Bootcamp_Data_Science_Aula_1.ipynb

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  "metadata": {
    "colab": {
      "name": "Bootcamp Data Science Aula 1",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPb0cVFO0LsoeUZ7XzeqBI/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/fred-carneiro/bootcamp-alura/blob/main/Bootcamp_Data_Science_Aula_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ICgjMZUtI8oA"
      },
      "source": [
        "Caderno de exploração dos dados do datasus 2008 pra frente\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-QcgKmvpIzI-"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k2_4B4m8JA_8",
        "outputId": "529a659c-bd77-4096-90ed-8377f1f5b2cf"
      },
      "source": [
        "dados = pd.read_csv(\"/content/A123647189_28_143_208.csv\", encoding=\"ISO-8859-1\", skiprows=3, sep=\";\", skipfooter=12, thousands=\".\", decimal=\",\")"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support skipfooter; you can avoid this warning by specifying engine='python'.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "0_xTzR0iJg7H",
        "outputId": "fbc5972e-cad7-4f81-9d20-a0e0b5261dde"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "        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>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>2008/Ago</th>\n",
              "      <th>2008/Set</th>\n",
              "      <th>2008/Out</th>\n",
              "      <th>2008/Nov</th>\n",
              "      <th>2008/Dez</th>\n",
              "      <th>2009/Jan</th>\n",
              "      <th>2009/Fev</th>\n",
              "      <th>2009/Mar</th>\n",
              "      <th>2009/Abr</th>\n",
              "      <th>2009/Mai</th>\n",
              "      <th>2009/Jun</th>\n",
              "      <th>2009/Jul</th>\n",
              "      <th>2009/Ago</th>\n",
              "      <th>2009/Set</th>\n",
              "      <th>2009/Out</th>\n",
              "      <th>2009/Nov</th>\n",
              "      <th>2009/Dez</th>\n",
              "      <th>2010/Jan</th>\n",
              "      <th>2010/Fev</th>\n",
              "      <th>2010/Mar</th>\n",
              "      <th>2010/Abr</th>\n",
              "      <th>2010/Mai</th>\n",
              "      <th>2010/Jun</th>\n",
              "      <th>2010/Jul</th>\n",
              "      <th>2010/Ago</th>\n",
              "      <th>2010/Set</th>\n",
              "      <th>2010/Out</th>\n",
              "      <th>2010/Nov</th>\n",
              "      <th>2010/Dez</th>\n",
              "      <th>2011/Jan</th>\n",
              "      <th>2011/Fev</th>\n",
              "      <th>2011/Mar</th>\n",
              "      <th>...</th>\n",
              "      <th>2018/Jan</th>\n",
              "      <th>2018/Fev</th>\n",
              "      <th>2018/Mar</th>\n",
              "      <th>2018/Abr</th>\n",
              "      <th>2018/Mai</th>\n",
              "      <th>2018/Jun</th>\n",
              "      <th>2018/Jul</th>\n",
              "      <th>2018/Ago</th>\n",
              "      <th>2018/Set</th>\n",
              "      <th>2018/Out</th>\n",
              "      <th>2018/Nov</th>\n",
              "      <th>2018/Dez</th>\n",
              "      <th>2019/Jan</th>\n",
              "      <th>2019/Fev</th>\n",
              "      <th>2019/Mar</th>\n",
              "      <th>2019/Abr</th>\n",
              "      <th>2019/Mai</th>\n",
              "      <th>2019/Jun</th>\n",
              "      <th>2019/Jul</th>\n",
              "      <th>2019/Ago</th>\n",
              "      <th>2019/Set</th>\n",
              "      <th>2019/Out</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/Abr</th>\n",
              "      <th>2020/Mai</th>\n",
              "      <th>2020/Jun</th>\n",
              "      <th>2020/Jul</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>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>11 Rondônia</td>\n",
              "      <td>1388528.39</td>\n",
              "      <td>2931283.42</td>\n",
              "      <td>1541682.52</td>\n",
              "      <td>1525314.96</td>\n",
              "      <td>1645953.84</td>\n",
              "      <td>1406150.68</td>\n",
              "      <td>3065279.01</td>\n",
              "      <td>3231494.61</td>\n",
              "      <td>3117178.63</td>\n",
              "      <td>3068430.44</td>\n",
              "      <td>2825838.52</td>\n",
              "      <td>2931173.58</td>\n",
              "      <td>2885269.07</td>\n",
              "      <td>2860103.74</td>\n",
              "      <td>3684944.68</td>\n",
              "      <td>3607289.68</td>\n",
              "      <td>3774356.60</td>\n",
              "      <td>3706711.84</td>\n",
              "      <td>3763187.55</td>\n",
              "      <td>3533625.83</td>\n",
              "      <td>3605007.43</td>\n",
              "      <td>3907032.72</td>\n",
              "      <td>3939820.71</td>\n",
              "      <td>3901084.11</td>\n",
              "      <td>3684407.02</td>\n",
              "      <td>3623015.58</td>\n",
              "      <td>3890461.90</td>\n",
              "      <td>4193533.87</td>\n",
              "      <td>4534400.67</td>\n",
              "      <td>4451208.03</td>\n",
              "      <td>4874592.78</td>\n",
              "      <td>4460802.38</td>\n",
              "      <td>5067886.24</td>\n",
              "      <td>4511092.85</td>\n",
              "      <td>4394680.50</td>\n",
              "      <td>4098741.80</td>\n",
              "      <td>4411499.48</td>\n",
              "      <td>3868617.95</td>\n",
              "      <td>4298702.78</td>\n",
              "      <td>...</td>\n",
              "      <td>7998345.94</td>\n",
              "      <td>8893683.69</td>\n",
              "      <td>8867793.32</td>\n",
              "      <td>8871408.50</td>\n",
              "      <td>8501601.67</td>\n",
              "      <td>8315107.81</td>\n",
              "      <td>8525499.78</td>\n",
              "      <td>9177611.46</td>\n",
              "      <td>7368996.38</td>\n",
              "      <td>8835095.43</td>\n",
              "      <td>8328186.64</td>\n",
              "      <td>8408512.77</td>\n",
              "      <td>9351705.82</td>\n",
              "      <td>8143007.97</td>\n",
              "      <td>8949741.77</td>\n",
              "      <td>9630553.15</td>\n",
              "      <td>9581970.31</td>\n",
              "      <td>7891114.05</td>\n",
              "      <td>9792370.67</td>\n",
              "      <td>9170787.53</td>\n",
              "      <td>8816846.71</td>\n",
              "      <td>10024554.15</td>\n",
              "      <td>9675423.70</td>\n",
              "      <td>8085025.66</td>\n",
              "      <td>9222010.60</td>\n",
              "      <td>7493901.30</td>\n",
              "      <td>8148169.46</td>\n",
              "      <td>7353768.37</td>\n",
              "      <td>7739864.47</td>\n",
              "      <td>9246097.96</td>\n",
              "      <td>11824687.13</td>\n",
              "      <td>11733307.76</td>\n",
              "      <td>10201985.14</td>\n",
              "      <td>7955139.45</td>\n",
              "      <td>9357946.29</td>\n",
              "      <td>8880836.55</td>\n",
              "      <td>9266014.59</td>\n",
              "      <td>7730597.04</td>\n",
              "      <td>11023309.47</td>\n",
              "      <td>9.964113e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12 Acre</td>\n",
              "      <td>902416.00</td>\n",
              "      <td>1497206.26</td>\n",
              "      <td>1794028.48</td>\n",
              "      <td>1730469.42</td>\n",
              "      <td>1819443.92</td>\n",
              "      <td>1828496.00</td>\n",
              "      <td>2511754.59</td>\n",
              "      <td>2089107.14</td>\n",
              "      <td>2275708.53</td>\n",
              "      <td>1923886.57</td>\n",
              "      <td>1756986.80</td>\n",
              "      <td>2235639.98</td>\n",
              "      <td>2497116.43</td>\n",
              "      <td>2253558.01</td>\n",
              "      <td>2122673.92</td>\n",
              "      <td>2834317.62</td>\n",
              "      <td>2722065.97</td>\n",
              "      <td>2432831.95</td>\n",
              "      <td>2630190.65</td>\n",
              "      <td>2307579.00</td>\n",
              "      <td>-</td>\n",
              "      <td>2826477.02</td>\n",
              "      <td>2170791.18</td>\n",
              "      <td>2541526.44</td>\n",
              "      <td>2491042.33</td>\n",
              "      <td>1954473.90</td>\n",
              "      <td>2389996.38</td>\n",
              "      <td>2654878.60</td>\n",
              "      <td>2844085.21</td>\n",
              "      <td>2336207.19</td>\n",
              "      <td>2125143.06</td>\n",
              "      <td>2430293.67</td>\n",
              "      <td>2377738.44</td>\n",
              "      <td>2184746.84</td>\n",
              "      <td>2468452.90</td>\n",
              "      <td>2516284.54</td>\n",
              "      <td>3051370.08</td>\n",
              "      <td>2629104.42</td>\n",
              "      <td>2485451.79</td>\n",
              "      <td>...</td>\n",
              "      <td>3576595.19</td>\n",
              "      <td>2444567.37</td>\n",
              "      <td>2602434.35</td>\n",
              "      <td>3064163.42</td>\n",
              "      <td>2276236.69</td>\n",
              "      <td>3239474.10</td>\n",
              "      <td>3126429.88</td>\n",
              "      <td>2998865.51</td>\n",
              "      <td>2619709.86</td>\n",
              "      <td>3018048.94</td>\n",
              "      <td>3342614.24</td>\n",
              "      <td>2123426.26</td>\n",
              "      <td>2664654.52</td>\n",
              "      <td>1906429.95</td>\n",
              "      <td>3096439.63</td>\n",
              "      <td>2411628.00</td>\n",
              "      <td>2840630.58</td>\n",
              "      <td>3260153.59</td>\n",
              "      <td>3250722.84</td>\n",
              "      <td>3204998.88</td>\n",
              "      <td>3052745.65</td>\n",
              "      <td>3124802.29</td>\n",
              "      <td>3021521.75</td>\n",
              "      <td>2874871.28</td>\n",
              "      <td>3331803.55</td>\n",
              "      <td>3417691.07</td>\n",
              "      <td>3076003.20</td>\n",
              "      <td>2286642.60</td>\n",
              "      <td>2896340.24</td>\n",
              "      <td>3045245.80</td>\n",
              "      <td>3915193.20</td>\n",
              "      <td>3640142.82</td>\n",
              "      <td>3391242.21</td>\n",
              "      <td>4044321.44</td>\n",
              "      <td>3276590.10</td>\n",
              "      <td>3696997.31</td>\n",
              "      <td>3715723.12</td>\n",
              "      <td>3538427.92</td>\n",
              "      <td>4077045.92</td>\n",
              "      <td>4.500485e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13 Amazonas</td>\n",
              "      <td>4735529.42</td>\n",
              "      <td>7118990.57</td>\n",
              "      <td>8196635.49</td>\n",
              "      <td>8259378.42</td>\n",
              "      <td>7831399.90</td>\n",
              "      <td>8477273.62</td>\n",
              "      <td>9368858.72</td>\n",
              "      <td>9352532.70</td>\n",
              "      <td>9363099.35</td>\n",
              "      <td>8618318.83</td>\n",
              "      <td>6555549.08</td>\n",
              "      <td>7777645.88</td>\n",
              "      <td>7403068.36</td>\n",
              "      <td>6683346.89</td>\n",
              "      <td>9927781.20</td>\n",
              "      <td>8844511.21</td>\n",
              "      <td>9079035.96</td>\n",
              "      <td>8832894.53</td>\n",
              "      <td>9373395.97</td>\n",
              "      <td>9578326.03</td>\n",
              "      <td>9730634.16</td>\n",
              "      <td>9179252.65</td>\n",
              "      <td>8314648.93</td>\n",
              "      <td>9050439.39</td>\n",
              "      <td>9419460.86</td>\n",
              "      <td>8680178.57</td>\n",
              "      <td>9168055.41</td>\n",
              "      <td>9897901.80</td>\n",
              "      <td>9651362.37</td>\n",
              "      <td>10854599.47</td>\n",
              "      <td>10417122.89</td>\n",
              "      <td>8718347.13</td>\n",
              "      <td>8221592.12</td>\n",
              "      <td>9613977.03</td>\n",
              "      <td>9927574.41</td>\n",
              "      <td>9470661.21</td>\n",
              "      <td>9736750.91</td>\n",
              "      <td>8745259.80</td>\n",
              "      <td>9380112.36</td>\n",
              "      <td>...</td>\n",
              "      <td>13572263.03</td>\n",
              "      <td>13083081.70</td>\n",
              "      <td>14322305.22</td>\n",
              "      <td>14643340.51</td>\n",
              "      <td>14632208.09</td>\n",
              "      <td>14500521.14</td>\n",
              "      <td>14840533.42</td>\n",
              "      <td>14427620.91</td>\n",
              "      <td>15818964.25</td>\n",
              "      <td>16358462.57</td>\n",
              "      <td>15391163.74</td>\n",
              "      <td>14154362.85</td>\n",
              "      <td>16791397.31</td>\n",
              "      <td>14369987.43</td>\n",
              "      <td>16339024.96</td>\n",
              "      <td>15622910.63</td>\n",
              "      <td>16483166.92</td>\n",
              "      <td>15422243.28</td>\n",
              "      <td>15961988.04</td>\n",
              "      <td>15787896.78</td>\n",
              "      <td>16515441.67</td>\n",
              "      <td>15788848.91</td>\n",
              "      <td>15784686.14</td>\n",
              "      <td>14388606.82</td>\n",
              "      <td>16063450.73</td>\n",
              "      <td>14939977.20</td>\n",
              "      <td>15107056.74</td>\n",
              "      <td>13534657.88</td>\n",
              "      <td>19698748.89</td>\n",
              "      <td>21129394.43</td>\n",
              "      <td>19769460.14</td>\n",
              "      <td>18059931.43</td>\n",
              "      <td>17841015.63</td>\n",
              "      <td>16408315.10</td>\n",
              "      <td>19895617.91</td>\n",
              "      <td>17765167.69</td>\n",
              "      <td>21430289.17</td>\n",
              "      <td>25917134.55</td>\n",
              "      <td>22032176.22</td>\n",
              "      <td>1.917248e+09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>14 Roraima</td>\n",
              "      <td>657889.53</td>\n",
              "      <td>777939.31</td>\n",
              "      <td>718688.03</td>\n",
              "      <td>839994.39</td>\n",
              "      <td>862347.96</td>\n",
              "      <td>832440.66</td>\n",
              "      <td>996693.09</td>\n",
              "      <td>894271.18</td>\n",
              "      <td>910424.17</td>\n",
              "      <td>1191770.32</td>\n",
              "      <td>1056218.71</td>\n",
              "      <td>1244339.25</td>\n",
              "      <td>1085679.25</td>\n",
              "      <td>969528.54</td>\n",
              "      <td>1393226.70</td>\n",
              "      <td>1273734.17</td>\n",
              "      <td>1552638.50</td>\n",
              "      <td>1490587.74</td>\n",
              "      <td>1596751.80</td>\n",
              "      <td>1848998.68</td>\n",
              "      <td>1701611.25</td>\n",
              "      <td>1164711.18</td>\n",
              "      <td>1434809.17</td>\n",
              "      <td>1603817.28</td>\n",
              "      <td>1437340.80</td>\n",
              "      <td>1332094.01</td>\n",
              "      <td>1900513.75</td>\n",
              "      <td>1933875.49</td>\n",
              "      <td>1773958.29</td>\n",
              "      <td>1804729.73</td>\n",
              "      <td>1846639.32</td>\n",
              "      <td>1643518.23</td>\n",
              "      <td>1843163.29</td>\n",
              "      <td>1807885.17</td>\n",
              "      <td>1674871.65</td>\n",
              "      <td>1250999.28</td>\n",
              "      <td>1257275.43</td>\n",
              "      <td>1171045.72</td>\n",
              "      <td>1389668.67</td>\n",
              "      <td>...</td>\n",
              "      <td>2914195.21</td>\n",
              "      <td>2881281.13</td>\n",
              "      <td>2740423.51</td>\n",
              "      <td>2695484.62</td>\n",
              "      <td>2613895.43</td>\n",
              "      <td>3020718.84</td>\n",
              "      <td>2860584.22</td>\n",
              "      <td>2740088.01</td>\n",
              "      <td>2689103.41</td>\n",
              "      <td>2985029.23</td>\n",
              "      <td>2771881.20</td>\n",
              "      <td>2938769.32</td>\n",
              "      <td>2527888.58</td>\n",
              "      <td>2587642.41</td>\n",
              "      <td>1923440.17</td>\n",
              "      <td>2422446.17</td>\n",
              "      <td>2495491.03</td>\n",
              "      <td>2851291.67</td>\n",
              "      <td>3137537.40</td>\n",
              "      <td>3788154.80</td>\n",
              "      <td>3217218.61</td>\n",
              "      <td>3113940.14</td>\n",
              "      <td>3157977.67</td>\n",
              "      <td>3097113.21</td>\n",
              "      <td>3059823.80</td>\n",
              "      <td>2912519.98</td>\n",
              "      <td>2937346.43</td>\n",
              "      <td>2868820.96</td>\n",
              "      <td>2752228.26</td>\n",
              "      <td>3401864.29</td>\n",
              "      <td>3015488.30</td>\n",
              "      <td>2826486.18</td>\n",
              "      <td>2928043.91</td>\n",
              "      <td>3090313.73</td>\n",
              "      <td>3621031.05</td>\n",
              "      <td>3454460.94</td>\n",
              "      <td>3266928.47</td>\n",
              "      <td>3519773.73</td>\n",
              "      <td>3985530.08</td>\n",
              "      <td>3.288770e+08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>15 Pará</td>\n",
              "      <td>18864744.11</td>\n",
              "      <td>19553758.20</td>\n",
              "      <td>21937342.70</td>\n",
              "      <td>20842829.69</td>\n",
              "      <td>23249952.88</td>\n",
              "      <td>23240687.56</td>\n",
              "      <td>24002223.56</td>\n",
              "      <td>23341218.03</td>\n",
              "      <td>25172261.32</td>\n",
              "      <td>24011712.48</td>\n",
              "      <td>21526303.70</td>\n",
              "      <td>23896804.99</td>\n",
              "      <td>24613320.93</td>\n",
              "      <td>24015940.01</td>\n",
              "      <td>26624310.10</td>\n",
              "      <td>26478979.58</td>\n",
              "      <td>26366401.19</td>\n",
              "      <td>25440701.25</td>\n",
              "      <td>28079331.88</td>\n",
              "      <td>27588522.26</td>\n",
              "      <td>27967969.22</td>\n",
              "      <td>28430631.19</td>\n",
              "      <td>25432419.12</td>\n",
              "      <td>26405862.20</td>\n",
              "      <td>25841889.70</td>\n",
              "      <td>26527192.33</td>\n",
              "      <td>27433129.31</td>\n",
              "      <td>25753868.16</td>\n",
              "      <td>27515463.84</td>\n",
              "      <td>26934203.47</td>\n",
              "      <td>26668195.02</td>\n",
              "      <td>26606749.81</td>\n",
              "      <td>27226660.53</td>\n",
              "      <td>27185706.84</td>\n",
              "      <td>27019994.90</td>\n",
              "      <td>26036033.25</td>\n",
              "      <td>27913374.40</td>\n",
              "      <td>26771060.28</td>\n",
              "      <td>27060396.38</td>\n",
              "      <td>...</td>\n",
              "      <td>31591185.32</td>\n",
              "      <td>31378879.00</td>\n",
              "      <td>32909877.51</td>\n",
              "      <td>35053278.80</td>\n",
              "      <td>33973133.85</td>\n",
              "      <td>35560757.57</td>\n",
              "      <td>33465172.06</td>\n",
              "      <td>35497371.12</td>\n",
              "      <td>34896020.28</td>\n",
              "      <td>37385364.64</td>\n",
              "      <td>34294171.03</td>\n",
              "      <td>34168505.29</td>\n",
              "      <td>33849909.80</td>\n",
              "      <td>32871717.66</td>\n",
              "      <td>33130995.71</td>\n",
              "      <td>36044319.40</td>\n",
              "      <td>35906526.59</td>\n",
              "      <td>35242306.77</td>\n",
              "      <td>29460144.72</td>\n",
              "      <td>31179893.86</td>\n",
              "      <td>34175218.80</td>\n",
              "      <td>36122298.83</td>\n",
              "      <td>36874442.23</td>\n",
              "      <td>35947766.42</td>\n",
              "      <td>34365985.58</td>\n",
              "      <td>37417579.86</td>\n",
              "      <td>35610330.34</td>\n",
              "      <td>28292446.48</td>\n",
              "      <td>32998806.72</td>\n",
              "      <td>42192745.99</td>\n",
              "      <td>40804126.43</td>\n",
              "      <td>44385715.88</td>\n",
              "      <td>36820249.47</td>\n",
              "      <td>36965931.34</td>\n",
              "      <td>39004315.80</td>\n",
              "      <td>38015145.79</td>\n",
              "      <td>38354682.46</td>\n",
              "      <td>37688314.23</td>\n",
              "      <td>33276392.89</td>\n",
              "      <td>4.705309e+09</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 161 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "  Unidade da Federação     2008/Jan  ...     2021/Mar         Total\n",
              "0          11 Rondônia   1388528.39  ...  11023309.47  9.964113e+08\n",
              "1              12 Acre    902416.00  ...   4077045.92  4.500485e+08\n",
              "2          13 Amazonas   4735529.42  ...  22032176.22  1.917248e+09\n",
              "3           14 Roraima    657889.53  ...   3985530.08  3.288770e+08\n",
              "4              15 Pará  18864744.11  ...  33276392.89  4.705309e+09\n",
              "\n",
              "[5 rows x 161 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "En8SX1RwLzVB"
      },
      "source": [
        "pd.options.display.float_format = \"{:.2f}\".format"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FmsL7yTRLUye",
        "outputId": "e7e55e0c-74f2-4c86-c48b-4e0b64388b3f"
      },
      "source": [
        "dados.mean()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2008/Jan     15126846.64\n",
              "2008/Fev     22710158.12\n",
              "2008/Mar     24594187.35\n",
              "2008/Abr     25431957.83\n",
              "2008/Mai     26511245.91\n",
              "                ...     \n",
              "2020/Dez     53377763.15\n",
              "2021/Jan     56073748.02\n",
              "2021/Fev     55578233.31\n",
              "2021/Mar     62502301.42\n",
              "Total      6388213338.48\n",
              "Length: 159, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fcSi7syjMqwX",
        "outputId": "a1dcfd18-d394-49df-aa84-1562c5b5c941"
      },
      "source": [
        "dados[\"2008/Ago\"].mean()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "27800320.306666665"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 566
        },
        "id": "j7fI6r33E8_f",
        "outputId": "af6c3391-90c9-4009-d141-2b1f131bee03"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker\n",
        "\n",
        "ax = dados.plot(x=\"Unidade da Federação\", y=\"2008/Ago\", kind=\"bar\", figsize=(15,7))\n",
        "ax.yaxis.set_major_formatter(ticker.StrMethodFormatter(\"{x:,.2f}\"))\n",
        "plt.title(\"Internações por unidade da federação\")\n",
        "plt.show()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ECROYMGEC1113HTNmzGDhwoWMHz+eH//4x8yYMQOAY489lt13350999yT0047jUsvvRSAE044gT322IP999+ft73tbbztbW/jPe95D9dffz2TJ08G4NZbb2X06NHsvPPOa+d/17vexQMPPMDy5cuZNWsWp512GhMmTOC5555j2223BeCMM87glVdeYf/99+ekk07iyiuvZIsttuj3a4/Gz8jR4Ghra8v29vahXoYkSZKkJh588MG1NxfaWB155JHMmTNn7U2Y1uXZZ59lq622AqrPVV2+fPnaz23tiWbvZ0TcmZltzfr7OamSJEnaIPXnsyt78jmV0sZs4cKFPe577bXX8sUvfpE1a9aw2267ceWVVw7cwjCkSpIkSZLW4aSTTuKkk04atPm8JlWSJEmSVBuGVEmSJEnqwnv3tEZf3kdDqiRJkiQ12HLLLVm5cqVBtZ8yk5UrV7Llllv2apzXpEqSJElSgzFjxrB06VJWrFgx1EvZ4G255ZaMGTOmV2MMqZIkSZLUYLPNNmPcuHFDvYxNltt9JUmSJEm1YUiVJEmSJNWGIVWSJEmSVBuGVEmSJElSbRhSJUmSJEm1YUiVJEmSJNWGIVWSJEmSVBuGVEmSJElSbRhSJUmSJEm1sd6QGhFXRMQTEXFfQ9tVEXF3+VocEXeX9rER8aeGY1/tpua4iFgUER2l1ualfYvyvKMcH9sw5pzS/lBEHN1N3YMj4t7S76KIiNK+Q0QsjIiHy/ftS3uUfh0RcU9EHNSKupIkSZKkvunJmdQrgcmNDZl5UmZOyMwJwHeA7zYcfqTzWGZ+spuaFwAXZuaewGpgemmfDqwu7ReWfkTEPsBUYN+ylksjYliTupcBpwHjy1fnumcAN2bmeODG8hzgmIa+p5fxzfS2riRJkiSpD9YbUjPzJ8CqZsfKGcUTgbk9nbCMORy4ujTNBt5bHk8pzynHjyj9pwDzMvOFzPwN0AFM7FJ3FLBNZt6WmQnM6aZu1/nmZOU2YLtSp791JUmSJEl90N9rUt8JPJ6ZDze0jYuIuyLiloh4Z5MxOwJPZuaa8nwpMLo8Hg0sASjHnyr917Y3GUPD2KXd9BmZmcvL498DI7vO1+K6rxERp0dEe0S0r1ixortukiRJkrRJ629IPZlXn0VdDuyamQcCZwPfjoht+jlHS5WzoTnYdTPz8sxsy8y2ESNGtHp6SZIkSdoo9DmkRsRw4P3AVZ1tZTvuyvL4TuAR4C1dhq6k2lY7vDwfAywrj5cBuzTU37b0X9veZAwNY8d00+fxzm285fsTXedrcV1JkiRJUh/050zqXwG/ysy1W2EjYkTnDY0iYneqmww9Wp7PiYiJ5YzjzcAJZdg04JryeEF5Tjl+U+m/AJha7v47rtS9vdS9MSJGl223T0fEpHId6ynd1O063ynlLr+TgKcatu8C0Me6kiRJkqQ+6MlH0MwFfgHsFRFLI6LzTrxTee0Nk94F3FM+kuZq4JOZ2XnTpQOAx8rjzwJnR0QH1TWns0r7LGDH0n425W65mXk/MB94APgh8KnMfDkiXgfsyZ9v7HQG8A2qGys9Alxf2mcCR0bEw1ThemZpv44qRHcAXy/jO1/33Q2vq7d1JUmSJEl9ENWJygGepLoudVZmfrDFdfcDPp6ZZ7ey7kBra2vL9vb2oV6GJEnSBm3sjGv7PHbxzONauBJJvRURd2ZmW7Njw5s1tlpmPg20NKCWuvdRnXGVJEmSJG0E+nt3X0mSJEmSWsaQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk21htSI+KKiHgiIu5raPt8RCyLiLvL17ENx86JiI6IeCgiju6m5sERcW/pd1FERGnfISIWRsTD5fv2pT1Kv46IuCciDuqm7uQyb0dEzGhoHxcRi0r7VRGxeWnfojzvKMfHtqKuJEmSJKlvenIm9UpgcpP2CzNzQvm6DiAi9gGmAvuWMZdGxLAmYy8DTgPGl6/O+jOAGzNzPHBjeQ5wTEPf08v4VynzXFL67gOcXNYDcEFZ757AamB6aZ8OrC7tF5Z+ragrSZIkSeqD9YbUzPwJsKqH9aYA8zLzhcz8DdABTGzsEBGjgG0y87bMTGAO8N6G8bPL49ld2udk5TZgu1Kn0USgIzMfzcwXgXnAlHKW9nDg6m7qds53NXBE51ndftaVJEmSJPVBf65JPbNsvb2ic1suMBpY0tBnaWlrNLq0N+szMjOXl8e/B0b2sm6zPjsCT2bmmiZj144px58q/ftb9zUi4vSIaI+I9hUrVnTXTZIkSZI2aX0NqZcBewATgOXAl1q2oqKcZc1W1x0qmXl5ZrZlZtuIESOGejmSJEmSVEt9CqmZ+XhmvpyZrwBf589bepcBuzR0HVPaGi0r7c36PN65jbd8f6KXdZv1WUm1PXh4k7Frx5Tj25b+/a0rSZIkSeqDPoXULteDvg/ovPPvAmBquWvuOKobHd1extwYEaPLdt6nI2JSua7zFOCahvHTyuNpXdpPKXf5nQQ81bktOCJ+VfrcAYwvd9zdnOoGTgvKGdmbgRO6qds53wnATaV/o77UlSRJkiT1wfD1dYiIucChwE4RsRQ4Fzg0IiZQbcddDHwCIDPvj4j5wAPAGuBTmflyRLwO2JM/34DpDKq7Br8euL58AcwE5kfEdOC3wIml/TrgWKobMf0ROLWsbScgytxrIuJM4AZgGHBFZt5fxn8WmBcR5wN3AbNK+yzgmxHRUdY2tdTdGfhGZh7bx7qSJEmSpD6I1544HIBJIvYDPp6ZZ7e47ruB3TPzolbWHWhtbW3Z3t4+1MuQJEnaoI2dcW2fxy6eeVwLVyKptyLizsxsa3ZsvWdSWyEz7wNaGlBL3R+0uqYkSZIkaej05yNoJEmSJElqKUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNpYb0iNiCsi4omIuK+h7Z8j4lcRcU9EfC8itivtYyPiTxFxd/n6ajc1x0XEoojoiIirImLz0r5Fed5Rjo9tGHNOaX8oIo7upu7BEXFv6XdRRERp3yEiFkbEw+X79qU9Sr+O8loOakVdSZIkSVLf9ORM6pXA5C5tC4H9MvMA4NfAOQ3HHsnMCeXrk93UvAC4MDP3BFYD00v7dGB1ab+w9CMi9gGmAvuWtVwaEcOa1L0MOA0YX7461z0DuDEzxwM3lucAxzT0Pb2Mb6a3dSVJkiRJfbDekJqZPwFWdWn7UWauKU9vA8b0dMJyFvJw4OrSNBt4b3k8pTynHD+i9J8CzMvMFzLzN0AHMLFL3VHANpl5W2YmMKebul3nm5OV24DtSp3+1pUkSZIk9UErrkn9OHB9w/NxEXFXRNwSEe9s0n9H4MmGkLsUGF0ejwaWAJTjT5X+a9ubjKFh7NJu+ozMzOXl8e+BkV3na3Hd14iI0yOiPSLaV6xY0V03SZIkSdqk9SukRsT/ANYA3ypNy4FdM/NA4Gzg2xGxTf+W2FrlbGgOdt3MvDwz2zKzbcSIEa2eXpIkSZI2Cn0OqRHxMeDdwIdLQKNsx11ZHt8JPAK8pcvQlVTbaoeX52OAZeXxMmCXUn84sG3pv7a9yRgaxo7pps/jndt4y/cnus7X4rqSJEmSpD7oU0iNiMnAZ4DjM/OPDe0jOm9oFBG7U91k6NHyfE5ETCyB9mbghDJsGnBNebygPKccv6n0XwBMLXf/HVfq3l7q3hgRo8u226cjYlK5jvWUbup2ne+UcpffScBTDdt3AehjXUmSJElSHwxfX4eImAscCuwUEUuBc6nu5rsFsLB8Gstt5U6+7wLOi4iXgFeAT2Zm502XDgAeK48/C8yLiPOBu4BZpX0W8M2I6KC6WdNUgMy8PyLmAw9QbS/+VGa+HBGvA/bkzzd2OoPqbsSvp7pOtvNa2ZnA/IiYDvwWOLG0XwccS3Ujpj8Cpza87rszc0If60qSJEmS+iDKTt2BnaS6LnVWZn6wxXX3Az6emWe3su5Aa2try/b29qFehiRJ0gZt7Ixr+zx28czjWrgSSb0VEXdmZluzY+s9k9oKmfk00NKAWureR3WDJkmSJEnSRqAVH0EjSZIkSVJLGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1YYhVZIkSZJUG4ZUSZIkSVJtGFIlSZIkSbVhSJUkSZIk1UaPQmpEXBERT0TEfQ1tO0TEwoh4uHzfvrRHRFwUER0RcU9EHNRNzckR8VDpN6OhfVxELCrtV0XE5qV9i/K8oxwf203daWVND0fEtIb2gyPi3jL+ooiIdb2O/taVJEmSJPVeT8+kXglM7tI2A7gxM8cDN5bnAMcA48vX6cBlXYtFxDDgktJ3H+DkiNinHL4AuDAz9wRWA9NL+3RgdWm/sPTrWncH4FzgEGAicG5D6LwMOK1hbZ2vp7vX0d+6kiRJkqRe6lFIzcyfAKu6NE8BZpfHs4H3NrTPycptwHYRMarL2IlAR2Y+mpkvAvOAKeUs5OHA1d3U7ZzvauCIJmctjwYWZuaqzFwNLAQml/m3yczbMjOBOd3UbZyvv3UlSZIkSb3Un2tSR2bm8vL498DI8ng0sKSh39LS1qi7PjsCT2bmmiZj144px58q/XtSd3R53GxN3b2O/tZ9lYg4PSLaI6J9xYoVzbpIkiRJ0iavJTdOKmcRsxW1htJAvo7MvDwz2zKzbcSIEQMxhSRJkiRt8PoTUh/v3MZbvj9R2pcBuzT0G1PaGnXXZyXV9uDhTcauHVOOb1v696TusvK42Zq6ex39rStJkiRJ6qX+hNQFQOddbqcB1zS0n1Lu8jsJeKpzO21E/Kr0uQMYX+7kuzkwFVhQzmTeDJzQTd3O+U4AbsrMjIjREXFjab8BOCoiti83NjoKuKHM/3RETCrXsZ7STd3G+Rr1pa4kSZIkqZd6+hE0c4FfAHtFxNKImA7MBI6MiIeBvyrPAa4DHgU6gK8DZ5QaOwEBa68pPZMq/D0IzM/M+8v4zwJnR0QH1TWns0r7LGDH0n42f74L7yhgTam7CvgHqhB8B3BeaaOs4xtlXSup7N4AACAASURBVI8A15f2pq8jItoi4hv9qCtJkiRJ6qWoTl4OwkQR7wZ2z8yLWlz3TOB3mbmglXUHUltbW7a3tw/1MiRJkjZoY2dc2+exi2ce18KVSOqtiLgzM9uaHRverHEgZOYPBqjuxQNRV5IkSZI0+Fpyd19JkiRJklrBkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNoYP9QIkSZI2BmNnXNvnsYtnHtfClUjShs0zqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaqNPofUiNgrIu5u+Ho6Iv4uIj4fEcsa2o/tZvy0iHi4fE1raD84Iu6NiI6IuCgiorTvEBELS/+FEbF9N3XPKWMfioijG9onl7aOiJjR0D4uIhaV9qsiYvNW1JUkSZIk9V6fQ2pmPpSZEzJzAnAw8Efge+XwhZ3HMvO6rmMjYgfgXOAQYCJwbkPovAw4DRhfviaX9hnAjZk5HrixPO9adx9gKrBvGXdpRAyLiGHAJcAxwD7AyaUvwAVlvXsCq4HpLaorSZIkSeqlVm33PQJ4JDN/28P+RwMLM3NVZq4GFgKTI2IUsE1m3paZCcwB3lvGTAFml8ezG9obTQHmZeYLmfkboIMqBE8EOjLz0cx8EZgHTClnaQ8Hrm5l3R6+B5IkSZKkLloVUqcCcxuenxkR90TEFd1syx0NLGl4vrS0jS6Pu7YDjMzM5eXx74GRvazbrH1H4MnMXNNkvv7UfY2IOD0i2iOifcWKFc26SJIkSdImr98htVzDeTzwf0rTZcAewARgOfCl/s7RVTnLmq2uO5Ay8/LMbMvMthEjRgz1ciRJkiSpllpxJvUY4JeZ+ThAZj6emS9n5ivA16m2xHa1DNil4fmY0rasPO7aDvB42Q5M+f5EL+s2a18JbBcRw5vM15+6kiRJkqQ+aEVIPZmGrb6dQbJ4H3BfaR8dETeW9huAoyJi+7Id+CjghrKd9+mImFSuFz0FuKaMWQB03gV4Wmd7REyMiDkNfaZGxBYRMY7qxku3A3cA48udfDen2p68oJyRvRk4oWvdLnpVt+dvnSRJkiSp0fD1d+leRLwROBL4REPzP0XEBKrtuIsbjo0C1gBk5qqI+AeqkAdwXmauKo/PAK4EXg9cX74AZgLzI2I68FvgxNK+K/CnUvf+iJgPPFDm+lRmvlzWeiZVOB4GXJGZ95fxnwXmRcT5wF3ArNL/eKAtMz/Xx7qSJEmSpF6K6mTiIExUhbnfZWZLzzRGxD8D38zMe1pZdyC1tbVle3v7UC9DkiS10NgZ1/Z57OKZx7VwJZsO33NpwxURd2ZmW7Nj/TqT2huZefEA1f30QNSVJEmSJA2+Vn0EjSRJkiRJ/WZIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0YUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbhlRJkiRJUm0MH+oFSJIkSRuasTOu7fPYxTOPa+FKpI2PZ1IlSZIkSbXhmVRJkiRJPeIZZA0Gz6RKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTaMKRKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNgypkiRJkqTa6HdIjYjFEXFvRNwdEe2lbYeIWBgRD5fv23cz9pyI6IiIhyLi6Ib2yaWtIyJmNLSPi4hFpf2qiNi8Sc2IiItKn3si4qCGY9PKmh6OiGkN7QeX19BRxkYr6kqSJEmSemd4i+oclpl/aHg+A7gxM2eWkDkD+GzjgIjYB5gK7AvsDPw4It5SDl8CHAksBe6IiAWZ+QBwAXBhZs6LiK8C04HLuqzlGGB8+TqkHD8kInYAzgXagATuLHVXlz6nAYuA64DJwPUtqCtJkrRRGzvj2j6PXTzzuBauRNLGYqC2+04BZpfHs4H3dtNnXma+kJm/ATqAieWrIzMfzcwXgXnAlHJ283Dg6h7UnZOV24DtImIUcDSwMDNXlQC5EJhcjm2TmbdlZgJzWlG352+VJEmSJKlTK0JqAj+KiDsj4vTSNjIzl5fHvwdGNhk3GljS8HxpaeuufUfgycxc06W9v3VHl8dd2/tb91Ui4vSIaI+I9hUrVjQpL0mSJElqxXbfd2Tmsoh4E7AwIn7VeDAzMyKyBfNs0DLzcuBygLa2tk3+/ZAkSZKkZvp9JjUzl5XvTwDfo9qu+3jZCkv5/kSTocuAXRqejylt3bWvpNpiO7xLe3/rLiuPu7b3t64kSZIkqZf6FVIj4o0RsXXnY+Ao4D5gAdB5l9tpwDWlz8SImFPaFwBTI2KLiBhHdUOi24E7gPHlTr6bU91caUG5XvRm4IQmdd8XEV9sqHtKuRvvJOCpsvX4BuCoiNi+3G34KOCGcuzpiJhUrns9pbNuF72q2+c3VZIkSZI2Yf3d7jsS+F75xJbhwLcz84cRcQcwPyKmA78FTiz9dwX+BJCZ90fEfOABYA3wqcx8GSAizqQKesOAKzLz/jL+s8C8iDgfuAuYVdr3AJ4uj68DjqW6EdMfgVPLfKsi4h+oQjDAeZm5qjw+A7gSeD3VXX2vL+v4ZBn71T7WlSRJkiT1Qr9CamY+CrytSftK4IgmQw6h+niZzn5fAL7QZPx1VKGw2XwTm9SdAPx96ZPAp7pZ7xXAFU3a24H9mrR/teFxr+tKkiRJknqnVZ+T2iOZ+ekBqvuRgagrSZI2LH5mpyRt+Abqc1IlSZIkSeo1Q6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTYMqZIkSZKk2jCkSpIkSZJqw5AqSZIkSaoNQ6okSZIkqTaGD/UCJEnaWI2dcW2fxy6eeVwLVyJJ0obDM6mSJEmSpNowpEqSJEmSasOQKkmSJEmqDUOqJEmSJKk2DKmSJEmSpNowpEqSJEmSasOQKkmSJEmqDT8nVZIkSdqA+BnM2th5JlWSJEmSVBuGVEmSJElSbRhSJUmSJEm1YUiVJEmSJNWGIVWSJEmSVBve3VeSNhHeDVKSJG0IPJMqSZIkSaoNQ6okSZIkqTb6HFIjYpeIuDkiHoiI+yPib0v75yNiWUTcXb6O7Wb8tIh4uHxNa2g/OCLujYiOiLgoIqK07xARC0v/hRGxfTd1zyljH4qIoxvaJ5e2joiY0dA+LiIWlfarImLzVtSVJEmSJPVef86krgH+a2buA0wCPhUR+5RjF2bmhPJ1XdeBEbEDcC5wCDAROLchdF4GnAaML1+TS/sM4MbMHA/cWJ53rbsPMBXYt4y7NCKGRcQw4BLgGGAf4OSGtV5Q1rsnsBqY3qK6kiRJkqRe6nNIzczlmfnL8vgZ4EFgdA+HHw0szMxVmbkaWAhMjohRwDaZeVtmJjAHeG8ZMwWYXR7PbmhvNAWYl5kvZOZvgA6qEDwR6MjMRzPzRWAeMKWcpT0cuLqVdXv4HkiSJEmSumjJNakRMRY4EFhUms6MiHsi4oputuWOBpY0PF9a2kaXx13bAUZm5vLy+PfAyF7Wbda+I/BkZq5pMl9/6r5GRJweEe0R0b5ixYpmXSRJkiRpk9fvkBoRWwHfAf4uM5+m2q67BzABWA58qb9zdFXOsmar6w6kzLw8M9sys23EiBFDvRxJkiRJqqV+hdSI2IwqoH4rM78LkJmPZ+bLmfkK8HWqLbFdLQN2aXg+prQtK4+7tgM8XrYDU74/0cu6zdpXAttFxPAu7f2tK0mSJEnqg+Hr79JcuZ5zFvBgZv5LQ/uohm257wPuK+2jgTmZeQRwA/CPDVuBjwLOycxVEfF0REyi2jp8CvCvpc8CYBows3y/ptSdCJyZmaeUPt+OiH8Bdqa68dLtQADjI2IcVYicCnwoMzMibgZOoLqedG3dLnpVt/fvpjZlY2dc2+exi2ce18KVSJIkSUOvzyEV+Evgo8C9EXF3afvvVHe4nUC1HXcx8IlybBTVHYEpYfQfgDvKsfMyc1V5fAZwJfB64PryBVU4nR8R04HfAieW9l2BP5W690fEfOCBMtenMvNlgIg4kyocDwOuyMz7y/jPAvMi4nzgLqrgTUQcD7Rl5uf6WFeSJEmS1Et9DqmZ+VOqM4ldveYjZ4pJVB/X0jn+CuCKJnXbgf2atK8EjmhS95Audb8AfKHJ+OuarS0zH6XJluTMXEB1BrVPdSVJkiRJvdefM6m9kpkXD1DdTw9EXUmSJEnS4GvJR9BIkiRJktQKhlRJkiRJUm0M2nZfSZIkSVLvbIqfBOGZVEmSJElSbRhSJUmSJEm1YUiVJEmSJNWGIVWSJEmSVBuGVEmSJElSbRhSJUmSJEm1YUiVJEmSJNWGIVWSJEmSVBuGVEmSJElSbQwf6gVI0mAbO+PaPo9dPPO4Fq5EkiRJXXkmVZIkSZJUG4ZUSZIkSVJtuN1XkiRJkvQaQ3WJlGdSJUmSJEm14ZlUSdJGzRtlaVPg77mkjYlnUiVJkiRJtWFIlSRJkiTVhiFVkiRJklQbXpMqSYNoU71ubFN93ZIkqfc8kypJkiRJqg3PpEqSJEmqPXflbDoMqaoN/+CRpNbxz1RJah3/TB1cbveVJEmSJNWGIVWSJEmSVBuGVEmSJElSbRhSJUmSJEm1YUiVJEmSJNWGIVWSJEmSVBt+BI2kIeGt3CVJktSMIVWSJLWU/wglSeoPt/tKkiRJkmrDkCpJkiRJqg1DqiRJkiSpNrwmtYa8lkeSJEnSpsozqZIkSZKk2vBMql7Fs7iSJEmShpIhFYiIycBXgGHANzJzZpfjWwBzgIOBlcBJmbm4HDsHmA68DJyVmTcM4tKlfvEfJSRJklQ3m3xIjYhhwCXAkcBS4I6IWJCZDzR0mw6szsw9I2IqcAFwUkTsA0wF9gV2Bn4cEW/JzJcH91WovwxrkiRJUj14TSpMBDoy89HMfBGYB0zp0mcKMLs8vho4IiKitM/LzBcy8zdAR6knSZIkSeqDyMyhXsOQiogTgMmZ+dfl+UeBQzLzzIY+95U+S8vzR4BDgM8Dt2Xmv5f2WcD1mXl1k3lOB04vT/cCHurjkncC/tDHsf3l3M7t3M7t3M7t3M7t3M7t3M7dirl3y8wRzQ5s8tt9B0tmXg5c3t86EdGemW0tWJJzO7dzO7dzO7dzO7dzO7dzO3ft5na7LywDdml4Pqa0Ne0TEcOBbaluoNSTsZIkSZKkHjKkwh3A+IgYFxGbU90IaUGXPguAaeXxCcBNWe2TXgBMjYgtImIcMB64fZDWLUmSJEkbnU1+u29mromIM4EbqD6C5orMvD8izgPaM3MBMAv4ZkR0AKuogiyl33zgAWAN8KlBuLNvv7cMO7dzO7dzO7dzO7dzO7dzO7dz13XuTf7GSZIkSZKk+nC7ryRJkiSpNgypkiRJkqTaMKRK2uRFxOYRsV/52myA54qBrL+hiIjXR8ReQ70ODQ5/3pI2NoP5d4dN0SZ/46QNQUQcB+wLbNnZlpnnDcK8AXwY2D0zz4uIXYE3Z+aA38E4Ij4I/DAzn4mI/wkcBJyfmb8c6Lkb1vAmXv2e/26A5nldZr5SHo8Hvgjs02Xu3Qdi7rqIiH8Czgf+BPwQOAD4+8z890GY+1BgNrAYCGCXiJiWmT8ZoCnPiojlmTl/gOr3WERsT3VX8sbftYF63Y3zvgf438DmwLiImACcl5nHD/TcDWsYlP++m8w7EviL8vT2zHxikOYdyv/GhvTnHRH78do/U+cMwrx/C/wb8AzwDeBAYEZm/mig525Yw9uAd5ant2bm/x2EObcFPt8w7y1UP++nBnruMv/xwLs6587M/xiMecvcQ/Jn6lDMHRH/CnR7Y5vMPGsA5763m7mjmjoPGKi5G9ZwKIP7d4fGud8I/CkzX4mItwBvBa7PzJcGcM5B/3l746Sai4ivAm8ADqP6n9wJVH+xmT4Ic18GvAIcnpl7lz8Af5SZf7Geoa2Y+57MPCAi3kH1F6t/Bj6XmYcMwtzHA18CdgaeAHYDHszMfQdovr8FnsnMKyLip8B5wOeAjwCnUv13+rmBmLvMv1VmPlseTwIuBvYCtqC64/VzmbnNQM1f5r07MydExPuAdwNnAz/JzLcN5Lxl7juBD2XmQ+X5W4C5mXnwAM03nOpnfB/wNV79h37n/2AH5P2OiH2pfpdfiYi/Bv4eeBNwP3AI8IvMPHwg5u6yjjuBw4H/zMwDS9u9mbn/IMw9qP99d5n7RKo/y/6T6mf9TuDTmXn1IMw91P+NDdXP+1zgUKqQeh1wDPDT/H/snXeYJVX1td815AwiIEqU+ENykmQAJUgSRUSCoBINMIAkEcmSFQFFQJAMKlFASRKGMMCMhGGIgiBBERBBkDywvj/2qenqO92Nn/Y5dae73ufpp2/VnZ51uu+9VWefs/fa9pcKaI+zvYykdYGdgB8A59hePrd20h8J7ABckk59ATjV9omZdS8mrm9npVNfBZax/cWcukn7CGBl4Lx0agtgrO39Mul1yzV1e2AkMA9wL7BKbm1J2w70vO2zBnr+f9Se/320n8ylXRtD0blDH9qfAGYDbiPaab5te6uMmuVfb9vtVxd/Afd1fJ+RWA0toX13+n5P7dy4Qtr3pO9HEBeBXuPIrD0OmL02hjWB0zPqjQC+SwSld6Vzt9Sevyvz77szETQJ+CMRoN5IBKhfB44o8De/P30/DViv8Hvtvv/kXAbdaUv8fh2a6xP9neckJpHTEYEDxErsJYXGcUf6Xr+2ZP+bJ52in+8+tOesHc9R8H3e5Gesydd7fLrGjkvHcwHXFdKu7tvHA1/o/BuU0AdmqB3PUOjadu9/ci7j7zyidjxFzt+5i66p44kd1HtLaw/Xr6bmDkmnmp/vAuydHhf5jJX8atN9u5830vfXJX0YeBGYu5D2O5KmIO30SJqD2FktwV8lnQKsDRwlaRrK1VC/Y/tFSSNSKu6Nkn6SS8yR6vujlF79LUkjiN9/R+AFYmEiG7ZPlrQpkdqN7UckTeXo+XuGpHuA7+UcA3ClpIeJ9/s303vtzcyaFX+UdBpQpT1uRQTrWbH9Zkqh7+u5LKmntn8v6QEi7fAN229ImlLSFLYfLlgz+ICkLYEpUor7rsDoQtpFP98djHDv9N4XKXdda/Iz1uTrXaXETZA0M7F7Pm8h7bskXQssCHxP0kyUu4dCLDzWe7e/m87l5g1Ja9i+FUDS6vTMZUowK9HTHmCWnEJddE19M91TkDRNSW1JN9JHGqjL7CC/WtOeGpiKAtlfic65w9YUmDskJGlVYr5SZVZOUUh4DmAfJi2hGPTXuw1Su58rJc1KpIjdTXwYTyukfQJwKTCnpB8Sqcb7F9L+MrAecKztlyXNDexVSPtlSTMCNwPnSXoeeC23qG2n9KzpiVS8w4ib7dcLaF8MIGlHSVMDD0s6nAiSs1/4bO+baub+ZftdSa8Bn8+tm/gm8G1i4gxwC3BSIe3f1R5PS0xmHyFq0LPgSIN6UtLO6dpyFXC9pH8BT+fS7WAX4PvAW8D5wDXAoYW0q8/3LRT8fCeulnQNcEE63pz4+2en4c9Y/fW+gLKv9x/T+/wXwF3Av4HbC2lvBywLPG77dUmzU+B6XuMM4E5Jl6bjTYBfFtDdGTg71aYCvAQMmCo4iBwB3JMCJxG1qfvmFOySa+ozSfsy4DpJLwHZU14Te9YeTwtsCkwoIWx7pupxWuj/PJHqXIIm5w4jic2DS20/IOmjRAZcCc4Dfg1sQHzWtyXmioNOW5M6GZF2E6d1AfOBtJu3CrEa+RniYn+97Ydya3eMo7i5iaIg/U3id96KWIk9z/aLmXWnAI6yvef7/uN8Y5gfeI5YjdydqHf4ue0/FdBeDViA2uKZC5ibdBOSlge+ZXv7wrqfJF7rq22/VUBvM9sXvt+5TNqNfL5r+l8E1kiHt9i+dKB/P8jajRgI1fRnDkm/WkqzQ38BYGbb92XWWTztZPVZe+qyBoDL0/v9dk9mvYn3sfR6Y/uVnJp9jGFuepuT/b2kfhpD0Wtqh/aniOva1bbfLqldG8MY2ys3pH2PU+17Qc0PAPPkvrZ0A5Lusr2CkndMOjfWGfxq2iC1S5G0lu0b0oRmEmxf0tf5QR5D8Q96TbvT3GQ+4GEXMDepjWFmegdM/xzgnw+W5h22S60C9jeGqYl6FgOPlLjJSToHWIgwfKjS0+y87oDT2H5LXeaorAKGMmki+YDtxXPqDKB/tzvMY/o6l1H/Q4S5iglTlSKTWEkLAs/afjMdTwfMZfsvBbSbNBBaidjBq3Y9/gV8w/ZdGTUbCxQlnWp7x7Sb14d0/jTINI5zbH/1/c5l0C1+H+vvda4otTCQrq1z0XvuUMo5vBHtFKBVjABWAE6wnT3duGOOPAJYEfiU7VULaN8EbEz8ve8i5qqjbe9eQHsOYG8m7fxRIsX6DturpKygE4C/ARfZXmiwtdp03+7lU8ANwEZ9PGd63Ppycr2iVvESl1/NOJTYyf2D7eUkrUnk+2dH0k7AwcRuy3skx1WgRNByj6TLgQuppSCWWJQAULQ7Ohn4M/F7LyhpJ9u5UxJXBJYo/D77BbANkRJ3IHAcYaLzdQrVCUrao3Y4gmi19Lfcuind8xFJ85WaQAFI+hxhNPIRSSfUnpqZQulhChfMA4jrq4ATJR1iu0Qa5IXAarXjd9O57I7pRLnGMoRxz9cVrXCyt59JnE5kCNwCoHBtP4Nog5OLPYAdicXOTky4DWfB9o7p+5q5NP5Dei3qpiAmu/MozdzH+nqdJ0qT8fWukLQLcS95jp7aY5P3fd64NhGgmbieTgCeoKdOMjf1OfIEoh1MqTKGWWy/ku4pZ9s+UFK2nVRJ3wL+ZPsPRMrtRcTC415Eym2RdmbAYSmV/7vAicT9O0tg3gapXYrtA9P3kvUrnexE3OgnSKrS41yoIL1Jc5M9gSVt/6OQXp1pCTOV+g211KIExI1+TduPAUhaiKibzB2k3g98CHg2s06dyjxlOtvXS1KqLTpIYe+ere1PjZlqjycQf+uLC+hCpKI9IGkMvSeSOXtX/o0wltiYmNhUvEqmm1wf7AUsV6X3pjrB0ZSp1Zuynplg++2UuVCCJg2E3q0CVADbt0rKuijRLYFiEynWkr4H7AdMJ+kVesyS3gZOzamdKH4fa/p1TowEFitVOtAt2rYXLK1Z025yjjxlSi3/MlFzn5uzgB+m2uMP2j5V0ta2bwJukjQ29wDSQtcitq8kMmKyfu7aILXLSXWomzJprd4hubXrBekN0Ih5UeLPwOuFtHrR8AUXol/rY7Xjx4kAIjcfBB5MAdPE+p3MAVO1g/hWqsF+VNJ3gL+S2VG5wvbBJXT64QelBW2Pk3Q/sK4z9tB7H16k93v61XSuBC9I2tj25QCSPg+UWgxr0kBolMKt/QIiWNmcmFQtD/lTMZuqd+8vxRrIqm37COAISUfYzu3M3pd+Y/cxSdv0db5Q7fXTxMS9CYprpzT+p6tyifS335QwbDooZ4mUpB2IVj+PShKRrVFpf61QevchhAncrbbHKsyLHs0lZvs1YLdUJlJ5l7wsaW3iPjJ7Lu3aGN6VtAWReZadtia1y5F0NXHhuYualbztgVJbBkv7C8ANTkZNaYLzaduXFdBuzNxE0nIkV0R6B0zZ6iNr2tMSaTKddQbfyK2d9H8OzA/8hphMbkYEc39I48iyEp6MHibB9qgceh3aKwEPEU7KhxLvtaNt31FAu7G6kiaRdAvwmZKmHrXU6mWBpYDfEu/xzxO97b5WYAwLEWlaHyaubU8D23QsDGVHhQyEanoDuU5mrdFsot69pj2enhTrZaoUa9tr59aujeEjxDW9HqDfnElrb9tHSzqRvluSlPibn1g7nJYwfry7UO316USf8d/Re+7w46GoLelu4LO2/6kwivoV4eS9LPB/Of/mabFzOdvvKNpbfRdYh2gFdKDtT+TS7gYkbUi4CX8E+Clp/uICRnySjiPMNX9N7yysQV8YaHdSu595bK/XkPaB9Te8oxXMgYTFeVbSilFF6R2XU4h6tfGU7WkHcA7wMLAusUq3FRFAlWJaoqalChpfIJqTb0TGdK0SwegA2lWKzL8p2x4CeqzcNySzlXsnklYh6kn+j+gvNwXl+ss9AdyW6tbqN7mck7kqM+TP6avitxk1e2H7z8AqKUsE2/8upQ0TDek+mQ5HAUWC1IZTMZuod69oMsUaSUcCXwEepBagExlKOajuVaV6RU6C7V3qx2lx/VeF5J9KX1Onr5I0oT1Fbbd0c+BURzu7iyXdm1l7gu130uMNiZrQF4E/KFptZSfpHEb0AL6aqP/d3Xb2Wv+UbguxiVV6UXvZUxpW7gAAIABJREFU9L2e0Zml7rsNUruf0ZKWsj2+Ae2+zGOKvGeSY9tRwJzEjkPJetipbO/x/v8sCwvb3kzS522fJel8YrWsCKXTtCTdansN9W7IDQVfb0mLEnWKnbsNJS78s9s+XdLIFKiPKlFXkvgpMYG9kJjIbwMsWki7ChRH0LsuNwspPel829lSsf7DcRzQcQyUKd9IActKxMIIwK6SVrW9X0bNrW2f22EQNpESO0w0U+9e0WSKNcAXiDrFIi1QbF+Rvp8FIGl6242UztR4jeg/nZ0myzca0p5C0pS2JxA71jvWnss9V3wv1YO+lLR/WHtuuszaFevY3jtlHf4F+CKxAJQtSO2GbIWSi45tkNr9rAF8TdITRApHNXkv4dj2R0k/Bn6Wjr9Db7OTnBwNbOTCfVkTV0naEbiC3mkz2VvQANXK4MvJcOPvRKBehNLpxrbXSN+brH++kHA0/gW1lPpCVK/3swpn5b8BHxjg3w8qth+TNIXtd4EzJN1DNAjPrXswQMEdxdHATyUdBexD3zf3nPXPFfUMkWmJHYBS17j1gWVtvwcg6SzgHsJgJxczpO/FP9+SriBe55koX+9OqpM7wvbLwMmpdKdYinXicSItr3SfzlWJGsEZgfkkLQPsZPtbBbSr1x1iEWwJonwlO02Ub0j6ie3dOn7viWR+n19ALKz+g9hNrNy7FyZ/fewBxI79FMDlth9I2p8i3vclqGKoDYALbf+rWnjMSOPZCqls4XDgw7Y/J2kJYFXbpw+6VluT2t1Imr+v8w4X0tzaMxDmKp9Np64FDiuxMirpNtur59bpR/uJPk7bBfpmKqzMLybSRs4gbvI/sH1Kbu2kfyGRbrwltXRj2yMz6zbSzy/p3GW7RFuGvrSrupJ56bFyP9jJWCez9s3EZ/s0YjHkWcJwYpkC2ksSqe1VQP4PojbzgYyaI4CFgbn7er6JlHOFMd41tj9dQOs+wlPgn+n4A4TxSIkFz+L0V+deUajePXvP4/fRv5ioib2egv4Kku4kWh5d7tRrXdL9tpfMqZt06q/7BOBJ28/k1k3a1xLlG3tSK9+wvU9GzRVs39WUr0MqG5kbuLYq00rZSTPmqFHs0J4SmMn2S7VzMxCxTfZSipSdsgkRoK9M1IVeafvjubVrYyheOiLpKmJ++v1Uaz8lUXc/6Ne6NkidDEirkFUR+C22xzU0jvmAzW0fU0DreCJF6zJ631xLtWIpjqRNiEn0eNvXNDSGexx9ae+zvbSkqYj3XNbG7JLutr187XhKwsxmiYyaVYC0K1Erdinld84bIy2APUfUL+1OGEad5AImPpJGEze4G9Pxp4HDba824A8OMSTNBoy1vXABrS2AI4EbiYycTwL72v51Ae0T+jj9L+CPtovVBJcm7Vb/tFb3Xlp/277OO7OztqQ7bX+8up+kc+NKLIA1SbXgWd0/07mxtrP2QVa0BTnb9lY5dVomJc0j/uVwvZ2eyJb4ewHd+kKvCC+LrAu9Ne2xtlfq+Hzfa3vZ9/vZ/1/adN8uRdLStu+TNBLYgR7DmnMlnWr7xAF+fDDHMQfh8LoF4UiZ3TksMTPRBmad2rmsfdYkrWX7hlQPOwk5A2RJJxEpQqOBQyWtbPvQXHoDUDTdWJP284O44Jbo51dvQA5Rl1phINvOeZfUlTypsLKfu4F6phmqADWN5aa0Ap4dSYsARzBp78oSmRLj6Xm9pwDmoLf5RDZsXyDpJqIuFWCfEpOpxLTA4kRqPUSriCeAZSStaXu3XMJq1iDs48BWkp4kUr1LlutkD0YH4GlF2x+nhc6RFEprb/j1bqR8IwVI80ua2gUd04c76b29NfDJlOY7iigdKsGpwB4dC72/AEos9L6m6C/upL0KmdK72yC1C5G0DuGueh9RH/jxWhrFUYTxQrYgVdJMRAH4loSRyiXAgrbnyaXZiZvps/YpwtV3oz6eyxogE7say9RW424h2qGU5tS0u/MD4HIi3fiAgX/kv8cN9vNzgw3I6Y66ko2AY4mJ3IKSlgUOKVSb+bikHxArwRA3+lJ1RGcABxJ93tYkHJ37MonLwYa1xxOA55LpSHaUepICVerjh9PCwJMFxrA0sHqqfa5aXd1CeC7kNgVs0iBs3UI6fdLggszOwPFEe4y/EqVC386sWdHk632YpFmIdihV+cbuhbQfp7xj+nDn50TN90np+Kvp3PYFtBtb6AX2IOaHC0m6jVhszdJuqA1SuxfVvtfNXN6tPZeL54ExwP5Ek2Ir3MuKIWke4iJf1aXeAozMWVti+8D0vYkA+e1qAmf7dRWovu8L26elh6PIuJPYh+73VLCfXydp1X+BDu1szd9tX5HSu+egufTug4g6mpvSmO6VVCpw/wZwMD0LP7ekcyWYzvb1kpRq+w+SdBcZF2Mq0u718kRwZuBWwryoBCcByxOLnwKWBB4AZpH0TdvXZtSejVjwqlbbZwA+kBblspv6uDmDsCclrQEsYvuMlJk0Y27dGo0syNj+B+Fn0AhNvN4p5XYRR2uQfxF/75IUdUzvRGGmU2VpjLH9fEHtXq21nFymC7BSRwr7DZJKleM1ttBr++5UA70YcS95xD3tgAaVNkjtQmxfK+m5dHgGcKekKs12E8I1LyffI1YiTwIukJS9ZqkPzgDOJ1KNIT6AZwBFmqCnVJ1Oh76caXmLK4xNID70C6XjoulhinYJ2zBpwJbbaKN0P7+69jnAQsC9HdrZgtQuSe9+x5O6ERYxKUhGF9lTmvvhLYWJ0qOSvkPs9BQJHBQtaDajJzg/U9KFtg8rIP83YDv3uGAuQaQa753GkzNIPRq4N6UbV/Wwh6eV/z9k1AV4XdLUSf9owiCsyM65oq/4isRk7gxi1+VcehZfc9PIgkwKxndg0vtIiYWoRl7vtOCyBbEgUJwGSjYmIunLwDHEgqeAEyXtZfuiAtpHEIutxVpr1XhX0kKO/tdI+ijlOgQUX+jtrxQOWFRSlpK41jhpMqC28g5hYlNk5T194L5C1KMuQqzIXmr7TwW0JynCzlWY3Yf2ycD0xEroaUQawxjb22XU7NPFucIF3JzTOEYDdxApeO/V9HMbbTwCLO1C/fw6tB8ClnDBi6Gk++lI73Zhh2FJpxOun/sSNYK7Ej2Cd86oeQb9B8LO+RmrjWElIt16ViKlfmbgGNt3FNB+hHjd30zH0wH32l6sgPYk7qrVuZzX1rQgsApRg7pyOj3W9t9y6PWh36RB2L3AcsDdNYORiaY6BfRHE3OHi4hSlr8CR+Z+vyXdW4i6/4mTdtsX59RN2vMR2WBNvN7HEQsRv6Z3ym1Wl9ukXbz9TU17HLB2tXuaxvIHl3GKv4/erbWmIJxms3/GJK0FnEnsYIrIBPt6PQ13KJHu3xA+JasR1xSIufJo2xv2+YP/A+1OapeiHudRiCbBf6k/5wLOo7YfJ3ohHa4w0dkC+D3hQJubFyVtTfThImm/WEAXYDWHs+19tg+W9CPgqpyCpYLQ/4Bpbe/RgG4j/fwS9xNO0s8W1OyG9O5dgO8Tf/PzgWuA3Dt6V/Zxbl5iMjlFZu1qArO57T2BfxPpjyX5GzGBfDMdT0MEDiV4INWC/iodb070D52GHsOXQcf2e5J+loK04k6+tWvrm8TOQ0neTuUylcFIqZqxipHEguuuxILMWkRblNxM74xtV/oi1d8eS2TFjAf2bGB3sVroqWddmfi75+Y8IjjekFr7mwK6ACM60ntfpFydP8SCYzUnnqWEYLqXLENs4FSLPo/kXmhP5QMfrcqRJF1EjznXYbZv6PeH/0eqUjhFq6UlbD+bjucmgvVBp91J7VIUvTor59H5gJfS41mBpxo2fclOWv0+EViV+DuMBna1/VQB7TG2V5Z0B2Eg9SLwgAu0iWgaSbsTk/crKdiORQ3180vaNxKTizEd2tkMhCS9DlQr+yImVo9RIL1b0rREb7kXOs7PCbxS7fLlJmVq7Eekfh4HnO4CzpSS7nDmlkp9aFYuzvMRdVvXpeO1iSyN/tKoBnMM0wHfoicr5zaipONNIqjI1mdP0rGE4d8lpTIWUtDyfWLy+mPC+fITRN3e9i7QFkbSnsQkdm3CwOgbwPku5M7fMZbZgJdL/P0lHUbsrPw+t1ZN8xaiRONmYGNg1RKfq25BDbW/STrHEOZo1abC5kQLuewLFWq2tdYY2yu//78cVM3rgV1sP5iOxwNfI+r897O9XoExPGT7/2rHI4g58v8N8GP/nVYbpHY3kn5BpNj+Ph1/DtjE9k7Njiwvkua1/XTHuQ+5TP+pHxAB8meAnxGTyV/Yzm6s0jSSvg38EHiZnrRMO7MbpBrq55e0izdBbzK9W9KpwNWd9SMKc7R1bH8zl3bSWZwwZVuOqGM614UcbpP+zwnX0QvpnZKXs8XUgLtXJd7nTSLpVWIS9S7R+L5ajMnWFkTSrUTQUjms7gZcQQSqh9n+eC7tjnGsTbRSE3CN7esKaB4A/Mb2w2mn/GpiEXACsKXtrHXAtdf7LWKXvsTr3StlXR29t0uh8n4Wle4dtleRdA1wApG1cZHthXJrJ/1NqRld2i7VrrDayaubNhVprdVEenfnwoOkS6rFGEm32c5e7y7pp8TiW31R4jHbuwy6VhukdjeSxtte6v3ODTUkTSAmkd+w/UY6l/2mU9VP2R6djqchUmCz9IDqNiQ9DqzscGdsGYJUK+79PPeA7Y9l1L4QWAH4EfAbOkwmSpQx1OpqOqSLmLo0hhrsD9sE9aBF0mP1TJhS/gZNIekBYMmUarwjUS7zWaIVy1mld39KIOlh4vesSifOI9roCYrVhRb3s6hpb0jUAc9LT/ubg1zO6bYo6mmp1SeFXu++ak+dsw5Y0qO2F+nnuV7XuZykRe3KUfnmXIsSbU1q9/M3SfsTjoAQtu5FDCcaZjxxwb1N0mYO97TsdXtV/RSxy0OqL8heJylpPdtXp8ezEOlpKxH1krvbfm6gnx9EHgNeL6Q1kSYn0Gq2+XsTTD/Ac7nriFYiduj3JHoJQs/n2hRoe+RmWkwBEyeSh9LTain7DlONxvrDpprrrYAFbR8qaV5gbttjMsq+V3v8ygDPDTqStiNa7ByTjp8hggYBe9k+Oac+qRY2PV4X+JWjBv4hSUXmfSm9eBF6X89zurU/S9w3K/5eOy5VF1rcz6LGS2kxfWL7G0lZd9XSjnm/O12Zr2s/St+nJRy0xxGfr6WJ/uOrZtQGwHbpNkMAD0vawPbv6ifTveWRguO4G3jV9h8kTS9pJtuvDrZIG6R2P1uQXHXT8c3pXDYkzUy0oZkHuMr2+bXnTrL9rZz6Cds+SeEad4WkfSjUHgO4PqWuFKufIgyqrk6Pf0TccDciamJPIVoPleA1wrr/RsrWhjY2gabZ5u9N8Lyi5U2vAEHhepvVaMP2Ajn///+EVJO7HZOm5JXYSf0J8ZkeX/DaUtFYf1ii9vU9IlA4lKh7/xk9KXo5qNp61Vt6kY5zL4bsDNRrw16wPU96710D5A5S31KYHT5HXE/3rD030CLVoCBpe8K0aR6itdcqRE1ytkCxoYChk6qe/3VJHyb8LOYupH0i0Qf5/c4NGrZnApB0KDFnOYf4fG1F5t+7er0lXQIsb3t8Ol6S6AGeDUnzAAvYvjUd70FPG7PznddJenfgd5K+RASKENlJqxGmWdmRtAOwI2HYtBBRPnMyUSI3qLRBapeT0t9GFpY9A3gUuBj4RgrYtky7iqUMR6oUndskfYZIDVy8kPZOwB5ED6wi9VMdrFhLRTvu/erZBpnL0ledEpPpJifQjTR/b5C9gN9IOpNoEQE9wflXmhpUQc4BHiZ2mA4hJlQPFdJ+Gri/gQAVGuwPC3zc9vLpc4XtlxS9LHMy6CYe/x/Idt2N/kIA228qDKxyM5JoOzMHcJztJwAkrQ+UaGE3kliAuMP2mqkO/fACuk1zhaLX+DFEAGHCsCsbklYlApQ5UrBUMTMFHNMTG7t3u5mfpw2GEvfvxaoAFcD2/ZJyf/aPoacvK8Sc8VRiAehg4p6ShTRXWTppVKU5NwM7u5DpIfBtop3YnWlMjyqMFwedNkjtciQtSqyCLkDvptg5U1cWsr1penyZpO8DN0jK5nbaB+tXD2w/K2lN4kKcnWp1sDBzphuMgJlTsFZNZItZuXcauKS0vBKBS5MT6OLN35vMVrA9RtLKxI3ma+n0A0Qg8Xy/Pzh0WNj2ZpI+b/ssSecTpQUl2Bv4vaRR9M5U+HH/PzJoNNWOBOAdRcuGqhXLHGROuXWzbb1mrR/YPhwmeh58MLe47TvpY1HXYcBYwnH3zRSQI2kah4FT9l7ATSJpWWKxa27bF0u6kjJ+FlMT98opgfrc5RWiJrYEr0naimhvZSLb77WBf2TQuE/SafQuibtvgH8/GCxmu95O7XXbP4KJLtNZSRtGv8ytMwBv2X5bqXNeKiHIsvDaBqndz4XENvppdJiMZGQaSSOcmiPb/qGkvxKrNUUChxSYTuKSl8aQnRSQV0XhN3VckHLwC3puMGcRE5kXJH2ISJcqRppAbkbcaD5MT6p5Tjon0GtSbgL9VSIo/Q6RSjMvsOmAP/G/02i2QgpGD8yt06VUPUFfTqlhfyeak5fgh0Sq67TE5LIY7mm50kR/2BOI68ickn5ITJ73LzyGklwr6TDbnb/jIcC1TQyoMM+kHcXLgOskvQR0Sy/wQUfhprw1kZlytKQjbP+CAn4WDhf6UZLObHBhZkvg+PRlor3VloW0vw58k56Mw5uBn2fWnLbjuJ7mmn0RqgsYJWk/YDqFe/m3COf0Qad19+1yNIATZ0bNo4Fr3WFTL2k94MT+nMUGeQxNuuQdSaQqVekcWwB/tD1U0z+RNBNRK7clUY95CbC57XkaHVhm0u7O2bazpef0o9vZLuH7RPbAxsB1bqB1QmkkLUO0A4FoWTCukO72xOLA0sRiwYzAD2yfUkD7fttL5tbp0LyCgc1NimTIpJTPajJ3g+1SKdbFkTQDcd9aiTB0gWgB80eiR2u2nrTdhqLF1yxE26vsfZCTZn2ReZQzO9wq3JRXsv26pNmJ3zV7f9KOMcxBZGp01tqXMIwaVki6E/iq7T91nF+cmE8MOffsOikjZDtqrbWA03KUsbRBapcj6SDgeWIVup4elr1VQ5MoNaSufZ+RSIv8xPv+8CBoA8tWO8kpkLnHqUF2aSR93XZfbTMGU+MNYAyxu3GrbUt63IXaU0i6DtjM9svpeDbCkXLdAtq3AmuVmkAlzYeAj1XvsXTua0S96Iy2B+yjOrkjaSSwA7EYAvAF4FTbJ2bW3QRYmDAuuianVj/6RwN/sF1sN0399AGucN5+wNMD79h+Jx0vRizGPOmMfWm7BUkfpadu7EGHS/2QRdIHBnj6LdvZU0AlHUHUy9UXmcfa3i+jZq/2eA1tLlxL9OvckzDu2pYw7Nqn5DiGA2nD5gQiM6ZuXrQfMNJ2KUfnokg6vPocSVrbJXo+t0FqdyPpiT5Ou1Tw0EmJgCnp3Gn745LuIHb4XgQecIEeUClI/XS1EJBuvDc1GKQ+ZXu+zBq7EbWnMxANmn9N7OiVClLvsb3c+53LpH02YbJyOb0bcmerE+yGbIUmSZ+xVatJa9p5uj3nZ0zSSUTAMJrY0bvC9qG59PoZw6vEZ+wtIu24tClbfSzzAl9xapOSSeNmYLtkrLEwsRB2HtFqakzO7JS0sLk3kbo/D/A28GfgZNtn5tLtJiRNRaRCTtxVJH7/d/r/qf9J7wli176zXZyBqdLjfW2fRyaaWGSW9DI9pUgiMkQmliaVyFaoAuNqYT+dG1t6R3e4kEpFqp1riHaBx9i+P7NuY34W9cWYzoWZXLQ1qV2O7QWbHkMHBxMpcrm5UpO65J1WQBeiX+c9ijYsIm7w++YUVE97hEmeAubKqQ1g+yfAT9LK/1eIWqIPK1r/XNqZ1pKB9yTNZ/spAEnzU67l0J/T1wh6G09kw/be/Zy/mugtmI1U53wgYVxzALALMZF/iFgFfjanfjUMetfYv8ukE9vB5pPAMrbfTTt8txD1z8VwM6ZsE2mg3nw224+mx9sCF9jeRWFUdhd5HbTPI36/dYEvE4sDvwL2l7Rozp21LuLnRHB4Ujr+ajq3fQ6x95uvpPffKHo7o+ZgVqDKNpslsxbA5zuOjy2g2Um18FD5efyNaBEyLEiLUpRKpU/B6DYltDrohu4bxWh3UrucPlZCbwJOybUSmjQHCpgWtT1NLu1+xjMNZVzy6ppz09PDbwwwdRVAZdJ7jphMvdT5FDDa9odzaQ8wpiWJyezmuXew0w7iqcQEplqJ3rGJlMxSpPqVjwB31m+sktZLwWou3auB3xGT9i2JCeP5RC/ez9runHDlGMMeRNBSBUmbAGemxZJcmp0peUVWgvsYx2zEQkS9biybIVyT9eYduzq3ETsNl6Xjce7dtmKwtXv9/9WuUqqnetB2qZZmjdHX3zj33/0/GNNGOWtEJW0BHAn0WmS2/etcmt2ApA2Jhbd5if6oMwMH2768gPZcRIuhD9v+nKQliEyZ0wtoLwWcTQTkInp9b5t7R7MpmvSzkPQM8GPi77x7ejyRHNlnbZDa5SistaciHF8hVkLftZ1lJTRpNh4wpRSdDZi09U7WVg2KnmMfAW62/byiH9W+wCdsz5tR93TgDKfm0B3PnW+7lFNeY0j6ID0rgXfY/kch3eKGE5J2JVrAPAQsS+xg/jY9lzV4qqdRd6aSd94AcyJpeWCNdHiL7az9GyW9DlRN1kU0IX+MnpTb7On8CtOmkUSq1r3E+/32zO+1xurNJZ1LuCf/lbiOLugwl5mVMLTJGaSOBva2favCSOfbTjXukh6xnb0liqSFgGdsvyXp04RZ19lOtfcF9O8mav3/nI4/ClzUxOJMSToXmW3/vcnxDHUkXUXs8H3f9jKKliT32F6qgPbopHtjOv40cLjtIi0LS6MG/SwkDdgRwPbBg63Zpvt2Pyt13MhvUDRJzsmVxJt9ktYnkm7KrF1xBfAmMJ7M/fQqJB0DbEhMHveRdA2RFnUE8I2c2h7AtXg4BKiJ1ejJGIB4H5bgPKIGd0NqhhOZNXcAVrD9b0kLABdJWsD28eRPe633gD17gOcGHfU2VvlL+pr4nPMawuVu8P6fMJKYPN9he820m354Zs3vESn8JwEXSCq5o7QD8TsvAKxj+/V0fgnyp0TuDJym6DV+P+kanhalfpZZu+JiYMVUj3sq8Fsia2H9AX9q8NgLuFHS48R1ZX4y38u6hDeJxZFpgUVTeneR9nWlSfOWx9zhTi5pJ2JRKGupUuKDtn8j6XsAtidIKtUycYYqQE3aNyWPg6HKFUSP64l+FrbPlPR3Ygc9GzmC0Pej3UntcobxSujENLGCmg8CyzuakM8GPA0safsvJccxHFHfbX+yOjLWtIsbTkh6wPbHasczAhcBDxJOw9l2MyUdAhzdWbuTJtJH2s7WAF69jVXmI7I1RNSQPdWFNfiDSi3l9F7g42mHrdd7IaN2VW++BZFufCBl6s2HLVVWhKS9gDdtn6hChnBJvyrNqXaNHwFI9Wu5tdcAFrF9RloYmNF2X0aQg6W3pu0bJe1A9Nsulq3QJJLuAlZ0x2Q+pbXf5wItr9LmxaakdFNJqwBH2R7QWXyQtC8lfEvOSae2JhaAv1BAex4iMFyDuK/dQmRFPZNbe7iQddW8ZVCoVkJvkjQKuAH4bsNjKsFVktYprPmm7TcBbL8EPDqcA1RFv7dSrA+sbfuXtn8JrEfsbJagl+GEpOXIbzjxnKSJgWgKGDckGoFnTZGyfUBngJrOP5YzQE0aC6Y00z8AG9n+oO3Zid+9WFuWBnkmpbpeBlwn6bfAkyWEbT9u+/CUgrciUbP2+xLaTSFpcUmfSYtA9fPrFRrCO6lGclt6MkOmGuDfDza3237L9n3p6y3g9tyiKS1wH3qMsaYCzs0sW7ma7koseD5pe01gOaBIenVfSDo1s8Q0nQEqQEoHzZ2VU7EH4Y6/UKo9P5sw5CvBN4A5iFr7S4h7aKlsgTOI33tuwojuCsoYi05E0hqS9mhgvlyEdid1MiCthtZXQle0fVuDQ8qOpC8QN7URFGrVoN428hCpp0Vt5Jsi7WQea/sfklYEfkOkWU8FbOOMvRSTfmNtf5ownEgrsBP6qpWStHruz7caMm2q6YzvrFfq69xQRtG/dBbgahfs0TtcaLLuuzaGJYi049ttXyBpQeDLto/KrPsh4vN9LmGYVQUrMxMtaLKaRqVMgeWAu2v171mzoyTdbnvVJrIV1H9/WAHjnNGkTNJYwt310Y7zixBu2ivm0u7Qm5KYpwp4xBnNPQcYwxRE+u8rhfQm8XDo69wga46xvXJ6vANxjbsUWIdoq3ZkLu0maGtSu5T0YfsycaO5yvZ9aTJ9MjAdcQMYyvwYWBUY39cqYSY6XU1/VEi3G9igVrtyDOH+OTbVc51P7LwMOpKutb0ODbT9qbBd7XD8C1izkGa/6UAFAtT65P10SRMn70R9ZPYgFfibpP3p2V3ZimiZMORJ1/a5gCr18UNANufwYUyTdd8A2H6Q2Nmrjp8AsgaoiXWBrxEpr3WzwVeBEq133rZtSQYoVCNYOYN3Ziu8RP5shReSRv19VZU1zJlZ+wAi8+wwoq0TxP36e8BuOYUlfbGfpxaVhO1LcuqnMZxPLAS9C4wFZpZ0vDP2f67xoqStid7yEKUUL2bWrGdi7EhkoL0g6VjgDsLZOiuSZgEOIrowQHRlOMQZOnC0O6ldiqQziZ2dMcDHiQncCsD3nCz8hzKKJvCfds3BrCUfCse4pZLhwR22V6k9l22HS72dZos6Mko6YaDnbe860POTK5LGE+0BJk7egXNsH1+qXi7tPBxILEaYyFg4xBmNk+q7xOkm+2Pi/XY/sLvt53Jp18awC/F7P0ePIZxLZAw0QcrKOIZw9/0e8EtgZeBPRIupbI7OTdY2bEJpAAAgAElEQVR91zQXIRbglqC3c3h2Z+Wkv6nti0todejuSdQ9r02P8eD5trMau/QxjiLZCpIeBT7jPtrUSXraGTsDJI0lidKwqv70fiIzanxm3Sq1dU7C+PCGdLwm0Qkie8lOtXMpaStgeWJx+65CWVjzE9lXqxL3sdHALrafzqg5Dvg0kWV4TX2nvOD9+2LiPVbvOrKM7f4WLf5r2p3U7mVFYGnb70malnCqW8h27lWabuFx4CaFtflEkwdnbkEzjDkJ+H1K+71a0vFEfcdahPlELmbpZzV2tQIrsTsTF9rfEItApep3mmZEleJr+y8Ky/6L0g231A7TPwnX15LUd4l/BDwLbET0ED2F6NWam5HAYsPoOn4SEZTPSkzgdre9tqTPpOdWzaj9nKRlnVzq06LMhkSgXCqt/Azi9z+OmLh/nQJeIJK2tn0usICiJ3Evct9HbR8raW3gFSIF9ADb1+XUlDQ98E6VZippMSJoebJAOv1PgNnoOyPi6MzaOHqCbptbpw/dr0NkRAFL2H42Hc8NnFloGFNJmoq4fv/U9jvVDn4B5uksA5O0OmG6mYtZiB1zAZY0t+1n0yJcqTnMQrY3rR0fnNLrB502SO1e3q52ER1us48Po4kNRCrcE8DU6QtipaolAw7XyfHAN4FFiWvDIkTK1GEZpWchTHP6uriaCJRzMTewGbA5MIFoQ3ORC/UwbJBumLw3zYq1nbTjJJWa4D1NpJUXQ+EQfwlRn/bnktrAVLavSuM4yvZFALavT+lpOdmG+FxPxPYEYBtJp/T9I4POdOl3le0ngYMUbqwHZNat0mtnHPBfZSQFpVkD0w6uBrYDHlU4ld9OuMVvKGllZ2zFYrvflkald48bYt4qQE08R7i3l+AUopXZOODmtNhapCaV2EXtrG3v69ygYXuBfp56D8juaJx4Q9Iatm+FiYH5GzmE2iC1e1k8mclATOAXSsfFGs83iTv6MaXd5I1Kj0PSnLafL63bBLZvAm4qLPuk7Ub69qVFn5OBk5OR0VeAByXtY/ucgX96sqYbJu9NMGfaVRJRt6RavXspp/sqQ+R3lMsQmY3YybxR0UvvAuDXtkvUAL+pcJ2chVj138T2ZSkNM2sfxSbrvmu8pWgF8qik7xBpz9kDR9unpNrnV2wfl1uvQtKrDLCY7IzGh8BsNfOgbYlFmV0kTU3sPBXxOKiQdLbtbUpqNsj1ir7yVW3m5tT6eObE9glAvXTnSUlZvSUkrUqkN8/RkakwMzBFTu3+cPSgztbiqYOdgbNT2QxEK7ksC71tkNq9dEPj+UZJN9l1iWL0tYFbgQsz6nU69AkYo2hJopz1ct2MpK/bzmWr3niKraTl6XmPXUWP+cSQpEsm703wC2Cm9PgsolXBCwon1Jwp7XWeSl/1DJHcvGR7T2BPSZ8g3ut3pzr0C2znbJGxM5Hu+B5xLf9m8lv4K2H6MdQZCUxPmCcdSpRPFNm1t/2uov1NsSDV9kwAkg4l0unPIa7xWxGZK1nla4/XImqhsf22pKzeFpI6neAFrJkMnIZ0ZwAA299JZTuVkc6pti8toS1pJJFW/ypwGmEqui95W5pNTSw2TUnPPQViBzdrG7cu4RXby0iaGcD2Kwrn8kGnNU5q6TrSKvuWRO/MMcDqwEfTSlFO3feY1AVwHuAZYve6iNlFtyHpKdtZUnckLZnqaYoj6RBgA8Ll9leEucaEgX+qZTBQuEb/HJjL9pKSlgY2tp0ztbxR0qLb2ba3Kqw7SbuVNJa1CRfvr5ccT0s5JB1HuIH+GnitOm/77sy642wv837nBlnzXMK7469EkLKg7ddToDgqs/bdhCHXafS4+l5AZOfgzC3c0himJdKdP0Zvk65GMpVKUb2vJK0L7AT8gDACLNFiav6Uxj+s6OeecpftFQZbq91JbekqJD1D7DT8HNjT9quSnsgdoCb2IiZue1WueEk7ywpRN1FLLZ/kKaJdRhaaClAT+xPpMcukr8MlwTBJqW+YXxCft1MAHC22zidv/XOj/WHTztb8kqYuYORS5099jYWo4SvRE7fRnrxNkhZj9gLmpzbfsr1WoSFUddeH1M6Z2GnMyWvJbfVXSW8LakFyJnYgdq4XANapzRmWAHLXP6+YtL9PzB/ulfRGieC0xjnAw0TGwiHE7vVDJYTTLupRhMuvIH9f+7p8+r4+EZw+oHQjL8Drko5h0oWBUp/voqRr+ceY1PByZmq//6BqtjupLd2EpJ8QLm33E/05f0v0Si1l2T8PkR71NOHKOG447KBKeo64ub3U+RRhJf/h8qPKSzJY6JfhuEJaCkljba+k3i2IcjdBr/eHXRaY2B+2r5XhTGM4myjluJzeO1tD0rW8G/7mTaJoF3EyUUIwsQbXdraSAkmrAPfYfut9/3G+MSwAHE9kQRm4DdjN9l+aGlMJavOH54jMkFLmQRPbj0i6z/bSCsfbW1xrJ5dR+zFgI9tFguIO7TOIRbAFicXmKYCbcuzq9aF9LZGlsCdR2rAt8ILtfXJrN4GkzxPz842Je1jFq8CvbI8ebM12J7Wlq7C9m6TdiT5QWxD1TLNI+jLw+/pKfCb9Z4DNJG1MOBNOn1Ovi7gSmNHJ8bWOpJvKDyc/bRDaKP+QtBCpjkzSl4gatpzsAKzgWn9YSQvYPp5ytdF/Tl8j6F3LlJUGdzO74W/eJBNs/7yw5jTA5ZK2A77c1z/IvSiSgtHP59ToRmrzhw0o5zBb8U76/rKib+rfiZ3NEjzXRICa2I5YAHs8pXfPTrR6KsHstk+XNDLtmo+SNLaQdnHSAuNvJa1q+/YSmu1O6mSIpKtsf67pcZQgrQZW5knr2v5gQe3piH5QTaakDmnUbHuMloaQ9FHgVMIh8SUi7XrrnDstkh6w/bHa8YzARUQt2Vo5d3H7GMv0hUoYGt3N7Ka/eRNIOgh4HriU3m7OWU34FH0ql6KfPrTucM9vmfyRtD1wMfG6n0kY+/zAdnbHdkVf9Q8RLevq7/OcLeTq+hsDn0yHo2xfUUj3DturKJyNTyD6rV9ke6ES+qWRtLftoyWdSB8u3rZ3HWzNdie1S0mOo30+RU+dyZDH0Zj7SuDKFDSW1H6DSDvO7XA7nGmyPUZLQ9h+HPispBmAEbZfLSDbeH9YReuC04kJ5HySlgF2sv2tjLJN7mY2/jdvmMrJd6/aOQNZS0gcPSufJa/DaUt3cb3tl4CbSe+vXI6rfTAz8DqwTu1c7j7nAEg6EliJ6IkLsGva6dsvtzZwmKINy3eJ/qgzA7sX0G2Karf8j6UE253ULkXSu8Ao+p5ErGK7aMA23MnpcDucqe/kqKc9xheJi2Hu9hgthVHvnnKTkDMNMdWLTbD99z6eW90F2u9IupNoUXB5rRb3fttLZtRsbDezG/7mw5mUsXA8sAoRNNwO7J4WiYYUkpa2fV96PBWwD7AysdB8WKnMhaYo6bjaTSTTx2Vtv5eOpyBqslvjwwykv+9RjrZm2Wl3UruXh4gV9kc7n5D0dAPjGfI05XDbEti+BbhF0i6k9hhESmhxhlNKfWGqOszFiNXvynxhI6LdVDbcJf1hbT/dYT75bn//dpBobDezW/7mpZG0lu0bOhwwJ1IqDZIwH/wZ8IV0/BUiW+XjOUXT7tJB9PTNHAUcYvtfGWXPBKog7UhgduBHhNHLycA2GbUbownH1T7G0HT7m1mBKoV+ltxikk4Y6Pkcaa/dgsOlfvVSem2Q2r0cRJhr9MUuBccxnJiLARxuyw9nWNBYe4w2pb48VS2cpJuB5as031S797sGh1aKpyWtBjjt9owkf5uIbYBe/X8d/YC3kZS9Xm2Y8ingBmLxpZMiaZCJ6W2fUzs+V9Je/f7rweOXxA5mZdz0VeAMIksmF/WVn88AK9l+J11rxmXUbZrFgA2JQK3+fnuVSPUvQWPtb4DDgXsk3Ui8Bz5J9MnNyc7E+/s3RB3qcDCBq3OvpMuBC+ntUj/o17U23belq5D0IaL1y3vAAURAvilxwRuZam1yaZ8OnGH71j6eO9/2lrm0W8rTptQ3h6RHgKWrNhmSpgHus71YsyPLi6QPEumXnyXed9cS17UXGx1Yy5BE0lHEomvVr3RzwgfgGMhn4KQ+2kn1dW6QNR8nagNHEOm9/1d7bpztZXJpdwMlHVf70G6k/Y2kEUT5xC1EZg7AmL7KCwZZd3ZgM+LzNIFoQ3OR7Zdz6nYLqe1PJ86xc97upE6GDHETnzOJHZUZgBuJYvj16UnZyWZrb3u7AZ5rA9TCFHiftyn1zXE2MEbSpel4E+CsBseTHUmbAAsDZ9vequnxtOSjydrrDqqdzJ06zn+FvAZOb0hao1rwTemBb2TSqhhF9G8EuEPSXLafSwvf/8is3Q08Jmk/YAFqc/tCKbeNtL+x/V5ynP0Nvft25tZ9kZiPnpzq7r8CPChpn47MhaHKaZ3lGrlSgNud1MmQoWziU63Ipce9fs/cK7Et3UXu97miN+d424/08dwmti/Lpd0CklYA1kiHN9u+p8nx5ETSSUS91mgiFfEK24c2O6qWXEh6D7gXuIpoydErW2Oot4CRtCyx6DQL8bv/E/ia7aGcdtsokkYTO4p3Uatzt31xAe0m298cSSxC/JreqadZ2zwl7eUJs8e1ib/7j2w/mFu3afox6crSzqwNUruU9zHxWdT2NCXHU4p6Wo6kw2zvX3vuvtaxbWgxXN/nLRNdAuei96r/U82NKB+S7geWSaYT0xOpcEPadXM4k1oLbQGsR0xeLyBahBSdcEnaDLja9quS9ieMhQ4ttSAkaWYA268U0ls55DxW0hLE3/9h278vod8kTS3iVym3aTezOJKe6OO0bWdr8yTpEGADIhvrV8RnbMLAPzX5k1qorQbsBhxXe2pm4As5UurbdN/uZbia+PxW0oy2/90RoC5MHyY7LZM9jb7PkzPiR4A7bf+7dn4921mNm4YzycH5QOA5YtVfRPrhUF2EejsZgmH7dXXY+7YMLdKO4Thg32SUtQVwYkoHLJaWSOxmXShpDaIO+hgiTTGLu6+krW2f25nuXL3dM7eYOhD4HDClpOuI3/FG4jVYzvYPc2l3CVdKWr90QF6l3BImQsWxXaoXbJ39gSeAZdLX4ek9rhjSkN1MmZrYJZ+SHqd+gFeI2uBBpw1Su5crgRmrtgF1JN1UfjhlsH1AP+cfI9OHoKVRGnufS9oV+DaxGnq6pJG2f5uePpzM7sLDnJHAYsPIMGjxWtaAgIXS8VCf1AxrJM0BLEekQT4DPF94CFXa5wbAqbZ/J+mwjHozpO8zDfiv8vAlwpV9GqImch7br0g6FrgTGOpB6khgP0lvETWi1bVl5gLaf5C0JwVTbtMu/VyVp0TKGqjMDq+x/VwubaCJwLhxbI8CRkk60/aTMHEnfcZc2RJtum/LZMMQN4xqKYyk8cCqjr6RCwAXAefYPr5eG90y+KR2AWsPhxQpAEnzD/R8dcNvGRpI+gZhWjQtcV35je3SASqSrgT+StTMLU+YF41pwulW0gy2X3v/f/lf//91P4te1+/WzyIvDaXcngqMtn1mOn6MqAGfDphge+dc2sMdSecTbXjeBcYS6b7H2z5m0LXaILVlcmEoG0a1lEfSA7Y/VjuekZhQPgis1U5q8pHaPS1GOHm/VZ0v6Hra0pKNZJx0P1AtPvSaaNneeJIfyjOO6Ym6zPG2H5U0N7CU7Wszan4EmJtoKfW2pDmJGrav2f5wRt07gTVTOv0I2++l87MAN+Ywdek2JM0GLEIsjgBg++bmRpQPSfcQvbZdHdcWKW61vcaA/0HLf0216CNpK2Lxa1/grhwZQW26b0tX8T5GOnOVHEvLkOc5SctWqcZpR3VDohH9Us0ObcjzVPqaOn21tAwl1mxSXNJatm9IAds9tp8AsP1sMj/Jpbsb8H3gMWCa5Gp9FNFyKrdR2Ced+i5XAWpiKmDbzNqNkxx2RwLzEM7SqwC3A2tl1Gwy5XbKDiOyr9Yez5pRtwWmUvTC3QT4qe13JGXZ8Wx3Ulu6CknPMYCRTs6V2JbhRepvNsF9NP6WtLo7+oC1tLS0TA7U20F0tobI1Soi/d8PAmvY/qek+Qizw9Vt35VDr6WHVL6yEnBH2uVaHDjc9hczajaWcitpHLBu5/077eRf1db55yP5eexDmMNtAMwHnGv7E4Ot1e6ktnQbw9IwqqU8tp8Z4Lk2QM1IMpTZm+gdWk9Ny7bq321Imn0YGUe1lEX9PO7reDB5szLLsf2UpEfaALUYb9p+UxKSprH9sKTFMmuuBOxUO37V9i4QKbeZtY8BrpD0XaBqqbQ8cGx6rhEkXWX7c03pl8D2CcAJtVNPSsqSPdIGqS1dhe3tBnhuy5JjaWlpycZ5hBPkhoQBw7bAC42OKCOKhvPH2v6HpBWJdg3vpZSpbZJrYkvLYOF+Hvd1PJjMI6k+eZ27fmx714zaw51nJM0KXAZcJ+klemqic9FYym1qdfQP4DBisdPAA8ABtq/KqS2pv0wEEQ7TQ5L+WkzVGHRPiTZIbWlpaWkpzey2q7Y/la392KYHlZENbO+bHh8DbG57rKRFgfOBFZsbWssQ5KOSLicmzdVj0nHO9hl7dRy3u6iFsP2F9PCg5J4+C/nbqL0n6UNVyq3t+2Fiyu17A/7kIODoZd5Eq7ixwCj6zkoYyvWwxVtMtUFqS0tLS0tp3knfn5W0AfA34AMNjic3U0qaMrXcmc72WADbf5I0TcNjaymIpFNt75hZ5vO1x8d2PNd5PGjYPivX/93SN8nB+R3b76TjxYi01ydtv51ZvitTbgvwELBTZRhVR9LTDYynCLZPSd8PLqXZGie1tLS0tBQluSjfAswLnEj0WTvY9uUD/uBkiqRdgI2AI4FPArMBlxDOmx+1/dUBfrxlMkNSfwsuAsbZnqfkeFqGLpJuBrZLLYYWBsYQ5RRLAGNrGRy59NcD9qN3yu2RuVNum0TSl4i2To/08dwmti9rYFhFSLWn3wEWT6ceIhx+b8qi1wapLS0tLS2lkDQFsKvt45oeS0kkfRr4JrAokcX0NFE/dka1C9IyNJD0LlEPWE8HdDr+iO227VLLoCBpvO2l0uNDgQ/Y/rakqYnelW07tZZBIWU9/RQ4BLibuJ4tD+wPfMf27wddsw1SW1paWlpKImmM7ZWbHkdLSw4kPQp8xvZTfTz3tO15GxhWyxBE0n1VuxVJtwHHVDt5ksbZXqbRAWZG0izAQUDV/mQUcIjtfxUcwxrAysD9tq8tpVua1GFjpO1xHeeXBk60/anB1hwx2P9hS0tLS0vL+3CbpJ9K+oSk5auvpgeVE0mLS/qMpBk7zq/X1JhasvETIqW7L44uOZCSSJpe0t6S9pI0raSvSbpc0tGd7/uWQeM+ScdK2h1YGLgWIDn9Dgd+CbwCfDl9vQKckVNQ0pja4x2I3cWZgAMlZU2vbpgPdQaoALbvA+bKIdjupLa0tLS0FCW5T3biodonNTU//zZRv7MssRr92/Tc3baHdIDeUpaUUr89MA9wdb3vs6T9bR+WSfc3RBr7dMBixPv918DGxAS3rb0eZCRNB4wE5gZ+WQURklYDFrJ9TpPjy42ke20v+37nBlnzHtvLpcdjgfVtvyBpBuCOoZpiLeku2yv8/z73v9C6+7a0tLS0FMV2lsbfXcwOwAq2/y1pAeAiSQvYPp6+2xi0TOZIWplYeBkraQlgPeDhHHVbfXAKMD1honOCpFG2q96GXyR6S+ZgUdtfliTgWeCzti3pVmCSHZiW/x3bbxCGbJ3nRwOjS4yh4ZTbNyStYfvWNJbVgTcya46QNBuRjSrbLwDYfk3ShMzaTbJQrZ1VHQEfzSHYBqktLS0tLUWQNA+wQG1CsQdQpQGeb/uxxgaXlxG2/w1g+y/JROkiSfPTBqlDDkkHAp8jWg9dB3wcuBHYV9Jytn+YeQgr1+oUfwqcJOkSYAsKvN9SYPp7p1S9dNym7Q1dfgncT6TbAnyVSLn9YgHtnYGzU6AM8BKwbWbNWYgewAIsaW7bz6aU9qF8Pf/8AM9laW3Vpvu2tLS0tBRB0gXAebavTMePAKcSuz6L296qyfHlQtINwB62762dm5KY3G1le4rGBtcy6EgaT6R1TwP8HZjH9ispNfPOKoDMqP+w7cU7zh0ArAvMaXuRTLqnAbtVCzK18wsBZ9leI4duS7M0kXJb01nQ9hOSZgZIn7MFbT+RW7uPsUwPzNWE9lClNU5qaWlpaSnFYlWAmnjd9o9sHwrM19SgCrANEaxMxPYE29sQfVNbhhYTbL9r+3Xgz7ZfgYmpme8V0P9jpyGX7UOI3a0Fcona3r4zQE3n/0xPKmjL0OON5HALFEu5rbgYIjitPmfARYW0e2H79TZAHVzadN+WlpaWllJM23H8mdrjD5YcSElsPzPAc7f191zLZMvbkqZPQepEM5GUkpg9SLW9dT/nTwNOy6ndcC3usKMpk6wOvgmcld7fAv4JfC2noKTFgY8Bs0iqpxXPzKT3mZbJlDZIbWlpaWkpxauSFrX9JwDb/4SJE45XGx1ZS8vg8UnbbwHYrgelU5G/Xg5oJljsglrc4UhTJlkTSWUMy9RTbnNrEu7RGwKzAhvVzr9KGNW1DAHamtSWlpaWliKkFMQTgB8Cd6fTKwD7EW1ZrmpqbC0tQ4V6sAjUg8W1gWtyBYtN1+IORyTdVzPJmhI4ichK2YJoh7JcRu2tbZ+bDPAmwfaPc2nXxrCq7dtz67SApA8BBxLZIAcAuwCbEq2mRtp+drA1253UlpaWlpYi2L46pWbtDeyaTt8PfNH2/c2NrKVlSPEl+g4WjwXuJBaJcjDB9rvA65J61eJKKlGLOxyZunpgewKwYzLJuoEe5/RczJC+z5RZZyDukfRtIvV3Ypqv7W80N6Qhy5nA74jX/UbgPGB9YBPgZAZ2//2vaHdSW1paWlpaWlqGCJLuqXbQ6o/TcTbXVUl3Amvafl3SiCrVOdUq3mh7+Ry6wxlJ5wLn2r664/z2wM9tT9XQuGaw/VoBnQuBh4EtgUOArYCHbI/MrT3c6LiuPGV7vtpzWa4rrbtvS0tLS0tLS8vQ4e3UDgPKGjd9MplFNVaLO9ywvXVngJrOn1YiQJX0EUkrSpo6Hc8p6XDg0dzaiYVt/wB4zfZZwAZEenvL4FOPGc8e4Lksgi0tLS0tLS0tLZM3jQSLlVlUH+f/YXt8Lt2W3kjqDCBy6ewG3AucCNyRdm8fAqajtjiSmXfS95clLQnMAsxZSHu48VtJMwLY3r86KWlh4E85BNt035aWlpaWlpaWlpbJDEmXd54C1iRqUrG9cUbtB4E1bP9T0nxEoLK67btyafYxhu2JXqlLE32AZwQOsH1yqTG05KMNUltaWlpaiiJpHmL1fQ3AwC2EO2C//URbWlpaWnoj6W7gQaL/rYkg9QLgKwC2R+XUrtcZSxpne5lcei3dhaQ1gJWB+21fm0WjDVJbWlpaWkqSeiieD5yTTm0NbGV77eZG1dLS0jJ5IWkEMJJwWd3L9r2SHrf90QLazwO/qp36Sv3Y9q6T/NDgaffZ9qamnb39zXBD0hjbK6fHOwDfBi4F1gGusH3koGu2QWpLS0tLS0n6cgLM6Tra0tLSMpRJ2SnHAc8BG9edVzNqDljfnIyMcmm/R9TDXgW8Rewg17UPzqU9XOlw9x0LrG/7BUkzED15lxpszbZPaktLS0tLaV6UtDWRlgbReP7FBsfT0tLSMtmSSiU2k7QB8EohzWxB6H/AcsR9YwPgLuJecr3bnbecjJA0G2G6K9svANh+TdKEHILtTmpLS0tLS1EkzU/UpK5K1FGNBna1/VSjA2tpaWlpmayQtBoRsH4W2Md2p5lUyyAg6S9ECysR9+3VbT+bHH9vzZEJ1e6ktrS0tLQUxfaTQDbXyZaWlpaWoY+kOYhd1aWAZ4Dnmx3R0MX2Av089R7whRya7U5qS0tLS0sRJO1t+2hJJ/L/2rvXGLuqMg7jz78UQksFRaQQ7iJyCTYUEC/lUhFQwHAzmKBREYOXKEi8KxCuIRBiEDDhg0SRRBFFURQDKAgIAUopt0LBxFAEwy2IaFGM6OuHvQYOw7SdoZ1zZobnl5ycfdbaZ7/vPvNh8u619l7dldiXGc8HbUiSpoYkRwEfAtYGLgN+UlUWqFOMI6mSpH5Z0t4XDjQLSdIqSTIT+DzdBcfz6Z7uexjwAHBqVS0bx/AXAouBh4H3AfslLz07aTzXh1X/OJIqSRq4JJt7T6okTQ5JfgI8AswAtqW7CHkp3a0cG1XVR8cx9l4r6h/P9WHVPxapkqS+SfIuYBPgxqp6Mskc4OvAHlW12WCzkySNxtCyYemGMB8DNq6qap/vrqo5A05Rk9y0QScgSXptSHI28D3gg8CVSU4HrgFuA7YZZG6SpLFry778Zmj5l/buCJhWmfekSpL65UBgblU939ZbewTYsaqWDjYtSdIYLUwyq6qWVdVRQ41Jtgb+McC8NEU43VeS1BdJFlXVzj2f76yquYPMSZK0eiVJWWBoFVmkSpL6IsnfgBt7mvbs/ewTGSVp8kpycVV9rA9x1gO+ARwCbEg3vfhJ4JfAmVX1t/HOQePPIlWS1Bc+kVGSpoYkVwxvAt4DXAfje9ExydUtzg+q6vHWthHwceC9VbXfeMVW/1ikSpIkSRq1JIuA++nWLC26IvUSuvVSx/WiY5IHq2rbsfZpcvHpvpIkSZLGYlfgDuB44Nmquh74V1Xd0IdZMQ8n+WqS2UMNSWYn+RrdA/k0BTiSKkmSJGnMkmwKnAM8ARxUVZv3IeYb6NbXPpjunlRa/CuAs6rqr+Odg8afRaokaWCSbFhVTw46D0nSq5fkQGBeVX1z0LloarBIlST1RZL1hzfRTRebS/f/yKvfkqQxSbI7sBuwuKquGXQ+Wj0sUiVJfZHkf8DDw5o3BR4Fqqre3P+sJEmTSZIFVbVb2z4a+BxwOUu1KngAAAYNSURBVLAf8KuqOnOQ+Wn1sEiVJPVFki8B+wJfqap7W9tDVbXVYDOTJE0WSe6sqrlt+3bggKp6Ksk6wK1V9bbBZqjVYfqgE5AkvTZU1beSXAqck+QR4CS6pQskSRqtae3hSdPoBtyeAqiq55K8MNjUtLpYpEqS+qaqHgUOT3IQ8Ftg5oBTkiRNLuvRPc8gQCXZuKoeSzKrtWkKcLqvJGkgkswAtq6qxYPORZI0uSWZCcyuqocGnYtWnUWqJKlvkmwHbALcVlXLetrfX1VXDS4zSZI0UUwbdAKSpNeGJMcCvwSOARYnObin+4zBZCVJkiYa70mVJPXL0cAuVbUsyZbAZUm2rKpz8T4iSZLUWKRKkvpl2tAU36pammQ+XaG6BRapkiSpcbqvJKlfnkiy09CHVrB+ANgAcF07SZIE+OAkSVKfJNkUeKGqHh+hb15V3TyAtCRJ0gRjkSpJkiRJmjCc7itJkiRJmjAsUiVJkiRJE4ZFqiRJwyTZMsniYW0nJ/nySr63a5LzltO3NMkGY8jhyCTfGe3+I3z/+iS7jmH/i5I8lOSu9jp2vGK9GkmOS3Jrkp8m8UFbkjSFuQSNJEmrSVUtBBYOOo9V8JWqumy8gyRZo6r+O5bvVNW3gW+PU0qSpAnEkVRJksaojRyelWRBkj8m2aO1z0/y67b9xiTXJLkvyYX0rAWb5BdJ7mh9n+pp/0Q73gJgXk/7m5L8LMnt7TWPYZLMSPLjJEuSXA7M6Om7IMnCFu+UMZznOkm+187zziQHjyLWfkluSbKojXrOau1L22+2CDg8ydHtXO5u5zaz7Tc7yeWt/a42Oj0rybXtmPcO5dH2/2KSxe113GjPTZI0cTmSKknSqzO9qnZLcgBwErDPsP6TgJuq6tQkBwKf7Ok7qqr+mmQGcHuSnwFrAacAuwDPAr8H7mz7nwucU1U3JdkcuBrYfli8zwL/rKrtk8wBFvX0Hd/irQFcm2ROVd0zwjmdneSEtv1R4Ajguqo6KsnrgQVJfgd8eqRYbTrzCcA+VfVckq8BXwRObcd8uqp2bvu+saq+27ZPb7/P+cB5LeahSaYDM4HngUOr6u8txq1JrgB2Bj4BvIPuIsBtSW6oqqHfTZI0CVmkSpL0Sstbn623/eft/Q5gyxH23RM4DKCqrkzyTE/fsUkObdubAdsAGwHXV9VTAEkuBd7a9tkH2CF5cTB23SSzqmrZsHjntXj3JOktQj/URmynAxsDOwAjFakvm+6b5PvAQT334q4NbL6CWO9sx7655boWcEvP8S/t2d6xFaevB2bRFd4Ae9MVyFTVC8Dfk6wJnJFkT+B/wCbAbGB34PKqeq7l+3NgD14q7iVJk5BFqiRJr/Q08IZhbesDD/V8/nd7/y9j+H+aZD5d0fmuqvpnkuvpir8VmQa8s6qeH22cnnhbAV8G3l5VzyS5aBTxXvw68MGqenDYMVe0/2+r6ojl9D/Xs30RcEhV3Z3kSGD+CvL4CPAmYJeq+k+SpYz+HCRJk4z3pEqSNEwboXwsyd4ASdYH3g/cNIbD3Ah8uH1/f14qetcDnmkF6nZ0o48AtwF7tXtZ1wQO7znWNcAxQx+S7LSSeDsCc1r7unTF4bNJZgP7j+EcrgaOSatKk8xdSaxbgXlJ3tL61knyVkb2OrrfeE26InTItXTTiUkyPcm6dL/Zk61AfQ+wRdv3D8AhSWYmWQc4tLVJkiYxi1RJkkb2MeDEJHcB1wGnVNWfxvD9U4A9k9xHN+33z639KmB6kiXAmXSFHVX1GHAy3fTYm4ElPcc6Ftg1yT1J7gc+M0K8C4BZ7bin0k1Dpqruppv++gDwo3bs0ToNWBO4p53HaSuJ9RRwJHBJmwJ8C7Ddco59Il1hfnPLbcgXgH2T/IXuXtdtgB+287+X7u/yQIu3iG5EdkE71oXejypJk1+qlnfbjSRJ0mAkeTewbVV9f9C5SJL6y5FUSZI0oSQ5AriY5T/ASpI0hTmSKkmSJEmaMBxJlSRJkiRNGBapkiRJkqQJwyJVkiRJkjRhWKRKkiRJkiYMi1RJkiRJ0oRhkSpJkiRJmjD+D3dTG79T6rjxAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 566
        },
        "id": "9AaBDBxnF3ii",
        "outputId": "fb07e573-fb80-4830-e5d4-7621c245ee9b"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker\n",
        "\n",
        "ax = dados.sort_values(by=\"2010/Mar\", ascending=False).plot(x=\"Unidade da Federação\", y=\"2010/Mar\", kind=\"bar\", figsize=(15,7))\n",
        "ax.yaxis.set_major_formatter(ticker.StrMethodFormatter(\"R$ {x:,.2f}\"))\n",
        "plt.title(\"Valor total gasto nos procedimentos hospitalares por unidade da federação\")\n",
        "plt.show()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dImHP2jfOut9"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}