Analytica_A2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import basedosdados as bd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|██████████| 8063/8063 [00:17<00:00, 469.37rows/s]\n",
      "Downloading: 100%|██████████| 81/81 [00:00<00:00, 170.86rows/s]\n",
      "Downloading: 100%|██████████| 99/99 [00:00<00:00, 281.61rows/s]\n"
     ]
    }
   ],
   "source": [
    "#Importações das tabelas\n",
    "inep = bd.read_table(dataset_id='br_inep_indicadores_educacionais',\n",
    "table_id='uf',\n",
    "billing_project_id=\"teste-416402\")\n",
    "\n",
    "onu = bd.read_table(dataset_id='mundo_onu_adh',\n",
    "table_id='uf',\n",
    "billing_project_id=\"teste-416402\")\n",
    "\n",
    "ips = bd.read_table(dataset_id='br_rj_rio_de_janeiro_ipp_ips',\n",
    "table_id='dimensoes_componentes',\n",
    "billing_project_id=\"teste-416402\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Seleção apenas do ano de 2010 na tabela\n",
    "onu2010 = onu[onu['ano'] == 2010]\n",
    "#Verificação de dados da tabela\n",
    "onu2010['idhm'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>expectativa_vida</th>\n",
       "      <th>fecundidade_total</th>\n",
       "      <th>mortalidade_1</th>\n",
       "      <th>mortalidade_5</th>\n",
       "      <th>razao_dependencia</th>\n",
       "      <th>prob_sobrevivencia_40</th>\n",
       "      <th>prob_sobrevivencia_60</th>\n",
       "      <th>taxa_envelhecimento</th>\n",
       "      <th>...</th>\n",
       "      <th>pia</th>\n",
       "      <th>pia_10_14</th>\n",
       "      <th>pia_15_17</th>\n",
       "      <th>pia_18_mais</th>\n",
       "      <th>indice_escolaridade</th>\n",
       "      <th>indice_frequencia_escolar</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2010</td>\n",
       "      <td>AC</td>\n",
       "      <td>71.63</td>\n",
       "      <td>2.95</td>\n",
       "      <td>23.01</td>\n",
       "      <td>24.93</td>\n",
       "      <td>61.34</td>\n",
       "      <td>94.62</td>\n",
       "      <td>84.53</td>\n",
       "      <td>4.32</td>\n",
       "      <td>...</td>\n",
       "      <td>573909.0</td>\n",
       "      <td>87707.0</td>\n",
       "      <td>48412.0</td>\n",
       "      <td>437790.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2010</td>\n",
       "      <td>AL</td>\n",
       "      <td>70.32</td>\n",
       "      <td>2.22</td>\n",
       "      <td>28.40</td>\n",
       "      <td>31.03</td>\n",
       "      <td>54.30</td>\n",
       "      <td>93.36</td>\n",
       "      <td>82.31</td>\n",
       "      <td>6.01</td>\n",
       "      <td>...</td>\n",
       "      <td>2547711.0</td>\n",
       "      <td>337867.0</td>\n",
       "      <td>194319.0</td>\n",
       "      <td>2015524.0</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2010</td>\n",
       "      <td>AM</td>\n",
       "      <td>73.30</td>\n",
       "      <td>2.59</td>\n",
       "      <td>17.01</td>\n",
       "      <td>18.22</td>\n",
       "      <td>59.33</td>\n",
       "      <td>96.03</td>\n",
       "      <td>87.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>...</td>\n",
       "      <td>2728336.0</td>\n",
       "      <td>400697.0</td>\n",
       "      <td>227553.0</td>\n",
       "      <td>2100087.0</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2010</td>\n",
       "      <td>AP</td>\n",
       "      <td>73.80</td>\n",
       "      <td>2.48</td>\n",
       "      <td>15.14</td>\n",
       "      <td>16.16</td>\n",
       "      <td>57.67</td>\n",
       "      <td>96.47</td>\n",
       "      <td>88.14</td>\n",
       "      <td>3.44</td>\n",
       "      <td>...</td>\n",
       "      <td>526975.0</td>\n",
       "      <td>79104.0</td>\n",
       "      <td>45288.0</td>\n",
       "      <td>402583.0</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.813</td>\n",
       "      <td>0.694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2010</td>\n",
       "      <td>BA</td>\n",
       "      <td>71.97</td>\n",
       "      <td>2.05</td>\n",
       "      <td>21.73</td>\n",
       "      <td>23.49</td>\n",
       "      <td>48.92</td>\n",
       "      <td>94.92</td>\n",
       "      <td>85.09</td>\n",
       "      <td>7.23</td>\n",
       "      <td>...</td>\n",
       "      <td>11764109.0</td>\n",
       "      <td>1339561.0</td>\n",
       "      <td>818228.0</td>\n",
       "      <td>9606320.0</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2010</td>\n",
       "      <td>CE</td>\n",
       "      <td>72.60</td>\n",
       "      <td>1.99</td>\n",
       "      <td>19.29</td>\n",
       "      <td>20.76</td>\n",
       "      <td>50.32</td>\n",
       "      <td>95.50</td>\n",
       "      <td>86.20</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>7111302.0</td>\n",
       "      <td>847464.0</td>\n",
       "      <td>524991.0</td>\n",
       "      <td>5738848.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2010</td>\n",
       "      <td>DF</td>\n",
       "      <td>77.35</td>\n",
       "      <td>1.75</td>\n",
       "      <td>14.01</td>\n",
       "      <td>15.85</td>\n",
       "      <td>40.14</td>\n",
       "      <td>94.57</td>\n",
       "      <td>86.19</td>\n",
       "      <td>4.97</td>\n",
       "      <td>...</td>\n",
       "      <td>2180903.0</td>\n",
       "      <td>219091.0</td>\n",
       "      <td>130872.0</td>\n",
       "      <td>1830940.0</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.824</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2010</td>\n",
       "      <td>ES</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.80</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.26</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>7.08</td>\n",
       "      <td>...</td>\n",
       "      <td>3005851.0</td>\n",
       "      <td>302376.0</td>\n",
       "      <td>181921.0</td>\n",
       "      <td>2521554.0</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2010</td>\n",
       "      <td>GO</td>\n",
       "      <td>74.60</td>\n",
       "      <td>1.87</td>\n",
       "      <td>13.96</td>\n",
       "      <td>16.28</td>\n",
       "      <td>43.41</td>\n",
       "      <td>93.33</td>\n",
       "      <td>82.69</td>\n",
       "      <td>6.25</td>\n",
       "      <td>...</td>\n",
       "      <td>5092674.0</td>\n",
       "      <td>531291.0</td>\n",
       "      <td>323865.0</td>\n",
       "      <td>4237518.0</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2010</td>\n",
       "      <td>MA</td>\n",
       "      <td>70.40</td>\n",
       "      <td>2.56</td>\n",
       "      <td>28.03</td>\n",
       "      <td>30.61</td>\n",
       "      <td>58.65</td>\n",
       "      <td>93.45</td>\n",
       "      <td>82.45</td>\n",
       "      <td>6.02</td>\n",
       "      <td>...</td>\n",
       "      <td>5264736.0</td>\n",
       "      <td>725332.0</td>\n",
       "      <td>414954.0</td>\n",
       "      <td>4124450.0</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.639</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2010</td>\n",
       "      <td>MG</td>\n",
       "      <td>75.30</td>\n",
       "      <td>1.79</td>\n",
       "      <td>15.08</td>\n",
       "      <td>17.30</td>\n",
       "      <td>44.01</td>\n",
       "      <td>93.77</td>\n",
       "      <td>82.95</td>\n",
       "      <td>8.12</td>\n",
       "      <td>...</td>\n",
       "      <td>16890981.0</td>\n",
       "      <td>1687608.0</td>\n",
       "      <td>1043929.0</td>\n",
       "      <td>14159445.0</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2010</td>\n",
       "      <td>MS</td>\n",
       "      <td>74.96</td>\n",
       "      <td>2.04</td>\n",
       "      <td>18.14</td>\n",
       "      <td>21.47</td>\n",
       "      <td>46.22</td>\n",
       "      <td>93.21</td>\n",
       "      <td>83.02</td>\n",
       "      <td>6.62</td>\n",
       "      <td>...</td>\n",
       "      <td>2059723.0</td>\n",
       "      <td>222088.0</td>\n",
       "      <td>139678.0</td>\n",
       "      <td>1697957.0</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2010</td>\n",
       "      <td>MT</td>\n",
       "      <td>74.25</td>\n",
       "      <td>2.08</td>\n",
       "      <td>16.80</td>\n",
       "      <td>20.28</td>\n",
       "      <td>44.56</td>\n",
       "      <td>92.82</td>\n",
       "      <td>82.21</td>\n",
       "      <td>5.12</td>\n",
       "      <td>...</td>\n",
       "      <td>2537660.0</td>\n",
       "      <td>281507.0</td>\n",
       "      <td>173724.0</td>\n",
       "      <td>2082429.0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.821</td>\n",
       "      <td>0.732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2010</td>\n",
       "      <td>PA</td>\n",
       "      <td>72.36</td>\n",
       "      <td>2.50</td>\n",
       "      <td>20.29</td>\n",
       "      <td>21.87</td>\n",
       "      <td>55.83</td>\n",
       "      <td>95.26</td>\n",
       "      <td>85.74</td>\n",
       "      <td>4.75</td>\n",
       "      <td>...</td>\n",
       "      <td>6062304.0</td>\n",
       "      <td>836356.0</td>\n",
       "      <td>486649.0</td>\n",
       "      <td>4739298.0</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2010</td>\n",
       "      <td>PB</td>\n",
       "      <td>72.00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>21.67</td>\n",
       "      <td>23.42</td>\n",
       "      <td>51.14</td>\n",
       "      <td>94.94</td>\n",
       "      <td>85.12</td>\n",
       "      <td>8.53</td>\n",
       "      <td>...</td>\n",
       "      <td>3161232.0</td>\n",
       "      <td>348584.0</td>\n",
       "      <td>215244.0</td>\n",
       "      <td>2597404.0</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2010</td>\n",
       "      <td>PE</td>\n",
       "      <td>72.32</td>\n",
       "      <td>1.92</td>\n",
       "      <td>20.43</td>\n",
       "      <td>22.03</td>\n",
       "      <td>49.34</td>\n",
       "      <td>95.23</td>\n",
       "      <td>85.68</td>\n",
       "      <td>7.37</td>\n",
       "      <td>...</td>\n",
       "      <td>7373671.0</td>\n",
       "      <td>835099.0</td>\n",
       "      <td>494130.0</td>\n",
       "      <td>6044442.0</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2010</td>\n",
       "      <td>PI</td>\n",
       "      <td>71.62</td>\n",
       "      <td>1.99</td>\n",
       "      <td>23.05</td>\n",
       "      <td>24.98</td>\n",
       "      <td>51.70</td>\n",
       "      <td>94.61</td>\n",
       "      <td>84.51</td>\n",
       "      <td>7.44</td>\n",
       "      <td>...</td>\n",
       "      <td>2597953.0</td>\n",
       "      <td>309431.0</td>\n",
       "      <td>184255.0</td>\n",
       "      <td>2104268.0</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2010</td>\n",
       "      <td>PR</td>\n",
       "      <td>74.80</td>\n",
       "      <td>1.86</td>\n",
       "      <td>13.08</td>\n",
       "      <td>15.07</td>\n",
       "      <td>43.78</td>\n",
       "      <td>93.64</td>\n",
       "      <td>83.48</td>\n",
       "      <td>7.53</td>\n",
       "      <td>...</td>\n",
       "      <td>8962586.0</td>\n",
       "      <td>909399.0</td>\n",
       "      <td>566147.0</td>\n",
       "      <td>7487040.0</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.749</td>\n",
       "      <td>0.668</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2010</td>\n",
       "      <td>RJ</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.68</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.07</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>8.91</td>\n",
       "      <td>...</td>\n",
       "      <td>13908173.0</td>\n",
       "      <td>1305109.0</td>\n",
       "      <td>771099.0</td>\n",
       "      <td>11831965.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2010</td>\n",
       "      <td>RN</td>\n",
       "      <td>72.52</td>\n",
       "      <td>1.98</td>\n",
       "      <td>19.70</td>\n",
       "      <td>21.21</td>\n",
       "      <td>48.03</td>\n",
       "      <td>95.40</td>\n",
       "      <td>86.02</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>2676308.0</td>\n",
       "      <td>293629.0</td>\n",
       "      <td>184517.0</td>\n",
       "      <td>2198161.0</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2010</td>\n",
       "      <td>RO</td>\n",
       "      <td>72.97</td>\n",
       "      <td>2.16</td>\n",
       "      <td>18.02</td>\n",
       "      <td>19.34</td>\n",
       "      <td>46.74</td>\n",
       "      <td>95.80</td>\n",
       "      <td>86.77</td>\n",
       "      <td>4.69</td>\n",
       "      <td>...</td>\n",
       "      <td>1294956.0</td>\n",
       "      <td>156276.0</td>\n",
       "      <td>95920.0</td>\n",
       "      <td>1042760.0</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.690</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2010</td>\n",
       "      <td>RR</td>\n",
       "      <td>73.51</td>\n",
       "      <td>2.41</td>\n",
       "      <td>16.11</td>\n",
       "      <td>17.23</td>\n",
       "      <td>57.50</td>\n",
       "      <td>96.24</td>\n",
       "      <td>87.67</td>\n",
       "      <td>3.45</td>\n",
       "      <td>...</td>\n",
       "      <td>353679.0</td>\n",
       "      <td>52332.0</td>\n",
       "      <td>29123.0</td>\n",
       "      <td>272223.0</td>\n",
       "      <td>0.587</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2010</td>\n",
       "      <td>RS</td>\n",
       "      <td>75.38</td>\n",
       "      <td>1.76</td>\n",
       "      <td>12.38</td>\n",
       "      <td>14.29</td>\n",
       "      <td>43.18</td>\n",
       "      <td>94.43</td>\n",
       "      <td>84.16</td>\n",
       "      <td>9.26</td>\n",
       "      <td>...</td>\n",
       "      <td>9327696.0</td>\n",
       "      <td>861658.0</td>\n",
       "      <td>531136.0</td>\n",
       "      <td>7934902.0</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.840</td>\n",
       "      <td>0.769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2010</td>\n",
       "      <td>SC</td>\n",
       "      <td>76.61</td>\n",
       "      <td>1.71</td>\n",
       "      <td>11.54</td>\n",
       "      <td>13.38</td>\n",
       "      <td>40.34</td>\n",
       "      <td>94.98</td>\n",
       "      <td>85.72</td>\n",
       "      <td>6.89</td>\n",
       "      <td>...</td>\n",
       "      <td>5404884.0</td>\n",
       "      <td>519558.0</td>\n",
       "      <td>326770.0</td>\n",
       "      <td>4558556.0</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2010</td>\n",
       "      <td>SE</td>\n",
       "      <td>71.84</td>\n",
       "      <td>1.95</td>\n",
       "      <td>22.22</td>\n",
       "      <td>24.04</td>\n",
       "      <td>49.34</td>\n",
       "      <td>94.81</td>\n",
       "      <td>84.88</td>\n",
       "      <td>6.14</td>\n",
       "      <td>...</td>\n",
       "      <td>1720016.0</td>\n",
       "      <td>208209.0</td>\n",
       "      <td>125881.0</td>\n",
       "      <td>1385926.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2010</td>\n",
       "      <td>SP</td>\n",
       "      <td>75.69</td>\n",
       "      <td>1.66</td>\n",
       "      <td>13.86</td>\n",
       "      <td>15.85</td>\n",
       "      <td>41.53</td>\n",
       "      <td>94.80</td>\n",
       "      <td>84.30</td>\n",
       "      <td>7.82</td>\n",
       "      <td>...</td>\n",
       "      <td>35723254.0</td>\n",
       "      <td>3325558.0</td>\n",
       "      <td>1989525.0</td>\n",
       "      <td>30408172.0</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.719</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2010</td>\n",
       "      <td>TO</td>\n",
       "      <td>72.56</td>\n",
       "      <td>2.41</td>\n",
       "      <td>19.56</td>\n",
       "      <td>21.05</td>\n",
       "      <td>52.90</td>\n",
       "      <td>95.43</td>\n",
       "      <td>86.08</td>\n",
       "      <td>5.82</td>\n",
       "      <td>...</td>\n",
       "      <td>1129714.0</td>\n",
       "      <td>144244.0</td>\n",
       "      <td>85736.0</td>\n",
       "      <td>899735.0</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.690</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 230 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ano sigla_uf  expectativa_vida  fecundidade_total  mortalidade_1  \\\n",
       "54  2010       AC             71.63               2.95          23.01   \n",
       "55  2010       AL             70.32               2.22          28.40   \n",
       "56  2010       AM             73.30               2.59          17.01   \n",
       "57  2010       AP             73.80               2.48          15.14   \n",
       "58  2010       BA             71.97               2.05          21.73   \n",
       "59  2010       CE             72.60               1.99          19.29   \n",
       "60  2010       DF             77.35               1.75          14.01   \n",
       "61  2010       ES             75.10               1.80          14.15   \n",
       "62  2010       GO             74.60               1.87          13.96   \n",
       "63  2010       MA             70.40               2.56          28.03   \n",
       "64  2010       MG             75.30               1.79          15.08   \n",
       "65  2010       MS             74.96               2.04          18.14   \n",
       "66  2010       MT             74.25               2.08          16.80   \n",
       "67  2010       PA             72.36               2.50          20.29   \n",
       "68  2010       PB             72.00               1.95          21.67   \n",
       "69  2010       PE             72.32               1.92          20.43   \n",
       "70  2010       PI             71.62               1.99          23.05   \n",
       "71  2010       PR             74.80               1.86          13.08   \n",
       "72  2010       RJ             75.10               1.68          14.15   \n",
       "73  2010       RN             72.52               1.98          19.70   \n",
       "74  2010       RO             72.97               2.16          18.02   \n",
       "75  2010       RR             73.51               2.41          16.11   \n",
       "76  2010       RS             75.38               1.76          12.38   \n",
       "77  2010       SC             76.61               1.71          11.54   \n",
       "78  2010       SE             71.84               1.95          22.22   \n",
       "79  2010       SP             75.69               1.66          13.86   \n",
       "80  2010       TO             72.56               2.41          19.56   \n",
       "\n",
       "    mortalidade_5  razao_dependencia  prob_sobrevivencia_40  \\\n",
       "54          24.93              61.34                  94.62   \n",
       "55          31.03              54.30                  93.36   \n",
       "56          18.22              59.33                  96.03   \n",
       "57          16.16              57.67                  96.47   \n",
       "58          23.49              48.92                  94.92   \n",
       "59          20.76              50.32                  95.50   \n",
       "60          15.85              40.14                  94.57   \n",
       "61          16.33              43.26                  92.57   \n",
       "62          16.28              43.41                  93.33   \n",
       "63          30.61              58.65                  93.45   \n",
       "64          17.30              44.01                  93.77   \n",
       "65          21.47              46.22                  93.21   \n",
       "66          20.28              44.56                  92.82   \n",
       "67          21.87              55.83                  95.26   \n",
       "68          23.42              51.14                  94.94   \n",
       "69          22.03              49.34                  95.23   \n",
       "70          24.98              51.70                  94.61   \n",
       "71          15.07              43.78                  93.64   \n",
       "72          16.33              43.07                  92.57   \n",
       "73          21.21              48.03                  95.40   \n",
       "74          19.34              46.74                  95.80   \n",
       "75          17.23              57.50                  96.24   \n",
       "76          14.29              43.18                  94.43   \n",
       "77          13.38              40.34                  94.98   \n",
       "78          24.04              49.34                  94.81   \n",
       "79          15.85              41.53                  94.80   \n",
       "80          21.05              52.90                  95.43   \n",
       "\n",
       "    prob_sobrevivencia_60  taxa_envelhecimento  ...         pia  pia_10_14  \\\n",
       "54                  84.53                 4.32  ...    573909.0    87707.0   \n",
       "55                  82.31                 6.01  ...   2547711.0   337867.0   \n",
       "56                  87.24                 4.03  ...   2728336.0   400697.0   \n",
       "57                  88.14                 3.44  ...    526975.0    79104.0   \n",
       "58                  85.09                 7.23  ...  11764109.0  1339561.0   \n",
       "59                  86.20                 7.54  ...   7111302.0   847464.0   \n",
       "60                  86.19                 4.97  ...   2180903.0   219091.0   \n",
       "61                  82.28                 7.08  ...   3005851.0   302376.0   \n",
       "62                  82.69                 6.25  ...   5092674.0   531291.0   \n",
       "63                  82.45                 6.02  ...   5264736.0   725332.0   \n",
       "64                  82.95                 8.12  ...  16890981.0  1687608.0   \n",
       "65                  83.02                 6.62  ...   2059723.0   222088.0   \n",
       "66                  82.21                 5.12  ...   2537660.0   281507.0   \n",
       "67                  85.74                 4.75  ...   6062304.0   836356.0   \n",
       "68                  85.12                 8.53  ...   3161232.0   348584.0   \n",
       "69                  85.68                 7.37  ...   7373671.0   835099.0   \n",
       "70                  84.51                 7.44  ...   2597953.0   309431.0   \n",
       "71                  83.48                 7.53  ...   8962586.0   909399.0   \n",
       "72                  82.28                 8.91  ...  13908173.0  1305109.0   \n",
       "73                  86.02                 7.54  ...   2676308.0   293629.0   \n",
       "74                  86.77                 4.69  ...   1294956.0   156276.0   \n",
       "75                  87.67                 3.45  ...    353679.0    52332.0   \n",
       "76                  84.16                 9.26  ...   9327696.0   861658.0   \n",
       "77                  85.72                 6.89  ...   5404884.0   519558.0   \n",
       "78                  84.88                 6.14  ...   1720016.0   208209.0   \n",
       "79                  84.30                 7.82  ...  35723254.0  3325558.0   \n",
       "80                  86.08                 5.82  ...   1129714.0   144244.0   \n",
       "\n",
       "    pia_15_17  pia_18_mais  indice_escolaridade  indice_frequencia_escolar  \\\n",
       "54    48412.0     437790.0                0.488                      0.599   \n",
       "55   194319.0    2015524.0                0.406                      0.589   \n",
       "56   227553.0    2100087.0                0.549                      0.567   \n",
       "57    45288.0     402583.0                0.618                      0.634   \n",
       "58   818228.0    9606320.0                0.461                      0.609   \n",
       "59   524991.0    5738848.0                0.488                      0.691   \n",
       "60   130872.0    1830940.0                0.723                      0.751   \n",
       "61   181921.0    2521554.0                0.552                      0.711   \n",
       "62   323865.0    4237518.0                0.550                      0.700   \n",
       "63   414954.0    4124450.0                0.444                      0.632   \n",
       "64  1043929.0   14159445.0                0.514                      0.710   \n",
       "65   139678.0    1697957.0                0.536                      0.682   \n",
       "66   173724.0    2082429.0                0.532                      0.693   \n",
       "67   486649.0    4739298.0                0.474                      0.557   \n",
       "68   215244.0    2597404.0                0.426                      0.634   \n",
       "69   494130.0    6044442.0                0.470                      0.635   \n",
       "70   184255.0    2104268.0                0.418                      0.625   \n",
       "71   566147.0    7487040.0                0.555                      0.733   \n",
       "72   771099.0   11831965.0                0.647                      0.689   \n",
       "73   184517.0    2198161.0                0.486                      0.661   \n",
       "74    95920.0    1042760.0                0.480                      0.633   \n",
       "75    29123.0     272223.0                0.587                      0.650   \n",
       "76   531136.0    7934902.0                0.563                      0.686   \n",
       "77   326770.0    4558556.0                0.589                      0.759   \n",
       "78   125881.0    1385926.0                0.469                      0.612   \n",
       "79  1989525.0   30408172.0                0.629                      0.768   \n",
       "80    85736.0     899735.0                0.526                      0.680   \n",
       "\n",
       "     idhm  idhm_e  idhm_l  idhm_r  \n",
       "54  0.663   0.559   0.777   0.671  \n",
       "55  0.631   0.520   0.755   0.641  \n",
       "56  0.674   0.561   0.805   0.677  \n",
       "57  0.708   0.629   0.813   0.694  \n",
       "58  0.660   0.555   0.783   0.663  \n",
       "59  0.682   0.615   0.793   0.651  \n",
       "60  0.824   0.742   0.873   0.863  \n",
       "61  0.740   0.653   0.835   0.743  \n",
       "62  0.735   0.646   0.827   0.742  \n",
       "63  0.639   0.562   0.757   0.612  \n",
       "64  0.731   0.638   0.838   0.730  \n",
       "65  0.729   0.629   0.833   0.740  \n",
       "66  0.725   0.635   0.821   0.732  \n",
       "67  0.646   0.528   0.789   0.646  \n",
       "68  0.658   0.555   0.783   0.656  \n",
       "69  0.673   0.574   0.789   0.673  \n",
       "70  0.646   0.547   0.777   0.635  \n",
       "71  0.749   0.668   0.830   0.757  \n",
       "72  0.761   0.675   0.835   0.782  \n",
       "73  0.684   0.597   0.792   0.678  \n",
       "74  0.690   0.577   0.800   0.712  \n",
       "75  0.707   0.628   0.809   0.695  \n",
       "76  0.746   0.642   0.840   0.769  \n",
       "77  0.774   0.697   0.860   0.773  \n",
       "78  0.665   0.560   0.781   0.672  \n",
       "79  0.783   0.719   0.845   0.789  \n",
       "80  0.699   0.624   0.793   0.690  \n",
       "\n",
       "[27 rows x 230 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "onu2010"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Verificação e tratamento da tabela\n",
    "inep['taxa_abandono_em'].isnull().sum()\n",
    "inep['taxa_abandono_em'].fillna(inep['taxa_abandono_em'].mean(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>taxa_abandono_em</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC</td>\n",
       "      <td>8.062168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AL</td>\n",
       "      <td>15.094013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AM</td>\n",
       "      <td>7.152629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AP</td>\n",
       "      <td>12.112979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BA</td>\n",
       "      <td>10.572222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CE</td>\n",
       "      <td>8.527679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DF</td>\n",
       "      <td>4.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ES</td>\n",
       "      <td>4.227778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GO</td>\n",
       "      <td>7.772222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MA</td>\n",
       "      <td>11.144444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>MG</td>\n",
       "      <td>5.855556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MS</td>\n",
       "      <td>7.172124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MT</td>\n",
       "      <td>6.994149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>PA</td>\n",
       "      <td>13.276471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>PB</td>\n",
       "      <td>14.266568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>PE</td>\n",
       "      <td>8.605556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>PI</td>\n",
       "      <td>13.641176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>PR</td>\n",
       "      <td>5.166273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RJ</td>\n",
       "      <td>8.672222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RN</td>\n",
       "      <td>10.555457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>RO</td>\n",
       "      <td>7.949902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RR</td>\n",
       "      <td>5.327679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RS</td>\n",
       "      <td>8.616667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SC</td>\n",
       "      <td>4.344444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SE</td>\n",
       "      <td>10.055359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SP</td>\n",
       "      <td>3.405457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>TO</td>\n",
       "      <td>5.871927</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sigla_uf  taxa_abandono_em\n",
       "0        AC          8.062168\n",
       "1        AL         15.094013\n",
       "2        AM          7.152629\n",
       "3        AP         12.112979\n",
       "4        BA         10.572222\n",
       "5        CE          8.527679\n",
       "6        DF          4.520000\n",
       "7        ES          4.227778\n",
       "8        GO          7.772222\n",
       "9        MA         11.144444\n",
       "10       MG          5.855556\n",
       "11       MS          7.172124\n",
       "12       MT          6.994149\n",
       "13       PA         13.276471\n",
       "14       PB         14.266568\n",
       "15       PE          8.605556\n",
       "16       PI         13.641176\n",
       "17       PR          5.166273\n",
       "18       RJ          8.672222\n",
       "19       RN         10.555457\n",
       "20       RO          7.949902\n",
       "21       RR          5.327679\n",
       "22       RS          8.616667\n",
       "23       SC          4.344444\n",
       "24       SE         10.055359\n",
       "25       SP          3.405457\n",
       "26       TO          5.871927"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Separação apenas de um ano e média entre todas as informações de cada estado\n",
    "inep_2010 = inep[inep['ano'] == 2010]\n",
    "inep_2010_evasao = inep_2010.groupby('sigla_uf')['taxa_abandono_em'].mean()\n",
    "inep_2010_evasaodf = pd.DataFrame({'sigla_uf': inep_2010_evasao.index, 'taxa_abandono_em': inep_2010_evasao.values})\n",
    "inep_2010_evasaodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>expectativa_vida</th>\n",
       "      <th>fecundidade_total</th>\n",
       "      <th>mortalidade_1</th>\n",
       "      <th>mortalidade_5</th>\n",
       "      <th>razao_dependencia</th>\n",
       "      <th>prob_sobrevivencia_40</th>\n",
       "      <th>prob_sobrevivencia_60</th>\n",
       "      <th>taxa_envelhecimento</th>\n",
       "      <th>...</th>\n",
       "      <th>pia_10_14</th>\n",
       "      <th>pia_15_17</th>\n",
       "      <th>pia_18_mais</th>\n",
       "      <th>indice_escolaridade</th>\n",
       "      <th>indice_frequencia_escolar</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "      <th>taxa_abandono_em</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010</td>\n",
       "      <td>AC</td>\n",
       "      <td>71.63</td>\n",
       "      <td>2.95</td>\n",
       "      <td>23.01</td>\n",
       "      <td>24.93</td>\n",
       "      <td>61.34</td>\n",
       "      <td>94.62</td>\n",
       "      <td>84.53</td>\n",
       "      <td>4.32</td>\n",
       "      <td>...</td>\n",
       "      <td>87707.0</td>\n",
       "      <td>48412.0</td>\n",
       "      <td>437790.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.671</td>\n",
       "      <td>8.062168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>AL</td>\n",
       "      <td>70.32</td>\n",
       "      <td>2.22</td>\n",
       "      <td>28.40</td>\n",
       "      <td>31.03</td>\n",
       "      <td>54.30</td>\n",
       "      <td>93.36</td>\n",
       "      <td>82.31</td>\n",
       "      <td>6.01</td>\n",
       "      <td>...</td>\n",
       "      <td>337867.0</td>\n",
       "      <td>194319.0</td>\n",
       "      <td>2015524.0</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.641</td>\n",
       "      <td>15.094013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010</td>\n",
       "      <td>AM</td>\n",
       "      <td>73.30</td>\n",
       "      <td>2.59</td>\n",
       "      <td>17.01</td>\n",
       "      <td>18.22</td>\n",
       "      <td>59.33</td>\n",
       "      <td>96.03</td>\n",
       "      <td>87.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>...</td>\n",
       "      <td>400697.0</td>\n",
       "      <td>227553.0</td>\n",
       "      <td>2100087.0</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.677</td>\n",
       "      <td>7.152629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010</td>\n",
       "      <td>AP</td>\n",
       "      <td>73.80</td>\n",
       "      <td>2.48</td>\n",
       "      <td>15.14</td>\n",
       "      <td>16.16</td>\n",
       "      <td>57.67</td>\n",
       "      <td>96.47</td>\n",
       "      <td>88.14</td>\n",
       "      <td>3.44</td>\n",
       "      <td>...</td>\n",
       "      <td>79104.0</td>\n",
       "      <td>45288.0</td>\n",
       "      <td>402583.0</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.813</td>\n",
       "      <td>0.694</td>\n",
       "      <td>12.112979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010</td>\n",
       "      <td>BA</td>\n",
       "      <td>71.97</td>\n",
       "      <td>2.05</td>\n",
       "      <td>21.73</td>\n",
       "      <td>23.49</td>\n",
       "      <td>48.92</td>\n",
       "      <td>94.92</td>\n",
       "      <td>85.09</td>\n",
       "      <td>7.23</td>\n",
       "      <td>...</td>\n",
       "      <td>1339561.0</td>\n",
       "      <td>818228.0</td>\n",
       "      <td>9606320.0</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.663</td>\n",
       "      <td>10.572222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2010</td>\n",
       "      <td>CE</td>\n",
       "      <td>72.60</td>\n",
       "      <td>1.99</td>\n",
       "      <td>19.29</td>\n",
       "      <td>20.76</td>\n",
       "      <td>50.32</td>\n",
       "      <td>95.50</td>\n",
       "      <td>86.20</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>847464.0</td>\n",
       "      <td>524991.0</td>\n",
       "      <td>5738848.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.651</td>\n",
       "      <td>8.527679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010</td>\n",
       "      <td>DF</td>\n",
       "      <td>77.35</td>\n",
       "      <td>1.75</td>\n",
       "      <td>14.01</td>\n",
       "      <td>15.85</td>\n",
       "      <td>40.14</td>\n",
       "      <td>94.57</td>\n",
       "      <td>86.19</td>\n",
       "      <td>4.97</td>\n",
       "      <td>...</td>\n",
       "      <td>219091.0</td>\n",
       "      <td>130872.0</td>\n",
       "      <td>1830940.0</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.824</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.863</td>\n",
       "      <td>4.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>ES</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.80</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.26</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>7.08</td>\n",
       "      <td>...</td>\n",
       "      <td>302376.0</td>\n",
       "      <td>181921.0</td>\n",
       "      <td>2521554.0</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.743</td>\n",
       "      <td>4.227778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2010</td>\n",
       "      <td>GO</td>\n",
       "      <td>74.60</td>\n",
       "      <td>1.87</td>\n",
       "      <td>13.96</td>\n",
       "      <td>16.28</td>\n",
       "      <td>43.41</td>\n",
       "      <td>93.33</td>\n",
       "      <td>82.69</td>\n",
       "      <td>6.25</td>\n",
       "      <td>...</td>\n",
       "      <td>531291.0</td>\n",
       "      <td>323865.0</td>\n",
       "      <td>4237518.0</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.742</td>\n",
       "      <td>7.772222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2010</td>\n",
       "      <td>MA</td>\n",
       "      <td>70.40</td>\n",
       "      <td>2.56</td>\n",
       "      <td>28.03</td>\n",
       "      <td>30.61</td>\n",
       "      <td>58.65</td>\n",
       "      <td>93.45</td>\n",
       "      <td>82.45</td>\n",
       "      <td>6.02</td>\n",
       "      <td>...</td>\n",
       "      <td>725332.0</td>\n",
       "      <td>414954.0</td>\n",
       "      <td>4124450.0</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.639</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.612</td>\n",
       "      <td>11.144444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2010</td>\n",
       "      <td>MG</td>\n",
       "      <td>75.30</td>\n",
       "      <td>1.79</td>\n",
       "      <td>15.08</td>\n",
       "      <td>17.30</td>\n",
       "      <td>44.01</td>\n",
       "      <td>93.77</td>\n",
       "      <td>82.95</td>\n",
       "      <td>8.12</td>\n",
       "      <td>...</td>\n",
       "      <td>1687608.0</td>\n",
       "      <td>1043929.0</td>\n",
       "      <td>14159445.0</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.730</td>\n",
       "      <td>5.855556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2010</td>\n",
       "      <td>MS</td>\n",
       "      <td>74.96</td>\n",
       "      <td>2.04</td>\n",
       "      <td>18.14</td>\n",
       "      <td>21.47</td>\n",
       "      <td>46.22</td>\n",
       "      <td>93.21</td>\n",
       "      <td>83.02</td>\n",
       "      <td>6.62</td>\n",
       "      <td>...</td>\n",
       "      <td>222088.0</td>\n",
       "      <td>139678.0</td>\n",
       "      <td>1697957.0</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.740</td>\n",
       "      <td>7.172124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2010</td>\n",
       "      <td>MT</td>\n",
       "      <td>74.25</td>\n",
       "      <td>2.08</td>\n",
       "      <td>16.80</td>\n",
       "      <td>20.28</td>\n",
       "      <td>44.56</td>\n",
       "      <td>92.82</td>\n",
       "      <td>82.21</td>\n",
       "      <td>5.12</td>\n",
       "      <td>...</td>\n",
       "      <td>281507.0</td>\n",
       "      <td>173724.0</td>\n",
       "      <td>2082429.0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.821</td>\n",
       "      <td>0.732</td>\n",
       "      <td>6.994149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2010</td>\n",
       "      <td>PA</td>\n",
       "      <td>72.36</td>\n",
       "      <td>2.50</td>\n",
       "      <td>20.29</td>\n",
       "      <td>21.87</td>\n",
       "      <td>55.83</td>\n",
       "      <td>95.26</td>\n",
       "      <td>85.74</td>\n",
       "      <td>4.75</td>\n",
       "      <td>...</td>\n",
       "      <td>836356.0</td>\n",
       "      <td>486649.0</td>\n",
       "      <td>4739298.0</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.646</td>\n",
       "      <td>13.276471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2010</td>\n",
       "      <td>PB</td>\n",
       "      <td>72.00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>21.67</td>\n",
       "      <td>23.42</td>\n",
       "      <td>51.14</td>\n",
       "      <td>94.94</td>\n",
       "      <td>85.12</td>\n",
       "      <td>8.53</td>\n",
       "      <td>...</td>\n",
       "      <td>348584.0</td>\n",
       "      <td>215244.0</td>\n",
       "      <td>2597404.0</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.656</td>\n",
       "      <td>14.266568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2010</td>\n",
       "      <td>PE</td>\n",
       "      <td>72.32</td>\n",
       "      <td>1.92</td>\n",
       "      <td>20.43</td>\n",
       "      <td>22.03</td>\n",
       "      <td>49.34</td>\n",
       "      <td>95.23</td>\n",
       "      <td>85.68</td>\n",
       "      <td>7.37</td>\n",
       "      <td>...</td>\n",
       "      <td>835099.0</td>\n",
       "      <td>494130.0</td>\n",
       "      <td>6044442.0</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.673</td>\n",
       "      <td>8.605556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2010</td>\n",
       "      <td>PI</td>\n",
       "      <td>71.62</td>\n",
       "      <td>1.99</td>\n",
       "      <td>23.05</td>\n",
       "      <td>24.98</td>\n",
       "      <td>51.70</td>\n",
       "      <td>94.61</td>\n",
       "      <td>84.51</td>\n",
       "      <td>7.44</td>\n",
       "      <td>...</td>\n",
       "      <td>309431.0</td>\n",
       "      <td>184255.0</td>\n",
       "      <td>2104268.0</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.635</td>\n",
       "      <td>13.641176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2010</td>\n",
       "      <td>PR</td>\n",
       "      <td>74.80</td>\n",
       "      <td>1.86</td>\n",
       "      <td>13.08</td>\n",
       "      <td>15.07</td>\n",
       "      <td>43.78</td>\n",
       "      <td>93.64</td>\n",
       "      <td>83.48</td>\n",
       "      <td>7.53</td>\n",
       "      <td>...</td>\n",
       "      <td>909399.0</td>\n",
       "      <td>566147.0</td>\n",
       "      <td>7487040.0</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.749</td>\n",
       "      <td>0.668</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.757</td>\n",
       "      <td>5.166273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2010</td>\n",
       "      <td>RJ</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.68</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.07</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>8.91</td>\n",
       "      <td>...</td>\n",
       "      <td>1305109.0</td>\n",
       "      <td>771099.0</td>\n",
       "      <td>11831965.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.782</td>\n",
       "      <td>8.672222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2010</td>\n",
       "      <td>RN</td>\n",
       "      <td>72.52</td>\n",
       "      <td>1.98</td>\n",
       "      <td>19.70</td>\n",
       "      <td>21.21</td>\n",
       "      <td>48.03</td>\n",
       "      <td>95.40</td>\n",
       "      <td>86.02</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>293629.0</td>\n",
       "      <td>184517.0</td>\n",
       "      <td>2198161.0</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.678</td>\n",
       "      <td>10.555457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2010</td>\n",
       "      <td>RO</td>\n",
       "      <td>72.97</td>\n",
       "      <td>2.16</td>\n",
       "      <td>18.02</td>\n",
       "      <td>19.34</td>\n",
       "      <td>46.74</td>\n",
       "      <td>95.80</td>\n",
       "      <td>86.77</td>\n",
       "      <td>4.69</td>\n",
       "      <td>...</td>\n",
       "      <td>156276.0</td>\n",
       "      <td>95920.0</td>\n",
       "      <td>1042760.0</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.690</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.712</td>\n",
       "      <td>7.949902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2010</td>\n",
       "      <td>RR</td>\n",
       "      <td>73.51</td>\n",
       "      <td>2.41</td>\n",
       "      <td>16.11</td>\n",
       "      <td>17.23</td>\n",
       "      <td>57.50</td>\n",
       "      <td>96.24</td>\n",
       "      <td>87.67</td>\n",
       "      <td>3.45</td>\n",
       "      <td>...</td>\n",
       "      <td>52332.0</td>\n",
       "      <td>29123.0</td>\n",
       "      <td>272223.0</td>\n",
       "      <td>0.587</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.695</td>\n",
       "      <td>5.327679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2010</td>\n",
       "      <td>RS</td>\n",
       "      <td>75.38</td>\n",
       "      <td>1.76</td>\n",
       "      <td>12.38</td>\n",
       "      <td>14.29</td>\n",
       "      <td>43.18</td>\n",
       "      <td>94.43</td>\n",
       "      <td>84.16</td>\n",
       "      <td>9.26</td>\n",
       "      <td>...</td>\n",
       "      <td>861658.0</td>\n",
       "      <td>531136.0</td>\n",
       "      <td>7934902.0</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.840</td>\n",
       "      <td>0.769</td>\n",
       "      <td>8.616667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2010</td>\n",
       "      <td>SC</td>\n",
       "      <td>76.61</td>\n",
       "      <td>1.71</td>\n",
       "      <td>11.54</td>\n",
       "      <td>13.38</td>\n",
       "      <td>40.34</td>\n",
       "      <td>94.98</td>\n",
       "      <td>85.72</td>\n",
       "      <td>6.89</td>\n",
       "      <td>...</td>\n",
       "      <td>519558.0</td>\n",
       "      <td>326770.0</td>\n",
       "      <td>4558556.0</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.773</td>\n",
       "      <td>4.344444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2010</td>\n",
       "      <td>SE</td>\n",
       "      <td>71.84</td>\n",
       "      <td>1.95</td>\n",
       "      <td>22.22</td>\n",
       "      <td>24.04</td>\n",
       "      <td>49.34</td>\n",
       "      <td>94.81</td>\n",
       "      <td>84.88</td>\n",
       "      <td>6.14</td>\n",
       "      <td>...</td>\n",
       "      <td>208209.0</td>\n",
       "      <td>125881.0</td>\n",
       "      <td>1385926.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.672</td>\n",
       "      <td>10.055359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2010</td>\n",
       "      <td>SP</td>\n",
       "      <td>75.69</td>\n",
       "      <td>1.66</td>\n",
       "      <td>13.86</td>\n",
       "      <td>15.85</td>\n",
       "      <td>41.53</td>\n",
       "      <td>94.80</td>\n",
       "      <td>84.30</td>\n",
       "      <td>7.82</td>\n",
       "      <td>...</td>\n",
       "      <td>3325558.0</td>\n",
       "      <td>1989525.0</td>\n",
       "      <td>30408172.0</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.719</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.789</td>\n",
       "      <td>3.405457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2010</td>\n",
       "      <td>TO</td>\n",
       "      <td>72.56</td>\n",
       "      <td>2.41</td>\n",
       "      <td>19.56</td>\n",
       "      <td>21.05</td>\n",
       "      <td>52.90</td>\n",
       "      <td>95.43</td>\n",
       "      <td>86.08</td>\n",
       "      <td>5.82</td>\n",
       "      <td>...</td>\n",
       "      <td>144244.0</td>\n",
       "      <td>85736.0</td>\n",
       "      <td>899735.0</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.690</td>\n",
       "      <td>5.871927</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 231 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ano sigla_uf  expectativa_vida  fecundidade_total  mortalidade_1  \\\n",
       "0   2010       AC             71.63               2.95          23.01   \n",
       "1   2010       AL             70.32               2.22          28.40   \n",
       "2   2010       AM             73.30               2.59          17.01   \n",
       "3   2010       AP             73.80               2.48          15.14   \n",
       "4   2010       BA             71.97               2.05          21.73   \n",
       "5   2010       CE             72.60               1.99          19.29   \n",
       "6   2010       DF             77.35               1.75          14.01   \n",
       "7   2010       ES             75.10               1.80          14.15   \n",
       "8   2010       GO             74.60               1.87          13.96   \n",
       "9   2010       MA             70.40               2.56          28.03   \n",
       "10  2010       MG             75.30               1.79          15.08   \n",
       "11  2010       MS             74.96               2.04          18.14   \n",
       "12  2010       MT             74.25               2.08          16.80   \n",
       "13  2010       PA             72.36               2.50          20.29   \n",
       "14  2010       PB             72.00               1.95          21.67   \n",
       "15  2010       PE             72.32               1.92          20.43   \n",
       "16  2010       PI             71.62               1.99          23.05   \n",
       "17  2010       PR             74.80               1.86          13.08   \n",
       "18  2010       RJ             75.10               1.68          14.15   \n",
       "19  2010       RN             72.52               1.98          19.70   \n",
       "20  2010       RO             72.97               2.16          18.02   \n",
       "21  2010       RR             73.51               2.41          16.11   \n",
       "22  2010       RS             75.38               1.76          12.38   \n",
       "23  2010       SC             76.61               1.71          11.54   \n",
       "24  2010       SE             71.84               1.95          22.22   \n",
       "25  2010       SP             75.69               1.66          13.86   \n",
       "26  2010       TO             72.56               2.41          19.56   \n",
       "\n",
       "    mortalidade_5  razao_dependencia  prob_sobrevivencia_40  \\\n",
       "0           24.93              61.34                  94.62   \n",
       "1           31.03              54.30                  93.36   \n",
       "2           18.22              59.33                  96.03   \n",
       "3           16.16              57.67                  96.47   \n",
       "4           23.49              48.92                  94.92   \n",
       "5           20.76              50.32                  95.50   \n",
       "6           15.85              40.14                  94.57   \n",
       "7           16.33              43.26                  92.57   \n",
       "8           16.28              43.41                  93.33   \n",
       "9           30.61              58.65                  93.45   \n",
       "10          17.30              44.01                  93.77   \n",
       "11          21.47              46.22                  93.21   \n",
       "12          20.28              44.56                  92.82   \n",
       "13          21.87              55.83                  95.26   \n",
       "14          23.42              51.14                  94.94   \n",
       "15          22.03              49.34                  95.23   \n",
       "16          24.98              51.70                  94.61   \n",
       "17          15.07              43.78                  93.64   \n",
       "18          16.33              43.07                  92.57   \n",
       "19          21.21              48.03                  95.40   \n",
       "20          19.34              46.74                  95.80   \n",
       "21          17.23              57.50                  96.24   \n",
       "22          14.29              43.18                  94.43   \n",
       "23          13.38              40.34                  94.98   \n",
       "24          24.04              49.34                  94.81   \n",
       "25          15.85              41.53                  94.80   \n",
       "26          21.05              52.90                  95.43   \n",
       "\n",
       "    prob_sobrevivencia_60  taxa_envelhecimento  ...  pia_10_14  pia_15_17  \\\n",
       "0                   84.53                 4.32  ...    87707.0    48412.0   \n",
       "1                   82.31                 6.01  ...   337867.0   194319.0   \n",
       "2                   87.24                 4.03  ...   400697.0   227553.0   \n",
       "3                   88.14                 3.44  ...    79104.0    45288.0   \n",
       "4                   85.09                 7.23  ...  1339561.0   818228.0   \n",
       "5                   86.20                 7.54  ...   847464.0   524991.0   \n",
       "6                   86.19                 4.97  ...   219091.0   130872.0   \n",
       "7                   82.28                 7.08  ...   302376.0   181921.0   \n",
       "8                   82.69                 6.25  ...   531291.0   323865.0   \n",
       "9                   82.45                 6.02  ...   725332.0   414954.0   \n",
       "10                  82.95                 8.12  ...  1687608.0  1043929.0   \n",
       "11                  83.02                 6.62  ...   222088.0   139678.0   \n",
       "12                  82.21                 5.12  ...   281507.0   173724.0   \n",
       "13                  85.74                 4.75  ...   836356.0   486649.0   \n",
       "14                  85.12                 8.53  ...   348584.0   215244.0   \n",
       "15                  85.68                 7.37  ...   835099.0   494130.0   \n",
       "16                  84.51                 7.44  ...   309431.0   184255.0   \n",
       "17                  83.48                 7.53  ...   909399.0   566147.0   \n",
       "18                  82.28                 8.91  ...  1305109.0   771099.0   \n",
       "19                  86.02                 7.54  ...   293629.0   184517.0   \n",
       "20                  86.77                 4.69  ...   156276.0    95920.0   \n",
       "21                  87.67                 3.45  ...    52332.0    29123.0   \n",
       "22                  84.16                 9.26  ...   861658.0   531136.0   \n",
       "23                  85.72                 6.89  ...   519558.0   326770.0   \n",
       "24                  84.88                 6.14  ...   208209.0   125881.0   \n",
       "25                  84.30                 7.82  ...  3325558.0  1989525.0   \n",
       "26                  86.08                 5.82  ...   144244.0    85736.0   \n",
       "\n",
       "    pia_18_mais  indice_escolaridade  indice_frequencia_escolar   idhm  \\\n",
       "0      437790.0                0.488                      0.599  0.663   \n",
       "1     2015524.0                0.406                      0.589  0.631   \n",
       "2     2100087.0                0.549                      0.567  0.674   \n",
       "3      402583.0                0.618                      0.634  0.708   \n",
       "4     9606320.0                0.461                      0.609  0.660   \n",
       "5     5738848.0                0.488                      0.691  0.682   \n",
       "6     1830940.0                0.723                      0.751  0.824   \n",
       "7     2521554.0                0.552                      0.711  0.740   \n",
       "8     4237518.0                0.550                      0.700  0.735   \n",
       "9     4124450.0                0.444                      0.632  0.639   \n",
       "10   14159445.0                0.514                      0.710  0.731   \n",
       "11    1697957.0                0.536                      0.682  0.729   \n",
       "12    2082429.0                0.532                      0.693  0.725   \n",
       "13    4739298.0                0.474                      0.557  0.646   \n",
       "14    2597404.0                0.426                      0.634  0.658   \n",
       "15    6044442.0                0.470                      0.635  0.673   \n",
       "16    2104268.0                0.418                      0.625  0.646   \n",
       "17    7487040.0                0.555                      0.733  0.749   \n",
       "18   11831965.0                0.647                      0.689  0.761   \n",
       "19    2198161.0                0.486                      0.661  0.684   \n",
       "20    1042760.0                0.480                      0.633  0.690   \n",
       "21     272223.0                0.587                      0.650  0.707   \n",
       "22    7934902.0                0.563                      0.686  0.746   \n",
       "23    4558556.0                0.589                      0.759  0.774   \n",
       "24    1385926.0                0.469                      0.612  0.665   \n",
       "25   30408172.0                0.629                      0.768  0.783   \n",
       "26     899735.0                0.526                      0.680  0.699   \n",
       "\n",
       "    idhm_e  idhm_l  idhm_r  taxa_abandono_em  \n",
       "0    0.559   0.777   0.671          8.062168  \n",
       "1    0.520   0.755   0.641         15.094013  \n",
       "2    0.561   0.805   0.677          7.152629  \n",
       "3    0.629   0.813   0.694         12.112979  \n",
       "4    0.555   0.783   0.663         10.572222  \n",
       "5    0.615   0.793   0.651          8.527679  \n",
       "6    0.742   0.873   0.863          4.520000  \n",
       "7    0.653   0.835   0.743          4.227778  \n",
       "8    0.646   0.827   0.742          7.772222  \n",
       "9    0.562   0.757   0.612         11.144444  \n",
       "10   0.638   0.838   0.730          5.855556  \n",
       "11   0.629   0.833   0.740          7.172124  \n",
       "12   0.635   0.821   0.732          6.994149  \n",
       "13   0.528   0.789   0.646         13.276471  \n",
       "14   0.555   0.783   0.656         14.266568  \n",
       "15   0.574   0.789   0.673          8.605556  \n",
       "16   0.547   0.777   0.635         13.641176  \n",
       "17   0.668   0.830   0.757          5.166273  \n",
       "18   0.675   0.835   0.782          8.672222  \n",
       "19   0.597   0.792   0.678         10.555457  \n",
       "20   0.577   0.800   0.712          7.949902  \n",
       "21   0.628   0.809   0.695          5.327679  \n",
       "22   0.642   0.840   0.769          8.616667  \n",
       "23   0.697   0.860   0.773          4.344444  \n",
       "24   0.560   0.781   0.672         10.055359  \n",
       "25   0.719   0.845   0.789          3.405457  \n",
       "26   0.624   0.793   0.690          5.871927  \n",
       "\n",
       "[27 rows x 231 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Junção das tabelas para análise\n",
    "tabela_comparacao_em = pd.merge(onu2010, inep_2010_evasaodf, on='sigla_uf', how='inner')\n",
    "tabela_comparacao_em"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_em['idhm'], tabela_comparacao_em['taxa_abandono_em'])\n",
    "plt.title('Relação entre IDH e Taxa de Evasão do Ensino Médio por UF no ano de 2010')\n",
    "plt.xlabel('IDH')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Médio')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_em['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_em['idhm'][i], tabela_comparacao_em['taxa_abandono_em'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Verificação e trtamento da tabela\n",
    "inep['taxa_abandono_ef'].isnull().sum()\n",
    "inep['taxa_abandono_ef'].fillna(inep['taxa_abandono_ef'].mean(), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>taxa_abandono_ef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC</td>\n",
       "      <td>3.843750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AL</td>\n",
       "      <td>7.586667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AM</td>\n",
       "      <td>5.205882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AP</td>\n",
       "      <td>2.926667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BA</td>\n",
       "      <td>5.329412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CE</td>\n",
       "      <td>2.664706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DF</td>\n",
       "      <td>0.864286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ES</td>\n",
       "      <td>1.686667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GO</td>\n",
       "      <td>2.941176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>MA</td>\n",
       "      <td>3.227778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>MG</td>\n",
       "      <td>1.658824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>MS</td>\n",
       "      <td>2.476471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MT</td>\n",
       "      <td>1.233333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>PA</td>\n",
       "      <td>5.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>PB</td>\n",
       "      <td>6.846667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>PE</td>\n",
       "      <td>3.847059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>PI</td>\n",
       "      <td>3.294118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>PR</td>\n",
       "      <td>1.441176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>RJ</td>\n",
       "      <td>2.370588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RN</td>\n",
       "      <td>4.582353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>RO</td>\n",
       "      <td>2.993333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>RR</td>\n",
       "      <td>2.262500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>RS</td>\n",
       "      <td>1.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SC</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SE</td>\n",
       "      <td>3.964706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SP</td>\n",
       "      <td>0.652941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>TO</td>\n",
       "      <td>2.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sigla_uf  taxa_abandono_ef\n",
       "0        AC          3.843750\n",
       "1        AL          7.586667\n",
       "2        AM          5.205882\n",
       "3        AP          2.926667\n",
       "4        BA          5.329412\n",
       "5        CE          2.664706\n",
       "6        DF          0.864286\n",
       "7        ES          1.686667\n",
       "8        GO          2.941176\n",
       "9        MA          3.227778\n",
       "10       MG          1.658824\n",
       "11       MS          2.476471\n",
       "12       MT          1.233333\n",
       "13       PA          5.200000\n",
       "14       PB          6.846667\n",
       "15       PE          3.847059\n",
       "16       PI          3.294118\n",
       "17       PR          1.441176\n",
       "18       RJ          2.370588\n",
       "19       RN          4.582353\n",
       "20       RO          2.993333\n",
       "21       RR          2.262500\n",
       "22       RS          1.200000\n",
       "23       SC          0.600000\n",
       "24       SE          3.964706\n",
       "25       SP          0.652941\n",
       "26       TO          2.200000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Separação apenas de um ano e média entre todas as informações de cada estado\n",
    "inep_2010_evasaoef = inep_2010.groupby('sigla_uf')['taxa_abandono_ef'].mean()\n",
    "inep_2010_evasaoefdf = pd.DataFrame({'sigla_uf': inep_2010_evasaoef.index, 'taxa_abandono_ef': inep_2010_evasaoef.values})\n",
    "inep_2010_evasaoefdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano</th>\n",
       "      <th>sigla_uf</th>\n",
       "      <th>expectativa_vida</th>\n",
       "      <th>fecundidade_total</th>\n",
       "      <th>mortalidade_1</th>\n",
       "      <th>mortalidade_5</th>\n",
       "      <th>razao_dependencia</th>\n",
       "      <th>prob_sobrevivencia_40</th>\n",
       "      <th>prob_sobrevivencia_60</th>\n",
       "      <th>taxa_envelhecimento</th>\n",
       "      <th>...</th>\n",
       "      <th>pia_10_14</th>\n",
       "      <th>pia_15_17</th>\n",
       "      <th>pia_18_mais</th>\n",
       "      <th>indice_escolaridade</th>\n",
       "      <th>indice_frequencia_escolar</th>\n",
       "      <th>idhm</th>\n",
       "      <th>idhm_e</th>\n",
       "      <th>idhm_l</th>\n",
       "      <th>idhm_r</th>\n",
       "      <th>taxa_abandono_ef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010</td>\n",
       "      <td>AC</td>\n",
       "      <td>71.63</td>\n",
       "      <td>2.95</td>\n",
       "      <td>23.01</td>\n",
       "      <td>24.93</td>\n",
       "      <td>61.34</td>\n",
       "      <td>94.62</td>\n",
       "      <td>84.53</td>\n",
       "      <td>4.32</td>\n",
       "      <td>...</td>\n",
       "      <td>87707.0</td>\n",
       "      <td>48412.0</td>\n",
       "      <td>437790.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.599</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.671</td>\n",
       "      <td>3.843750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010</td>\n",
       "      <td>AL</td>\n",
       "      <td>70.32</td>\n",
       "      <td>2.22</td>\n",
       "      <td>28.40</td>\n",
       "      <td>31.03</td>\n",
       "      <td>54.30</td>\n",
       "      <td>93.36</td>\n",
       "      <td>82.31</td>\n",
       "      <td>6.01</td>\n",
       "      <td>...</td>\n",
       "      <td>337867.0</td>\n",
       "      <td>194319.0</td>\n",
       "      <td>2015524.0</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.641</td>\n",
       "      <td>7.586667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010</td>\n",
       "      <td>AM</td>\n",
       "      <td>73.30</td>\n",
       "      <td>2.59</td>\n",
       "      <td>17.01</td>\n",
       "      <td>18.22</td>\n",
       "      <td>59.33</td>\n",
       "      <td>96.03</td>\n",
       "      <td>87.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>...</td>\n",
       "      <td>400697.0</td>\n",
       "      <td>227553.0</td>\n",
       "      <td>2100087.0</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.674</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.677</td>\n",
       "      <td>5.205882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010</td>\n",
       "      <td>AP</td>\n",
       "      <td>73.80</td>\n",
       "      <td>2.48</td>\n",
       "      <td>15.14</td>\n",
       "      <td>16.16</td>\n",
       "      <td>57.67</td>\n",
       "      <td>96.47</td>\n",
       "      <td>88.14</td>\n",
       "      <td>3.44</td>\n",
       "      <td>...</td>\n",
       "      <td>79104.0</td>\n",
       "      <td>45288.0</td>\n",
       "      <td>402583.0</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.813</td>\n",
       "      <td>0.694</td>\n",
       "      <td>2.926667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010</td>\n",
       "      <td>BA</td>\n",
       "      <td>71.97</td>\n",
       "      <td>2.05</td>\n",
       "      <td>21.73</td>\n",
       "      <td>23.49</td>\n",
       "      <td>48.92</td>\n",
       "      <td>94.92</td>\n",
       "      <td>85.09</td>\n",
       "      <td>7.23</td>\n",
       "      <td>...</td>\n",
       "      <td>1339561.0</td>\n",
       "      <td>818228.0</td>\n",
       "      <td>9606320.0</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.663</td>\n",
       "      <td>5.329412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2010</td>\n",
       "      <td>CE</td>\n",
       "      <td>72.60</td>\n",
       "      <td>1.99</td>\n",
       "      <td>19.29</td>\n",
       "      <td>20.76</td>\n",
       "      <td>50.32</td>\n",
       "      <td>95.50</td>\n",
       "      <td>86.20</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>847464.0</td>\n",
       "      <td>524991.0</td>\n",
       "      <td>5738848.0</td>\n",
       "      <td>0.488</td>\n",
       "      <td>0.691</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.651</td>\n",
       "      <td>2.664706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010</td>\n",
       "      <td>DF</td>\n",
       "      <td>77.35</td>\n",
       "      <td>1.75</td>\n",
       "      <td>14.01</td>\n",
       "      <td>15.85</td>\n",
       "      <td>40.14</td>\n",
       "      <td>94.57</td>\n",
       "      <td>86.19</td>\n",
       "      <td>4.97</td>\n",
       "      <td>...</td>\n",
       "      <td>219091.0</td>\n",
       "      <td>130872.0</td>\n",
       "      <td>1830940.0</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.824</td>\n",
       "      <td>0.742</td>\n",
       "      <td>0.873</td>\n",
       "      <td>0.863</td>\n",
       "      <td>0.864286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>ES</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.80</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.26</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>7.08</td>\n",
       "      <td>...</td>\n",
       "      <td>302376.0</td>\n",
       "      <td>181921.0</td>\n",
       "      <td>2521554.0</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.743</td>\n",
       "      <td>1.686667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2010</td>\n",
       "      <td>GO</td>\n",
       "      <td>74.60</td>\n",
       "      <td>1.87</td>\n",
       "      <td>13.96</td>\n",
       "      <td>16.28</td>\n",
       "      <td>43.41</td>\n",
       "      <td>93.33</td>\n",
       "      <td>82.69</td>\n",
       "      <td>6.25</td>\n",
       "      <td>...</td>\n",
       "      <td>531291.0</td>\n",
       "      <td>323865.0</td>\n",
       "      <td>4237518.0</td>\n",
       "      <td>0.550</td>\n",
       "      <td>0.700</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0.742</td>\n",
       "      <td>2.941176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2010</td>\n",
       "      <td>MA</td>\n",
       "      <td>70.40</td>\n",
       "      <td>2.56</td>\n",
       "      <td>28.03</td>\n",
       "      <td>30.61</td>\n",
       "      <td>58.65</td>\n",
       "      <td>93.45</td>\n",
       "      <td>82.45</td>\n",
       "      <td>6.02</td>\n",
       "      <td>...</td>\n",
       "      <td>725332.0</td>\n",
       "      <td>414954.0</td>\n",
       "      <td>4124450.0</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.632</td>\n",
       "      <td>0.639</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.612</td>\n",
       "      <td>3.227778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2010</td>\n",
       "      <td>MG</td>\n",
       "      <td>75.30</td>\n",
       "      <td>1.79</td>\n",
       "      <td>15.08</td>\n",
       "      <td>17.30</td>\n",
       "      <td>44.01</td>\n",
       "      <td>93.77</td>\n",
       "      <td>82.95</td>\n",
       "      <td>8.12</td>\n",
       "      <td>...</td>\n",
       "      <td>1687608.0</td>\n",
       "      <td>1043929.0</td>\n",
       "      <td>14159445.0</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.710</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.638</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.730</td>\n",
       "      <td>1.658824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2010</td>\n",
       "      <td>MS</td>\n",
       "      <td>74.96</td>\n",
       "      <td>2.04</td>\n",
       "      <td>18.14</td>\n",
       "      <td>21.47</td>\n",
       "      <td>46.22</td>\n",
       "      <td>93.21</td>\n",
       "      <td>83.02</td>\n",
       "      <td>6.62</td>\n",
       "      <td>...</td>\n",
       "      <td>222088.0</td>\n",
       "      <td>139678.0</td>\n",
       "      <td>1697957.0</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.740</td>\n",
       "      <td>2.476471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2010</td>\n",
       "      <td>MT</td>\n",
       "      <td>74.25</td>\n",
       "      <td>2.08</td>\n",
       "      <td>16.80</td>\n",
       "      <td>20.28</td>\n",
       "      <td>44.56</td>\n",
       "      <td>92.82</td>\n",
       "      <td>82.21</td>\n",
       "      <td>5.12</td>\n",
       "      <td>...</td>\n",
       "      <td>281507.0</td>\n",
       "      <td>173724.0</td>\n",
       "      <td>2082429.0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.725</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.821</td>\n",
       "      <td>0.732</td>\n",
       "      <td>1.233333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2010</td>\n",
       "      <td>PA</td>\n",
       "      <td>72.36</td>\n",
       "      <td>2.50</td>\n",
       "      <td>20.29</td>\n",
       "      <td>21.87</td>\n",
       "      <td>55.83</td>\n",
       "      <td>95.26</td>\n",
       "      <td>85.74</td>\n",
       "      <td>4.75</td>\n",
       "      <td>...</td>\n",
       "      <td>836356.0</td>\n",
       "      <td>486649.0</td>\n",
       "      <td>4739298.0</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.528</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.646</td>\n",
       "      <td>5.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2010</td>\n",
       "      <td>PB</td>\n",
       "      <td>72.00</td>\n",
       "      <td>1.95</td>\n",
       "      <td>21.67</td>\n",
       "      <td>23.42</td>\n",
       "      <td>51.14</td>\n",
       "      <td>94.94</td>\n",
       "      <td>85.12</td>\n",
       "      <td>8.53</td>\n",
       "      <td>...</td>\n",
       "      <td>348584.0</td>\n",
       "      <td>215244.0</td>\n",
       "      <td>2597404.0</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.634</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.656</td>\n",
       "      <td>6.846667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2010</td>\n",
       "      <td>PE</td>\n",
       "      <td>72.32</td>\n",
       "      <td>1.92</td>\n",
       "      <td>20.43</td>\n",
       "      <td>22.03</td>\n",
       "      <td>49.34</td>\n",
       "      <td>95.23</td>\n",
       "      <td>85.68</td>\n",
       "      <td>7.37</td>\n",
       "      <td>...</td>\n",
       "      <td>835099.0</td>\n",
       "      <td>494130.0</td>\n",
       "      <td>6044442.0</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.673</td>\n",
       "      <td>3.847059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2010</td>\n",
       "      <td>PI</td>\n",
       "      <td>71.62</td>\n",
       "      <td>1.99</td>\n",
       "      <td>23.05</td>\n",
       "      <td>24.98</td>\n",
       "      <td>51.70</td>\n",
       "      <td>94.61</td>\n",
       "      <td>84.51</td>\n",
       "      <td>7.44</td>\n",
       "      <td>...</td>\n",
       "      <td>309431.0</td>\n",
       "      <td>184255.0</td>\n",
       "      <td>2104268.0</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.646</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.635</td>\n",
       "      <td>3.294118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2010</td>\n",
       "      <td>PR</td>\n",
       "      <td>74.80</td>\n",
       "      <td>1.86</td>\n",
       "      <td>13.08</td>\n",
       "      <td>15.07</td>\n",
       "      <td>43.78</td>\n",
       "      <td>93.64</td>\n",
       "      <td>83.48</td>\n",
       "      <td>7.53</td>\n",
       "      <td>...</td>\n",
       "      <td>909399.0</td>\n",
       "      <td>566147.0</td>\n",
       "      <td>7487040.0</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.733</td>\n",
       "      <td>0.749</td>\n",
       "      <td>0.668</td>\n",
       "      <td>0.830</td>\n",
       "      <td>0.757</td>\n",
       "      <td>1.441176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2010</td>\n",
       "      <td>RJ</td>\n",
       "      <td>75.10</td>\n",
       "      <td>1.68</td>\n",
       "      <td>14.15</td>\n",
       "      <td>16.33</td>\n",
       "      <td>43.07</td>\n",
       "      <td>92.57</td>\n",
       "      <td>82.28</td>\n",
       "      <td>8.91</td>\n",
       "      <td>...</td>\n",
       "      <td>1305109.0</td>\n",
       "      <td>771099.0</td>\n",
       "      <td>11831965.0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.782</td>\n",
       "      <td>2.370588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2010</td>\n",
       "      <td>RN</td>\n",
       "      <td>72.52</td>\n",
       "      <td>1.98</td>\n",
       "      <td>19.70</td>\n",
       "      <td>21.21</td>\n",
       "      <td>48.03</td>\n",
       "      <td>95.40</td>\n",
       "      <td>86.02</td>\n",
       "      <td>7.54</td>\n",
       "      <td>...</td>\n",
       "      <td>293629.0</td>\n",
       "      <td>184517.0</td>\n",
       "      <td>2198161.0</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.661</td>\n",
       "      <td>0.684</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.678</td>\n",
       "      <td>4.582353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2010</td>\n",
       "      <td>RO</td>\n",
       "      <td>72.97</td>\n",
       "      <td>2.16</td>\n",
       "      <td>18.02</td>\n",
       "      <td>19.34</td>\n",
       "      <td>46.74</td>\n",
       "      <td>95.80</td>\n",
       "      <td>86.77</td>\n",
       "      <td>4.69</td>\n",
       "      <td>...</td>\n",
       "      <td>156276.0</td>\n",
       "      <td>95920.0</td>\n",
       "      <td>1042760.0</td>\n",
       "      <td>0.480</td>\n",
       "      <td>0.633</td>\n",
       "      <td>0.690</td>\n",
       "      <td>0.577</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.712</td>\n",
       "      <td>2.993333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2010</td>\n",
       "      <td>RR</td>\n",
       "      <td>73.51</td>\n",
       "      <td>2.41</td>\n",
       "      <td>16.11</td>\n",
       "      <td>17.23</td>\n",
       "      <td>57.50</td>\n",
       "      <td>96.24</td>\n",
       "      <td>87.67</td>\n",
       "      <td>3.45</td>\n",
       "      <td>...</td>\n",
       "      <td>52332.0</td>\n",
       "      <td>29123.0</td>\n",
       "      <td>272223.0</td>\n",
       "      <td>0.587</td>\n",
       "      <td>0.650</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.695</td>\n",
       "      <td>2.262500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2010</td>\n",
       "      <td>RS</td>\n",
       "      <td>75.38</td>\n",
       "      <td>1.76</td>\n",
       "      <td>12.38</td>\n",
       "      <td>14.29</td>\n",
       "      <td>43.18</td>\n",
       "      <td>94.43</td>\n",
       "      <td>84.16</td>\n",
       "      <td>9.26</td>\n",
       "      <td>...</td>\n",
       "      <td>861658.0</td>\n",
       "      <td>531136.0</td>\n",
       "      <td>7934902.0</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.642</td>\n",
       "      <td>0.840</td>\n",
       "      <td>0.769</td>\n",
       "      <td>1.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2010</td>\n",
       "      <td>SC</td>\n",
       "      <td>76.61</td>\n",
       "      <td>1.71</td>\n",
       "      <td>11.54</td>\n",
       "      <td>13.38</td>\n",
       "      <td>40.34</td>\n",
       "      <td>94.98</td>\n",
       "      <td>85.72</td>\n",
       "      <td>6.89</td>\n",
       "      <td>...</td>\n",
       "      <td>519558.0</td>\n",
       "      <td>326770.0</td>\n",
       "      <td>4558556.0</td>\n",
       "      <td>0.589</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2010</td>\n",
       "      <td>SE</td>\n",
       "      <td>71.84</td>\n",
       "      <td>1.95</td>\n",
       "      <td>22.22</td>\n",
       "      <td>24.04</td>\n",
       "      <td>49.34</td>\n",
       "      <td>94.81</td>\n",
       "      <td>84.88</td>\n",
       "      <td>6.14</td>\n",
       "      <td>...</td>\n",
       "      <td>208209.0</td>\n",
       "      <td>125881.0</td>\n",
       "      <td>1385926.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.612</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.672</td>\n",
       "      <td>3.964706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2010</td>\n",
       "      <td>SP</td>\n",
       "      <td>75.69</td>\n",
       "      <td>1.66</td>\n",
       "      <td>13.86</td>\n",
       "      <td>15.85</td>\n",
       "      <td>41.53</td>\n",
       "      <td>94.80</td>\n",
       "      <td>84.30</td>\n",
       "      <td>7.82</td>\n",
       "      <td>...</td>\n",
       "      <td>3325558.0</td>\n",
       "      <td>1989525.0</td>\n",
       "      <td>30408172.0</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.768</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.719</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.652941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2010</td>\n",
       "      <td>TO</td>\n",
       "      <td>72.56</td>\n",
       "      <td>2.41</td>\n",
       "      <td>19.56</td>\n",
       "      <td>21.05</td>\n",
       "      <td>52.90</td>\n",
       "      <td>95.43</td>\n",
       "      <td>86.08</td>\n",
       "      <td>5.82</td>\n",
       "      <td>...</td>\n",
       "      <td>144244.0</td>\n",
       "      <td>85736.0</td>\n",
       "      <td>899735.0</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.680</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.690</td>\n",
       "      <td>2.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 231 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ano sigla_uf  expectativa_vida  fecundidade_total  mortalidade_1  \\\n",
       "0   2010       AC             71.63               2.95          23.01   \n",
       "1   2010       AL             70.32               2.22          28.40   \n",
       "2   2010       AM             73.30               2.59          17.01   \n",
       "3   2010       AP             73.80               2.48          15.14   \n",
       "4   2010       BA             71.97               2.05          21.73   \n",
       "5   2010       CE             72.60               1.99          19.29   \n",
       "6   2010       DF             77.35               1.75          14.01   \n",
       "7   2010       ES             75.10               1.80          14.15   \n",
       "8   2010       GO             74.60               1.87          13.96   \n",
       "9   2010       MA             70.40               2.56          28.03   \n",
       "10  2010       MG             75.30               1.79          15.08   \n",
       "11  2010       MS             74.96               2.04          18.14   \n",
       "12  2010       MT             74.25               2.08          16.80   \n",
       "13  2010       PA             72.36               2.50          20.29   \n",
       "14  2010       PB             72.00               1.95          21.67   \n",
       "15  2010       PE             72.32               1.92          20.43   \n",
       "16  2010       PI             71.62               1.99          23.05   \n",
       "17  2010       PR             74.80               1.86          13.08   \n",
       "18  2010       RJ             75.10               1.68          14.15   \n",
       "19  2010       RN             72.52               1.98          19.70   \n",
       "20  2010       RO             72.97               2.16          18.02   \n",
       "21  2010       RR             73.51               2.41          16.11   \n",
       "22  2010       RS             75.38               1.76          12.38   \n",
       "23  2010       SC             76.61               1.71          11.54   \n",
       "24  2010       SE             71.84               1.95          22.22   \n",
       "25  2010       SP             75.69               1.66          13.86   \n",
       "26  2010       TO             72.56               2.41          19.56   \n",
       "\n",
       "    mortalidade_5  razao_dependencia  prob_sobrevivencia_40  \\\n",
       "0           24.93              61.34                  94.62   \n",
       "1           31.03              54.30                  93.36   \n",
       "2           18.22              59.33                  96.03   \n",
       "3           16.16              57.67                  96.47   \n",
       "4           23.49              48.92                  94.92   \n",
       "5           20.76              50.32                  95.50   \n",
       "6           15.85              40.14                  94.57   \n",
       "7           16.33              43.26                  92.57   \n",
       "8           16.28              43.41                  93.33   \n",
       "9           30.61              58.65                  93.45   \n",
       "10          17.30              44.01                  93.77   \n",
       "11          21.47              46.22                  93.21   \n",
       "12          20.28              44.56                  92.82   \n",
       "13          21.87              55.83                  95.26   \n",
       "14          23.42              51.14                  94.94   \n",
       "15          22.03              49.34                  95.23   \n",
       "16          24.98              51.70                  94.61   \n",
       "17          15.07              43.78                  93.64   \n",
       "18          16.33              43.07                  92.57   \n",
       "19          21.21              48.03                  95.40   \n",
       "20          19.34              46.74                  95.80   \n",
       "21          17.23              57.50                  96.24   \n",
       "22          14.29              43.18                  94.43   \n",
       "23          13.38              40.34                  94.98   \n",
       "24          24.04              49.34                  94.81   \n",
       "25          15.85              41.53                  94.80   \n",
       "26          21.05              52.90                  95.43   \n",
       "\n",
       "    prob_sobrevivencia_60  taxa_envelhecimento  ...  pia_10_14  pia_15_17  \\\n",
       "0                   84.53                 4.32  ...    87707.0    48412.0   \n",
       "1                   82.31                 6.01  ...   337867.0   194319.0   \n",
       "2                   87.24                 4.03  ...   400697.0   227553.0   \n",
       "3                   88.14                 3.44  ...    79104.0    45288.0   \n",
       "4                   85.09                 7.23  ...  1339561.0   818228.0   \n",
       "5                   86.20                 7.54  ...   847464.0   524991.0   \n",
       "6                   86.19                 4.97  ...   219091.0   130872.0   \n",
       "7                   82.28                 7.08  ...   302376.0   181921.0   \n",
       "8                   82.69                 6.25  ...   531291.0   323865.0   \n",
       "9                   82.45                 6.02  ...   725332.0   414954.0   \n",
       "10                  82.95                 8.12  ...  1687608.0  1043929.0   \n",
       "11                  83.02                 6.62  ...   222088.0   139678.0   \n",
       "12                  82.21                 5.12  ...   281507.0   173724.0   \n",
       "13                  85.74                 4.75  ...   836356.0   486649.0   \n",
       "14                  85.12                 8.53  ...   348584.0   215244.0   \n",
       "15                  85.68                 7.37  ...   835099.0   494130.0   \n",
       "16                  84.51                 7.44  ...   309431.0   184255.0   \n",
       "17                  83.48                 7.53  ...   909399.0   566147.0   \n",
       "18                  82.28                 8.91  ...  1305109.0   771099.0   \n",
       "19                  86.02                 7.54  ...   293629.0   184517.0   \n",
       "20                  86.77                 4.69  ...   156276.0    95920.0   \n",
       "21                  87.67                 3.45  ...    52332.0    29123.0   \n",
       "22                  84.16                 9.26  ...   861658.0   531136.0   \n",
       "23                  85.72                 6.89  ...   519558.0   326770.0   \n",
       "24                  84.88                 6.14  ...   208209.0   125881.0   \n",
       "25                  84.30                 7.82  ...  3325558.0  1989525.0   \n",
       "26                  86.08                 5.82  ...   144244.0    85736.0   \n",
       "\n",
       "    pia_18_mais  indice_escolaridade  indice_frequencia_escolar   idhm  \\\n",
       "0      437790.0                0.488                      0.599  0.663   \n",
       "1     2015524.0                0.406                      0.589  0.631   \n",
       "2     2100087.0                0.549                      0.567  0.674   \n",
       "3      402583.0                0.618                      0.634  0.708   \n",
       "4     9606320.0                0.461                      0.609  0.660   \n",
       "5     5738848.0                0.488                      0.691  0.682   \n",
       "6     1830940.0                0.723                      0.751  0.824   \n",
       "7     2521554.0                0.552                      0.711  0.740   \n",
       "8     4237518.0                0.550                      0.700  0.735   \n",
       "9     4124450.0                0.444                      0.632  0.639   \n",
       "10   14159445.0                0.514                      0.710  0.731   \n",
       "11    1697957.0                0.536                      0.682  0.729   \n",
       "12    2082429.0                0.532                      0.693  0.725   \n",
       "13    4739298.0                0.474                      0.557  0.646   \n",
       "14    2597404.0                0.426                      0.634  0.658   \n",
       "15    6044442.0                0.470                      0.635  0.673   \n",
       "16    2104268.0                0.418                      0.625  0.646   \n",
       "17    7487040.0                0.555                      0.733  0.749   \n",
       "18   11831965.0                0.647                      0.689  0.761   \n",
       "19    2198161.0                0.486                      0.661  0.684   \n",
       "20    1042760.0                0.480                      0.633  0.690   \n",
       "21     272223.0                0.587                      0.650  0.707   \n",
       "22    7934902.0                0.563                      0.686  0.746   \n",
       "23    4558556.0                0.589                      0.759  0.774   \n",
       "24    1385926.0                0.469                      0.612  0.665   \n",
       "25   30408172.0                0.629                      0.768  0.783   \n",
       "26     899735.0                0.526                      0.680  0.699   \n",
       "\n",
       "    idhm_e  idhm_l  idhm_r  taxa_abandono_ef  \n",
       "0    0.559   0.777   0.671          3.843750  \n",
       "1    0.520   0.755   0.641          7.586667  \n",
       "2    0.561   0.805   0.677          5.205882  \n",
       "3    0.629   0.813   0.694          2.926667  \n",
       "4    0.555   0.783   0.663          5.329412  \n",
       "5    0.615   0.793   0.651          2.664706  \n",
       "6    0.742   0.873   0.863          0.864286  \n",
       "7    0.653   0.835   0.743          1.686667  \n",
       "8    0.646   0.827   0.742          2.941176  \n",
       "9    0.562   0.757   0.612          3.227778  \n",
       "10   0.638   0.838   0.730          1.658824  \n",
       "11   0.629   0.833   0.740          2.476471  \n",
       "12   0.635   0.821   0.732          1.233333  \n",
       "13   0.528   0.789   0.646          5.200000  \n",
       "14   0.555   0.783   0.656          6.846667  \n",
       "15   0.574   0.789   0.673          3.847059  \n",
       "16   0.547   0.777   0.635          3.294118  \n",
       "17   0.668   0.830   0.757          1.441176  \n",
       "18   0.675   0.835   0.782          2.370588  \n",
       "19   0.597   0.792   0.678          4.582353  \n",
       "20   0.577   0.800   0.712          2.993333  \n",
       "21   0.628   0.809   0.695          2.262500  \n",
       "22   0.642   0.840   0.769          1.200000  \n",
       "23   0.697   0.860   0.773          0.600000  \n",
       "24   0.560   0.781   0.672          3.964706  \n",
       "25   0.719   0.845   0.789          0.652941  \n",
       "26   0.624   0.793   0.690          2.200000  \n",
       "\n",
       "[27 rows x 231 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Junção das tabelas para análise\n",
    "tabela_comparacao_ef = pd.merge(onu2010, inep_2010_evasaoefdf, on='sigla_uf', how='inner')\n",
    "tabela_comparacao_ef"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_ef['idhm'], tabela_comparacao_ef['taxa_abandono_ef'])\n",
    "plt.title('Relação entre IDH e Taxa de Evasão do Ensino Fundamental por UF no ano de 2010')\n",
    "plt.xlabel('IDH')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Fundamental')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_ef['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_ef['idhm'][i], tabela_comparacao_ef['taxa_abandono_ef'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verificação da tabela\n",
    "ips['acesso_educacao_superior'].isnull().sum()\n",
    "ips['moradia'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano</th>\n",
       "      <th>regiao_administrativa</th>\n",
       "      <th>ips_geral</th>\n",
       "      <th>necessidades_humanas_basicas_nota_dimensao</th>\n",
       "      <th>nutricao_cuidados_medicos_basicos</th>\n",
       "      <th>agua_saneamento</th>\n",
       "      <th>moradia</th>\n",
       "      <th>seguranca_pessoal</th>\n",
       "      <th>fundamentos_bem_estar_nota_dimensao</th>\n",
       "      <th>acesso_conhecimento_basico</th>\n",
       "      <th>acesso_informacao</th>\n",
       "      <th>saude_bem_estar</th>\n",
       "      <th>qualidade_meio_ambiente</th>\n",
       "      <th>oportunidades_nota_dimensao</th>\n",
       "      <th>direitos_individuais</th>\n",
       "      <th>liberdades_individuais</th>\n",
       "      <th>tolerancia_inclusao</th>\n",
       "      <th>acesso_educacao_superior</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>Rio De Janeiro</td>\n",
       "      <td>60.79</td>\n",
       "      <td>74.13</td>\n",
       "      <td>66.12</td>\n",
       "      <td>83.68</td>\n",
       "      <td>79.57</td>\n",
       "      <td>67.14</td>\n",
       "      <td>51.63</td>\n",
       "      <td>66.19</td>\n",
       "      <td>50.89</td>\n",
       "      <td>53.08</td>\n",
       "      <td>36.37</td>\n",
       "      <td>56.62</td>\n",
       "      <td>54.33</td>\n",
       "      <td>62.72</td>\n",
       "      <td>77.05</td>\n",
       "      <td>32.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>Portuaria</td>\n",
       "      <td>42.06</td>\n",
       "      <td>59.67</td>\n",
       "      <td>64.32</td>\n",
       "      <td>80.80</td>\n",
       "      <td>71.06</td>\n",
       "      <td>22.49</td>\n",
       "      <td>36.00</td>\n",
       "      <td>59.51</td>\n",
       "      <td>20.73</td>\n",
       "      <td>19.20</td>\n",
       "      <td>44.55</td>\n",
       "      <td>30.52</td>\n",
       "      <td>25.66</td>\n",
       "      <td>50.76</td>\n",
       "      <td>40.23</td>\n",
       "      <td>5.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>Centro</td>\n",
       "      <td>55.59</td>\n",
       "      <td>59.23</td>\n",
       "      <td>56.64</td>\n",
       "      <td>74.18</td>\n",
       "      <td>91.60</td>\n",
       "      <td>14.52</td>\n",
       "      <td>50.26</td>\n",
       "      <td>61.97</td>\n",
       "      <td>56.00</td>\n",
       "      <td>37.26</td>\n",
       "      <td>45.82</td>\n",
       "      <td>57.26</td>\n",
       "      <td>41.68</td>\n",
       "      <td>87.28</td>\n",
       "      <td>51.84</td>\n",
       "      <td>48.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>Rio Comprido</td>\n",
       "      <td>55.50</td>\n",
       "      <td>68.27</td>\n",
       "      <td>72.61</td>\n",
       "      <td>84.36</td>\n",
       "      <td>73.29</td>\n",
       "      <td>42.82</td>\n",
       "      <td>50.81</td>\n",
       "      <td>68.72</td>\n",
       "      <td>42.08</td>\n",
       "      <td>39.33</td>\n",
       "      <td>53.10</td>\n",
       "      <td>47.42</td>\n",
       "      <td>37.76</td>\n",
       "      <td>60.82</td>\n",
       "      <td>68.64</td>\n",
       "      <td>22.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>Botafogo</td>\n",
       "      <td>85.03</td>\n",
       "      <td>91.66</td>\n",
       "      <td>89.92</td>\n",
       "      <td>98.49</td>\n",
       "      <td>99.07</td>\n",
       "      <td>79.18</td>\n",
       "      <td>77.09</td>\n",
       "      <td>80.70</td>\n",
       "      <td>86.52</td>\n",
       "      <td>78.58</td>\n",
       "      <td>62.56</td>\n",
       "      <td>86.32</td>\n",
       "      <td>56.63</td>\n",
       "      <td>89.80</td>\n",
       "      <td>99.48</td>\n",
       "      <td>99.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020</td>\n",
       "      <td>Copacabana</td>\n",
       "      <td>80.23</td>\n",
       "      <td>92.03</td>\n",
       "      <td>92.01</td>\n",
       "      <td>99.32</td>\n",
       "      <td>96.84</td>\n",
       "      <td>79.97</td>\n",
       "      <td>68.93</td>\n",
       "      <td>77.01</td>\n",
       "      <td>81.95</td>\n",
       "      <td>72.40</td>\n",
       "      <td>44.36</td>\n",
       "      <td>79.73</td>\n",
       "      <td>56.72</td>\n",
       "      <td>80.14</td>\n",
       "      <td>98.53</td>\n",
       "      <td>83.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020</td>\n",
       "      <td>Lagoa</td>\n",
       "      <td>79.02</td>\n",
       "      <td>85.05</td>\n",
       "      <td>67.40</td>\n",
       "      <td>98.86</td>\n",
       "      <td>96.28</td>\n",
       "      <td>77.66</td>\n",
       "      <td>70.24</td>\n",
       "      <td>69.58</td>\n",
       "      <td>89.06</td>\n",
       "      <td>75.07</td>\n",
       "      <td>47.23</td>\n",
       "      <td>81.76</td>\n",
       "      <td>50.12</td>\n",
       "      <td>96.77</td>\n",
       "      <td>98.57</td>\n",
       "      <td>81.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020</td>\n",
       "      <td>São Cristovão</td>\n",
       "      <td>51.86</td>\n",
       "      <td>69.14</td>\n",
       "      <td>65.35</td>\n",
       "      <td>86.36</td>\n",
       "      <td>74.47</td>\n",
       "      <td>50.36</td>\n",
       "      <td>40.80</td>\n",
       "      <td>66.57</td>\n",
       "      <td>34.65</td>\n",
       "      <td>31.01</td>\n",
       "      <td>30.98</td>\n",
       "      <td>45.63</td>\n",
       "      <td>50.37</td>\n",
       "      <td>52.92</td>\n",
       "      <td>62.40</td>\n",
       "      <td>16.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020</td>\n",
       "      <td>Tijuca</td>\n",
       "      <td>71.61</td>\n",
       "      <td>85.47</td>\n",
       "      <td>85.23</td>\n",
       "      <td>84.62</td>\n",
       "      <td>95.54</td>\n",
       "      <td>76.49</td>\n",
       "      <td>51.37</td>\n",
       "      <td>58.84</td>\n",
       "      <td>80.32</td>\n",
       "      <td>18.84</td>\n",
       "      <td>47.48</td>\n",
       "      <td>78.00</td>\n",
       "      <td>51.76</td>\n",
       "      <td>85.53</td>\n",
       "      <td>95.88</td>\n",
       "      <td>78.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020</td>\n",
       "      <td>Vila Isabel</td>\n",
       "      <td>73.05</td>\n",
       "      <td>82.68</td>\n",
       "      <td>68.21</td>\n",
       "      <td>94.21</td>\n",
       "      <td>87.11</td>\n",
       "      <td>81.17</td>\n",
       "      <td>64.52</td>\n",
       "      <td>62.50</td>\n",
       "      <td>74.99</td>\n",
       "      <td>65.02</td>\n",
       "      <td>55.58</td>\n",
       "      <td>71.95</td>\n",
       "      <td>57.34</td>\n",
       "      <td>65.11</td>\n",
       "      <td>92.14</td>\n",
       "      <td>73.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020</td>\n",
       "      <td>Ramos</td>\n",
       "      <td>57.04</td>\n",
       "      <td>72.69</td>\n",
       "      <td>64.90</td>\n",
       "      <td>94.92</td>\n",
       "      <td>70.96</td>\n",
       "      <td>59.99</td>\n",
       "      <td>45.63</td>\n",
       "      <td>51.91</td>\n",
       "      <td>52.42</td>\n",
       "      <td>40.99</td>\n",
       "      <td>37.20</td>\n",
       "      <td>52.79</td>\n",
       "      <td>57.34</td>\n",
       "      <td>52.68</td>\n",
       "      <td>76.76</td>\n",
       "      <td>24.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020</td>\n",
       "      <td>Penha</td>\n",
       "      <td>56.96</td>\n",
       "      <td>74.39</td>\n",
       "      <td>43.14</td>\n",
       "      <td>97.56</td>\n",
       "      <td>85.59</td>\n",
       "      <td>71.27</td>\n",
       "      <td>45.01</td>\n",
       "      <td>56.40</td>\n",
       "      <td>43.90</td>\n",
       "      <td>49.68</td>\n",
       "      <td>30.08</td>\n",
       "      <td>51.49</td>\n",
       "      <td>51.27</td>\n",
       "      <td>51.93</td>\n",
       "      <td>79.57</td>\n",
       "      <td>23.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020</td>\n",
       "      <td>Inhaúma</td>\n",
       "      <td>56.92</td>\n",
       "      <td>74.43</td>\n",
       "      <td>64.39</td>\n",
       "      <td>92.05</td>\n",
       "      <td>83.13</td>\n",
       "      <td>58.16</td>\n",
       "      <td>38.92</td>\n",
       "      <td>42.06</td>\n",
       "      <td>45.07</td>\n",
       "      <td>38.13</td>\n",
       "      <td>30.40</td>\n",
       "      <td>57.41</td>\n",
       "      <td>59.00</td>\n",
       "      <td>63.36</td>\n",
       "      <td>76.47</td>\n",
       "      <td>30.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020</td>\n",
       "      <td>Méier</td>\n",
       "      <td>64.61</td>\n",
       "      <td>77.15</td>\n",
       "      <td>64.71</td>\n",
       "      <td>91.26</td>\n",
       "      <td>88.36</td>\n",
       "      <td>64.28</td>\n",
       "      <td>55.32</td>\n",
       "      <td>58.57</td>\n",
       "      <td>64.58</td>\n",
       "      <td>51.50</td>\n",
       "      <td>46.61</td>\n",
       "      <td>61.37</td>\n",
       "      <td>47.76</td>\n",
       "      <td>65.29</td>\n",
       "      <td>84.63</td>\n",
       "      <td>47.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020</td>\n",
       "      <td>Iraja</td>\n",
       "      <td>64.57</td>\n",
       "      <td>79.80</td>\n",
       "      <td>66.97</td>\n",
       "      <td>97.73</td>\n",
       "      <td>90.95</td>\n",
       "      <td>63.56</td>\n",
       "      <td>50.33</td>\n",
       "      <td>62.03</td>\n",
       "      <td>54.65</td>\n",
       "      <td>53.61</td>\n",
       "      <td>31.04</td>\n",
       "      <td>63.58</td>\n",
       "      <td>57.00</td>\n",
       "      <td>75.16</td>\n",
       "      <td>84.04</td>\n",
       "      <td>38.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020</td>\n",
       "      <td>Madureira</td>\n",
       "      <td>55.61</td>\n",
       "      <td>68.86</td>\n",
       "      <td>53.76</td>\n",
       "      <td>89.36</td>\n",
       "      <td>82.89</td>\n",
       "      <td>49.43</td>\n",
       "      <td>45.89</td>\n",
       "      <td>46.84</td>\n",
       "      <td>45.83</td>\n",
       "      <td>47.33</td>\n",
       "      <td>43.56</td>\n",
       "      <td>52.08</td>\n",
       "      <td>50.03</td>\n",
       "      <td>58.83</td>\n",
       "      <td>74.38</td>\n",
       "      <td>25.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020</td>\n",
       "      <td>Jacarepaguá</td>\n",
       "      <td>61.94</td>\n",
       "      <td>74.38</td>\n",
       "      <td>73.37</td>\n",
       "      <td>68.78</td>\n",
       "      <td>73.59</td>\n",
       "      <td>81.76</td>\n",
       "      <td>52.36</td>\n",
       "      <td>59.65</td>\n",
       "      <td>54.36</td>\n",
       "      <td>55.89</td>\n",
       "      <td>39.56</td>\n",
       "      <td>59.07</td>\n",
       "      <td>57.85</td>\n",
       "      <td>64.54</td>\n",
       "      <td>79.79</td>\n",
       "      <td>34.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020</td>\n",
       "      <td>Bangu</td>\n",
       "      <td>51.84</td>\n",
       "      <td>70.87</td>\n",
       "      <td>66.52</td>\n",
       "      <td>89.96</td>\n",
       "      <td>74.32</td>\n",
       "      <td>52.69</td>\n",
       "      <td>37.74</td>\n",
       "      <td>54.89</td>\n",
       "      <td>33.54</td>\n",
       "      <td>29.48</td>\n",
       "      <td>33.04</td>\n",
       "      <td>46.90</td>\n",
       "      <td>51.39</td>\n",
       "      <td>51.57</td>\n",
       "      <td>70.19</td>\n",
       "      <td>14.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020</td>\n",
       "      <td>Campo Grande</td>\n",
       "      <td>58.68</td>\n",
       "      <td>77.91</td>\n",
       "      <td>70.78</td>\n",
       "      <td>78.76</td>\n",
       "      <td>76.78</td>\n",
       "      <td>85.31</td>\n",
       "      <td>42.89</td>\n",
       "      <td>61.34</td>\n",
       "      <td>40.10</td>\n",
       "      <td>37.71</td>\n",
       "      <td>32.40</td>\n",
       "      <td>55.24</td>\n",
       "      <td>61.65</td>\n",
       "      <td>60.83</td>\n",
       "      <td>79.22</td>\n",
       "      <td>19.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020</td>\n",
       "      <td>Santa Cruz</td>\n",
       "      <td>50.82</td>\n",
       "      <td>71.47</td>\n",
       "      <td>57.91</td>\n",
       "      <td>71.21</td>\n",
       "      <td>65.96</td>\n",
       "      <td>90.79</td>\n",
       "      <td>31.87</td>\n",
       "      <td>54.53</td>\n",
       "      <td>18.98</td>\n",
       "      <td>38.62</td>\n",
       "      <td>15.34</td>\n",
       "      <td>49.11</td>\n",
       "      <td>77.58</td>\n",
       "      <td>41.51</td>\n",
       "      <td>71.03</td>\n",
       "      <td>6.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020</td>\n",
       "      <td>Ilha Do Governador</td>\n",
       "      <td>62.97</td>\n",
       "      <td>78.37</td>\n",
       "      <td>67.06</td>\n",
       "      <td>89.27</td>\n",
       "      <td>87.80</td>\n",
       "      <td>69.35</td>\n",
       "      <td>50.89</td>\n",
       "      <td>64.99</td>\n",
       "      <td>57.87</td>\n",
       "      <td>60.86</td>\n",
       "      <td>19.82</td>\n",
       "      <td>59.64</td>\n",
       "      <td>49.11</td>\n",
       "      <td>62.51</td>\n",
       "      <td>83.26</td>\n",
       "      <td>43.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020</td>\n",
       "      <td>Anchieta</td>\n",
       "      <td>55.72</td>\n",
       "      <td>72.83</td>\n",
       "      <td>74.81</td>\n",
       "      <td>86.42</td>\n",
       "      <td>76.82</td>\n",
       "      <td>53.29</td>\n",
       "      <td>42.92</td>\n",
       "      <td>45.22</td>\n",
       "      <td>36.94</td>\n",
       "      <td>51.63</td>\n",
       "      <td>37.90</td>\n",
       "      <td>51.39</td>\n",
       "      <td>56.59</td>\n",
       "      <td>63.67</td>\n",
       "      <td>68.30</td>\n",
       "      <td>17.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020</td>\n",
       "      <td>Santa Teresa</td>\n",
       "      <td>63.26</td>\n",
       "      <td>77.57</td>\n",
       "      <td>81.49</td>\n",
       "      <td>84.64</td>\n",
       "      <td>81.14</td>\n",
       "      <td>63.03</td>\n",
       "      <td>64.04</td>\n",
       "      <td>82.54</td>\n",
       "      <td>59.89</td>\n",
       "      <td>63.44</td>\n",
       "      <td>50.28</td>\n",
       "      <td>48.16</td>\n",
       "      <td>18.80</td>\n",
       "      <td>69.64</td>\n",
       "      <td>69.94</td>\n",
       "      <td>34.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020</td>\n",
       "      <td>Barra Da Tijuca</td>\n",
       "      <td>69.70</td>\n",
       "      <td>70.61</td>\n",
       "      <td>78.49</td>\n",
       "      <td>50.75</td>\n",
       "      <td>84.87</td>\n",
       "      <td>68.34</td>\n",
       "      <td>67.87</td>\n",
       "      <td>73.69</td>\n",
       "      <td>78.51</td>\n",
       "      <td>73.12</td>\n",
       "      <td>46.15</td>\n",
       "      <td>70.62</td>\n",
       "      <td>52.94</td>\n",
       "      <td>78.85</td>\n",
       "      <td>82.94</td>\n",
       "      <td>67.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2020</td>\n",
       "      <td>Pavuna</td>\n",
       "      <td>42.97</td>\n",
       "      <td>60.94</td>\n",
       "      <td>51.21</td>\n",
       "      <td>87.31</td>\n",
       "      <td>64.53</td>\n",
       "      <td>40.71</td>\n",
       "      <td>27.58</td>\n",
       "      <td>33.39</td>\n",
       "      <td>26.54</td>\n",
       "      <td>49.49</td>\n",
       "      <td>0.89</td>\n",
       "      <td>40.38</td>\n",
       "      <td>45.28</td>\n",
       "      <td>49.89</td>\n",
       "      <td>55.39</td>\n",
       "      <td>10.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020</td>\n",
       "      <td>Guaratiba</td>\n",
       "      <td>43.54</td>\n",
       "      <td>54.92</td>\n",
       "      <td>64.71</td>\n",
       "      <td>17.54</td>\n",
       "      <td>59.45</td>\n",
       "      <td>77.99</td>\n",
       "      <td>31.07</td>\n",
       "      <td>53.26</td>\n",
       "      <td>22.15</td>\n",
       "      <td>14.52</td>\n",
       "      <td>34.36</td>\n",
       "      <td>44.61</td>\n",
       "      <td>77.06</td>\n",
       "      <td>50.47</td>\n",
       "      <td>45.24</td>\n",
       "      <td>5.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2020</td>\n",
       "      <td>Rocinha</td>\n",
       "      <td>52.27</td>\n",
       "      <td>68.69</td>\n",
       "      <td>68.66</td>\n",
       "      <td>78.11</td>\n",
       "      <td>37.80</td>\n",
       "      <td>90.18</td>\n",
       "      <td>43.53</td>\n",
       "      <td>50.63</td>\n",
       "      <td>24.13</td>\n",
       "      <td>61.61</td>\n",
       "      <td>37.74</td>\n",
       "      <td>44.60</td>\n",
       "      <td>60.89</td>\n",
       "      <td>51.67</td>\n",
       "      <td>64.04</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020</td>\n",
       "      <td>Jacarezinho</td>\n",
       "      <td>45.15</td>\n",
       "      <td>54.61</td>\n",
       "      <td>37.52</td>\n",
       "      <td>85.73</td>\n",
       "      <td>21.52</td>\n",
       "      <td>73.69</td>\n",
       "      <td>37.11</td>\n",
       "      <td>41.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>73.51</td>\n",
       "      <td>33.80</td>\n",
       "      <td>43.72</td>\n",
       "      <td>58.33</td>\n",
       "      <td>42.94</td>\n",
       "      <td>71.29</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020</td>\n",
       "      <td>Complexo Do Alemão</td>\n",
       "      <td>43.68</td>\n",
       "      <td>57.18</td>\n",
       "      <td>51.47</td>\n",
       "      <td>92.98</td>\n",
       "      <td>39.64</td>\n",
       "      <td>44.62</td>\n",
       "      <td>36.94</td>\n",
       "      <td>31.00</td>\n",
       "      <td>12.85</td>\n",
       "      <td>64.32</td>\n",
       "      <td>39.59</td>\n",
       "      <td>36.93</td>\n",
       "      <td>44.41</td>\n",
       "      <td>39.29</td>\n",
       "      <td>63.52</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020</td>\n",
       "      <td>Maré</td>\n",
       "      <td>47.20</td>\n",
       "      <td>66.22</td>\n",
       "      <td>54.12</td>\n",
       "      <td>82.18</td>\n",
       "      <td>69.04</td>\n",
       "      <td>59.56</td>\n",
       "      <td>34.85</td>\n",
       "      <td>33.74</td>\n",
       "      <td>15.34</td>\n",
       "      <td>75.46</td>\n",
       "      <td>14.86</td>\n",
       "      <td>40.52</td>\n",
       "      <td>46.13</td>\n",
       "      <td>52.13</td>\n",
       "      <td>61.57</td>\n",
       "      <td>2.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020</td>\n",
       "      <td>Vigário Geral</td>\n",
       "      <td>54.93</td>\n",
       "      <td>72.03</td>\n",
       "      <td>54.17</td>\n",
       "      <td>88.64</td>\n",
       "      <td>71.39</td>\n",
       "      <td>73.91</td>\n",
       "      <td>45.77</td>\n",
       "      <td>46.77</td>\n",
       "      <td>36.45</td>\n",
       "      <td>55.32</td>\n",
       "      <td>44.55</td>\n",
       "      <td>46.99</td>\n",
       "      <td>56.26</td>\n",
       "      <td>48.21</td>\n",
       "      <td>70.56</td>\n",
       "      <td>12.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020</td>\n",
       "      <td>Realengo</td>\n",
       "      <td>55.76</td>\n",
       "      <td>72.07</td>\n",
       "      <td>64.96</td>\n",
       "      <td>87.40</td>\n",
       "      <td>81.21</td>\n",
       "      <td>54.72</td>\n",
       "      <td>43.49</td>\n",
       "      <td>65.58</td>\n",
       "      <td>42.68</td>\n",
       "      <td>39.23</td>\n",
       "      <td>26.47</td>\n",
       "      <td>51.70</td>\n",
       "      <td>50.41</td>\n",
       "      <td>66.58</td>\n",
       "      <td>68.86</td>\n",
       "      <td>20.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020</td>\n",
       "      <td>Cidade De Deus</td>\n",
       "      <td>47.84</td>\n",
       "      <td>73.68</td>\n",
       "      <td>55.73</td>\n",
       "      <td>93.43</td>\n",
       "      <td>65.41</td>\n",
       "      <td>80.15</td>\n",
       "      <td>31.47</td>\n",
       "      <td>40.38</td>\n",
       "      <td>23.50</td>\n",
       "      <td>26.84</td>\n",
       "      <td>35.17</td>\n",
       "      <td>38.37</td>\n",
       "      <td>55.32</td>\n",
       "      <td>25.47</td>\n",
       "      <td>68.20</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ano regiao_administrativa  ips_geral  \\\n",
       "0   2020        Rio De Janeiro      60.79   \n",
       "1   2020             Portuaria      42.06   \n",
       "2   2020                Centro      55.59   \n",
       "3   2020          Rio Comprido      55.50   \n",
       "4   2020              Botafogo      85.03   \n",
       "5   2020            Copacabana      80.23   \n",
       "6   2020                 Lagoa      79.02   \n",
       "7   2020         São Cristovão      51.86   \n",
       "8   2020                Tijuca      71.61   \n",
       "9   2020           Vila Isabel      73.05   \n",
       "10  2020                 Ramos      57.04   \n",
       "11  2020                 Penha      56.96   \n",
       "12  2020               Inhaúma      56.92   \n",
       "13  2020                 Méier      64.61   \n",
       "14  2020                 Iraja      64.57   \n",
       "15  2020             Madureira      55.61   \n",
       "16  2020           Jacarepaguá      61.94   \n",
       "17  2020                 Bangu      51.84   \n",
       "18  2020          Campo Grande      58.68   \n",
       "19  2020            Santa Cruz      50.82   \n",
       "20  2020    Ilha Do Governador      62.97   \n",
       "21  2020              Anchieta      55.72   \n",
       "22  2020          Santa Teresa      63.26   \n",
       "23  2020       Barra Da Tijuca      69.70   \n",
       "24  2020                Pavuna      42.97   \n",
       "25  2020             Guaratiba      43.54   \n",
       "26  2020               Rocinha      52.27   \n",
       "27  2020           Jacarezinho      45.15   \n",
       "28  2020    Complexo Do Alemão      43.68   \n",
       "29  2020                  Maré      47.20   \n",
       "30  2020         Vigário Geral      54.93   \n",
       "31  2020              Realengo      55.76   \n",
       "32  2020        Cidade De Deus      47.84   \n",
       "\n",
       "    necessidades_humanas_basicas_nota_dimensao  \\\n",
       "0                                        74.13   \n",
       "1                                        59.67   \n",
       "2                                        59.23   \n",
       "3                                        68.27   \n",
       "4                                        91.66   \n",
       "5                                        92.03   \n",
       "6                                        85.05   \n",
       "7                                        69.14   \n",
       "8                                        85.47   \n",
       "9                                        82.68   \n",
       "10                                       72.69   \n",
       "11                                       74.39   \n",
       "12                                       74.43   \n",
       "13                                       77.15   \n",
       "14                                       79.80   \n",
       "15                                       68.86   \n",
       "16                                       74.38   \n",
       "17                                       70.87   \n",
       "18                                       77.91   \n",
       "19                                       71.47   \n",
       "20                                       78.37   \n",
       "21                                       72.83   \n",
       "22                                       77.57   \n",
       "23                                       70.61   \n",
       "24                                       60.94   \n",
       "25                                       54.92   \n",
       "26                                       68.69   \n",
       "27                                       54.61   \n",
       "28                                       57.18   \n",
       "29                                       66.22   \n",
       "30                                       72.03   \n",
       "31                                       72.07   \n",
       "32                                       73.68   \n",
       "\n",
       "    nutricao_cuidados_medicos_basicos  agua_saneamento  moradia  \\\n",
       "0                               66.12            83.68    79.57   \n",
       "1                               64.32            80.80    71.06   \n",
       "2                               56.64            74.18    91.60   \n",
       "3                               72.61            84.36    73.29   \n",
       "4                               89.92            98.49    99.07   \n",
       "5                               92.01            99.32    96.84   \n",
       "6                               67.40            98.86    96.28   \n",
       "7                               65.35            86.36    74.47   \n",
       "8                               85.23            84.62    95.54   \n",
       "9                               68.21            94.21    87.11   \n",
       "10                              64.90            94.92    70.96   \n",
       "11                              43.14            97.56    85.59   \n",
       "12                              64.39            92.05    83.13   \n",
       "13                              64.71            91.26    88.36   \n",
       "14                              66.97            97.73    90.95   \n",
       "15                              53.76            89.36    82.89   \n",
       "16                              73.37            68.78    73.59   \n",
       "17                              66.52            89.96    74.32   \n",
       "18                              70.78            78.76    76.78   \n",
       "19                              57.91            71.21    65.96   \n",
       "20                              67.06            89.27    87.80   \n",
       "21                              74.81            86.42    76.82   \n",
       "22                              81.49            84.64    81.14   \n",
       "23                              78.49            50.75    84.87   \n",
       "24                              51.21            87.31    64.53   \n",
       "25                              64.71            17.54    59.45   \n",
       "26                              68.66            78.11    37.80   \n",
       "27                              37.52            85.73    21.52   \n",
       "28                              51.47            92.98    39.64   \n",
       "29                              54.12            82.18    69.04   \n",
       "30                              54.17            88.64    71.39   \n",
       "31                              64.96            87.40    81.21   \n",
       "32                              55.73            93.43    65.41   \n",
       "\n",
       "    seguranca_pessoal  fundamentos_bem_estar_nota_dimensao  \\\n",
       "0               67.14                                51.63   \n",
       "1               22.49                                36.00   \n",
       "2               14.52                                50.26   \n",
       "3               42.82                                50.81   \n",
       "4               79.18                                77.09   \n",
       "5               79.97                                68.93   \n",
       "6               77.66                                70.24   \n",
       "7               50.36                                40.80   \n",
       "8               76.49                                51.37   \n",
       "9               81.17                                64.52   \n",
       "10              59.99                                45.63   \n",
       "11              71.27                                45.01   \n",
       "12              58.16                                38.92   \n",
       "13              64.28                                55.32   \n",
       "14              63.56                                50.33   \n",
       "15              49.43                                45.89   \n",
       "16              81.76                                52.36   \n",
       "17              52.69                                37.74   \n",
       "18              85.31                                42.89   \n",
       "19              90.79                                31.87   \n",
       "20              69.35                                50.89   \n",
       "21              53.29                                42.92   \n",
       "22              63.03                                64.04   \n",
       "23              68.34                                67.87   \n",
       "24              40.71                                27.58   \n",
       "25              77.99                                31.07   \n",
       "26              90.18                                43.53   \n",
       "27              73.69                                37.11   \n",
       "28              44.62                                36.94   \n",
       "29              59.56                                34.85   \n",
       "30              73.91                                45.77   \n",
       "31              54.72                                43.49   \n",
       "32              80.15                                31.47   \n",
       "\n",
       "    acesso_conhecimento_basico  acesso_informacao  saude_bem_estar  \\\n",
       "0                        66.19              50.89            53.08   \n",
       "1                        59.51              20.73            19.20   \n",
       "2                        61.97              56.00            37.26   \n",
       "3                        68.72              42.08            39.33   \n",
       "4                        80.70              86.52            78.58   \n",
       "5                        77.01              81.95            72.40   \n",
       "6                        69.58              89.06            75.07   \n",
       "7                        66.57              34.65            31.01   \n",
       "8                        58.84              80.32            18.84   \n",
       "9                        62.50              74.99            65.02   \n",
       "10                       51.91              52.42            40.99   \n",
       "11                       56.40              43.90            49.68   \n",
       "12                       42.06              45.07            38.13   \n",
       "13                       58.57              64.58            51.50   \n",
       "14                       62.03              54.65            53.61   \n",
       "15                       46.84              45.83            47.33   \n",
       "16                       59.65              54.36            55.89   \n",
       "17                       54.89              33.54            29.48   \n",
       "18                       61.34              40.10            37.71   \n",
       "19                       54.53              18.98            38.62   \n",
       "20                       64.99              57.87            60.86   \n",
       "21                       45.22              36.94            51.63   \n",
       "22                       82.54              59.89            63.44   \n",
       "23                       73.69              78.51            73.12   \n",
       "24                       33.39              26.54            49.49   \n",
       "25                       53.26              22.15            14.52   \n",
       "26                       50.63              24.13            61.61   \n",
       "27                       41.14               0.00            73.51   \n",
       "28                       31.00              12.85            64.32   \n",
       "29                       33.74              15.34            75.46   \n",
       "30                       46.77              36.45            55.32   \n",
       "31                       65.58              42.68            39.23   \n",
       "32                       40.38              23.50            26.84   \n",
       "\n",
       "    qualidade_meio_ambiente  oportunidades_nota_dimensao  \\\n",
       "0                     36.37                        56.62   \n",
       "1                     44.55                        30.52   \n",
       "2                     45.82                        57.26   \n",
       "3                     53.10                        47.42   \n",
       "4                     62.56                        86.32   \n",
       "5                     44.36                        79.73   \n",
       "6                     47.23                        81.76   \n",
       "7                     30.98                        45.63   \n",
       "8                     47.48                        78.00   \n",
       "9                     55.58                        71.95   \n",
       "10                    37.20                        52.79   \n",
       "11                    30.08                        51.49   \n",
       "12                    30.40                        57.41   \n",
       "13                    46.61                        61.37   \n",
       "14                    31.04                        63.58   \n",
       "15                    43.56                        52.08   \n",
       "16                    39.56                        59.07   \n",
       "17                    33.04                        46.90   \n",
       "18                    32.40                        55.24   \n",
       "19                    15.34                        49.11   \n",
       "20                    19.82                        59.64   \n",
       "21                    37.90                        51.39   \n",
       "22                    50.28                        48.16   \n",
       "23                    46.15                        70.62   \n",
       "24                     0.89                        40.38   \n",
       "25                    34.36                        44.61   \n",
       "26                    37.74                        44.60   \n",
       "27                    33.80                        43.72   \n",
       "28                    39.59                        36.93   \n",
       "29                    14.86                        40.52   \n",
       "30                    44.55                        46.99   \n",
       "31                    26.47                        51.70   \n",
       "32                    35.17                        38.37   \n",
       "\n",
       "    direitos_individuais  liberdades_individuais  tolerancia_inclusao  \\\n",
       "0                  54.33                   62.72                77.05   \n",
       "1                  25.66                   50.76                40.23   \n",
       "2                  41.68                   87.28                51.84   \n",
       "3                  37.76                   60.82                68.64   \n",
       "4                  56.63                   89.80                99.48   \n",
       "5                  56.72                   80.14                98.53   \n",
       "6                  50.12                   96.77                98.57   \n",
       "7                  50.37                   52.92                62.40   \n",
       "8                  51.76                   85.53                95.88   \n",
       "9                  57.34                   65.11                92.14   \n",
       "10                 57.34                   52.68                76.76   \n",
       "11                 51.27                   51.93                79.57   \n",
       "12                 59.00                   63.36                76.47   \n",
       "13                 47.76                   65.29                84.63   \n",
       "14                 57.00                   75.16                84.04   \n",
       "15                 50.03                   58.83                74.38   \n",
       "16                 57.85                   64.54                79.79   \n",
       "17                 51.39                   51.57                70.19   \n",
       "18                 61.65                   60.83                79.22   \n",
       "19                 77.58                   41.51                71.03   \n",
       "20                 49.11                   62.51                83.26   \n",
       "21                 56.59                   63.67                68.30   \n",
       "22                 18.80                   69.64                69.94   \n",
       "23                 52.94                   78.85                82.94   \n",
       "24                 45.28                   49.89                55.39   \n",
       "25                 77.06                   50.47                45.24   \n",
       "26                 60.89                   51.67                64.04   \n",
       "27                 58.33                   42.94                71.29   \n",
       "28                 44.41                   39.29                63.52   \n",
       "29                 46.13                   52.13                61.57   \n",
       "30                 56.26                   48.21                70.56   \n",
       "31                 50.41                   66.58                68.86   \n",
       "32                 55.32                   25.47                68.20   \n",
       "\n",
       "    acesso_educacao_superior  \n",
       "0                      32.36  \n",
       "1                       5.43  \n",
       "2                      48.26  \n",
       "3                      22.48  \n",
       "4                      99.39  \n",
       "5                      83.53  \n",
       "6                      81.59  \n",
       "7                      16.83  \n",
       "8                      78.82  \n",
       "9                      73.20  \n",
       "10                     24.39  \n",
       "11                     23.19  \n",
       "12                     30.81  \n",
       "13                     47.82  \n",
       "14                     38.14  \n",
       "15                     25.08  \n",
       "16                     34.08  \n",
       "17                     14.45  \n",
       "18                     19.26  \n",
       "19                      6.31  \n",
       "20                     43.68  \n",
       "21                     17.01  \n",
       "22                     34.25  \n",
       "23                     67.74  \n",
       "24                     10.97  \n",
       "25                      5.68  \n",
       "26                      1.81  \n",
       "27                      2.34  \n",
       "28                      0.52  \n",
       "29                      2.26  \n",
       "30                     12.94  \n",
       "31                     20.97  \n",
       "32                      4.50  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Separação por ano desejado\n",
    "ips2020 = ips[ips['ano'] == 2020].reset_index(drop=True)\n",
    "ips2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(ips2020['moradia'], ips2020['acesso_educacao_superior'])\n",
    "plt.title('Relação entre o acesso a moradia e o acesso a educação superior no Rio de Janeiro')\n",
    "plt.xlabel('Acesso a Moradia')\n",
    "plt.ylabel('Acesso a Educação Superior')\n",
    "\n",
    "for i, regiao in enumerate(ips2020['regiao_administrativa']):\n",
    "    plt.annotate(regiao, (ips2020['moradia'][i], ips2020['acesso_educacao_superior'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verificação de dados\n",
    "onu2010['renda_pc'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Junção das tabelas para análise\n",
    "tabela_comparacao_em = pd.merge(onu2010, inep_2010_evasaodf, on='sigla_uf', how='inner')\n",
    "tabela_comparacao_ef = pd.merge(onu2010, inep_2010_evasaoefdf, on='sigla_uf', how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_em['renda_pc'], tabela_comparacao_em['taxa_abandono_em'])\n",
    "plt.title('Relação entre a Renda Per Capita Média e Taxa de Evasão do Ensino Médio por UF no ano de 2010')\n",
    "plt.xlabel('Renda Per Capita Média')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Médio')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_em['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_em['renda_pc'][i], tabela_comparacao_em['taxa_abandono_em'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_ef['renda_pc'], tabela_comparacao_ef['taxa_abandono_ef'])\n",
    "plt.title('Relação entre a Renda Per Capita Média e Taxa de Evasão do Ensino Fundamental por UF no ano de 2010')\n",
    "plt.xlabel('Renda Per Capita Média')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Fundamental')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_ef['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_ef['renda_pc'][i], tabela_comparacao_ef['taxa_abandono_ef'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verificação de dados da tabela\n",
    "onu2010['taxa_desocupacao_15_17'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Geração do gráfico desejado\n",
    "tabela_comparacao_em = pd.merge(onu2010, inep_2010_evasaodf, on='sigla_uf', how='inner')\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_em['taxa_desocupacao_15_17'], tabela_comparacao_em['taxa_abandono_em'])\n",
    "plt.title('Relação entre a Taxa de Desocupação na Adolescencia e Taxa de Evasão do Ensino Médio por UF no ano de 2010')\n",
    "plt.xlabel('Taxa de Descoupação dos 15 aos 17 anos')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Médio')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_em['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_em['taxa_desocupacao_15_17'][i], tabela_comparacao_em['taxa_abandono_em'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verificação de dados da tabela\n",
    "onu2010['razao_dependencia'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Junção das tabelas pra análise\n",
    "tabela_comparacao_ef = pd.merge(onu2010, inep_2010_evasaoefdf, on='sigla_uf', how='inner')\n",
    "#Geração do gráfico desejado\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.scatter(tabela_comparacao_ef['razao_dependencia'], tabela_comparacao_ef['taxa_abandono_ef'])\n",
    "plt.title('Relação entre a Razão de Dependência e Taxa de Evasão do Ensino Fundamental por UF no ano de 2010')\n",
    "plt.xlabel('Razão de Dependência')\n",
    "plt.ylabel('Taxa de Evasão de Ensino Fundamental')\n",
    "\n",
    "for i, uf in enumerate(tabela_comparacao_ef['sigla_uf']):\n",
    "    plt.annotate(uf, (tabela_comparacao_ef['razao_dependencia'][i], tabela_comparacao_ef['taxa_abandono_ef'][i]))\n",
    "\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}