setTemplate(chartDiv = "
  <div id = 'chart_1' class = 'rChart datamaps'>
  <input id='slider' type='range' min=1997 max=2013 ng-model='year' width=200>
  <span ng-bind='year'></span>

  <script>
    function rChartsCtrl($scope){
      $scope.year = '2013';
      $scope.$watch('year', function(newYear){
        mapchart_1.updateChoropleth(chartParams.newData[newYear]);
      })
    }
  </script>
  </div>   "
)
d1$set(newData = dat2)
d1$save("index.html", cdn = TRUE, standalone=TRUE)
	.PHONY: all clean
	all: estados.zip mx_states.json index.html

	estados.zip:
	curl -o estados.zip http://mapserver.inegi.org.mx/MGN/mge2010v5_0.zip

	mx_states.json: estados.zip
	unzip -o estados.zip
	ogr2ogr states.shp Entidades_2010_5.shp -t_srs "+proj=longlat +ellps=WGS84 +no_defs +towgs84=0,0,0"
	## id-property needed so that DataMaps knows how to color the map
	topojson -o mx_states.json -s 1e-7 -q 1e5 states.shp -p state_code=+CVE_ENT,name=NOM_ENT --id-property NOM_ENT

	index.html: mx_states.json
	R CMD BATCH --no-save rmaps.R

	clean:
	-rm -f .shp .zip .sbn .sbx .prj .shx .dbf .csv.gz *.json index.html
	library(rMaps)
	##library(plyr)
	library(dplyr)
	library(foreign)
	library(stringr)

	## From crimenmexico.diegovalle.net/en/csv
	## All local crimes at the state level
	download.file("http://crimenmexico.diegovalle.net/en/csv/fuero-comun-estados.csv.gz",
	"fuero-comun-estados.csv.gz")
	crime <- read.csv("fuero-comun-estados.csv.gz")
	## The dbf from the state shapefile needed to merge state_code with state names
	codes <- read.dbf("states.dbf")
	codes$NOM_ENT <- iconv(codes$NOM_ENT, "windows-1252", "utf-8")
	codes$CVE_ENT <- as.numeric(codes$CVE_ENT)
	codes$OID <- NULL
	names(codes) <- c("state_code", "name")


	##Replace all spaces in state names with "_" in the topojson file
	con <- file("mx_states.json", "r")
	tpjson <- readLines(con)
	close(con)
	for(i in 1:32) {
	tpjson <- str_replace_all(tpjson, codes$name[i],
	str_replace_all(codes$name[i], " ", "_"))
	}
	## Special case for "Baja_California Sur"
	tpjson <- str_replace_all(tpjson, "Baja_California Sur",
	"Baja_California_Sur")
	con <- file("mx_states.json", "w")
	writeLines(tpjson, con)
	close(con)

	## Replace all spaces with "_" in the codes file for merging
	codes$name <- str_replace_all(codes$name, " ", "_")

	## Only intentional homicides
	crime <- subset(crime, crime == "HOMICIDIOS" & type == "DOLOSOS")

	## Sum homicides by firearm, etc and group by state and date
	hom <- crime %.%
	filter(year %in% 1997:2013) %.%
	group_by(state_code, year, type) %.%
	summarise(total = sum(count, na.rm = TRUE),
	population = mean(population) ) %.%
	mutate(rate = total / population * 10^5) %.%
	arrange(state_code, year)

	## Names needed for the map
	hom <- plyr::join(hom, codes)

	dat <- transform(hom,
	fillKey = cut(rate, breaks = 9, dig.lab = 2)
	)
	keyNames <- levels(dat$fillKey)


	fills = setNames(
	c(RColorBrewer::brewer.pal(9, 'YlOrRd'), 'red'),
	c(levels(dat$fillKey), 'defaultFill')
	)
	dat2 <- plyr::dlply(na.omit(dat), "year", function(x){
	y = rCharts::toJSONArray2(x, json = F)
	names(y) = lapply(y, '[[', 'name')
	return(y)
	})


	fills = setNames(
	c(RColorBrewer::brewer.pal(9, 'YlOrRd'), 'red'),
	c(levels(dat$fillKey), 'defaultFill')
	)


	## See the blog post 'Animated Choropleths' by Ramnath Vaidyanathan
	## http://rmaps.github.io/blog/posts/animated-choropleths/index.html
	d1 <- Datamaps$new()
	d1$set(
	geographyConfig = list(
	dataUrl = "mx_states.json",
	popupTemplate = "#! function(geography, data) { //this function should just return a string
	return '<div class=hoverinfo><strong>' + geography.properties.name + '</strong></div>';
	} !#"
	),
	dom = 'chart_1',
	scope = 'states',
	labels = TRUE,
	bodyattrs = "ng-app ng-controller='rChartsCtrl'",
	setProjection = '#! function( element, options ) {

	var projection, path;

	projection = d3.geo.mercator()
	.center([-89, 21])
	.scale(element.offsetWidth)
	.translate([element.offsetWidth / 2, element.offsetHeight / 2]);

	path = d3.geo.path()
	.projection( projection );

	return {path: path, projection: projection};
	} !#',
	fills = fills,
	data = dat2[[17]],
	legend = TRUE,
	labels = TRUE
	)
	d1$save("index.html", cdn = TRUE)


	d1$addAssets(
	jshead = "http://cdnjs.cloudflare.com/ajax/libs/angular.js/1.2.1/angular.min.js"
	)
	d1$setTemplate(chartDiv = "
	<div id = 'chart_1' class = 'rChart datamaps'>
	<input id='slider' type='range' min=1997 max=2013 ng-model='year' width=200>
	<span ng-bind='year'></span>

	<script>
	function rChartsCtrl($scope){
	$scope.year = '2013';
	$scope.$watch('year', function(newYear){
	mapchart_1.updateChoropleth(chartParams.newData[newYear]);
	})
	}
	</script>
	</div> "
	)
	d1$set(newData = dat2)
	d1$save("index.html", cdn = TRUE, standalone=TRUE)