notebooks/01 - Coleta e Limpeza.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9c49958b",
   "metadata": {},
   "source": [
    "# 01 - Coleta e Limpeza"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87034232",
   "metadata": {},
   "source": [
    "Os primeiros dados coletados serão as Coberturas Vacinais por Unidade da Federação e Ano."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ed953cb",
   "metadata": {},
   "source": [
    "## Coberturas Vacinais por Unidade da Federação e Ano"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3734671",
   "metadata": {},
   "source": [
    "Nesse dataset teremos o percentual da Corbetura Vainal, onde em cada linha teremos uma Unidade da Federação e em cada coluna o ano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9827de36",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aa58a102",
   "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>Unidade da Federação</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>42.76</td>\n",
       "      <td>50.80</td>\n",
       "      <td>76.05</td>\n",
       "      <td>83.33</td>\n",
       "      <td>93.26</td>\n",
       "      <td>82.31</td>\n",
       "      <td>79.59</td>\n",
       "      <td>83.70</td>\n",
       "      <td>78.18</td>\n",
       "      <td>...</td>\n",
       "      <td>92.75</td>\n",
       "      <td>85.82</td>\n",
       "      <td>76.72</td>\n",
       "      <td>98.18</td>\n",
       "      <td>111.27</td>\n",
       "      <td>63.77</td>\n",
       "      <td>80.74</td>\n",
       "      <td>82.45</td>\n",
       "      <td>51.44</td>\n",
       "      <td>79.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>20.53</td>\n",
       "      <td>46.61</td>\n",
       "      <td>36.59</td>\n",
       "      <td>67.56</td>\n",
       "      <td>66.38</td>\n",
       "      <td>85.61</td>\n",
       "      <td>66.79</td>\n",
       "      <td>76.77</td>\n",
       "      <td>81.66</td>\n",
       "      <td>...</td>\n",
       "      <td>84.74</td>\n",
       "      <td>74.35</td>\n",
       "      <td>58.87</td>\n",
       "      <td>59.29</td>\n",
       "      <td>75.54</td>\n",
       "      <td>46.91</td>\n",
       "      <td>62.18</td>\n",
       "      <td>67.44</td>\n",
       "      <td>45.44</td>\n",
       "      <td>69.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>20.15</td>\n",
       "      <td>35.82</td>\n",
       "      <td>49.88</td>\n",
       "      <td>72.01</td>\n",
       "      <td>70.62</td>\n",
       "      <td>72.19</td>\n",
       "      <td>70.91</td>\n",
       "      <td>70.68</td>\n",
       "      <td>70.98</td>\n",
       "      <td>...</td>\n",
       "      <td>80.09</td>\n",
       "      <td>79.18</td>\n",
       "      <td>67.06</td>\n",
       "      <td>77.14</td>\n",
       "      <td>94.95</td>\n",
       "      <td>48.27</td>\n",
       "      <td>65.33</td>\n",
       "      <td>69.82</td>\n",
       "      <td>49.97</td>\n",
       "      <td>69.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>64.06</td>\n",
       "      <td>88.84</td>\n",
       "      <td>89.18</td>\n",
       "      <td>80.26</td>\n",
       "      <td>97.45</td>\n",
       "      <td>93.76</td>\n",
       "      <td>83.94</td>\n",
       "      <td>72.67</td>\n",
       "      <td>78.33</td>\n",
       "      <td>...</td>\n",
       "      <td>84.42</td>\n",
       "      <td>73.13</td>\n",
       "      <td>60.70</td>\n",
       "      <td>82.30</td>\n",
       "      <td>105.27</td>\n",
       "      <td>57.41</td>\n",
       "      <td>74.26</td>\n",
       "      <td>78.76</td>\n",
       "      <td>48.04</td>\n",
       "      <td>75.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>32.44</td>\n",
       "      <td>40.11</td>\n",
       "      <td>51.26</td>\n",
       "      <td>67.09</td>\n",
       "      <td>67.46</td>\n",
       "      <td>82.95</td>\n",
       "      <td>77.23</td>\n",
       "      <td>83.43</td>\n",
       "      <td>82.66</td>\n",
       "      <td>...</td>\n",
       "      <td>84.11</td>\n",
       "      <td>77.87</td>\n",
       "      <td>67.91</td>\n",
       "      <td>71.71</td>\n",
       "      <td>67.51</td>\n",
       "      <td>41.43</td>\n",
       "      <td>57.60</td>\n",
       "      <td>57.44</td>\n",
       "      <td>37.53</td>\n",
       "      <td>73.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16 Amapá</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.68</td>\n",
       "      <td>44.75</td>\n",
       "      <td>52.06</td>\n",
       "      <td>73.77</td>\n",
       "      <td>83.48</td>\n",
       "      <td>70.61</td>\n",
       "      <td>101.50</td>\n",
       "      <td>75.61</td>\n",
       "      <td>...</td>\n",
       "      <td>77.88</td>\n",
       "      <td>73.77</td>\n",
       "      <td>67.66</td>\n",
       "      <td>76.11</td>\n",
       "      <td>88.75</td>\n",
       "      <td>56.62</td>\n",
       "      <td>58.66</td>\n",
       "      <td>63.32</td>\n",
       "      <td>44.02</td>\n",
       "      <td>72.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>17 Tocantins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.44</td>\n",
       "      <td>56.24</td>\n",
       "      <td>86.73</td>\n",
       "      <td>87.82</td>\n",
       "      <td>80.63</td>\n",
       "      <td>87.42</td>\n",
       "      <td>80.88</td>\n",
       "      <td>...</td>\n",
       "      <td>87.78</td>\n",
       "      <td>76.34</td>\n",
       "      <td>72.78</td>\n",
       "      <td>85.09</td>\n",
       "      <td>92.37</td>\n",
       "      <td>60.94</td>\n",
       "      <td>81.70</td>\n",
       "      <td>82.32</td>\n",
       "      <td>57.59</td>\n",
       "      <td>78.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21 Maranhão</td>\n",
       "      <td>27.43</td>\n",
       "      <td>35.69</td>\n",
       "      <td>41.05</td>\n",
       "      <td>60.33</td>\n",
       "      <td>68.09</td>\n",
       "      <td>81.10</td>\n",
       "      <td>74.81</td>\n",
       "      <td>79.09</td>\n",
       "      <td>76.93</td>\n",
       "      <td>...</td>\n",
       "      <td>87.15</td>\n",
       "      <td>77.67</td>\n",
       "      <td>73.54</td>\n",
       "      <td>83.27</td>\n",
       "      <td>94.40</td>\n",
       "      <td>43.38</td>\n",
       "      <td>60.87</td>\n",
       "      <td>64.51</td>\n",
       "      <td>40.05</td>\n",
       "      <td>73.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22 Piauí</td>\n",
       "      <td>62.22</td>\n",
       "      <td>48.16</td>\n",
       "      <td>46.40</td>\n",
       "      <td>57.65</td>\n",
       "      <td>64.59</td>\n",
       "      <td>81.53</td>\n",
       "      <td>78.74</td>\n",
       "      <td>81.18</td>\n",
       "      <td>79.67</td>\n",
       "      <td>...</td>\n",
       "      <td>86.04</td>\n",
       "      <td>77.57</td>\n",
       "      <td>71.99</td>\n",
       "      <td>76.06</td>\n",
       "      <td>80.68</td>\n",
       "      <td>46.94</td>\n",
       "      <td>67.25</td>\n",
       "      <td>70.80</td>\n",
       "      <td>44.88</td>\n",
       "      <td>73.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23 Ceará</td>\n",
       "      <td>49.20</td>\n",
       "      <td>50.06</td>\n",
       "      <td>60.28</td>\n",
       "      <td>74.00</td>\n",
       "      <td>64.09</td>\n",
       "      <td>88.63</td>\n",
       "      <td>78.82</td>\n",
       "      <td>83.18</td>\n",
       "      <td>78.97</td>\n",
       "      <td>...</td>\n",
       "      <td>83.44</td>\n",
       "      <td>74.76</td>\n",
       "      <td>73.09</td>\n",
       "      <td>96.57</td>\n",
       "      <td>107.71</td>\n",
       "      <td>56.44</td>\n",
       "      <td>73.67</td>\n",
       "      <td>77.37</td>\n",
       "      <td>47.53</td>\n",
       "      <td>75.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24 Rio Grande do Norte</td>\n",
       "      <td>41.34</td>\n",
       "      <td>49.23</td>\n",
       "      <td>56.57</td>\n",
       "      <td>61.55</td>\n",
       "      <td>58.99</td>\n",
       "      <td>78.80</td>\n",
       "      <td>70.21</td>\n",
       "      <td>73.12</td>\n",
       "      <td>73.20</td>\n",
       "      <td>...</td>\n",
       "      <td>81.30</td>\n",
       "      <td>74.96</td>\n",
       "      <td>66.86</td>\n",
       "      <td>82.44</td>\n",
       "      <td>89.17</td>\n",
       "      <td>42.23</td>\n",
       "      <td>53.69</td>\n",
       "      <td>67.54</td>\n",
       "      <td>38.10</td>\n",
       "      <td>68.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>25 Paraíba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.82</td>\n",
       "      <td>45.23</td>\n",
       "      <td>63.28</td>\n",
       "      <td>61.39</td>\n",
       "      <td>81.68</td>\n",
       "      <td>72.88</td>\n",
       "      <td>80.28</td>\n",
       "      <td>76.52</td>\n",
       "      <td>...</td>\n",
       "      <td>82.82</td>\n",
       "      <td>70.88</td>\n",
       "      <td>71.43</td>\n",
       "      <td>83.53</td>\n",
       "      <td>86.34</td>\n",
       "      <td>50.10</td>\n",
       "      <td>66.15</td>\n",
       "      <td>69.43</td>\n",
       "      <td>43.87</td>\n",
       "      <td>72.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26 Pernambuco</td>\n",
       "      <td>33.46</td>\n",
       "      <td>78.01</td>\n",
       "      <td>72.86</td>\n",
       "      <td>82.44</td>\n",
       "      <td>81.41</td>\n",
       "      <td>87.47</td>\n",
       "      <td>76.93</td>\n",
       "      <td>76.73</td>\n",
       "      <td>77.76</td>\n",
       "      <td>...</td>\n",
       "      <td>88.72</td>\n",
       "      <td>78.44</td>\n",
       "      <td>71.80</td>\n",
       "      <td>86.44</td>\n",
       "      <td>101.09</td>\n",
       "      <td>51.43</td>\n",
       "      <td>65.20</td>\n",
       "      <td>70.43</td>\n",
       "      <td>44.91</td>\n",
       "      <td>75.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>27 Alagoas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.35</td>\n",
       "      <td>46.58</td>\n",
       "      <td>50.95</td>\n",
       "      <td>54.52</td>\n",
       "      <td>78.30</td>\n",
       "      <td>72.36</td>\n",
       "      <td>74.45</td>\n",
       "      <td>76.03</td>\n",
       "      <td>...</td>\n",
       "      <td>73.81</td>\n",
       "      <td>70.45</td>\n",
       "      <td>67.30</td>\n",
       "      <td>84.08</td>\n",
       "      <td>92.74</td>\n",
       "      <td>44.88</td>\n",
       "      <td>65.01</td>\n",
       "      <td>70.79</td>\n",
       "      <td>44.26</td>\n",
       "      <td>70.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>28 Sergipe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67.66</td>\n",
       "      <td>67.28</td>\n",
       "      <td>73.92</td>\n",
       "      <td>71.66</td>\n",
       "      <td>98.68</td>\n",
       "      <td>77.96</td>\n",
       "      <td>79.01</td>\n",
       "      <td>78.28</td>\n",
       "      <td>...</td>\n",
       "      <td>83.94</td>\n",
       "      <td>74.33</td>\n",
       "      <td>74.76</td>\n",
       "      <td>86.11</td>\n",
       "      <td>91.00</td>\n",
       "      <td>47.05</td>\n",
       "      <td>63.49</td>\n",
       "      <td>68.76</td>\n",
       "      <td>46.21</td>\n",
       "      <td>74.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>29 Bahia</td>\n",
       "      <td>42.98</td>\n",
       "      <td>28.19</td>\n",
       "      <td>38.02</td>\n",
       "      <td>59.22</td>\n",
       "      <td>64.03</td>\n",
       "      <td>82.45</td>\n",
       "      <td>74.08</td>\n",
       "      <td>81.56</td>\n",
       "      <td>76.22</td>\n",
       "      <td>...</td>\n",
       "      <td>84.73</td>\n",
       "      <td>77.33</td>\n",
       "      <td>72.29</td>\n",
       "      <td>83.78</td>\n",
       "      <td>93.06</td>\n",
       "      <td>44.35</td>\n",
       "      <td>63.11</td>\n",
       "      <td>63.50</td>\n",
       "      <td>38.68</td>\n",
       "      <td>72.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>31 Minas Gerais</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.60</td>\n",
       "      <td>62.43</td>\n",
       "      <td>90.14</td>\n",
       "      <td>79.70</td>\n",
       "      <td>90.28</td>\n",
       "      <td>75.07</td>\n",
       "      <td>...</td>\n",
       "      <td>87.40</td>\n",
       "      <td>82.73</td>\n",
       "      <td>80.04</td>\n",
       "      <td>90.21</td>\n",
       "      <td>100.33</td>\n",
       "      <td>57.58</td>\n",
       "      <td>80.42</td>\n",
       "      <td>85.42</td>\n",
       "      <td>53.43</td>\n",
       "      <td>78.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32 Espírito Santo</td>\n",
       "      <td>55.22</td>\n",
       "      <td>74.91</td>\n",
       "      <td>75.62</td>\n",
       "      <td>77.78</td>\n",
       "      <td>89.21</td>\n",
       "      <td>94.67</td>\n",
       "      <td>79.36</td>\n",
       "      <td>80.75</td>\n",
       "      <td>78.05</td>\n",
       "      <td>...</td>\n",
       "      <td>88.35</td>\n",
       "      <td>79.71</td>\n",
       "      <td>72.30</td>\n",
       "      <td>90.98</td>\n",
       "      <td>98.39</td>\n",
       "      <td>51.19</td>\n",
       "      <td>66.35</td>\n",
       "      <td>74.22</td>\n",
       "      <td>48.72</td>\n",
       "      <td>76.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33 Rio de Janeiro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.29</td>\n",
       "      <td>36.26</td>\n",
       "      <td>69.12</td>\n",
       "      <td>73.78</td>\n",
       "      <td>91.77</td>\n",
       "      <td>75.16</td>\n",
       "      <td>75.02</td>\n",
       "      <td>74.66</td>\n",
       "      <td>...</td>\n",
       "      <td>83.91</td>\n",
       "      <td>73.71</td>\n",
       "      <td>68.11</td>\n",
       "      <td>84.08</td>\n",
       "      <td>96.14</td>\n",
       "      <td>47.98</td>\n",
       "      <td>67.04</td>\n",
       "      <td>61.37</td>\n",
       "      <td>25.99</td>\n",
       "      <td>69.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>35 São Paulo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.01</td>\n",
       "      <td>44.86</td>\n",
       "      <td>74.70</td>\n",
       "      <td>79.73</td>\n",
       "      <td>92.11</td>\n",
       "      <td>76.19</td>\n",
       "      <td>76.51</td>\n",
       "      <td>73.30</td>\n",
       "      <td>...</td>\n",
       "      <td>84.96</td>\n",
       "      <td>77.28</td>\n",
       "      <td>73.37</td>\n",
       "      <td>88.20</td>\n",
       "      <td>98.63</td>\n",
       "      <td>45.94</td>\n",
       "      <td>67.29</td>\n",
       "      <td>71.52</td>\n",
       "      <td>46.18</td>\n",
       "      <td>71.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>41 Paraná</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.30</td>\n",
       "      <td>51.84</td>\n",
       "      <td>76.53</td>\n",
       "      <td>63.40</td>\n",
       "      <td>75.09</td>\n",
       "      <td>78.72</td>\n",
       "      <td>81.01</td>\n",
       "      <td>77.26</td>\n",
       "      <td>...</td>\n",
       "      <td>89.97</td>\n",
       "      <td>79.48</td>\n",
       "      <td>77.59</td>\n",
       "      <td>86.95</td>\n",
       "      <td>96.41</td>\n",
       "      <td>55.32</td>\n",
       "      <td>77.66</td>\n",
       "      <td>81.79</td>\n",
       "      <td>58.11</td>\n",
       "      <td>75.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>42 Santa Catarina</td>\n",
       "      <td>51.60</td>\n",
       "      <td>55.47</td>\n",
       "      <td>48.53</td>\n",
       "      <td>73.29</td>\n",
       "      <td>71.64</td>\n",
       "      <td>82.85</td>\n",
       "      <td>75.49</td>\n",
       "      <td>78.11</td>\n",
       "      <td>74.59</td>\n",
       "      <td>...</td>\n",
       "      <td>88.07</td>\n",
       "      <td>78.79</td>\n",
       "      <td>72.94</td>\n",
       "      <td>91.81</td>\n",
       "      <td>100.69</td>\n",
       "      <td>58.88</td>\n",
       "      <td>75.82</td>\n",
       "      <td>82.43</td>\n",
       "      <td>60.59</td>\n",
       "      <td>74.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>43 Rio Grande do Sul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.25</td>\n",
       "      <td>58.90</td>\n",
       "      <td>65.07</td>\n",
       "      <td>63.25</td>\n",
       "      <td>85.90</td>\n",
       "      <td>71.91</td>\n",
       "      <td>75.60</td>\n",
       "      <td>74.07</td>\n",
       "      <td>...</td>\n",
       "      <td>81.99</td>\n",
       "      <td>72.95</td>\n",
       "      <td>73.47</td>\n",
       "      <td>84.15</td>\n",
       "      <td>87.69</td>\n",
       "      <td>53.86</td>\n",
       "      <td>72.54</td>\n",
       "      <td>74.94</td>\n",
       "      <td>51.65</td>\n",
       "      <td>70.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50 Mato Grosso do Sul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.02</td>\n",
       "      <td>70.62</td>\n",
       "      <td>75.01</td>\n",
       "      <td>92.05</td>\n",
       "      <td>85.08</td>\n",
       "      <td>88.66</td>\n",
       "      <td>80.84</td>\n",
       "      <td>...</td>\n",
       "      <td>89.37</td>\n",
       "      <td>83.46</td>\n",
       "      <td>81.81</td>\n",
       "      <td>110.11</td>\n",
       "      <td>113.07</td>\n",
       "      <td>63.55</td>\n",
       "      <td>78.81</td>\n",
       "      <td>83.52</td>\n",
       "      <td>52.21</td>\n",
       "      <td>79.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>51 Mato Grosso</td>\n",
       "      <td>31.76</td>\n",
       "      <td>37.67</td>\n",
       "      <td>37.44</td>\n",
       "      <td>74.22</td>\n",
       "      <td>78.08</td>\n",
       "      <td>84.87</td>\n",
       "      <td>84.34</td>\n",
       "      <td>85.97</td>\n",
       "      <td>81.93</td>\n",
       "      <td>...</td>\n",
       "      <td>87.40</td>\n",
       "      <td>81.37</td>\n",
       "      <td>75.04</td>\n",
       "      <td>92.61</td>\n",
       "      <td>100.32</td>\n",
       "      <td>58.32</td>\n",
       "      <td>74.28</td>\n",
       "      <td>76.70</td>\n",
       "      <td>46.38</td>\n",
       "      <td>76.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>52 Goiás</td>\n",
       "      <td>22.37</td>\n",
       "      <td>69.81</td>\n",
       "      <td>66.93</td>\n",
       "      <td>70.07</td>\n",
       "      <td>73.23</td>\n",
       "      <td>87.36</td>\n",
       "      <td>82.76</td>\n",
       "      <td>83.87</td>\n",
       "      <td>82.66</td>\n",
       "      <td>...</td>\n",
       "      <td>96.24</td>\n",
       "      <td>82.52</td>\n",
       "      <td>79.36</td>\n",
       "      <td>86.63</td>\n",
       "      <td>93.55</td>\n",
       "      <td>53.60</td>\n",
       "      <td>73.25</td>\n",
       "      <td>71.85</td>\n",
       "      <td>47.04</td>\n",
       "      <td>77.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>53 Distrito Federal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.34</td>\n",
       "      <td>55.99</td>\n",
       "      <td>64.17</td>\n",
       "      <td>84.43</td>\n",
       "      <td>86.24</td>\n",
       "      <td>73.49</td>\n",
       "      <td>71.77</td>\n",
       "      <td>69.15</td>\n",
       "      <td>...</td>\n",
       "      <td>67.70</td>\n",
       "      <td>64.84</td>\n",
       "      <td>85.83</td>\n",
       "      <td>89.33</td>\n",
       "      <td>71.55</td>\n",
       "      <td>75.28</td>\n",
       "      <td>73.82</td>\n",
       "      <td>73.85</td>\n",
       "      <td>49.58</td>\n",
       "      <td>74.74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unidade da Federação   1994   1995   1996   1997   1998   1999   2000  \\\n",
       "0              11 Rondônia  42.76  50.80  76.05  83.33  93.26  82.31  79.59   \n",
       "1                  12 Acre  20.53  46.61  36.59  67.56  66.38  85.61  66.79   \n",
       "2              13 Amazonas  20.15  35.82  49.88  72.01  70.62  72.19  70.91   \n",
       "3               14 Roraima  64.06  88.84  89.18  80.26  97.45  93.76  83.94   \n",
       "4                  15 Pará  32.44  40.11  51.26  67.09  67.46  82.95  77.23   \n",
       "5                 16 Amapá    NaN  34.68  44.75  52.06  73.77  83.48  70.61   \n",
       "6             17 Tocantins    NaN    NaN  65.44  56.24  86.73  87.82  80.63   \n",
       "7              21 Maranhão  27.43  35.69  41.05  60.33  68.09  81.10  74.81   \n",
       "8                 22 Piauí  62.22  48.16  46.40  57.65  64.59  81.53  78.74   \n",
       "9                 23 Ceará  49.20  50.06  60.28  74.00  64.09  88.63  78.82   \n",
       "10  24 Rio Grande do Norte  41.34  49.23  56.57  61.55  58.99  78.80  70.21   \n",
       "11              25 Paraíba    NaN  22.82  45.23  63.28  61.39  81.68  72.88   \n",
       "12           26 Pernambuco  33.46  78.01  72.86  82.44  81.41  87.47  76.93   \n",
       "13              27 Alagoas    NaN  28.35  46.58  50.95  54.52  78.30  72.36   \n",
       "14              28 Sergipe    NaN  67.66  67.28  73.92  71.66  98.68  77.96   \n",
       "15                29 Bahia  42.98  28.19  38.02  59.22  64.03  82.45  74.08   \n",
       "16         31 Minas Gerais    NaN    NaN    NaN  62.60  62.43  90.14  79.70   \n",
       "17       32 Espírito Santo  55.22  74.91  75.62  77.78  89.21  94.67  79.36   \n",
       "18       33 Rio de Janeiro    NaN  43.29  36.26  69.12  73.78  91.77  75.16   \n",
       "19            35 São Paulo    NaN  45.01  44.86  74.70  79.73  92.11  76.19   \n",
       "20               41 Paraná    NaN  35.30  51.84  76.53  63.40  75.09  78.72   \n",
       "21       42 Santa Catarina  51.60  55.47  48.53  73.29  71.64  82.85  75.49   \n",
       "22    43 Rio Grande do Sul    NaN  65.25  58.90  65.07  63.25  85.90  71.91   \n",
       "23   50 Mato Grosso do Sul    NaN    NaN  39.02  70.62  75.01  92.05  85.08   \n",
       "24          51 Mato Grosso  31.76  37.67  37.44  74.22  78.08  84.87  84.34   \n",
       "25                52 Goiás  22.37  69.81  66.93  70.07  73.23  87.36  82.76   \n",
       "26     53 Distrito Federal    NaN   0.34  55.99  64.17  84.43  86.24  73.49   \n",
       "\n",
       "      2001   2002  ...   2011   2012   2013    2014    2015   2016   2017  \\\n",
       "0    83.70  78.18  ...  92.75  85.82  76.72   98.18  111.27  63.77  80.74   \n",
       "1    76.77  81.66  ...  84.74  74.35  58.87   59.29   75.54  46.91  62.18   \n",
       "2    70.68  70.98  ...  80.09  79.18  67.06   77.14   94.95  48.27  65.33   \n",
       "3    72.67  78.33  ...  84.42  73.13  60.70   82.30  105.27  57.41  74.26   \n",
       "4    83.43  82.66  ...  84.11  77.87  67.91   71.71   67.51  41.43  57.60   \n",
       "5   101.50  75.61  ...  77.88  73.77  67.66   76.11   88.75  56.62  58.66   \n",
       "6    87.42  80.88  ...  87.78  76.34  72.78   85.09   92.37  60.94  81.70   \n",
       "7    79.09  76.93  ...  87.15  77.67  73.54   83.27   94.40  43.38  60.87   \n",
       "8    81.18  79.67  ...  86.04  77.57  71.99   76.06   80.68  46.94  67.25   \n",
       "9    83.18  78.97  ...  83.44  74.76  73.09   96.57  107.71  56.44  73.67   \n",
       "10   73.12  73.20  ...  81.30  74.96  66.86   82.44   89.17  42.23  53.69   \n",
       "11   80.28  76.52  ...  82.82  70.88  71.43   83.53   86.34  50.10  66.15   \n",
       "12   76.73  77.76  ...  88.72  78.44  71.80   86.44  101.09  51.43  65.20   \n",
       "13   74.45  76.03  ...  73.81  70.45  67.30   84.08   92.74  44.88  65.01   \n",
       "14   79.01  78.28  ...  83.94  74.33  74.76   86.11   91.00  47.05  63.49   \n",
       "15   81.56  76.22  ...  84.73  77.33  72.29   83.78   93.06  44.35  63.11   \n",
       "16   90.28  75.07  ...  87.40  82.73  80.04   90.21  100.33  57.58  80.42   \n",
       "17   80.75  78.05  ...  88.35  79.71  72.30   90.98   98.39  51.19  66.35   \n",
       "18   75.02  74.66  ...  83.91  73.71  68.11   84.08   96.14  47.98  67.04   \n",
       "19   76.51  73.30  ...  84.96  77.28  73.37   88.20   98.63  45.94  67.29   \n",
       "20   81.01  77.26  ...  89.97  79.48  77.59   86.95   96.41  55.32  77.66   \n",
       "21   78.11  74.59  ...  88.07  78.79  72.94   91.81  100.69  58.88  75.82   \n",
       "22   75.60  74.07  ...  81.99  72.95  73.47   84.15   87.69  53.86  72.54   \n",
       "23   88.66  80.84  ...  89.37  83.46  81.81  110.11  113.07  63.55  78.81   \n",
       "24   85.97  81.93  ...  87.40  81.37  75.04   92.61  100.32  58.32  74.28   \n",
       "25   83.87  82.66  ...  96.24  82.52  79.36   86.63   93.55  53.60  73.25   \n",
       "26   71.77  69.15  ...  67.70  64.84  85.83   89.33   71.55  75.28  73.82   \n",
       "\n",
       "     2018   2019  Total  \n",
       "0   82.45  51.44  79.88  \n",
       "1   67.44  45.44  69.26  \n",
       "2   69.82  49.97  69.65  \n",
       "3   78.76  48.04  75.68  \n",
       "4   57.44  37.53  73.89  \n",
       "5   63.32  44.02  72.88  \n",
       "6   82.32  57.59  78.47  \n",
       "7   64.51  40.05  73.91  \n",
       "8   70.80  44.88  73.15  \n",
       "9   77.37  47.53  75.75  \n",
       "10  67.54  38.10  68.77  \n",
       "11  69.43  43.87  72.02  \n",
       "12  70.43  44.91  75.12  \n",
       "13  70.79  44.26  70.26  \n",
       "14  68.76  46.21  74.36  \n",
       "15  63.50  38.68  72.39  \n",
       "16  85.42  53.43  78.03  \n",
       "17  74.22  48.72  76.09  \n",
       "18  61.37  25.99  69.70  \n",
       "19  71.52  46.18  71.68  \n",
       "20  81.79  58.11  75.08  \n",
       "21  82.43  60.59  74.53  \n",
       "22  74.94  51.65  70.96  \n",
       "23  83.52  52.21  79.69  \n",
       "24  76.70  46.38  76.12  \n",
       "25  71.85  47.04  77.66  \n",
       "26  73.85  49.58  74.74  \n",
       "\n",
       "[27 rows x 28 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_por_uf_ano = pd.read_csv(\"../dados/A100607189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=3, sep=\";\", skipfooter=20,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "cv_por_uf_ano"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16850516",
   "metadata": {},
   "source": [
    "Agora que já temos os dados inseridos vamos eliminar os valores ausentes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "aec3ad25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unidade da Federação     0\n",
       "1994                    12\n",
       "1995                     3\n",
       "1996                     1\n",
       "1997                     0\n",
       "1998                     0\n",
       "1999                     0\n",
       "2000                     0\n",
       "2001                     0\n",
       "2002                     0\n",
       "2003                     0\n",
       "2004                     0\n",
       "2005                     0\n",
       "2006                     0\n",
       "2007                     0\n",
       "2008                     0\n",
       "2009                     0\n",
       "2010                     0\n",
       "2011                     0\n",
       "2012                     0\n",
       "2013                     0\n",
       "2014                     0\n",
       "2015                     0\n",
       "2016                     0\n",
       "2017                     0\n",
       "2018                     0\n",
       "2019                     0\n",
       "Total                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_por_uf_ano.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c19889c",
   "metadata": {},
   "source": [
    "Temos valores ausentes apenas nos primeiros anos (1994, 1995 e 1996), vamos eliminar essas colunas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "115e49de",
   "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>Unidade da Federação</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>83.33</td>\n",
       "      <td>93.26</td>\n",
       "      <td>82.31</td>\n",
       "      <td>79.59</td>\n",
       "      <td>83.70</td>\n",
       "      <td>78.18</td>\n",
       "      <td>72.30</td>\n",
       "      <td>81.87</td>\n",
       "      <td>80.75</td>\n",
       "      <td>...</td>\n",
       "      <td>92.75</td>\n",
       "      <td>85.82</td>\n",
       "      <td>76.72</td>\n",
       "      <td>98.18</td>\n",
       "      <td>111.27</td>\n",
       "      <td>63.77</td>\n",
       "      <td>80.74</td>\n",
       "      <td>82.45</td>\n",
       "      <td>51.44</td>\n",
       "      <td>79.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>67.56</td>\n",
       "      <td>66.38</td>\n",
       "      <td>85.61</td>\n",
       "      <td>66.79</td>\n",
       "      <td>76.77</td>\n",
       "      <td>81.66</td>\n",
       "      <td>77.54</td>\n",
       "      <td>80.21</td>\n",
       "      <td>72.09</td>\n",
       "      <td>...</td>\n",
       "      <td>84.74</td>\n",
       "      <td>74.35</td>\n",
       "      <td>58.87</td>\n",
       "      <td>59.29</td>\n",
       "      <td>75.54</td>\n",
       "      <td>46.91</td>\n",
       "      <td>62.18</td>\n",
       "      <td>67.44</td>\n",
       "      <td>45.44</td>\n",
       "      <td>69.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>72.01</td>\n",
       "      <td>70.62</td>\n",
       "      <td>72.19</td>\n",
       "      <td>70.91</td>\n",
       "      <td>70.68</td>\n",
       "      <td>70.98</td>\n",
       "      <td>64.77</td>\n",
       "      <td>72.14</td>\n",
       "      <td>73.67</td>\n",
       "      <td>...</td>\n",
       "      <td>80.09</td>\n",
       "      <td>79.18</td>\n",
       "      <td>67.06</td>\n",
       "      <td>77.14</td>\n",
       "      <td>94.95</td>\n",
       "      <td>48.27</td>\n",
       "      <td>65.33</td>\n",
       "      <td>69.82</td>\n",
       "      <td>49.97</td>\n",
       "      <td>69.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>80.26</td>\n",
       "      <td>97.45</td>\n",
       "      <td>93.76</td>\n",
       "      <td>83.94</td>\n",
       "      <td>72.67</td>\n",
       "      <td>78.33</td>\n",
       "      <td>72.99</td>\n",
       "      <td>80.28</td>\n",
       "      <td>78.26</td>\n",
       "      <td>...</td>\n",
       "      <td>84.42</td>\n",
       "      <td>73.13</td>\n",
       "      <td>60.70</td>\n",
       "      <td>82.30</td>\n",
       "      <td>105.27</td>\n",
       "      <td>57.41</td>\n",
       "      <td>74.26</td>\n",
       "      <td>78.76</td>\n",
       "      <td>48.04</td>\n",
       "      <td>75.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>67.09</td>\n",
       "      <td>67.46</td>\n",
       "      <td>82.95</td>\n",
       "      <td>77.23</td>\n",
       "      <td>83.43</td>\n",
       "      <td>82.66</td>\n",
       "      <td>80.50</td>\n",
       "      <td>97.38</td>\n",
       "      <td>89.17</td>\n",
       "      <td>...</td>\n",
       "      <td>84.11</td>\n",
       "      <td>77.87</td>\n",
       "      <td>67.91</td>\n",
       "      <td>71.71</td>\n",
       "      <td>67.51</td>\n",
       "      <td>41.43</td>\n",
       "      <td>57.60</td>\n",
       "      <td>57.44</td>\n",
       "      <td>37.53</td>\n",
       "      <td>73.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unidade da Federação   1997   1998   1999   2000   2001   2002   2003  \\\n",
       "0          11 Rondônia  83.33  93.26  82.31  79.59  83.70  78.18  72.30   \n",
       "1              12 Acre  67.56  66.38  85.61  66.79  76.77  81.66  77.54   \n",
       "2          13 Amazonas  72.01  70.62  72.19  70.91  70.68  70.98  64.77   \n",
       "3           14 Roraima  80.26  97.45  93.76  83.94  72.67  78.33  72.99   \n",
       "4              15 Pará  67.09  67.46  82.95  77.23  83.43  82.66  80.50   \n",
       "\n",
       "    2004   2005  ...   2011   2012   2013   2014    2015   2016   2017   2018  \\\n",
       "0  81.87  80.75  ...  92.75  85.82  76.72  98.18  111.27  63.77  80.74  82.45   \n",
       "1  80.21  72.09  ...  84.74  74.35  58.87  59.29   75.54  46.91  62.18  67.44   \n",
       "2  72.14  73.67  ...  80.09  79.18  67.06  77.14   94.95  48.27  65.33  69.82   \n",
       "3  80.28  78.26  ...  84.42  73.13  60.70  82.30  105.27  57.41  74.26  78.76   \n",
       "4  97.38  89.17  ...  84.11  77.87  67.91  71.71   67.51  41.43  57.60  57.44   \n",
       "\n",
       "    2019  Total  \n",
       "0  51.44  79.88  \n",
       "1  45.44  69.26  \n",
       "2  49.97  69.65  \n",
       "3  48.04  75.68  \n",
       "4  37.53  73.89  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_por_uf_ano = cv_por_uf_ano.dropna(axis=\"columns\")\n",
    "cv_por_uf_ano.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "73ada506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_por_uf_ano.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a452c18e",
   "metadata": {},
   "source": [
    "Além disso também vamos remover a coluna Total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b2aa2f7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>Unidade da Federação</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>...</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>83.33</td>\n",
       "      <td>93.26</td>\n",
       "      <td>82.31</td>\n",
       "      <td>79.59</td>\n",
       "      <td>83.70</td>\n",
       "      <td>78.18</td>\n",
       "      <td>72.30</td>\n",
       "      <td>81.87</td>\n",
       "      <td>80.75</td>\n",
       "      <td>...</td>\n",
       "      <td>79.26</td>\n",
       "      <td>92.75</td>\n",
       "      <td>85.82</td>\n",
       "      <td>76.72</td>\n",
       "      <td>98.18</td>\n",
       "      <td>111.27</td>\n",
       "      <td>63.77</td>\n",
       "      <td>80.74</td>\n",
       "      <td>82.45</td>\n",
       "      <td>51.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>67.56</td>\n",
       "      <td>66.38</td>\n",
       "      <td>85.61</td>\n",
       "      <td>66.79</td>\n",
       "      <td>76.77</td>\n",
       "      <td>81.66</td>\n",
       "      <td>77.54</td>\n",
       "      <td>80.21</td>\n",
       "      <td>72.09</td>\n",
       "      <td>...</td>\n",
       "      <td>76.32</td>\n",
       "      <td>84.74</td>\n",
       "      <td>74.35</td>\n",
       "      <td>58.87</td>\n",
       "      <td>59.29</td>\n",
       "      <td>75.54</td>\n",
       "      <td>46.91</td>\n",
       "      <td>62.18</td>\n",
       "      <td>67.44</td>\n",
       "      <td>45.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>72.01</td>\n",
       "      <td>70.62</td>\n",
       "      <td>72.19</td>\n",
       "      <td>70.91</td>\n",
       "      <td>70.68</td>\n",
       "      <td>70.98</td>\n",
       "      <td>64.77</td>\n",
       "      <td>72.14</td>\n",
       "      <td>73.67</td>\n",
       "      <td>...</td>\n",
       "      <td>73.30</td>\n",
       "      <td>80.09</td>\n",
       "      <td>79.18</td>\n",
       "      <td>67.06</td>\n",
       "      <td>77.14</td>\n",
       "      <td>94.95</td>\n",
       "      <td>48.27</td>\n",
       "      <td>65.33</td>\n",
       "      <td>69.82</td>\n",
       "      <td>49.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>80.26</td>\n",
       "      <td>97.45</td>\n",
       "      <td>93.76</td>\n",
       "      <td>83.94</td>\n",
       "      <td>72.67</td>\n",
       "      <td>78.33</td>\n",
       "      <td>72.99</td>\n",
       "      <td>80.28</td>\n",
       "      <td>78.26</td>\n",
       "      <td>...</td>\n",
       "      <td>75.19</td>\n",
       "      <td>84.42</td>\n",
       "      <td>73.13</td>\n",
       "      <td>60.70</td>\n",
       "      <td>82.30</td>\n",
       "      <td>105.27</td>\n",
       "      <td>57.41</td>\n",
       "      <td>74.26</td>\n",
       "      <td>78.76</td>\n",
       "      <td>48.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>67.09</td>\n",
       "      <td>67.46</td>\n",
       "      <td>82.95</td>\n",
       "      <td>77.23</td>\n",
       "      <td>83.43</td>\n",
       "      <td>82.66</td>\n",
       "      <td>80.50</td>\n",
       "      <td>97.38</td>\n",
       "      <td>89.17</td>\n",
       "      <td>...</td>\n",
       "      <td>81.55</td>\n",
       "      <td>84.11</td>\n",
       "      <td>77.87</td>\n",
       "      <td>67.91</td>\n",
       "      <td>71.71</td>\n",
       "      <td>67.51</td>\n",
       "      <td>41.43</td>\n",
       "      <td>57.60</td>\n",
       "      <td>57.44</td>\n",
       "      <td>37.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unidade da Federação   1997   1998   1999   2000   2001   2002   2003  \\\n",
       "0          11 Rondônia  83.33  93.26  82.31  79.59  83.70  78.18  72.30   \n",
       "1              12 Acre  67.56  66.38  85.61  66.79  76.77  81.66  77.54   \n",
       "2          13 Amazonas  72.01  70.62  72.19  70.91  70.68  70.98  64.77   \n",
       "3           14 Roraima  80.26  97.45  93.76  83.94  72.67  78.33  72.99   \n",
       "4              15 Pará  67.09  67.46  82.95  77.23  83.43  82.66  80.50   \n",
       "\n",
       "    2004   2005  ...   2010   2011   2012   2013   2014    2015   2016   2017  \\\n",
       "0  81.87  80.75  ...  79.26  92.75  85.82  76.72  98.18  111.27  63.77  80.74   \n",
       "1  80.21  72.09  ...  76.32  84.74  74.35  58.87  59.29   75.54  46.91  62.18   \n",
       "2  72.14  73.67  ...  73.30  80.09  79.18  67.06  77.14   94.95  48.27  65.33   \n",
       "3  80.28  78.26  ...  75.19  84.42  73.13  60.70  82.30  105.27  57.41  74.26   \n",
       "4  97.38  89.17  ...  81.55  84.11  77.87  67.91  71.71   67.51  41.43  57.60   \n",
       "\n",
       "    2018   2019  \n",
       "0  82.45  51.44  \n",
       "1  67.44  45.44  \n",
       "2  69.82  49.97  \n",
       "3  78.76  48.04  \n",
       "4  57.44  37.53  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_por_uf_ano = cv_por_uf_ano.drop(\"Total\", axis=\"columns\")\n",
    "cv_por_uf_ano.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15725950",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para utilizarmos mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bda25d33",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_por_uf_ano.to_csv(\"../dados/dados limpos/cv_por_uf_ano.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb4d75d2",
   "metadata": {},
   "source": [
    "## Doses Cáculos CV por Ano segundo Unidade da Federação"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "76c41ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>150744</td>\n",
       "      <td>169930</td>\n",
       "      <td>260583</td>\n",
       "      <td>221136</td>\n",
       "      <td>254228</td>\n",
       "      <td>511993</td>\n",
       "      <td>595405</td>\n",
       "      <td>634672</td>\n",
       "      <td>603409</td>\n",
       "      <td>...</td>\n",
       "      <td>435345</td>\n",
       "      <td>427785</td>\n",
       "      <td>487788</td>\n",
       "      <td>664623</td>\n",
       "      <td>692060</td>\n",
       "      <td>619782</td>\n",
       "      <td>580329</td>\n",
       "      <td>554429</td>\n",
       "      <td>344707</td>\n",
       "      <td>13579585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>22658</td>\n",
       "      <td>57518</td>\n",
       "      <td>45907</td>\n",
       "      <td>78576</td>\n",
       "      <td>79331</td>\n",
       "      <td>240690</td>\n",
       "      <td>245193</td>\n",
       "      <td>281863</td>\n",
       "      <td>309201</td>\n",
       "      <td>...</td>\n",
       "      <td>257132</td>\n",
       "      <td>240469</td>\n",
       "      <td>240916</td>\n",
       "      <td>254867</td>\n",
       "      <td>294119</td>\n",
       "      <td>259444</td>\n",
       "      <td>265563</td>\n",
       "      <td>266548</td>\n",
       "      <td>183891</td>\n",
       "      <td>6538933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>127265</td>\n",
       "      <td>236612</td>\n",
       "      <td>279674</td>\n",
       "      <td>427850</td>\n",
       "      <td>430178</td>\n",
       "      <td>1013496</td>\n",
       "      <td>1198384</td>\n",
       "      <td>1327220</td>\n",
       "      <td>1360736</td>\n",
       "      <td>...</td>\n",
       "      <td>1090240</td>\n",
       "      <td>1149204</td>\n",
       "      <td>1173912</td>\n",
       "      <td>1546920</td>\n",
       "      <td>1721877</td>\n",
       "      <td>1404249</td>\n",
       "      <td>1412102</td>\n",
       "      <td>1435823</td>\n",
       "      <td>996366</td>\n",
       "      <td>31196446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>38382</td>\n",
       "      <td>56559</td>\n",
       "      <td>58502</td>\n",
       "      <td>51558</td>\n",
       "      <td>64159</td>\n",
       "      <td>139177</td>\n",
       "      <td>187080</td>\n",
       "      <td>162704</td>\n",
       "      <td>171102</td>\n",
       "      <td>...</td>\n",
       "      <td>146403</td>\n",
       "      <td>134478</td>\n",
       "      <td>137917</td>\n",
       "      <td>223255</td>\n",
       "      <td>261569</td>\n",
       "      <td>223781</td>\n",
       "      <td>223177</td>\n",
       "      <td>237162</td>\n",
       "      <td>146819</td>\n",
       "      <td>4334259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>440625</td>\n",
       "      <td>552664</td>\n",
       "      <td>722825</td>\n",
       "      <td>890749</td>\n",
       "      <td>914640</td>\n",
       "      <td>2585184</td>\n",
       "      <td>2886309</td>\n",
       "      <td>3182573</td>\n",
       "      <td>3209151</td>\n",
       "      <td>...</td>\n",
       "      <td>2159285</td>\n",
       "      <td>2120596</td>\n",
       "      <td>2217128</td>\n",
       "      <td>2577588</td>\n",
       "      <td>2121121</td>\n",
       "      <td>1986047</td>\n",
       "      <td>2067185</td>\n",
       "      <td>1994916</td>\n",
       "      <td>1299432</td>\n",
       "      <td>64447319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16 Amapá</td>\n",
       "      <td>-</td>\n",
       "      <td>32559</td>\n",
       "      <td>43911</td>\n",
       "      <td>54202</td>\n",
       "      <td>80449</td>\n",
       "      <td>205472</td>\n",
       "      <td>232258</td>\n",
       "      <td>342676</td>\n",
       "      <td>256112</td>\n",
       "      <td>...</td>\n",
       "      <td>200416</td>\n",
       "      <td>201291</td>\n",
       "      <td>235158</td>\n",
       "      <td>291264</td>\n",
       "      <td>317476</td>\n",
       "      <td>309878</td>\n",
       "      <td>240586</td>\n",
       "      <td>241570</td>\n",
       "      <td>165800</td>\n",
       "      <td>6025103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>17 Tocantins</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>162309</td>\n",
       "      <td>132414</td>\n",
       "      <td>209755</td>\n",
       "      <td>500080</td>\n",
       "      <td>557200</td>\n",
       "      <td>591184</td>\n",
       "      <td>557207</td>\n",
       "      <td>...</td>\n",
       "      <td>393544</td>\n",
       "      <td>364498</td>\n",
       "      <td>419059</td>\n",
       "      <td>520696</td>\n",
       "      <td>500465</td>\n",
       "      <td>473930</td>\n",
       "      <td>496697</td>\n",
       "      <td>469306</td>\n",
       "      <td>337453</td>\n",
       "      <td>11640134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21 Maranhão</td>\n",
       "      <td>395000</td>\n",
       "      <td>482285</td>\n",
       "      <td>567243</td>\n",
       "      <td>700146</td>\n",
       "      <td>802799</td>\n",
       "      <td>2231202</td>\n",
       "      <td>2453795</td>\n",
       "      <td>2754985</td>\n",
       "      <td>2714036</td>\n",
       "      <td>...</td>\n",
       "      <td>1938353</td>\n",
       "      <td>1834049</td>\n",
       "      <td>2049197</td>\n",
       "      <td>2506954</td>\n",
       "      <td>2470155</td>\n",
       "      <td>1768910</td>\n",
       "      <td>1804725</td>\n",
       "      <td>1808791</td>\n",
       "      <td>1123803</td>\n",
       "      <td>56584379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22 Piauí</td>\n",
       "      <td>327096</td>\n",
       "      <td>288726</td>\n",
       "      <td>284130</td>\n",
       "      <td>308842</td>\n",
       "      <td>348572</td>\n",
       "      <td>1045207</td>\n",
       "      <td>1208893</td>\n",
       "      <td>1260538</td>\n",
       "      <td>1247873</td>\n",
       "      <td>...</td>\n",
       "      <td>790815</td>\n",
       "      <td>767241</td>\n",
       "      <td>830563</td>\n",
       "      <td>929808</td>\n",
       "      <td>843986</td>\n",
       "      <td>766717</td>\n",
       "      <td>794144</td>\n",
       "      <td>813143</td>\n",
       "      <td>520133</td>\n",
       "      <td>24205309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23 Ceará</td>\n",
       "      <td>708696</td>\n",
       "      <td>731122</td>\n",
       "      <td>894330</td>\n",
       "      <td>1092139</td>\n",
       "      <td>958365</td>\n",
       "      <td>3180674</td>\n",
       "      <td>3403095</td>\n",
       "      <td>3464853</td>\n",
       "      <td>3335843</td>\n",
       "      <td>...</td>\n",
       "      <td>1973183</td>\n",
       "      <td>1875068</td>\n",
       "      <td>2162076</td>\n",
       "      <td>3097412</td>\n",
       "      <td>3090798</td>\n",
       "      <td>2772563</td>\n",
       "      <td>2527779</td>\n",
       "      <td>2596746</td>\n",
       "      <td>1559778</td>\n",
       "      <td>67305775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24 Rio Grande do Norte</td>\n",
       "      <td>192475</td>\n",
       "      <td>257873</td>\n",
       "      <td>303590</td>\n",
       "      <td>308454</td>\n",
       "      <td>299258</td>\n",
       "      <td>983207</td>\n",
       "      <td>1048720</td>\n",
       "      <td>1074655</td>\n",
       "      <td>1068538</td>\n",
       "      <td>...</td>\n",
       "      <td>715550</td>\n",
       "      <td>700617</td>\n",
       "      <td>739553</td>\n",
       "      <td>976055</td>\n",
       "      <td>955413</td>\n",
       "      <td>715152</td>\n",
       "      <td>651844</td>\n",
       "      <td>773048</td>\n",
       "      <td>427102</td>\n",
       "      <td>21737039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>25 Paraíba</td>\n",
       "      <td>-</td>\n",
       "      <td>160631</td>\n",
       "      <td>323476</td>\n",
       "      <td>399938</td>\n",
       "      <td>390460</td>\n",
       "      <td>1294082</td>\n",
       "      <td>1381868</td>\n",
       "      <td>1463207</td>\n",
       "      <td>1404985</td>\n",
       "      <td>...</td>\n",
       "      <td>894610</td>\n",
       "      <td>815971</td>\n",
       "      <td>963126</td>\n",
       "      <td>1185760</td>\n",
       "      <td>1091866</td>\n",
       "      <td>933768</td>\n",
       "      <td>946139</td>\n",
       "      <td>974210</td>\n",
       "      <td>608801</td>\n",
       "      <td>27688567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26 Pernambuco</td>\n",
       "      <td>527256</td>\n",
       "      <td>1191428</td>\n",
       "      <td>1130697</td>\n",
       "      <td>1127214</td>\n",
       "      <td>1121468</td>\n",
       "      <td>2953463</td>\n",
       "      <td>3297620</td>\n",
       "      <td>3308789</td>\n",
       "      <td>3296188</td>\n",
       "      <td>...</td>\n",
       "      <td>2264640</td>\n",
       "      <td>2122509</td>\n",
       "      <td>2334099</td>\n",
       "      <td>3098012</td>\n",
       "      <td>3270650</td>\n",
       "      <td>2643965</td>\n",
       "      <td>2454143</td>\n",
       "      <td>2410864</td>\n",
       "      <td>1536040</td>\n",
       "      <td>69511165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>27 Alagoas</td>\n",
       "      <td>-</td>\n",
       "      <td>178302</td>\n",
       "      <td>299818</td>\n",
       "      <td>304852</td>\n",
       "      <td>329757</td>\n",
       "      <td>1086283</td>\n",
       "      <td>1196604</td>\n",
       "      <td>1247844</td>\n",
       "      <td>1287595</td>\n",
       "      <td>...</td>\n",
       "      <td>736926</td>\n",
       "      <td>747338</td>\n",
       "      <td>840673</td>\n",
       "      <td>1124168</td>\n",
       "      <td>1114133</td>\n",
       "      <td>871125</td>\n",
       "      <td>905807</td>\n",
       "      <td>926598</td>\n",
       "      <td>584861</td>\n",
       "      <td>24915175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>28 Sergipe</td>\n",
       "      <td>-</td>\n",
       "      <td>237617</td>\n",
       "      <td>242572</td>\n",
       "      <td>250807</td>\n",
       "      <td>247439</td>\n",
       "      <td>812313</td>\n",
       "      <td>796246</td>\n",
       "      <td>804610</td>\n",
       "      <td>774545</td>\n",
       "      <td>...</td>\n",
       "      <td>530191</td>\n",
       "      <td>503959</td>\n",
       "      <td>600576</td>\n",
       "      <td>733179</td>\n",
       "      <td>714208</td>\n",
       "      <td>550085</td>\n",
       "      <td>562373</td>\n",
       "      <td>574293</td>\n",
       "      <td>375131</td>\n",
       "      <td>16167894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>29 Bahia</td>\n",
       "      <td>994130</td>\n",
       "      <td>722003</td>\n",
       "      <td>994587</td>\n",
       "      <td>1358301</td>\n",
       "      <td>1484387</td>\n",
       "      <td>4745022</td>\n",
       "      <td>5131168</td>\n",
       "      <td>5641897</td>\n",
       "      <td>5316305</td>\n",
       "      <td>...</td>\n",
       "      <td>3319588</td>\n",
       "      <td>3222132</td>\n",
       "      <td>3568011</td>\n",
       "      <td>4552090</td>\n",
       "      <td>4326712</td>\n",
       "      <td>3231420</td>\n",
       "      <td>3317966</td>\n",
       "      <td>3165767</td>\n",
       "      <td>1933369</td>\n",
       "      <td>104332948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>31 Minas Gerais</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1796982</td>\n",
       "      <td>1813559</td>\n",
       "      <td>6477184</td>\n",
       "      <td>6961244</td>\n",
       "      <td>7888036</td>\n",
       "      <td>6637190</td>\n",
       "      <td>...</td>\n",
       "      <td>4334695</td>\n",
       "      <td>3998586</td>\n",
       "      <td>4784266</td>\n",
       "      <td>5908170</td>\n",
       "      <td>5849587</td>\n",
       "      <td>5192087</td>\n",
       "      <td>5320343</td>\n",
       "      <td>5380265</td>\n",
       "      <td>3396051</td>\n",
       "      <td>133030903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32 Espírito Santo</td>\n",
       "      <td>256603</td>\n",
       "      <td>397685</td>\n",
       "      <td>411887</td>\n",
       "      <td>378316</td>\n",
       "      <td>440462</td>\n",
       "      <td>1141437</td>\n",
       "      <td>1214667</td>\n",
       "      <td>1233262</td>\n",
       "      <td>1176631</td>\n",
       "      <td>...</td>\n",
       "      <td>818355</td>\n",
       "      <td>783980</td>\n",
       "      <td>882253</td>\n",
       "      <td>1221179</td>\n",
       "      <td>1220295</td>\n",
       "      <td>1018857</td>\n",
       "      <td>980208</td>\n",
       "      <td>1042704</td>\n",
       "      <td>697564</td>\n",
       "      <td>25874717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33 Rio de Janeiro</td>\n",
       "      <td>-</td>\n",
       "      <td>906575</td>\n",
       "      <td>779704</td>\n",
       "      <td>1409487</td>\n",
       "      <td>1519764</td>\n",
       "      <td>4872715</td>\n",
       "      <td>5385808</td>\n",
       "      <td>5263389</td>\n",
       "      <td>5118198</td>\n",
       "      <td>...</td>\n",
       "      <td>3271147</td>\n",
       "      <td>3034612</td>\n",
       "      <td>3452853</td>\n",
       "      <td>4792974</td>\n",
       "      <td>4947569</td>\n",
       "      <td>4269415</td>\n",
       "      <td>4170602</td>\n",
       "      <td>3678944</td>\n",
       "      <td>1506798</td>\n",
       "      <td>102583485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>35 São Paulo</td>\n",
       "      <td>-</td>\n",
       "      <td>2694310</td>\n",
       "      <td>2685627</td>\n",
       "      <td>4052597</td>\n",
       "      <td>4325523</td>\n",
       "      <td>12673295</td>\n",
       "      <td>13842017</td>\n",
       "      <td>13526097</td>\n",
       "      <td>12763696</td>\n",
       "      <td>...</td>\n",
       "      <td>9151228</td>\n",
       "      <td>8821199</td>\n",
       "      <td>10297960</td>\n",
       "      <td>13755784</td>\n",
       "      <td>13859265</td>\n",
       "      <td>10615615</td>\n",
       "      <td>11187566</td>\n",
       "      <td>11407247</td>\n",
       "      <td>7249108</td>\n",
       "      <td>277238149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>41 Paraná</td>\n",
       "      <td>-</td>\n",
       "      <td>610367</td>\n",
       "      <td>904583</td>\n",
       "      <td>1258159</td>\n",
       "      <td>1056241</td>\n",
       "      <td>3018261</td>\n",
       "      <td>3750742</td>\n",
       "      <td>3771473</td>\n",
       "      <td>3547068</td>\n",
       "      <td>...</td>\n",
       "      <td>2415754</td>\n",
       "      <td>2330836</td>\n",
       "      <td>2728430</td>\n",
       "      <td>3393790</td>\n",
       "      <td>3425656</td>\n",
       "      <td>2978313</td>\n",
       "      <td>3121299</td>\n",
       "      <td>3143311</td>\n",
       "      <td>2226662</td>\n",
       "      <td>74590280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>42 Santa Catarina</td>\n",
       "      <td>437164</td>\n",
       "      <td>529270</td>\n",
       "      <td>476830</td>\n",
       "      <td>616029</td>\n",
       "      <td>618793</td>\n",
       "      <td>1734001</td>\n",
       "      <td>1908182</td>\n",
       "      <td>1929301</td>\n",
       "      <td>1808394</td>\n",
       "      <td>...</td>\n",
       "      <td>1322747</td>\n",
       "      <td>1277068</td>\n",
       "      <td>1467668</td>\n",
       "      <td>2047870</td>\n",
       "      <td>2066422</td>\n",
       "      <td>1789983</td>\n",
       "      <td>1742437</td>\n",
       "      <td>1933449</td>\n",
       "      <td>1436410</td>\n",
       "      <td>41606715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>43 Rio Grande do Sul</td>\n",
       "      <td>-</td>\n",
       "      <td>1096689</td>\n",
       "      <td>1011888</td>\n",
       "      <td>990645</td>\n",
       "      <td>972207</td>\n",
       "      <td>3397620</td>\n",
       "      <td>3539671</td>\n",
       "      <td>3605219</td>\n",
       "      <td>3443527</td>\n",
       "      <td>...</td>\n",
       "      <td>1972214</td>\n",
       "      <td>1861452</td>\n",
       "      <td>2326594</td>\n",
       "      <td>2980144</td>\n",
       "      <td>2808159</td>\n",
       "      <td>2601252</td>\n",
       "      <td>2633986</td>\n",
       "      <td>2675382</td>\n",
       "      <td>1829584</td>\n",
       "      <td>67951747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50 Mato Grosso do Sul</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>160964</td>\n",
       "      <td>261788</td>\n",
       "      <td>282453</td>\n",
       "      <td>827388</td>\n",
       "      <td>896172</td>\n",
       "      <td>937187</td>\n",
       "      <td>856199</td>\n",
       "      <td>...</td>\n",
       "      <td>647692</td>\n",
       "      <td>639969</td>\n",
       "      <td>792827</td>\n",
       "      <td>1186794</td>\n",
       "      <td>1097563</td>\n",
       "      <td>937525</td>\n",
       "      <td>888047</td>\n",
       "      <td>900946</td>\n",
       "      <td>569408</td>\n",
       "      <td>19569152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>51 Mato Grosso</td>\n",
       "      <td>174627</td>\n",
       "      <td>196972</td>\n",
       "      <td>201338</td>\n",
       "      <td>334670</td>\n",
       "      <td>358484</td>\n",
       "      <td>907069</td>\n",
       "      <td>1091090</td>\n",
       "      <td>1089117</td>\n",
       "      <td>1056545</td>\n",
       "      <td>...</td>\n",
       "      <td>762483</td>\n",
       "      <td>754284</td>\n",
       "      <td>882673</td>\n",
       "      <td>1204418</td>\n",
       "      <td>1218562</td>\n",
       "      <td>1117107</td>\n",
       "      <td>1074008</td>\n",
       "      <td>1053524</td>\n",
       "      <td>657632</td>\n",
       "      <td>23814777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>52 Goiás</td>\n",
       "      <td>209872</td>\n",
       "      <td>590541</td>\n",
       "      <td>574266</td>\n",
       "      <td>591826</td>\n",
       "      <td>634802</td>\n",
       "      <td>1805937</td>\n",
       "      <td>2040674</td>\n",
       "      <td>2069557</td>\n",
       "      <td>2055137</td>\n",
       "      <td>...</td>\n",
       "      <td>1515006</td>\n",
       "      <td>1375687</td>\n",
       "      <td>1637161</td>\n",
       "      <td>2068419</td>\n",
       "      <td>2012864</td>\n",
       "      <td>1808414</td>\n",
       "      <td>1852394</td>\n",
       "      <td>1764350</td>\n",
       "      <td>1139751</td>\n",
       "      <td>44441261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>53 Distrito Federal</td>\n",
       "      <td>-</td>\n",
       "      <td>1297</td>\n",
       "      <td>219000</td>\n",
       "      <td>258032</td>\n",
       "      <td>289995</td>\n",
       "      <td>796601</td>\n",
       "      <td>820415</td>\n",
       "      <td>798164</td>\n",
       "      <td>760178</td>\n",
       "      <td>...</td>\n",
       "      <td>582929</td>\n",
       "      <td>615304</td>\n",
       "      <td>858143</td>\n",
       "      <td>1000131</td>\n",
       "      <td>732494</td>\n",
       "      <td>1331740</td>\n",
       "      <td>910783</td>\n",
       "      <td>887622</td>\n",
       "      <td>609503</td>\n",
       "      <td>19195368</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unidade da Federação    1994     1995     1996     1997     1998  \\\n",
       "0              11 Rondônia  150744   169930   260583   221136   254228   \n",
       "1                  12 Acre   22658    57518    45907    78576    79331   \n",
       "2              13 Amazonas  127265   236612   279674   427850   430178   \n",
       "3               14 Roraima   38382    56559    58502    51558    64159   \n",
       "4                  15 Pará  440625   552664   722825   890749   914640   \n",
       "5                 16 Amapá       -    32559    43911    54202    80449   \n",
       "6             17 Tocantins       -        -   162309   132414   209755   \n",
       "7              21 Maranhão  395000   482285   567243   700146   802799   \n",
       "8                 22 Piauí  327096   288726   284130   308842   348572   \n",
       "9                 23 Ceará  708696   731122   894330  1092139   958365   \n",
       "10  24 Rio Grande do Norte  192475   257873   303590   308454   299258   \n",
       "11              25 Paraíba       -   160631   323476   399938   390460   \n",
       "12           26 Pernambuco  527256  1191428  1130697  1127214  1121468   \n",
       "13              27 Alagoas       -   178302   299818   304852   329757   \n",
       "14              28 Sergipe       -   237617   242572   250807   247439   \n",
       "15                29 Bahia  994130   722003   994587  1358301  1484387   \n",
       "16         31 Minas Gerais       -        -        -  1796982  1813559   \n",
       "17       32 Espírito Santo  256603   397685   411887   378316   440462   \n",
       "18       33 Rio de Janeiro       -   906575   779704  1409487  1519764   \n",
       "19            35 São Paulo       -  2694310  2685627  4052597  4325523   \n",
       "20               41 Paraná       -   610367   904583  1258159  1056241   \n",
       "21       42 Santa Catarina  437164   529270   476830   616029   618793   \n",
       "22    43 Rio Grande do Sul       -  1096689  1011888   990645   972207   \n",
       "23   50 Mato Grosso do Sul       -        -   160964   261788   282453   \n",
       "24          51 Mato Grosso  174627   196972   201338   334670   358484   \n",
       "25                52 Goiás  209872   590541   574266   591826   634802   \n",
       "26     53 Distrito Federal       -     1297   219000   258032   289995   \n",
       "\n",
       "        1999      2000      2001      2002  ...     2011     2012      2013  \\\n",
       "0     511993    595405    634672    603409  ...   435345   427785    487788   \n",
       "1     240690    245193    281863    309201  ...   257132   240469    240916   \n",
       "2    1013496   1198384   1327220   1360736  ...  1090240  1149204   1173912   \n",
       "3     139177    187080    162704    171102  ...   146403   134478    137917   \n",
       "4    2585184   2886309   3182573   3209151  ...  2159285  2120596   2217128   \n",
       "5     205472    232258    342676    256112  ...   200416   201291    235158   \n",
       "6     500080    557200    591184    557207  ...   393544   364498    419059   \n",
       "7    2231202   2453795   2754985   2714036  ...  1938353  1834049   2049197   \n",
       "8    1045207   1208893   1260538   1247873  ...   790815   767241    830563   \n",
       "9    3180674   3403095   3464853   3335843  ...  1973183  1875068   2162076   \n",
       "10    983207   1048720   1074655   1068538  ...   715550   700617    739553   \n",
       "11   1294082   1381868   1463207   1404985  ...   894610   815971    963126   \n",
       "12   2953463   3297620   3308789   3296188  ...  2264640  2122509   2334099   \n",
       "13   1086283   1196604   1247844   1287595  ...   736926   747338    840673   \n",
       "14    812313    796246    804610    774545  ...   530191   503959    600576   \n",
       "15   4745022   5131168   5641897   5316305  ...  3319588  3222132   3568011   \n",
       "16   6477184   6961244   7888036   6637190  ...  4334695  3998586   4784266   \n",
       "17   1141437   1214667   1233262   1176631  ...   818355   783980    882253   \n",
       "18   4872715   5385808   5263389   5118198  ...  3271147  3034612   3452853   \n",
       "19  12673295  13842017  13526097  12763696  ...  9151228  8821199  10297960   \n",
       "20   3018261   3750742   3771473   3547068  ...  2415754  2330836   2728430   \n",
       "21   1734001   1908182   1929301   1808394  ...  1322747  1277068   1467668   \n",
       "22   3397620   3539671   3605219   3443527  ...  1972214  1861452   2326594   \n",
       "23    827388    896172    937187    856199  ...   647692   639969    792827   \n",
       "24    907069   1091090   1089117   1056545  ...   762483   754284    882673   \n",
       "25   1805937   2040674   2069557   2055137  ...  1515006  1375687   1637161   \n",
       "26    796601    820415    798164    760178  ...   582929   615304    858143   \n",
       "\n",
       "        2014      2015      2016      2017      2018     2019      Total  \n",
       "0     664623    692060    619782    580329    554429   344707   13579585  \n",
       "1     254867    294119    259444    265563    266548   183891    6538933  \n",
       "2    1546920   1721877   1404249   1412102   1435823   996366   31196446  \n",
       "3     223255    261569    223781    223177    237162   146819    4334259  \n",
       "4    2577588   2121121   1986047   2067185   1994916  1299432   64447319  \n",
       "5     291264    317476    309878    240586    241570   165800    6025103  \n",
       "6     520696    500465    473930    496697    469306   337453   11640134  \n",
       "7    2506954   2470155   1768910   1804725   1808791  1123803   56584379  \n",
       "8     929808    843986    766717    794144    813143   520133   24205309  \n",
       "9    3097412   3090798   2772563   2527779   2596746  1559778   67305775  \n",
       "10    976055    955413    715152    651844    773048   427102   21737039  \n",
       "11   1185760   1091866    933768    946139    974210   608801   27688567  \n",
       "12   3098012   3270650   2643965   2454143   2410864  1536040   69511165  \n",
       "13   1124168   1114133    871125    905807    926598   584861   24915175  \n",
       "14    733179    714208    550085    562373    574293   375131   16167894  \n",
       "15   4552090   4326712   3231420   3317966   3165767  1933369  104332948  \n",
       "16   5908170   5849587   5192087   5320343   5380265  3396051  133030903  \n",
       "17   1221179   1220295   1018857    980208   1042704   697564   25874717  \n",
       "18   4792974   4947569   4269415   4170602   3678944  1506798  102583485  \n",
       "19  13755784  13859265  10615615  11187566  11407247  7249108  277238149  \n",
       "20   3393790   3425656   2978313   3121299   3143311  2226662   74590280  \n",
       "21   2047870   2066422   1789983   1742437   1933449  1436410   41606715  \n",
       "22   2980144   2808159   2601252   2633986   2675382  1829584   67951747  \n",
       "23   1186794   1097563    937525    888047    900946   569408   19569152  \n",
       "24   1204418   1218562   1117107   1074008   1053524   657632   23814777  \n",
       "25   2068419   2012864   1808414   1852394   1764350  1139751   44441261  \n",
       "26   1000131    732494   1331740    910783    887622   609503   19195368  \n",
       "\n",
       "[27 rows x 28 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano = pd.read_csv(\"../dados/A105755189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=3, sep=\";\", skipfooter=20,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "doses_por_uf_ano"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e18a4a0",
   "metadata": {},
   "source": [
    "Agora que já temos os dados inseridos vamos eliminar os valores ausentes.\n",
    "<br>Nesse caso vamos precisar substituir os \"-\" pelo NaN do Numpy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8712445a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7b257d46",
   "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>Unidade da Federação</th>\n",
       "      <th>1994</th>\n",
       "      <th>1995</th>\n",
       "      <th>1996</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>150744</td>\n",
       "      <td>169930</td>\n",
       "      <td>260583</td>\n",
       "      <td>221136</td>\n",
       "      <td>254228</td>\n",
       "      <td>511993</td>\n",
       "      <td>595405</td>\n",
       "      <td>634672</td>\n",
       "      <td>603409</td>\n",
       "      <td>...</td>\n",
       "      <td>435345</td>\n",
       "      <td>427785</td>\n",
       "      <td>487788</td>\n",
       "      <td>664623</td>\n",
       "      <td>692060</td>\n",
       "      <td>619782</td>\n",
       "      <td>580329</td>\n",
       "      <td>554429</td>\n",
       "      <td>344707</td>\n",
       "      <td>13579585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>22658</td>\n",
       "      <td>57518</td>\n",
       "      <td>45907</td>\n",
       "      <td>78576</td>\n",
       "      <td>79331</td>\n",
       "      <td>240690</td>\n",
       "      <td>245193</td>\n",
       "      <td>281863</td>\n",
       "      <td>309201</td>\n",
       "      <td>...</td>\n",
       "      <td>257132</td>\n",
       "      <td>240469</td>\n",
       "      <td>240916</td>\n",
       "      <td>254867</td>\n",
       "      <td>294119</td>\n",
       "      <td>259444</td>\n",
       "      <td>265563</td>\n",
       "      <td>266548</td>\n",
       "      <td>183891</td>\n",
       "      <td>6538933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>127265</td>\n",
       "      <td>236612</td>\n",
       "      <td>279674</td>\n",
       "      <td>427850</td>\n",
       "      <td>430178</td>\n",
       "      <td>1013496</td>\n",
       "      <td>1198384</td>\n",
       "      <td>1327220</td>\n",
       "      <td>1360736</td>\n",
       "      <td>...</td>\n",
       "      <td>1090240</td>\n",
       "      <td>1149204</td>\n",
       "      <td>1173912</td>\n",
       "      <td>1546920</td>\n",
       "      <td>1721877</td>\n",
       "      <td>1404249</td>\n",
       "      <td>1412102</td>\n",
       "      <td>1435823</td>\n",
       "      <td>996366</td>\n",
       "      <td>31196446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>38382</td>\n",
       "      <td>56559</td>\n",
       "      <td>58502</td>\n",
       "      <td>51558</td>\n",
       "      <td>64159</td>\n",
       "      <td>139177</td>\n",
       "      <td>187080</td>\n",
       "      <td>162704</td>\n",
       "      <td>171102</td>\n",
       "      <td>...</td>\n",
       "      <td>146403</td>\n",
       "      <td>134478</td>\n",
       "      <td>137917</td>\n",
       "      <td>223255</td>\n",
       "      <td>261569</td>\n",
       "      <td>223781</td>\n",
       "      <td>223177</td>\n",
       "      <td>237162</td>\n",
       "      <td>146819</td>\n",
       "      <td>4334259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>440625</td>\n",
       "      <td>552664</td>\n",
       "      <td>722825</td>\n",
       "      <td>890749</td>\n",
       "      <td>914640</td>\n",
       "      <td>2585184</td>\n",
       "      <td>2886309</td>\n",
       "      <td>3182573</td>\n",
       "      <td>3209151</td>\n",
       "      <td>...</td>\n",
       "      <td>2159285</td>\n",
       "      <td>2120596</td>\n",
       "      <td>2217128</td>\n",
       "      <td>2577588</td>\n",
       "      <td>2121121</td>\n",
       "      <td>1986047</td>\n",
       "      <td>2067185</td>\n",
       "      <td>1994916</td>\n",
       "      <td>1299432</td>\n",
       "      <td>64447319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16 Amapá</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32559</td>\n",
       "      <td>43911</td>\n",
       "      <td>54202</td>\n",
       "      <td>80449</td>\n",
       "      <td>205472</td>\n",
       "      <td>232258</td>\n",
       "      <td>342676</td>\n",
       "      <td>256112</td>\n",
       "      <td>...</td>\n",
       "      <td>200416</td>\n",
       "      <td>201291</td>\n",
       "      <td>235158</td>\n",
       "      <td>291264</td>\n",
       "      <td>317476</td>\n",
       "      <td>309878</td>\n",
       "      <td>240586</td>\n",
       "      <td>241570</td>\n",
       "      <td>165800</td>\n",
       "      <td>6025103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>17 Tocantins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162309</td>\n",
       "      <td>132414</td>\n",
       "      <td>209755</td>\n",
       "      <td>500080</td>\n",
       "      <td>557200</td>\n",
       "      <td>591184</td>\n",
       "      <td>557207</td>\n",
       "      <td>...</td>\n",
       "      <td>393544</td>\n",
       "      <td>364498</td>\n",
       "      <td>419059</td>\n",
       "      <td>520696</td>\n",
       "      <td>500465</td>\n",
       "      <td>473930</td>\n",
       "      <td>496697</td>\n",
       "      <td>469306</td>\n",
       "      <td>337453</td>\n",
       "      <td>11640134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21 Maranhão</td>\n",
       "      <td>395000</td>\n",
       "      <td>482285</td>\n",
       "      <td>567243</td>\n",
       "      <td>700146</td>\n",
       "      <td>802799</td>\n",
       "      <td>2231202</td>\n",
       "      <td>2453795</td>\n",
       "      <td>2754985</td>\n",
       "      <td>2714036</td>\n",
       "      <td>...</td>\n",
       "      <td>1938353</td>\n",
       "      <td>1834049</td>\n",
       "      <td>2049197</td>\n",
       "      <td>2506954</td>\n",
       "      <td>2470155</td>\n",
       "      <td>1768910</td>\n",
       "      <td>1804725</td>\n",
       "      <td>1808791</td>\n",
       "      <td>1123803</td>\n",
       "      <td>56584379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22 Piauí</td>\n",
       "      <td>327096</td>\n",
       "      <td>288726</td>\n",
       "      <td>284130</td>\n",
       "      <td>308842</td>\n",
       "      <td>348572</td>\n",
       "      <td>1045207</td>\n",
       "      <td>1208893</td>\n",
       "      <td>1260538</td>\n",
       "      <td>1247873</td>\n",
       "      <td>...</td>\n",
       "      <td>790815</td>\n",
       "      <td>767241</td>\n",
       "      <td>830563</td>\n",
       "      <td>929808</td>\n",
       "      <td>843986</td>\n",
       "      <td>766717</td>\n",
       "      <td>794144</td>\n",
       "      <td>813143</td>\n",
       "      <td>520133</td>\n",
       "      <td>24205309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23 Ceará</td>\n",
       "      <td>708696</td>\n",
       "      <td>731122</td>\n",
       "      <td>894330</td>\n",
       "      <td>1092139</td>\n",
       "      <td>958365</td>\n",
       "      <td>3180674</td>\n",
       "      <td>3403095</td>\n",
       "      <td>3464853</td>\n",
       "      <td>3335843</td>\n",
       "      <td>...</td>\n",
       "      <td>1973183</td>\n",
       "      <td>1875068</td>\n",
       "      <td>2162076</td>\n",
       "      <td>3097412</td>\n",
       "      <td>3090798</td>\n",
       "      <td>2772563</td>\n",
       "      <td>2527779</td>\n",
       "      <td>2596746</td>\n",
       "      <td>1559778</td>\n",
       "      <td>67305775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>24 Rio Grande do Norte</td>\n",
       "      <td>192475</td>\n",
       "      <td>257873</td>\n",
       "      <td>303590</td>\n",
       "      <td>308454</td>\n",
       "      <td>299258</td>\n",
       "      <td>983207</td>\n",
       "      <td>1048720</td>\n",
       "      <td>1074655</td>\n",
       "      <td>1068538</td>\n",
       "      <td>...</td>\n",
       "      <td>715550</td>\n",
       "      <td>700617</td>\n",
       "      <td>739553</td>\n",
       "      <td>976055</td>\n",
       "      <td>955413</td>\n",
       "      <td>715152</td>\n",
       "      <td>651844</td>\n",
       "      <td>773048</td>\n",
       "      <td>427102</td>\n",
       "      <td>21737039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>25 Paraíba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160631</td>\n",
       "      <td>323476</td>\n",
       "      <td>399938</td>\n",
       "      <td>390460</td>\n",
       "      <td>1294082</td>\n",
       "      <td>1381868</td>\n",
       "      <td>1463207</td>\n",
       "      <td>1404985</td>\n",
       "      <td>...</td>\n",
       "      <td>894610</td>\n",
       "      <td>815971</td>\n",
       "      <td>963126</td>\n",
       "      <td>1185760</td>\n",
       "      <td>1091866</td>\n",
       "      <td>933768</td>\n",
       "      <td>946139</td>\n",
       "      <td>974210</td>\n",
       "      <td>608801</td>\n",
       "      <td>27688567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26 Pernambuco</td>\n",
       "      <td>527256</td>\n",
       "      <td>1191428</td>\n",
       "      <td>1130697</td>\n",
       "      <td>1127214</td>\n",
       "      <td>1121468</td>\n",
       "      <td>2953463</td>\n",
       "      <td>3297620</td>\n",
       "      <td>3308789</td>\n",
       "      <td>3296188</td>\n",
       "      <td>...</td>\n",
       "      <td>2264640</td>\n",
       "      <td>2122509</td>\n",
       "      <td>2334099</td>\n",
       "      <td>3098012</td>\n",
       "      <td>3270650</td>\n",
       "      <td>2643965</td>\n",
       "      <td>2454143</td>\n",
       "      <td>2410864</td>\n",
       "      <td>1536040</td>\n",
       "      <td>69511165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>27 Alagoas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178302</td>\n",
       "      <td>299818</td>\n",
       "      <td>304852</td>\n",
       "      <td>329757</td>\n",
       "      <td>1086283</td>\n",
       "      <td>1196604</td>\n",
       "      <td>1247844</td>\n",
       "      <td>1287595</td>\n",
       "      <td>...</td>\n",
       "      <td>736926</td>\n",
       "      <td>747338</td>\n",
       "      <td>840673</td>\n",
       "      <td>1124168</td>\n",
       "      <td>1114133</td>\n",
       "      <td>871125</td>\n",
       "      <td>905807</td>\n",
       "      <td>926598</td>\n",
       "      <td>584861</td>\n",
       "      <td>24915175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>28 Sergipe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>237617</td>\n",
       "      <td>242572</td>\n",
       "      <td>250807</td>\n",
       "      <td>247439</td>\n",
       "      <td>812313</td>\n",
       "      <td>796246</td>\n",
       "      <td>804610</td>\n",
       "      <td>774545</td>\n",
       "      <td>...</td>\n",
       "      <td>530191</td>\n",
       "      <td>503959</td>\n",
       "      <td>600576</td>\n",
       "      <td>733179</td>\n",
       "      <td>714208</td>\n",
       "      <td>550085</td>\n",
       "      <td>562373</td>\n",
       "      <td>574293</td>\n",
       "      <td>375131</td>\n",
       "      <td>16167894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>29 Bahia</td>\n",
       "      <td>994130</td>\n",
       "      <td>722003</td>\n",
       "      <td>994587</td>\n",
       "      <td>1358301</td>\n",
       "      <td>1484387</td>\n",
       "      <td>4745022</td>\n",
       "      <td>5131168</td>\n",
       "      <td>5641897</td>\n",
       "      <td>5316305</td>\n",
       "      <td>...</td>\n",
       "      <td>3319588</td>\n",
       "      <td>3222132</td>\n",
       "      <td>3568011</td>\n",
       "      <td>4552090</td>\n",
       "      <td>4326712</td>\n",
       "      <td>3231420</td>\n",
       "      <td>3317966</td>\n",
       "      <td>3165767</td>\n",
       "      <td>1933369</td>\n",
       "      <td>104332948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>31 Minas Gerais</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1796982</td>\n",
       "      <td>1813559</td>\n",
       "      <td>6477184</td>\n",
       "      <td>6961244</td>\n",
       "      <td>7888036</td>\n",
       "      <td>6637190</td>\n",
       "      <td>...</td>\n",
       "      <td>4334695</td>\n",
       "      <td>3998586</td>\n",
       "      <td>4784266</td>\n",
       "      <td>5908170</td>\n",
       "      <td>5849587</td>\n",
       "      <td>5192087</td>\n",
       "      <td>5320343</td>\n",
       "      <td>5380265</td>\n",
       "      <td>3396051</td>\n",
       "      <td>133030903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32 Espírito Santo</td>\n",
       "      <td>256603</td>\n",
       "      <td>397685</td>\n",
       "      <td>411887</td>\n",
       "      <td>378316</td>\n",
       "      <td>440462</td>\n",
       "      <td>1141437</td>\n",
       "      <td>1214667</td>\n",
       "      <td>1233262</td>\n",
       "      <td>1176631</td>\n",
       "      <td>...</td>\n",
       "      <td>818355</td>\n",
       "      <td>783980</td>\n",
       "      <td>882253</td>\n",
       "      <td>1221179</td>\n",
       "      <td>1220295</td>\n",
       "      <td>1018857</td>\n",
       "      <td>980208</td>\n",
       "      <td>1042704</td>\n",
       "      <td>697564</td>\n",
       "      <td>25874717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33 Rio de Janeiro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>906575</td>\n",
       "      <td>779704</td>\n",
       "      <td>1409487</td>\n",
       "      <td>1519764</td>\n",
       "      <td>4872715</td>\n",
       "      <td>5385808</td>\n",
       "      <td>5263389</td>\n",
       "      <td>5118198</td>\n",
       "      <td>...</td>\n",
       "      <td>3271147</td>\n",
       "      <td>3034612</td>\n",
       "      <td>3452853</td>\n",
       "      <td>4792974</td>\n",
       "      <td>4947569</td>\n",
       "      <td>4269415</td>\n",
       "      <td>4170602</td>\n",
       "      <td>3678944</td>\n",
       "      <td>1506798</td>\n",
       "      <td>102583485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>35 São Paulo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2694310</td>\n",
       "      <td>2685627</td>\n",
       "      <td>4052597</td>\n",
       "      <td>4325523</td>\n",
       "      <td>12673295</td>\n",
       "      <td>13842017</td>\n",
       "      <td>13526097</td>\n",
       "      <td>12763696</td>\n",
       "      <td>...</td>\n",
       "      <td>9151228</td>\n",
       "      <td>8821199</td>\n",
       "      <td>10297960</td>\n",
       "      <td>13755784</td>\n",
       "      <td>13859265</td>\n",
       "      <td>10615615</td>\n",
       "      <td>11187566</td>\n",
       "      <td>11407247</td>\n",
       "      <td>7249108</td>\n",
       "      <td>277238149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>41 Paraná</td>\n",
       "      <td>NaN</td>\n",
       "      <td>610367</td>\n",
       "      <td>904583</td>\n",
       "      <td>1258159</td>\n",
       "      <td>1056241</td>\n",
       "      <td>3018261</td>\n",
       "      <td>3750742</td>\n",
       "      <td>3771473</td>\n",
       "      <td>3547068</td>\n",
       "      <td>...</td>\n",
       "      <td>2415754</td>\n",
       "      <td>2330836</td>\n",
       "      <td>2728430</td>\n",
       "      <td>3393790</td>\n",
       "      <td>3425656</td>\n",
       "      <td>2978313</td>\n",
       "      <td>3121299</td>\n",
       "      <td>3143311</td>\n",
       "      <td>2226662</td>\n",
       "      <td>74590280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>42 Santa Catarina</td>\n",
       "      <td>437164</td>\n",
       "      <td>529270</td>\n",
       "      <td>476830</td>\n",
       "      <td>616029</td>\n",
       "      <td>618793</td>\n",
       "      <td>1734001</td>\n",
       "      <td>1908182</td>\n",
       "      <td>1929301</td>\n",
       "      <td>1808394</td>\n",
       "      <td>...</td>\n",
       "      <td>1322747</td>\n",
       "      <td>1277068</td>\n",
       "      <td>1467668</td>\n",
       "      <td>2047870</td>\n",
       "      <td>2066422</td>\n",
       "      <td>1789983</td>\n",
       "      <td>1742437</td>\n",
       "      <td>1933449</td>\n",
       "      <td>1436410</td>\n",
       "      <td>41606715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>43 Rio Grande do Sul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1096689</td>\n",
       "      <td>1011888</td>\n",
       "      <td>990645</td>\n",
       "      <td>972207</td>\n",
       "      <td>3397620</td>\n",
       "      <td>3539671</td>\n",
       "      <td>3605219</td>\n",
       "      <td>3443527</td>\n",
       "      <td>...</td>\n",
       "      <td>1972214</td>\n",
       "      <td>1861452</td>\n",
       "      <td>2326594</td>\n",
       "      <td>2980144</td>\n",
       "      <td>2808159</td>\n",
       "      <td>2601252</td>\n",
       "      <td>2633986</td>\n",
       "      <td>2675382</td>\n",
       "      <td>1829584</td>\n",
       "      <td>67951747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>50 Mato Grosso do Sul</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>160964</td>\n",
       "      <td>261788</td>\n",
       "      <td>282453</td>\n",
       "      <td>827388</td>\n",
       "      <td>896172</td>\n",
       "      <td>937187</td>\n",
       "      <td>856199</td>\n",
       "      <td>...</td>\n",
       "      <td>647692</td>\n",
       "      <td>639969</td>\n",
       "      <td>792827</td>\n",
       "      <td>1186794</td>\n",
       "      <td>1097563</td>\n",
       "      <td>937525</td>\n",
       "      <td>888047</td>\n",
       "      <td>900946</td>\n",
       "      <td>569408</td>\n",
       "      <td>19569152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>51 Mato Grosso</td>\n",
       "      <td>174627</td>\n",
       "      <td>196972</td>\n",
       "      <td>201338</td>\n",
       "      <td>334670</td>\n",
       "      <td>358484</td>\n",
       "      <td>907069</td>\n",
       "      <td>1091090</td>\n",
       "      <td>1089117</td>\n",
       "      <td>1056545</td>\n",
       "      <td>...</td>\n",
       "      <td>762483</td>\n",
       "      <td>754284</td>\n",
       "      <td>882673</td>\n",
       "      <td>1204418</td>\n",
       "      <td>1218562</td>\n",
       "      <td>1117107</td>\n",
       "      <td>1074008</td>\n",
       "      <td>1053524</td>\n",
       "      <td>657632</td>\n",
       "      <td>23814777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>52 Goiás</td>\n",
       "      <td>209872</td>\n",
       "      <td>590541</td>\n",
       "      <td>574266</td>\n",
       "      <td>591826</td>\n",
       "      <td>634802</td>\n",
       "      <td>1805937</td>\n",
       "      <td>2040674</td>\n",
       "      <td>2069557</td>\n",
       "      <td>2055137</td>\n",
       "      <td>...</td>\n",
       "      <td>1515006</td>\n",
       "      <td>1375687</td>\n",
       "      <td>1637161</td>\n",
       "      <td>2068419</td>\n",
       "      <td>2012864</td>\n",
       "      <td>1808414</td>\n",
       "      <td>1852394</td>\n",
       "      <td>1764350</td>\n",
       "      <td>1139751</td>\n",
       "      <td>44441261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>53 Distrito Federal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1297</td>\n",
       "      <td>219000</td>\n",
       "      <td>258032</td>\n",
       "      <td>289995</td>\n",
       "      <td>796601</td>\n",
       "      <td>820415</td>\n",
       "      <td>798164</td>\n",
       "      <td>760178</td>\n",
       "      <td>...</td>\n",
       "      <td>582929</td>\n",
       "      <td>615304</td>\n",
       "      <td>858143</td>\n",
       "      <td>1000131</td>\n",
       "      <td>732494</td>\n",
       "      <td>1331740</td>\n",
       "      <td>910783</td>\n",
       "      <td>887622</td>\n",
       "      <td>609503</td>\n",
       "      <td>19195368</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unidade da Federação    1994     1995     1996     1997     1998  \\\n",
       "0              11 Rondônia  150744   169930   260583   221136   254228   \n",
       "1                  12 Acre   22658    57518    45907    78576    79331   \n",
       "2              13 Amazonas  127265   236612   279674   427850   430178   \n",
       "3               14 Roraima   38382    56559    58502    51558    64159   \n",
       "4                  15 Pará  440625   552664   722825   890749   914640   \n",
       "5                 16 Amapá     NaN    32559    43911    54202    80449   \n",
       "6             17 Tocantins     NaN      NaN   162309   132414   209755   \n",
       "7              21 Maranhão  395000   482285   567243   700146   802799   \n",
       "8                 22 Piauí  327096   288726   284130   308842   348572   \n",
       "9                 23 Ceará  708696   731122   894330  1092139   958365   \n",
       "10  24 Rio Grande do Norte  192475   257873   303590   308454   299258   \n",
       "11              25 Paraíba     NaN   160631   323476   399938   390460   \n",
       "12           26 Pernambuco  527256  1191428  1130697  1127214  1121468   \n",
       "13              27 Alagoas     NaN   178302   299818   304852   329757   \n",
       "14              28 Sergipe     NaN   237617   242572   250807   247439   \n",
       "15                29 Bahia  994130   722003   994587  1358301  1484387   \n",
       "16         31 Minas Gerais     NaN      NaN      NaN  1796982  1813559   \n",
       "17       32 Espírito Santo  256603   397685   411887   378316   440462   \n",
       "18       33 Rio de Janeiro     NaN   906575   779704  1409487  1519764   \n",
       "19            35 São Paulo     NaN  2694310  2685627  4052597  4325523   \n",
       "20               41 Paraná     NaN   610367   904583  1258159  1056241   \n",
       "21       42 Santa Catarina  437164   529270   476830   616029   618793   \n",
       "22    43 Rio Grande do Sul     NaN  1096689  1011888   990645   972207   \n",
       "23   50 Mato Grosso do Sul     NaN      NaN   160964   261788   282453   \n",
       "24          51 Mato Grosso  174627   196972   201338   334670   358484   \n",
       "25                52 Goiás  209872   590541   574266   591826   634802   \n",
       "26     53 Distrito Federal     NaN     1297   219000   258032   289995   \n",
       "\n",
       "        1999      2000      2001      2002  ...     2011     2012      2013  \\\n",
       "0     511993    595405    634672    603409  ...   435345   427785    487788   \n",
       "1     240690    245193    281863    309201  ...   257132   240469    240916   \n",
       "2    1013496   1198384   1327220   1360736  ...  1090240  1149204   1173912   \n",
       "3     139177    187080    162704    171102  ...   146403   134478    137917   \n",
       "4    2585184   2886309   3182573   3209151  ...  2159285  2120596   2217128   \n",
       "5     205472    232258    342676    256112  ...   200416   201291    235158   \n",
       "6     500080    557200    591184    557207  ...   393544   364498    419059   \n",
       "7    2231202   2453795   2754985   2714036  ...  1938353  1834049   2049197   \n",
       "8    1045207   1208893   1260538   1247873  ...   790815   767241    830563   \n",
       "9    3180674   3403095   3464853   3335843  ...  1973183  1875068   2162076   \n",
       "10    983207   1048720   1074655   1068538  ...   715550   700617    739553   \n",
       "11   1294082   1381868   1463207   1404985  ...   894610   815971    963126   \n",
       "12   2953463   3297620   3308789   3296188  ...  2264640  2122509   2334099   \n",
       "13   1086283   1196604   1247844   1287595  ...   736926   747338    840673   \n",
       "14    812313    796246    804610    774545  ...   530191   503959    600576   \n",
       "15   4745022   5131168   5641897   5316305  ...  3319588  3222132   3568011   \n",
       "16   6477184   6961244   7888036   6637190  ...  4334695  3998586   4784266   \n",
       "17   1141437   1214667   1233262   1176631  ...   818355   783980    882253   \n",
       "18   4872715   5385808   5263389   5118198  ...  3271147  3034612   3452853   \n",
       "19  12673295  13842017  13526097  12763696  ...  9151228  8821199  10297960   \n",
       "20   3018261   3750742   3771473   3547068  ...  2415754  2330836   2728430   \n",
       "21   1734001   1908182   1929301   1808394  ...  1322747  1277068   1467668   \n",
       "22   3397620   3539671   3605219   3443527  ...  1972214  1861452   2326594   \n",
       "23    827388    896172    937187    856199  ...   647692   639969    792827   \n",
       "24    907069   1091090   1089117   1056545  ...   762483   754284    882673   \n",
       "25   1805937   2040674   2069557   2055137  ...  1515006  1375687   1637161   \n",
       "26    796601    820415    798164    760178  ...   582929   615304    858143   \n",
       "\n",
       "        2014      2015      2016      2017      2018     2019      Total  \n",
       "0     664623    692060    619782    580329    554429   344707   13579585  \n",
       "1     254867    294119    259444    265563    266548   183891    6538933  \n",
       "2    1546920   1721877   1404249   1412102   1435823   996366   31196446  \n",
       "3     223255    261569    223781    223177    237162   146819    4334259  \n",
       "4    2577588   2121121   1986047   2067185   1994916  1299432   64447319  \n",
       "5     291264    317476    309878    240586    241570   165800    6025103  \n",
       "6     520696    500465    473930    496697    469306   337453   11640134  \n",
       "7    2506954   2470155   1768910   1804725   1808791  1123803   56584379  \n",
       "8     929808    843986    766717    794144    813143   520133   24205309  \n",
       "9    3097412   3090798   2772563   2527779   2596746  1559778   67305775  \n",
       "10    976055    955413    715152    651844    773048   427102   21737039  \n",
       "11   1185760   1091866    933768    946139    974210   608801   27688567  \n",
       "12   3098012   3270650   2643965   2454143   2410864  1536040   69511165  \n",
       "13   1124168   1114133    871125    905807    926598   584861   24915175  \n",
       "14    733179    714208    550085    562373    574293   375131   16167894  \n",
       "15   4552090   4326712   3231420   3317966   3165767  1933369  104332948  \n",
       "16   5908170   5849587   5192087   5320343   5380265  3396051  133030903  \n",
       "17   1221179   1220295   1018857    980208   1042704   697564   25874717  \n",
       "18   4792974   4947569   4269415   4170602   3678944  1506798  102583485  \n",
       "19  13755784  13859265  10615615  11187566  11407247  7249108  277238149  \n",
       "20   3393790   3425656   2978313   3121299   3143311  2226662   74590280  \n",
       "21   2047870   2066422   1789983   1742437   1933449  1436410   41606715  \n",
       "22   2980144   2808159   2601252   2633986   2675382  1829584   67951747  \n",
       "23   1186794   1097563    937525    888047    900946   569408   19569152  \n",
       "24   1204418   1218562   1117107   1074008   1053524   657632   23814777  \n",
       "25   2068419   2012864   1808414   1852394   1764350  1139751   44441261  \n",
       "26   1000131    732494   1331740    910783    887622   609503   19195368  \n",
       "\n",
       "[27 rows x 28 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano.replace(\"-\", np.nan, inplace=True)\n",
    "doses_por_uf_ano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d7b55647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unidade da Federação     0\n",
       "1994                    12\n",
       "1995                     3\n",
       "1996                     1\n",
       "1997                     0\n",
       "1998                     0\n",
       "1999                     0\n",
       "2000                     0\n",
       "2001                     0\n",
       "2002                     0\n",
       "2003                     0\n",
       "2004                     0\n",
       "2005                     0\n",
       "2006                     0\n",
       "2007                     0\n",
       "2008                     0\n",
       "2009                     0\n",
       "2010                     0\n",
       "2011                     0\n",
       "2012                     0\n",
       "2013                     0\n",
       "2014                     0\n",
       "2015                     0\n",
       "2016                     0\n",
       "2017                     0\n",
       "2018                     0\n",
       "2019                     0\n",
       "Total                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e058147",
   "metadata": {},
   "source": [
    "Temos valores ausentes apenas nos primeiros anos (1994, 1995 e 1996), vamos eliminar essas colunas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "55899314",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>Unidade da Federação</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>...</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>221136</td>\n",
       "      <td>254228</td>\n",
       "      <td>511993</td>\n",
       "      <td>595405</td>\n",
       "      <td>634672</td>\n",
       "      <td>603409</td>\n",
       "      <td>567875</td>\n",
       "      <td>732052</td>\n",
       "      <td>698279</td>\n",
       "      <td>...</td>\n",
       "      <td>435345</td>\n",
       "      <td>427785</td>\n",
       "      <td>487788</td>\n",
       "      <td>664623</td>\n",
       "      <td>692060</td>\n",
       "      <td>619782</td>\n",
       "      <td>580329</td>\n",
       "      <td>554429</td>\n",
       "      <td>344707</td>\n",
       "      <td>13579585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>78576</td>\n",
       "      <td>79331</td>\n",
       "      <td>240690</td>\n",
       "      <td>245193</td>\n",
       "      <td>281863</td>\n",
       "      <td>309201</td>\n",
       "      <td>300787</td>\n",
       "      <td>378766</td>\n",
       "      <td>353552</td>\n",
       "      <td>...</td>\n",
       "      <td>257132</td>\n",
       "      <td>240469</td>\n",
       "      <td>240916</td>\n",
       "      <td>254867</td>\n",
       "      <td>294119</td>\n",
       "      <td>259444</td>\n",
       "      <td>265563</td>\n",
       "      <td>266548</td>\n",
       "      <td>183891</td>\n",
       "      <td>6538933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>427850</td>\n",
       "      <td>430178</td>\n",
       "      <td>1013496</td>\n",
       "      <td>1198384</td>\n",
       "      <td>1327220</td>\n",
       "      <td>1360736</td>\n",
       "      <td>1270370</td>\n",
       "      <td>1581187</td>\n",
       "      <td>1613814</td>\n",
       "      <td>...</td>\n",
       "      <td>1090240</td>\n",
       "      <td>1149204</td>\n",
       "      <td>1173912</td>\n",
       "      <td>1546920</td>\n",
       "      <td>1721877</td>\n",
       "      <td>1404249</td>\n",
       "      <td>1412102</td>\n",
       "      <td>1435823</td>\n",
       "      <td>996366</td>\n",
       "      <td>31196446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>51558</td>\n",
       "      <td>64159</td>\n",
       "      <td>139177</td>\n",
       "      <td>187080</td>\n",
       "      <td>162704</td>\n",
       "      <td>171102</td>\n",
       "      <td>168107</td>\n",
       "      <td>220949</td>\n",
       "      <td>210400</td>\n",
       "      <td>...</td>\n",
       "      <td>146403</td>\n",
       "      <td>134478</td>\n",
       "      <td>137917</td>\n",
       "      <td>223255</td>\n",
       "      <td>261569</td>\n",
       "      <td>223781</td>\n",
       "      <td>223177</td>\n",
       "      <td>237162</td>\n",
       "      <td>146819</td>\n",
       "      <td>4334259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>890749</td>\n",
       "      <td>914640</td>\n",
       "      <td>2585184</td>\n",
       "      <td>2886309</td>\n",
       "      <td>3182573</td>\n",
       "      <td>3209151</td>\n",
       "      <td>3183958</td>\n",
       "      <td>4313926</td>\n",
       "      <td>3928530</td>\n",
       "      <td>...</td>\n",
       "      <td>2159285</td>\n",
       "      <td>2120596</td>\n",
       "      <td>2217128</td>\n",
       "      <td>2577588</td>\n",
       "      <td>2121121</td>\n",
       "      <td>1986047</td>\n",
       "      <td>2067185</td>\n",
       "      <td>1994916</td>\n",
       "      <td>1299432</td>\n",
       "      <td>64447319</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unidade da Federação    1997    1998     1999     2000     2001     2002  \\\n",
       "0          11 Rondônia  221136  254228   511993   595405   634672   603409   \n",
       "1              12 Acre   78576   79331   240690   245193   281863   309201   \n",
       "2          13 Amazonas  427850  430178  1013496  1198384  1327220  1360736   \n",
       "3           14 Roraima   51558   64159   139177   187080   162704   171102   \n",
       "4              15 Pará  890749  914640  2585184  2886309  3182573  3209151   \n",
       "\n",
       "      2003     2004     2005  ...     2011     2012     2013     2014  \\\n",
       "0   567875   732052   698279  ...   435345   427785   487788   664623   \n",
       "1   300787   378766   353552  ...   257132   240469   240916   254867   \n",
       "2  1270370  1581187  1613814  ...  1090240  1149204  1173912  1546920   \n",
       "3   168107   220949   210400  ...   146403   134478   137917   223255   \n",
       "4  3183958  4313926  3928530  ...  2159285  2120596  2217128  2577588   \n",
       "\n",
       "      2015     2016     2017     2018     2019     Total  \n",
       "0   692060   619782   580329   554429   344707  13579585  \n",
       "1   294119   259444   265563   266548   183891   6538933  \n",
       "2  1721877  1404249  1412102  1435823   996366  31196446  \n",
       "3   261569   223781   223177   237162   146819   4334259  \n",
       "4  2121121  1986047  2067185  1994916  1299432  64447319  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano = doses_por_uf_ano.dropna(axis=\"columns\")\n",
    "doses_por_uf_ano.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f183d8f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b9fd159",
   "metadata": {},
   "source": [
    "Além disso também vamos remover a coluna Total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cc0f0e5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th>1997</th>\n",
       "      <th>1998</th>\n",
       "      <th>1999</th>\n",
       "      <th>2000</th>\n",
       "      <th>2001</th>\n",
       "      <th>2002</th>\n",
       "      <th>2003</th>\n",
       "      <th>2004</th>\n",
       "      <th>2005</th>\n",
       "      <th>...</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11 Rondônia</td>\n",
       "      <td>221136</td>\n",
       "      <td>254228</td>\n",
       "      <td>511993</td>\n",
       "      <td>595405</td>\n",
       "      <td>634672</td>\n",
       "      <td>603409</td>\n",
       "      <td>567875</td>\n",
       "      <td>732052</td>\n",
       "      <td>698279</td>\n",
       "      <td>...</td>\n",
       "      <td>647582</td>\n",
       "      <td>435345</td>\n",
       "      <td>427785</td>\n",
       "      <td>487788</td>\n",
       "      <td>664623</td>\n",
       "      <td>692060</td>\n",
       "      <td>619782</td>\n",
       "      <td>580329</td>\n",
       "      <td>554429</td>\n",
       "      <td>344707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12 Acre</td>\n",
       "      <td>78576</td>\n",
       "      <td>79331</td>\n",
       "      <td>240690</td>\n",
       "      <td>245193</td>\n",
       "      <td>281863</td>\n",
       "      <td>309201</td>\n",
       "      <td>300787</td>\n",
       "      <td>378766</td>\n",
       "      <td>353552</td>\n",
       "      <td>...</td>\n",
       "      <td>375827</td>\n",
       "      <td>257132</td>\n",
       "      <td>240469</td>\n",
       "      <td>240916</td>\n",
       "      <td>254867</td>\n",
       "      <td>294119</td>\n",
       "      <td>259444</td>\n",
       "      <td>265563</td>\n",
       "      <td>266548</td>\n",
       "      <td>183891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13 Amazonas</td>\n",
       "      <td>427850</td>\n",
       "      <td>430178</td>\n",
       "      <td>1013496</td>\n",
       "      <td>1198384</td>\n",
       "      <td>1327220</td>\n",
       "      <td>1360736</td>\n",
       "      <td>1270370</td>\n",
       "      <td>1581187</td>\n",
       "      <td>1613814</td>\n",
       "      <td>...</td>\n",
       "      <td>1658753</td>\n",
       "      <td>1090240</td>\n",
       "      <td>1149204</td>\n",
       "      <td>1173912</td>\n",
       "      <td>1546920</td>\n",
       "      <td>1721877</td>\n",
       "      <td>1404249</td>\n",
       "      <td>1412102</td>\n",
       "      <td>1435823</td>\n",
       "      <td>996366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14 Roraima</td>\n",
       "      <td>51558</td>\n",
       "      <td>64159</td>\n",
       "      <td>139177</td>\n",
       "      <td>187080</td>\n",
       "      <td>162704</td>\n",
       "      <td>171102</td>\n",
       "      <td>168107</td>\n",
       "      <td>220949</td>\n",
       "      <td>210400</td>\n",
       "      <td>...</td>\n",
       "      <td>216961</td>\n",
       "      <td>146403</td>\n",
       "      <td>134478</td>\n",
       "      <td>137917</td>\n",
       "      <td>223255</td>\n",
       "      <td>261569</td>\n",
       "      <td>223781</td>\n",
       "      <td>223177</td>\n",
       "      <td>237162</td>\n",
       "      <td>146819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15 Pará</td>\n",
       "      <td>890749</td>\n",
       "      <td>914640</td>\n",
       "      <td>2585184</td>\n",
       "      <td>2886309</td>\n",
       "      <td>3182573</td>\n",
       "      <td>3209151</td>\n",
       "      <td>3183958</td>\n",
       "      <td>4313926</td>\n",
       "      <td>3928530</td>\n",
       "      <td>...</td>\n",
       "      <td>3535221</td>\n",
       "      <td>2159285</td>\n",
       "      <td>2120596</td>\n",
       "      <td>2217128</td>\n",
       "      <td>2577588</td>\n",
       "      <td>2121121</td>\n",
       "      <td>1986047</td>\n",
       "      <td>2067185</td>\n",
       "      <td>1994916</td>\n",
       "      <td>1299432</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unidade da Federação    1997    1998     1999     2000     2001     2002  \\\n",
       "0          11 Rondônia  221136  254228   511993   595405   634672   603409   \n",
       "1              12 Acre   78576   79331   240690   245193   281863   309201   \n",
       "2          13 Amazonas  427850  430178  1013496  1198384  1327220  1360736   \n",
       "3           14 Roraima   51558   64159   139177   187080   162704   171102   \n",
       "4              15 Pará  890749  914640  2585184  2886309  3182573  3209151   \n",
       "\n",
       "      2003     2004     2005  ...     2010     2011     2012     2013  \\\n",
       "0   567875   732052   698279  ...   647582   435345   427785   487788   \n",
       "1   300787   378766   353552  ...   375827   257132   240469   240916   \n",
       "2  1270370  1581187  1613814  ...  1658753  1090240  1149204  1173912   \n",
       "3   168107   220949   210400  ...   216961   146403   134478   137917   \n",
       "4  3183958  4313926  3928530  ...  3535221  2159285  2120596  2217128   \n",
       "\n",
       "      2014     2015     2016     2017     2018     2019  \n",
       "0   664623   692060   619782   580329   554429   344707  \n",
       "1   254867   294119   259444   265563   266548   183891  \n",
       "2  1546920  1721877  1404249  1412102  1435823   996366  \n",
       "3   223255   261569   223781   223177   237162   146819  \n",
       "4  2577588  2121121  1986047  2067185  1994916  1299432  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doses_por_uf_ano = doses_por_uf_ano.drop(\"Total\", axis=\"columns\")\n",
    "doses_por_uf_ano.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "284e6e69",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para utilizarmos mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "68b3815a",
   "metadata": {},
   "outputs": [],
   "source": [
    "doses_por_uf_ano.to_csv(\"../dados/dados limpos/doses_por_uf_ano.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f1fdff0",
   "metadata": {},
   "source": [
    "## População"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f099c6d2",
   "metadata": {},
   "source": [
    "Vamos pegar os dados de população por estado disponíveis no [Wikipédia](https://pt.wikipedia.org/wiki/Lista_de_unidades_federativas_do_Brasil_por_popula%C3%A7%C3%A3o)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "802d0c61",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>População</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>São Paulo</th>\n",
       "      <td>46289333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minas Gerais</th>\n",
       "      <td>21292666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rio de Janeiro</th>\n",
       "      <td>17366189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahia</th>\n",
       "      <td>14930634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paraná</th>\n",
       "      <td>11516840</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      População\n",
       "Unidade da Federação           \n",
       "São Paulo              46289333\n",
       "Minas Gerais           21292666\n",
       "Rio de Janeiro         17366189\n",
       "Bahia                  14930634\n",
       "Paraná                 11516840"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "populacao = pd.read_html('https://pt.wikipedia.org/wiki/Lista_de_unidades_federativas_do_Brasil_por_popula%C3%A7%C3%A3o')\n",
    "populacao = populacao[0]\n",
    "populacao = populacao.drop([\"Posição\", \"% da pop. total\", \"País comparável (habitantes)\"], axis=\"columns\")\n",
    "populacao = populacao.rename({\"Unidade federativa\":\"Unidade da Federação\"}, axis=\"columns\")\n",
    "populacao = populacao.set_index(\"Unidade da Federação\")\n",
    "populacao[\"População\"] = populacao[\"População\"].str.replace(\" \", \"\").astype(\"int\")\n",
    "populacao.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "831e1fc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "populacao.to_csv(\"../dados/dados limpos/populacao.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a33ee410",
   "metadata": {},
   "source": [
    "## Imuno, Cobertura Vacinal e Doses"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35305eaa",
   "metadata": {},
   "source": [
    "Nesse dataset teremos em cada linha o Imuno com uma coluna para a Cobertura Vacinal e outra para o Doses Cáculos CV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cef85ec5",
   "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>Imuno</th>\n",
       "      <th>Coberturas_Vacinais</th>\n",
       "      <th>Doses_Cáculos_CV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>072 BCG</td>\n",
       "      <td>105.82</td>\n",
       "      <td>81684240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>099 Hepatite B  em crianças até 30 dias</td>\n",
       "      <td>68.79</td>\n",
       "      <td>14067937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>061 Rotavírus Humano</td>\n",
       "      <td>58.57</td>\n",
       "      <td>33391981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>053 Meningococo C</td>\n",
       "      <td>61.23</td>\n",
       "      <td>24391126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>073 Hepatite B</td>\n",
       "      <td>78.46</td>\n",
       "      <td>60563803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>080 Penta</td>\n",
       "      <td>77.80</td>\n",
       "      <td>18150707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>012 Pneumocócica</td>\n",
       "      <td>81.04</td>\n",
       "      <td>23575129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>074 Poliomielite</td>\n",
       "      <td>94.18</td>\n",
       "      <td>72702010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100 Poliomielite 4 anos</td>\n",
       "      <td>0.43</td>\n",
       "      <td>13849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>006 Febre Amarela</td>\n",
       "      <td>37.72</td>\n",
       "      <td>28967446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>096 Hepatite A</td>\n",
       "      <td>63.73</td>\n",
       "      <td>13033884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>091 Pneumocócica(1º ref)</td>\n",
       "      <td>80.51</td>\n",
       "      <td>16461738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>092 Meningococo C (1º ref)</td>\n",
       "      <td>82.82</td>\n",
       "      <td>16934519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>093 Poliomielite(1º ref)</td>\n",
       "      <td>76.27</td>\n",
       "      <td>15595236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>021 Tríplice Viral  D1</td>\n",
       "      <td>102.30</td>\n",
       "      <td>61351515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>098 Tríplice Viral  D2</td>\n",
       "      <td>74.23</td>\n",
       "      <td>15180261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>097 Tetra Viral(SRC+VZ)</td>\n",
       "      <td>53.27</td>\n",
       "      <td>10894106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>075 DTP</td>\n",
       "      <td>85.86</td>\n",
       "      <td>66279719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>102 DTP REF (4 e 6 anos)</td>\n",
       "      <td>3.31</td>\n",
       "      <td>900636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>103 Dupla Adulto (dt)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15993679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>095 Tríplice Bacteriana(DTP)(1º ref)</td>\n",
       "      <td>72.52</td>\n",
       "      <td>14830062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>018 Sarampo</td>\n",
       "      <td>85.97</td>\n",
       "      <td>26135326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>009 Haemophilus influenzae b</td>\n",
       "      <td>26.00</td>\n",
       "      <td>7480155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>094 Dupla adulto e tríplice acelular gestante</td>\n",
       "      <td>40.48</td>\n",
       "      <td>8250384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>003 dTpa gestante</td>\n",
       "      <td>33.97</td>\n",
       "      <td>6922916</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Imuno  Coberturas_Vacinais  \\\n",
       "0                                         072 BCG               105.82   \n",
       "1         099 Hepatite B  em crianças até 30 dias                68.79   \n",
       "2                            061 Rotavírus Humano                58.57   \n",
       "3                               053 Meningococo C                61.23   \n",
       "4                                  073 Hepatite B                78.46   \n",
       "5                                       080 Penta                77.80   \n",
       "6                                012 Pneumocócica                81.04   \n",
       "7                                074 Poliomielite                94.18   \n",
       "8                         100 Poliomielite 4 anos                 0.43   \n",
       "9                               006 Febre Amarela                37.72   \n",
       "10                                 096 Hepatite A                63.73   \n",
       "11                       091 Pneumocócica(1º ref)                80.51   \n",
       "12                     092 Meningococo C (1º ref)                82.82   \n",
       "13                       093 Poliomielite(1º ref)                76.27   \n",
       "14                         021 Tríplice Viral  D1               102.30   \n",
       "15                         098 Tríplice Viral  D2                74.23   \n",
       "16                        097 Tetra Viral(SRC+VZ)                53.27   \n",
       "17                                        075 DTP                85.86   \n",
       "18                       102 DTP REF (4 e 6 anos)                 3.31   \n",
       "19                          103 Dupla Adulto (dt)                  NaN   \n",
       "20           095 Tríplice Bacteriana(DTP)(1º ref)                72.52   \n",
       "21                                    018 Sarampo                85.97   \n",
       "22                   009 Haemophilus influenzae b                26.00   \n",
       "23  094 Dupla adulto e tríplice acelular gestante                40.48   \n",
       "24                              003 dTpa gestante                33.97   \n",
       "\n",
       "    Doses_Cáculos_CV  \n",
       "0           81684240  \n",
       "1           14067937  \n",
       "2           33391981  \n",
       "3           24391126  \n",
       "4           60563803  \n",
       "5           18150707  \n",
       "6           23575129  \n",
       "7           72702010  \n",
       "8              13849  \n",
       "9           28967446  \n",
       "10          13033884  \n",
       "11          16461738  \n",
       "12          16934519  \n",
       "13          15595236  \n",
       "14          61351515  \n",
       "15          15180261  \n",
       "16          10894106  \n",
       "17          66279719  \n",
       "18            900636  \n",
       "19          15993679  \n",
       "20          14830062  \n",
       "21          26135326  \n",
       "22           7480155  \n",
       "23           8250384  \n",
       "24           6922916  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses = pd.read_csv(\"../dados/A230802189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=3, sep=\";\", skipfooter=20,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "imuno_cv_doses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "551850a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    1\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6db5d33",
   "metadata": {},
   "source": [
    "A linha relativa a vacina \"103 Dupla Adulto (dt)\" infelizmente está sem os dados da cobertura vacinal. Vamos desconsiderá-lo do nosso estudo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9759944a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    1\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f0076349",
   "metadata": {},
   "outputs": [],
   "source": [
    "imuno_cv_doses = imuno_cv_doses.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "89ed98a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    0\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac984ea7",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para utilizarmos mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "16069951",
   "metadata": {},
   "outputs": [],
   "source": [
    "imuno_cv_doses.to_csv(\"../dados/dados limpos/imuno_cv_doses.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b3b6d21",
   "metadata": {},
   "source": [
    "## Casos Tuberculose"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "262b47e3",
   "metadata": {},
   "source": [
    "Nesse dataset teremos em cada linha o estado, e cada coluna representa um mês e ano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3c27b3d8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2007/Jun</th>\n",
       "      <th>2007/Jul</th>\n",
       "      <th>2007/Ago</th>\n",
       "      <th>2007/Set</th>\n",
       "      <th>2007/Out</th>\n",
       "      <th>2007/Nov</th>\n",
       "      <th>2007/Dez</th>\n",
       "      <th>2008/Jan</th>\n",
       "      <th>2008/Fev</th>\n",
       "      <th>2008/Mar</th>\n",
       "      <th>...</th>\n",
       "      <th>2020/Ago</th>\n",
       "      <th>2020/Set</th>\n",
       "      <th>2020/Out</th>\n",
       "      <th>2020/Nov</th>\n",
       "      <th>2020/Dez</th>\n",
       "      <th>2021/Jan</th>\n",
       "      <th>2021/Fev</th>\n",
       "      <th>2021/Mar</th>\n",
       "      <th>2021/Abr</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11 Rondônia</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Acre</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>2979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14 Roraima</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>33</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>4805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 Amapá</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17 Tocantins</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21 Maranhão</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>23</td>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>21</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>2515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22 Piauí</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23 Ceará</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>28</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>43</td>\n",
       "      <td>40</td>\n",
       "      <td>53</td>\n",
       "      <td>48</td>\n",
       "      <td>32</td>\n",
       "      <td>28</td>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>7657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24 Rio Grande do Norte</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>17</td>\n",
       "      <td>24</td>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>...</td>\n",
       "      <td>25</td>\n",
       "      <td>39</td>\n",
       "      <td>42</td>\n",
       "      <td>33</td>\n",
       "      <td>32</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>4846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25 Paraíba</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "      <td>-</td>\n",
       "      <td>46</td>\n",
       "      <td>42</td>\n",
       "      <td>60</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>31</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "      <td>4594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26 Pernambuco</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>54</td>\n",
       "      <td>79</td>\n",
       "      <td>100</td>\n",
       "      <td>104</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>46</td>\n",
       "      <td>27</td>\n",
       "      <td>35</td>\n",
       "      <td>38</td>\n",
       "      <td>37</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>12762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27 Alagoas</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>19</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>2866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28 Sergipe</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29 Bahia</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>52</td>\n",
       "      <td>103</td>\n",
       "      <td>63</td>\n",
       "      <td>71</td>\n",
       "      <td>...</td>\n",
       "      <td>79</td>\n",
       "      <td>62</td>\n",
       "      <td>81</td>\n",
       "      <td>64</td>\n",
       "      <td>68</td>\n",
       "      <td>73</td>\n",
       "      <td>70</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>14257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31 Minas Gerais</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>37</td>\n",
       "      <td>65</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>...</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>79</td>\n",
       "      <td>73</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>61</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "      <td>12507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32 Espírito Santo</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>1576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33 Rio de Janeiro</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>34</td>\n",
       "      <td>116</td>\n",
       "      <td>155</td>\n",
       "      <td>161</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>116</td>\n",
       "      <td>113</td>\n",
       "      <td>117</td>\n",
       "      <td>81</td>\n",
       "      <td>131</td>\n",
       "      <td>111</td>\n",
       "      <td>99</td>\n",
       "      <td>40</td>\n",
       "      <td>20526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35 São Paulo</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>436</td>\n",
       "      <td>147</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>239</td>\n",
       "      <td>247</td>\n",
       "      <td>254</td>\n",
       "      <td>227</td>\n",
       "      <td>223</td>\n",
       "      <td>250</td>\n",
       "      <td>245</td>\n",
       "      <td>176</td>\n",
       "      <td>103</td>\n",
       "      <td>32996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41 Paraná</th>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>41</td>\n",
       "      <td>32</td>\n",
       "      <td>33</td>\n",
       "      <td>41</td>\n",
       "      <td>33</td>\n",
       "      <td>35</td>\n",
       "      <td>37</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>5801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42 Santa Catarina</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>44</td>\n",
       "      <td>30</td>\n",
       "      <td>33</td>\n",
       "      <td>38</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "      <td>5375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43 Rio Grande do Sul</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>88</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>...</td>\n",
       "      <td>81</td>\n",
       "      <td>88</td>\n",
       "      <td>93</td>\n",
       "      <td>89</td>\n",
       "      <td>71</td>\n",
       "      <td>106</td>\n",
       "      <td>55</td>\n",
       "      <td>32</td>\n",
       "      <td>16</td>\n",
       "      <td>12438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50 Mato Grosso do Sul</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>2660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51 Mato Grosso</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52 Goiás</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>2200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53 Distrito Federal</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>2340</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27 rows × 168 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       2007/Jun 2007/Jul 2007/Ago 2007/Set 2007/Out 2007/Nov  \\\n",
       "Unidade da Federação                                                           \n",
       "11 Rondônia                   -        -        -        -        -        -   \n",
       "12 Acre                       -        -        -        -        -        2   \n",
       "13 Amazonas                   -        1        2        2        6        8   \n",
       "14 Roraima                    -        -        -        -        -        -   \n",
       "15 Pará                       -        -        -        1        1        2   \n",
       "16 Amapá                      1        1        2        1        2        3   \n",
       "17 Tocantins                  -        -        -        -        1        4   \n",
       "21 Maranhão                   -        -        2        1        4       13   \n",
       "22 Piauí                      -        -        -        1        2       12   \n",
       "23 Ceará                      -        -        -        -        -        5   \n",
       "24 Rio Grande do Norte        -        -        -        7       19       20   \n",
       "25 Paraíba                    -        -        -        -        -        5   \n",
       "26 Pernambuco                 -        -        -        1       10       54   \n",
       "27 Alagoas                    -        -        -        -        -        -   \n",
       "28 Sergipe                    -        -        -        -        -        -   \n",
       "29 Bahia                      -        -        1        -        1        6   \n",
       "31 Minas Gerais               -        -        -        3        9       36   \n",
       "32 Espírito Santo             -        -        -        -        -        3   \n",
       "33 Rio de Janeiro             -        -        -        1        2       17   \n",
       "35 São Paulo                  -        -        -        1       12       15   \n",
       "41 Paraná                     1        -        -        -        -        1   \n",
       "42 Santa Catarina             -        -        -        -        3        3   \n",
       "43 Rio Grande do Sul          -        -        -        1       12       32   \n",
       "50 Mato Grosso do Sul         -        -        -        -        3        4   \n",
       "51 Mato Grosso                -        -        -        -        -        1   \n",
       "52 Goiás                      -        -        -        -        -        2   \n",
       "53 Distrito Federal           -        -        -        -        -        2   \n",
       "\n",
       "                       2007/Dez 2008/Jan  2008/Fev 2008/Mar  ...  2020/Ago  \\\n",
       "Unidade da Federação                                         ...             \n",
       "11 Rondônia                   1        2         1        -  ...         9   \n",
       "12 Acre                       3       13         7        8  ...         -   \n",
       "13 Amazonas                  11       12         6       10  ...        12   \n",
       "14 Roraima                    -        -         4        1  ...         8   \n",
       "15 Pará                      15       29        24       19  ...        40   \n",
       "16 Amapá                      1        7         6        2  ...         -   \n",
       "17 Tocantins                  2       10         7        2  ...         4   \n",
       "21 Maranhão                   6        8        14       13  ...        23   \n",
       "22 Piauí                     11       16        13       14  ...         1   \n",
       "23 Ceará                     16       31        28       22  ...        43   \n",
       "24 Rio Grande do Norte       17       24        27       23  ...        25   \n",
       "25 Paraíba                    -       46        42       60  ...        17   \n",
       "26 Pernambuco                79      100       104      115  ...        46   \n",
       "27 Alagoas                    1       11         7        8  ...        19   \n",
       "28 Sergipe                    3        -         1        5  ...         4   \n",
       "29 Bahia                     52      103        63       71  ...        79   \n",
       "31 Minas Gerais              37       65        78       76  ...        64   \n",
       "32 Espírito Santo             7        6        12        9  ...        10   \n",
       "33 Rio de Janeiro            34      116       155      161  ...       100   \n",
       "35 São Paulo                 29      436       147      115  ...       239   \n",
       "41 Paraná                     8       54        60       66  ...        41   \n",
       "42 Santa Catarina             5       23        14       20  ...        36   \n",
       "43 Rio Grande do Sul         38       88        62       63  ...        81   \n",
       "50 Mato Grosso do Sul         6       18        18       20  ...        21   \n",
       "51 Mato Grosso                1       10         5        4  ...         6   \n",
       "52 Goiás                      5       15         4        -  ...         9   \n",
       "53 Distrito Federal          11        8        10       15  ...        16   \n",
       "\n",
       "                        2020/Set 2020/Out  2020/Nov  2020/Dez 2021/Jan  \\\n",
       "Unidade da Federação                                                     \n",
       "11 Rondônia                    8        7         8         9       14   \n",
       "12 Acre                        1        7         6         4        4   \n",
       "13 Amazonas                   10        5         9        14        3   \n",
       "14 Roraima                     9        8        13        10        9   \n",
       "15 Pará                       33       24        28        27       25   \n",
       "16 Amapá                       -        -         3         1        -   \n",
       "17 Tocantins                   5        6         6         3        2   \n",
       "21 Maranhão                   27       23        21        27       29   \n",
       "22 Piauí                       3        4         5         6        7   \n",
       "23 Ceará                      40       53        48        32       28   \n",
       "24 Rio Grande do Norte        39       42        33        32       25   \n",
       "25 Paraíba                    21        6         5        31       26   \n",
       "26 Pernambuco                 27       35        38        37       50   \n",
       "27 Alagoas                    15       19        16        13       12   \n",
       "28 Sergipe                     4        4        10         1        2   \n",
       "29 Bahia                      62       81        64        68       73   \n",
       "31 Minas Gerais               60       79        73        64       60   \n",
       "32 Espírito Santo              9       19         9        24       23   \n",
       "33 Rio de Janeiro            116      113       117        81      131   \n",
       "35 São Paulo                 247      254       227       223      250   \n",
       "41 Paraná                     32       33        41        33       35   \n",
       "42 Santa Catarina             52       44        30        33       38   \n",
       "43 Rio Grande do Sul          88       93        89        71      106   \n",
       "50 Mato Grosso do Sul         25       26        23        22       24   \n",
       "51 Mato Grosso                10        7        14         6        7   \n",
       "52 Goiás                      14       14        14        14       10   \n",
       "53 Distrito Federal           11       19        20        15       15   \n",
       "\n",
       "                        2021/Fev  2021/Mar 2021/Abr  Total  \n",
       "Unidade da Federação                                        \n",
       "11 Rondônia                    5         6        4   1782  \n",
       "12 Acre                        1         1        4    884  \n",
       "13 Amazonas                    7         8        9   2979  \n",
       "14 Roraima                     9        10        3    781  \n",
       "15 Pará                       28        18        6   4805  \n",
       "16 Amapá                       2         -        1    539  \n",
       "17 Tocantins                   2         -        -    876  \n",
       "21 Maranhão                   23        17        8   2515  \n",
       "22 Piauí                       6         4        5   1416  \n",
       "23 Ceará                      17        15        9   7657  \n",
       "24 Rio Grande do Norte        17         5        1   4846  \n",
       "25 Paraíba                    23        18        9   4594  \n",
       "26 Pernambuco                 32        30        8  12762  \n",
       "27 Alagoas                    15         8        8   2866  \n",
       "28 Sergipe                     6         3        1    626  \n",
       "29 Bahia                      70        55       33  14257  \n",
       "31 Minas Gerais               61        37       10  12507  \n",
       "32 Espírito Santo             18        15       12   1576  \n",
       "33 Rio de Janeiro            111        99       40  20526  \n",
       "35 São Paulo                 245       176      103  32996  \n",
       "41 Paraná                     37        12        8   5801  \n",
       "42 Santa Catarina             32        19        8   5375  \n",
       "43 Rio Grande do Sul          55        32       16  12438  \n",
       "50 Mato Grosso do Sul         26        14       11   2660  \n",
       "51 Mato Grosso                 5         6        1   1444  \n",
       "52 Goiás                       8        11        4   2200  \n",
       "53 Distrito Federal           11         6        4   2340  \n",
       "\n",
       "[27 rows x 168 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuberculose = pd.read_csv(\"../dados/A234202189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=4, sep=\";\", skipfooter=12,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "tuberculose = tuberculose.set_index(\"Unidade da Federação\")\n",
    "tuberculose"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30af7dd8",
   "metadata": {},
   "source": [
    "Vamos remover a coluna Total já que ela pode atraplhar no gráficos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b809f7e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "tuberculose = tuberculose.drop(\"Total\", axis=\"columns\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fd1bd8b",
   "metadata": {},
   "source": [
    "Nesse caso, de acordo com a documentação do TABNET, os dados com valores \"-\" devem ser considerados como 0. Vamos fazer essa substituição."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c50e7d44",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2007/Jun</th>\n",
       "      <th>2007/Jul</th>\n",
       "      <th>2007/Ago</th>\n",
       "      <th>2007/Set</th>\n",
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       "      <th>2020/Out</th>\n",
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       "      <th>2021/Abr</th>\n",
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       "      <th>Unidade da Federação</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11 Rondônia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Acre</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>3</td>\n",
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       "      <td>7</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14 Roraima</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>40</td>\n",
       "      <td>33</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 167 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     2007/Jun 2007/Jul 2007/Ago 2007/Set 2007/Out 2007/Nov  \\\n",
       "Unidade da Federação                                                         \n",
       "11 Rondônia                 0        0        0        0        0        0   \n",
       "12 Acre                     0        0        0        0        0        2   \n",
       "13 Amazonas                 0        1        2        2        6        8   \n",
       "14 Roraima                  0        0        0        0        0        0   \n",
       "15 Pará                     0        0        0        1        1        2   \n",
       "\n",
       "                     2007/Dez 2008/Jan  2008/Fev 2008/Mar  ...  2020/Jul  \\\n",
       "Unidade da Federação                                       ...             \n",
       "11 Rondônia                 1        2         1        0  ...        13   \n",
       "12 Acre                     3       13         7        8  ...         4   \n",
       "13 Amazonas                11       12         6       10  ...        11   \n",
       "14 Roraima                  0        0         4        1  ...        17   \n",
       "15 Pará                    15       29        24       19  ...        29   \n",
       "\n",
       "                      2020/Ago 2020/Set  2020/Out  2020/Nov 2020/Dez  \\\n",
       "Unidade da Federação                                                   \n",
       "11 Rondônia                  9        8         7         8        9   \n",
       "12 Acre                      0        1         7         6        4   \n",
       "13 Amazonas                 12       10         5         9       14   \n",
       "14 Roraima                   8        9         8        13       10   \n",
       "15 Pará                     40       33        24        28       27   \n",
       "\n",
       "                      2021/Jan  2021/Fev 2021/Mar  2021/Abr  \n",
       "Unidade da Federação                                         \n",
       "11 Rondônia                 14         5        6         4  \n",
       "12 Acre                      4         1        1         4  \n",
       "13 Amazonas                  3         7        8         9  \n",
       "14 Roraima                   9         9       10         3  \n",
       "15 Pará                     25        28       18         6  \n",
       "\n",
       "[5 rows x 167 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuberculose = tuberculose.replace(\"-\", 0)\n",
    "tuberculose.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b5769a2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2008/Fev     919\n",
       "2008/Abr     931\n",
       "2008/Mai     960\n",
       "2008/Jul    1002\n",
       "2008/Ago    1052\n",
       "            ... \n",
       "2019/Nov    1118\n",
       "2019/Dez    1156\n",
       "2020/Nov     970\n",
       "2020/Dez     901\n",
       "2021/Fev     872\n",
       "Length: 109, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuberculose.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc4af334",
   "metadata": {},
   "source": [
    "Vamos verificar se tem algum dado faltante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b96714ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuberculose.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3804ddf4",
   "metadata": {},
   "source": [
    "Nesse caso não temos nenhum dado faltante. Vamos colocar as colunas como date para facilitar nossa analise mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "70ae9efe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2007-06-01</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14 Roraima</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>29</td>\n",
       "      <td>40</td>\n",
       "      <td>33</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 167 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     2007-06-01 2007-07-01 2007-08-01 2007-09-01 2007-10-01  \\\n",
       "Unidade da Federação                                                          \n",
       "11 Rondônia                   0          0          0          0          0   \n",
       "12 Acre                       0          0          0          0          0   \n",
       "13 Amazonas                   0          1          2          2          6   \n",
       "14 Roraima                    0          0          0          0          0   \n",
       "15 Pará                       0          0          0          1          1   \n",
       "\n",
       "                     2007-11-01 2007-12-01 2008-01-01  2008-02-01 2008-03-01  \\\n",
       "Unidade da Federação                                                           \n",
       "11 Rondônia                   0          1          2           1          0   \n",
       "12 Acre                       2          3         13           7          8   \n",
       "13 Amazonas                   8         11         12           6         10   \n",
       "14 Roraima                    0          0          0           4          1   \n",
       "15 Pará                       2         15         29          24         19   \n",
       "\n",
       "                      ...  2020-07-01  2020-08-01 2020-09-01  2020-10-01  \\\n",
       "Unidade da Federação  ...                                                  \n",
       "11 Rondônia           ...          13           9          8           7   \n",
       "12 Acre               ...           4           0          1           7   \n",
       "13 Amazonas           ...          11          12         10           5   \n",
       "14 Roraima            ...          17           8          9           8   \n",
       "15 Pará               ...          29          40         33          24   \n",
       "\n",
       "                      2020-11-01 2020-12-01  2021-01-01  2021-02-01  \\\n",
       "Unidade da Federação                                                  \n",
       "11 Rondônia                    8          9          14           5   \n",
       "12 Acre                        6          4           4           1   \n",
       "13 Amazonas                    9         14           3           7   \n",
       "14 Roraima                    13         10           9           9   \n",
       "15 Pará                       28         27          25          28   \n",
       "\n",
       "                     2021-03-01  2021-04-01  \n",
       "Unidade da Federação                         \n",
       "11 Rondônia                   6           4  \n",
       "12 Acre                       1           4  \n",
       "13 Amazonas                   8           9  \n",
       "14 Roraima                   10           3  \n",
       "15 Pará                      18           6  \n",
       "\n",
       "[5 rows x 167 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import date\n",
    "\n",
    "meses = {\n",
    "    \"Jan\" : 1,\n",
    "    \"Fev\" : 2,\n",
    "    \"Mar\" : 3,\n",
    "    \"Abr\" : 4,\n",
    "    \"Mai\" : 5,\n",
    "    \"Jun\" : 6,\n",
    "    \"Jul\" : 7,\n",
    "    \"Ago\" : 8,\n",
    "    \"Set\" : 9,\n",
    "    \"Out\" : 10,\n",
    "    \"Nov\" : 11,\n",
    "    \"Dez\" : 12\n",
    "}\n",
    "\n",
    "def para_dia (ano_mes: str):\n",
    "    ano: int = int(ano_mes[:4])\n",
    "    mes = meses[ano_mes[5:]] \n",
    "    return date(ano, mes, 1)\n",
    "\n",
    "tuberculose.columns = tuberculose.columns.map(para_dia)\n",
    "tuberculose.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4ad7af8",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para analisarmos posteriormente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "792f51c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "tuberculose.to_csv(\"../dados/dados limpos/tuberculose.csv\", index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f4a6b03",
   "metadata": {},
   "source": [
    "## Imuno, Cobertura Vacinal e Doses - Bahia"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a74c95c",
   "metadata": {},
   "source": [
    "Nesse dataset teremos em cada linha o Imuno com uma coluna para a Cobertura Vacinal e outra para o Doses Cáculos CV, somente para o estado da Bahia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4f556ef1",
   "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>Imuno</th>\n",
       "      <th>Coberturas_Vacinais</th>\n",
       "      <th>Doses_Cáculos_CV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>072 BCG</td>\n",
       "      <td>101.74</td>\n",
       "      <td>6244833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>099 Hepatite B  em crianças até 30 dias</td>\n",
       "      <td>61.34</td>\n",
       "      <td>882368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>061 Rotavírus Humano</td>\n",
       "      <td>50.68</td>\n",
       "      <td>2178291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>053 Meningococo C</td>\n",
       "      <td>55.34</td>\n",
       "      <td>1701829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>073 Hepatite B</td>\n",
       "      <td>69.59</td>\n",
       "      <td>4271271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>080 Penta</td>\n",
       "      <td>68.17</td>\n",
       "      <td>1129073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>012 Pneumocócica</td>\n",
       "      <td>71.12</td>\n",
       "      <td>1487471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>074 Poliomielite</td>\n",
       "      <td>86.84</td>\n",
       "      <td>5329901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100 Poliomielite 4 anos</td>\n",
       "      <td>0.10</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>006 Febre Amarela</td>\n",
       "      <td>65.43</td>\n",
       "      <td>4016078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>096 Hepatite A</td>\n",
       "      <td>57.83</td>\n",
       "      <td>831921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>091 Pneumocócica(1º ref)</td>\n",
       "      <td>72.84</td>\n",
       "      <td>1047582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>092 Meningococo C (1º ref)</td>\n",
       "      <td>77.15</td>\n",
       "      <td>1109780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>093 Poliomielite(1º ref)</td>\n",
       "      <td>69.47</td>\n",
       "      <td>998796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>021 Tríplice Viral  D1</td>\n",
       "      <td>103.98</td>\n",
       "      <td>4670691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>098 Tríplice Viral  D2</td>\n",
       "      <td>65.76</td>\n",
       "      <td>945957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>097 Tetra Viral(SRC+VZ)</td>\n",
       "      <td>41.28</td>\n",
       "      <td>593866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>075 DTP</td>\n",
       "      <td>80.10</td>\n",
       "      <td>4915893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>102 DTP REF (4 e 6 anos)</td>\n",
       "      <td>3.64</td>\n",
       "      <td>79656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>103 Dupla Adulto (dt)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>968477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>095 Tríplice Bacteriana(DTP)(1º ref)</td>\n",
       "      <td>70.64</td>\n",
       "      <td>1016137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>018 Sarampo</td>\n",
       "      <td>77.27</td>\n",
       "      <td>2088917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>009 Haemophilus influenzae b</td>\n",
       "      <td>22.72</td>\n",
       "      <td>548626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>094 Dupla adulto e tríplice acelular gestante</td>\n",
       "      <td>36.06</td>\n",
       "      <td>516931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>003 dTpa gestante</td>\n",
       "      <td>27.96</td>\n",
       "      <td>400721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Imuno  Coberturas_Vacinais  \\\n",
       "0                                         072 BCG               101.74   \n",
       "1         099 Hepatite B  em crianças até 30 dias                61.34   \n",
       "2                            061 Rotavírus Humano                50.68   \n",
       "3                               053 Meningococo C                55.34   \n",
       "4                                  073 Hepatite B                69.59   \n",
       "5                                       080 Penta                68.17   \n",
       "6                                012 Pneumocócica                71.12   \n",
       "7                                074 Poliomielite                86.84   \n",
       "8                         100 Poliomielite 4 anos                 0.10   \n",
       "9                               006 Febre Amarela                65.43   \n",
       "10                                 096 Hepatite A                57.83   \n",
       "11                       091 Pneumocócica(1º ref)                72.84   \n",
       "12                     092 Meningococo C (1º ref)                77.15   \n",
       "13                       093 Poliomielite(1º ref)                69.47   \n",
       "14                         021 Tríplice Viral  D1               103.98   \n",
       "15                         098 Tríplice Viral  D2                65.76   \n",
       "16                        097 Tetra Viral(SRC+VZ)                41.28   \n",
       "17                                        075 DTP                80.10   \n",
       "18                       102 DTP REF (4 e 6 anos)                 3.64   \n",
       "19                          103 Dupla Adulto (dt)                  NaN   \n",
       "20           095 Tríplice Bacteriana(DTP)(1º ref)                70.64   \n",
       "21                                    018 Sarampo                77.27   \n",
       "22                   009 Haemophilus influenzae b                22.72   \n",
       "23  094 Dupla adulto e tríplice acelular gestante                36.06   \n",
       "24                              003 dTpa gestante                27.96   \n",
       "\n",
       "    Doses_Cáculos_CV  \n",
       "0            6244833  \n",
       "1             882368  \n",
       "2            2178291  \n",
       "3            1701829  \n",
       "4            4271271  \n",
       "5            1129073  \n",
       "6            1487471  \n",
       "7            5329901  \n",
       "8                128  \n",
       "9            4016078  \n",
       "10            831921  \n",
       "11           1047582  \n",
       "12           1109780  \n",
       "13            998796  \n",
       "14           4670691  \n",
       "15            945957  \n",
       "16            593866  \n",
       "17           4915893  \n",
       "18             79656  \n",
       "19            968477  \n",
       "20           1016137  \n",
       "21           2088917  \n",
       "22            548626  \n",
       "23            516931  \n",
       "24            400721  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses_ba = pd.read_csv(\"../dados/A001649189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=4, sep=\";\", skipfooter=20,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "imuno_cv_doses_ba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "949e7d58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    1\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses_ba.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6afc796",
   "metadata": {},
   "source": [
    "A linha relativa a vacina \"103 Dupla Adulto (dt)\" infelizmente está sem os dados da cobertura vacinal. Vamos desconsiderá-lo do nosso estudo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3dddfd06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    1\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses_ba.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "96f38b3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "imuno_cv_doses_ba = imuno_cv_doses_ba.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e0388ec9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Imuno                  0\n",
       "Coberturas_Vacinais    0\n",
       "Doses_Cáculos_CV       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imuno_cv_doses_ba.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "753ac990",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para utilizarmos mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b9a6a4d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "imuno_cv_doses_ba.to_csv(\"../dados/dados limpos/imuno_cv_doses_ba.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "221fd201",
   "metadata": {},
   "source": [
    "## Casos Poliomelite"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41b83350",
   "metadata": {},
   "source": [
    "Nesse dataset teremos em cada linha o estado, e cada coluna representa um mês e ano."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "14e0d471",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>2007/Out</th>\n",
       "      <th>2007/Nov</th>\n",
       "      <th>2007/Dez</th>\n",
       "      <th>2008/Jan</th>\n",
       "      <th>2008/Fev</th>\n",
       "      <th>2008/Mar</th>\n",
       "      <th>2008/Abr</th>\n",
       "      <th>2008/Mai</th>\n",
       "      <th>2008/Jun</th>\n",
       "      <th>2008/Jul</th>\n",
       "      <th>...</th>\n",
       "      <th>2019/Set</th>\n",
       "      <th>2019/Nov</th>\n",
       "      <th>2019/Dez</th>\n",
       "      <th>2020/Jan</th>\n",
       "      <th>2020/Fev</th>\n",
       "      <th>2020/Mar</th>\n",
       "      <th>2020/Mai</th>\n",
       "      <th>2020/Jun</th>\n",
       "      <th>2020/Ago</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11 Rondônia</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Acre</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 Amapá</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17 Tocantins</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21 Maranhão</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22 Piauí</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23 Ceará</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24 Rio Grande do Norte</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25 Paraíba</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26 Pernambuco</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27 Alagoas</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28 Sergipe</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29 Bahia</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31 Minas Gerais</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32 Espírito Santo</th>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33 Rio de Janeiro</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35 São Paulo</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41 Paraná</th>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42 Santa Catarina</th>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43 Rio Grande do Sul</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50 Mato Grosso do Sul</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51 Mato Grosso</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>2</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52 Goiás</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53 Distrito Federal</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26 rows × 109 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       2007/Out 2007/Nov 2007/Dez 2008/Jan 2008/Fev 2008/Mar  \\\n",
       "Unidade da Federação                                                           \n",
       "11 Rondônia                   -        -        -        -        -        -   \n",
       "12 Acre                       -        -        -        -        -        -   \n",
       "13 Amazonas                   -        -        -        -        2        -   \n",
       "15 Pará                       -        -        -        -        -        -   \n",
       "16 Amapá                      -        -        -        -        -        -   \n",
       "17 Tocantins                  -        -        -        1        -        -   \n",
       "21 Maranhão                   -        -        -        -        -        -   \n",
       "22 Piauí                      -        -        -        -        -        -   \n",
       "23 Ceará                      -        -        -        1        -        1   \n",
       "24 Rio Grande do Norte        -        -        -        -        -        -   \n",
       "25 Paraíba                    -        -        -        -        -        -   \n",
       "26 Pernambuco                 -        -        -        -        -        -   \n",
       "27 Alagoas                    -        -        -        -        -        1   \n",
       "28 Sergipe                    -        -        -        1        -        -   \n",
       "29 Bahia                      -        -        -        -        2        -   \n",
       "31 Minas Gerais               -        -        -        1        -        -   \n",
       "32 Espírito Santo             -        1        -        -        -        -   \n",
       "33 Rio de Janeiro             1        1        -        1        -        -   \n",
       "35 São Paulo                  -        -        -        -        -        -   \n",
       "41 Paraná                     -        2        3        1        -        -   \n",
       "42 Santa Catarina             -        1        -        2        2        -   \n",
       "43 Rio Grande do Sul          -        -        -        1        -        -   \n",
       "50 Mato Grosso do Sul         -        -        -        -        -        -   \n",
       "51 Mato Grosso                -        -        2        -        -        -   \n",
       "52 Goiás                      -        -        -        -        -        -   \n",
       "53 Distrito Federal           -        -        -        -        -        -   \n",
       "\n",
       "                       2008/Abr 2008/Mai 2008/Jun 2008/Jul  ... 2019/Set  \\\n",
       "Unidade da Federação                                        ...            \n",
       "11 Rondônia                   -        1        -        -  ...        -   \n",
       "12 Acre                       1        -        -        -  ...        -   \n",
       "13 Amazonas                   -        -        -        -  ...        1   \n",
       "15 Pará                       -        -        1        -  ...        -   \n",
       "16 Amapá                      -        -        -        -  ...        -   \n",
       "17 Tocantins                  1        -        1        1  ...        -   \n",
       "21 Maranhão                   -        -        -        -  ...        -   \n",
       "22 Piauí                      -        -        -        -  ...        -   \n",
       "23 Ceará                      -        -        1        -  ...        -   \n",
       "24 Rio Grande do Norte        -        -        -        -  ...        -   \n",
       "25 Paraíba                    -        -        -        -  ...        -   \n",
       "26 Pernambuco                 -        1        -        -  ...        -   \n",
       "27 Alagoas                    -        -        -        -  ...        -   \n",
       "28 Sergipe                    -        -        -        -  ...        -   \n",
       "29 Bahia                      -        -        -        -  ...        -   \n",
       "31 Minas Gerais               -        -        -        2  ...        -   \n",
       "32 Espírito Santo             -        -        -        -  ...        -   \n",
       "33 Rio de Janeiro             2        -        -        -  ...        -   \n",
       "35 São Paulo                  -        -        1        -  ...        -   \n",
       "41 Paraná                     -        1        -        -  ...        -   \n",
       "42 Santa Catarina             -        -        -        -  ...        1   \n",
       "43 Rio Grande do Sul          -        -        -        -  ...        -   \n",
       "50 Mato Grosso do Sul         -        -        -        -  ...        -   \n",
       "51 Mato Grosso                -        1        -        -  ...        -   \n",
       "52 Goiás                      -        -        -        -  ...        -   \n",
       "53 Distrito Federal           -        -        -        -  ...        -   \n",
       "\n",
       "                       2019/Nov 2019/Dez 2020/Jan 2020/Fev 2020/Mar 2020/Mai  \\\n",
       "Unidade da Federação                                                           \n",
       "11 Rondônia                   -        -        -        -        -        -   \n",
       "12 Acre                       -        -        -        -        -        -   \n",
       "13 Amazonas                   -        -        -        -        -        -   \n",
       "15 Pará                       -        -        -        -        -        -   \n",
       "16 Amapá                      -        -        -        -        -        -   \n",
       "17 Tocantins                  -        -        -        -        -        -   \n",
       "21 Maranhão                   -        1        1        -        -        -   \n",
       "22 Piauí                      -        -        -        -        -        -   \n",
       "23 Ceará                      -        -        -        -        -        -   \n",
       "24 Rio Grande do Norte        -        -        -        -        -        -   \n",
       "25 Paraíba                    -        -        -        -        -        -   \n",
       "26 Pernambuco                 -        -        1        -        -        -   \n",
       "27 Alagoas                    -        -        -        -        -        -   \n",
       "28 Sergipe                    -        -        -        -        1        -   \n",
       "29 Bahia                      -        -        -        -        -        -   \n",
       "31 Minas Gerais               -        -        -        -        -        1   \n",
       "32 Espírito Santo             -        -        -        -        -        -   \n",
       "33 Rio de Janeiro             -        -        -        -        -        -   \n",
       "35 São Paulo                  -        -        -        -        -        -   \n",
       "41 Paraná                     -        -        -        -        -        -   \n",
       "42 Santa Catarina             1        1        -        -        -        -   \n",
       "43 Rio Grande do Sul          -        -        -        -        -        -   \n",
       "50 Mato Grosso do Sul         -        -        -        -        -        -   \n",
       "51 Mato Grosso                -        -        -        1        1        -   \n",
       "52 Goiás                      -        -        -        -        -        -   \n",
       "53 Distrito Federal           -        -        -        -        -        -   \n",
       "\n",
       "                       2020/Jun 2020/Ago Total  \n",
       "Unidade da Federação                            \n",
       "11 Rondônia                   -        -     6  \n",
       "12 Acre                       -        -     3  \n",
       "13 Amazonas                   -        -    19  \n",
       "15 Pará                       -        -     6  \n",
       "16 Amapá                      -        -     2  \n",
       "17 Tocantins                  -        -    13  \n",
       "21 Maranhão                   -        -    10  \n",
       "22 Piauí                      -        1     1  \n",
       "23 Ceará                      -        -     5  \n",
       "24 Rio Grande do Norte        -        -     1  \n",
       "25 Paraíba                    -        -     5  \n",
       "26 Pernambuco                 -        -     8  \n",
       "27 Alagoas                    -        -     2  \n",
       "28 Sergipe                    -        -     2  \n",
       "29 Bahia                      -        1    16  \n",
       "31 Minas Gerais               1        -    31  \n",
       "32 Espírito Santo             -        -    10  \n",
       "33 Rio de Janeiro             -        -    15  \n",
       "35 São Paulo                  -        -    11  \n",
       "41 Paraná                     -        -    20  \n",
       "42 Santa Catarina             -        -    21  \n",
       "43 Rio Grande do Sul          -        -     6  \n",
       "50 Mato Grosso do Sul         -        -     1  \n",
       "51 Mato Grosso                -        -     5  \n",
       "52 Goiás                      -        -     6  \n",
       "53 Distrito Federal           -        -     3  \n",
       "\n",
       "[26 rows x 109 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polio = pd.read_csv(\"../dados/A004247189_28_143_208.csv\",\n",
    "            encoding=\"ISO-8859-1\",\n",
    "            skiprows=4, sep=\";\", skipfooter=12,\n",
    "            thousands=\".\", decimal=\",\", engine=\"python\")\n",
    "polio = polio.set_index(\"Unidade da Federação\")\n",
    "polio"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a77bd5dd",
   "metadata": {},
   "source": [
    "Vamos remover a coluna Total já que ela pode atraplhar no gráficos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a88bb9a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "polio = polio.drop(\"Total\", axis=\"columns\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ede2ff2",
   "metadata": {},
   "source": [
    "Nesse caso, de acordo com a documentação do TABNET, os dados com valores \"-\" devem ser considerados como 0. Vamos fazer essa substituição."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c2728014",
   "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>2007/Out</th>\n",
       "      <th>2007/Nov</th>\n",
       "      <th>2007/Dez</th>\n",
       "      <th>2008/Jan</th>\n",
       "      <th>2008/Fev</th>\n",
       "      <th>2008/Mar</th>\n",
       "      <th>2008/Abr</th>\n",
       "      <th>2008/Mai</th>\n",
       "      <th>2008/Jun</th>\n",
       "      <th>2008/Jul</th>\n",
       "      <th>...</th>\n",
       "      <th>2019/Ago</th>\n",
       "      <th>2019/Set</th>\n",
       "      <th>2019/Nov</th>\n",
       "      <th>2019/Dez</th>\n",
       "      <th>2020/Jan</th>\n",
       "      <th>2020/Fev</th>\n",
       "      <th>2020/Mar</th>\n",
       "      <th>2020/Mai</th>\n",
       "      <th>2020/Jun</th>\n",
       "      <th>2020/Ago</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11 Rondônia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Acre</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 Amapá</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 108 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     2007/Out 2007/Nov 2007/Dez 2008/Jan 2008/Fev 2008/Mar  \\\n",
       "Unidade da Federação                                                         \n",
       "11 Rondônia                 0        0        0        0        0        0   \n",
       "12 Acre                     0        0        0        0        0        0   \n",
       "13 Amazonas                 0        0        0        0        2        0   \n",
       "15 Pará                     0        0        0        0        0        0   \n",
       "16 Amapá                    0        0        0        0        0        0   \n",
       "\n",
       "                     2008/Abr 2008/Mai 2008/Jun 2008/Jul  ... 2019/Ago  \\\n",
       "Unidade da Federação                                      ...            \n",
       "11 Rondônia                 0        1        0        0  ...        0   \n",
       "12 Acre                     1        0        0        0  ...        0   \n",
       "13 Amazonas                 0        0        0        0  ...        0   \n",
       "15 Pará                     0        0        1        0  ...        0   \n",
       "16 Amapá                    0        0        0        0  ...        0   \n",
       "\n",
       "                     2019/Set 2019/Nov 2019/Dez 2020/Jan 2020/Fev 2020/Mar  \\\n",
       "Unidade da Federação                                                         \n",
       "11 Rondônia                 0        0        0        0        0        0   \n",
       "12 Acre                     0        0        0        0        0        0   \n",
       "13 Amazonas                 1        0        0        0        0        0   \n",
       "15 Pará                     0        0        0        0        0        0   \n",
       "16 Amapá                    0        0        0        0        0        0   \n",
       "\n",
       "                     2020/Mai 2020/Jun 2020/Ago  \n",
       "Unidade da Federação                             \n",
       "11 Rondônia                 0        0        0  \n",
       "12 Acre                     0        0        0  \n",
       "13 Amazonas                 0        0        0  \n",
       "15 Pará                     0        0        0  \n",
       "16 Amapá                    0        0        0  \n",
       "\n",
       "[5 rows x 108 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polio = polio.replace(\"-\", 0)\n",
    "polio.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4e6098a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], dtype: float64)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polio.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2586074f",
   "metadata": {},
   "source": [
    "Vamos verificar se tem algum dado faltante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8e7d575f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polio.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60ec5e1d",
   "metadata": {},
   "source": [
    "Nesse caso não temos nenhum dado faltante. Vamos colocar as colunas como date para facilitar nossa analise mais tarde."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "777b0e74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\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>2007-10-01</th>\n",
       "      <th>2007-11-01</th>\n",
       "      <th>2007-12-01</th>\n",
       "      <th>2008-01-01</th>\n",
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       "      <th>2008-06-01</th>\n",
       "      <th>2008-07-01</th>\n",
       "      <th>...</th>\n",
       "      <th>2019-08-01</th>\n",
       "      <th>2019-09-01</th>\n",
       "      <th>2019-11-01</th>\n",
       "      <th>2019-12-01</th>\n",
       "      <th>2020-01-01</th>\n",
       "      <th>2020-02-01</th>\n",
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       "      <th>2020-05-01</th>\n",
       "      <th>2020-06-01</th>\n",
       "      <th>2020-08-01</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unidade da Federação</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11 Rondônia</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Acre</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13 Amazonas</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15 Pará</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16 Amapá</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 108 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     2007-10-01 2007-11-01 2007-12-01 2008-01-01 2008-02-01  \\\n",
       "Unidade da Federação                                                          \n",
       "11 Rondônia                   0          0          0          0          0   \n",
       "12 Acre                       0          0          0          0          0   \n",
       "13 Amazonas                   0          0          0          0          2   \n",
       "15 Pará                       0          0          0          0          0   \n",
       "16 Amapá                      0          0          0          0          0   \n",
       "\n",
       "                     2008-03-01 2008-04-01 2008-05-01 2008-06-01 2008-07-01  \\\n",
       "Unidade da Federação                                                          \n",
       "11 Rondônia                   0          0          1          0          0   \n",
       "12 Acre                       0          1          0          0          0   \n",
       "13 Amazonas                   0          0          0          0          0   \n",
       "15 Pará                       0          0          0          1          0   \n",
       "16 Amapá                      0          0          0          0          0   \n",
       "\n",
       "                      ... 2019-08-01 2019-09-01 2019-11-01 2019-12-01  \\\n",
       "Unidade da Federação  ...                                               \n",
       "11 Rondônia           ...          0          0          0          0   \n",
       "12 Acre               ...          0          0          0          0   \n",
       "13 Amazonas           ...          0          1          0          0   \n",
       "15 Pará               ...          0          0          0          0   \n",
       "16 Amapá              ...          0          0          0          0   \n",
       "\n",
       "                     2020-01-01 2020-02-01 2020-03-01 2020-05-01 2020-06-01  \\\n",
       "Unidade da Federação                                                          \n",
       "11 Rondônia                   0          0          0          0          0   \n",
       "12 Acre                       0          0          0          0          0   \n",
       "13 Amazonas                   0          0          0          0          0   \n",
       "15 Pará                       0          0          0          0          0   \n",
       "16 Amapá                      0          0          0          0          0   \n",
       "\n",
       "                     2020-08-01  \n",
       "Unidade da Federação             \n",
       "11 Rondônia                   0  \n",
       "12 Acre                       0  \n",
       "13 Amazonas                   0  \n",
       "15 Pará                       0  \n",
       "16 Amapá                      0  \n",
       "\n",
       "[5 rows x 108 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "polio.columns = polio.columns.map(para_dia)\n",
    "polio.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75e365eb",
   "metadata": {},
   "source": [
    "Agora vamos salvar o arquivo para analisarmos posteriormente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "14c5adc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "polio.to_csv(\"../dados/dados limpos/polio.csv\", index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe13c43",
   "metadata": {},
   "source": [
    "<html>\n",
    "<head>\n",
    "<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n",
    "</head>\n",
    "<body>\n",
    "\n",
    "<div style=\"text-align:center;\">\n",
    "  <a href=\"./02 - Análise Exploratória - Cobertura Vacinal.ipynb\">Próxima &raquo;</a>\n",
    "</div>\n",
    "\n",
    "  \n",
    "</body>\n",
    "</html> "
   ]
  }
 ],
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