Violencia Rio de Janeiro.ipynb

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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "# A violência no Rio de Janeiro está aumentando?\n",
    "\n",
    "Vamos tentar responder essa pergunta usando números, dados. Vamos usar a \"Base DP: evolução mensal das estatísticas por circunscrição de Delegacia (1/2003 a 12/2017)\", disponível em http://www.ispdados.rj.gov.br/estatistica.html\n",
    "\n",
    "Obs.: se você não sabe programar ignore os blocos cinza com código\n",
    "\n",
    "Abaixo você pode ver uma tabela com todos os indicadores de violência da capital Rio de Janeiro"
   ]
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       "      <td>2</td>\n",
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       "      <td>156</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2233</td>\n",
       "      <td>185</td>\n",
       "      <td>68</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
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       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "      <td>142</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
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       "      <td>2004</td>\n",
       "      <td>3</td>\n",
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       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>146</td>\n",
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       "      <td>101</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2065</td>\n",
       "      <td>177</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22190.0</td>\n",
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       "      <td>2004</td>\n",
       "      <td>4</td>\n",
       "      <td>196</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>45</td>\n",
       "      <td>93</td>\n",
       "      <td>2316</td>\n",
       "      <td>103</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1894</td>\n",
       "      <td>175</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>20315.0</td>\n",
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       "      <td>2004</td>\n",
       "      <td>5</td>\n",
       "      <td>251</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>69</td>\n",
       "      <td>131</td>\n",
       "      <td>2168</td>\n",
       "      <td>67</td>\n",
       "      <td>55</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1947</td>\n",
       "      <td>170</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
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       "      <th>17</th>\n",
       "      <td>2004</td>\n",
       "      <td>6</td>\n",
       "      <td>177</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>100</td>\n",
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       "      <td>85</td>\n",
       "      <td>64</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1784</td>\n",
       "      <td>128</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>20015.0</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2004</td>\n",
       "      <td>7</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>54</td>\n",
       "      <td>140</td>\n",
       "      <td>2037</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1691</td>\n",
       "      <td>133</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>19875.0</td>\n",
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       "      <td>8</td>\n",
       "      <td>175</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>66</td>\n",
       "      <td>123</td>\n",
       "      <td>2294</td>\n",
       "      <td>118</td>\n",
       "      <td>79</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1917</td>\n",
       "      <td>138</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>19336.0</td>\n",
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       "    <tr>\n",
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       "      <td>9</td>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1966</td>\n",
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       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2004</td>\n",
       "      <td>10</td>\n",
       "      <td>228</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>64</td>\n",
       "      <td>150</td>\n",
       "      <td>2270</td>\n",
       "      <td>98</td>\n",
       "      <td>68</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1855</td>\n",
       "      <td>149</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>19521.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2004</td>\n",
       "      <td>11</td>\n",
       "      <td>257</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>65</td>\n",
       "      <td>115</td>\n",
       "      <td>2333</td>\n",
       "      <td>88</td>\n",
       "      <td>71</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1969</td>\n",
       "      <td>133</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19953.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2004</td>\n",
       "      <td>12</td>\n",
       "      <td>215</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>123</td>\n",
       "      <td>2483</td>\n",
       "      <td>92</td>\n",
       "      <td>83</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2062</td>\n",
       "      <td>153</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>21024.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>221</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>125</td>\n",
       "      <td>2649</td>\n",
       "      <td>117</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2167</td>\n",
       "      <td>177</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>21533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2005</td>\n",
       "      <td>2</td>\n",
       "      <td>246</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>114</td>\n",
       "      <td>2329</td>\n",
       "      <td>83</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1764</td>\n",
       "      <td>119</td>\n",
       "      <td>49</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20042.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2005</td>\n",
       "      <td>3</td>\n",
       "      <td>260</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>65</td>\n",
       "      <td>119</td>\n",
       "      <td>2556</td>\n",
       "      <td>136</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>106.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2210</td>\n",
       "      <td>157</td>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>22837.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2005</td>\n",
       "      <td>4</td>\n",
       "      <td>193</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>54</td>\n",
       "      <td>140</td>\n",
       "      <td>2587</td>\n",
       "      <td>110</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2113</td>\n",
       "      <td>127</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22084.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2005</td>\n",
       "      <td>5</td>\n",
       "      <td>214</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>75</td>\n",
       "      <td>160</td>\n",
       "      <td>2380</td>\n",
       "      <td>89</td>\n",
       "      <td>86</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2057</td>\n",
       "      <td>147</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2005</td>\n",
       "      <td>6</td>\n",
       "      <td>172</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>73</td>\n",
       "      <td>138</td>\n",
       "      <td>2267</td>\n",
       "      <td>104</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1861</td>\n",
       "      <td>142</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>21309.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2014</td>\n",
       "      <td>7</td>\n",
       "      <td>92</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>133</td>\n",
       "      <td>2426</td>\n",
       "      <td>132</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>231.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2332</td>\n",
       "      <td>166</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>27452.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2014</td>\n",
       "      <td>8</td>\n",
       "      <td>82</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>2431</td>\n",
       "      <td>140</td>\n",
       "      <td>54</td>\n",
       "      <td>...</td>\n",
       "      <td>236.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2438</td>\n",
       "      <td>192</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>24416.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2014</td>\n",
       "      <td>9</td>\n",
       "      <td>99</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>214</td>\n",
       "      <td>2658</td>\n",
       "      <td>163</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>322.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2599</td>\n",
       "      <td>184</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>25757.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>228</td>\n",
       "      <td>2861</td>\n",
       "      <td>149</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>403.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2576</td>\n",
       "      <td>222</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>27068.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2014</td>\n",
       "      <td>11</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>24</td>\n",
       "      <td>245</td>\n",
       "      <td>2897</td>\n",
       "      <td>151</td>\n",
       "      <td>40</td>\n",
       "      <td>...</td>\n",
       "      <td>357.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2615</td>\n",
       "      <td>280</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>26583.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>103</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>21</td>\n",
       "      <td>267</td>\n",
       "      <td>2960</td>\n",
       "      <td>141</td>\n",
       "      <td>36</td>\n",
       "      <td>...</td>\n",
       "      <td>249.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2610</td>\n",
       "      <td>256</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26711.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>114</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>261</td>\n",
       "      <td>3076</td>\n",
       "      <td>137</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>429.0</td>\n",
       "      <td>439.0</td>\n",
       "      <td>2622</td>\n",
       "      <td>266</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>30225.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "      <td>101</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>48</td>\n",
       "      <td>179</td>\n",
       "      <td>2665</td>\n",
       "      <td>111</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>417.0</td>\n",
       "      <td>423.0</td>\n",
       "      <td>2229</td>\n",
       "      <td>232</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28912.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "      <td>106</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>248</td>\n",
       "      <td>2638</td>\n",
       "      <td>144</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>425.0</td>\n",
       "      <td>2616</td>\n",
       "      <td>286</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>28448.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2015</td>\n",
       "      <td>4</td>\n",
       "      <td>98</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>180</td>\n",
       "      <td>2483</td>\n",
       "      <td>160</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>2318</td>\n",
       "      <td>249</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25740.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>117</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>196</td>\n",
       "      <td>2335</td>\n",
       "      <td>118</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>301.0</td>\n",
       "      <td>2257</td>\n",
       "      <td>255</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>25446.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2015</td>\n",
       "      <td>6</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>201</td>\n",
       "      <td>2083</td>\n",
       "      <td>126</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>2083</td>\n",
       "      <td>238</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>23940.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>30</td>\n",
       "      <td>233</td>\n",
       "      <td>2285</td>\n",
       "      <td>140</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>363.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>2217</td>\n",
       "      <td>237</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>24869.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2015</td>\n",
       "      <td>8</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>204</td>\n",
       "      <td>2389</td>\n",
       "      <td>151</td>\n",
       "      <td>29</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>2184</td>\n",
       "      <td>252</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24758.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2015</td>\n",
       "      <td>9</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>33</td>\n",
       "      <td>271</td>\n",
       "      <td>2463</td>\n",
       "      <td>136</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>2162</td>\n",
       "      <td>267</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>26161.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2015</td>\n",
       "      <td>10</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>147</td>\n",
       "      <td>2586</td>\n",
       "      <td>121</td>\n",
       "      <td>28</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2374</td>\n",
       "      <td>251</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25415.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2015</td>\n",
       "      <td>11</td>\n",
       "      <td>87</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>171</td>\n",
       "      <td>2626</td>\n",
       "      <td>127</td>\n",
       "      <td>38</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>2189</td>\n",
       "      <td>276</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>25188.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2015</td>\n",
       "      <td>12</td>\n",
       "      <td>125</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>175</td>\n",
       "      <td>2712</td>\n",
       "      <td>139</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>319.0</td>\n",
       "      <td>2270</td>\n",
       "      <td>257</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>27561.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>99</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>217</td>\n",
       "      <td>2425</td>\n",
       "      <td>165</td>\n",
       "      <td>46</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>358.0</td>\n",
       "      <td>394.0</td>\n",
       "      <td>2146</td>\n",
       "      <td>265</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28443.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>114</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>199</td>\n",
       "      <td>2576</td>\n",
       "      <td>103</td>\n",
       "      <td>38</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>2169</td>\n",
       "      <td>249</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>121</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>213</td>\n",
       "      <td>2514</td>\n",
       "      <td>124</td>\n",
       "      <td>41</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>2274</td>\n",
       "      <td>235</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>27711.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>110</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>192</td>\n",
       "      <td>2222</td>\n",
       "      <td>116</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>1888</td>\n",
       "      <td>223</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>25285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>194</td>\n",
       "      <td>2002</td>\n",
       "      <td>115</td>\n",
       "      <td>42</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1799</td>\n",
       "      <td>230</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>25854.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>111</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>49</td>\n",
       "      <td>143</td>\n",
       "      <td>1847</td>\n",
       "      <td>100</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>1874</td>\n",
       "      <td>179</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>25569.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2016</td>\n",
       "      <td>7</td>\n",
       "      <td>97</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>44</td>\n",
       "      <td>154</td>\n",
       "      <td>2255</td>\n",
       "      <td>108</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>1824</td>\n",
       "      <td>241</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>26175.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2016</td>\n",
       "      <td>8</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>185</td>\n",
       "      <td>2132</td>\n",
       "      <td>140</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>1882</td>\n",
       "      <td>201</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28897.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2016</td>\n",
       "      <td>9</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>166</td>\n",
       "      <td>2160</td>\n",
       "      <td>143</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>1975</td>\n",
       "      <td>215</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>27308.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2016</td>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>46</td>\n",
       "      <td>182</td>\n",
       "      <td>2447</td>\n",
       "      <td>128</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>334.0</td>\n",
       "      <td>2068</td>\n",
       "      <td>254</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>28430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2016</td>\n",
       "      <td>11</td>\n",
       "      <td>122</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "      <td>186</td>\n",
       "      <td>2297</td>\n",
       "      <td>149</td>\n",
       "      <td>38</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>345.0</td>\n",
       "      <td>1991</td>\n",
       "      <td>216</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>28009.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2016</td>\n",
       "      <td>12</td>\n",
       "      <td>146</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>192</td>\n",
       "      <td>2382</td>\n",
       "      <td>108</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>326.0</td>\n",
       "      <td>1985</td>\n",
       "      <td>202</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>27678.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>168 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     vano  mes  hom_doloso  lesao_corp_morte  latrocinio  \\\n",
       "0    2003    1         208                 4          11   \n",
       "1    2003    2         219                 2           4   \n",
       "2    2003    3         259                 1           8   \n",
       "3    2003    4         245                 3           9   \n",
       "4    2003    5         237                 3          13   \n",
       "5    2003    6         199                 0           6   \n",
       "6    2003    7         192                 2          12   \n",
       "7    2003    8         200                 4           5   \n",
       "8    2003    9         184                 2           5   \n",
       "9    2003   10         188                 0           8   \n",
       "10   2003   11         197                 2           9   \n",
       "11   2003   12         246                 2           8   \n",
       "12   2004    1         255                 3           7   \n",
       "13   2004    2         243                 4          12   \n",
       "14   2004    3         234                 0           7   \n",
       "15   2004    4         196                 0          10   \n",
       "16   2004    5         251                 3          10   \n",
       "17   2004    6         177                 0           7   \n",
       "18   2004    7         220                 1          10   \n",
       "19   2004    8         175                 2           7   \n",
       "20   2004    9         202                 2          12   \n",
       "21   2004   10         228                 4           9   \n",
       "22   2004   11         257                 4           9   \n",
       "23   2004   12         215                 1           3   \n",
       "24   2005    1         221                 3           6   \n",
       "25   2005    2         246                 1           4   \n",
       "26   2005    3         260                 1          10   \n",
       "27   2005    4         193                 3          10   \n",
       "28   2005    5         214                 3           6   \n",
       "29   2005    6         172                 2           5   \n",
       "..    ...  ...         ...               ...         ...   \n",
       "138  2014    7          92                 2           5   \n",
       "139  2014    8          82                 3           2   \n",
       "140  2014    9          99                 1           2   \n",
       "141  2014   10         115                 1           6   \n",
       "142  2014   11          82                 0           4   \n",
       "143  2014   12         103                 1           5   \n",
       "144  2015    1         114                 0           1   \n",
       "145  2015    2         101                 2           3   \n",
       "146  2015    3         106                 0           1   \n",
       "147  2015    4          98                 3           9   \n",
       "148  2015    5         117                 0           4   \n",
       "149  2015    6          89                 0           7   \n",
       "150  2015    7          86                 1           5   \n",
       "151  2015    8          86                 1           3   \n",
       "152  2015    9          96                 0           4   \n",
       "153  2015   10          95                 0           3   \n",
       "154  2015   11          87                 2           2   \n",
       "155  2015   12         125                 2           2   \n",
       "156  2016    1          99                 0           5   \n",
       "157  2016    2         114                 2          14   \n",
       "158  2016    3         121                 1           6   \n",
       "159  2016    4         110                 1           4   \n",
       "160  2016    5         106                 2           2   \n",
       "161  2016    6         111                 3          13   \n",
       "162  2016    7          97                 3           6   \n",
       "163  2016    8         100                 1           3   \n",
       "164  2016    9         103                 2           1   \n",
       "165  2016   10         101                 4          13   \n",
       "166  2016   11         122                 4           7   \n",
       "167  2016   12         146                 5          14   \n",
       "\n",
       "     hom_por_interv_policial  tentat_hom  lesao_corp_dolosa  estupro  \\\n",
       "0                         60         163               2429       85   \n",
       "1                         65         144               2573       84   \n",
       "2                         82         120               2470       81   \n",
       "3                         84         133               2205       68   \n",
       "4                         67         170               2025       83   \n",
       "5                         66         129               2265       69   \n",
       "6                         57         180               2365       67   \n",
       "7                         69         211               2105       58   \n",
       "8                         66         112               2240       67   \n",
       "9                         78         169               2235       84   \n",
       "10                        52         165               2502       92   \n",
       "11                        52         156               2826       77   \n",
       "12                        59         156               2375       96   \n",
       "13                        38         142               2242       64   \n",
       "14                        61         146               2336      101   \n",
       "15                        45          93               2316      103   \n",
       "16                        69         131               2168       67   \n",
       "17                        53         100               2116       85   \n",
       "18                        54         140               2037       82   \n",
       "19                        66         123               2294      118   \n",
       "20                        54         128               2362       97   \n",
       "21                        64         150               2270       98   \n",
       "22                        65         115               2333       88   \n",
       "23                        48         123               2483       92   \n",
       "24                        40         125               2649      117   \n",
       "25                        31         114               2329       83   \n",
       "26                        65         119               2556      136   \n",
       "27                        54         140               2587      110   \n",
       "28                        75         160               2380       89   \n",
       "29                        73         138               2267      104   \n",
       "..                       ...         ...                ...      ...   \n",
       "138                       21         133               2426      132   \n",
       "139                       13         137               2431      140   \n",
       "140                       15         214               2658      163   \n",
       "141                       13         228               2861      149   \n",
       "142                       24         245               2897      151   \n",
       "143                       21         267               2960      141   \n",
       "144                       30         261               3076      137   \n",
       "145                       48         179               2665      111   \n",
       "146                       32         248               2638      144   \n",
       "147                       20         180               2483      160   \n",
       "148                       18         196               2335      118   \n",
       "149                       24         201               2083      126   \n",
       "150                       30         233               2285      140   \n",
       "151                       25         204               2389      151   \n",
       "152                       33         271               2463      136   \n",
       "153                       19         147               2586      121   \n",
       "154                       12         171               2626      127   \n",
       "155                       16         175               2712      139   \n",
       "156                       27         217               2425      165   \n",
       "157                       25         199               2576      103   \n",
       "158                       24         213               2514      124   \n",
       "159                       35         192               2222      116   \n",
       "160                       40         194               2002      115   \n",
       "161                       49         143               1847      100   \n",
       "162                       44         154               2255      108   \n",
       "163                       39         185               2132      140   \n",
       "164                       50         166               2160      143   \n",
       "165                       46         182               2447      128   \n",
       "166                       33         186               2297      149   \n",
       "167                       51         192               2382      108   \n",
       "\n",
       "     hom_culposo   ...     apreensoes   gaai  aaapai_cmba  ameaca  \\\n",
       "0             48   ...            0.0    0.0          0.0    2072   \n",
       "1             54   ...            0.0    0.0          0.0    2027   \n",
       "2             60   ...            0.0    0.0          0.0    2012   \n",
       "3             67   ...            0.0    0.0          0.0    1921   \n",
       "4             76   ...            0.0    0.0          0.0    1906   \n",
       "5             75   ...            0.0    0.0          0.0    1979   \n",
       "6             63   ...            0.0    0.0          0.0    2000   \n",
       "7             57   ...            0.0    0.0          0.0    1917   \n",
       "8             65   ...            0.0    0.0          0.0    2105   \n",
       "9             59   ...            0.0    0.0          0.0    1936   \n",
       "10            56   ...            0.0    0.0          0.0    2167   \n",
       "11            79   ...            0.0    0.0          0.0    2203   \n",
       "12            50   ...            0.0    0.0          0.0    2233   \n",
       "13            62   ...            0.0    0.0          0.0    1771   \n",
       "14            57   ...            0.0    0.0          0.0    2065   \n",
       "15            75   ...            0.0    0.0          0.0    1894   \n",
       "16            55   ...            0.0    0.0          0.0    1947   \n",
       "17            64   ...            0.0    0.0          0.0    1784   \n",
       "18            82   ...            0.0    0.0          0.0    1691   \n",
       "19            79   ...            0.0    0.0          0.0    1917   \n",
       "20            76   ...            0.0    0.0          0.0    1966   \n",
       "21            68   ...            0.0    0.0          0.0    1855   \n",
       "22            71   ...            0.0    0.0          0.0    1969   \n",
       "23            83   ...            0.0    0.0          0.0    2062   \n",
       "24            82   ...           63.0    0.0          0.0    2167   \n",
       "25            62   ...           59.0    0.0          0.0    1764   \n",
       "26            76   ...          106.0    0.0          0.0    2210   \n",
       "27            74   ...           66.0    0.0          0.0    2113   \n",
       "28            86   ...           86.0    0.0          0.0    2057   \n",
       "29            84   ...           80.0    0.0          0.0    1861   \n",
       "..           ...   ...            ...    ...          ...     ...   \n",
       "138           44   ...          231.0    0.0          0.0    2332   \n",
       "139           54   ...          236.0    0.0          0.0    2438   \n",
       "140           42   ...          322.0    0.0          0.0    2599   \n",
       "141           50   ...          403.0    0.0          0.0    2576   \n",
       "142           40   ...          357.0    0.0          0.0    2615   \n",
       "143           36   ...          249.0    0.0          0.0    2610   \n",
       "144           50   ...            0.0  429.0        439.0    2622   \n",
       "145           31   ...            0.0  417.0        423.0    2229   \n",
       "146           53   ...            0.0  406.0        425.0    2616   \n",
       "147           41   ...            0.0  380.0        387.0    2318   \n",
       "148           53   ...            0.0  290.0        301.0    2257   \n",
       "149           37   ...            0.0  316.0        319.0    2083   \n",
       "150           53   ...            0.0  363.0        372.0    2217   \n",
       "151           29   ...            0.0  356.0        360.0    2184   \n",
       "152           30   ...            0.0  339.0        348.0    2162   \n",
       "153           28   ...            0.0  308.0        309.0    2374   \n",
       "154           38   ...            0.0  273.0        279.0    2189   \n",
       "155           52   ...            0.0  311.0        319.0    2270   \n",
       "156           46   ...            0.0  358.0        394.0    2146   \n",
       "157           38   ...            0.0  288.0        333.0    2169   \n",
       "158           41   ...            0.0  370.0        374.0    2274   \n",
       "159           25   ...            0.0  311.0        332.0    1888   \n",
       "160           42   ...            0.0  294.0        336.0    1799   \n",
       "161           39   ...            0.0  303.0        331.0    1874   \n",
       "162           45   ...            0.0  238.0        267.0    1824   \n",
       "163           52   ...            0.0  273.0        288.0    1882   \n",
       "164           37   ...            0.0  330.0        332.0    1975   \n",
       "165           52   ...            0.0  314.0        334.0    2068   \n",
       "166           38   ...            0.0  331.0        345.0    1991   \n",
       "167           47   ...            0.0  317.0        326.0    1985   \n",
       "\n",
       "     pessoas_desaparecidas  encontro_cadaver  encontro_ossada  \\\n",
       "0                      167                84                2   \n",
       "1                      174               112                1   \n",
       "2                      188                91                6   \n",
       "3                      155                60                1   \n",
       "4                      179                90                2   \n",
       "5                      178                77                2   \n",
       "6                      137                65                1   \n",
       "7                      156                95                2   \n",
       "8                      210                66                0   \n",
       "9                      165                47                5   \n",
       "10                     180                52                3   \n",
       "11                     155                74                2   \n",
       "12                     185                68                6   \n",
       "13                     165                54                0   \n",
       "14                     177                62                2   \n",
       "15                     175                58                1   \n",
       "16                     170                66                0   \n",
       "17                     128                51                2   \n",
       "18                     133                56                0   \n",
       "19                     138                52                2   \n",
       "20                     183                54                1   \n",
       "21                     149                46                1   \n",
       "22                     133                37                1   \n",
       "23                     153                40                0   \n",
       "24                     177                41                0   \n",
       "25                     119                49                3   \n",
       "26                     157                48                4   \n",
       "27                     127                20                1   \n",
       "28                     147                28                1   \n",
       "29                     142                37                1   \n",
       "..                     ...               ...              ...   \n",
       "138                    166                14                1   \n",
       "139                    192                14                1   \n",
       "140                    184                19                1   \n",
       "141                    222                 8                2   \n",
       "142                    280                19                2   \n",
       "143                    256                10                0   \n",
       "144                    266                19                2   \n",
       "145                    232                19                0   \n",
       "146                    286                18                2   \n",
       "147                    249                16                0   \n",
       "148                    255                20                1   \n",
       "149                    238                19                1   \n",
       "150                    237                10                2   \n",
       "151                    252                21                0   \n",
       "152                    267                16                8   \n",
       "153                    251                 7                1   \n",
       "154                    276                 8                0   \n",
       "155                    257                15                2   \n",
       "156                    265                14                2   \n",
       "157                    249                19                5   \n",
       "158                    235                27                2   \n",
       "159                    223                12                1   \n",
       "160                    230                14                0   \n",
       "161                    179                18                0   \n",
       "162                    241                21                0   \n",
       "163                    201                13                0   \n",
       "164                    215                15                1   \n",
       "165                    254                13                0   \n",
       "166                    216                16                0   \n",
       "167                    202                13                0   \n",
       "\n",
       "     pol_militares_mortos_serv  pol_civis_mortos_serv    total  \n",
       "0                            3                      2  21582.0  \n",
       "1                            2                      0  22089.0  \n",
       "2                            3                      1  21465.0  \n",
       "3                            4                      0  21003.0  \n",
       "4                            3                      1  21857.0  \n",
       "5                            3                      1  20093.0  \n",
       "6                            1                      1  20508.0  \n",
       "7                            4                      0  19943.0  \n",
       "8                            2                      0  20925.0  \n",
       "9                            3                      0  21264.0  \n",
       "10                           3                      0  21023.0  \n",
       "11                           3                      0  22109.0  \n",
       "12                           1                      0  21231.0  \n",
       "13                           6                      0  19767.0  \n",
       "14                           0                      0  22190.0  \n",
       "15                           3                      0  20315.0  \n",
       "16                           6                      0  21119.0  \n",
       "17                           3                      0  20015.0  \n",
       "18                           5                      0  19875.0  \n",
       "19                           2                      0  19336.0  \n",
       "20                           0                      0  19501.0  \n",
       "21                           9                      0  19521.0  \n",
       "22                           1                      0  19953.0  \n",
       "23                           5                      0  21024.0  \n",
       "24                           1                      0  21533.0  \n",
       "25                           1                      0  20042.0  \n",
       "26                           4                      0  22837.0  \n",
       "27                           1                      1  22084.0  \n",
       "28                           1                      2  22430.0  \n",
       "29                           1                      0  21309.0  \n",
       "..                         ...                    ...      ...  \n",
       "138                          1                      0  27452.0  \n",
       "139                          1                      0  24416.0  \n",
       "140                          1                      0  25757.0  \n",
       "141                          1                      0  27068.0  \n",
       "142                          1                      0  26583.0  \n",
       "143                          0                      0  26711.0  \n",
       "144                          2                      0  30225.0  \n",
       "145                          1                      0  28912.0  \n",
       "146                          2                      0  28448.0  \n",
       "147                          0                      0  25740.0  \n",
       "148                          3                      1  25446.0  \n",
       "149                          1                      1  23940.0  \n",
       "150                          1                      0  24869.0  \n",
       "151                          0                      0  24758.0  \n",
       "152                          1                      0  26161.0  \n",
       "153                          0                      0  25415.0  \n",
       "154                          2                      0  25188.0  \n",
       "155                          2                      0  27561.0  \n",
       "156                          1                      0  28443.0  \n",
       "157                          0                      0  29533.0  \n",
       "158                          2                      0  27711.0  \n",
       "159                          2                      1  25285.0  \n",
       "160                          3                      1  25854.0  \n",
       "161                          1                      0  25569.0  \n",
       "162                          2                      0  26175.0  \n",
       "163                          0                      0  28897.0  \n",
       "164                          1                      0  27308.0  \n",
       "165                          2                      0  28430.0  \n",
       "166                          5                      0  28009.0  \n",
       "167                          3                      0  27678.0  \n",
       "\n",
       "[168 rows x 42 columns]"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/BaseDPEvolucaoMensalCisp.csv', delimiter=\";\", encoding = \"ISO-8859-1\")\n",
    "df = df[df[\"munic\"] == \"Rio de Janeiro\"]\n",
    "\n",
    "violence_indicators = [\"hom_doloso\",\"lesao_corp_morte\",\"latrocinio\",\"hom_por_interv_policial\",\"tentat_hom\",\"lesao_corp_dolosa\",\"estupro\",\"hom_culposo\",\"lesao_corp_culposa\",\"roubo_comercio\",\"roubo_residencia\",\"roubo_veiculo\",\"roubo_carga\",\"roubo_transeunte\",\"roubo_em_coletivo\",\"roubo_banco\",\"roubo_cx_eletronico\",\"roubo_celular\",\"roubo_conducao_saque\",\"roubo_bicicleta\",\"outros_roubos\",\"furto_veiculos\",\"furto_bicicleta\",\"outros_furtos\",\"sequestro\",\"extorsao\",\"sequestro_relampago\",\"estelionato\",\"apreensao_drogas\",\"recuperacao_veiculos\",\"apreensoes\",\"gaai\",\"aaapai_cmba\",\"ameaca\",\"pessoas_desaparecidas\",\"encontro_cadaver\",\"encontro_ossada\",\"pol_militares_mortos_serv\",\"pol_civis_mortos_serv\"]\n",
    "df = df[[\"mes\",\"vano\"] + violence_indicators]\n",
    "df = df.fillna(0)\n",
    "df = df.groupby([\"vano\", \"mes\"], as_index=False).sum()\n",
    "df['total'] = df[violence_indicators].sum(axis=1)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "**Agora vamos colocar esses indicadores num gráfico**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Fazi8tQ1YOPQNBqN1F6hXQkKfEEIIIYSoSdF0bsa6BosV+nwuOx7nzEqgNb0zVsOVvohV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\nUX0Ph91BBhy+uHOnynIz6WnqV2a6Mr1OREIUus/xFs0B1p9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e7NnDB95+G7mVW8BcmWKs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\n/x9lAHOgFVwJDwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb59c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['ano_mes'] = [ datetime.date(year, month, 1) for (year, month) in zip(df['vano'],df['mes']) ]\n",
    "plt.rcParams[\"figure.figsize\"] = (15,5)\n",
    "plt.plot(df['ano_mes'], df['total'], label='linear')\n",
    "\n",
    "def plot_avg(column):\n",
    "    avg_2003 = df[df['vano'] == 2003][column].mean()\n",
    "    avg_2016 = df[df['vano'] == 2016][column].mean()\n",
    "    last = len(df) - 1\n",
    "    plt.plot([df['ano_mes'][0], df['ano_mes'][last]], [avg_2003, avg_2016], label='linear')\n",
    "\n",
    "plot_avg('total')\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Parece que a violência está aumentando não é mesmo? Mas espera um momento, a população do Rio também cresce a cada ano, o que acontece se levarmos o crescimento da população em conta também?\n",
    "\n",
    "Para o crescimento da população temos apenas dados do censo de 2000, censo de 2010 e uma estimativa para 2017 (fonte: https://pt.wikipedia.org/wiki/Predefini%C3%A7%C3%A3o:Evolu%C3%A7%C3%A3o_demogr%C3%A1fica_da_cidade_do_Rio_de_Janeiro), vamos derivar o restante dos anos a partir desses pontos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>5851914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>5898767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>5945620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>5992474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>6039327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>6086180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>6133033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>6179886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>6226740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>6273593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>6320446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>6348992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>6377537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>6406083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>6434629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>6463175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>6491720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>6520266</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      population\n",
       "2000     5851914\n",
       "2001     5898767\n",
       "2002     5945620\n",
       "2003     5992474\n",
       "2004     6039327\n",
       "2005     6086180\n",
       "2006     6133033\n",
       "2007     6179886\n",
       "2008     6226740\n",
       "2009     6273593\n",
       "2010     6320446\n",
       "2011     6348992\n",
       "2012     6377537\n",
       "2013     6406083\n",
       "2014     6434629\n",
       "2015     6463175\n",
       "2016     6491720\n",
       "2017     6520266"
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop = []\n",
    "\n",
    "pop_2000 = 5851914\n",
    "pop_2010 = 6320446\n",
    "pop_2017 = 6520266\n",
    "avg_grow_2000_2010 = (pop_2010 - pop_2000) / 10\n",
    "avg_grow_2010_2017 = (pop_2017 - pop_2010) / 7\n",
    "\n",
    "for i in range(0, 10):\n",
    "    pop.append(round(pop_2000 + avg_grow_2000_2010 * i))\n",
    "for i in range(0, 8):\n",
    "    pop.append(round(pop_2010 + avg_grow_2010_2017 * i))\n",
    "\n",
    "population = pd.DataFrame({'population': pop}, index=range(2000, 2018))\n",
    "population"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "**Vamos ver então como ficam os indíces de violência a cada 100 mil habitantes**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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Ts0YAV1FC6XdBKapt/X9F9SXvF6KZtn2ObsIAjoiIiIjaLqUYawSqSyj7KwO4Ohk4j8NW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\naJjdx3qm3W6tTTUwE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4gxxg98EmdPrwDe4l5H8i8ve3ae60hh5GvfPO8F9hV2yYtePvfs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\nEZES8f8BLTBIGepc77IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10efa19b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['total/100k'] = [ total / (population['population'][year] / 100000) for (year, total) in zip(df['vano'], df['total']) ]\n",
    "\n",
    "plt.plot(df['ano_mes'], df['total/100k'], label='linear')\n",
    "plot_avg('total/100k')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "**É, parece que sim, a violencia está aumentando mesmo levando em conta o crescimento populacional :(**\n",
    "\n",
    "Uma curiosidade: se plotamos todos os indicadores, o indicador *roubo_transeunte* foi de longe o que mais cresceu nos últimos anos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MJ72TlT2vt+bVuoXBLjQqZc0fioIgDAyJeeVoa0nc4uvIidRilNfhd3lvaC71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\nn4XN78ODW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LRErykiTI/9dpxOEW7LnquNlXTxknqCUf3FPX3zB5LAKrIXjHharKq/PiUC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\nxhhjjDHGmEPgfwER7/AN1mf+SwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112d63d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# alguns exemplos apenas porque plotar tudo deixaria o gráfico muito poluído\n",
    "columns_to_plot = ['roubo_transeunte',\n",
    "                   'furto_veiculos',\n",
    "                   'pessoas_desaparecidas',\n",
    "                   'hom_doloso',\n",
    "                   'estupro',\n",
    "                   'latrocinio',\n",
    "                   'hom_por_interv_policial',\n",
    "                  ]\n",
    "\n",
    "df[columns_to_plot].plot()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Se removermos o indicador *roubo_transeunte* do gráfico, percebemos que o restante dos indicadores de violência aumentaram bem pouco."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LUQWJFvcopjNZ/PkDh/HtPadb+nm6BQM4IiIi6hlKOotEKtu2rEA7SSnxg/0zHV9OWE5M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Ne2Fty1rQWUUowuBmDUKGA3ZLfal8tIzue3tJlxaNgBhZygp0SuqMXy13esx0dv7M15nMXC5uCe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\nzABOFSjXp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      "text/plain": [
       "<matplotlib.figure.Figure at 0x112eb95c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "violence_indicators2 = [\"hom_doloso\",\"lesao_corp_morte\",\"latrocinio\",\"hom_por_interv_policial\",\"tentat_hom\",\"lesao_corp_dolosa\",\"estupro\",\"hom_culposo\",\"lesao_corp_culposa\",\"roubo_comercio\",\"roubo_residencia\",\"roubo_veiculo\",\"roubo_carga\",\"roubo_em_coletivo\",\"roubo_banco\",\"roubo_cx_eletronico\",\"roubo_celular\",\"roubo_conducao_saque\",\"roubo_bicicleta\",\"outros_roubos\",\"furto_veiculos\",\"furto_bicicleta\",\"outros_furtos\",\"sequestro\",\"extorsao\",\"sequestro_relampago\",\"estelionato\",\"apreensao_drogas\",\"recuperacao_veiculos\",\"apreensoes\",\"gaai\",\"aaapai_cmba\",\"ameaca\",\"pessoas_desaparecidas\",\"encontro_cadaver\",\"encontro_ossada\",\"pol_militares_mortos_serv\",\"pol_civis_mortos_serv\"]\n",
    "df['total sem roubo_transeunte'] = df[violence_indicators2].sum(axis=1)\n",
    "df['totalsrt/100k'] = [ total / (population['population'][year] / 100000) for (year, total) in zip(df['vano'], df['total sem roubo_transeunte']) ]\n",
    "\n",
    "plt.plot(df['ano_mes'], df['totalsrt/100k'], label='linear')\n",
    "plot_avg('totalsrt/100k')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Conclusão\n",
    "\n",
    "A violência no Rio está aumentando, parece que ali entre os anos 2010-2013 tinha começado a cair mas logo voltou a subir, não sei o que estávamos fazendo de certo mas logo começamos a errar de novo.\n",
    "\n",
    "O roubo a transeuntes foi o que mais aumentou absurdamente, os outros tipos de violência nem tanto, talvez porque com a vinda dos celulares que começaram a ser muito roubados? Talvez mais pessoas fazem BO agora mesmo pra furtos simples porque é mais fácil pelo site da polícia? Não sei, são chutes.\n",
    "\n",
    "De qualquer forma analisar esses dados foi uma experiência interessante, se eu fiz alguma matemática errada, violei alguma regra ao plotar os gráficos ou coisa do tipo, por favor, me avise no twitter [@_rchaves_](https://twitter.com/_rchaves_), ainda estou aprendendo.\n",
    "\n",
    "Feedbacks são bem vindos :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "pygments_lexer": "ipython3",
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