Waec.ipynb

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    "colab": {
      "name": "Waec.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOlf/ChhH3sQ4sg3/loq5Pr",
      "include_colab_link": true
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/minat-hub/She-Code-Africa-Mentorship-Tasks/blob/main/Waec.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dCrorNhx46em"
      },
      "source": [
        "Examinations in Nigerian schools dated back to the advent of formal education in the country in the 1800s and it was patterned after the British system. As such, the 1987 Ordinance made provision for examinations in schools that have attained the requisite percentage of proficiency. Towards this end, all secondary schools in the country are expected to teach their subjects to meet the requirements of examination bodies for the senior secondary school certificate organized by the West African Examinations Council and the National Examinations Commission.\n",
        "\n",
        "\n",
        "This notebook is about my research into nigerian student population in ondo state 2006/2007 session. Nigeria seem to have little or no data on almost every sector. To make things worse the data available for free seem to exist just to frustrate the user. After an extensive research, I found a usable data on nigerian bureau of statictics website. According to Nigerian bureau of statistics, they have the world largest data repository...they only have slightly over 1000 records. Most of their data is in pdf format and the records they have just seems to be an iteration of the same kind of data(Lack of diversity in the data made available). There were no recent data for education in ondo state, the one i could find goes as far back as 2006/2007. I extracted the specific data needed for my analysis from pdf to excel. After sorting and cleaning the cells, I found out that most of the values for a particular column were incorrect. I did the maths again and inputted the correct values in the dataset i want to use. It seems the person that organized the original data didnt do the calculations and just inputted anything in the cells. The authencity and usefulness of this data has to be called into question because if a certain column had mostly wrong values; what does that say about the rest of the column. Were the data just fabricated and uploaded online?\n",
        "\n",
        "The dataset that was worked on in this notebook is an excel file on the secondary school student that wrote waec in ondo state in 2006/2007 and their performance."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RpV0CTJh1_oq"
      },
      "source": [
        "import pandas as pd\n",
        "from google.colab import files\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
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              "ok": true,
              "headers": [
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                  "content-type",
                  "application/javascript"
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              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        },
        "id": "LYNpl5IZ2tzs",
        "outputId": "0bec2bf7-878f-4a87-8fb6-840f7c9845d2"
      },
      "source": [
        "#getting file from device\n",
        "uploaded = files.upload()\n",
        "#the excel file used for this project can be found in this github repository https://github.com/minat-hub/She-Code-Africa-Mentorship-Tasks as waec.xlsx\n",
        "#the pdf from which the dataset was gotten from is also in the repository"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-c73532b2-f8f0-4979-b730-2ae6fbc1a78e\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-c73532b2-f8f0-4979-b730-2ae6fbc1a78e\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving Waec.xlsx to Waec.xlsx\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mj8LErYX5w3N"
      },
      "source": [
        "import io\n",
        "df2 = pd.read_excel(io.BytesIO(uploaded['Waec.xlsx']))\n",
        "# Dataset is now stored in a Pandas Dataframe"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "4uvFn4I061rX",
        "outputId": "80f41d38-2a73-4443-ef89-f68b10b097aa"
      },
      "source": [
        "df2\n",
        "#taking a look into our dataframe"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>S/N</th>\n",
              "      <th>SUBJECTS</th>\n",
              "      <th>NUMBER _REGISTERED</th>\n",
              "      <th>NUMBER_ABSENT</th>\n",
              "      <th>NUMBER_SAT</th>\n",
              "      <th>A1 _C6</th>\n",
              "      <th>%</th>\n",
              "      <th>D7_E8</th>\n",
              "      <th>%.1</th>\n",
              "      <th>A1_E8</th>\n",
              "      <th>%.2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>FURTHER MATHS</td>\n",
              "      <td>394</td>\n",
              "      <td>331</td>\n",
              "      <td>63</td>\n",
              "      <td>42</td>\n",
              "      <td>13</td>\n",
              "      <td>110</td>\n",
              "      <td>33</td>\n",
              "      <td>152</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>MATHEMATICS</td>\n",
              "      <td>31764</td>\n",
              "      <td>31358</td>\n",
              "      <td>406</td>\n",
              "      <td>9276</td>\n",
              "      <td>36</td>\n",
              "      <td>11642</td>\n",
              "      <td>37</td>\n",
              "      <td>20918</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>BIOLOGY</td>\n",
              "      <td>31754</td>\n",
              "      <td>11713</td>\n",
              "      <td>20041</td>\n",
              "      <td>11393</td>\n",
              "      <td>37</td>\n",
              "      <td>9350</td>\n",
              "      <td>30</td>\n",
              "      <td>20743</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>CHEMISTRY</td>\n",
              "      <td>11916</td>\n",
              "      <td>11685</td>\n",
              "      <td>231</td>\n",
              "      <td>1608</td>\n",
              "      <td>14</td>\n",
              "      <td>3523</td>\n",
              "      <td>20</td>\n",
              "      <td>5131</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>PHYSICS</td>\n",
              "      <td>11875</td>\n",
              "      <td>11685</td>\n",
              "      <td>190</td>\n",
              "      <td>6101</td>\n",
              "      <td>55</td>\n",
              "      <td>3199</td>\n",
              "      <td>27</td>\n",
              "      <td>9600</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>HEALTHSC.</td>\n",
              "      <td>92</td>\n",
              "      <td>88</td>\n",
              "      <td>4</td>\n",
              "      <td>17</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>28</td>\n",
              "      <td>42</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>AGRIC.SC.</td>\n",
              "      <td>25702</td>\n",
              "      <td>24829</td>\n",
              "      <td>873</td>\n",
              "      <td>7429</td>\n",
              "      <td>30</td>\n",
              "      <td>6935</td>\n",
              "      <td>38</td>\n",
              "      <td>14364</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>PHYSICAL EDUC.</td>\n",
              "      <td>32</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>25</td>\n",
              "      <td>6</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>ENGLISH</td>\n",
              "      <td>31762</td>\n",
              "      <td>31550</td>\n",
              "      <td>212</td>\n",
              "      <td>6900</td>\n",
              "      <td>21</td>\n",
              "      <td>12379</td>\n",
              "      <td>39</td>\n",
              "      <td>19279</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>YORUBA</td>\n",
              "      <td>30816</td>\n",
              "      <td>29124</td>\n",
              "      <td>1692</td>\n",
              "      <td>10291</td>\n",
              "      <td>35</td>\n",
              "      <td>3758</td>\n",
              "      <td>13</td>\n",
              "      <td>14049</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>HISTORY</td>\n",
              "      <td>442</td>\n",
              "      <td>377</td>\n",
              "      <td>65</td>\n",
              "      <td>38</td>\n",
              "      <td>10</td>\n",
              "      <td>90</td>\n",
              "      <td>24</td>\n",
              "      <td>128</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>C. R. K.</td>\n",
              "      <td>8721</td>\n",
              "      <td>8339</td>\n",
              "      <td>382</td>\n",
              "      <td>2306</td>\n",
              "      <td>28</td>\n",
              "      <td>2315</td>\n",
              "      <td>28</td>\n",
              "      <td>4621</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>COMMERCE</td>\n",
              "      <td>12307</td>\n",
              "      <td>11854</td>\n",
              "      <td>453</td>\n",
              "      <td>4992</td>\n",
              "      <td>42</td>\n",
              "      <td>2401</td>\n",
              "      <td>20</td>\n",
              "      <td>7393</td>\n",
              "      <td>62</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>14</td>\n",
              "      <td>ECONOMICS</td>\n",
              "      <td>31426</td>\n",
              "      <td>30959</td>\n",
              "      <td>467</td>\n",
              "      <td>12305</td>\n",
              "      <td>39</td>\n",
              "      <td>11129</td>\n",
              "      <td>36</td>\n",
              "      <td>23434</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>GEOGRAPHY</td>\n",
              "      <td>20434</td>\n",
              "      <td>19423</td>\n",
              "      <td>1011</td>\n",
              "      <td>7750</td>\n",
              "      <td>40</td>\n",
              "      <td>4663</td>\n",
              "      <td>24</td>\n",
              "      <td>12413</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>16</td>\n",
              "      <td>LITERATURE</td>\n",
              "      <td>9487</td>\n",
              "      <td>9041</td>\n",
              "      <td>446</td>\n",
              "      <td>2661</td>\n",
              "      <td>30</td>\n",
              "      <td>3304</td>\n",
              "      <td>37</td>\n",
              "      <td>5965</td>\n",
              "      <td>66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>17</td>\n",
              "      <td>ACCOUNTING</td>\n",
              "      <td>9229</td>\n",
              "      <td>8933</td>\n",
              "      <td>296</td>\n",
              "      <td>199</td>\n",
              "      <td>2</td>\n",
              "      <td>1758</td>\n",
              "      <td>20</td>\n",
              "      <td>1757</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>18</td>\n",
              "      <td>GOVERNMENT</td>\n",
              "      <td>15034</td>\n",
              "      <td>4415</td>\n",
              "      <td>10619</td>\n",
              "      <td>7932</td>\n",
              "      <td>55</td>\n",
              "      <td>2767</td>\n",
              "      <td>19</td>\n",
              "      <td>10699</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>19</td>\n",
              "      <td>ARABIC</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>67</td>\n",
              "      <td>1</td>\n",
              "      <td>33</td>\n",
              "      <td>3</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>20</td>\n",
              "      <td>FRENCH</td>\n",
              "      <td>23</td>\n",
              "      <td>17</td>\n",
              "      <td>6</td>\n",
              "      <td>10</td>\n",
              "      <td>59</td>\n",
              "      <td>4</td>\n",
              "      <td>24</td>\n",
              "      <td>14</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>21</td>\n",
              "      <td>HAUSA</td>\n",
              "      <td>31</td>\n",
              "      <td>7</td>\n",
              "      <td>24</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>22</td>\n",
              "      <td>IGBO</td>\n",
              "      <td>75</td>\n",
              "      <td>57</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>23</td>\n",
              "      <td>ISLAMIC STUDIES</td>\n",
              "      <td>286</td>\n",
              "      <td>253</td>\n",
              "      <td>33</td>\n",
              "      <td>56</td>\n",
              "      <td>22</td>\n",
              "      <td>47</td>\n",
              "      <td>18</td>\n",
              "      <td>103</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>24</td>\n",
              "      <td>YORUBA LIT.</td>\n",
              "      <td>53</td>\n",
              "      <td>52</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>25</td>\n",
              "      <td>APPL ELECTRONIC</td>\n",
              "      <td>32</td>\n",
              "      <td>11</td>\n",
              "      <td>21</td>\n",
              "      <td>2</td>\n",
              "      <td>18</td>\n",
              "      <td>7</td>\n",
              "      <td>64</td>\n",
              "      <td>9</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>26</td>\n",
              "      <td>AUTO MECHANIC</td>\n",
              "      <td>17</td>\n",
              "      <td>15</td>\n",
              "      <td>2</td>\n",
              "      <td>15</td>\n",
              "      <td>100</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>15</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>27</td>\n",
              "      <td>BUILDING CONSTRUCT</td>\n",
              "      <td>24</td>\n",
              "      <td>5</td>\n",
              "      <td>19</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>5</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>28</td>\n",
              "      <td>ELECTRONICS</td>\n",
              "      <td>85</td>\n",
              "      <td>7</td>\n",
              "      <td>78</td>\n",
              "      <td>6</td>\n",
              "      <td>86</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>7</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>29</td>\n",
              "      <td>METAL WORK</td>\n",
              "      <td>14</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>67</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>30</td>\n",
              "      <td>TECH DRAW</td>\n",
              "      <td>181</td>\n",
              "      <td>153</td>\n",
              "      <td>28</td>\n",
              "      <td>100</td>\n",
              "      <td>61</td>\n",
              "      <td>37</td>\n",
              "      <td>23</td>\n",
              "      <td>137</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>31</td>\n",
              "      <td>WOOD WORK</td>\n",
              "      <td>2</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>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>32</td>\n",
              "      <td>TYPE WRITING</td>\n",
              "      <td>147</td>\n",
              "      <td>137</td>\n",
              "      <td>10</td>\n",
              "      <td>117</td>\n",
              "      <td>84</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>124</td>\n",
              "      <td>89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>33</td>\n",
              "      <td>SHORT HAND</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>3</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>34</td>\n",
              "      <td>CLOTH AND TEXTILE</td>\n",
              "      <td>110</td>\n",
              "      <td>34</td>\n",
              "      <td>76</td>\n",
              "      <td>11</td>\n",
              "      <td>12</td>\n",
              "      <td>15</td>\n",
              "      <td>17</td>\n",
              "      <td>26</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>35</td>\n",
              "      <td>FOOD AND NUTRITION</td>\n",
              "      <td>552</td>\n",
              "      <td>494</td>\n",
              "      <td>58</td>\n",
              "      <td>156</td>\n",
              "      <td>32</td>\n",
              "      <td>196</td>\n",
              "      <td>39</td>\n",
              "      <td>352</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>36</td>\n",
              "      <td>HOME MANGEMENT</td>\n",
              "      <td>256</td>\n",
              "      <td>233</td>\n",
              "      <td>23</td>\n",
              "      <td>30</td>\n",
              "      <td>15</td>\n",
              "      <td>154</td>\n",
              "      <td>77</td>\n",
              "      <td>184</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>37</td>\n",
              "      <td>MUSIC</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>38</td>\n",
              "      <td>VISUAL ART</td>\n",
              "      <td>338</td>\n",
              "      <td>306</td>\n",
              "      <td>32</td>\n",
              "      <td>37</td>\n",
              "      <td>12</td>\n",
              "      <td>79</td>\n",
              "      <td>107</td>\n",
              "      <td>144</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    S/N            SUBJECTS  NUMBER _REGISTERED  ...  %.1  A1_E8  %.2\n",
              "0     1       FURTHER MATHS                 394  ...   33    152   46\n",
              "1     2         MATHEMATICS               31764  ...   37  20918   67\n",
              "2     3             BIOLOGY               31754  ...   30  20743   67\n",
              "3     4           CHEMISTRY               11916  ...   20   5131   43\n",
              "4     5             PHYSICS               11875  ...   27   9600   82\n",
              "5     6           HEALTHSC.                  92  ...   28     42   48\n",
              "6     7           AGRIC.SC.               25702  ...   38  14364   58\n",
              "7     8      PHYSICAL EDUC.                  32  ...   25      6   30\n",
              "8     9             ENGLISH               31762  ...   39  19279   61\n",
              "9    10              YORUBA               30816  ...   13  14049   48\n",
              "10   11             HISTORY                 442  ...   24    128   34\n",
              "11   12            C. R. K.                8721  ...   28   4621   56\n",
              "12   13            COMMERCE               12307  ...   20   7393   62\n",
              "13   14           ECONOMICS               31426  ...   36  23434   76\n",
              "14   15           GEOGRAPHY               20434  ...   24  12413   64\n",
              "15   16          LITERATURE                9487  ...   37   5965   66\n",
              "16   17          ACCOUNTING                9229  ...   20   1757   22\n",
              "17   18          GOVERNMENT               15034  ...   19  10699   74\n",
              "18   19              ARABIC                   4  ...   33      3  100\n",
              "19   20              FRENCH                  23  ...   24     14   82\n",
              "20   21               HAUSA                  31  ...   14      1   14\n",
              "21   22                IGBO                  75  ...    2      1    2\n",
              "22   23     ISLAMIC STUDIES                 286  ...   18    103   39\n",
              "23   24         YORUBA LIT.                  53  ...    0      0    0\n",
              "24   25     APPL ELECTRONIC                  32  ...   64      9   81\n",
              "25   26       AUTO MECHANIC                  17  ...   80     15  100\n",
              "26   27  BUILDING CONSTRUCT                  24  ...   80      5  100\n",
              "27   28         ELECTRONICS                  85  ...   14      7  100\n",
              "28   29          METAL WORK                  14  ...    0      4   67\n",
              "29   30           TECH DRAW                 181  ...   23    137   84\n",
              "30   31           WOOD WORK                   2  ...    0      0    0\n",
              "31   32        TYPE WRITING                 147  ...    5    124   89\n",
              "32   33          SHORT HAND                   3  ...    0      0    0\n",
              "33   34   CLOTH AND TEXTILE                 110  ...   17     26   29\n",
              "34   35  FOOD AND NUTRITION                 552  ...   39    352   71\n",
              "35   36      HOME MANGEMENT                 256  ...   77    184   92\n",
              "36   37               MUSIC                   1  ...    0      0    0\n",
              "37   38          VISUAL ART                 338  ...  107    144   47\n",
              "\n",
              "[38 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 288
        },
        "id": "R5yNWL1J6_9e",
        "outputId": "71ab8f31-863a-4d3a-da33-b39edae9a9b5"
      },
      "source": [
        "df2.describe()\n",
        "#getting statistics of columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>S/N</th>\n",
              "      <th>NUMBER _REGISTERED</th>\n",
              "      <th>NUMBER_ABSENT</th>\n",
              "      <th>NUMBER_SAT</th>\n",
              "      <th>A1 _C6</th>\n",
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              "      <th>D7_E8</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.00000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>38.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>19.500000</td>\n",
              "      <td>7511.078947</td>\n",
              "      <td>6513.684211</td>\n",
              "      <td>997.394737</td>\n",
              "      <td>2415.50000</td>\n",
              "      <td>30.684211</td>\n",
              "      <td>2102.921053</td>\n",
              "      <td>28.815789</td>\n",
              "      <td>4521.657895</td>\n",
              "      <td>55.289474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>11.113055</td>\n",
              "      <td>11402.191969</td>\n",
              "      <td>10357.115546</td>\n",
              "      <td>3610.920281</td>\n",
              "      <td>3871.05925</td>\n",
              "      <td>26.663170</td>\n",
              "      <td>3569.739111</td>\n",
              "      <td>24.528919</td>\n",
              "      <td>7198.767827</td>\n",
              "      <td>30.952368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>10.250000</td>\n",
              "      <td>32.000000</td>\n",
              "      <td>15.500000</td>\n",
              "      <td>10.500000</td>\n",
              "      <td>2.50000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>14.750000</td>\n",
              "      <td>6.250000</td>\n",
              "      <td>35.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>19.500000</td>\n",
              "      <td>271.000000</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>45.500000</td>\n",
              "      <td>40.00000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>63.000000</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>132.500000</td>\n",
              "      <td>61.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>28.750000</td>\n",
              "      <td>11905.750000</td>\n",
              "      <td>11024.000000</td>\n",
              "      <td>360.500000</td>\n",
              "      <td>4409.25000</td>\n",
              "      <td>41.500000</td>\n",
              "      <td>3091.000000</td>\n",
              "      <td>36.750000</td>\n",
              "      <td>7036.000000</td>\n",
              "      <td>79.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>38.000000</td>\n",
              "      <td>31764.000000</td>\n",
              "      <td>31550.000000</td>\n",
              "      <td>20041.000000</td>\n",
              "      <td>12305.00000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>12379.000000</td>\n",
              "      <td>107.000000</td>\n",
              "      <td>23434.000000</td>\n",
              "      <td>100.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             S/N  NUMBER _REGISTERED  ...         A1_E8         %.2\n",
              "count  38.000000           38.000000  ...     38.000000   38.000000\n",
              "mean   19.500000         7511.078947  ...   4521.657895   55.289474\n",
              "std    11.113055        11402.191969  ...   7198.767827   30.952368\n",
              "min     1.000000            1.000000  ...      0.000000    0.000000\n",
              "25%    10.250000           32.000000  ...      6.250000   35.250000\n",
              "50%    19.500000          271.000000  ...    132.500000   61.500000\n",
              "75%    28.750000        11905.750000  ...   7036.000000   79.750000\n",
              "max    38.000000        31764.000000  ...  23434.000000  100.000000\n",
              "\n",
              "[8 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G4lQ92Pv81NJ",
        "outputId": "01398824-2cab-48ee-c4d8-1a9830067dbf"
      },
      "source": [
        "df2.info()\n",
        "#column details"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 38 entries, 0 to 37\n",
            "Data columns (total 11 columns):\n",
            " #   Column              Non-Null Count  Dtype \n",
            "---  ------              --------------  ----- \n",
            " 0   S/N                 38 non-null     int64 \n",
            " 1   SUBJECTS            38 non-null     object\n",
            " 2   NUMBER _REGISTERED  38 non-null     int64 \n",
            " 3   NUMBER_ABSENT       38 non-null     int64 \n",
            " 4   NUMBER_SAT          38 non-null     int64 \n",
            " 5   A1 _C6              38 non-null     int64 \n",
            " 6   %                   38 non-null     int64 \n",
            " 7   D7_E8               38 non-null     int64 \n",
            " 8   %.1                 38 non-null     int64 \n",
            " 9   A1_E8               38 non-null     int64 \n",
            " 10  %.2                 38 non-null     int64 \n",
            "dtypes: int64(10), object(1)\n",
            "memory usage: 3.4+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8fU2NZWV8-0h",
        "outputId": "73800c7f-e1bd-4819-93b4-078eed8ad017"
      },
      "source": [
        "df2.shape\n",
        "#getting dataframe shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(38, 11)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q0Dc-xe29JDR",
        "outputId": "acba056d-a2ca-49aa-93be-49f5c73df429"
      },
      "source": [
        "df2.isnull().sum() \n",
        "#checking for null values"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "S/N                   0\n",
              "SUBJECTS              0\n",
              "NUMBER _REGISTERED    0\n",
              "NUMBER_ABSENT         0\n",
              "NUMBER_SAT            0\n",
              "A1 _C6                0\n",
              "%                     0\n",
              "D7_E8                 0\n",
              "%.1                   0\n",
              "A1_E8                 0\n",
              "%.2                   0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RfMYIBcQHY1X",
        "outputId": "6092348b-c549-4d21-ced1-763646e972bb"
      },
      "source": [
        "#renaming columns names\n",
        "df2.columns = ['S/N','SUBJECTS','NUMBER_REGISTERED','NUMBER_ABSENT','NUMBER_SAT', 'A1_C6', 'perct', 'D7_E8', 'perct_1', 'A1_E8', 'perct_2']\n",
        "df2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>S/N</th>\n",
              "      <th>SUBJECTS</th>\n",
              "      <th>NUMBER_REGISTERED</th>\n",
              "      <th>NUMBER_ABSENT</th>\n",
              "      <th>NUMBER_SAT</th>\n",
              "      <th>A1_C6</th>\n",
              "      <th>perct</th>\n",
              "      <th>D7_E8</th>\n",
              "      <th>perct_1</th>\n",
              "      <th>A1_E8</th>\n",
              "      <th>perct_2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>FURTHER MATHS</td>\n",
              "      <td>394</td>\n",
              "      <td>331</td>\n",
              "      <td>63</td>\n",
              "      <td>42</td>\n",
              "      <td>13</td>\n",
              "      <td>110</td>\n",
              "      <td>33</td>\n",
              "      <td>152</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>MATHEMATICS</td>\n",
              "      <td>31764</td>\n",
              "      <td>31358</td>\n",
              "      <td>406</td>\n",
              "      <td>9276</td>\n",
              "      <td>36</td>\n",
              "      <td>11642</td>\n",
              "      <td>37</td>\n",
              "      <td>20918</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>BIOLOGY</td>\n",
              "      <td>31754</td>\n",
              "      <td>11713</td>\n",
              "      <td>20041</td>\n",
              "      <td>11393</td>\n",
              "      <td>37</td>\n",
              "      <td>9350</td>\n",
              "      <td>30</td>\n",
              "      <td>20743</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>CHEMISTRY</td>\n",
              "      <td>11916</td>\n",
              "      <td>11685</td>\n",
              "      <td>231</td>\n",
              "      <td>1608</td>\n",
              "      <td>14</td>\n",
              "      <td>3523</td>\n",
              "      <td>20</td>\n",
              "      <td>5131</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>PHYSICS</td>\n",
              "      <td>11875</td>\n",
              "      <td>11685</td>\n",
              "      <td>190</td>\n",
              "      <td>6101</td>\n",
              "      <td>55</td>\n",
              "      <td>3199</td>\n",
              "      <td>27</td>\n",
              "      <td>9600</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>HEALTHSC.</td>\n",
              "      <td>92</td>\n",
              "      <td>88</td>\n",
              "      <td>4</td>\n",
              "      <td>17</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>28</td>\n",
              "      <td>42</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>AGRIC.SC.</td>\n",
              "      <td>25702</td>\n",
              "      <td>24829</td>\n",
              "      <td>873</td>\n",
              "      <td>7429</td>\n",
              "      <td>30</td>\n",
              "      <td>6935</td>\n",
              "      <td>38</td>\n",
              "      <td>14364</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>PHYSICAL EDUC.</td>\n",
              "      <td>32</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>25</td>\n",
              "      <td>6</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>ENGLISH</td>\n",
              "      <td>31762</td>\n",
              "      <td>31550</td>\n",
              "      <td>212</td>\n",
              "      <td>6900</td>\n",
              "      <td>21</td>\n",
              "      <td>12379</td>\n",
              "      <td>39</td>\n",
              "      <td>19279</td>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>YORUBA</td>\n",
              "      <td>30816</td>\n",
              "      <td>29124</td>\n",
              "      <td>1692</td>\n",
              "      <td>10291</td>\n",
              "      <td>35</td>\n",
              "      <td>3758</td>\n",
              "      <td>13</td>\n",
              "      <td>14049</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>HISTORY</td>\n",
              "      <td>442</td>\n",
              "      <td>377</td>\n",
              "      <td>65</td>\n",
              "      <td>38</td>\n",
              "      <td>10</td>\n",
              "      <td>90</td>\n",
              "      <td>24</td>\n",
              "      <td>128</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>C. R. K.</td>\n",
              "      <td>8721</td>\n",
              "      <td>8339</td>\n",
              "      <td>382</td>\n",
              "      <td>2306</td>\n",
              "      <td>28</td>\n",
              "      <td>2315</td>\n",
              "      <td>28</td>\n",
              "      <td>4621</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13</td>\n",
              "      <td>COMMERCE</td>\n",
              "      <td>12307</td>\n",
              "      <td>11854</td>\n",
              "      <td>453</td>\n",
              "      <td>4992</td>\n",
              "      <td>42</td>\n",
              "      <td>2401</td>\n",
              "      <td>20</td>\n",
              "      <td>7393</td>\n",
              "      <td>62</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>14</td>\n",
              "      <td>ECONOMICS</td>\n",
              "      <td>31426</td>\n",
              "      <td>30959</td>\n",
              "      <td>467</td>\n",
              "      <td>12305</td>\n",
              "      <td>39</td>\n",
              "      <td>11129</td>\n",
              "      <td>36</td>\n",
              "      <td>23434</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>GEOGRAPHY</td>\n",
              "      <td>20434</td>\n",
              "      <td>19423</td>\n",
              "      <td>1011</td>\n",
              "      <td>7750</td>\n",
              "      <td>40</td>\n",
              "      <td>4663</td>\n",
              "      <td>24</td>\n",
              "      <td>12413</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>16</td>\n",
              "      <td>LITERATURE</td>\n",
              "      <td>9487</td>\n",
              "      <td>9041</td>\n",
              "      <td>446</td>\n",
              "      <td>2661</td>\n",
              "      <td>30</td>\n",
              "      <td>3304</td>\n",
              "      <td>37</td>\n",
              "      <td>5965</td>\n",
              "      <td>66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>17</td>\n",
              "      <td>ACCOUNTING</td>\n",
              "      <td>9229</td>\n",
              "      <td>8933</td>\n",
              "      <td>296</td>\n",
              "      <td>199</td>\n",
              "      <td>2</td>\n",
              "      <td>1758</td>\n",
              "      <td>20</td>\n",
              "      <td>1757</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>18</td>\n",
              "      <td>GOVERNMENT</td>\n",
              "      <td>15034</td>\n",
              "      <td>4415</td>\n",
              "      <td>10619</td>\n",
              "      <td>7932</td>\n",
              "      <td>55</td>\n",
              "      <td>2767</td>\n",
              "      <td>19</td>\n",
              "      <td>10699</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>19</td>\n",
              "      <td>ARABIC</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>67</td>\n",
              "      <td>1</td>\n",
              "      <td>33</td>\n",
              "      <td>3</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>20</td>\n",
              "      <td>FRENCH</td>\n",
              "      <td>23</td>\n",
              "      <td>17</td>\n",
              "      <td>6</td>\n",
              "      <td>10</td>\n",
              "      <td>59</td>\n",
              "      <td>4</td>\n",
              "      <td>24</td>\n",
              "      <td>14</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>21</td>\n",
              "      <td>HAUSA</td>\n",
              "      <td>31</td>\n",
              "      <td>7</td>\n",
              "      <td>24</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>22</td>\n",
              "      <td>IGBO</td>\n",
              "      <td>75</td>\n",
              "      <td>57</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>23</td>\n",
              "      <td>ISLAMIC STUDIES</td>\n",
              "      <td>286</td>\n",
              "      <td>253</td>\n",
              "      <td>33</td>\n",
              "      <td>56</td>\n",
              "      <td>22</td>\n",
              "      <td>47</td>\n",
              "      <td>18</td>\n",
              "      <td>103</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>24</td>\n",
              "      <td>YORUBA LIT.</td>\n",
              "      <td>53</td>\n",
              "      <td>52</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>25</td>\n",
              "      <td>APPL ELECTRONIC</td>\n",
              "      <td>32</td>\n",
              "      <td>11</td>\n",
              "      <td>21</td>\n",
              "      <td>2</td>\n",
              "      <td>18</td>\n",
              "      <td>7</td>\n",
              "      <td>64</td>\n",
              "      <td>9</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>26</td>\n",
              "      <td>AUTO MECHANIC</td>\n",
              "      <td>17</td>\n",
              "      <td>15</td>\n",
              "      <td>2</td>\n",
              "      <td>15</td>\n",
              "      <td>100</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>15</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>27</td>\n",
              "      <td>BUILDING CONSTRUCT</td>\n",
              "      <td>24</td>\n",
              "      <td>5</td>\n",
              "      <td>19</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>4</td>\n",
              "      <td>80</td>\n",
              "      <td>5</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>28</td>\n",
              "      <td>ELECTRONICS</td>\n",
              "      <td>85</td>\n",
              "      <td>7</td>\n",
              "      <td>78</td>\n",
              "      <td>6</td>\n",
              "      <td>86</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>7</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>29</td>\n",
              "      <td>METAL WORK</td>\n",
              "      <td>14</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>67</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>30</td>\n",
              "      <td>TECH DRAW</td>\n",
              "      <td>181</td>\n",
              "      <td>153</td>\n",
              "      <td>28</td>\n",
              "      <td>100</td>\n",
              "      <td>61</td>\n",
              "      <td>37</td>\n",
              "      <td>23</td>\n",
              "      <td>137</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>31</td>\n",
              "      <td>WOOD WORK</td>\n",
              "      <td>2</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>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>32</td>\n",
              "      <td>TYPE WRITING</td>\n",
              "      <td>147</td>\n",
              "      <td>137</td>\n",
              "      <td>10</td>\n",
              "      <td>117</td>\n",
              "      <td>84</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>124</td>\n",
              "      <td>89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>33</td>\n",
              "      <td>SHORT HAND</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>3</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>34</td>\n",
              "      <td>CLOTH AND TEXTILE</td>\n",
              "      <td>110</td>\n",
              "      <td>34</td>\n",
              "      <td>76</td>\n",
              "      <td>11</td>\n",
              "      <td>12</td>\n",
              "      <td>15</td>\n",
              "      <td>17</td>\n",
              "      <td>26</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>35</td>\n",
              "      <td>FOOD AND NUTRITION</td>\n",
              "      <td>552</td>\n",
              "      <td>494</td>\n",
              "      <td>58</td>\n",
              "      <td>156</td>\n",
              "      <td>32</td>\n",
              "      <td>196</td>\n",
              "      <td>39</td>\n",
              "      <td>352</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>36</td>\n",
              "      <td>HOME MANGEMENT</td>\n",
              "      <td>256</td>\n",
              "      <td>233</td>\n",
              "      <td>23</td>\n",
              "      <td>30</td>\n",
              "      <td>15</td>\n",
              "      <td>154</td>\n",
              "      <td>77</td>\n",
              "      <td>184</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>37</td>\n",
              "      <td>MUSIC</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>38</td>\n",
              "      <td>VISUAL ART</td>\n",
              "      <td>338</td>\n",
              "      <td>306</td>\n",
              "      <td>32</td>\n",
              "      <td>37</td>\n",
              "      <td>12</td>\n",
              "      <td>79</td>\n",
              "      <td>107</td>\n",
              "      <td>144</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    S/N            SUBJECTS  NUMBER_REGISTERED  ...  perct_1  A1_E8  perct_2\n",
              "0     1       FURTHER MATHS                394  ...       33    152       46\n",
              "1     2         MATHEMATICS              31764  ...       37  20918       67\n",
              "2     3             BIOLOGY              31754  ...       30  20743       67\n",
              "3     4           CHEMISTRY              11916  ...       20   5131       43\n",
              "4     5             PHYSICS              11875  ...       27   9600       82\n",
              "5     6           HEALTHSC.                 92  ...       28     42       48\n",
              "6     7           AGRIC.SC.              25702  ...       38  14364       58\n",
              "7     8      PHYSICAL EDUC.                 32  ...       25      6       30\n",
              "8     9             ENGLISH              31762  ...       39  19279       61\n",
              "9    10              YORUBA              30816  ...       13  14049       48\n",
              "10   11             HISTORY                442  ...       24    128       34\n",
              "11   12            C. R. K.               8721  ...       28   4621       56\n",
              "12   13            COMMERCE              12307  ...       20   7393       62\n",
              "13   14           ECONOMICS              31426  ...       36  23434       76\n",
              "14   15           GEOGRAPHY              20434  ...       24  12413       64\n",
              "15   16          LITERATURE               9487  ...       37   5965       66\n",
              "16   17          ACCOUNTING               9229  ...       20   1757       22\n",
              "17   18          GOVERNMENT              15034  ...       19  10699       74\n",
              "18   19              ARABIC                  4  ...       33      3      100\n",
              "19   20              FRENCH                 23  ...       24     14       82\n",
              "20   21               HAUSA                 31  ...       14      1       14\n",
              "21   22                IGBO                 75  ...        2      1        2\n",
              "22   23     ISLAMIC STUDIES                286  ...       18    103       39\n",
              "23   24         YORUBA LIT.                 53  ...        0      0        0\n",
              "24   25     APPL ELECTRONIC                 32  ...       64      9       81\n",
              "25   26       AUTO MECHANIC                 17  ...       80     15      100\n",
              "26   27  BUILDING CONSTRUCT                 24  ...       80      5      100\n",
              "27   28         ELECTRONICS                 85  ...       14      7      100\n",
              "28   29          METAL WORK                 14  ...        0      4       67\n",
              "29   30           TECH DRAW                181  ...       23    137       84\n",
              "30   31           WOOD WORK                  2  ...        0      0        0\n",
              "31   32        TYPE WRITING                147  ...        5    124       89\n",
              "32   33          SHORT HAND                  3  ...        0      0        0\n",
              "33   34   CLOTH AND TEXTILE                110  ...       17     26       29\n",
              "34   35  FOOD AND NUTRITION                552  ...       39    352       71\n",
              "35   36      HOME MANGEMENT                256  ...       77    184       92\n",
              "36   37               MUSIC                  1  ...        0      0        0\n",
              "37   38          VISUAL ART                338  ...      107    144       47\n",
              "\n",
              "[38 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BUsZ-RtG59dk",
        "outputId": "9870db35-897c-41b5-cbf0-0289e0ac476e"
      },
      "source": [
        "#checking the total number of students that sat for waec in ondo state 2006/2007\n",
        "df2['NUMBER_SAT'].sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "37901"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2TNA1OLq64p1",
        "outputId": "01a1b4d0-960a-40f8-e3a3-356c69ff20cc"
      },
      "source": [
        "df2['NUMBER_REGISTERED'].sum()\n",
        "#total number of people registered for waec in ondo 2006/2007"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "285421"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OAD08Rul7C8i",
        "outputId": "17cc5fc4-95fe-4983-db68-4fcdda996d5b"
      },
      "source": [
        "df2['NUMBER_ABSENT'].sum()\n",
        "#totl number of people that register for the exam but didnt seat for the exams"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "247520"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ecBY9t3g9rTL"
      },
      "source": [
        "A large number of student registered for the exam but didnt end up sitting for it. In Nigeria, Courses picked for waec and the performance on these courses determines what course the students will study in the university. Some students end up writing waec more than once because they failed some subjects needed for them to gain admission into the university. Some do the exam up to three times. During registration, you have to pick a specific number of subjects so they cant just register for let say two exact subject that they need. \n",
        "\n",
        "Generally, students are expected to write 9 subjects in WAEC and NECO. That's the maximum you can register and sit for. Also, you can write a minimum of 8 for the two exams. By this, it means, you can't register for subjects less than 8 (except for WAEC GCE that allows a minimum of 7 subjects). So what might be causing a spike in the major difference in the number of people that registered and number of people that sat for the exams is people are sitting for the exams they actually need and just registering some courses as miscellenous."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ol8rt8BV6X88"
      },
      "source": [
        "Total number of student that sat for waec in ondo state in 2006 were 37901 students. More tha half of the people that registered for the exam didnt actually sit for the exam. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "Soly8XLkJKop",
        "outputId": "1f9df925-2898-49f3-ec55-503d8bc6248a"
      },
      "source": [
        "#plotting subjects by number of people that registered for them\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(df2.SUBJECTS,df2.NUMBER_REGISTERED,color='red')\n",
        "plt.xlabel(\"SUBJECTS\")\n",
        "plt.ylabel(\"NUMBER OF PEOPLE THAT REGISTERED\")\n",
        "plt.title(\"NUMBER OF PEOPLE THAT REGISTERED BY SUBJECTS\")\n",
        "plt.setp(plt.gca().get_xticklabels(), rotation=90, horizontalalignment='right')\n",
        "plt.xticks(df2.SUBJECTS)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W0GV0xe6BulN"
      },
      "source": [
        "Courses that seem to have low registration rate are electives that people specializing in them take or they are just used as padding to  fulfill the 9 subjects requirement. Mathematics and english are compulsory courses for anyone writing waec so it comes as no suprise that a lot of people registered for it. Biology, Chemistry and Physics are core subjects for science students. After English, Yoruba is the second most registered language course and this is because Ondo state is a Yoruba land. CRK, Literature ande Government are core Art courses and Commerce and Accounting are core commercial courses. Geography and Economics are core courses taken across all departments."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "GLsmQjMEJoJk",
        "outputId": "1c114011-f0a6-4ff9-c3d1-2b63363dff3c"
      },
      "source": [
        "#plotting subject vs no of absent students\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(df2.SUBJECTS,df2.NUMBER_ABSENT,color='red')\n",
        "plt.xlabel(\"SUBJECTS\")\n",
        "plt.ylabel(\"NUMBER OF PEOPLE THAT WERE ABSENT\")\n",
        "plt.title(\"NUMBER OF PEOPLE THAT ABSENT BY SUBJECTS\")\n",
        "plt.setp(plt.gca().get_xticklabels(), rotation=90, horizontalalignment='right')\n",
        "plt.xticks(df2.SUBJECTS)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "_0Y4R-Mr-VR5",
        "outputId": "4701bc25-f142-4e35-cf8d-bae5e9386fa5"
      },
      "source": [
        "#subject columns vs number of people that sat for waec\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(df2.SUBJECTS,df2.NUMBER_SAT,color='red')\n",
        "plt.xlabel(\"SUBJECTS\")\n",
        "plt.ylabel(\"NUMBER OF PEOPLE THAT SAT\")\n",
        "plt.title(\"NUMBER OF PEOPLE THAT SAT BY SUBJECTS\")\n",
        "plt.setp(plt.gca().get_xticklabels(), rotation=90, horizontalalignment='right')\n",
        "plt.xticks(df2.SUBJECTS)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6UaB5-G3_fFP"
      },
      "source": [
        "Most people sat for biology and government. This might be because these are core subjects. And this can also be because they are subjects people are retaking the most.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "V9EiPD4VKs5W",
        "outputId": "d9b32afb-b435-4c77-a709-2a4e236e1922"
      },
      "source": [
        "#ploting the number of people that had at least a credit in a subject.\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(df2.SUBJECTS,df2['A1_C6'],color='blue')\n",
        "plt.xlabel(\"SUBJECTS\")\n",
        "plt.ylabel(\"NUMBER OF PEOPLE THAT WERE PASSED WELL\")\n",
        "plt.title(\"NUMBER OF PEOPLE THAT PASSED BY SUBJECTS\")\n",
        "plt.setp(plt.gca().get_xticklabels(), rotation=90, horizontalalignment='right')\n",
        "plt.xticks(df2.SUBJECTS)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TEDIgZExDP_K"
      },
      "source": [
        "A lot of people passed mathematics,biology, physics, Agric sc, English, Yoruba, commerce, economics, geography and arabic."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k_SXfJt8n5ef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "outputId": "3a689061-fb32-4708-e439-4e43fb4f1fc9"
      },
      "source": [
        "#ploting the number of people that had at most a D7 in a subject.\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(df2.SUBJECTS,df2['D7_E8'],color='blue')\n",
        "plt.xlabel(\"SUBJECTS\")\n",
        "plt.ylabel(\"NUMBER OF PEOPLE THAT WERE PASSED FAIRLY\")\n",
        "plt.title(\"NUMBER OF PEOPLE THAT PASSED FAIRLY BY SUBJECTS\")\n",
        "plt.setp(plt.gca().get_xticklabels(), rotation=90, horizontalalignment='right')\n",
        "plt.xticks(df2.SUBJECTS)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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lypSYNm3aSBfDRgnfC9XMzEYzSdMjYkr79tIo1FKU4wjIzMzMbIQ0BnARMbVpnyQP5TQzMzMbIcV7oUpaW9LH8pQiSFpN0q+AvwykdK8gUucPMzMze2Ur3Qv1QOAYYAvgLEnfBs4jTS+y4mCKZ2ZmZmbtSn3gPgSsHhHPShpPuiPCKhFxx0BKZmZmZma1Sk2oz0bEswAR8Shwq4M3MzMzs5FXqoFbXtIZlfXJ1fWI+Ej/imVmZmZmTUoB3KZt69/vZ0HMzMzMrDOlaUQuGmRBzMzMzKwzjQGcpOtovhNDRMRqfSuVmZmZmTUqNaFuMrBSmJmZmVnHSk2od9Ztl7QusDWwc78KZWZmZmbNSjVwL5O0OvBJ4OPA7cBv+lkoMzMzM2tW6gP3RlJN29bAQ8BJgCLivQMqm5kNWKe3aou63rFmZjYwpRq4vwF/AjaJiBkAkr40kFKZmZmZWaPSnRg2B+4FLpR0lKQNSCNQzczMzGwENQZwEXFaRGwFvBm4EPgi8FpJR0jacFAFNDMzM7NZNQZwktYCiIinI+JXEfFhYBngKmCPAZXPzMzMzNqUmlB/3FqQdAmkm9pHxJERsUHfS2ZmZmZmtUoBXLW/24L9LoiZmZmZdaY0CvVVksaTgrzW8stBXUQ80u/CmZmZmdnsSgHcYsB0ZgZtV1b2BbB8vwplZmZmZs1Kt9KaNMBymJmZmVmHSn3gzMzMzGwUcgBnZmZmNsY4gDMzMzMbY0qDGACQtCrpbgwAN0XE9f0tkpmZmZmVNAZwkhYDTgeWBa4ljUZdVdLfgU0j4onBFNHMzMzMqkpNqPsB04AVI+KjEbEZsCJwBfCdQRTOzMzMzGZXakJ9H7BaRLzU2hARL0naG7iu7yUzMzMzs1qlGrjnIuKF9o1527/6VyQzMzMzKynVwC0oaXVmvScqeX2B/hXJzMzMzEpKAdx9wA8K+8zMzMxsBJRupbXecE4s6RhgE+CBiFglb1sCOAmYBNwBbBkRj0oS8CPgg8A/ge0i4sqcZltgn3zab0fE1Lz9bcBxwELA74AvREQMp8xmZmZmY0FjHzhJX60sf7xt3/4dnPs4YKO2bXsCF0TEisAFeR1gY9II1xWBnYAjcj5LAPsC7wDWBPaVND6nOQL4XCVde15mZmZmc6XSIIatKst7te0bMliKiIuBR9o2bwpMzctTgc0q24+P5FJgcUlLAx8Azo+IRyLiUeB8YKO8b9GIuDTXuh1fOZeZmZnZXK0UwKlhuW69U0tFxL15+T5gqbw8EbirctzdeVtp+901283MzMzmeqUALhqW69a7lmvOBtJnTdJOkqZJmvbggw8OIkszMzOzvikFcG+R9ISkJ4HV8nJrfdUe87s/N3+S/z6Qt99DumVXyzJ5W2n7MjXba0XEkRExJSKmTJgwoceim5mZmY0OjQFcRMwTEYtGxLiImDcvt9bn6zG/M4Bt8/K2pHuttrZvo2Qt4PHc1HousKGk8XnwwobAuXnfE5LWyiNYt6mcy8zMzGyuVrqZ/cLA8xHxfF5/E2majzsi4tShTizpBGA9YElJd5NGk34XOFnSDsCdwJb58N/lc88gTSOyPUBEPCJpP9L9VwG+FRGtgRH/xcxpRM7ODzMzM7O5npqmTpN0MbBDRNwqaQXgcuCXwErAFRGxZ23CUW7KlCkxbdq0kS7GbNTFsBDPdjfn+LrPqtPr8Uq4FmZmo4Gk6RExpX17qQ/c+Ii4NS9vC5wQEbuS5mz7UB/KaGZmZmYd6HQU6vqkOdiIiOeAl/pZKDMzMzNrVroX6rWSDiKN7lwBOA9A0uKDKJiZmZmZ1SvVwH0OeIh039INI+KfeftKwEF9LpeZmZmZNSjdzP4Z0qhRACTNB6wCzIiIvw6gbGZmZmZWo3Qz+59IWjkvLwZcQ7rn6FWSth5Q+czMzMysTakJ9V0RcUNe3h64JSJWBd4GfLXvJTMzMzOzWqUA7rnK8vuB0wAi4r6+lsjMzMzMikqjUB+TtAlpFOo6wA4AkuYl3f3ARgFPRGtmZvbKUwrg/gM4BPg34IuVmrcNgLP6XTAzMzMzq1cahXoLsFHN9nMlPVKTxMzMzMwGoFQDNwtJKwFb58djwGz35TIzMzOz/isGcJImMTNoex54PTAlIu7od8HMzMzMrF5pHrhLSH3d5gW2iIi3AU86eDMzMzMbWaVpRO4HxgFLARPyNo9jNDMzMxthjQFcRGwGrApMB74h6XZgvKQ1B1U4MzMzM5tdsQ9cRDwOHAscK+m1wJbAwZKWi4hlB1FAMzMzM5tVqQ/cipJOl3S9pBOA+SLisIhYB1h3cEU0MzMzs6pSH7hjgDOBLYArgUNbOyLizj6Xy8zMzMwalJpQx0XEUXn5QElXDqJAZmZmZlZWCuAWlLQ60Lrb5kLV9YhwQGdmZmY2AkoB3L3ADyrr91XWA1i/X4UyMzMzs2ale6G+d5AFMTMzM7POlAYxmJmZmdko5ADOzMzMbIxxAGdmZmY2xpQm8v10ZXmdtn279LNQZmZmZtasVAO3e2X50LZ9n+1DWczMzMysA6UATg3LdetmZmZmNiClAC4aluvWzczMzGxAShP5vlnStaTatjfkZfL68n0vmZmZmZnVKgVw/z6wUpiZmZlZx0p3YrizbrukVwFbA7X7zczMzKy/StOILCppL0mHSdpQya7AbcCWw8lU0pck3SDpekknSFpQ0mRJl0maIekkSfPnYxfI6zPy/kmV8+yVt98s6QPDKZOZmZnZWFEaxPBz4E3AdcCOwIXAx4DNImLTXjOUNBHYDZgSEasA8wBbAQcAB0fECsCjwA45yQ7Ao3n7wfk4JK2U060MbAT8WNI8vZbLzMzMbKwoBXDLR8R2EfFTUpPpSsAHIuLqOZDvvMBCkuYFFgbuBdYHTsn7pwKb5eVN8zp5/waSlLefGBH/iojbgRnAmnOgbGZmZmajWimAe761EBEvAndHxLPDzTAi7gEOAv5OCtweB6YDj0XEC/mwu4GJeXkicFdO+0I+/jXV7TVpZiFpJ0nTJE178MEHh/svmJmZmY2oUgD3FklP5MeTwGqtZUlP9JqhpPGk2rPJwOuARUhNoH0TEUdGxJSImDJhwoR+ZmVmZmbWd6VRqP3qT/Y+4PaIeBBA0m+AdYDFJc2ba9mWAe7Jx98DLAvcnZtcFwMermxvqaYxMzMzm2uVRqGuX1me3LZv82Hk+XdgLUkL575sGwA3MnOQBMC2wOl5+Yy8Tt7/h4iIvH2rPEp1MrAicPkwymVmZmY2JpSaUA+qLP+6bd8+vWYYEZeRBiNcSRrh+irgSGAPYHdJM0h93I7OSY4GXpO37w7smc9zA3AyKfg7B9g599UzMzMzm6uV7sTQt5vZR8S+wL5tm2+jZhRpHjjx8YbzfAf4znDKYmZmZjbW+Gb2ZmZmZmNMqQZueUlnkG9en5fJ65Obk5mZmZlZP5UCuOrdFg5q29e+bmZmZmYDUgrgxgN/jYgHBlUYMzMzMxtaqQ/cp4GrJN0qaWq+m8EqgyqYmZmZmdVrDOAi4mMRMRF4P3AusBowVdKDkn43qAKamZmZ2axKTagARMQdkhYEFsqP1rKZmZmZjYDGAE7S3sDawATgZuBS4DBgJ0+Ya2ZmZjZySjVw2wBPA78F/gpcFhGPD6RUZmZmZtaodDP7N0taAngnsB6wp6RXA9eQRqceO5gimpmZmVlVsQ9cRDwCnCnpHOBtwLuB/wA+CziAMzMzMxsBpT5wHyHVvq0DrAzcAPwF+DKpSdXMzMzMRkCpBm47UsD2VWB6RDw3kBKZmZmZWVGpD9zmgyyImZmZmXWmdCcGMzMzMxuFHMCZmZmZjTGNAZyk4wZYDjMzMzPrUGkQw2oDK4VZG6mz4yL6Ww4zM7PRqBTALSxpdaD2qzQiruxPkczMzMyspBTATQS+T30AF8D6fSmRmZmZmRWVArgZEeEgzczMzGyU6WkUqqS3z+mCmJmZmVlnSjVwe1RXJK0EbJ0fjwFT+lguMzMzM2tQuhPDeZImMTNoex54PTAlIu4YROHMzMzMbHaleeAuAc4iBXlbRMTbgCcdvJmZmZmNrFIfuPuBccBSwIS8zbNumZmZmY2wxgAuIjYDVgWmA9+QdDswXtKagyqcmZmZmc2uNIiBiHgcOBY4VtJSwJbAwZKWi4hlB1FAMzMzM5tVx9OIRMT9EXFoRKwDrNvHMpmZmZlZQWMNnKTfUu7z9pE5XxwzMzMzG0qpCfWg/FfAUcCO/S+OmZmZmQ2lNA/cRa1lSU9V183MzMxs5HTaB87Th5iZmZmNEqWJfJdoPYB5JI1v29YzSYtLOkXS3yTdJGntfN7zJd2a/47Px0rSIZJmSLpW0hqV82ybj79V0rbDKZOZmZnZWFHqAzedVPOmvH5lZV8Ayw8j3x8B50TExyTNDywM7A1cEBHflbQnsCfpfqwbAyvmxzuAI4B35CByX9I9WQOYLumMiHh0GOUyMzMzG/VKAdx6EXHnnM5Q0mLAu4HtACLiOeA5SZsC6+XDpgJ/JAVwmwLHR0QAl+bau6XzsedHxCP5vOcDGwEnzOkym5mZmY0mpT5wp/Ypz8nAg6TJga+S9DNJiwBLRcS9+Zj7SLfwApgI3FVJf3fe1rR9NpJ2kjRN0rQHH3xwDv4rZmZmZoNXCuBU2Dcc8wJrAEdExOrA06Tm0pfl2rY5NnAiIo6MiCkRMWXChAlDJzAzMzMbxUpNqBMlHdK0MyJ26zHPu4G7I+KyvH4KKYC7X9LSEXFvbiJ9IO+/B6jetmuZvO0eZja5trb/sccymZmZmY0ZpRq4Z0gDGZoePYmI+4C7JL0pb9oAuBE4A2iNJN0WOD0vnwFsk0ejrgU8nptazwU2zKNjxwMb5m1mZmZmc7VSDdzDETG1T/nuCvwyj0C9DdieFEyeLGkH4E5gy3zs74APAjOAf+ZjiYhHJO0HXJGP+1ZrQIOZmZnZ3KwUwD3Xr0wj4mrS9B/tNqg5NoCdG85zDHDMnC2dmZmZ2ejW2IQaEWsNsiBmZmZm1plOb6VlZmZmZqOEAzgzMzOzMaZ0L9T1K8uT2/Zt3s9CmZmZmVmzUg3cQZXlX7ft26cPZTEzMzOzDnR6J4b2uzL06y4NZmZmZjaEUgAXDct162ZmZmY2IKV54JaXdAaptq21TF6f3JzMzMzMzPqpFMBtWlk+qG1f+7qZmZmZDUhjABcRFzXtk3QS0LjfzMzMzPqn13ng1p6jpTAzMzOzjnkiXzMzM7MxprEJVdIaTbuA+fpTHDMzMzMbSmkQw/cL+/42pwtiZmZmZp0pDWJ47yALYmZmZmadKd0LdUVJp0m6XtIJkiYOsmBmZmZmVq80iOEY4CxgC+BK4NCBlMjMzMzMikp94MZFxFF5+UBJVw6iQGZmZmZWVgrgFpS0OjNvXL9QdT0iHNCZmZmZjYBSAHcv8IPK+n2V9QDW71ehzMzMzKyZR6GamZmZjTGlGjgkvRbYGVg5b7oBODwiHuh3wczMzMysXmkakXWAK/Lq8fkBcHneZ2aG1PnDzMzmjKHuxLBZRFxV2XaGpFOBnwLv6GvJzMzMzKxWaR64RduCNwAi4mpgXP+KZGZmZmYlpQBOksbXbFxiiHRmZmZm1kelQOxg4DxJ75E0Lj/WA87O+8zMzMxsBJSmETlS0j+A/UijUAO4Efh2RPx2QOUzMzMzszbFaUQi4kzgzAGVxczMzMw6UJpG5OTK8gFt+87rZ6HMzMzMrFmpD9yKleX3t+2b0IeymJmZmVkHSgFc9LjPzMzMzPqoFMAtLGl1SW8DFsrLa7TWh5uxpHkkXSXpzLw+WdJlkmZIOknS/Hn7Anl9Rt4/qXKOvfL2myV9YLhlMjMzMxsLSoMY7gN+ULPcWh+uLwA3AYvm9QOAgyPiREk/AXYAjsh/H42IFSRtlY/7hKSVgK1II2RfB/xe0hsj4sU5UDYzMzOzUas0jch6/cpU0jLAh4DvALtLErA+8Ml8yFTgG6QAbtO8DHAKcFg+flPgxIj4F3C7pBnAmsAl/Sq3mZmZ2WhQGoW6oqTTJF0v6QRJE+dgvj8Evgq8lNdfAzwWES/k9buBVn4TgbsA8v7H8/Evb69JY2ZmZjbXKvWBOwY4C9gCuBI4dE5kKLO+b6kAACAASURBVGkT4IGImD4nztdhnjtJmiZp2oMPPjiobM3MzMz6ohTAjYuIoyLi5og4EJg0h/JcB/iIpDuAE0lNpz8CFpfUatJdBrgnL98DLAuQ9y8GPFzdXpNmFhFxZERMiYgpEyZ4BhQzMzMb20oB3IKVkadrMOtI1DV6zTAi9oqIZSJiEmkQwh8i4lPAhcDH8mHbAqfn5TPyOnn/HyIi8vat8ijVyaR56y7vtVxmZmZmY0VpFOq9zD7ytLUepJqzOWkP4ERJ3wauAo7O248Gfp4HKTxCCvqIiBvy3SJuBF4AdvYIVDMzM3slUKrMeuWYMmVKTJs2baSLMRup82OrT1mv6Ua7Tv+v4f5Pc+v161Uv193X0MysfyRNj4gp7duLN7M3s3oOWszMbCSV+sCZmZmZ2SjkAM7MzMxsjClN5LtLZXnlwRTHzMzMzIZSqoH7bGX55/0uiJmZmZl1ptNBDF102bbRzh3wzczMxrZSALe4pI+SaukWlbR5dWdE/KavJTMzMzOzWqUA7iLgI3n5YuDDlX0BOIAzMzMzGwGNAVxEbD/IgpiZmZlZZ4rTiEhaRdJUSdPyY6qkVQdVODMzMzObXWkakU2BU0lNqZ/Nj4uA3+R9ZmY9kTp/mJnZ7Ep94L4FvD8i7qhsu1bSH4DT88PMzMzMBqwUwM3bFrwBEBF3SJqvf0Wy0WpQN5g3MzOzslIfuBckLde+UdLrgRf6VyQzMzMzKynVwO0L/F7S/sD0vG0KsCewR78LZmZmZmb1StOInCbpduDLwK558w3AlhFxzSAKZ2ZmZmazK95KKwdq2wyoLGZmZmbWgeI8cGZmZmY2+jiAMzMzMxtjegrgJC0ypwtiZmZmZp0Z6lZaEyVNkTR/Xn9tHpV660BKZ2ZmZmazKd1K64vA1cChwKWSdgRuAhYC3jaY4pmZDY9v22Vmc6PSKNSdgDdFxCN5Qt9bgHUiYnohjZmZmZn1WakJ9dmIeAQgIv4O3OzgzczMzGzklWrglpF0SGV96ep6ROzWv2KZmZmZWZNSAPeVtnXXvpmZmZmNAqVbaU1t2iepeAcHMzMzM+uf0ijUP1eWf962+/K+lcjMzMzMiko1adXJeldu2+cB92ajWDdTYkT0rxxmZtYfpVGopY91f+SbmZmZjZBSDdzikj5KCvIWl7R53i5gsb6XzMyAzmvTXJNmZvbKUQrgLgI+Uln+cGXfxX0rkZmZmZkVlUahbj/IgpiZmZlZZ4a6mf17JK2Wl7eUdJikL0laoNcMJS0r6UJJN0q6QdIX8vYlJJ0v6db8d3zeLkmHSJoh6VpJa1TOtW0+/lZJ2/ZaJjMzM7OxpLEGTtLhwGrAgpJuBl4NnAOsAxwDfKrHPF8AvhwRV0oaB0yXdD6wHXBBRHxX0p7AnsAewMbAivnxDuAI4B2SlgD2BaaQBlVMl3RGRDzaY7nMzMzMxoRSH7j3RsRKkhYE7gFeGxEvSvopcG2vGUbEvcC9eflJSTcBE4FNgfXyYVOBP5ICuE2B4yMigEslLS5p6Xzs+a37teYgcCPghF7LZmZmZjYWFG9mDxARzwJ3RsSLeT2A5+dE5pImAasDlwFL5eAO4D5gqbw8EbirkuzuvK1pu5mZmdlcrVQD91pJu5OmDWktk9cnDDdjSa8Gfg18MSKeUGWuhIgISXNsUgRJOwE7ASy33HJz6rRmZmZmI6JUA3cUMI7U96213Fr/2XAylTQfKXj7ZUT8Jm++PzeNkv8+kLffAyxbSb5M3ta0fTYRcWRETImIKRMmDDv2NDMzMxtRpWlEvtmPDJWq2o4GboqIH1R2nQFsC3w3/z29sn0XSSeSBjE8HhH3SjoX2L81WhXYENirH2U2MzMzG01Ko1APKSWMiN16zHMd4DPAdZKuztv2JgVuJ0vaAbgT2DLv+x3wQWAG8E9g+5z/I5L2A67Ix32rNaDBzMzMbG5W6gP3eeB64GTgH8yhG9hHxJ8L59qg5vgAdm441zGkKU3MzMzMXjFKAdzSwMeBT5DmbjsJOCUiHhtEwczM2nV6X1jwvWHNbO7WOIghIh6OiJ9ExHtJzZaLAzdK+szASmdmZmZmsynVwAGQb121NfB+4Gxger8LZWZmZmbNSoMYvgV8CLgJOBHYKyJeGFTBzMzMzKxeqQZuH+B24C35sX+ebFeksQWr9b94ZmZmZtauFMBNHlgpzMzMzKxjpYl87xxkQczMzMysM6U+cE8C1YH4ATwEXAjsEREP97lsZmZmZlajNI3IuIhYtPJYDJgC3AD8ZGAlNDMzM7NZlG5mP5uIeDQiDgbe0KfymJmZmdkQugrgACTNRwfzx5mZmZlZf5T6wG1es3k86dZap/StRGZmZmZWVKpJ+3DbegAPAz+KiLP6VyQzMzMzKylNI7L9IAtiZmZmZp0pNaF+vZAuImK/PpTHzMzMzIZQakJ9umbbIsAOwGsAB3BmZmZmI6DUhPr91rKkccAXgO1JN7b/flM6MzMzM+uv4nQgkpYAdgc+BUwF1oiIRwdRMDMzMzOrV+oDdyCwOXAksGpEPDWwUpmZmZlZo9JEvl8GXgfsA/xD0hP58aSkJwZTPDMzMzNrV+oD1/VdGszMzMys/xykmZmZmY0xDuDMzMzMxhgHcGZmZmZjjAM4MzMzszHGAZyZmZnZGOMAzszMzGyMcQBnZmZmNsY4gDMzMzMbYxzAmZmZmY0xDuDMzMzMxhgHcGZmZmZjjAM4MzMzszFmzAdwkjaSdLOkGZL2HOnymJmZWT2p80cv6V5JxnQAJ2ke4HBgY2AlYGtJK41sqXp/gZqZmZl1YkwHcMCawIyIuC0ingNOBDYd4TKZ1XJgb2Y2+o2Vz+l5R7oAwzQRuKuyfjfwjhEqi9Xo5kUe0b9ymJnfjyNlbr3uc+v/NVaM9QCuI5J2AnbKq09JunkEirEk8FD7xg7eALOl6yXNIPPq8E09qLxqr0UH5sbr/op5DQ46rz6kGfG8BvneGkVpRjyvufU1OIo+B2vT9ZJmgLVwr6/dGhFj9gGsDZxbWd8L2Guky9VQ1mmDSue8xk75fC3m/rxGe/nm1rxGe/l8LV4ZefXzMdb7wF0BrChpsqT5ga2AM0a4TGZmZmZ9NaabUCPiBUm7AOcC8wDHRMQNI1wsMzMzs74a0wEcQET8DvjdSJejA0cOMJ3zGl6auTWv0V6+uTWv0V6+uTWv0V6+QeY12ss3N+fVN8ptu2ZmZmY2Roz1PnBmZmZmrzgO4Mx6JGm+kS6D2SuJpOVGugz9UPoskTR5kGWxscMB3DBI+pykFfOyJB0r6QlJ10paY6TL90okaZM+n1+SNpB0NGni6FcUSZNGugwlktYa6TKMFpIWrgYGkt4k6UuSNu9DXp+W9Jma7Z+R9MmGNAdK+o+a7f8h6bsNWZ02zKJ2TNJbCvv+s7DvGkk/lvSpLoKv0/NMCnVluLAhn3kkvbqyvpakd+fHuFJm+bXwfUln5cdBkt5UOP6rleWPt+3bv5BuudKjIU3j+eY0SecNKq9+cAA3PF8A7sjLWwOrAZOB3YEflRJKerukf6usbyPpdEmHSFqiIc0nui1gL2kazjOfpNUlvXZOnK+P3t6Pk+YPx0OAO4HTgYuBNw+RZo5c+3yunjrQSup4oFKHz/HvJe3ZzXnzuRct7Jvtg1zSoq0fR3n94/k9so2kpQpZ/bibcuVzryBpnZrt60h6Q7fn64WkRXKwc1bhmPklbZ+/bA/KywsUTnsOMCmnXQG4BFge2FnS//ZQxtJrcFfg1JrtvwG+3JBmfeo7hh8FNP0Q63nq1B4C2lMlva3mPN8EPlfI6lPA1cD7gXMl3SPplJxX052CrgTOlrRwJZ/1gDMLeR0A/Fdl/QTgK8D/APs0FU7S2sAfgSdJ1/8o4GngwsIPoK0qy3u17duoKS/gLNL/cFblcSZwGXB7Q5rS+Yry9+rGNds/WPdcAhN6zWtUGOmJ6MbyA7i6svwr4AuV9SuHSHslsERefjfwD2ALYD/glIY0Z5I+lJfvooxdp8npfgKsnJcXA24ErgPuAbbu8Xrt1OXx3+jDc/Zb0lyBtY+a4/cHbgUuAHYEXgPc3s9r33CutxX2/bmy/PP219mcfI6BccDBwDXAu7oo/5WV5QuGKiPpi2W7yvoM4FDgZ8BPOsmni7KdCaxas31V4LeFdNcB19Y8rgOu7SDf+YGPAv8HPAEcC3y44diV8jWYCuyWH1PztpWayldZ3g84vJLvdQ1pjuvxNVh6ndVeC+D6QpobGrY/ABzS9Bjiel8MrJiXVwAeya+pC4D/rft/gduAtfO68nvmQmDRLl5fSwK75OfqxcJx+wB/Al4NbA78HZhSOP4qYN7qeqWcfy6kOxtYr2b7e4Czm/KqW65bH+JaTAKOIH2m7tpwzDXAeGCJuscQ5/8D8Pqa7a8H/lCz/bZ8rWsfnf5fI/UY89OIjLCXJC0NPApsAHynsm+hIdLOExGP5OVPAEdGxK+BX0u6ui5BRGwiaTPgLEm/Ir0RXqrsf2ROpMneFRGfz8vbA7dExGa51vBs0q+9bnX763l67UmkT5NGUP+8bftnSB+Qvyqc86BKWY4iBWUlOwK3kK7bbyPiX5I6Grrd7bWX9JaIuKbhdGvScD2ARSrLK7ftK13zrp/jiHgS+FL+NXuBpLtJ/5PS7litIa9qOdprmOvK+Hag2rz2ZETsCiDpz4X/aXlJjZN5R8RHajYvFRHX1Rx7ncpNxq1aIpFqFj5YOPZlkjYk1dhvSAoGjgfeHhHbF5IdCvxnRJzfdq73AYcD761JU32drg8cCBARz0l6qeZ4SK0ItSKi6fUHsJCkRSLi6bbyjSMFjHWekbRiRNzalmZF4JmmNDS/D4YyvpLXtsAJEbFrbrqcTlvNUkRMz+/fUyXtzMyasI0i4l9NmUiaB1gdeCewDvAG0o+in5FqQWtFxLcl/TOXRcD6ETGj8P+8KiJeqKzvkc8T1abVGm+IiD/W5H9RoZY1Gpbr1meTn9Ovke5V/n1gt4h4vuHwNzPzGtSVY/lCVuMi4s7ZEkXcKWnJmuMXI72Pm/L6TSGvEecAbni+DkwjTSJ8RuRJhCW9hxTZl8wjad78BtyAmfdqhcLzEhGnSbqd9GtyB2a+eRpf2L2kAZ6rLL+fVEtARNynHm8AFxE/7fL43zbs2pV0zdr9hvQ/NgZwEXFRa1nSU9X1BkuT/v+tgR9KupD0ZTVv24dnU37dXPtTJX28/YsyN9l8mBQA1mZTKkJhX0/PsaT1SV0EfkYKHpqCgaZydPIFMG/kn8hZtX/V4oV8HiR9QXSjdL7GH2LVLwpJ/6r74mhwDqmmZd2IuD2nL3a5ACa2B2+5DL+XdGhDmmslHUQKHlYAzst5lf7fhSWtTkPgHxFXNqQ7GjhF0udb1yEHv4fnfXW+Tmo2/DYzg7IppEDqiw1pHo6IqYXyl3QV0OauLHeTgr3TgN+TatIWycFq04/fJ0m12YcDe7ae4xJJv83lE6lZbwbwg9b7sOGHx/ySxuUfVURE6/ldDFiwkN2ThX1PN2x/i6QncvkWysvk9ca8JK1CCtxWBr4H7BARLxbyB7gxIlYf4pgm4wv7Fq7ZdmdEfLbHvEacA7hhiIgzJb2eFPU/Wtk1jVSrVnICcJGkh0i/Kv8EL/dVebwuQe7vsg/wMeBTEXHmUGXsJU32mNKAgHtIvyJ3yOebl8KXmqTdgccj4ui27TuQrtMP27YfCMxoD+6UOjdPjog9a7KZLyKeat8YEU+ru5GhQ/5yzB825wDn5Gu5Cen/v0fSBRFR20Eberr2Hwf+T9KnIuISpU/vI4A3AesV0i0u6aOkPq2LV/r0iPQLs0nXz7GkE4FlgE/W1VoVvDa/NlRZbpWxrh/KS5L+LSLuA4iI63P+EykHjJ0E5e2mSfpcRBxV3ShpR3qv7SlZg9Sn6PeSbgNOJP0ILHmVpAXaa34kLUjz5/jnSP10JwEbRsQ/8/aVmFkT3W4iKQBuqpFYvy5RRBwk6Sng4lz7I1Kg8N2IqP3hERFn5xqur5B+lAHcAGxReG0917C9E90GtNOZ+RnxJKn26HJybTPNP353IN2ne0dge0lXkGreLomIexrSHNSwXHIUcFIOmv+e/5fXkz4zflZIt6xSf952Ij3/s4mIoV6fTa4B7iLVUK8JrFn9cRgRu/V43ia/l/QdYJ/WD8D8OfpNUvNqu8ZfqpKWa13X0coT+Q6DhhjNFRHF6tfcYXRp4LxW04OkNwKvrvulK+lm4NfAfhHR1MQw7DSVchwC/Bvww4g4Lm//AOnLoLZjsqTpwFrt1eO5mWJaexNbPn5KW20Lkl5F6juzSk0eN+U0dc01V0RE4+ACzTpA5EJSYPTym7jwq7r9POOAj0bE8YVjenm+ViN1Bq822XxyiCabY0vnbGqa6+U5lrRjRJS+HJrKuO8QZfxm2/GfJgUfXyb19YEU+BxE6uv0c2pI+k1EdDXKUmlQxKmk4KBaEzQ/6Tm+ryFddaT5L4FPMutrqam2qnqOd5Jqd7cgfdmdGhGzNWNJ2gdYC9i5rYbrENL76ls1aRaNiCfat+d9tV9Okq4aRu1H6xzj4OXm9jlK0kakz8dT2rZ/jPTDcbZaysoxC5FeU0uTbrt4Td7+TlKzYu1rapjlXZgUuLyT1E1h/oh4fZfnWCci/tKw7/PA3qRuFEMGzTnNtqX8uq3hlPT3iGgaUdp1XpK2a30WdUvSIqTgdU3SQBKAt5AqVXZs/+GfawjHkQLXiyPigfwZvCepi8myvZRjUBzADUPbF+eHSR3kW6JUNSvp7cCSEXF22/YPAve3N6PlfasBt7VehDkAbPUvuaruA1PSShFxY832DYGvRMT7G//BHki6JiJqh99Lui4iVm3bdn1dkJb33RAR7X26kPTfpCbUuuaaP0bEgYXy3c7Mpop2ERGz/apWahJ/NCKulbQladDJ/wN+PERg1dW1rwSXKzFrk81LuXAdBZf9JOnLFGouI+IHPZxztr5TeftGpC+n1mvgetKX09ntx1bSvGeI8l1cSPteoPVavCEi6n6xV4+vnd5hZlZRW1vVcK5XkV7TWzd9bijd9/mrpKYgAU8BB0VEbROqpCsjYo28fEFEbFC3ry1NTwFcpUa1Vt3rQjObDZvSzNZsKOkvwGYR8WDb9iVJfVTXLpRxAvDaaLtftqSVgQfaz1k4zxtJ79/Gkag5kHgHM/vBvZ1UE/WXiNil5vh5gC1JgcQ5EXF9rh3fG1hoqOekn0HzUCTd1Umgk2tmqWs9aTvuWJpfFxERO3SQ1/LM/Ny4ISJquzQptQBtQgr2ViDdV31H4H+Bn0bEs0PlNZLchDoM1ZqN/MFX6oTc7gDSL7J2N5BGo9V9+G9DGoX1vbx+AulLbUHSqNY9atIsJek04HWkoOCAfH4x66CLWai3pk1ITT1LRcT9bemapn7ouiNzL801lbRdTYop6XBSx+4FJN1CGiF2DulD+RjSlAFNur32PTXZqMtm68r+Xp7jaufo/wA67teo1Py5NKlm9Tml6Uq+CGxHukaziIhzSNe6G/9dsy1Iz+Gy1DRVVgLna/Jjlu1NgXNE1A0cGFKulXm+VUutNP/WBxmiP05EHAYc1sWXdbcDRyAFiL0ozjvWoNOmwqoF6gKtiHgoB00lh1I/zcwSpH5as3SHyD+YD2Lm+/dw4DBmdsSvJekq0mttGvDXfOylQwQuR+c0lwOHSPoHqRZ4z4ionftO0jY1215ebmodmBMBUnua0k6lOfP2Ig+2yp/dB0RE05Q/dV1NlgW+xBBdDdpqxVvN1Yu3ttfUin8IWD0inpU0nhRkrxIRd5TyGS1cAzeHNP2iLRx/RUTUzlkm6dr2psa8/SrSaLUXWusRsbrSu/ZPEbFuQ5ovkfpgbAz8gvShcNgQ5eu6aTPv34Y0xcGXSUElpOH4BwKHtVeZK83ZcyhQ25E5In43RDm7+uWp1EfksYh4PK+/F9iMNJ/f4RHxXNvxN0bESkp9je4h/YJ/MV/za9trFNvS9nTtu6Uum63b0nX9HFeO67i2RtIXSV+SM4AFSF+kB5BGYH4vIu5tO/7rhdNFROzXYb7rkPohjge+EzUDY9pqZVvXovVNWFsrm9P1NBpa0sWkzty3KvV5vZzUBLsScHlEtM+zRX79fYI09cWZpH5jrZrg/SLioZo01Rq4WT6fCjVw11H/hTzUKOOByD+iVoq2AURKfV9vjIgV61OCpGkRMaVh32wtAZIuI/Unu4Q0N9nepKlbvl6qmcmB33U176t1STWsO9flD6wWES/l5/o+UrPuw4V8mgavfIQ06KW2gkbSFjWbXw6QImKZmjRNNawCvhYRTXOX7kOqhdylVQuWa8d+BFwWEd9uOC+VY/cmvdYPBo5u/4xuO76rWvGa98WwuxAMkmvgRk63o2Wgx2HjMXPI+GmS7ukwgFig/QMon+slqXmIYkQcL+lB4FvMbI66nvShN1vTV9R3ZL6eQkfmmg+TUBoM8ucYesTXyaS5tx6X9FbSyMv/Bd5KCirapxV5NpfzWUl3Rh5Bla950zD46v/3x7zYzbXv1rztwVvO+7nSc0WPz3H10C7KuBPwpoh4RGni3luAdaJ5aoq60XCLkDqIv4Y0r1kjSRuQJjQNYP8o9I3qtla2otfR0F1NZ5EdDzxPugb/TXqPHAasCxxH/cS33Q4coeE8Q+ol4M5ftqWaoKZre5SkXWJmv+FXkwKCoaZ8KNUS1g1+WiBm9sW6WdIXImLIGsqIuLa1rDSi95OkAUq3F8r4XES0uko8K+m2UvCWj2t9XpLfr58ifSdcSqF1JdJ0Va101QDpuzSPGC5du9II6s8Ab6kGvBFxm1JXlGtIP9xnI+nNpB9eq5N+/H++PWiv00OtePu0Q5Or61E/+nfUcAA3DJq1D8ds808N8eR3O1oGehs2vphmHWwxb3U9mgda9DJHU+ucZ5PmEetIpBGGL3d2zVXZjxWS1H2YTAK+JukbEXFiIe1CEfGPvPxpUmfm7+dap7r593r5Emzp9dp3q9tm65aen+MePBu5KTIi/i7p5kLwRkS83ESVa1m/QOpycCLl5qsPkWr6Hie9t0pzxlXTzUuqNQtJy5KayWZERO2cjFmvo6F7mZ9tpYhYJZfz7oh4T95+jqSmuQOPYuZ7pboMDaMUozAVilL/s9nuWJH1EnDXNXevRWrGfaAhn31IX/p3SrqT9D5clhR4/E9T2bMZkj7YXqufWwHq+kgtqFmnVPlXdT0aBqko9ZHbOj8eAk4i1dSWgos3S2oFfgLekNeLNZ/59bAd6VpeCnwsIm4u5NNK11WAFG2DjLoQdbWVEfFM02td0v+RWm2+T6oVfBFYVDOnVGnsC6zUt/yuyAOPlFqEtiDdQecbNWk3bVvvdgqiEeUm1GFQ6jDdKArTGajL0TI5ze7A+0hvtvZh43+IiNn6lKg8QjGiucN0T02bkj5HGkhwa14/hplvoO3aP/TyL/eTI+JvStNunE2qDXuBNPry94Xyt+e9BPD7uqahyjEvD6SQdCWwV0Scm9dna7pWl6Mn29L2dO27pXKz9eHRMKKrl+e40sQm0gSlrYlGh/qieYAUfLVsVV2PmukE8vO5O6lmYSrwo5h1up66fF4izd11DTW1O3U/qvJr9gDSoID9SLXBV5K+3I6JiAMa8uppNLSkX5CayO4hjXabHBH/VJrO4qKoGQSkHppD5zR13lm9FXDvQKrx/n5ENAVkrTTvIQVgC5Kauos/AJVGlK6QV2dEB6O88w+Ts0j90qqv97WBTSLilrbjexqkkl+DfyI1k8/I226Lhqb4vL84MrUusFaaXPgLpDtJHBAd9ttqC5BOJgVI1bxmC5CUmmtLA05qpwORdAGpBvyCtu3rA/9TF9RKuqOSV8ddGnLaK4H35Zr+d5M+Y3Ylfaf8e0R8rClt23mWBbaKwoC40cAB3DBIOi4ithvmOToaLVM5vqth45I277WmR2mI9VeojMwDDozC/F9KfTlWj4jnlW5i/WXSjPOrA/tGxLvajr+B1Gk0JO1Eam7YAHgjMDUi1uyyzMU+DEoTpi4N3EvqK/LGXNalSaPYavvIjHY5GNuT9FwF6bkqjtjM6bp6jnv5osnpuppOQGmAxeakW2odXveDpiGfrn9U5dfguqQaqptIt+J5SGmwwRVRMxI6p+tpNLR6mM6iEgCL1BeuFfwK2DIiZqttVf1cXy9r+tJtosJ0EXl/LwH3B0g1Qf8iBW6loAnNPnVTkGq5ro4O+sHmH4mfZNbX+6/qaol6pdQlZCtSbeU5pOfqZ9FBU72kycz8Prix9H2QA8UHSJNXV7/Ih/oxdQddBkjdvn8r6VYm3Tv6z8waNK8DbBptI4KHS5VZEJQGoD0YEd/I61dHxFsLaSeQmrq3Jg1cOTUi6mqJRw0HcMMwnF++mnW0zGyaqucr6TvqvD+oX+eV/F5+kyjdPuqyiPhRU1mqAZekX5PmxPtpL2VXGpDwP02/jPMxrS/ApUk1f/fk7auTBiic23Z8+5dg6wvjwuigea4SIL0cpJOmfuhmElwknRkRXfVPyjU6O0dEY3+YXuQvqBVIHbXPHer4HvN4ifSl/gL1X06LNqQb1txnapsGp4MfBJ8n1Vh2NRq6W718gfaYpmkOPZHuQVvbbaCXgFtpgtsJpJri2W4xVfcZ2FCrvQRplPEOMcTUL91SGim9M7O+fw8fqkYxp12E1ES3Namp/HhSUHBezbGLklpkpjCzReatpKBnh7rXdK8/pnohaf+I2LvHtAuSguaXA1Pgl01Bs6RPR8Qv8vIsc+Ap9X1s7EecKxDe+v/bO/P466ay/78/5juZ7gYkIiKejBVCE6VBHuLRfd8aKNJAoYwlDaIkD0UpekKD6cEtGjyeDJUp420WyhAi/PJQyXRfvz+udb5nn33W2ufsfc53Xu/X6/v6nrP3Xnut7/nus/e1rnVdn8vMZDULzgAAIABJREFUnpN0O15/+7etfdadqLIEft3uiDsNzgZmWSSRYyKSDbgBCBfIHIin5FcZYQO452sZBE0NODXQaGr1h6dm/w1fNt3c2iXGbjOzNUvHX4knDjwM/AEvmN0qL3S7RZahFM+Umwk8CHzIzG7v64/sg8RDcCau2XS6JSQ6QtttcBmCr+FL49BeotzHzH5WYxzLWylTs7BvRdyLsQIuSHsaHkv5ITxAfs9EuyY6XN/Fr73Lce/TedZHRmikr6Ih/JNe7ftFzbTPWt/jBfBM4ZYgr4CflK/ZRL99Z0NHrt+RzwL/Lo+b9lTCQBrB0qLQtQ1uSZfQ6Qkq3keT98BE/6/AJ2QbVRzzJPHrPTpGeQbzKXiSSMt79Fo8Xvf9lhDXTfS9DF6RZbZFkjMknYRnwn/FQjJDmGx+AVjNzLokQ4aJpFXx6352zOM8lo4ADRAuIOnzuCTPo8BKwAZhdWc1fEVn09LxT+FZ4AfhSXCmHsvdE4lswA1AuCFcTdyAq7wBSXqDmSULGyfa1DYI5MWRYwWRe7nZG8X3ycUnv4/r9ZxnQewynG8/M9uqdPxG+HLLS/BqAIeE7e8GPmhmcyJ9lGeehtdITNXxK7atdROvOM8M4PIe3pkb8GWCe0rbVwZ+ZgnB48h5KoVDw2TgN7TlDt6Jz+L3tkQVgdCuyXLjzXhW2fNhifF3ZvbaPv6GWF8z8USSO62kOafOihmxsUUDmUvetA7vWcqb1mMylcxsU0SHq9QupcMV85zMxA2DxWP/Z7kExStb55R0Jm1tt6+mPE9hArInXo4NfIn426mxTRQkLWzpYuepNkM1MsLk8hNmdn1p+3q4yGuVsbggnm38aHi/CJ5s8JnEpPROS0igpPYNei+T9DJ8NWJHYG38uXJ2zBkQ7mVvIe2sSH0fa4+xyXe41L7vCkdyeaPZeEjSqXjCyf9OFgMOM8s/DX/w6gdN217XoM0NwMqR7SsDNyTa3AK8IvVTo++F8Ti2l/Zx7EL4zau4bXH8CzTMz39tPGZhBzyObkL9//GYxtS+WyPb1sHrM96MJxYsj5fiuh83xpLXRen9/bjkzGj8zddVvW9wvgXx+KXy9rvxzMC7Iz9/6md8wxgrnmma2ndM4ude4LlhXlN4oPpahfc34d6gN+HK/bE2O+FlyN6K18RdGl/KuxafHI3G9fFWvHrIHsBbarYV7tX9L7waTZ22a+C1Rof5t3R9R/vcNxvPgn4Qn1htGb6Tc3GPUKzNnRXnu6vutdnj79oN9/beEe4z6wB392jzdMPvY+0xDvIdxic1xZ9lCI6qHu1acio34dJR++Px0UO7nkbjJ8uIjBKSXm9mV1cd0uC0C1kk08jM7lFatuAZaxALIel7wDFmdotcpuQKPFtppqR9zOzURLvtCq9jh/SdUCFpA4vHwSyFB8auCLRS7deWdB/u8YrGQPXRX2WQduG4hXB9o/t7HPpcLO4qeGBiKfsn0CkcOg/3Tr7feiyrhSWa1gf+GC5h0pI7SM2Ob4xtb2Fx72wjuYOKPp5PXCdvaXLdMpjsix/oA9oc90y8B4jKsVhDHa4eLJDYvqR1lmW704IMi6SvJdp8Aq/lek9h20VyIdfTgKHV/pRX2Tgbf/i1lht3CJ7q91q6iHvLY7IjLqg9E485iwaPJ5b9Z+KTnQ/0GGPLG9SxVItPOBexbuFbSVrGSokYwTuc+j+BL8e91szuksc6X4HLe3SJSBe4XJ6Rf4gFiyL09QUi8YGB3+P1getybDjnjmZ2Tein11LcrdZM4LbJGF9duKesWrrf9PKMFavZtP7PLwwexF1jz09wbTrgMOAweZjSHOCXtDOdJyTZgBuMjtJVktairf/zOL68mWIVlXTjilg8xqyuQQDQd5xGiTea2cfD6w8Dd5jZtpKWw6U+ogYcXhO2+LqjPiw1DDj8ARRbNjwEX0Le3NrxIgvgQpSH0hYErkuXJZFYAngKn1l/rMf5vojr/R1GZwbWAcTLnjUSDsW9K9eWxt8yfI30TW9+2H8K/n/qR/utZzxYjMSS6DJ4nF4sE20uzR5OtbXPCmPs25AotKmtw6V4AtMyuAGSqtW6dPGNmRWTDVJ6f0tWTPj6ChUo0mNZ81jgOCtJ1oRl5u/SrbdF+F7sANyH30++jFcOiWY0BspSSYZPWO60CoV+ADPr0I+UCwDvjn+P50aaHAVcIM82LsrzHB72pXjGgnyImV0XlkCrjDfwe9Z/4Vp1xSSG63E5lhhNnADgxu4OwJHhfn4GcSHjYdBkjI3uMZAW5Q6Ohe/hE+Ne57gZ15L8fNNxjBU5Bm5AQjxTy2h7Fl+afF3K0i+0u5Nu1f8RLB5/tC1eBzVmEBxgZl03IUlb42WRWjIHB9PWZdvTEpULSnEIvwD+u3Vz7icOoc5xdZF0K152plxOZyE8M7KpkdGXB67mOdfFpVSKSSdHWpCOKB1bTor5Ke2AemLeyCGM79Whz63x7LBT8NiRnqrnpfMkywSF/XfT6f1oBe5fgsdwPVE6fsxK2kQMibm4IVEp+6DmOlzlmLuWEXIJcHzMSAqep++Z2S9K29+Dx2ltFWlzrSXiE6v2lY7r8EZaRK4kHPcHM1ujzj65NModwNF4vOzTahhAHiZwc8zsp30cuzReg/dD+PV+lCWqHoTPdz/8+2v4d+SIKoNM0v3AfxY2fab43sz+s6tRu+2qeEk1cK/XH2v000FVP4VzvByPg5uDh7nMtUi2qaRPmVm0dJekVVPjHMYYh8WwYyQnAtkDNwCSrgCWxJcjtjevbXh3nzfyJ2NGWhVmdk54EH6WtpfpFlwHKqXGfiiubt66GX0A/7Kuj89I3pFo93g4/gFcs2eXcI6FgBn9DrnXAXIdqCXM7MzS9v/AC7THSiA9EzMwzFPHn+7RX1VNv2Q5ssh5KhMLwjGt1Pt+M8j+QufN7qHCe8MfpLF+Gqfdm2fsfhH4oqRZuNTB4YTqAFWo/zJB4Ms1dZJ2VlCFjpmlhUObaJ/tihsSx9E2JPqZ2R6D63BtBmxaWAquXE62CkV+efWMhyO79gZ+Eb4XRW/QJqTLX62ZWCbvuRTVwBsZXVIMhlWqAPnywNvx+9HRwbCdIWmh1AQieA53xzOuzwX+F4+3+yweI5w04CS9OBw3C/ghrlf5fxXHL2NmPydeXL2Ksue3/D7W18/w1ZLLgP/p5U0MLEhbvqYRZnY/Luh7pFzouCtpLLCXpIfN7IzCmBfDl4tnk15qrD3GyKqHaE/+zPpMNCud84VUL3tPSrIBNxgP4zeSZfH4mjvpw2gJ3FPeINcN2g5P5e6aUQMEQ63LIKjwHpmZ/TO83g4vBnwtcK2kT1aM72PAt4HlcFX+VjbjFria+bA4GH9IlLkEX9aLGXDlEjcthBdKr6JWTT95Yepv4sKO5+AircfipZZ6lV1pFcDui6oHew8+g8tfgBsVxVnmR/DxRgmxS7Px+rB/ww2F2HJS6/gmZYLAP7c6s9+naHuZ6/BxPAnkDDyIvJ8HR21DItBTmLUfgkdoe9xgWhO/1joI8VTr4HF2LW/ub3ER4VR8ZG1PdMNlTYCfSzoBv1e0Mv8Wx5cao1VbzOsKn4+XA1sUN0RnAA/IJWB2jDT7MX6dXoEb3p/D/8fbWnXZM/BVh0eAE4F/ArsUjO6YN+gP8hrLl+GyOZdZqVpD4u9qUnbqBNwYPxRYV17l4/JW31Yqkxf4i5l9pW5HSmv9gX93YmwJHCtpV+CT+DX4TfyemBTHbTjGC/HnztnAaeWQoSoSE/RlcNH2WnWoJZ1uZrPqtBlrsgE3ACEmbCncMPpSmMEsLWlDM7uqR9vtgFZ6+Vb4zfsdeNbh9xoMJ/WgUph9/BM3vr5b2Jeqnwow08y64gXMhVuT4q2qXx92UTN7JNLPo+EBEKPomYrtS9Lg5to4sQBYUJ3JBeWxJGv61USJ17H37R3Sb3CD9gw8zrG1jLSIpJmJ8d2Olwl6j7XLBO1dc4z98FgfRkOMVnzPLDwu9HTgTDNL1tZtaEiA19W9HUDSomY24v0NHqxkEoY8uH8b/Hu/Pv5/2JZ0DBzh/D9M7Y8c3yQJpKk3cj9chuJeeY1ScB2uk+ljEhP+trOAs+Saeu9NHPpKa5fC+wHutV6pj+8iuFe59bdUesTCmF4aJiybhJ/PytX6r8SNuW+k2spFxfcAWpIhtwHHmtklib5GPH1yCZL1cdmOI/CJQsyL2dTzVjtOOSyRvkvSvvg94CHgHda7kkLtMZaeqycET9/puDHX655Z/r9aGOsHrKZ4Ol5ibUKTY+CGSFj+eB/u0VjJKuoGStoSn/Fviad0n45nfa7csO+oB07SR/Ab6BPAX1tGWfBgfdMiopJh/3W4wOH+VcsMkXa1tMUk3YHLI5Tj2RbGY0Ci2khNkZd2WdXMzg3vj8KTAMBvsGWdoI7yK3VidMJy7gPEb2LWJNYn0U8j4Ut1ltSBUoxabHxqWCZI0uNUGycdhr2kK81s46pz9iLE98zGPZT7W6REVY/2S+AepahQ8QCf+ynAG3HJmNOAi3CpiORnGFlWGtlFWk+r3KYVd3gx/nl0xX0F46HljdwiHPs2YMUe3shW+2KN0j8WvP+xY1PhDD7YSHxUnc952Mjj096Nxz2uYGbRUBJJW+Henq/gy93Cvc8HAXtYuo70i2kbixvjE+x5uDxKrGrGSyjVMS3SzwRR/cczL4QLyO+Kh1i8GzeWPmkVSTuDjjEswc/GV4MOi10To0XFqtaEIXvghkhwcx8DHKMeZU7wh9/vgM2sXXmgawmvSJP4LTP7oaT/AV6Kx4i0eAj3uqR4HV4g/WpJh9R4+H3Y6tWHPRufZe1RWHp5Ib6cGY2pkrRfa/YraQcz++/Cvl4lX76OewpavANXO38B8eXc8nLt08X3ZYOvRNPU+7o0SrtvMlkws3OAc9QuE7QXLtdxHIkyQYFH6L3kXOR9kpI3z17LKvJMzzm4MfIrKpZjg9HyPjwc4nwzu1ke//k53BOXqjTRyPOJB6n/DffK3GYupVI5k7ZSBmU/xNoEj/DOuJd/h0ibpt7IVvuncC2tVn9vxwW83x45vDi+j+EC4COnSnSxrqRWwovwpe4n6DM+Sl4z+EDaiQK34AkoXUaVvDbtJrgnZkVcB+1KPI646nu/L76kW7zfzpN0Df58iPV1J64ddxa+wvFV612O7Cq6ZVFaVGWfl4/rh3l4WMsGYUJ/fPiOnCvpbDM7cJhjDJ/9HHyicykuRfO7XoMsr/h0ddg9UUwZ/2L0MnOHRvbADUDdi6XUdj18ZrEDfmM4DTjYzJKGn6Qv9uiva3mw4gJttelVc3UtfPlwAfoIJK07Iw4zu6/iM7t7w/lXxFPqv2DxjLxBSq1cY4WC9UVPj6RLzWyz0vHljMEiZtXVNsYkk7LXZKFqKS0s4RfjqlrFvSuTQUrnqCwTFI6pe120yk2VNbtegotJRwPjJX0FD0m4Df9Ond/LcyQvY7Qi/rDZCI+dex2e2X1ORbtBrsNW9u8s3Cu2Bi5GHYt1GjoN/h9L4A/RVHWJzXGjsBUrejgeaya8SH2lfFANT1DtCg2Fth/FDcX96Kxk83Xci3x86fj5uKF2FD45SXoTS+2iJQCr9kk6EPe6rYAvYV8Rfq4PRvWo0O91IOm1FnQHS9tnAAeZ2dAkN8LKwOO0vdMd39+qZ5akR4A/4/Gbv6dkOEZWgKru74PEJY8J2YAbgLoXS8V5WrON7XEv2dzyzWSAMQ5igOyCS5R8Cy/g3E9WaaP6sKWll7vCTD7VR+NSK6qWO7jDzFZPta2LpJ2tWxdrGeDxfj7LUruhLxUF4/xcPFC6WOtxU1wQORrfopplgsIxZ1undhnqI2mncOzKuHbe2/BSUClJg/l4RmzrYVsU9TSLZIbKy4OtY2bz5fE2D+HL7FFpiUK7v+IPGeGG2GmFvt5nCcmNyHleSzub934z26Sfdk2RhydcG/sswv43A38zsxslvQ+v9vBH4Lspw17S9XgCzBXAu/CkmgOsIgO61L5fQ6Lx90AuP7RZedlO0ovwOpjlOs3L0V7S3BBfsbqOYFyZi7/G+hlIvkXtuLs34BnOj5pZZWhKpH1V6b1inPKbKIU2xBwPkl5tFfGeZnZlv+PrNUZ11sgt0+uZVQwBWAdPuDs1dS/rMcbGk4WxIi+hDsZytC+WHWl4sZjZ5bgS9574A2o2EDXg6iwBhHM3mkFIuhzPlH2jVdTTjLACvlSWcpl3fPkUz4h6lUJ2WGLmXo7rSe2L8aCkjczs96VxbIx7XrqQ9FJcuqDopfqOmf21R18rtW58YTnqfGBdXJB5RzP7dY/2I/Tw5jRNuz8G1xDryPSV9DY8hqfr2pE0G1/q+kdY9jkUD6y/Gv8OpMbfKGlHnhj0edpZv5/ucVNtkhn6jAVBaDP7lzzOsdJ4C+xbeH1NaV/5fRJrZ4Xvgy8ZDYXEd2sZ3Ng8M7IPSd/BH3yLyuNTX4hft5vi/+f3J7ozawfonyPpgX6Nt5o0lszAHRZdMVdm9pgi1UDCfe/s8IO89u9H8MzcVGIBeBhDbHWmH/mWV+LG4ka4R+6l+IQkdmzTDPmiGHK/YQ2n0M4iv4LOjPLvksgwbzJGM3tLn2OKtS2HAMwBLpH05X6uR6m/KiwThWzADcAgF0vF0uajJNKdq5YAJL085rVL3MSLf0NqaePgOgZGgbtSMyS5ZEWZrSPbWqQqN7TiYIoxMIT3VZm14F6c08OyWVFPayf8wVYe86b4zeskXCOtdfxVkt5vBc21CLNox0/tFH6/BFgdz87r+HwlrQYsWz5nGMNDlhb1bJp2v0LZeAMws19Linq4aFYmCHUn7fwIeL2ZReMw5eVsPo8bzd8AdulnKalqubiCqvJg881s3URfySxZVcTvhc+2aqKRTPaoSfm71RIM/paVBIELvNXM1gqeyAfw5ernJX0fL1uXYunSvWah4vvYfaawTA6wWul/EPWWAi9RRfKDVQe5PyFpXStpZsrFtp+MjG8p3AvW8sKtj0tFnUd1hZuuqhMFypUkWn3NxY2aJ3D5kMtxT/NtFedqlCHf78pQeYiJ17H3A41Rg8U4E57FW+H3m5XxBIikNFJoU7sKy0QgL6EOSORiORf4oVXU/gvt5uOaO4+2NhV2R93EdZcACv3MCz+xfj6SGF/lQ8bSQqrJJUxNkKweebZwzKPWFX8k6UrcS3V9aft6wPfNbKOKfopLvWfhFQ6+H953LQVJ+jlwoJXS3SWtjWdgJY1dtdPuZ+NGbM+0++BhWbu8LBYe3jdZJAO4PG5JN5vZa1J9FI6bjyft7GztpJ1kRq+k5/HwhF8QyWKruP5aFR9GNhXem5mtGmkTiyFsxWIeaGbvrvi73oB7nX9rZn8NHocDcM91NAtd0k6Ft1/GhZRHqDIM66AeIs6JNk0za0+sOG30PpP43IuNuoxxSX/BDYJUiEZSJkheLeSneGxesZLNTrjMxKWl4x+hHYt2GXC1VYR2DIKkf8f13h7teXC7TeMM+Qbja3pd1B5j077C/h8Br8ETRU4zL4tV1VejKiwTheyBG4DSxfLlXhdLic/ggd9P4bEzc6131lGtJYBA66G+Dl4A/lQL+l09KC4BdT1kKojV+GwRHaTSMVV7x4zSQQmG2sF9Hr5k2XgL55gnD+yu4ungSXoYX44szuheEDl+2bLxFvq6SR4DlsQ8M+xESSfTTrtfjIoyNrgX7CxJu1u71NrKoW0q67hYIB7c8zLyvsIDskEY168ltZJ2UktQ4JU/mswuy/WHF8AzTPfB60p2UTQU1F1d4qxUR5KOwJdZ5gH7y7O9d8WznKMTo9DfiIEmaa9hGWwRKkWcE7T+v6Lzfy3ce5zivApvfoqFqfA4J9o0Eq8FMLNLJW2EC9HuHDbfCmxskTARM6v6e4eKBVmjmgySIV+Xl8urnKjwmvA+trIyyBibevvAM4T/gUu9fFrd1VHK4SRNdQ8nBNkDNwDBq/CP8LZr1h+5WGLneCX+YNsGz8I8zBKK4pJ+D+yWWAI4wcw2rOinJfswC3gR8Pl+XelVXrU6xDxwKsRU4csTxZiqQ4Z8E0Ke1FEVILtF6fjbgE3M7G+l7TPxGXM0aD8cszG+9PoS4GgLemKS3g180MzmlI6/M+b1CvvuMrNUuRrUnXZ/uvWXdr8HviT/Avy6/TuuD5hKEqidCV0x1qEn7RT6WAD4IB6nNg//Xt2aODZWXWIfq8gID+1uxWUV/iVPTvkznkl6T41xjpqOWZNzN/3/Nuyrtsd5WPeiyHk7StBNBtQw2L+fZchIm52q9qcmIWqQRDeIB64uGlD3cLzJBtwEQC4uOxt/4OxnhXpzpeNqLQGU2i6IxyDMBtbGhTyTFRVKbfv+0lQsvQrYqWzUyjMAt7WaMVVNkWf8ldkYN2L+amavLx3/UWA33INTjJk7HF8qL2pXDTq2U4GLzOyE0vZdgbdboqyLBki7L5xjiXBsVyzQaBGMrC3wLNRdSvuKmXJQEKG1UPc1cc6Fcc/T3rgh+/VeHufC8u4u1q4uUWupJ7yvbVyMsgH3HO1s3I5d9DnBrNFXEwPu6vL3rbDvJgsVF0rbV8K9cM+G92vgorL39vIAqlPv71dmdosKen+jYRhORBr+r2obfaFdkwzV5/EJvXANwtY1LGAxMxsVfTa1dQ9bE+GeuofjTTbgxomS5+3P+MP3F71iLOSp7a1adOBLAN+JLQGE4zcP/WyIB82fZmZ9Z8iFc9Qx4GrN1CIPwb5iqir6v8zMNu3z2DfjIr6L4VpVv4oc8yt8iXwHOmPmjuhlZKqm0rw8Nm8u8AydBvoiuAZX6n98Cc1m4l01dUsNuzS/VLOSRantCnipqxvN7Bl5du9eeFzcy0rHxmQTZuJLJHea2QGJPu7HDdij8biW8t8UC6YfVnWJDkkGS+hAqjNr+AV0PqCGZlg1NCi/XdpUNJyrJoj/BGKGcpV8S22Ps6Tf4ob2nfKkn6vwSe1awFWWFpRFDfX+Eufay8yOTuwrTz46qLguFsIlWIrlt5I6hpJuwGPzWvVSo9mqiXZvIbEcaZEwnaYTjdGcoIwmkpbEHQtR3cOJQjbgxokw678Rj0t7gtIXvvxwH0I/l4Y+yv2kgsFbD5nYLKj2Q0YeGL+1FTKKwvb76YzT+kzxfd3PQdKfraKEWTjmHXg25dO44ZZ080vaAV/WPRn4htXQBRpgOeqteGwlwC1mdlG/fdZB6UzTf8czVLtiZMPD6Wvm0jetZcRWJYvtzaxcyaLVbi88q/QuYFFceuBwPA7vG2b2lz7HvCCuYRYtoB0e0lXGbDI2rRBmMAeXEvgRFdUlEkZmsbMm2X5Do6EBF5uAzcQ9V6dXGC234J6wKBZPSKjtcS565iQdgtds3l0eN3ttzGtXaNtI7y9xrmRCVuG6EJ6FuWtxf+y6CJObi/DarteHtuvj2eVvNbMuiSN5fO0mhZ/FaSdcXG4lqaRCu9ol/poYfaHdwEve4bNpxcs+OMylzcgkuzVhubRfg3g8yQbcOCHpS1TP0mJVFYpp9x27SM9yd+7Rz2gFULcetu+gLR/xOzP7j9IxA8dUlc5Xmekq6Wo8Ju0I/GZX7q/LgxQe7AfjS9A/BuYXjh+z2nwp1FwqpngO4Rpf++Ne3UPNrEs2QjUrWRSOG8mgDstgdwCbWkTdvY+xdmS2jQbymLYdgFmWri6xkvUv2TLmSPqcmR02pHPNwI2CVIZ5E2OxtsdZ0o2t+5yky3BP+Dnh/Q2WkHwJ+4cWT9XPRDEc12+FiZOAeWUDWdKncdmeypWNcOyLcU/yXsAqlq5W0uR/1aiuc8RLXW4YEw0+EFjYQrKKpPvwMmMLAyeb2dfKbZqSeP7MxJ9bXzKz0yL7Jww5C3UUkMf2zDGzn6aOMbMvNTj1e+o2sFIlgCLBZZ/atxjwcbw6wo14vFdfM58wA90Rn5FfhS9NrWKRUjR1DbRw/pTB0vIWVvEPPFD/P8JPx3AoCQ0Hng3tFsXrN86PHBMbZ3k5qrOzhPezAWdSIRVDoqYsjFwDO+Mxflfi8YfJ4tR01q/EOgvOv7Si3b9as3Qzu09eEaOqPunMyOZlgA/hS9hJNISsZvOkleNJCGoHziEImEo6y8y27+fcY8gjkl4VlhuFJwdtjwt071y13F3GzJ5SOtMdqnXRUud8GNik5HH+RQ+P842SvokbE6sBFwBIWrqPLqv0/qIT4KrhD/m4jS1SQ9rMvi0p+n0M1/n6uPdtU2BV/HP5AZHJ6YA0retctwYy+MSpKGj9mJmtH/7e39BZy3ogKlZBZhJCjobV12iQDbgBCOvku+NBsecC/wvsAXwWz65LGnCSzjCz94XXh5vZ/oV9F5jZluU2iWWIF+MXePRGUfSKSPqxmX2wsPsqEgra+JLhs3hw97vx+K89U39Pob/78dij4/BMvicl3R0z3sLxTWKqqsR/f141Pqup8i3pnfiS7rl4xmFf9RADRQOljhRLXRpJxUjaHf+fXgi80/rLnqxdySJQlB4AWL74PmLMXkt7CR/aIrQXA59IdaLqShGpKgJNKVo0o6K/NSB74lnQ0C4ttAr+0P8WfVZ9CEb+B4H7Kw67W9IuZvZfpba7AEvEll4lbW5mF5nZxZLuKS5ZSdou4Tn+aPi7Vga2LHwf1yIhklugliSRuiucjOwiLgPUalecfCwYvLkj10piubEq9jl1z3mSEAONx/H1u+T3rWFMcvrk701CCczsH4W33wrbng+e4FEnrBQMUvVjbDCz/NPwB39YnoRXRzgDuASfIazXR9vrC6+vS+0rbd849HE2fhO+GY/j+Cv+AB5KP2HfTYXXC5XbVrQ7Gp/h/xz3wi0O/Kni+PNwmY7W+1txL8EHgXMa/E+W7bF/v8LrHUr7Dosc/zvg34ZwrSQ/6yFej4uHz/xneMzjm3scPz9cPzfhXtbWz014okGszYa4PtoXcUN6a+BQ8DCXAAAgAElEQVRLYduGFX3tVPUzxM/gZmC18HoDPM5x61H6vK+LvZ4oP/iSXOv1KcCevcaLGwVPlH4eDve3l1X0dS2+7FXevkjFtZT8/Ebj88SFtMfic78b+FP4Xf6J3gvD8dtFfrYH/phoMwfXbLwMX6Y8El9VWKHH+GbjS5IP4s+rLXHjfC4+SY212bnhZ3F2gzZ3JK6lRfEEprH4H74Vj88c9b4G+ckeuMF4pbUDan+AB6CuZBVlTApUudZT+47FU96XwgNe32VmV0p6Na4iff6Q+gH3vvlBZs/1Oxkxs70k7Y0HvM7ByyAtJS+K/UvrFite3kJAfOAJMzsLQNLH+ukzLJ9sjxsva+J191LMDmMCrylbTKp4J/75Fv+eYdWmHItg03/hN+YngFfQu6xYbbVxM7sqeNt2py2Gegu+BNRVyaLQrqrsVPQ+pGY1aJ+x4H00s+vkmY6jIklDdUk3syHKdDRkvqTlgb/hci2HFvZFPRlm1kucOsVCFknwMc82Tt08agu2qqaOY4mBhXlDPOx78RCZrRKDaKLi/xvSKwvRGDIzOxW/7yOv07ohvpz6NUmLWFrHsHY5PKsIxenBT0shL60kgXmWliw6E/i+vJLIP2Hkcz+WRA3fpiTiymfixm1llv5EIBtwg1E0cp6XdH+fxhvAC+SK1AvgN/+WOnVVHNdCFjLiJH3Fgr6OebH0VD9LS3pv6KdYr1C0lypjrFt6IM0oPKwqH07mU5iLgYvlulytRIbvAi8uHd4opiq40rfBjbb1w3m2pXcdyUFUvick6paK+Zb1IRVj7eoLq1CQpTGzP/Vo97C8BE1L5uGuXtd93aV8Na9B27RSRG0sESQ+gTgYr6iyIHCumd0CIzGqlf/jMnKx433N7KOJQxaQtGzZiA+JCinKOn+pfUVi9SlHdBwr+gKfSCYTfiyR7BOWF7fC7zXvwKtzfC91HnmW+xJmdmZp+/b4BDVWfzhaE7gXwbDZiHYc3OtxWaqqmMSxnOTE4rZnAuuEJfdYvOMX8MnGfZLuhZGydv8V9o3m+AwPSfpH7OCJRs5CHQC1BQeBDrmNnkaOqrW7MLO3RtrUVqhWdY3CxjeOFJKWNLMnEvvWtFJx5jCjPsDiMVVft0jMmqRT8PidC2iL197Vz8y3yWfYFI2d3ldTqZgl8YDn19FOgFgPXw7bJfZ/DN6yw4AP47GOrZvriXh1j6jMijrrwvYUwFXDGrQaclbzZCf8v5awQiWR8NBXxBuOvJbrN3Ev9jl4fNWxuJFwpJkdlejnQ8Cn8fjfouD1EXgsa5cHVu0MReHf59bkS3jG8jI9/rY300PHsXT8Y3h4QSqT8iOl47eknUF/MV6h4xgzW7lHP5fhGmKPlLa/GC/X9IZEu9fglUOKHudvWqS8Xjj+evy7dw1wefi5MvZ/LbUbqnRTE+R1cM9IfY/DMTPonCQOvQ5t8Fw+a93C0PeY2dxh9zdssgE3idA4KVTXoWQgXVhc0ogZSJI2xG+MJ9F5498Jl3C4KtLHPNyj+CNcmPh+9VnIeTJ8hnVR8zI3J+Hxil8xs/lhm/CH4mpm1rWEIE8yWQIPdn4ybFsSf+g/ZWbRRJe6hrOkW81srcS5kvsygyEv13ccvqzWCik4GTi4Dy/ru4AD8IxSww2Qr6cMKzXU0VMNHcdSu1oTNLUrdOxsIUGgn/uMSlI7pX0jMiil7dvg36Gv0a5D/To8zGMfM/tZpM06eKxyrYd400mOPFv4U8AaYdNtuHF+SZ3+C+dLOR3e1GN8vVZZ6oyhsTD0RCAbcAOgkEUVXq9i/WVRjeyvOndV25pjrFUNYAj9FT0tHZ6VmKclbF+WdqxT68b/a7zE0u6Jfl6Nz45n4TEVa+B1KJNxWNMBSS8E6DULD8dWKeFH98kzO1cvPzTkWW23V5zvT7h3ZgHcK9NaChMu5Ltq6fhGNWjVILs700Yljb1+J0ZjhRroOBba1tI/C97e2bisxZ9wb//B1rtG7h3AWlaSXQrhJLcmvlc3ANtYKRNc0srAz6xC324skLQV7on9Cj7RFh72cBCwh5n9sub51gBOinkj5WLhZQzPol7Rhhi6oAGEoScCOQZuML5JO3bnLDrjeA6iQn+LzoDVrfFszBaV2l01KcaYfQyXWBhNase1BKPrYHlA7Rzc+/Ym/DONd2J2O54J+UV5fdM5wNXyOMRNBhj/pETSJ/DZ+uLh/d+Bw83su01PmdhusRm/eQxo1WzwN3iFh9br4vUfm1EfBVwgKVaDNrqMFyg+HN+OCxO3GDiIfRqwmNrxuABPF9+nDKQmhrPammxRYp4qmuk4tthJkaL18njLh8zsj6X+W9qKB0jaBL/HLCwvrzfXzFIagWcDJ8iD8P8R+nghLoeRuq8vVDbewhjuCYbfUAne0gNxTxP4pPnwCkNsX3xZ+IbCtnmSrgGOwcsNxvqJlRWbiZfU+0CsjZl1JHOE/89BeMb8p1J/U0OKY9scnxi0km/60vscT7IBNxiNA+KtEHsWZoZDjUUr9DPiDpe07RjEALWCyEVnQLmIPEDlwdFzws+j+HKqLBIDmMJcEPZaSfvSp7bVVELSQXgQ81ssJCDIa+1+S9JMM/tqounlkg4GDikaZZK+QFoI9FZJH7JSjUBJHwBurxjmeXW8ymZ2vKQHgUNoe2ZvBb5q1QHXTbOupxxKB9P/B/B/FgmmxzPpi175hwrvqwykJobz/HDOU/AJbM8YJ6up41jiMNxoKfMELn9UNhxGDE/zTPnLJe0JvA33zKUMuIOArwL3yoPwAVaiOgj/OUUqe4RYsaGVjgrn/Cg+md+PzuXar0t6ecIwXa5kvAFgZjeqOlGlrM1nuJ7jnWb2TI9xboF/XoZLPMWu10EZRBh63MlLqANQN66nn/OMJmPRT934ikKcyS4WMqN6LdtIOgIPav1+afvHgFUsUeh8qiJXal+3HKMkDwK+wcxWT7RbEn+obEBnEsP1wK5m9nikzQq4F+EpOssfzcDLHz2Q6GusrvHb8cnAAsBP8MzBVnb3T2y4IqUTGjUMpm/YV6N7YSEUYmvcQD8F12tLGi1qJi+DpKvN7PWJfSNLaYVtA9XxVI0gfEnb4vJGh9H5vToA2N9CubBSm/3M7Bvh9Q5WqDMt6TAz+1y5Tdg3UtautP1FeA3Qru+IpGvN7LWJ8yX3NSEs134el0Q61MwuHda5I33NwIWhl8erDd0Qtm+CC8z/eLT6HgbZgBsADZhFVTjPlDHg6hJuXLPxFPjz8TiTH1hFRqmka4HXReKwFsBFQ18Tbzk1kXR7RUxYcl/hmFVpL6XcWl5KSrTZnE7pkQt7HF83gLyRka4G2d1TFTUIpg/7ahtIwzCcJc3Cs14PN7MjEscU5WVahk4r6alKXqZXzOddZrZaadufiMuWAJWyI00Nq3XxONGR7xWehdrl+QrHNzWab0v9P1L7lK5pWvmsk3Q31bp9q5Y3hkn9/Xg1o1i4Rlf91OlKNuAGQA2zqELbYmzAmyh9OYZ1kapTqHA1oKPEUuomPkB/jep/yqUNtsEfApvjGaZzLejelY69OWWkSbrFzP4ttm+qIulCfInhwtL2LYCDUkZLkyU2NUzckfRPStdeaxeROpRNjXRJC1tCymS6oWbB9I0MJLkcUAozs+jSa/DozsbFcf+GV3yYa4kkHDWUlwnHnIqr659Q2r4r8HYzm1XaXkt2pNBuoJUZ9ZmIpAYJY2Hf74HdyoZhMCBPMLMNI22aZgy/qLRpAeB9uGF8nUXqBw/yXK2L4kK+xb6G+nwcNjkGbgAGvJCKsQF1i/3WYTtgWVzcsciKeHzLsGlU/9M82PcU4BR57cAd8DiaLgMOeEqhSHdxo6RX0UcczRTk08DPJF1K5/LLprhRnOJgXPy4zCV4TFIs5qRp4s7dVNewLbNo2XgDMLP5UmVZkAcknYtfSxfHzjGNaBJMfyS+7Fo0kM6VNBdPgIoaSFWeTUkpzb7f4ElWZ+C6go+FXYvIYzdjNUOXLBtvof95knpVkdgLmCvp/XR+TxbBDcgy96aMtB40io2W9El8ybTfRKQmQsjgXr5z5Rqhxc9hJ9KJBY2edWb2GIxMvD6IJ0PMA7Yys1vr9CVpRdzYH5oBR1xoeNKQDbgBGNB6/7CZ7Tz0QXVzFHCgBdX9FiH+6SjqPVR7YgXNMUl7WUUJpYpz/A0PEE4FCR8M/ErSV+m8AR2I36SnG0/jZa1Wp7388lvgBLy8VopFrRQfBWBmjwaPaIymiTvPlK/BHjQ10tfEsxO/APxI0lnAqRaqlkwzysH0/SjaD2IgpfhvPIi/zCvw++fHgN0K2xW2x+JgJWkZi8vLLFA1CPNs903kemYtD+4vLF4NoDWOJtQ2rNQsEamqlFuyjJ6ZXRqM6k/SLod3K14OLzqpV8MSZsHb+xFgb1xofFsLsc79IOkl+GR+Di4uPWxx3f2AU6qW3ic0NgEKsk7WH/wG9ApgZTxO5BXFnx5tx6T4NXB1xb6bRrnvUfsb8RvwybgBdy2+5Lr2eF8T4/ED/Dz2twNr48HqqXZ34PIF5e0LkygaTcMC5LjgZ52/6V34kuvO4e9YG/fS3AG8u89zvAwPUL4C+CMeED3u/69xuD5mFD7DGT2OvQ1YJrJ9Jq7z16T/Pw/xb9kNuBp4M+69WwKvu/x74GM92m5eeL1Kad92kePXKbxetLRv44p+5uOZrU/iGaRPFN4/m2jzB1xIPPa/u2MCXEOvjfzsDtzb4xlzPy4Wvhe+GtTxk2izBO4N/B/cc38kcP8o/V2t+8M9eBLJ+uP9Wdf5yTFwQ6JBkHYr6Dc6y7MKQcqa46oVuDtMJmLSxFRENbPrCvu+ji+vx5bYHrWCllehTaPEHUmfpdpb3SUorXZpoZa35GYqSgsl+n0h/rD4DLC8mVVJHkwp1EAsXC4xsRshRilsbunv/dBKSSV9juM+M4t54Boh6T2456QoL3OE9ajnWTc2bYAkgdrZq2qQiCRpMeDjeGzzjfj/p6fkSMXKUTQeNdK+7xJm8movVZ67riVqSU/hFREOwrNiTaMsKC2Xa5kdfmYAp+Ke+ztGq89hkJdQx48V8JlFNECWakHKOlwj6aMWD9y9NtGmMSrV/yy59c2GUP9TcXHIEWz6ZSlVaRbNqNjXRK+qGFPXiuO00vsYL6zY1/W/DA+nh81sp9L2l0hazCrKOoW2W+MTpE3w7OYDiMf0TWWqwiNSYuHb4d7slv4e+OpCpf5exXdSQDmQfSDM7Oe417kudZf/m4YLNPGKPCBpC+tORNoc1+aLcTLwLC7D9G78/xUtZVeiFfcl4BehbU/UoISZNQsTOhA3pL4LnCrp9AbnqIV5eMfhwOFy4eof4qE6Q6v6MBpkA24A5JUDWsxQp4J5Ly/aXZbIzBoydQN3B8LMmsbJ1KHKUJiONDLSw2z9AElfpv+i0UsDLzez74Q+rsKFWo1O8dZyX0kBaUmxuMVv44ZX2cjYDC8u/onEuU7BhVZ/g9c03LHK2JvKWDNx8B8Ch+LGwRbWf0Zv1XdyaN9XDaYBWTc2rWmSQFHAvPuk8fKFTRKR1rJ2Gaj/wr1WPbFCLKqkp62P2FRFSpgVn3/DWjEK5zoaODrEAM4GzgFeJml/PEN56F4xSQvhYRuzgS3wRK4vDbufYZOXUAdADVPnQ9uqNO/Xm9nVAw+w85zFwN1bLB24O+kIgbKvAR6wHmKeUxG5Evpc4BkiRrqlA5Nr61XJxWFnm9mfw/t5+A1vceBESwQz9xh/1xKbqoVDk1Ixkj6E3+SfrDuOqUaVEQHpOsghgeVgvJj9j/GYrl5tljSzJxL7uioMlPa/lYK3r8qzowE0IOsu/0v6K65LKbzm8mmF49+XWo6X9BfgONLhMali8Yvh+nlFHbifpiYgdZZ1U/TbRp36ikbn31b5rBsGIZxiR/xzH1rYj6S34576d+MG8Gl47dl/DKuP0SQbcAMg6Q1mlio51KvtllbQOJO0Fu2SUo9bQoAzA5K+BxxjZrdIWgqfET6PB1rvY2anjusAx4m6RnqTGJ9yvJ2kY81sj/D6SjPbuMG4/2xmK5a21RYbLeyvW+dxSiIXRJ0H/Apf9uowKCoMiUXwJecd8dJ28/toU7yWLiwa8hXXUquqx7/o1JxLVvXQABqQqqkvJmmn1LHh+GiGfUNDai/gMuD6fuLYQpvn8dqw4P/bGcA/6RGuUlo5+ilt0WWgvjdNk1h7UdJFuOTQWVbKbJ4M5CXUwfgOnTpYfWNmF0hambbR9iyevfo6ixQ1znTwRjP7eHj9YTxLa1tJy+EPq2lpwAXPRc+4lAJNYnw6vBQt4y3QtFh8bBb5V0kbmlnHspCkDYEu6ZPC/iZ1Hqcq6+P3lq1wA+lU4MKy96qIpHfitU/PBTYws3/22VfxeplZsa/IscBxZnZSaQwfwuOfYkuHjTUgywZaqf3plPTFUgZaHzSRH3k5njz06pBkcBlwOXC5xfXwMLOm8VlF3dFirVvoM/5aksJxO+IxdcnkILmY745AKxHjNjxB4LHE8cU4amBEVmZocdQtxiiMadTIBtxgNNUJQtIVwJK4y3Z7M7tT0t3ZeOuLYhHkt+M6U5jZQ6rUeM2UaBLj8/tEvN3HqIjBidyUR3YRT7TYFzgjZLEVl4U/hMeppNib7jqPFwWv3KWktQWnHOZK+zfgcY6b4MbcMZL2N7NzE80+D+xgZrfU7S7xOva+xVpm1hWHa2Y/kvT5RJvR0oDsqgsrF4ROYulkqdphBGa2T+hzEfzv2QSfnB4v6XEzW6vcRtIvgU/WfWbYAOXkJG2MG2Pb4ob67lSUG5O0JnARLglyPf59fz3wOXlVl9sjzS4ElsO9s6dVLb9Pd7IBNxirVH3JK77gAA/jmajL4p6LO2mWvTQdeVwuJfAAHuS7C4wEolZlXWY6aSIEujdwjqQd6ZSZWJR4VQegfnKLmV2lTrFRw5dCd8KNuN8nmirmsTCzx6arcS8XQ10f14G7H0jGiZrZGxt20wrcF51B/CLtmY0K74Z4tqh3ycx+Ja+fvC/wqbD5ZnwS3Le8TJ+8Aa9gcyp+vfV1AaU8Zn0yA5/YLxV+HgRSf9eJwAWSTga+0e8ypqTX49p8D4X3HwK2xzXdvhQbv6TDcEHd+/DP48vANX14KQ8B9jSzM0rn2x5PlukqpRVWU5bCM6JPCLGBp+PG3CCf7ZQjx8ANgKQ7gV1T+6tc9qF96yKdA7wKz/B7R3nZKNOJpNXxLMXlgKNbSzDyNPctzeyz4zi8aYE6i9mPalJMiNmZgz9A7sbjVY5NHFu7zuNURdJH8LqTiwFnAmfYKCX5SKosmReLnZN0NJ78spe1dQgXxyvE/MsSdZMHGGMq3EXAz81s+dLxC+Ie/jnAOrjkxqkNvJP9jO14/Pv0JG4sXglc2SsuS65z+AXqJZxcB7zNzP6fpDfhq0CfAtYD1jSz/4i0+Ssuon00Lg7+tPrQZpP0BzNbo+6+wjEL4B73b+P1nqN/03QlG3AD0CRYteJcy+I329nASuWg7kwbSRvb9CyNNG0IRnorPvRRfAa+j5m9oke7zfDA7GidRzO7dNQGPcEISQw3454VKHn4e6wQjDry7PGv4R7Wog7hycDnzOyZRNOm/VXGh1YtLUpaFL8WjwC+nJpADDC284EX4/+vy/HErJur4hVDuyYJJzeY2brh9XeAR8zsS+H9PDNbL9KmaMxugcfavg1YsSrpouoZ2WNfa8n/jXjow+lm9rtUP9OVbMANgKSzzaxL7VzS0sDuZnZow/O+wurVjZxWhBnkVcD+ZvZ/4z2ezPAJxsfvgF0s1E7sZ8YfjlsWj80pKvV/x7wW5rShbtblWNOaiEmaQVuH8I81EidGnWC4bYUbEyvjyR0/jGXIDqEv4dfsJuHnNcD/A64wsy4Pp6R/B74exvSVfj83STcD65nZc/KKQLuZ2W9b+1JZvoX2i+KJCy0D60Iz2zFx7P10JkmM7MI9r12OCkn3AI/jnsGL8HJkI9TNkp3KZANuACSthCtTvwwXGzwV+Aoeo3OKmSVVsQcIkJ32BLf6p/H4qEPM7MfjPKTMkAlxTrPxGMfz8Zv5D8xslR7ttiEtNLyfmZ05qgOfBEhaEdfyO2KcxzGmpfZUU/dQ0o9wI+qXePzVzWM0zpfj1/0muKH0IjPrqrYi6UZgTt0l3ZAg8m7cs70Snm1sklYDTjazTWuca0m8QP2PEvubLK1fwjhqzk0msgE3AMEl/xvc3f3O8DMP2NsS4qmFto9QESA73rPjyYBcO+8KPBh6VNLMM+NLiInaBp/tb46XeZprBQ3F0vExoeHN8VJeJ1oDoeGpQEhk2AH/HF+Gf4bJ7MEh9729mZ0V2d5EL+3fgFVbWbSSjsKD/QGOrfLOqH4t1Pm0dda6ZC2GeZ+R9GnanrdnCRIi4ecmM5sfaRNd7uyzv42B5YELCvGHqwMvzB6uyUM24AagGEsQ3t+Px691fdkibccsQHYqImkXPPbjW/jyWL6QpziSlsGNkFkpQ0yjIDQ8WZG0BJ4ktSOwOi7LMMvMXj7G44gWs1e7MkKU2CqEvObq18zs8vD+VjyI/wV4JmoyE1qF6jcqVcIpvx9rJP0nQfvNzFK1T8ttUsuTQDqJYSyRdHDFbjOzQ8ZsMFOQLCMyIOGh0vKePQYsFWIZKtPJzex5fGno/EKA7CWShh4gO9WQdDlwDy7oW+npzEwdQkbe8VRruY2G0PBk5a94rOhBwKVhmWzo9Y/7ICW/8QidorL9sHzLeAs80fLuybUIq2ha23TUMbPKsmcJFsQ9yxNZHydWkmpxXPrpRbjMSKYh2QM3ACHYcj7xL5D1kWI9ZgGyUwlJbzOzX4/3ODITD0k/BS6xuNDwW8xszviMbOyRl2eajT8wT8WzFP+3n0SQIY8j5YGr7fXqIUtxh5mtXtG2VXqqWHaK8H4xM1u4zljGm7GMIZTUlaxXxMzO7uMcSwB74sbbGcCRNg1rVw+T7IEbADNbuWnbUoDsl8cqQHaKsE3IwIpiQ9aPykwqGgkNT0XM7GjgaEmvxA25c4CXSdofj4G7Y1h9ycs/pSptpMos3d2gqwclbWRmHULOIabrwaqG1rz01ERlLD1vW5den1d4b/jyfBRJM4HPAO/HJWI2sAp9O0kfMLOfhNebmtllhX175BWqNtkDNwDqFoY04NFWAHWPtmMWIDvVUGeR6S8DHZlO1ryGYWaKoDEUGp5MSHoN7vGfZWar9Tq+xnkr9fksIoskV+MvL2s+CswzsycT/WyIexJPotNA3wn/m6aNCLqkmVVhOqPYb9+eU0lH4HGYx+Oxyn/vo02tZJPpTDbgBkBxYciZwCJ4eve8MR7StGO8g48zmcmIpCNtyBVLgvTLanjW5P/0cfyJkc0z8aSuXVJGd0nnD7zE2rTT+Rsv6hhRwVHxNK7l1pejYiInm0w08hLqAFhCuVvS6/DSH28a2xFNS/IMJJOpzw7A0Aw4Sd/FDarLgUMkbdgrw9DMPpw41yvwGKmNEu0exovaZyY4Zhatd9urWeJ17P20Jhtwo4CZXSOvUZfJZDITkWHHT70JWNfMnpf0AryKRqMMQzO7V15mq4uw6pF6iNt01fkbbYJ8S+tzf2VZiD4m+VJxrsWB9+KrVFtFDnl1ECkWsGp4TXg/pgk4E51swI0CwcWfZwqjhKQnaQv3zpD0RGsXOX4wkwFGgsejuxi+AfdMkEbCzP7ZklJqgqQ18GW3GDHx4Y2B/XDZlMzo8M3C67rSL8hrtm6FaxK+AzgL+F7i8DVrj26akg24AZB0DN2G2kxcTTtZRiszGGa2xHiPIZOZBFxLdymiFkMtFE/bawKdnpPWpGqdcoOSV6fFTLxCwAdjnZjZtYX2b8ZFfBcDPm5mvxr4r8ik+LCZ7Vy3kaQt8aSZLYGL8Uoqr08tn0M84SUTJycxDEApGxL8ZvQYcHXWtxk9JC0GfBwPmL4R1857rrpVJpMZLRpmob65fBh+/7zTzJIGpqR34OLETwOHmlksmSwzRJpmf4Ykht8BO5vZ3WHbn6q0CAsrLCObyKUSo2QP3GBcbGb3jfcgpiEn4/UCf4cXZf43ssczk+kgGFWPm9n/hfdvxbXw7sGzNofmhQtxa7WyUC1R71nSZpLmmNnukX1X4xU1jsDrIHfIOVmu4zlavEDS+iSW3is+9w1wDcJfS/oTcBpeQaKKC4HlcG250/IzNk32wA1ASa/mLDPbfrzHNB2QdJOZrR1eLwRclbWBMplOJP0eeK+ZPShpPeDXwNdwmY5nzWzXIfZVzELdAjivTp3LYBzsiGfH3g2cbWbHRI67hOokhs1rDj3TB8ErdjXpqkM9P3dJm+DLqdsDN+Bi0tGyeJKWwvXjZuNL5KfjxtyY695NZLIHbjCKF3POjhk7nm29MLPnBoiXzmSmMjPMrFWd4AN4qMGRkhYAhq1RWTsLVdLq+AN9Di7gezruVIjKMwGY2VuGNuJMHe4a1DgONWwvl7Qn8DbcOIsacMFrfKKkk8Nx38YNuf8cZAxTjWzADUaVXk1m9Fi3lHnaykTNMRKZTJvizGZz4EAAM5s/CpOeJlmot+OG3nvM7C4ASXtXNRhGTc7M+GJm84ELwk+UgrfujcCluCf5d2MzwslDNuAGY92C4ZDlLMaIKVjTMJMZDS6SdAbwF2AZ4CIAScszAbJQaS+RXSzpfDw+qpfht3XFvsqanJmB2B9GEshaJdjuMrN/DbsjSfcAj+PXw254FYeRWMcc59gmx8BlMpnMFCR4wWbhshxnmNkDYfv6wEv7STSo0VftLNRC28WBbXCPy+a41MRcM0t6aDJjSxBWPhT4CHAvbmivCJwIfN7Mnq1oXrevS8hxjn2RDbhMJpPJjAqSNsMV97syShPHL4MnMsxKVVUIQr+7Aa8Om24DjjezO4Yw5EwESUcBSwB7m9mTYduSuMDvU2ZWqQIgaW0K/30Nwf0AAAhHSURBVC8zu3k0xztdyAZcJpPJTEEielojuxjFEI9+M0obnvsN+DLp8cB1+N+yPvBRYDszu3IY/WQ6kXQnsLqVDAZJCwK3m9mrEu2WAn6Ge+taS+prA/cB25jZE4l2LwV2xzObAW7BpW+yvmqBbMBlMplMZiASGaX7mFnl0mqDfn4FHG5ml5S2vxk4wMzeNcz+Mo6kO8xs9Qb7vo3HW+4XkhcIWdBfx7OkPxVpsylwCnASXk0E4LXATsD7zeyyAf+cKUM24DKZTCYzEAXF/V0KGaWVivsN+6kyFv5gZmsMs7+MI+kc3JP6o9L2DwDvSxWzl3QrsE65Uk7Q77zJzLrqnkq6EviEmV1f2r4e8H0z22iwv2bqkLNQM5lMJjMoTTJKm/Bkxb5/jEJ/GWd34GxJH6HtFXsdMAN4b0W7Z2JlDoN+59OJNkuWjbfQZp6kXAe7QDbgMplMJjMQZnYOcE4ho3Qv4KWSjmO4GaUrhmW5MgJWGFIfmRIhg3kjSZvTjkv7pZldKGl74KxE08USJbgELJpoI0nLmNnfShtnAgs0+wumJnkJNZPJZDJDp5+M0gbn3Klqv5mdPIx+Mv0j6T4zWymx7+KqtrGqG5J2w5NS9sETVcBj4A7Hq4l8f7ARTx2yAZfJZDKZSY+kb5rZPuM9jumGpD+b2YpDPud7gP3ozEI9wszOG2Y/k51swGUymUxm0lPlCcqMHr0+9ywJMnrkGLhMJpPJTAVGI2kiA0i6ibSm4LIV7YqSIK0M1tcCV0mKSoJIOibRFwBm9un+Rz61yQZcJpPJZCYFIZA9uotswI0m72nY7khg21JW6bmS5gLfB2KSINcUXn8Z+GLDvqc8eQk1k8lkMpMCSXfj3pmosWZmq4ztiKYHklYDli17zIKH7SEz+2Oi3a1mtlbdfYVjrjez9ZuOe6qTPXCZTCaTmRRkA23cOBo4MLL9ibBv60S7QSVBsoepgmzAZTKZTGZSIGmDqv1mdl3V/kxjljWzm8obzewmSStXtDsKuEBSTBLkqGEPcrqRDbhMJpPJTBaOrNhnwOZjNZBpxtIV+2akdpjZ8ZIeBA6hMwv1qylJEElP0va8vUBSq+C9/JS2ZK2RT2FyDFwmk8lkMpkkkk4FLjKzE0rbdwXebmazxmdk05tswGUymUxmUiBpu9ImAx4F5plZVZ3UzABIWhaYCzxDZy3URYD3mtlDFW3fBRxApwfucDP75eiNeHqQDbhMJpPJTAoknRjZPBNYB9jFzC4a4yFNKyS9FXhNeHtLr89b0keBj+FVFVryIK8Dvg78wMyOH62xTgeyAZfJZDKZSY2kVwBnmFlMVywzTki6FdjMzP5fafuLgEvNbM3xGdnUoJ803kwmk8lkJixmdi+w8HiPI9OFysYbgJk9Nh6DmWpkAy6TyWQykxpJawBPj/c4Ml08IWnd8sawLccsDkiWEclkMpnMpEDSeXSLu84Elgc+MPYjyvTgs3jprBPpTH7Yifz/GpgcA5fJZDKZSYGkN5c2GfAYcKeZPTMOQ8r0IGSw7k47C/VW4DtVmauZ/sgGXCaTyWQmLZJeDDxm+WE24ZC0kpndN97jmKrkGLhMJpPJTAokbSzpEklnS1pf0s3AzcDDkt453uPLdHFO64Wks8ZzIFORHAOXyWQymcnCscDngKWAi4B3mdmVkl4NnAqcP56Dy3ShwutXjtsopijZA5fJZDKZycJCZnaBmf038JCZXQlgZreP87gycSzxOjMEsgcuk8lkMpOF+YXXT5X2ZQNh4rFuKEYvYEYuTD9cchJDJpPJZCYFkp4H/kEwCIB/tnYBi5lZFvPNTBuyAZfJZDKZTCYzycgxcJlMJpPJZDKTjGzAZTKZTCaTyUwysgGXyWQymUwmM8nIBlwmk5k2SPq8pFsk3ShpnqSNJN0T1Pxbx7xF0s/D650lPRKOvUXSmZJeEPZ9SdI+4fVJku4Ox82TdHnhfO+SdI2kWyVdL+nIMI7Wsc8XXn9a0hpBrHaepNskHT/Wn1Mmk5n4ZBmRTCYzLZD0BuA9wAZm9nQw2hbpo+npZrZHOMcpwCzgxMhx+5rZmaU+X4OLz25lZrdLWhDYzcyOAw4Nx/zdzNYrtPkf4Cgz+1l4v3bdvzWTyUx9sgGXyWSmC8sDj5rZ0wBm9iiApMpGLSQtBCwO/K1Gn/sBh7aEZs3seeC4PsZ5f+uNmd1Uo79MJjNNyEuomUxmunABsKKkOyR9V9Kb+2w3S9I84AFgJnBe4rgjCkuhPw3bXgNcW3OcRwEXSfqVpL0lLV2zfSaTmQZkAy6TyUwLzOzvwGuB3YBHgNMl7Uxcwb+47fSwxLkccBOwb6KLfc1svfDz/gHGeSKwJvDfwFuAKyUt2vR8mUxmapINuEwmM20ws+fN7BIz+yKwB7A98BiwTOGwmcCjkbaGe9/eVKPLW3Cjse44HzSzH5rZNsBzuCcvk8lkRsgGXCaTmRaE7M5XFTatB9wLXAJ8MByzIPAB4OLEaTYD/lij2yOAz0laPZx/AUkf7zHOd0paOLxeDngRvnybyWQyI+QkhkwmM114IXBMiCl7DrgLX059FjhO0g14Tc3zgZ8U2s2StBk+4b0f2DlsXwh4unDcEZIOKrzf0MxulLQXcGqQHzHg5z3GuSXwLUn/Cu/3NbOH6v2pmUxmqpNroWYymUwDJM0FTjCzX473WDKZzPQjL6FmMplMTSTdBMzHM1szmUxmzMkeuEwmk8lkMplJRvbAZTKZTCaTyUwysgGXyWQymUwmM8nIBlwmk8lkMpnMJCMbcJlMJpPJZDKTjGzAZTKZTCaTyUwysgGXyWQymUwmM8n4/1Nm5c44hrRqAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l1sPgf-Q0esZ"
      },
      "source": [
        "In conclusion, we have no data for people that actually got f9(failed woefully), The percentage performance provided doesnt seem to make sense. Hopefully with more data made available, an extensive and detailed analysis can be done.\n",
        "\n",
        "Recommendation: Nigerian Bureau of Statitics need to do better in making data available to  the public and also have a means of communication where people seeking information or clarification on things posted on their website can contact them. \n",
        "\n",
        "\n"
      ]
    }
  ]
}