Data_Visualizationin_R.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "RyVGrbnHigxO"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TdTsCdcbQoVj"
      },
      "outputs": [],
      "source": [
        "content <- read.csv(\"train_ctrUa4K.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "5lO2Y40jkC-T",
        "outputId": "40ba1324-d4aa-4c69-93fe-c24a6f6d4636"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 614 × 13</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>Loan_ID</th><th scope=col>Gender</th><th scope=col>Married</th><th scope=col>Dependents</th><th scope=col>Education</th><th scope=col>Self_Employed</th><th scope=col>ApplicantIncome</th><th scope=col>CoapplicantIncome</th><th scope=col>LoanAmount</th><th scope=col>Loan_Amount_Term</th><th scope=col>Credit_History</th><th scope=col>Property_Area</th><th scope=col>Loan_Status</th></tr>\n",
              "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>LP001002</td><td>Male  </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 5849</td><td>    0</td><td> NA</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001003</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 4583</td><td> 1508</td><td>128</td><td>360</td><td> 1</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001005</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>Yes</td><td> 3000</td><td>    0</td><td> 66</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001006</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 2583</td><td> 2358</td><td>120</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001008</td><td>Male  </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 6000</td><td>    0</td><td>141</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001011</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>Yes</td><td> 5417</td><td> 4196</td><td>267</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001013</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 2333</td><td> 1516</td><td> 95</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001014</td><td>Male  </td><td>Yes</td><td>3+</td><td>Graduate    </td><td>No </td><td> 3036</td><td> 2504</td><td>158</td><td>360</td><td> 0</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP001018</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 4006</td><td> 1526</td><td>168</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001020</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td>12841</td><td>10968</td><td>349</td><td>360</td><td> 1</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP001024</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 3200</td><td>  700</td><td> 70</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001027</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>   </td><td> 2500</td><td> 1840</td><td>109</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001028</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 3073</td><td> 8106</td><td>200</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001029</td><td>Male  </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 1853</td><td> 2840</td><td>114</td><td>360</td><td> 1</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001030</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 1299</td><td> 1086</td><td> 17</td><td>120</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001032</td><td>Male  </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 4950</td><td>    0</td><td>125</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001034</td><td>Male  </td><td>No </td><td>1 </td><td>Not Graduate</td><td>No </td><td> 3596</td><td>    0</td><td>100</td><td>240</td><td>NA</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001036</td><td>Female</td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 3510</td><td>    0</td><td> 76</td><td>360</td><td> 0</td><td>Urban    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001038</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 4887</td><td>    0</td><td>133</td><td>360</td><td> 1</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001041</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>   </td><td> 2600</td><td> 3500</td><td>115</td><td> NA</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001043</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 7660</td><td>    0</td><td>104</td><td>360</td><td> 0</td><td>Urban    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001046</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 5955</td><td> 5625</td><td>315</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001047</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 2600</td><td> 1911</td><td>116</td><td>360</td><td> 0</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP001050</td><td>      </td><td>Yes</td><td>2 </td><td>Not Graduate</td><td>No </td><td> 3365</td><td> 1917</td><td>112</td><td>360</td><td> 0</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001052</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>   </td><td> 3717</td><td> 2925</td><td>151</td><td>360</td><td>NA</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP001066</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>Yes</td><td> 9560</td><td>    0</td><td>191</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP001068</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>No </td><td> 2799</td><td> 2253</td><td>122</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP001073</td><td>Male  </td><td>Yes</td><td>2 </td><td>Not Graduate</td><td>No </td><td> 4226</td><td> 1040</td><td>110</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP001086</td><td>Male  </td><td>No </td><td>0 </td><td>Not Graduate</td><td>No </td><td> 1442</td><td>    0</td><td> 35</td><td>360</td><td> 1</td><td>Urban    </td><td>N</td></tr>\n",
              "\t<tr><td>LP001087</td><td>Female</td><td>No </td><td>2 </td><td>Graduate    </td><td>   </td><td> 3750</td><td> 2083</td><td>120</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
              "\t<tr><td>LP002911</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 2787</td><td> 1917</td><td>146</td><td>360</td><td> 0</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP002912</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 4283</td><td> 3000</td><td>172</td><td> 84</td><td> 1</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP002916</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>No </td><td> 2297</td><td> 1522</td><td>104</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002917</td><td>Female</td><td>No </td><td>0 </td><td>Not Graduate</td><td>No </td><td> 2165</td><td>    0</td><td> 70</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002925</td><td>      </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 4750</td><td>    0</td><td> 94</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002926</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>Yes</td><td> 2726</td><td>    0</td><td>106</td><td>360</td><td> 0</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP002928</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>No </td><td> 3000</td><td> 3416</td><td> 56</td><td>180</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002931</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>Yes</td><td> 6000</td><td>    0</td><td>205</td><td>240</td><td> 1</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP002933</td><td>      </td><td>No </td><td>3+</td><td>Graduate    </td><td>Yes</td><td> 9357</td><td>    0</td><td>292</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002936</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>No </td><td> 3859</td><td> 3300</td><td>142</td><td>180</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002938</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>Yes</td><td>16120</td><td>    0</td><td>260</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002940</td><td>Male  </td><td>No </td><td>0 </td><td>Not Graduate</td><td>No </td><td> 3833</td><td>    0</td><td>110</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002941</td><td>Male  </td><td>Yes</td><td>2 </td><td>Not Graduate</td><td>Yes</td><td> 6383</td><td> 1000</td><td>187</td><td>360</td><td> 1</td><td>Rural    </td><td>N</td></tr>\n",
              "\t<tr><td>LP002943</td><td>Male  </td><td>No </td><td>  </td><td>Graduate    </td><td>No </td><td> 2987</td><td>    0</td><td> 88</td><td>360</td><td> 0</td><td>Semiurban</td><td>N</td></tr>\n",
              "\t<tr><td>LP002945</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>Yes</td><td> 9963</td><td>    0</td><td>180</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002948</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 5780</td><td>    0</td><td>192</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002949</td><td>Female</td><td>No </td><td>3+</td><td>Graduate    </td><td>   </td><td>  416</td><td>41667</td><td>350</td><td>180</td><td>NA</td><td>Urban    </td><td>N</td></tr>\n",
              "\t<tr><td>LP002950</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>   </td><td> 2894</td><td> 2792</td><td>155</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002953</td><td>Male  </td><td>Yes</td><td>3+</td><td>Graduate    </td><td>No </td><td> 5703</td><td>    0</td><td>128</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002958</td><td>Male  </td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 3676</td><td> 4301</td><td>172</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002959</td><td>Female</td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td>12000</td><td>    0</td><td>496</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002960</td><td>Male  </td><td>Yes</td><td>0 </td><td>Not Graduate</td><td>No </td><td> 2400</td><td> 3800</td><td> NA</td><td>180</td><td> 1</td><td>Urban    </td><td>N</td></tr>\n",
              "\t<tr><td>LP002961</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 3400</td><td> 2500</td><td>173</td><td>360</td><td> 1</td><td>Semiurban</td><td>Y</td></tr>\n",
              "\t<tr><td>LP002964</td><td>Male  </td><td>Yes</td><td>2 </td><td>Not Graduate</td><td>No </td><td> 3987</td><td> 1411</td><td>157</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002974</td><td>Male  </td><td>Yes</td><td>0 </td><td>Graduate    </td><td>No </td><td> 3232</td><td> 1950</td><td>108</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002978</td><td>Female</td><td>No </td><td>0 </td><td>Graduate    </td><td>No </td><td> 2900</td><td>    0</td><td> 71</td><td>360</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002979</td><td>Male  </td><td>Yes</td><td>3+</td><td>Graduate    </td><td>No </td><td> 4106</td><td>    0</td><td> 40</td><td>180</td><td> 1</td><td>Rural    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002983</td><td>Male  </td><td>Yes</td><td>1 </td><td>Graduate    </td><td>No </td><td> 8072</td><td>  240</td><td>253</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002984</td><td>Male  </td><td>Yes</td><td>2 </td><td>Graduate    </td><td>No </td><td> 7583</td><td>    0</td><td>187</td><td>360</td><td> 1</td><td>Urban    </td><td>Y</td></tr>\n",
              "\t<tr><td>LP002990</td><td>Female</td><td>No </td><td>0 </td><td>Graduate    </td><td>Yes</td><td> 4583</td><td>    0</td><td>133</td><td>360</td><td> 0</td><td>Semiurban</td><td>N</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": "\nA data.frame: 614 × 13\n\n| Loan_ID &lt;chr&gt; | Gender &lt;chr&gt; | Married &lt;chr&gt; | Dependents &lt;chr&gt; | Education &lt;chr&gt; | Self_Employed &lt;chr&gt; | ApplicantIncome &lt;int&gt; | CoapplicantIncome &lt;dbl&gt; | LoanAmount &lt;int&gt; | Loan_Amount_Term &lt;int&gt; | Credit_History &lt;int&gt; | Property_Area &lt;chr&gt; | Loan_Status &lt;chr&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| LP001002 | Male   | No  | 0  | Graduate     | No  |  5849 |     0 |  NA | 360 |  1 | Urban     | Y |\n| LP001003 | Male   | Yes | 1  | Graduate     | No  |  4583 |  1508 | 128 | 360 |  1 | Rural     | N |\n| LP001005 | Male   | Yes | 0  | Graduate     | Yes |  3000 |     0 |  66 | 360 |  1 | Urban     | Y |\n| LP001006 | Male   | Yes | 0  | Not Graduate | No  |  2583 |  2358 | 120 | 360 |  1 | Urban     | Y |\n| LP001008 | Male   | No  | 0  | Graduate     | No  |  6000 |     0 | 141 | 360 |  1 | Urban     | Y |\n| LP001011 | Male   | Yes | 2  | Graduate     | Yes |  5417 |  4196 | 267 | 360 |  1 | Urban     | Y |\n| LP001013 | Male   | Yes | 0  | Not Graduate | No  |  2333 |  1516 |  95 | 360 |  1 | Urban     | Y |\n| LP001014 | Male   | Yes | 3+ | Graduate     | No  |  3036 |  2504 | 158 | 360 |  0 | Semiurban | N |\n| LP001018 | Male   | Yes | 2  | Graduate     | No  |  4006 |  1526 | 168 | 360 |  1 | Urban     | Y |\n| LP001020 | Male   | Yes | 1  | Graduate     | No  | 12841 | 10968 | 349 | 360 |  1 | Semiurban | N |\n| LP001024 | Male   | Yes | 2  | Graduate     | No  |  3200 |   700 |  70 | 360 |  1 | Urban     | Y |\n| LP001027 | Male   | Yes | 2  | Graduate     | <!----> |  2500 |  1840 | 109 | 360 |  1 | Urban     | Y |\n| LP001028 | Male   | Yes | 2  | Graduate     | No  |  3073 |  8106 | 200 | 360 |  1 | Urban     | Y |\n| LP001029 | Male   | No  | 0  | Graduate     | No  |  1853 |  2840 | 114 | 360 |  1 | Rural     | N |\n| LP001030 | Male   | Yes | 2  | Graduate     | No  |  1299 |  1086 |  17 | 120 |  1 | Urban     | Y |\n| LP001032 | Male   | No  | 0  | Graduate     | No  |  4950 |     0 | 125 | 360 |  1 | Urban     | Y |\n| LP001034 | Male   | No  | 1  | Not Graduate | No  |  3596 |     0 | 100 | 240 | NA | Urban     | Y |\n| LP001036 | Female | No  | 0  | Graduate     | No  |  3510 |     0 |  76 | 360 |  0 | Urban     | N |\n| LP001038 | Male   | Yes | 0  | Not Graduate | No  |  4887 |     0 | 133 | 360 |  1 | Rural     | N |\n| LP001041 | Male   | Yes | 0  | Graduate     | <!----> |  2600 |  3500 | 115 |  NA |  1 | Urban     | Y |\n| LP001043 | Male   | Yes | 0  | Not Graduate | No  |  7660 |     0 | 104 | 360 |  0 | Urban     | N |\n| LP001046 | Male   | Yes | 1  | Graduate     | No  |  5955 |  5625 | 315 | 360 |  1 | Urban     | Y |\n| LP001047 | Male   | Yes | 0  | Not Graduate | No  |  2600 |  1911 | 116 | 360 |  0 | Semiurban | N |\n| LP001050 | <!----> | Yes | 2  | Not Graduate | No  |  3365 |  1917 | 112 | 360 |  0 | Rural     | N |\n| LP001052 | Male   | Yes | 1  | Graduate     | <!----> |  3717 |  2925 | 151 | 360 | NA | Semiurban | N |\n| LP001066 | Male   | Yes | 0  | Graduate     | Yes |  9560 |     0 | 191 | 360 |  1 | Semiurban | Y |\n| LP001068 | Male   | Yes | 0  | Graduate     | No  |  2799 |  2253 | 122 | 360 |  1 | Semiurban | Y |\n| LP001073 | Male   | Yes | 2  | Not Graduate | No  |  4226 |  1040 | 110 | 360 |  1 | Urban     | Y |\n| LP001086 | Male   | No  | 0  | Not Graduate | No  |  1442 |     0 |  35 | 360 |  1 | Urban     | N |\n| LP001087 | Female | No  | 2  | Graduate     | <!----> |  3750 |  2083 | 120 | 360 |  1 | Semiurban | Y |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| LP002911 | Male   | Yes | 1  | Graduate     | No  |  2787 |  1917 | 146 | 360 |  0 | Rural     | N |\n| LP002912 | Male   | Yes | 1  | Graduate     | No  |  4283 |  3000 | 172 |  84 |  1 | Rural     | N |\n| LP002916 | Male   | Yes | 0  | Graduate     | No  |  2297 |  1522 | 104 | 360 |  1 | Urban     | Y |\n| LP002917 | Female | No  | 0  | Not Graduate | No  |  2165 |     0 |  70 | 360 |  1 | Semiurban | Y |\n| LP002925 | <!----> | No  | 0  | Graduate     | No  |  4750 |     0 |  94 | 360 |  1 | Semiurban | Y |\n| LP002926 | Male   | Yes | 2  | Graduate     | Yes |  2726 |     0 | 106 | 360 |  0 | Semiurban | N |\n| LP002928 | Male   | Yes | 0  | Graduate     | No  |  3000 |  3416 |  56 | 180 |  1 | Semiurban | Y |\n| LP002931 | Male   | Yes | 2  | Graduate     | Yes |  6000 |     0 | 205 | 240 |  1 | Semiurban | N |\n| LP002933 | <!----> | No  | 3+ | Graduate     | Yes |  9357 |     0 | 292 | 360 |  1 | Semiurban | Y |\n| LP002936 | Male   | Yes | 0  | Graduate     | No  |  3859 |  3300 | 142 | 180 |  1 | Rural     | Y |\n| LP002938 | Male   | Yes | 0  | Graduate     | Yes | 16120 |     0 | 260 | 360 |  1 | Urban     | Y |\n| LP002940 | Male   | No  | 0  | Not Graduate | No  |  3833 |     0 | 110 | 360 |  1 | Rural     | Y |\n| LP002941 | Male   | Yes | 2  | Not Graduate | Yes |  6383 |  1000 | 187 | 360 |  1 | Rural     | N |\n| LP002943 | Male   | No  | <!----> | Graduate     | No  |  2987 |     0 |  88 | 360 |  0 | Semiurban | N |\n| LP002945 | Male   | Yes | 0  | Graduate     | Yes |  9963 |     0 | 180 | 360 |  1 | Rural     | Y |\n| LP002948 | Male   | Yes | 2  | Graduate     | No  |  5780 |     0 | 192 | 360 |  1 | Urban     | Y |\n| LP002949 | Female | No  | 3+ | Graduate     | <!----> |   416 | 41667 | 350 | 180 | NA | Urban     | N |\n| LP002950 | Male   | Yes | 0  | Not Graduate | <!----> |  2894 |  2792 | 155 | 360 |  1 | Rural     | Y |\n| LP002953 | Male   | Yes | 3+ | Graduate     | No  |  5703 |     0 | 128 | 360 |  1 | Urban     | Y |\n| LP002958 | Male   | No  | 0  | Graduate     | No  |  3676 |  4301 | 172 | 360 |  1 | Rural     | Y |\n| LP002959 | Female | Yes | 1  | Graduate     | No  | 12000 |     0 | 496 | 360 |  1 | Semiurban | Y |\n| LP002960 | Male   | Yes | 0  | Not Graduate | No  |  2400 |  3800 |  NA | 180 |  1 | Urban     | N |\n| LP002961 | Male   | Yes | 1  | Graduate     | No  |  3400 |  2500 | 173 | 360 |  1 | Semiurban | Y |\n| LP002964 | Male   | Yes | 2  | Not Graduate | No  |  3987 |  1411 | 157 | 360 |  1 | Rural     | Y |\n| LP002974 | Male   | Yes | 0  | Graduate     | No  |  3232 |  1950 | 108 | 360 |  1 | Rural     | Y |\n| LP002978 | Female | No  | 0  | Graduate     | No  |  2900 |     0 |  71 | 360 |  1 | Rural     | Y |\n| LP002979 | Male   | Yes | 3+ | Graduate     | No  |  4106 |     0 |  40 | 180 |  1 | Rural     | Y |\n| LP002983 | Male   | Yes | 1  | Graduate     | No  |  8072 |   240 | 253 | 360 |  1 | Urban     | Y |\n| LP002984 | Male   | Yes | 2  | Graduate     | No  |  7583 |     0 | 187 | 360 |  1 | Urban     | Y |\n| LP002990 | Female | No  | 0  | Graduate     | Yes |  4583 |     0 | 133 | 360 |  0 | Semiurban | N |\n\n",
            "text/latex": "A data.frame: 614 × 13\n\\begin{tabular}{lllllllllllll}\n Loan\\_ID & Gender & Married & Dependents & Education & Self\\_Employed & ApplicantIncome & CoapplicantIncome & LoanAmount & Loan\\_Amount\\_Term & Credit\\_History & Property\\_Area & Loan\\_Status\\\\\n <chr> & <chr> & <chr> & <chr> & <chr> & <chr> & <int> & <dbl> & <int> & <int> & <int> & <chr> & <chr>\\\\\n\\hline\n\t LP001002 & Male   & No  & 0  & Graduate     & No  &  5849 &     0 &  NA & 360 &  1 & Urban     & Y\\\\\n\t LP001003 & Male   & Yes & 1  & Graduate     & No  &  4583 &  1508 & 128 & 360 &  1 & Rural     & N\\\\\n\t LP001005 & Male   & Yes & 0  & Graduate     & Yes &  3000 &     0 &  66 & 360 &  1 & Urban     & Y\\\\\n\t LP001006 & Male   & Yes & 0  & Not Graduate & No  &  2583 &  2358 & 120 & 360 &  1 & Urban     & Y\\\\\n\t LP001008 & Male   & No  & 0  & Graduate     & No  &  6000 &     0 & 141 & 360 &  1 & Urban     & Y\\\\\n\t LP001011 & Male   & Yes & 2  & Graduate     & Yes &  5417 &  4196 & 267 & 360 &  1 & Urban     & Y\\\\\n\t LP001013 & Male   & Yes & 0  & Not Graduate & No  &  2333 &  1516 &  95 & 360 &  1 & Urban     & Y\\\\\n\t LP001014 & Male   & Yes & 3+ & Graduate     & No  &  3036 &  2504 & 158 & 360 &  0 & Semiurban & N\\\\\n\t LP001018 & Male   & Yes & 2  & Graduate     & No  &  4006 &  1526 & 168 & 360 &  1 & Urban     & Y\\\\\n\t LP001020 & Male   & Yes & 1  & Graduate     & No  & 12841 & 10968 & 349 & 360 &  1 & Semiurban & N\\\\\n\t LP001024 & Male   & Yes & 2  & Graduate     & No  &  3200 &   700 &  70 & 360 &  1 & Urban     & Y\\\\\n\t LP001027 & Male   & Yes & 2  & Graduate     &     &  2500 &  1840 & 109 & 360 &  1 & Urban     & Y\\\\\n\t LP001028 & Male   & Yes & 2  & Graduate     & No  &  3073 &  8106 & 200 & 360 &  1 & Urban     & Y\\\\\n\t LP001029 & Male   & No  & 0  & Graduate     & No  &  1853 &  2840 & 114 & 360 &  1 & Rural     & N\\\\\n\t LP001030 & Male   & Yes & 2  & Graduate     & No  &  1299 &  1086 &  17 & 120 &  1 & Urban     & Y\\\\\n\t LP001032 & Male   & No  & 0  & Graduate     & No  &  4950 &     0 & 125 & 360 &  1 & Urban     & Y\\\\\n\t LP001034 & Male   & No  & 1  & Not Graduate & No  &  3596 &     0 & 100 & 240 & NA & Urban     & Y\\\\\n\t LP001036 & Female & No  & 0  & Graduate     & No  &  3510 &     0 &  76 & 360 &  0 & Urban     & N\\\\\n\t LP001038 & Male   & Yes & 0  & Not Graduate & No  &  4887 &     0 & 133 & 360 &  1 & Rural     & N\\\\\n\t LP001041 & Male   & Yes & 0  & Graduate     &     &  2600 &  3500 & 115 &  NA &  1 & Urban     & Y\\\\\n\t LP001043 & Male   & Yes & 0  & Not Graduate & No  &  7660 &     0 & 104 & 360 &  0 & Urban     & N\\\\\n\t LP001046 & Male   & Yes & 1  & Graduate     & No  &  5955 &  5625 & 315 & 360 &  1 & Urban     & Y\\\\\n\t LP001047 & Male   & Yes & 0  & Not Graduate & No  &  2600 &  1911 & 116 & 360 &  0 & Semiurban & N\\\\\n\t LP001050 &        & Yes & 2  & Not Graduate & No  &  3365 &  1917 & 112 & 360 &  0 & Rural     & N\\\\\n\t LP001052 & Male   & Yes & 1  & Graduate     &     &  3717 &  2925 & 151 & 360 & NA & Semiurban & N\\\\\n\t LP001066 & Male   & Yes & 0  & Graduate     & Yes &  9560 &     0 & 191 & 360 &  1 & Semiurban & Y\\\\\n\t LP001068 & Male   & Yes & 0  & Graduate     & No  &  2799 &  2253 & 122 & 360 &  1 & Semiurban & Y\\\\\n\t LP001073 & Male   & Yes & 2  & Not Graduate & No  &  4226 &  1040 & 110 & 360 &  1 & Urban     & Y\\\\\n\t LP001086 & Male   & No  & 0  & Not Graduate & No  &  1442 &     0 &  35 & 360 &  1 & Urban     & N\\\\\n\t LP001087 & Female & No  & 2  & Graduate     &     &  3750 &  2083 & 120 & 360 &  1 & Semiurban & Y\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t LP002911 & Male   & Yes & 1  & Graduate     & No  &  2787 &  1917 & 146 & 360 &  0 & Rural     & N\\\\\n\t LP002912 & Male   & Yes & 1  & Graduate     & No  &  4283 &  3000 & 172 &  84 &  1 & Rural     & N\\\\\n\t LP002916 & Male   & Yes & 0  & Graduate     & No  &  2297 &  1522 & 104 & 360 &  1 & Urban     & Y\\\\\n\t LP002917 & Female & No  & 0  & Not Graduate & No  &  2165 &     0 &  70 & 360 &  1 & Semiurban & Y\\\\\n\t LP002925 &        & No  & 0  & Graduate     & No  &  4750 &     0 &  94 & 360 &  1 & Semiurban & Y\\\\\n\t LP002926 & Male   & Yes & 2  & Graduate     & Yes &  2726 &     0 & 106 & 360 &  0 & Semiurban & N\\\\\n\t LP002928 & Male   & Yes & 0  & Graduate     & No  &  3000 &  3416 &  56 & 180 &  1 & Semiurban & Y\\\\\n\t LP002931 & Male   & Yes & 2  & Graduate     & Yes &  6000 &     0 & 205 & 240 &  1 & Semiurban & N\\\\\n\t LP002933 &        & No  & 3+ & Graduate     & Yes &  9357 &     0 & 292 & 360 &  1 & Semiurban & Y\\\\\n\t LP002936 & Male   & Yes & 0  & Graduate     & No  &  3859 &  3300 & 142 & 180 &  1 & Rural     & Y\\\\\n\t LP002938 & Male   & Yes & 0  & Graduate     & Yes & 16120 &     0 & 260 & 360 &  1 & Urban     & Y\\\\\n\t LP002940 & Male   & No  & 0  & Not Graduate & No  &  3833 &     0 & 110 & 360 &  1 & Rural     & Y\\\\\n\t LP002941 & Male   & Yes & 2  & Not Graduate & Yes &  6383 &  1000 & 187 & 360 &  1 & Rural     & N\\\\\n\t LP002943 & Male   & No  &    & Graduate     & No  &  2987 &     0 &  88 & 360 &  0 & Semiurban & N\\\\\n\t LP002945 & Male   & Yes & 0  & Graduate     & Yes &  9963 &     0 & 180 & 360 &  1 & Rural     & Y\\\\\n\t LP002948 & Male   & Yes & 2  & Graduate     & No  &  5780 &     0 & 192 & 360 &  1 & Urban     & Y\\\\\n\t LP002949 & Female & No  & 3+ & Graduate     &     &   416 & 41667 & 350 & 180 & NA & Urban     & N\\\\\n\t LP002950 & Male   & Yes & 0  & Not Graduate &     &  2894 &  2792 & 155 & 360 &  1 & Rural     & Y\\\\\n\t LP002953 & Male   & Yes & 3+ & Graduate     & No  &  5703 &     0 & 128 & 360 &  1 & Urban     & Y\\\\\n\t LP002958 & Male   & No  & 0  & Graduate     & No  &  3676 &  4301 & 172 & 360 &  1 & Rural     & Y\\\\\n\t LP002959 & Female & Yes & 1  & Graduate     & No  & 12000 &     0 & 496 & 360 &  1 & Semiurban & Y\\\\\n\t LP002960 & Male   & Yes & 0  & Not Graduate & No  &  2400 &  3800 &  NA & 180 &  1 & Urban     & N\\\\\n\t LP002961 & Male   & Yes & 1  & Graduate     & No  &  3400 &  2500 & 173 & 360 &  1 & Semiurban & Y\\\\\n\t LP002964 & Male   & Yes & 2  & Not Graduate & No  &  3987 &  1411 & 157 & 360 &  1 & Rural     & Y\\\\\n\t LP002974 & Male   & Yes & 0  & Graduate     & No  &  3232 &  1950 & 108 & 360 &  1 & Rural     & Y\\\\\n\t LP002978 & Female & No  & 0  & Graduate     & No  &  2900 &     0 &  71 & 360 &  1 & Rural     & Y\\\\\n\t LP002979 & Male   & Yes & 3+ & Graduate     & No  &  4106 &     0 &  40 & 180 &  1 & Rural     & Y\\\\\n\t LP002983 & Male   & Yes & 1  & Graduate     & No  &  8072 &   240 & 253 & 360 &  1 & Urban     & Y\\\\\n\t LP002984 & Male   & Yes & 2  & Graduate     & No  &  7583 &     0 & 187 & 360 &  1 & Urban     & Y\\\\\n\t LP002990 & Female & No  & 0  & Graduate     & Yes &  4583 &     0 & 133 & 360 &  0 & Semiurban & N\\\\\n\\end{tabular}\n",
            "text/plain": [
              "    Loan_ID  Gender Married Dependents Education    Self_Employed\n",
              "1   LP001002 Male   No      0          Graduate     No           \n",
              "2   LP001003 Male   Yes     1          Graduate     No           \n",
              "3   LP001005 Male   Yes     0          Graduate     Yes          \n",
              "4   LP001006 Male   Yes     0          Not Graduate No           \n",
              "5   LP001008 Male   No      0          Graduate     No           \n",
              "6   LP001011 Male   Yes     2          Graduate     Yes          \n",
              "7   LP001013 Male   Yes     0          Not Graduate No           \n",
              "8   LP001014 Male   Yes     3+         Graduate     No           \n",
              "9   LP001018 Male   Yes     2          Graduate     No           \n",
              "10  LP001020 Male   Yes     1          Graduate     No           \n",
              "11  LP001024 Male   Yes     2          Graduate     No           \n",
              "12  LP001027 Male   Yes     2          Graduate                  \n",
              "13  LP001028 Male   Yes     2          Graduate     No           \n",
              "14  LP001029 Male   No      0          Graduate     No           \n",
              "15  LP001030 Male   Yes     2          Graduate     No           \n",
              "16  LP001032 Male   No      0          Graduate     No           \n",
              "17  LP001034 Male   No      1          Not Graduate No           \n",
              "18  LP001036 Female No      0          Graduate     No           \n",
              "19  LP001038 Male   Yes     0          Not Graduate No           \n",
              "20  LP001041 Male   Yes     0          Graduate                  \n",
              "21  LP001043 Male   Yes     0          Not Graduate No           \n",
              "22  LP001046 Male   Yes     1          Graduate     No           \n",
              "23  LP001047 Male   Yes     0          Not Graduate No           \n",
              "24  LP001050        Yes     2          Not Graduate No           \n",
              "25  LP001052 Male   Yes     1          Graduate                  \n",
              "26  LP001066 Male   Yes     0          Graduate     Yes          \n",
              "27  LP001068 Male   Yes     0          Graduate     No           \n",
              "28  LP001073 Male   Yes     2          Not Graduate No           \n",
              "29  LP001086 Male   No      0          Not Graduate No           \n",
              "30  LP001087 Female No      2          Graduate                  \n",
              "⋮   ⋮        ⋮      ⋮       ⋮          ⋮            ⋮            \n",
              "585 LP002911 Male   Yes     1          Graduate     No           \n",
              "586 LP002912 Male   Yes     1          Graduate     No           \n",
              "587 LP002916 Male   Yes     0          Graduate     No           \n",
              "588 LP002917 Female No      0          Not Graduate No           \n",
              "589 LP002925        No      0          Graduate     No           \n",
              "590 LP002926 Male   Yes     2          Graduate     Yes          \n",
              "591 LP002928 Male   Yes     0          Graduate     No           \n",
              "592 LP002931 Male   Yes     2          Graduate     Yes          \n",
              "593 LP002933        No      3+         Graduate     Yes          \n",
              "594 LP002936 Male   Yes     0          Graduate     No           \n",
              "595 LP002938 Male   Yes     0          Graduate     Yes          \n",
              "596 LP002940 Male   No      0          Not Graduate No           \n",
              "597 LP002941 Male   Yes     2          Not Graduate Yes          \n",
              "598 LP002943 Male   No                 Graduate     No           \n",
              "599 LP002945 Male   Yes     0          Graduate     Yes          \n",
              "600 LP002948 Male   Yes     2          Graduate     No           \n",
              "601 LP002949 Female No      3+         Graduate                  \n",
              "602 LP002950 Male   Yes     0          Not Graduate              \n",
              "603 LP002953 Male   Yes     3+         Graduate     No           \n",
              "604 LP002958 Male   No      0          Graduate     No           \n",
              "605 LP002959 Female Yes     1          Graduate     No           \n",
              "606 LP002960 Male   Yes     0          Not Graduate No           \n",
              "607 LP002961 Male   Yes     1          Graduate     No           \n",
              "608 LP002964 Male   Yes     2          Not Graduate No           \n",
              "609 LP002974 Male   Yes     0          Graduate     No           \n",
              "610 LP002978 Female No      0          Graduate     No           \n",
              "611 LP002979 Male   Yes     3+         Graduate     No           \n",
              "612 LP002983 Male   Yes     1          Graduate     No           \n",
              "613 LP002984 Male   Yes     2          Graduate     No           \n",
              "614 LP002990 Female No      0          Graduate     Yes          \n",
              "    ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term\n",
              "1    5849               0              NA        360             \n",
              "2    4583            1508             128        360             \n",
              "3    3000               0              66        360             \n",
              "4    2583            2358             120        360             \n",
              "5    6000               0             141        360             \n",
              "6    5417            4196             267        360             \n",
              "7    2333            1516              95        360             \n",
              "8    3036            2504             158        360             \n",
              "9    4006            1526             168        360             \n",
              "10  12841           10968             349        360             \n",
              "11   3200             700              70        360             \n",
              "12   2500            1840             109        360             \n",
              "13   3073            8106             200        360             \n",
              "14   1853            2840             114        360             \n",
              "15   1299            1086              17        120             \n",
              "16   4950               0             125        360             \n",
              "17   3596               0             100        240             \n",
              "18   3510               0              76        360             \n",
              "19   4887               0             133        360             \n",
              "20   2600            3500             115         NA             \n",
              "21   7660               0             104        360             \n",
              "22   5955            5625             315        360             \n",
              "23   2600            1911             116        360             \n",
              "24   3365            1917             112        360             \n",
              "25   3717            2925             151        360             \n",
              "26   9560               0             191        360             \n",
              "27   2799            2253             122        360             \n",
              "28   4226            1040             110        360             \n",
              "29   1442               0              35        360             \n",
              "30   3750            2083             120        360             \n",
              "⋮   ⋮               ⋮                 ⋮          ⋮               \n",
              "585  2787            1917             146        360             \n",
              "586  4283            3000             172         84             \n",
              "587  2297            1522             104        360             \n",
              "588  2165               0              70        360             \n",
              "589  4750               0              94        360             \n",
              "590  2726               0             106        360             \n",
              "591  3000            3416              56        180             \n",
              "592  6000               0             205        240             \n",
              "593  9357               0             292        360             \n",
              "594  3859            3300             142        180             \n",
              "595 16120               0             260        360             \n",
              "596  3833               0             110        360             \n",
              "597  6383            1000             187        360             \n",
              "598  2987               0              88        360             \n",
              "599  9963               0             180        360             \n",
              "600  5780               0             192        360             \n",
              "601   416           41667             350        180             \n",
              "602  2894            2792             155        360             \n",
              "603  5703               0             128        360             \n",
              "604  3676            4301             172        360             \n",
              "605 12000               0             496        360             \n",
              "606  2400            3800              NA        180             \n",
              "607  3400            2500             173        360             \n",
              "608  3987            1411             157        360             \n",
              "609  3232            1950             108        360             \n",
              "610  2900               0              71        360             \n",
              "611  4106               0              40        180             \n",
              "612  8072             240             253        360             \n",
              "613  7583               0             187        360             \n",
              "614  4583               0             133        360             \n",
              "    Credit_History Property_Area Loan_Status\n",
              "1    1             Urban         Y          \n",
              "2    1             Rural         N          \n",
              "3    1             Urban         Y          \n",
              "4    1             Urban         Y          \n",
              "5    1             Urban         Y          \n",
              "6    1             Urban         Y          \n",
              "7    1             Urban         Y          \n",
              "8    0             Semiurban     N          \n",
              "9    1             Urban         Y          \n",
              "10   1             Semiurban     N          \n",
              "11   1             Urban         Y          \n",
              "12   1             Urban         Y          \n",
              "13   1             Urban         Y          \n",
              "14   1             Rural         N          \n",
              "15   1             Urban         Y          \n",
              "16   1             Urban         Y          \n",
              "17  NA             Urban         Y          \n",
              "18   0             Urban         N          \n",
              "19   1             Rural         N          \n",
              "20   1             Urban         Y          \n",
              "21   0             Urban         N          \n",
              "22   1             Urban         Y          \n",
              "23   0             Semiurban     N          \n",
              "24   0             Rural         N          \n",
              "25  NA             Semiurban     N          \n",
              "26   1             Semiurban     Y          \n",
              "27   1             Semiurban     Y          \n",
              "28   1             Urban         Y          \n",
              "29   1             Urban         N          \n",
              "30   1             Semiurban     Y          \n",
              "⋮   ⋮              ⋮             ⋮          \n",
              "585  0             Rural         N          \n",
              "586  1             Rural         N          \n",
              "587  1             Urban         Y          \n",
              "588  1             Semiurban     Y          \n",
              "589  1             Semiurban     Y          \n",
              "590  0             Semiurban     N          \n",
              "591  1             Semiurban     Y          \n",
              "592  1             Semiurban     N          \n",
              "593  1             Semiurban     Y          \n",
              "594  1             Rural         Y          \n",
              "595  1             Urban         Y          \n",
              "596  1             Rural         Y          \n",
              "597  1             Rural         N          \n",
              "598  0             Semiurban     N          \n",
              "599  1             Rural         Y          \n",
              "600  1             Urban         Y          \n",
              "601 NA             Urban         N          \n",
              "602  1             Rural         Y          \n",
              "603  1             Urban         Y          \n",
              "604  1             Rural         Y          \n",
              "605  1             Semiurban     Y          \n",
              "606  1             Urban         N          \n",
              "607  1             Semiurban     Y          \n",
              "608  1             Rural         Y          \n",
              "609  1             Rural         Y          \n",
              "610  1             Rural         Y          \n",
              "611  1             Rural         Y          \n",
              "612  1             Urban         Y          \n",
              "613  1             Urban         Y          \n",
              "614  0             Semiurban     N          "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "content"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eDE4LbGMk-g8"
      },
      "outputs": [],
      "source": [
        "data = as.vector(content)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "fRoUdcsvsVkl",
        "outputId": "c574ae44-cf3b-4c9a-d6c0-b34ac844a58c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "       Female   Male \n",
              "    13    112    489 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Gender)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "7lGka3V0mPV7",
        "outputId": "34d3327c-756d-4bf9-a029-da7355cfa12c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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WNGVlbWhAkTfvOtsFatWmfOnBk1atShQ4cCAwO/++47FxeXEydOdOvW7c8zbG1t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\n"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "male <- sum(data$Gender == \"Male\", na.rm=TRUE)\n",
        "female <- sum(data$Gender == \"Female\")\n",
        "pie(c(male, female), c(\"Male\", \"Female\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "ywC44VJ-tX4O",
        "outputId": "63d13304-aa06-4393-a229-f285889acf30"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "     No Yes \n",
              "  3 213 398 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Married)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "sVdwQslUlIsI",
        "outputId": "b099e4e3-82ff-4dbd-adec-de204080b13e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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Nq0afE1XG7FA5SOEzvgba1bt+7999/f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\nIOwAAAAEQdgBAAAI4v8A01HUSufrfYYAAAAASUVORK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "married <- sum(data$Married == \"Yes\", na.rm=TRUE)\n",
        "not_married <- sum(data$Married == \"No\", na.rm=TRUE)\n",
        "pie(c(married, not_married), c(\"married\", \"not_married\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "5zG5Wb7al74f",
        "outputId": "cef0a552-29c8-47ed-f53d-32154811024b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "      0   1   2  3+ \n",
              " 15 345 102 101  51 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Dependents)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "mBI8h5-Nu8Al",
        "outputId": "d55724ff-76d9-4de4-d3b1-bc00c82a74a4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "    Graduate Not Graduate \n",
              "         480          134 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Education)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "11dGIwAZvHWY",
        "outputId": "f29192de-1da7-4f28-d4de-f8277eb140e3"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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q7BgGzxpQlINWrUiIyM9PT0bNKkyaNXwv2z8PDwrVu37tixg1UH6KEqVars3Llz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\nTQAAAABJRU5ErkJggg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "grd <- sum(data$Education == \"Graduate\", na.rm=TRUE)\n",
        "ngrd <- sum(data$Education == \"Not Graduate\", na.rm=TRUE)\n",
        "pie(c(grd, ngrd), c(\"Graduate\", \"Not Graduate\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "JhlZL58nvd5l",
        "outputId": "1f8bbea3-7288-4213-edb6-e1a8d6c5dde8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "     No Yes \n",
              " 32 500  82 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Self_Employed)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "LwSLJzQQwBgg",
        "outputId": "9ade6cd7-16f2-4205-c6d1-431ecfda3906"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Applicant Income”"
            ],
            "image/png": 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ETqgKQMSKQOSMqAROqApAxIpA5IyoBE\n6oCkDEikDkjKgETqgKQMSKQOSMqAROqApAxIpA5IyoBE6oCkDEikDkjKgETqgKQMSKQOSMqA\nROqApAxIpA5IyoBE6oCkDEikDkjKgETqgKQMSKQOSMqAROqApAxIpA5IymoDqWbZ/Hnznvtc\nsRSQyj8gKSsc0qqp7cSu26XrgpYDUgwtPfcZnasDkrKCIS3vKb0mzJg164LxnaTvqoAFgRRD\nf5Ijda4OSMoKhjSx+gF3assNVVMCFgRSDF0LpIgrGFKHE1PT47oGLAikGAJS1BUMqfry1PTF\nDQMWBFIMASnqCobUfWxq+ogeAQsCKYaAFHUFQ5pSNXuDM7X2IpkWsCCQYghIUVcwpNX9pflB\nEyaffvzwprLvmoAFgRRDQIq6wn+OtPHqfvWtHyNVD567JWg5IMUQkKKuVkOE1n+0aNFSFRMg\nxRCQoo4hQhUZkKKOIUIVGZCijiFCFRmQoo4hQhUZkKKOIUIVGZCijiFCFRmQoo4hQhUZkKKO\nIUIVGZCijiFCFRmQoo4hQhUZkKKOIUIVGZCijiFCFRmQoo4hQhUZkKKOIUIVGZCijiFCFRmQ\noq44Q4S2vjA/2TVAij4gRV1xhgh90kQ8ASnygBR1DBGqyIAUdQwRqsiAFHUMEarIgBR1DBGq\nyIAUdQwRqsiAFHUMEarIgBR1DBGqyIAUdQwRqsiAFHUMEarIgBR1fIpQRQakqONThCoyIEUd\nQ4QqMiBFHUOEKjIgRR1DhCoyIEUdQ4QqMiBFHUOEKjIgRV2tIJlteecVxRghIMUQkKKucEiv\nnG7+89f25pO7vi8GLgek6ANS1BUM6fmG29QYD8o2R00aWa/RwoAFgRRDQIq6giENb7fUMHp2\nX25OvtZkTMCCQIohIEVdwZBa/M4wvpdr7enfbBuwIJBiCEhRVzCkZhcaxoaqh+3pSxoHLAik\nGAJS1BUMaWivnwxjyO+syQ19+wYsCKQYAlLUFQzpb9L/mc2LOt7x06bXDpQbAxYEUgwBKeoK\nf/v7pmbSpE93qV9fqn5bE7AckGIISFFXix/IfjN7VPfmjdoMOHNR4GJAiiEgRV1tRzaoA1IM\nASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSR\nASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSR\nASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSR\nASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgFSRASnqgJRPL7c5Lu5d\nCBeQog5I+XS/DI57F8IFpKgDUj4BiXIEpHwCEuUISPkEJMoRkPIJSJQjIOUTkChHQMonIFGO\ngJRPQKIcASmfgEQ5AlI+AYlyBKR8AhLlCEj5BCTKUQakHxev1r0FIMUQkKIuDdILA0SeMowx\nz+rcApBiCEhR54X0esPmo0xIKzs0XKhxC0CKISBFnRfS6G5ffG09Iq3odoTGLQAphoAUdV5I\nbWYaNiTjilYatwCkGAJS1HkhNbjLhXRbtcYtACmGgBR1XkhdznchndBd4xaAFENAijovpJNb\nLbIgrTpPJmncApBiCEhR54X0ddcG/aVfv0bS7RuNWwBSDAEp6tJ+jrTitDYi0va0FTq3AKQY\nAlLUZYxsqPlmqc5HIysgxRCQoo6xdvkEJMpRGqQtrzx0r5PGLQAphoAUdV5IC3tIIo1bAFIM\nASnqvGQGbztlzk1OGrcApBgCUtR5ITV7pBhbAFIMASnqvJDaLyrGFoAUQ0CKOi+kM6YXYwtA\niiEgRZ0X0k9jjrprwUt2GrcApBgCUtSl/WJfV961Cw5IlCMvmYGNx54/w0njFoAUQ0CKOi+k\nxn8txhaAFENAirq035B9sxhbAFIMASnqvJBOuqwYWwBSDAEp6ryQVo+YNP/9pXYatwCkGAJS\n1HkhifCuXXBAohx5yYw/fmIijVsAUgwBKer4faR8AhLlKAPSt/+c/5rmT/8GUgwBKerSIL00\nyHp9VHXQuzq3AKQYAlLUpQ0RalR/2MTJJwyqarFE4xaAFENAijovpDFdPrBP32g3XuMWgBRD\nQIq6tJENV7gTF7fXuAUgxRCQoi7ts7/vdCdu57O//QMS5cgLqVPiF/v+t7PGLQAphoAUdV5I\nE7Z5tMY8qZnX7CSNWwBSDAEp6ryQPm0nHQ4cc2AH6fiFxi0AKYaAFHVpP0f6/PiWItL6pOU6\ntwCkGAJS1GV+9vfypV9r3gKQYghIUZcOafG31j9vaN0CkGIISFHnhbTpRHnePLlOJmzRuAUg\nxRCQos4L6SoZ/Yl5smScXKNxC0CKISBFnRfS7oe5E4fuqHELQIohIEWdF1KTq9yJWYxs8A9I\nlKO0z/4+w52YxFg7/4BEOfJCOrHpk9bJprkNjtO4BSDFEJCizgtpeUfpNvKwYa2l42catwCk\nGAJS1KX9HOmbU62/ar7db77UuQUgxRCQoi5zZMNXH6/VvAUgxRCQoq42nyJUs2z+vHnPfa5Y\nCkgxBKSo80KqeeCwfrs6hbjmqqntnA+T7HbpuqDlgBRDQIo6L6TZIk1bOqmvuLyn9JowY9as\nC8Z3kr6rAhYEUgwBKeq8kLqMWhb+ihOrH3CnttxQNSVgQSDFEJCizgup+rU8rtjhxNT0uK4B\nCwIphoAUdWmPSK/mccXqy1PTFzcMWBBIMQSkqPNCOmdSHlfsPjY1fUSPgAWBFENAijovpDWj\njn469N9HmlI1e4MztfYimRawIJBiCEhRV/DfR1rdX5ofNGHy6ccPbyr7rglYEEgxBKSoK/zv\nI228ul99y1z14LmBv1ALpBgCUtTV6u8jrf9o0aKlKiZAiiEgRR1DhPIJSJSjwiExRKiEA1LU\nJSGNSkt9RYYIlXJAirokJElLfUWGCJVyQIq6JJkP0lJfkSFCpRyQoq7g10gMESrlgBR1BUNi\niFApB6SoKxgSQ4RKOSBFXcGQGCJUygEp6gr/ORJDhEo4IEUdQ4TyCUiUI4YI5ROQKEdeSC/9\n1514/aEQ12SIUAkHpKhL+32kR9yJK1upr8gQoVIOSFGXhLT0qafkoqfs5g1sqr4iQ4RKOSBF\nXRLSTO9Qu1+qr8gQoVIOSFGXemq3/DE5bqbdrIc2qa8YOEToP51aJWsuG/TsavRtHbBb+ieh\nA4ly5H2NNDqfj+MKHCK0+ZEHkl1Wvo9Im0SWp80AEuWIIUIBAckNSMoK/hD9ujBECEhuQFJW\n8Ifo14UhQkByA5Kygj9E36rShwgByQ1Iygr+EH2jDgwRUkF6cfaKSPcnfECKuoI/RL8uDBFS\nQRoht0W5O3kEpKgr+EP068IQIRWkg+TWSPcnfECKuoI/RL8uDBECkhuQlBX8Ifp1YYgQkNyA\npKzgD9GvC58iBCQ3ICnzfexZ+7X6inXhU4SA5AYkZb6Q7u6oviJDhIBEqdIgfXvd1Clmp3Ru\nrr4iQ4SARKm8kD7dzn2rocElIa7JECEgUTIvpGOaX/+c3Pz0uZ2fDnnluj5ECEiUyAup27nG\nennVMN5s/XIea/hhWvBH7gMphmKAdOv4JTo3WW6ljbWba2yUF82JCw/KYw1fyN8CLwdSDMUA\n6cCSHS8VSV5IrS8zjG1uMyfuDfFrFMkfOY2XgwN/7gSkGAJS1HkhHdH5eWOfvdYYxm/ahbhi\n2D9MBqQYAlLUeQm83niAcat0/Xk/OUZ9xbPr93t6tdV7ct/q1QELAimGgBR1aY8lC+cYNdOb\nSNXh34a45r/7VZ32vcFrpJIMSFGX/aRs/aeBv16UavPvm3R6CEglGZCiLh3SYuuhaPEbYa/8\n8UEy5nMglWBAijovpE0nyvPmyXUyIXCogrfbWm8zA0ilF5CizgvpKhn9iXmyZJxcE/r6K34l\nQCq9gBR1Xki7H+ZOHLpjHmv4+9T3Ay8HUgwBKeq8kJpc5U7Mqta4BSDFEJCizgup/RnuxKT2\nGrcApBgCUtR5IZ3Y9EnrZNPcBsdp3AKQYghIUeeFtLyjdBt52LDW0vEzjVsAUgwBKerSfo70\nzaltRGS733ypcwtAiiEgRV3GyIaarz5e679gwQEphoAUdQlIX68y/0+lcQtAiiEgRV0CkozK\n8wMiQwekGAJS1CXIjJtp/p9K4xaAFENAijqdjz3+ASmGgBR1CUhfpKdxC0CKISBFXfI1Uuhf\nHc83IMUQkKIu+RopPY1bAFIMASnqeI0UEJDcgKQsA9LyNxa8vVLvFoAUQ0CKujRIc3vYL5B2\nvlfnFoAUQ0CKOi+kOdJoxPGTjhlYJXdo3AKQYghIUeeFtNOo7+3TT3bso3ELQIohIEWdF1LD\nxGfn39BI4xYqFtKb8w4AUiogJdvuVXfiL501bqFiIfWTfkBKBaRkJ57nThx2lsYtVCyk3aUv\nkFIBKdnygUc//sFn7z906IilGocJASmGgBR1XkjFGSYEpBgCUtR5uRxZlGFCQIohIEUdQ4QC\nApIbkJQxRCggILkBSRlDhAICkhuQlDFEKCAguQFJGUOEAgKSG5CUMUQoICC5AUkZQ4QCApIb\nkJQxRCggILkBSRlDhAICkhuQlDFEKCAguQFJGUOEAgKSG5CU+T/u8AGRdkByA5IyH0ibHx1d\nX+MWgBRDQIq6LEjLzusosrvGLQAphoAUdemQNt43okrq/+IFnVsAUgwBKeq8kN7/bVuR9vJX\nvVsAUgwBKeqSkNbdMUyk6XELPpIH9W4BSDEEpKhLQmopVfve9KNhLAVSMiC5AUlZEpLUm7zU\nOgVSKiC5AUlZEtLvzNdHQ276AUiegOQGJGWpNxs23jPcfJF07M1ASgYkNyApS3v7+8Op5sOS\nnKT3QxuAFENAirqMH8huuHt/kUYnvKVxC0CKISBFXfYQoSW/bcPfkHUCkhuQlPmR2XD3fhq3\nAKQYAlLU8QGRAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxI\nAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQ\nkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJ\nDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyA\npAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjK\ngBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxIAQHJDUjKgBQQkNyApAxI\nAQHJDUjKgBQQkNyApAxIAQHJDUjK6jikzY++EXApkNyApKyOQ3pRdgq4FEhuQFJWxyEtkB0C\nLgWSG5CU1QZSzbL58+Y997liKSDFEJCirnBIq6a2E7tul64LWg5IMQSkqCsY0vKe0mvCjFmz\nLhjfSfquClgQSDEEpKgrGNLE6gfcqS03VE0JWBBIMQSkqCsYUocTU9PjugYsCKQYAlLUFQyp\n+vLU9MUNAxYEUgwBKeoKhtR9bGr6iB4BCwIphoAUdQVDmlI1e4MztfYimRawIJBiCEhRVzCk\n1f2l+UETJp9+/PCmsu+agAWBFENAirrCf4608ep+9a0fI1UPnrslaDkgxRCQoq5WQ4TWf7Ro\n0VIVEyDFEJCijiFCAZcCyQ1IyhgiFHApkNyApIwhQgGXAskNSMoYIhRwKZDcgKSMIUIBlwLJ\nDUjKGCIUcCmQ3ICkjCFCAZcCyQ1IyhgiFHApkNyApIwhQgGXAskNSMoYIhRwKZDcIoG0efCg\nTbVbQ5wxRCjg0hKB9K9TXsj3KuUI6QeR1bVbQ5wxRCjg0hKBdL6cku9VgBR1DBEKuBRIbkBS\nxhChgEtLHdKq+cv9LwBS5DFEyNhw0M+2+l9a6pD+T07KcRUgRV1xhgituXBasmNLHdJKkRzP\nTUsd0sVyQo6rACnqijNE6JvRI5LtLRsK3UbxA1KogKSMIUJ1GNL9V/4Ubg+ApIwhQnUYUmd5\nNdweAEkZQ4TqNKR/htuDEod078nv127TGmKIEJDUlTikQ+XPtdu0hhgiBCR1QFLGECEgqQOS\nMoYIAUkdkJQxRAhI6oCkjCFCQFIHJGV8ihCQ1AFJGZ8iBCR1QFLGECEgqdMPaUz7JZmz6igk\nhggBKa38IO0gCzJnBUP6/bErcl5W1pAYIgSktIoMyecKycoaEkOEgJQWkAqPIUJASgak2rfq\n04ALgVTbgOR/hWTlDentQ7sPu8F5UjctaC1Aqm11GNJ3k67NfYVkZQ3p5UbStFr2twcHAamo\n1WFIL0jP3FdIVtaQRlc/UrPh6uq91xpAKnKVC+nGAQ+nZtVRSF2Ptf59ruGhW4BU5CoX0kly\nUWpWHYVU7dwFd8qZQCpyQDIqGFKXw53T6TILSMUNSEYFQzqz6jr7j3DUHC9nnQGkYlbmkBb8\n/svE5JbH33SnigVpy4LFyj0tSgVD+q6bjLAnas4UAVIxK3NIP5O59ummhd+8JL3cmcWC9Erg\nh7kXscJ/jvTtpLPcqYd3AFIxK3tIN9qnd8vPnpft3ZnFgvSiBP0mQhHTMrIhMCAp+/7TmqCL\nKwTSbXIgkGoRkJTtJ08FXQwko7aQaj4J+lgRHQGpBCDtJQ8HXQwko7aQ/p/sk3vPtQQkIKkr\ne0iPSb/ce64lINVpSGeF+3MUQFIGpDoNSZ4LsRiQQgSkug1pfojFgBQiIAFJHZCUAQlI6oCk\nDEhAUgckZUBKQfrz2PfSLy07SLPGfepMACk9IBW5NEiJQ+Htsbc4l5YdpH7ymDNRZEgPDLg3\naxkgFbnyg/QXOcS5NEpIy+fn/Aid0oM0VbL//giQilzpQXpy+n8Sk6UDaaJcnn3BI+dZ2weS\nAaRShDRKbkpMlg6kCXJJ9gVD5D4DSJ4r+AekeBrl/qaZUQaQrNciQDKABKQQAckKSMEBSRmQ\nrIAUHJCUAckKSMEBSRmQrIAUXClA+vHKxz3ngOQGJH3VDUjPSB/POSC5AUlfdQPS07KL5xyQ\n3ICkLyABSV1kkObOSB+ID188TXEAABvESURBVKRUQFIGJCsLUht5I+26QEoFJGVAsgJScCEg\nbZr3enH3AUi+1RrS96fPTs4DUpELAenl5P1bpIDkW60hvS4dkvOAVORCQCr6BzYDyTcg6avE\nIf33kIk69gFIvgFJXyUO6R1pqWMfgOQbkPQFJCCpA5IyIAFJHZCUAanWkG6tN72Wuwckq4gg\nDW30Qc4V1SIgZULavOy6/CBdJr+u5e4BySoiSN3lHzlXVIuAlAnpKtkfSBkBSVk5Qtr65jd5\n7kM+kC6VfYCUEZCUlSOkJ2RYnvtgQdo87VL3HJDcgKSvcoT0kOyd5z5YkL4U2eKcA5JbGUFa\n2BFIQFKVBanm91fap0BKQOoiQKorkLbe+Wieu5UoC9J3ImutUyAlIHUEUp2BtEwa5blbieoY\npG+WA6mAig3psfO+Vu5DJJCWSkPljvhXtyBtalj/ByDlX7EhDZXsv9WTGZB8iwfSOpGVQMq/\n4kO6R7kPAZB6jjkeSKqApKyuQrq+1bXW5ALpKtsASZUC0k5NvwJSMVaaVmlCcg8FIIXaQQWk\nbeQ9IBVjpWkBSVlZQ/rw41ghHdnrYyAlKjlIw3pPsmYUDmnmjn9X7lQqDZC2DhmwLhZI39dr\nsDFOSN3kpZCQNs64ypoEUrLiQ+ovA6wZhUP6pVyl3KlUGiBtEPkmDVLPB9Xb1QHJes+zPCAt\nkwbWJJCSVQqkDWe7w2iLAUlGqncASPoqTUhvnOven7FDeuyxrZ716IX0sVQ7E6EgffZj1gqK\nBGld1paApKw0IZ0tZzsTsUNqJe961hMjpOd8fnekSJA61v88Yw6QlAEpGFJLecua+utI+8vo\nA+mBEeMjgeT38R0aIJ08anHW7GbyfsacMof0RP0RQIoN0sZLr0tB+rVcZp34QJoiQ8sZ0m5y\nd+bcqxtWGqSbZE8gxQbpI2lUSZDO2e7prOv7QxIBUv4BqY5AGi1zsq4PJH0Bqc5AOibrI2Nc\nSEvnfuGdW5aQ7hvh/FYlkNICUqGQ9nTeZPSDlL1LLqTT5ELv3NCQ1tw0p2QgnS7T7LNASqv2\nkIY0fM9zru5Acu8MX0izjYxcSKfI+d65oSH9XXYEUqJKhdRDXvScKz6kmje+CAPp24UbUmdi\ngLR+4XeeebWE9ITsEATprbecUx9ILwEp/+oGpBdk9zCQjpK/pM7EAOlPcoxnXlhISxoWAGlt\nVZV9G/wgyVdAyrviQKr5+z/dc6UB6f9J7zCQjpA/pc7EAOlKOcozLyykl6QASN+LfG9P+EH6\nNHZIq+Z/77u+QitXSEtlG/dc8SGtfGOLDelfo04Gkl1EkNbPu71okM5Ov9G1rlwhLZEm7rni\nQxohD9qQrpO9wkOavco72jVRxUI6ss3e+iHNM3evWJAmy//6rq/QSg7Sj/+pKTVI+8pd+UM6\nUC732S3dkA5PPD+JG5J1Z9yWtowJ6ZjDrXHkhUN6QHYBUrI8IY2UxysC0lA5N3FmyxXXJSZ1\nQ5Lj3MmShNRIPjJKF9Kgf2YvWXglB8k+dooJ6d7pB0QM6XNJ3svaIY11J4sG6as/vFChkOR0\n3xUWWJ2CdIr1smVP816NFtJn5QzpRjkkLKSBb3mXAZLmSgiS/GCUNqS3x91pz4gF0tqbnR+w\npEP6iw+kCyQT0iPWnSHXexcCkuaKD6ndc9nLlCekG+Qwe0YskJ6UvvZcNaRTsyBJLy+kZfuc\nCSTtFR+S3JS9TKGQ7h8xvrQhffJhagV6If1N9rDnFgRpRy+kZ2RnIGkvVkhv/t4eDR0e0pmm\ngFKGVNOoamVyBYVD+ukAa0PlAanm+j8DyYgZ0hlyjnVSqpAa/MeeyAPSVpHULw8VDukLka3R\nQ2p6RCGQ/ivyUzakrY86r+iA5KnOQpJG9jvyZQupQ36QTBcFQLLvjCxIi6W1fZoL0sXH/je5\nLJBKF9IVU9blC+n607/LgiSbrIniQ9q4uiiQJGJIt418IXHZ27KtfZoFqfuJ062JjvJacj0W\npD2uvgFIGYWE9PzsFYVD6nvMmYGQ3B+dhIV0s3Hvtdubh0IK0pqrHo8Q0ggZmAlpidGrKg9I\nMz3fATRDeu9n9p+eDgHpaJmZuCwnpM7S1JrIhLSTtAdSRiEhHSh3hILU1A9Sb+moE5Ksa2Fu\nyQvpWemdAemChWuLBmmgeZMyINVft62Eh9RKJDWiRjOku53PvnQgve75mNd0SOdP+iIMpOb+\nkHpVOKTFpz2VCemKTbWCtGX6DMOGdIDcHgpSVRCkRmEgtZmthPRT8wxI82X77VKQxrQdKfvL\n76KEJD+mQap57WcKSM4uWdmQVm8OBemOyQfkBWl3eT257XRIfeS+MJAkC9IHwysc0rs3/sf8\nyo7NhCR35oK0eqF9xAdDWiGyPi9IEgRJwkCSX+QJafMb382X7pKC1N/c6FA5QwOkm96wVpk/\npPvNMwpIPzi35tl1FqQ75bhQkPqbd3c+kHrIM9+/5Y4uDg+p6oAASNdIhUM6wTw6Z/tAujkX\npFOc+9EL6eFZg3NAunZ4MKRTa4wCIA162Pn6hIB0ZOIvWaRDmj/2OeMOOVwbpK+OsX6HMAlp\nH/uwzR/SLWEhjZbbLEjXyeHFgvQ/5nNyq5obQkMyCwGpatetrzxZgZCs19f5QLqgkVxsnXoh\n9TIPBX9I0i8A0teHi31J3pB2lR3tZUNAStyGDEhTZKoxV0Zpg/SU9DE8kPYS64/jFhHSKJlb\nZEiHuB9s8ZBohiSyobl0qlRIo9eEhTRW/CDtmgvSHgGQTjfPnGRkQ1p3vAJSH/NQWLfjzpvD\nQDrTPZMG6ej2tYD05YrwkFokn1oaLqTxAx5UQ9p6UpEgWc8d84N0uxrSdRd3zQ9S08qFJL+M\nENLTd26xIZ2aA5J596ohfWu6KBiSefsKhvRVVYvwkGSI506xIQ2V/80F6a5Wh7qQ1kqRIF2f\nBWn+9HEhIH3xYQCkJuaXCUgupNFaIN0qZzlLBUJqLe8GQpoYG6TGDqR9PrNm5ID0sVTnAanx\nhNRd54G0acEyD6TODqSZMqgokOZc0y83pMPNO0MJqWtVGyDZRQRpphztLBUIaVt5e0/plhPS\n7INigyQOJOeljRZI7m9F2HkgPW6982hB2rWetVBxIXUy78jaQepi/ZwvNKTFXYBkGBdNWb/q\ns7wgzT5rxwIgiQ+kz96xIO0jBUAakIJ0333uriYgvVD/iNCQetiQDrBmBELq3egT41f1rD/S\n4gephwrSw7Jb9UALUrUUH1JH2akokN5sMMAX0t8FSIbRQJbtIbvnA2lb89HFgbTpnABI7+yk\nhNRV3jEhDUpCqh8ekqQgmc+XnJ1IQHpABiUhdVBAkpCQWssiY7j9DrEfJFFD2lk6v+eB9MQu\n8UP6sPHgvCBZ9144SJs/2VwXIdkPMElIy8efmYJ0/difuZDu8IE0UwIgPSzS6cVgSO3k32mQ\npEBI7sdjZUHqVCUSCtLgwVMUkJrWFlIDsW91AtKxogWSebxffJPzozMfSC8ddXIOSJuX3SLD\nXpEu6ZBePvl5C1KrWkO6UC6sA5Ba3xUI6VnTSRLScGvcpQXpEfGBdKECkvRQQTpy50G+kA7f\neS8L0i92uCUd0t5V+UCyX4+EgbSH7KqAJPlAqjlnqvWJL2mQxHpU84PUfLofpG73+0AaKZmQ\n7LvO+QAXH0gz7KfNXkjd3nMg3WheLRvSOXKGBUkyIck19hbCQzIPpVyQWl6b/9Gcs3ghybQC\nIN1REKRuKkg7mC78IPWQ3SxIw+RMB1LPTQ4k82WtL6Q7LlpTHEh7/PEGqT4vBKSvHvgqCWmN\niPV7OeEgyQ5+kGQ/H0hD/SDtIzPsRWxIS/0hrVnnQpInHEh/lL3zgeT8KScfSI3/YOQJSTxv\na9a6UoV01rJ1OSBtviwL0q6vB0JaNioHpCWHnJo/pKo+wZC6yiteSO1vyRdSgxH+kKxfBHAO\nfn9I2zf8zIbU9FCZmiekjuM1Q+p1+MkNUpAOa3VHAlK3+p0LgDRzhhqSTDayIP3ttA/qOqTh\n8pslYyc7kCYdb8pIQrpNvJCaWVcwH+99IV0y+wQ554kdjxJfSD3vuc/84qRBapAD0qndU5Ck\nfTak4Tse6YH0sheS7JYfpF3MLXog/X6zA+nHM81DoV0gpBbyjg3J3PTZDqQ1J1wQDpJ5kV5I\nPcT6IZUFqbl5EA+WyxKQusg2BUCqb970nJCOHrhfLkhHyrU5IP33yAqE9P1p2ZCGyjH3mNMW\npBqRzw0X0pk3fjAnDZL4QfqbC2mQefifc6V1PT9IcnQapO2s951yQNpbgiHtbS7jQLrDhPTQ\nC1s8kPpc+ad8IEkK0ou3Dza5z7ch3ScZkC698UslpHekZRyQfnzKA0lCQmr4q0Ih7ezee+Eh\nvffQGuutj4qD9JSEgHRklQVimEwOhFTzj/dNSLI6AWloElLXT/0htU5AklpA2iEJSX7eyNyj\nJ2xIp87/4gHrsjYFQTrnOPvOkDYPW5DuyYQ0SK4qCNLul4aFdNdR1q/yuZCahYf0lHkb2+UN\nSVoVCqlVCEg9zeVTkA6Su06oREh/z4T0zS+s30I4PAVp6kbDPJZtSKfnhNTrV38zFklXC9J3\n2ZBke/P/bi0zIO3kHEwhIPVLg3RxOiRJQTJ3qbfMsyHtK2PPToN093NjLEgHm/+pIbVwXv+J\nXGFC2nxFJqSB8puTT0hA+seb4SAdbM7tHxbSOJllJCFJLkjTsiDdZQ3IN5/ShYA00AOpqpMv\npMZKSBICklUKkvnEuMIhXe1AOs36Qg0WB9Km3uZNnrlJDckaXvOadEyD1DkFyXpyYh5sz+3s\nhSShIUkaJPM7tAmpTTAk+zZ4Ie1urmiIdSMG5wvpr5INaYi5IgfSUmlhQ7o0cQtyQRqmgNRg\nRL6QrN/ytSA1zIQkYSCJHPafBCRrFfPbSNsMSOJAamlBOvIIkaMG3GokIT3X0N5CVT6QquoC\nJGliQzrZ/cruah6v1qFg9kYwpGf7+EOSLEi9xA/SSy1DQmpifp3OTUASH0gNXUgDEkenB1If\ncwVDrO/eXkjrfkhC+vWoXJBuCoT0gTTtat029wE2C9KJg/qGgyQdC4Vkt4M0vt4f0oRp6ZD6\nVLmQ5JwkpHruF8mEdOw3mZDse8/6xjTMegvThVRTT+wtOIWEJHUCku1i8i5JSJKAtNA8lhuk\nIP1wtFTP8kD6rb3QyA0XOpDuv6tHLkj24ZsFqYVzHDiHYRAkq2biB2n7hs63ZQvS/u6a/CFZ\nEyYke9Ymo2fV0gSkoe7u9MkP0k7bW74tSL3c1WRA6mEewSpI29tnagfJbP/3fCHJfumQrKs5\nkMbMSEBKfJFMSPLHc6Tllbc78zyQBjmQPp90ngXp/kfEC2n3rpc8bz82qSCNaVK5kNo+a6Qg\nDU4chNY3WA8kSUFaZJ3Zaji/CGB+TU+yLx15vziQtrHm7mG/m+0LaeYp1r8eSM1Sh4IH0kjr\nfFhIPSQBqZnrop8HUpVzKOzkfue3INltMtrIG5mQ2h6TAemEuRIAaXtJQOrpriYN0sJQkJyS\nkI5udctRvpBmtQ2EJJP8IQ3LBcm8xITk3hv2F6meufhV54iceLszLxvS3eYWupvP9qrEC8m8\nM+Y4V1h3/u8Wt5UFn+eAZD65H/5za06lQbLusPZ3zcuGZJUJ6Vjr6Y8Dac3abRN34TD73wHi\nQmrqQLJKQrJe/SYgOQ8ZSkj2eQuS/dUKhNTEAynx6lc8kMQ9FBJlQOrsbtrJuoINyXrCaUGS\nA+0DoUoFKXEL0iBVrehhEswJaco4cd8rkBSkOe2sBf0gDZNgSKepIFVfKGmQhpiQ+iWu3cq9\n96YdrIbk3F4vpCHuaWP7Bu4hC3JCsvemkiBt+wtxjvM2UlUTCpJ9sDmQtmnYMnXsWFlfjxSk\ndva8JCS7Fu5c+y4/4sjE7CBITRLHRSAkCYDUKDHbA2n4GOfUheS9FR5Idhakwe4lWZD2vfVm\nH0gjL7JOXUjyeQ9nlxxI9t7US67LPabc2nex9/F95yZnQhq7zwoPpCG3ixKS9ZjR2QtpW+fB\nOQ1S/+QVkpCse8IH0i7WikbUG5kDUtoX2nwEf9yGdHhbZ5b11fk+Acn+ClUQJOse6+8eO2mQ\neoeAlHbsWKVDcsqEJO5XT1JHZzAkqTWkZB5Ie7qn223wgWQd5mcFQTquOgHJutHZkKSDdeoP\nKVkC0l6eee2cY9aFdLBJyQuplbzlgWTfyixIx270QnJKQrK/wlmQJDQksVY0xHys2c28hWpI\ntw6zIA31LGE/hdk5ca4uQBJ/SP2cu6XN2cm7y6kgSIOSs4+un1qkQ6SQrB+dzOuddivcmrvv\n6vpBst/CdCHt4QfJzoTU3PrFowSk3v6QvKVDMld0iQ+kXY601uU8Wc6CJJN8Ie2eeuBLQJrW\nwz6rhNQwC5JzBef2tvZsOhOS+eUyIaXtnVVFQto29aTdgdTIfoorOSAljhLnPSbnja/UXA+k\n5DeqUJDScyA1yR9SVWJaDWnXxIQJKflwmAYpuTILUmN32gfSzlmQErdrt4VSZT2VObhr4pKw\nkA7YJbE/E+ekQdrhM2sVQ1JXyIb0a19IIokvYBKS89MG+6b5Q5qTXKe9U+3dm2Btvaf39ibL\nhNTPhpRVRUKS1FHnQEqWDumexMvhNEjJUpDaPC/2s4FEjUcXCEkyIe02KRvSDYsmJ67Vw7OG\nxC3JgOTX6jap6aG+S1iQ0lecgOQeEdUOpKZZ1+yT2pPsffTNhZT8SYD9NocHkrySAcnaaBak\nxEbTICVLQGqbmpWEZH9ndCHtn7rc84RhmHfrGfVNTQZB6pKYqDBIiQPAH1LTh+yThCMlJNk2\n46IheUNKvH2d2J/El3mgB1J958sxNPXl7uGzJi2QBk3MnJOAlKqJ7zW7BW/ap/ruA2EK0j4p\nSAt9IFmlQ9rpzORkMCRPu6Wd65/ccmq3kg2z35tVloA04viAhSoMUiJ/SO4Lj6Qc52DrKOl5\nIDXPuMgXkr2pXjnv4f5p51Jf5hQk9/tam9TB38NnPdZtqOcz35MaUvoTMqviQUqUBqmDC8V6\nnugHaff0m5h8DlcopF7Ollum5ngg7SyhSkBKPfz4VLcgOXMzIGUWAGmAF1J9CVUwJOfFRZeM\n/enhs55cj3mevJAyH0zdsiBdvJcFaVfPHP/bVTik1M+19km/wA9SVfrZvbMuSIdkFQgpuf1k\nIb9snpKQgqpQSB+HguR/sDnfp3whpb0GDVk6pJ7JKe87xe4z0iSk7Ne+eUPKURYk6+cpYW5U\n4ZCcfL5p+UHKqCprTjakjGWyIGVUEKQdpKtioQqF1MAfklNjCVEOSKr7M7v+OeY3yJ6V4+mY\nUwhIe7RWLpJ925uEg5R9SOdXLkg+d0Ng2ZAy0g/J7y3JrCoUkgRBClUOSPmXC5JPtYWU91Hp\nlv93h/zzuW3XZz88qosBUqjqBqS9JO+0Qcp+JzlntYZUwvm9UN+9gPUASUeFQiogG1KoB3V9\nVTIkv1THvF9A0lF4SLVO9S5NMQKSOiDpCEgVFZD8qyhIOl4e5Vtdg1TI8+9aQypSQCqh6hqk\nQgKSjiocUuAxACQ7JaQ+qgWKU6lAqlk2f9685z5XLFXhkAIDkp0SUkyVBqRVU53f2pZul64L\nWg5IdT4gBbS8p/SaMGPWrAvGd5K+qwIWBFKdD0gBTax+wJ3ackPVlIAF6zKkXeLegdKopXqR\nWCoJSB1OTE2P65p56WfLkj1YhyFRSVcSkKovT01f3DDjwo+9446rNudYxZk5byFRBJ1Z6MHv\nU8GQuo9NTR/RI/PSH1al+i7XKjZ/u9JshdlK93/nZOUKa/ZK7yx3YmXiCivSr7DScwXvlezZ\nK7PWk7pC+npWrPRcIe1Se/ZK75KpFa1w56ddmrpC5lbSboN39grPnZHaSvIKoe8Mn3tvpecK\noe8Mn3tvZeoK4e+M4HtvpecKwXdG8L1XwKH0ba7v8IVUMKQpVbM3OFNrL3L+EC5R3a1gSKv7\nS/ODJkw+/fjhTWXfNTp3iaj8KvznSBuv7mePJawePHeLxh0iKsdqNURo/UeLFi3N9Z4cUR2q\n+GPtiOpAQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLS\nEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0B\niUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCI\nNAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhD\nQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQkIg0BiUhDQCLSEJCINAQk\nIg0BiUhDQCLSEJCINAQkIg0BiUhDQCrTxskX5v9fx70b5AakUm2qtFwXcLEFaeaoVer1zFyq\nbZcod0Aq0Ta2rSd3BFxuQQrTcnlKzw5RYEAq0e6RSVXDAi4PC+kxIEUSkEq04fLRvvK+NXWk\nLJ/YrmHvOemTyddIX0/s1HSPazabs14/sk1192M/NafGy5r/7d6wy9U1xmgxeynG21FXAlJp\n9qEMMW6S31qT42TgtFdeGik3ZUw6kFZ2bnnGlYfJRMNY2LjTpXPPbd7uO8M4Xkad+uorB8ut\nxqvHyUWP/DfuW1MHAlJpNtXE8mPTthsNi8x489/vG/XImHQgnSbPmLNGy2JjTv/nzanr5DrD\nmGgvt0wOM4yZPLWLJCCVZBvaNvnBMI6T+wyLzGPWrBGyPH3ShlTTpmuNOWfZgm/t621a/5xM\ntSA9bZ1r2g9IUQWkkuxuOdb8d4GMMCxIH1izjpc30idtSF/JyOSV7txvW+sV0RQLkv3qquWu\nQIoqIJVk+8vNS5cu/ah91TIL0mfWrEmyIH3ShvSx9fTNabrsddsLr97sQLJ/eASk6AJSKbZE\nEp1nQbIfXo6Rt9MnbUhrJfEe+fomXdeYJ08DKZaAVIr9Vk560Oqv9TtuNrk8bM0bKCvTJ503\nG7Zrs8mcs+S6xZ/Kz63LpgMploBUgm1o02ilM/ULedTkMtqc+rCqt5E+6UA6yXov3PiVLFpX\ntac58WZnOSUN0iyZF9fNqFMBqQS7W05wp14w5YyTEYf9ZU4PudtIn3QgfdGhweTZh8mvDeMw\nOeXeC1v9vUGXe9Z6ID0kA6/6V4y3pa4EpBJsP3krMbl7/S/GydKzOjXsc7th6fFMuiMb/nNs\nu+rtr9piGCuP3q7lgS8Zl2zT4WsPpE2/aNLqwbhuSB0KSCWfZ1Rd2AF2FHlAKvmAVA4BqeQD\nUjkEpJIPSOUQkIg0BCQiDQGJSENAItIQkIg0BCQiDQGJSENAItIQkIg0BCQiDQGJSENAItIQ\nkIg0BCQiDQGJSENAItIQkIg0BCQiDQGJSENAItIQkIg0BCQiDQGJSENAItIQkIg0BCQiDQGJ\nSEP/H3I4nUcI9XbnAAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "barplot(data$ApplicantIncome, main='Applicant Income',xlab='Applicant', ylab='Applicant Income', horiz=FALSE)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "unl6rV5FM8AK",
        "outputId": "dec79af8-5b51-415b-c517-fb9859cfbef9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Histogram of data$ApplicantIncome”"
            ],
            "image/png": 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qCAkAAFhAQoICRAASEBCggJUEBIgAJC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\nkAAFhAQoICRAASEBCv4fGWAgJm16LDIAAAAASUVORK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "hist(data$ApplicantIncome)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "J1n1s_InwgUP",
        "outputId": "252eebaa-0339-4589-cb7a-9880e82f235b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Co-Applicant Income”"
            ],
            "image/png": 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ZqIyMjNmnsgpBAjJFPJg1b/NWrXRk16nvFf3T0QUogRkin+rAs8EJIpQoIHQjJF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"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "barplot(data$CoapplicantIncome, main='Co-Applicant Income', xlab='Applicant', ylab='Co-Applicant Income', horiz=FALSE)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "6jjFGgJYNBEv",
        "outputId": "f59ddfd3-9d6b-48e0-bf4f-d1baedcdf487"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Histogram of data$CoapplicantIncome”"
            ],
            "image/png": 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ICQAAWEBCggJEABIQEKCAlQQEiAAkIC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\nRK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "hist(data$CoapplicantIncome)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "fXyczTXbwyb2",
        "outputId": "db521e58-1792-446c-f71a-78ef3018bbf4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Loan Amount”"
            ],
            "image/png": 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OIeIHERIMU9QOIiQIp7gMRFgBT3AImL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\nYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "barplot(data$LoanAmount, main='Loan Amount', xlab='Loan Amount', horiz=FALSE)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "oc31gZ24NFKO",
        "outputId": "b9b28f6d-0ed0-4f29-c31c-f00200433a56"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Histogram of data$LoanAmount”"
            ],
            "image/png": 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CBASIQEAUIiJAgQEiFBgJAICQKEREgQ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\nAAAASUVORK5CYII="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "hist(data$LoanAmount)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rpNMrniN_Y4M"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "xCueggKFw-On",
        "outputId": "9b9d9621-eb4e-4d03-c98d-ef5a11786482"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              " 12  36  60  84 120 180 240 300 360 480 \n",
              "  1   2   2   4   3  44   4  13 512  15 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Loan_Amount_Term)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "S1jp8xvyxGUs",
        "outputId": "5c56a78c-3f76-4dd4-ac70-fb2c7670c007"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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TPkEejtFvKEv0evDpzh0sFdEb43e/Xq5efnt2DBApYnbLF169a0tLSQkBA+Pr6W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\nzr4WUB6eKAcKunz5cmF+vv2Grnj+GgA6praubpWxaVh09L4r3p3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Nq2t59XXatGm577OfxdxDq/uuXr166mqt7OLtxaDbQbGDbiMvLy8m\nJsZAYzXZQQA4Qkpa+gItXTpvj3Nh8QJ/tupsbVWVy9YfLlOXnp4+a9YsBweHNepLSvIScPu1\nHUaG6hERETk5OWQHAfaFYgfdhre39+gRI6ZLc9bCpACkiHmWtEBLh7tX79OhT/l79vqTU71K\njN26Sik5IvTu3bttlqlrnajLz899nhiIibqfmjVTVmLsaG9vb7KDAPtCsYNuw9vbW0d1FTYi\nBOhsj+PjlxquFRoi4h4aw8/fs8PnodObvc+47DfW7ivQKz8/X11d/etP09LS5OXlWybqit7H\nSUtN+OPgHEFLc5mPjw/ZKYB9odhB90Cj0ZKTk7VXrSA7CADFhURGLTUwGiI27sT9CG7eju8n\n/rGoYN9aTd+zJ3c5ONBotK+X5PjvRF1ebnJcACbqfssa9aUpKSlZWVlkBwE2hWIH3cOtW7fG\ni4+ZMnEi2UEAqCzwUdhqU3PR8ZOcfIL+ZOeu+EfBtqqLirMzExMTDx069PVHL1++nDlz5q5d\nDusM1Ys/xMvKTPrj1JxlitSECePF7969S3YQYFModtA9eHt766qqkp0CgMpuB9xXN7cYJzfj\niPeDDp+ksaHhyuE9xzeZTZWVKS4unjp1autHTU1NTk5O06dPLy0tfPX83wvuf7MiNSfSWK2C\nu7HwIyh20A1kZGSkp6drr1pJdhAAyrp085bB5i3TFijvv3anwyfJy3prr7U89NZ1d3f3qKio\nrxcffvnypby8/K5duzZZGeZlRU8YL97OeaB9a9SXJicn02g0soMAO0Kxg27A399/0jiJ8eJj\nyA4CQE3nPL3W77Cft0rDzs2jwyeJ8vfZqbmsubbq3bt3LTuKtvjfiboQZ6fvb2YFv056ykTc\njYUfQbGDbuD+/fuqyspkpwCgJqez56x37V6sZbDxiGvHzlD1ufyIlVHLMnX5+fliYv/dTPbF\nixczZ87ctWuXzYa1mKhjIXU1ZdyNhe9CsQN2V1JSkpiYuEp5MdlBACjI6ew5e8ejqmbWlgeP\ndewM6QkxtmqL0mKf3Lt37+tl6lon6j59LMl4+fDYEXsWRQaCIAh1VZXk5OT8/HyygwDbQbED\ndnf//v1BA/rPkMG6xACsxGQybQ/+be94VMPSZu323R04Q8sydQdMdIb0Fy4sLFRTU2v96MWL\nFzNmzNi1a9eWTetyM5+MGzuaZbmBIAiCkJOdLDJ0UHBwMNlBgO2g2AG7CwgIWLV48Z+svAAA\nbTCZTJu9+09cvGS4fbfelp0dOMPHooK9hhq+Z0/u/uuv169f9+/fv+V460Tdx4/FGS9Cjzl2\n5OTwU1xcXEuUFYOCgsgOAmyn44tPAnSBurq6yMjIO+fcyQ4CQB10Ot18h/21Oz6WB44t1jbo\nwBniHwad272dj4c7MTHx6wVNEhISTExM3rx5Y7vFFJWusy1fOn+t6Y6GhoaePTu+OwhQD2ZB\ngK2Fh4cTTOaCObPJDgJAEU3NzbobNl2747Px6KkOtLr/LFO32XyqrExpaWlrq2toaLC3t58z\nZ05VVfmbtEdodV1AedHc5uamx48fkx0E2AuKHbC10NBQRfmZvfDzKAArNDY1aVla+waHbHe7\nNF9V83e/npf1dueaZaG3rp87dy4qKor3/zcci4+Pl5OTO378+PYtpnlZ0RLio1gdHL5DUFBg\n7pzpuBsLbaDYAVt7+PChsuI8slMAUEFdff3KdSb3H4Xt9bgpv3jZb32XyWQGeXrYqasw6mve\nvXtnaWnZcrxlok5BQaG6+vObtEdHD+/ohODwQ8uXzn/woOPbhAAlodgB+3r//n1mZqbyPBQ7\ngD9VU1u7cp1JeHTsvsu3p8z+vd9TVZ/Lj1qtu+K4d8Xy5Xl5ea3L1MXHx8vKyjofP+5gZ4GJ\nOlIsWzI/Jyfn7du3ZAcBNoKXJ4B9hYaGDh86dNI4CbKDAHRvFVVVSw3WJqWlO96+P1ZK5re+\nmxYf7bZjU11V5b1791oXNGloaNi/f7+zs7OIyKC36WHiY0Z2Qmr4uXESYqNHjQgPDx8/fjzZ\nWYBdYMYO2NejR49U5mO6DuCPlH78NF9TKzn9lZNP8G+1upZl6g6a6oqKDC0pKWltdXFxcbKy\nssePH99huz4vKxqtjlxKivKRkZFkpwA2gmIHbIpOp0dGRuI+LMCfKC4rW6it+ybn/cnAyNET\nJv/6F8sK81uWqduze3dqaqqQkBBBEPX19fb29nPnzq2pqXiXHuZ40LbTgsOvUpovHxkZyWAw\nyA4C7AK3YoFNJScnf/78eaHCHLKDAHRXufkFC7V1iz6Vn/43esAQkV//Ylzog/N77Ph4uJOS\nkmRlZVsOxsbGmpiYZGZmOthZ/n1gW+dEht+2UGn2p0+f0tPTp0yZQnYWYAuYsQM29fjx40kS\nEgP/fzl7APgtOR/ylLS0iz9X/Fara1mmztlmfcsydS2trmWibt68ebW12fWiqwAAIABJREFU\nle/Sw9Dq2MowkcESY0fjbiy0QrEDNvX06dN58jPJTgHQLWVkZims1iivqTv7KK7fwEG/+K3s\n12m2aotCb10/f/586zJ1sbGxLU/UOeywxBN17AmP2cHXUOyAHTGZzNjY2LkzppMdBKD7eZ7+\nSlFTq47OOPMwTrBvv1/5Sssydbt0VnI3N2ZlZVlYWBBfTdQ1NdZlvQ4/tG9rJweHDlJSlH/8\n+DGdTic7CLAFFDtgR2lpaZ8+fVJAsQP4TUkvXy7W1efqKXAuIkFAUPBXvlJV/umIldHVI/u0\ntbTy8vJGjRpFEERMTIyMjIyLi/PhA9toGZFio0U7OTh0nNJ8+crKyhcvXpAdBNgCih2wo6dP\nn4qNFBUdNozsIADdydOExIXaur2EB7qHxvDz/9JGfGnx0bZqizISY0NDQ728vIj/n6hTVFTk\n4aZ/yHy6c7tFJ6eGPzVk8EDxMSPj4uLIDgJsAcUO2NHTp0/nzcQDdgC/4d+oKBV9w35DR5x8\nEMnN+/MVD9osU7d48WKCIKKjo6WlpV1cnB0P2r5ODRURGdz5wYEF5GfIJCQkkJ0C2AKKHbCj\n2NjYOdOnkZ0CoNsICH2oZmI+cqLkycAIbu6f/8FeWpC3x0Dd9+zJvXv2pKamCgoK1tXV2dvb\nz58/n5eH8SHz6Q7b9V0QG1hl5gyZ+Ph4slMAW0CxA7ZTXFycl5c3U/b3Nj4C4Fje9wPXWFhJ\nyExzvHX/V8bH/hu4ffXistzspKSkffv2EQQRHR0tIyPj4uJy9O/tmKjrjuRnyGRlZX38+JHs\nIEA+FDtgO4mJiQK9ek2SwBaxAD93456/4eYtMooLD3j6/nRwfW3N+b07XLZYTJOVLSkpkZWV\nbZmomzt3Li8P40Pmk+1bzbsgM7Cc9JSJPXv2SExMJDsIkA/FDthOUlKSrORk3l94SAiAw533\n+sdgk830RUvt3a/+dDDt1Us7dZVIv9sXL15sWabu6dOn0tLSLi4uzkcdMFHXrfHx8crJTMZj\ndkBgSzFgQ8+ePZsuLU12CgB2d/zchR2HHRdq6lr/7dL+SCaTGex12fP4oaFDhmRlZY0aNaqu\nru7gwYNOTk4TJ4jn06KHDBnYNZmh88jPxGN2QBCYsQM2lJycPF0GxQ6gPU5nz+047LjK2OKn\nra6q/JOj5dqrR/aZmpi0LFP36NGjiRMnnnBxOXl89+vUULQ6apg5XebZs2dMJpPsIEAyzNgB\ne8nJySkrK5sujd2sAX5or7PLIVc39fUb9bftan9kWlz0qR2bGutqQkNDFy9eXFVVZWdnd/Hi\nxYkTxPMwUUctMtITP3/+/OHDh5YlpoFjYcYO2EtKSopQH8Gxo0eTHQSAHTGZzI279xxydTPc\nvrv9VteyTN1+Y62Rw4YWFxcvXrz44cOHUlJSV69cOXFsFybqqEd8zEhBQYGXL1+SHQRIhmIH\n7CUtLU1qwgQuLi6ygwCwHTqdbma3w/2a1zr7fWpm1u2MLC3I26O/2vfsyf3796empjIYDAsL\nCxUVld4CfHm06K2bTbosM3QZbm7uyRMlUOwAt2KBvbQUO7JTALAdOp1uYmvndddvw2HnBRq6\n7YyM/Tfw/F67Hry8ycnJMjIyoaGh5ubmxUVFJ4/v3rJpXVflBRJMkZqQlpZGdgogGWbsgL2k\np6dLjh9PdgoA9tLY1KRlae3ld2/byfPttLr62hq3nZtbl6kTExOzsLBYsmSJYG/+/JxYtDrK\nk5Ic/+LFC7JTAMlQ7ICN1NfX02g0yQnjyA4CwEbq6utXrTP1D32488zl2UtW/mgYLf3F9tXK\nMUH+ly5dioqKCgsLk5KSunr1yimXPa9TQwcP6t+VmYEU0lMmZmZm1tXVkR0EyIRbscBGXr9+\nTafTMWMH0Kq2rk7VxCwqLn7vldtS8grfHdO6TN1IUdH8/PyePXtaWFi0vPqanx2LSsc5pkiO\nZzAYr1+/njYNe21zLszYARtJT08fNmTIAGFhsoMAsIWKqqrFuvqPExIP37z/o1ZX+emjo4Xh\n1SP7zExNaTRaSkqKpKTk1atXz7odwEQdp+nXT2jE8KHp6elkBwEyYcYO2Mjr168nj8d9WACC\nIIiP5eUq+oZpb98d9QkRmzDpu2Nexj5127m5sa7m0aNH06ZNa52oe54QO3AAfkDiROMkxDIz\nM8lOAWTCjB2wkczMzAni4mSnACBfSdnHBVq6rzJpJwLCv9vq6M1N3mdcDphotyxT9+XLF0lJ\nyatXr7id2Ps6NRStjmONFR+FYsfhUOyAjWRlZYmPxprpwOk+FBTOVdd8l/vhZGDEMLHv/KhT\nmv9ht76679mTBw8ejIqKsrW1Xb58+YD+fQrfx22yXtv1gYF9SIwdzfJi19TU5ODgwPN/7N13\nWFNXAwbwk0VCEsJGGWGDoOAAF4rbOuu27q1VW/es2uWoq24rWtFaV6m46h4VqYgDUAFRBJUp\nUzZkkEDG90e+UgQ34E3g/T19+sjN5fJSKbycc+85DMZrb90rLCxcvHixnZ0dm812cHAYPHhw\nlS1ri4qK5s+fb29vr6enZ2VlNW3atKysrNpNCJVhKha0hVqtTkpKwp4T0MClpKX3GDk6u7DI\n7+/bxuaNqp9w48yJfatX8PQ5UVFR6enpHh4eeXm5B/w3TJ4w/NOnBW2jKXZqtbq2lnmPi4sb\nN27cm8piQUGBt7d3SkpK//79J06cmJSUFBgYePXq1YiICE9PT0JIWVlZjx49IiMjhw0b5uXl\nlZiYePjw4eDg4AcPHhjjduq6gRE70BYZGRkSicTFwZ7qIACUeZqY1Gno8DyxZE9QWPVWVyoR\n71g655dl89q1aR0fH+/n59e/f3+htXlOWgRaHWi4ONtLJJLs7OxauVpJSYm3tzedTo+MjGSx\nWNVP+OGHH1JSUn755ZcLFy6sXr366NGjgYGBMpls2bJlmhP8/PwiIyM3btx48uTJFStW/Pbb\nb0ePHk1OTl67dm2tJITqaGq1muoMAIQQcuPGjZ49e0oTnuq97tsHQL335NnznqPGlKrUv1wK\n5QoEVV5NeBS9bdHXBdmZBw8eFAgEM2bMyMvL3bvrp4njh1KSFrSTXF7GM/EMDg7u3Llzza9W\nUFCwbt269evXs1gsDofj4eFx//79yicsWLDg0aNHly9frqh9arWax+NZWFikpKQQQlq1apWY\nmJibm8tmsyvey8XFpaSkJDs7G7tH1gWM2IG2SEhIsLO2RquDhulBzKPOw75QMFl7gsKqtDq1\nWn3x8P5vxwziMukxMTE3btz4/PPPbYUWOWkRaHVQBZPJsLZqFBcXVytXMzEx2bx582vH6jS2\nbdsWFBRU+YSysjKFQmFjY0MIkclkjx49atu2beVWRwjx9fXNyclJTk6ulZBQBe6xA22RmJiI\nJyegYQoNj/h80mSusdn2C/+w9F75EVicn/fLsnnRt27MnDmzX79+3bt3L8jPP/zbpvFjh1CV\nFrSBSqXKys5NTklLTklPSUlPSc1ISU1PSU1PS88qL1ecOnVqxowZlATbu3dveXn5qFGjCCFp\naWlKpVIoFFY5x87OjhCSlJTk6OhIQcT6DsUOtMWLFy/sbWyoTgHwqd24GzZg0hRjS+utZ4Lo\nzFe+Jz+8c3Pn0rnlpZJTp05duXJlwIABHdp7xT+8bGDAoyotfHpZ2TmvtreMlNT01BcZZWXl\nhBA6nc7l8oyNTRo3tvLy7jxmbLPQ0GBzc3NKooaEhCxZssTX13fmzJmEEJFIRAjh8ap+ufL5\n/IpXodah2IG2SE9P797am+oUAJ/UpeB/hn05Q9ik6YbjFysfLy8rC/xl01/7/Fq0aLFixYrZ\ns2djoK7eKywsTkpOS0pOy8x6mZWdm5T8Iik57emzJLFYSgih0Wgcjr6xsYmxsanQtkm37oM8\nPVt17tzDvPpDNqWl9+/frHgzLy8vMzPzxYsX6enpGRkZL168yMjIyMnJOX36tLOzcy3m//PP\nPydPnuzh4XH27FlmpV9Rqt9Ip7m5HzfY1REUO9AW6enpNgM+pzoFwKdz4sLFsbPnOjRrvj7w\nQuXjmcmJWxd9lRr/ZPHixS9fvhw5cmT7ti3joi8JBHyqokIt0hS4zKycrOycpOQ0TYF7npBS\nUiIm/xY4Pp9vZGQiFNqNGdPD07OVr2+3Ro0s3/P6XC4vMjKye/fuGRkZaWlppaWlhBB9fX1b\nW1tra2sbG5v27dvb2dnZ1N4MiVqtXrly5erVq/v06XP8+HEDAwPNcYFAQF43MldSUkIIqTgN\naheKHWgFtVqdkZFhbfmaVbsA6qWAM2cnzV/YolO35XsOVT5esUzd6tWrd+zYIRKVHDmwZdyY\nQVTlhI9WWiqrGHirKHAJianFxf8vOkwmk88XmJtbCIV2o0b18PRs1b59J2vrqnekfShzcwup\nVOrr66upcUKh0Nra2tTU9KMvGB8fv3bt2rKyssjISHNzc19f3+XLl7dt21bzqlqtnjZt2oED\nB+bMmbNt27YlS5Zs27Zt6tSp+/fvt7W1ZTKZqampVS6YmJhICHFxcfnoSPAWKHagFXJzc+Vy\nuY3l+/5KCqDT/P8I+HrFd2169F6yc3/FQalYtG/V8pvnT3fq1MnMzOy7775r37bltUvX+Xwu\nhVHhnWQyeWZWTpUCl5ScVlhYrDmhcoEbObKHp2erdu062tjU1bNiHh6tlErlnDlzauVOu9jY\nWB8fHxaLRafThULh1KlT/fz8OnbsePXq1e7duxNCFixYcODAgXXr1i1fvvz+/fs7d+6seF89\nPT1vb++IiAipVMrl/v/LWKVShYSECIVCW1vbmseD6lDsQCukp6cTQlDsoCHwO3h49nffdx86\ncta6bRUHK5apmzJlyvnz50Wikj8Obh0zaiCFOaEKubwsI/Nl5QKXmfn/6VTNCSyWnoGBwNy8\nkVBoN7LtZx4eLT08Wri6vmar3zplZWVNCElPT6+VYrdu3TqRSBQcHNy3b19TU9Pvvvtu4MCB\nLVq0WLNmTffu3U+fPr1jx4558+YtX75coVB8+eWXHh4eDx8+rHj3qVOnTp8+fdOmTT/++KPm\niL+/f2Zm5qpVq2qeDV4LxQ60QkZGBo/LNaq2KCtAPbN25y/f/by5z5hJX/6wTnNErVZfOvLb\noZ/XNLIw79Kly4EDBzBQR60qBS4z8/+PMiSnpGvu+mexWAYGAjOzRjY2tl26tp06zc3Lq03z\n5t6f7GkAlUqVl5eTl5eTnZ2Zl5f78mVmbm5OTk52Tk625iAh5J9//mnVqlUNP1BISMiNGzcI\nIZcvX1YoFBkZGZotJdhsdlJSEiFk6dKlmjzLli0LCwuLjo7+4osvHj58eO/evcLCQmNj4ylT\nphw5cmTlypVRUVFeXl5xcXGBgYGenp6LFy+uYTZ4E+w8AVph3759G9euTbh9892nAuislVu3\nrdq6fci0WeMWf6s5UpSf+8s38x7eDtFsuCkWi377dT0G6j6NsrLy9IzspOQXmVk5WVk5FeNw\nKakZKpWKEMJisfh8gZmZeePGVra29m5unl5ebVu08KbT63xtf4lEnJ2dmZeX8/Jldm5udm5u\nzsuXmXl5uVlZGfn5uXl5OUqlUnMmg8nk6OtzeTxjU1MTc/PG1tY29vZ/7N27eePGKVOm1DDG\nhg0bli9f/tqXunTpcuPGjbd02eTkZHt7e0KIWCxetWrViRMnMjMzLSwsBg8evHr1ahMTkxpm\ngzdBsQOtsH79+rMnToSdP0N1EIA6oVarF63+adu+/WMXLh86fY7m4MPbITu/mVcqKnZ0dIyL\ni2vftuW1S4cxUFfryssVaelZmVkvs7JeeZQh9UWmph4xmUwOR18gMGzc2NrBwcnd3aNly7at\nW7fX09Oru1TFxYXZ2Vk5OVkV/y4uLnz5Mvvly8zs7KySkqKKM5ksFkdf30AgMDY1NbeyshIK\nzSwsHJs0cW3WrImnJ5P5mpm3z729J44eXSujYnFxcR07drS1td21a5ezs3NWVtaSJUvu3r0b\nHBzcrl27itN69uz55MmTuLg4tVptbGyseXii5h8dPgKmYkEr5Ofnm5kYU50CoE6o1eq5P/y4\n6/dDE7/5YeDkmYSQ8rKyI5vWXDzyG4/HY7PZyclJAYe3jx6B5X5qqmIpuNcWODqdzmZzjI1N\nGje2buXVaczYOixwMlmppqUVFxe9fJlV5Z/KQ250Op3N4fAMDIxMTMwsLByauXXq38fe2dml\nWbOWbdpwuB9T9I1NTQsKCt5yQn5+vkKhaNTo3QsRuLu73717d+jQoZ06ddIcsbW1DQoKqtzq\nDh48eP369ZMnTxoaGhYVFb3hSvCJoNiBVsjPzzc1RrGDekipVE5dvPTwyVMzV2/6bMRYQkhG\nUsK2RV8lx8VyuVyJRNLZt+3lcwe4XA7VSXXJawvci7RMhUJJKq3lW7nAeXm15XBq7T9yWZm8\nsLCgqKiw8pBbxcBbZma6WPz/NU1oNBpLT4/L4wmMjPgGBubWVs3at7ZzcnJq0sTK1rZZjW+D\ney0un3/v3r09e/YUFBTk5+fn5+dr/lDxplqt5vF4RUVFrx3wqywuLq5///4KhWLLli2urq45\nOTlbt27t27fvyZMne/bsSQjJyclZtGjR559/PmzYsLr4XOBDodiBVsjLy3O1wiOxUN+UlZeP\nnT331KXLs9dt6zpkBCHkxpkT/quWy0ulhBC1SoWBurerXuAys16mpGZIpaXkdQXOyalJu3Yd\njYxq4f6tiiG3yv+uGH7LzX2puQ+P/DtVytHX1wy5NW3i3dt+mIWlpUuzZq3atWPXXpt8f0UF\nBdFhYWlpaaampiYmJqampi4uLu3btzetxMrK6p2tjhAyZcqUly9f7t27d9++fZGRkQwGo0WL\nFi9fvpw0aVJycjKLxZo3b55cLrewsLC3t8/MzNTcPCeVSuv+s4TXwz12oBV8fHwGdOm0Ys5s\nqoMA1Bp5WdnIr2advxa0aId/+8/6ScWivT9+c+vi/28kbd+25fUrRzFQp1G5wFVsyRD/NFEi\nqVrgGjWyFArtPD1bde36manpxy/nIZfLiooKK0+PVh5+y8xMLy8v15xZecjN1MLCwtLSxNxc\nM+Tm4eVlWW2He22w9YcfYkJD//nnnxpeRywWCwSCJk2axMfHOzk5jR49WiaTHTp0KD8/X6VS\nPX78+MWLF/369bO0tMzKyurXr5+Hh0dCQsLp06f5fH5YWJhQKBRgrYNPDiN2oBXy8vLM8JAU\n1CPS0tLBU7+8fvvO9/sDmnfo/DwmavviWdkvUggh+vqc3/03jvyiP9UZKfD+26E2amQ9dmyP\nN22H+j4qP51Q8VxC5YG3ijMrP50gMDJq1anjQHt7zdMJLs2a1ekjFHXEyNQ0Pz+/5tcpLS1V\nq9XPnz9v1apVaGgoj8cjhMyYMcPd3V2lUslksuvXrxNCsrKyCCGXLl26dOmS5h3FYrGHh8c3\n33yzYcOGmseAD4JiB1qhpKQEi9hBvVEsEvWfMCksKnr1oZNu3m0vHt5/6Oc1SkU5IaRvr85n\nTv6qi13hgxQWFlfaC/U126GyWHpcLk+zGYNmO9QOHbpYWlq//4eQyUpf+1yCZuAtIyNNoVBo\nzqx4OoHL45laWDg0c7Oxt7d3dm5sbd2yfXvz93iAQOcY11KxMzc3NzExKSgomD17tqbVEULM\nzMwEAoFCofDw8Jg6depff/2VlZX1xx9/sFgsQohEIhk1ahSXy2WxWBMnTqx5BvhQKHagFcRi\nMf/f7xoAOq2wuLjvuIkPHsduCLxg0thyzbQxD2+HEEL4PO6xozv69+1GdcDaVKfbob51QZDM\nkpL/b9hFo9P1WCwOl2sgEBibmVlYWTVp3cLa1tbexcXVw8PR1fWTrRv8iZWXlYlFIlFxsbik\nRCIWS0QiiVhcXFgoEYlio6JycnJq5aPY2toWFBQsXbo0KSnJzs4uPT39yJEjBQUFfn5+bDbb\nwcEhNTW1a9euQ4YM0ZyveSrW2tr6+fPnbDa7VjLAB0GxA+qpVKrS0lIeV5/qIAA1lZOX32vM\n2Lik5K1ngzKSE1dPHS0qKiS6P1D3Eduhtm3rIxQ6vPWapa99LqH6giAMJpOjWRDE1NTMwsLN\nu2UPu0EOrq7Obm5NW7bk6Ov2tw65TCYRi8UlJaLiYk05k4hEJcXF4pISqVgsFomkmrr2b3UT\nl5SUFBVJxOLysrIql6LT6Qw6XbOvq0KhkMvlNa9WhYWFNjY2KpVq3bp1mpvyGQzG6NGjv/76\na0JIWlqaUqkUCoWXL1/esGFDZGRk5dWbk5KSHB0daxgAPhSKHVBPIpGo1Wo+FyN2oNuyc3N7\njhyTkJa+8eSVq38eunjkN0IIn887dmS7rgzUvWk71IrdtCoXuC++6OHg4OTi0rRDh87VL1VW\nJn/tcwmagbeMjDSJRKw58y0Lgrg1by50eFs71Cqy0tLiwkLNP3KZrOJNuUwmf8NLmjerX4pO\np7OYTLaeHpPJZDGZPC7XgM83MhSYGRtxLBubm5hYmJkZ8Hh8Hs/aspGtlZWTvb2Az69494dP\n4lr26nPnzh0ajSaXy0tKSqRSqVwuLywslMvlUqm0pKSkvLx8ypQpPj4+b/+k8vLyNHfaubm5\neXp6JiUlPXjw4M8//2zSpMmPP/4oEokIIZpHKJycnObPn695ukKz4ZjmVfjEUOyAemKxmBCC\nqVjQaanpGT1HjcnMy1/x66GdS2Ylx8USLR6oq9hN603boVYucB06thoz1rFly7bt2/tWHo/R\nTJUWFxeeP3+q+sBbTk52xaoLr10QRGufTnhTPyupVtcq/lxUUFAml1e5Do1Go9For+1n5hyO\n0M7WvFVLCzMzSwsLgQHfgM+ztbJycXTkf9SKxFWoVEpCSPfu3Qkh+vr6HA7HyMiIzWbzeDwD\nAwM2my0QCLhc7vssd1JaWqpSqVasWLF27VrNkQMHDkydOnXDhg3fffed5khoaGiVpyuaNWum\nVCrr6yS4lsNyJ0C958+fu7q6pt0Ls7HEUnagk54lJfUcNbZALBkxa2HA9o3yUimfxw38Y2e/\nPl2pDfbO7VA1Bc7Q0NDU1KJiN622bTswmczqTye8aUEQOp3OZLFeuyCIZ+vWja0/4JGI2iIr\nLX1TCSt53ZiZ5s3C/Pzq85uV+5k+h8NisfRYLE0/43I4HA5HM35WF/3so2W+fGnt3fb+/fve\n3t41vBSXy5XJZGKxmPvvZ6RUKvX09FQqVUxMjL6+vouLCyHkypUrvXv3rniv77///qeffgoK\nCurRo0cNA8CHwogdUE8ikRCM2IHOinue0HPUmBKZ3L11u9/X/0ioGKj7oO1QKzZjcHVtkp+f\nX/m5hPj42JCQ65rht+Liworrv2VBkDdtV1orqvSzyiXsQ/sZnU6n02gsFoutp8dhs9lsPQ6b\nzefxjAQC48aN+DyeAY9nYWbayNzc2NDQ2FBg3bixk709q84+tTdRqVTFIhEhpLC4mBBSXCJS\nqVQiiUShUEik0rLy8lKZTCaXy8vKpKWlCoVCJJao1KrikkrvIhLJ5WXk3+cYaqhp06bR0dGE\nkOXLl//888+tWrU6e/as5rcCkUjUpEkTTfG9evXq9OnTs7OzGzdu3KpVK80CxZrOB58YRuyA\nenfv3u3QoYMs6Tlby2ZkAN7pQcyj3mPHi2VyAyPDvKwsHlf/5DG/Pr1ec89ZbXn7dqiV1/K1\nsbFt1MjS0tLa1tahoCDv/RcEsbC01CwI4tKsWXNvb26lm7c+ztv7WfU70jR/LsjLU/w7KFiB\nQafTGQwmg8HW0+Nw2Bw9NputZ8DjGxkKjAQCAx7PgM83NzVpbGHR2Nzc1NjIxMjIyc6udqtn\nUUmJWq0uEYmVKqVYIikvV0hLS+VlZTK5vFQmKysvl0ilSqWyRCxWq9VFxSX/vYtYrFQqxRJJ\nueLfd5H99y4KpUIklrzl42pmNukMBiGEwWTSaDQmS09zhyKdwWSxWEyWHpPF0uNwaAzG08h7\nISEhnTvX9Etxzpw5u3btatKkSWZmpkQicXZ25nA4T548USgUL168EAqFbDa7rKyMEGJsbFxY\nWFiRs1GjRpr17eATQ7ED6oWGhnbu3Fn5Irny7TsA2u/ew4d9xk4oKCqi0WhqtbpXT9/zp/1r\na6DunduhstkcLpcrEBgJBIZGRsYmJmYCgaFUKtHc65aVlSESlWgupfnZr8dma4bczK2srITC\niu1K3Vu0eM//9TR967UlrHo/q3izIDe3okFW0Dy/SafTNfObPC6Xraenp6dnZCgwMTLi6etz\n9fU185vWlo2MBAIBn+/u7MLhvO8znpphrf/+LZNXPSKXv3La606o/ir5d1TsLTQjWDQ6nU6n\n0xkMOoPBYDAZTBaTxWKyWCyWHlNPT4/NZrHZemx9Qogeh83W57I5+hwul63P1efxOVyePp/P\n5fO5fAN9voBnaGhgaPxB9VqtUg1varN48WIbGxuZTEYIKSsr08yNqFSq4n8/hb59+w4ePPjt\nl7p582aXLl0MDAzIvw9D9O3b9+rVqx4eHg8fPiSEMJlMpVLJZrNnz57t4+OTkZHx7bffisXi\nxo0bo9hRAlOxQD2FQqH5Nkh1EIAPcDM8/POJkzVDLByO3unAPR83UPf27VArMJlMJpNlYGCo\np8fW1+cWFxcVFubLZKUFBfnk3wVB+AKBkYmJqYVFc5+2fe3sbOztnd3dm7ZqVWXNiyr9LPji\nxYo3a7GfCe1szU1MeFwuj8ut3M+aubrq6em9vXiRSpUrPiHxfYpXxbsUi0QVu7i+1juLFyHk\nv+5lKDBoxDZ7V/EihDR6v8X5Pg0anU6j0QIDAy0sLAghdDrd0NBQ85KRkZFmRI3P57/Pd10P\nDw9vb+8HDx40atRIIpEwGIzLly/TaLRly5ZVPk0ulyckJAgEgri4OE2DzM3NVSqVDAaj9j89\neCuM2AH1goKC+vbtW56SSHUQgPd1+Z8bw76cUSqTEUK6dmp77fI1kJjqAAAgAElEQVThd072\nvX071LeruiCIlZWVUGgpFFo0buzg4mJsZlalhJW8YdENWWlpfs5/68NVqN7PGAwGg0Hn6XN5\nXK4Bn8dkMrn6HEMDgZFAYGxkqMdiGRoYlCsUHzEkppmOfPsn+6biRQipPuj19hEvQoime5k3\nsqR/8hvmKDSqhcO5M2f69OlT80up1Wp/f/89e/Y8fPiQwWC0bt06JibGxcUlKiqKTqebmZkV\nFRXNnj37zJkzmZmZFhYWAwYM8Pf31zxd4enpWfMA8EEa0Fc5aC2FQsHEb3WgO85fCxox82uZ\nXM7W0zt9fHeVR181Ba7ShlovkpLTnj1PFonedvsU0bQrJpPFYrH19bk8Ho/PNzQ25vL5hsbG\nUrG4Yg3bnOzslIQEqeQdV6uMRqOx9fRodBpHj23A4/G4XDqdbsDjERpNn8MWiSUKhUJSKi0r\nKy+VyUrE4rdfitBodDqdRmgMFpMQGktPjxCix+HQaHQ9DodBZ+jpc5hMlh6bw2JzWIZ8Hpdn\nyNLjGRjQmUyBkQmNRjMytyCEmFo0ptFpxuaNGHp6xqZmepyPXGe4vKxMLnu1HKvVkpJXJ0xV\nqrTE5wrFK3fsKcrL5VJplatJRMVVxjvKZKVVHsVQKhSl1f77l4pFmkVG/ntHubzs1TXq1GqV\ntNrSbqUSsVL5ylDoa4OJS6pOAculUkX5q8GUylLJf399T548qZViR6PRZsyYMWPGDA6H4+Hh\nERYWNnbs2ICAgKdPn7q7u9vb20dHR2/atGn79u2a83fu3FnxdEXNPzp8KBQ7oB6G60GHHDt7\nbsK8BeUKRcsWTQ/u+zk3L9//t2PVt0P9CCqVSlVWVl5WJpVICvPyajGzWq0uUyjoNJpSTQgh\npWXlDBazSFrKZOkxmEwWm61UqtlGphw63UKfS6MzuHy+orycra/PZOlx+Xw9DofD5bH02OVl\nVZdqE1e74UxeKq3yxINMKpFJc/JevdtKUlJCXu1Pcrms/NWl4FRKZam4ajOQSsSqtw741USV\ndddoNFr1b01MJrPKaQwGQ7NNauV31K+2H4a+vn6VYV0mk8nj8arcNmhoaEin0wkxrjjC4/E4\nHE6Vj2hiYlLl+mZmZpWvv2LFit27dwcEBBBCNM80VDd27NjVq1e/9iWNjIyMfv36tWjR4vD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BvYGhEdAWNjY2PB7vWVIyih0A1FfVt81I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\nEHYAAEEIOwCAIIQdAEAQwg4AIIj/BbwU5ugHe619AAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "amt_term12 <- sum(data$Loan_Amount_Term == 12, na.rm=TRUE)\n",
        "amt_term36 <- sum(data$Loan_Amount_Term == 36, na.rm=TRUE)\n",
        "amt_term60 <- sum(data$Loan_Amount_Term == 60, na.rm=TRUE)\n",
        "amt_term84 <- sum(data$Loan_Amount_Term == 84, na.rm=TRUE)\n",
        "amt_term120 <- sum(data$Loan_Amount_Term == 120, na.rm=TRUE)\n",
        "amt_term180 <- sum(data$Loan_Amount_Term == 180, na.rm=TRUE)\n",
        "amt_term240 <- sum(data$Loan_Amount_Term == 240, na.rm=TRUE)\n",
        "amt_term300 <- sum(data$Loan_Amount_Term == 300, na.rm=TRUE)\n",
        "amt_term360 <- sum(data$Loan_Amount_Term == 360, na.rm=TRUE)\n",
        "amt_term480 <- sum(data$Loan_Amount_Term == 480, na.rm=TRUE)\n",
        "pie(c(amt_term12, amt_term36, amt_term60, amt_term84, amt_term120, amt_term180, amt_term240, amt_term300, amt_term360, amt_term480), c(\"12\", \"36\", \"60\", \"84\", \"120\", \"180\", \"240\", \"300\", \"360\", \"480\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "6ZG7OeeSvn3G",
        "outputId": "781e09e0-ddf3-4369-9a26-d8617745bf04"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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wHajWIHKEdISMi4ceNOnDzVvu/AvuO/\nMTFj/APa4fWrV76b1vr+/EPTJk1+/PHHatWqiU4EaCvW2AFKkJaWNnny5OrVq8ekZKw6eHrI\njHm0OmgRI2Pj3qO/XnHg9IvX6jp16kyfPj0tLU10KEArMWIHaL2jR496enqmvc52nzanYdsO\nouMAn+Ti0YNei2abGRmuXbu2U6dOouMAWoYRO0CLxcXFubm5uXTqVK1Fm1WHztDqoABN2nde\n43euVuuOXbt169+/f1xcnOhEgDZhxA7QVrt27Ro1apRpMauR85Zw3SuU58n9u+tmTEyMjli0\naNHw4cNFxwG0A8UO0D7h4eHDhw8/ffZsT8/x3Ty+0jcwFJ0IyBc52Vm+G9fuXr+qXdu269ev\nt7OzE50IkDumYgEt4+XlVbNmzfCElyv2nfxy5DhaHRRM38Cwh+f4Zb4nwqKfV69efePGjaIT\nAXLHiB2gNZ4/fz5ixAi/o0f7jf+m86DhKj1+MYOu0KjVh7f94r1yYbs2bTZt2lSyZEnRiQCZ\notgB2sHPz8/Dw8OocNExi9eUr8IuX9BFkQ9D10wZkxwbs2HDhu7du4uOA8gRv/EDcpeUlDRg\nwIAuXbo2c+27dO9RWh10lq2j08KdBz/v0b9nz17u7u7JycmiEwGyw4gdIGtXrlzp27dvpqQ3\nbskPFWrUEh0HkIWQG0FrpowtpNJs3769adOmouMAMsKIHSBTarV68eLFzZs3L1+7wbK9x2h1\nwBsVP6u7fN8JpwZNW7ZsuXDhQrVaLToRIBeM2AFyFBsbO3jw4LPnzg+fvahFZ1fRcQCZunzC\nb92MiQ3r1du+fXvp0qVFxwHEY8QOkJ3jx4/XrFkzJCJ6me9xWh3wDxq17bhk99Gnz+Pr1q17\n+vRp0XEA8Sh2gIyo1erZs2d37NixYcfuC3YcKGVfTnQiQO5K2Zebv+NAnTYd27VrN2vWrJyc\nHNGJAJGYigXkIjEx0c3NzT/gwphFqxu0dhYdB9AygaeOrZ0+oWmjhr/99lvx4sVFxwHEoNgB\nshAcHPzll19mSnpTfvjF1tFJdBxAK8XHRC0Z4/E6KXHPnj3169cXHQcQgKlYQDxvb++mTZuW\nqVJj6Z6jtDrgo1mVtpnvva9CvSYtWrTYsmWL6DiAAAaiAwA6LTs7e9y4cRt+3jhoyncuAz1E\nxwG0nmGhQqMXrixXueqwYcNv3LixbNkyAwM+6aBDmIoFhElMTOzVq9fV68FT1myqUq+h6DiA\noty5emnxKPfiFhbXr1+3tLQUHQcoIEzFAmI8ePCgUaNGYRHRi3f50eqAPPf61auMtLTMzMxG\njRo9ePBAdByggFDsAAFOnjzZuHFj81K233v7WtvYiY4DKE3044crv/Zs1LDho0ePqlWr1rhx\nY3a5g46g2AEF7eeff+7YsWOTTq7Tf/rVtHAR0XEApUlPTVk8ZqiJkdGZM2fMzMx8fX3Hjh3r\n7Oy8du1a0dGAfMeSUqDgqNXqSZMm/fDjjyPmLGnl2lt0HECB1Dk5Kyd6xkU8DQsLMzIykiRJ\npVLNnj3bzs7O09MzJCRk5cqVenoMakCxKHZAAcnMzBw0aNChI0dm/rKjWoMmouMAyrR9xcLr\n58+cOHHC1tb27duHDh1avnz5Hj16REZGent7Gxsbi0oI5Ct+awEKQkpKSpcuXY6fPjtn6x5a\nHZBPzh3Ys/+Xdd9//33r1q3/+tVWrVoFBARcvXrV2dn55cuXBR8PKABsdwLku5iYmI4dO8an\npn+30duqtI3oOIAyPbp769t+3Vw6dtizZ88/3C0mJqZDhw7Z2dlHjx59Z1QPUACKHZC/7ty5\n06FDh8KlbKau9TIrwqUSQL5IjH3+Tc8OlkUKh4SEvPfOL1686Nq1a3h4+NGjRytXrlwA8YAC\nw1QskI+uXr3aokUL26qfzfzld1odkE+yMjOXjBmalZ527dq1f3P/YsWKnThxon79+k2bNr1w\n4UJ+xwMKEsUOyC/nz59v06ZN9WZfTFixztDISHQcQLE2zpv+6PaNc+fOFfnXvz4VKlTo999/\nd3V1dXZ2Zos7KAnFDsgXR44ccXZ2btLJdeyi1fr6XH4O5Jf9m9ef2r1jy5YttWrV+qAH6uvr\n//zzz56enp06dTpy5Eg+xQMKGJ83QN47cOBA7969OwwY6vb1DNFZACW7cfGc9/KFo0ePHjBg\nwEc8XKVSLV261MrKqlu3bjt27HB1dc3zhEAB0589e7boDICibNu2rX///r3HTuk1+mvRWQAl\ni37yaN7QPnVq1/rny2Dfq1mzZoUKFfL09Cxfvvxnn32WV/EAIRixA/KSl5eXh4fH0G+/d+47\nSHQWQMnSU5IXfTXYtFAhf3//T3+2KVOmFC5ceMiQIdnZ2e7u7p/+hIAoFDsgz+zcuXPYsGFD\nZsyj1QH5SqNWr548Ji4y/OHDh4aGhnnynJ6eniqVatiwYWq1eujQoXnynEDBo9gBecPHx2fA\ngAGDp81p32+w6CyAwm1bviDI/+Tx48fzdofhkSNHGhoajhgxwsjI6OMW7QHCUeyAPLBr1y43\nN7eB38zq0J9JHCB/5Z4bNnfu3DZt2uT5kw8dOlSj0QwZMsTAwKBv3755/vxAfqPYAZ9q9+7d\n/fr16zt+ake3IaKzAAr36O6tn2ZO6d69+3fffZdPL+Hh4ZGWljZw4EB9ff1evXrl06sA+YRi\nB3ySgwcP9uvXz+3rGZ3dR4jOAijci7jnCz0H2dna7N27N19faNy4cTk5OQMGDDAxMencuXO+\nvhaQtyh2wMe7ePFinz59vvQcT6sD8ltWZuaS0R5Z6WlBIQ8K4OUmTpyYnJzcq1evgwcP5sec\nL5BPKHbAR7px44aLi8vn3Xv3/GqC6CyA8m2cN/3h7eBr1679+3PDPtHs2bMzMjK6d+9++vTp\n+vXrF8yLAp+IYgd8jNDQUGdn55otWg+dMU90FkD5Dmz56dTuHZs3b/7Qc8M+0aJFixISEjp2\n7Hj+/PnKlSsX5EsDH0el0WhEZwC0TGRkZLNmzawdK03+YRPnwAL57cbFc/OHuY0cOeLHH38s\n+FfPycnp1atXYGDgxYsX7ezsCj4A8EEodsCHSUhIaNasmYGF5bc/bzcsVEh0HEDhop88mtbL\npUa1qhcvXhSVISMjw9nZOTEx8fz588WKFRMVA/g3KHbAB3j16lW7du0i4hLmbfc1NS8sOg6g\ncOkpyVN7d3qdkhQVFZVXJ0x8nKSkpJYtWxobG588edLMzExgEuCf6YkOAGgNjUYzbNiwOw9C\npq3/lVYH5Lc354b98ccfYludJEkWFhaHDh2KiYkZMGCAWq0WGwb4BxQ74N+aNm3aHt990zds\ntypdRnQWQPm2r1gQ5H/y0KFDeXtu2EezsbHx8/M7c+bM1KlTRWcB/ifWfQP/yqZNm5YtXzH9\np63lq1QTnQVQvnMH9+7btG7u3Llt27YVneVPVatW9fX1dXZ2dnBwGDlypOg4wN9gjR3wfkeO\nHOnSpcvw2Ytb9+DsSCDfhd0K/m6Aa8f27X19fUVn+Ru//PKLp6enn58fGxdDhih2wHvcu3ev\nUaNGbfu59xv/jegsgPK9iHs+pUeHYuZmYWFhorP8T19//fWmTZsuXLhQvXp10VmA/0KxA/7J\nixcvGjZsWKys45Q1m1R6rEkF8lfW69czB3wZ8ygkMjKywE6Y+AhqtdrV1fX27duXL1+2srIS\nHQf4Ex9UwP+Uk5PTv3//DLU0ZtFqWh1QADbNm/7wdrC/v7+cW50kSXp6et7e3kWKFOnVq1d2\ndrboOMCf+KwC/qdJkyadv3hp2vqtbG4CFICDWzac3PXbxo0ba9euLTrL+5mZme3bt+/27dtT\npkwRnQX4E8UO+Hvbtm374ce1k1b/XMq+nOgsgPLduHhu27L5o0aNcnd3F53l37K3t9+5c+cP\nP/zg5eUlOgvwH6yxA/5GYGBgixYtBkyZ2aG/1nzGANor5unjqT07Vq9a5dKlS6KzfLDly5d/\n++23AQEBdevWFZ0FoNgBf5GYmFinTh2HOo1GL1wpOgugfOmpKdN6d8pMfin83LCPNnjw4LNn\nz167do0LKSAcxQ74LxqNpnv37sH3Qhb6HCpkbCI6DqBwGrV60VfuNy/6h4aG2tvbi47zkdLT\n05s0aWJtbX3kyBF9fX3RcaDTWGMH/Jf58+cfO3Hy61UbaHVAAXhzbpj2tjpJkkxNTffu3Xvt\n2rXvv/9edBboOood8KezZ8/OmTNn9MKVNg4VRGcBlO/SsUP7Nq2bNWuWrM4N+zgODg6//vrr\nvHnzTp48KToLdBpTscB/PH/+vHbt2vWcOw+eOlt0FkD5Ht+9PaNf1/bO7fbt2yc6S54ZO3as\nj49PcHBwqVKlRGeBjqLYAZIkSWq1unXr1jEvU+Zt36tvoJXLtwEt8jI+dkqPDkXNTOV8bthH\nyMzMbNq0qYWFxfHjx1lsByGYigUkSZIWLVoUGPTH+OXraHVAfsvJzlo2fkRmasoff/whOkse\nK1So0M6dO4OCgpYsWSI6C3QUxQ6QgoKC5syZM3zWQmsbO9FZAOX7ec60kOvXzp07J/Nzwz6O\no6Pjhg0bZs6ceeHCBdFZoIuYioWuS0tLq1OnTpmqtcYsWiU6C6B8B71+9lo0e8uWLYMHDxad\nJR+NGDHixIkTwcHBiiyvkDNG7KDrRo8enZSROfTbeaKDAMp34+K5bUu/HzJkiLJbnSRJK1eu\nNDQ0HD9+vOgg0DmM2EGn7dmzp3fvPvO8fSvV4iwgIH/FRoZ/07Nj1UoVtfHcsI8QFBTUuHHj\n3377rUePHqKzQIdQ7KC7oqOjq1ev3mHQ8C9HjhOdBVC4N+eGRUZGGhkZiY5TQGbOnLl+/fpb\nt26x+wkKDMUOuqt79+53Hocv+G2/HrsSAPlJo1YvGuV+84J/SEhI2bJlRccpONnZ2U2bNi1e\nvLifn59KpRIdBzqBNXbQUV5eXof9/EbNX06rA/Kb98qFQWdP+vr66lSrkyTJwMDAy8vL39//\nl19+EZ0FuoJiB10UHR09ceLEvuOm2FWoJDoLoHCXjh3y3bh27ty5HTt2FJ1FgCpVqixcuHDi\nxIkRERGis0AnMBULXeTi4hIa9YxJWCC/5Z4b5tyu7f79+0VnEUatVn/++eeFCxf28/MTnQXK\nR7GDztmyZcuIkSOX7j3GcB2Qr14mxH3To0MRE+OHDx+KziLYgwcPatWq9csvv/Tr1090Figc\nxQ665dmzZ1WqVOkybHTXoV+JzgIoWdbr17MG9YgMuRcREVGsWDHRccT7/vvvV61adffuXWtr\na9FZoGQUO+iWvn37Xrp+Y+meo5wJC+Sr9d9NOr3n98DAwLp12SRSkiQpOzu7QYMGVapU8fb2\nFp0FSsbFE9Ahx44d2+njM3LuElodkK8Obd14ctdvmzZtotW9YWBgsHnzZh8fnwMHDojOAiVj\nxA66IiMjo0aNGpUafz702+9FZwGU7ObF898P6+/uPnjjxo2is8jOpEmTdu3adffuXTMzM9FZ\noEyM2EFXzJs3LzE5tc/YKaKDAEoWGxm+8mvPevXq0ur+1ty5c1Uq1YIFC0QHgWIxYgedcOfO\nndq1a49fvq5ROxfRWQDFykhLnd6nS1piXHR0tO6cG/ahdu3a5ebmduPGjcqVK4vOAgWi2EH5\nNBpNy5Yt0/UKTftpq+gsgGLp7LlhH6Fjx45ZWVknTpwQHQQKxFQslG/nzp2XLl92nz5HdBBA\nybxXLQo6e3L37t20uvdavXr1+fPn9+zZIzrI+/Xp00elUkVGRub+8bfffrO1tTUwMJg8ebLY\nYH/1TtSCZ2Bg0KhRI1Gv/gbFDgqXkZExderULkM8S9mXE50FUKxLxw75/vzjzJkzO3fuLDqL\nFnBycpowYcKECRNSU1Pz71XUavXu3bs7depUvnx5ExMTExMTR0fHAQMG3Lhx4+OeMCkpycPD\nIzU1dd68ec7Ozn97n+3bt6v+UXx8/Cd8T3g/A9EBgPy1ePHilFeZrsNHiw4CKNbju7d/+GZc\np06dZs+eLTqL1vj222+9vb0XLFiQfxdS9O3b18fHp2zZsj169ChVqlRSUlJQUNCOHTt8fX2P\nHDnSvHnzD33C0NDQjIwMd3f3adOm/fM9GzZs+L/GrkxMTD70dfFBKHZQsoiIiIuzwSIAACAA\nSURBVGXLlnnMXmxsys4CQL54mRC3aNRgmzKlDx48KDqLNjEzM1u6dOngwYOHDx9erly5PH/+\nM2fO+Pj4fP755ydPnjQw+POz/uDBg126dBk7duz169c/9DlfvXolSVLhwoXfe8/27dvT8kVh\nKhZKNmnSJFunys07dRcdBFCmnOys5eNHpCe9vHr1qugs2qdXr15169adPn16fjz53bt3JUnq\n2bPn261OkqTOnTtv27Zt6dKlarU695bnz5+PGjWqbNmyRkZGJUqU6Nat29/+12zfvn3uIN/i\nxYtVKtXIkSM/JV6/fv1UKtXLly9HjBhRsmRJU1PTRo0aBQYGpqenjx8/3sbGxtzcvEmTJn/8\n8cebh3Tv3l2lUsXExHh4eJQsWbJQoUKVK1dev379/3qJp0+furu729jYGBkZWVlZdenSJTAw\nMPdLzZs319fXj4iIePv+CQkJhoaGjRs3/pdvi5+fX926dU1MTKytrT08PF6+fPkpb0geothB\nsc6fP79r9+4hM+apVCrRWQBl+mnWNw/+uHru3LnixYuLzqJ9VCrVsmXLdu7cefHixTx/cjs7\nO0mSTpw4kZ2d/c6X3Nzc2rRpo6enJ0lSXFxcw4YNvb29+/btu3nz5okTJwYFBTVv3tzf3/+d\nR82aNSt31tjV1dXX19fT0/NT4uXuhtOzZ08bG5ujR4+uX7/+xo0bPXv27N27t7Gx8YEDB7Zu\n3Xrv3r3cy4dzH1KoUCFJkrp162ZlZeXr63vq1Cl7e/uvvvpq06ZNf33+iIiIBg0a7N69u3//\n/hs3bpw4ceIff/zRokWLgIAASZI8PDzUavWvv/769kP27NmTnZ09ePDgf/O2BAQEdOnS5dmz\nZzNnzlywYEFmZmaXLl1y31LhmIqFMmk0milTprTo7FqhRi3RWQBlOvzrptN7ft+8eTPnhn20\nRo0affnll5MmTbpw4ULe/graoUOH2rVr79+/v379+kOGDGndunWVKlX++hKzZs2Kioq6dOlS\nvXr1cm9xc3OrVq3apEmT3hmgaty4cU5OjiRJTk5O3bp1+8R4ueOITk5OM2fOlCSpdu3afn5+\nPj4+DRo0WLRokSRJdevWPX/+/OrVq69evdqkSZM3D3R0dMy9gyRJu3btKlmy5Pz58z08PN55\n/u+++y42Nnbv3r3du/9nxqZ79+41atSYPHnypUuXevbsOW7cuK1bt86YMePNQ3x8fIyNjfv0\n6fNv3pb58+fn5OTs27evfv36kiR5eHiMGjXq/Pnzn/i25AlZtEsgz+3Zs+daUFDv0V+LDgIo\n082L57cunuvu7u7u7i46i3ZbvHjxH3/84evrm7dPa2hoePbs2VGjRj148GDs2LHVqlUrUaJE\n9+7dN2/enJ6ennsfjUaza9eumjVr2traPvt/hoaGTZo0uXbt2qdcsTtnzpy/vST2nYV3rq6u\nb/7dyclJkqSuXbu+uaVSpUqSJMXExLz9kNzilcvCwqJ58+ZPnjx55z4ajWbfvn0lS5Z8u4BW\nqVKlcePGly9fTkhIMDU17du3b2ho6IULF3K/GhcXd/bs2e7du1tYWLz3bVGr1f7+/o6Ojrmt\nLtewYcM++u3KW4zYQYFycnJmzpzZwW1ISTv20wLyXu65YXXr1tm8ebPoLFqvfPnyo0aNmjx5\nsouLS+5sY14pUqTIjz/+uHjx4tOnT1+4cOH8+fOHDx/et2/f1KlTf/vttzZt2sTGxsbHx8fH\nx5cuXfqvDw8PD69aterHvXTjxo3fHmZ7450bbWxs3vx77hje27cYGhpKkvRmKjZXxYoV//oM\nz549e/tbePbsWVJSUt26dd8ZoaxUqVJAQEBISEjjxo09PDx++uknLy+vpk2bSpK0Z8+enJyc\n3N9S3vu2WFhYZGRkODg4vH27fM4RodhBgTZu3Pg0MuqbEWNFBwEUKCMtdaHnYCN9PZlMPCnA\nt99+6+XltWnTplGjRuX5k5uZmXXu3Dl3f8EXL15s37598uTJPXr0CAsLS0lJkSSpVq1aCxcu\n/OsDy5Qp89Ev2q5du39zVWxudfvnW95hamr69h/NzMwkSXrnwoW0tLQ3X3pb7k4ruV+tW7du\n7dq1fXx81qxZY2Ji4uPjY2dn17p1a0mS3vu2xMXFSZJkbGz89u3GxsYyWc9NsYPSZGRkzJ8/\nv5vHV4WLFhOdBVAajVq9atKoZ08fhYSEcBpsXilWrNjkyZPnz5/v7u7+TnHJ8xcaM2bM06dP\nly9f7u/v36xZs9zb27dvn38vmrdya9kbSUlJkiRZWlq+faO5uflf7/nmljfbtQwdOnT06NGH\nDx9u1qyZv7//tGnTcq9+eHOH//W25E5S527+8vaNMjmjlTV2UJqVK1emZWZ1GvjuWloAn27H\n6iVBZ0/u3buXc8Py1pgxY9Rq9T9s3vFBcnJyPD09O3fu/GZPk7cVLVpUkqTU1NSSJUtaWVnd\nv3//nRGv3BEpebp3797bfwwNDZUk6Z0501KlShUvXvzevXvvNK27d++qVKrcpXuSJPXv39/E\nxGTnzp07d+5Uq9W518NKkvTet6VUqVJGRkaPHz9++6s3b9789O8uT1DsoChJSUnLli3rOWpC\nIZN8/K0X0E0X/A7s2bBm1qxZLi4uorMojZmZ2dSpUxctWpQ7D/iJ9PX1Hz9+fOjQoWnTpuVe\nyvrGw4cPN2zYYGBg0LJlS0mSevbs+erVq6VLl765Q1xcXM2aNWV7NNzbyzpDQkKuXr1aqVKl\nEiVKvHM3V1fXmJiY/fv3v7klODg4MDCwVatWub1WkqSiRYu6urr6+fl5eXk1a9asQoUKb+78\nz2+LgYFBkyZNwsLC3r5weO3atXn6jX48pmKhKKtXr9Y3Nm39ZV/RQQCleXzvztrpEzp16jRr\n1izRWZRp5MiRy5cv/+GHH/Jky+KNGze2bNlyyZIlO3bscHFxKVmyZGpq6oMHD44fP56VlbVi\nxYrcMdfZs2cfPnx4wYIFMTExn3/+eXR09E8//ZSQkDB27CetUT569Oj/2rDXxcWlbdu2H/3M\nmZmZnTt37tSpk1qtXrJkiUajyd0w5R1z5sw5dOjQgAEDxo4dW6lSpSdPnqxdu9bc3HzFihVv\n383Dw8Pb2zs4OPidzfDe+7ZMmTLF39+/U6dOQ4YMsbS09Pf3T09Pt7Cw+OjvKw9R7KAcycnJ\nq1ev7jnuG4P3Lb8F8EFeJsQt+mpQmdKlODcs/xgbG0+fPn369Omenp7Fiv39EuGsrKwdO3Ys\nWbKkbdu2K1eu/Idns7OzCw4OXrdu3YEDB3x8fJKSkoyMjOzs7Nzc3Dw9Pd9sz2ZtbX3lypW5\nc+ceOnRo27Zt5ubmLVq02LVrV4MGDT7le7ly5cqVK1f+9ktWVlafUuzWr1+/du3auXPnxsfH\nV6hQwcvLq1+/fn+9W5kyZQIDA2fNmrVly5a4uLjixYu3atVq5syZVapUeftuLVu2tLe3j4+P\n79Wr19u3v/dt6dChw44dO+bPn79ixQoLC4vOnTsvX768Zs2ar1+//uhvLa+oZLLWD/h08+bN\nW7P+p7XHL1HsgDyUk501x73Pk7s3w8PDOWEiX71+/bpy5cpubm5z585950sZGRmbN29etmxZ\nfHz8iBEjJk+eXLJkSSEhRenTp8/OnTsjIiJsbW3z6jkjIiIcHR2HDh2aV6sb5YA1dlCI5OTk\nVatWuY4YS6sD8tbGudPvBV3x9/en1eU3IyOjGTNmrFmzJvdiz1wpKSmrV6+uUKHCrFmzBg0a\n9PTp02XLlulaq8snX3/9tSRJEyZMEB0kL1HsoBBr1qzRK2TcyrXP++8K4F87/OumEz7eGzdu\n5NywgjFw4EALC4t169ZJkhQXFzd79uyyZcsuXLhw2LBhDx8+nD17NvX604WFha1bt87Z2XnX\nrl3Tp09/Z9NjbccaOyhBamrqqlWrvhw9yZCNtYC8c+tSwNbFc4cMGTJkyBDRWXSFoaHhhAkT\nvv/++/Dw8K1bt9ra2i5ZsmTgwIHsGpiHbt68OXr0aCsrqwULFkydOlV0nDzGGjsowcqVK+fO\nX/jT6UDDPD2QB9BlsVER3/ToUKmCY2BgoOgsuiU9Pb1o0aIlS5ZctmxZjx499PX1RSeCNmEq\nFlovOzt79erVLoM8aHVAXslIS104cpChniogIEB0Fp1jamo6bdo0lUrVvXt3Wh0+FMUOWu/3\n339/FhvXtpeb6CCAQmjU6tWTRz97+igoKIgZQCEmTpyYnJy8Y8cO0UGgfSh20HorVqxo12cA\nJ8MCeWXH6iXXzpzg3DCBLCwshg8fvnjxYpZL4UNR7KDdjh07dvPWbU6GBfLK5eOHOTdMDsaP\nHx8WFnb06FHRQaBluHgC2q1NmzZZZkXHLflBdBBACR7fuzOjX9e2rVtxwoQc9O/fPyEhgW6H\nD0Kxgxa7fft2zZo1l+49Xr5KNdFZAK33MiHumx4dCxsbPXr0SHQWSJIkBQUF1a9f/86dO+8c\nhAX8A6ZiocV+/PHHqvUa0eqAT5eTnbVi/Mj0pBdsbiIfdevWbdiw4Q8/MCOBD0Cxg7Z6+fLl\n9u3b2/cfLDoIoAQb5864F3Tl7NmzVlZWorPgT+PGjdu6dWtiYqLoINAaFDtoqy1bthiZmjds\n0150EEDrHd72ywmf7Rs2bKhfv77oLPgvPXr0sLS03Lx5s+gg0BoUO2gljUbz008/OfcZoG9g\nKDoLoN1uXQrYumjOkCFDPDy4ulx2DAwMPD09165dq1arRWeBduDiCWilI0eOdO7S9afTgcWt\nS4rOAmix3HPDKjo6XL16VXQW/L34+HhbW9t9+/a1b88EBd6PYget1KVLlxdq/QnL14kOAmix\njLTU6X26pCXGRUVFFeJEPhnr1atXTk7Onj17RAeBFmAqFtonKirKz8/Puc9A0UEALaZRq9dM\nGfPs6aNr167R6mRu2LBhBw4ciI6OFh0EWoBiB+2zdetWa1v7KvUaig4CaLEda5ZePX3cx8en\nXLlyorPgPdq0aVOuXLlff/1VdBBoAYodtIxGo9myZUurL/uoVCrRWQBtdfmE356fVn/33Xdd\nu3YVnQXvp1Kp3N3dN27cyCUUeC/W2EHL+Pv7t27d5qczV7lsAvg4ueeGtWn1xaFDh0Rnwb/1\n7Nkze3v7I0eOtG7dWnQWyBrFDlpm0KBBd8Njpv20VXQQQCslv0j8pmdHUwO9x48fi86CD9O9\ne3djY+MdO3aIDgJZYyoW2iQ5OXn37t2tvuwjOgiglXKys5aNHZaaGM/mJtpo4MCB+/btS0pK\nEh0EskaxgzbZuXOnoYlp3ZZtRAcBtNLGudPvBV3x9/fn3DBt5OLiYmZm5uvrKzoIZI1iB23i\n7e3dtEMXA0NOmwA+mN/2zSd8vDds2FCvXj3RWfAxjIyMevTo4e3tLToIZI1iB60RHR0dEBDQ\nrFN30UEA7XPv2pWti+cMGjSIc8O0Wv/+/U+fPh0VFSU6COSLYget8fvvvxcvWbriZ3VEBwG0\nTGxUxJKxHp/VrOnl5SU6Cz5Js2bNypYt+/vvv4sOAvmi2EFr7Nixo3mn7mxfB3yQV+lpizwH\nG6qkgIAA0VnwqVQqVd++fZmNxT+g2EE7PHz48Nq1a806dRMdBNAmGo1m7fSJ0Y/Drly5Ymxs\nLDoO8oCbm9v169fv3bsnOghkimIH7eDt7W3r6FS2YhXRQQBt8vuapZeOHdq1a5ejo6PoLMgb\nVapUqVGjxu7du0UHgUxR7KAdfHx8mnPZBPAhLh49uHv9Ks4NUx5XV1c2PcH/wskT0AKhoaEV\nK1Zcfdjf1tFJdBZAOzy5f3d63y6tv2h5+PBh0VmQx27evPnZZ5+FhYUxEIu/YsQOWmDv3r2l\ny5an1QH/UsrLF0vGDC1hWfzgwYOisyDv1axZs1KlSgza4W9R7KAF9u/f36hdR9EpAO2Qk521\ndIxHcnzs9evX9fT4Ia9M3bp127t3r+gUkCP+n4fcPX/+/MqVK/VbtxcdBNAOm+Z9y7lhiufq\n6nr58uXIyEjRQSA7FDvIna+vb5FilhVr1hYdBNACR7y3HN+5be3atfXr1xedBfmofv36tra2\n+/fvFx0EskOxg9zt37+/YdsOKmaUgPe5d+2K16LZAwcOHDlypOgsyF8qlcrFxcXPz090EMgO\nH5aQtbS0tDNnztRr1U50EEDuYiPDl4wZWrNGja1bt4rOgoLQoUOHM2fOZGRkiA4CeaHYQdbO\nnDmjlqRqDRqLDgLI2qv0tEVfuRvqqS5cuCA6CwpI69at1Wq1v7+/6CCQF4odZO3YsWPV6jcu\nZGwiOgggX7nnhkU9Cr148SLnhukOMzOz5s2bHzlyRHQQyAvFDrJ27NixWs1aik4ByNrOH5Zd\nOnZo9+7dFStWFJ0FBapDhw4UO7yDYgf5evLkSWhoaG2KHfC/XT7ht2vdSs4N000dOnQIDQ0N\nCwsTHQQyQrGDfB05csSyVGnbCgxCAH/vyf27a6aMbd++/Zw5c0RngQBVqlQpV67c0aNHRQeB\njFDsIF/Hjh2r3fwL0SkAmco9N8zaypLTYHVZu3btTp06JToFZIRiB5nKycnx9/f/rOnnooMA\ncpSTnbV49JCUhDjODdNxn3/++blz59RqteggkAt+HECmgoODk5KSqtZvJDoIIEeb5n374I+r\np0+ftrS0FJ0FIn3xxReJiYm3bt0SHQRyQbGDTPn7+9s4VChqWUJ0EEB2cs8NW7VqVcOGDUVn\ngWClS5euWLHimTNnRAeBXFDsIFPnzp2rVp99iYF33QsKzD03bMyYMaKzQBZatmzJNsV4g2IH\nOdJoNAEBAczDAu+IjYrg3DC8o2XLliyzwxsUO8jRrVu3EhISKtdpIDoIICOv0tMWeQ42kDSc\nG4a3tWzZMjEx8ebNm6KDQBYodpCjc+fOlbIvZ1W6jOgggFxoNJq1M76Ofhx2+fJlzg3D23KX\n2Z0/f150EMgCxQ5yFBAQUKUuq8KBP+38cfmlowd37drl5OQkOgtkp1GjRleuXBGdArJAsYMc\nXb58uWKtOqJTAHJx5cSRXWtXzJgxg3PD8LcaNmxIsUMuih1kJzY29unTp041aosOAsjCk/t3\nV08Z4+zsPG/ePNFZIFMNGzZ8+PBhfHy86CAQj2IH2bly5YphoUL2FSuJDgKIl3tuWAnL4n5+\nfqKzQL5q1qxpYmLCoB0kih1k6OrVq47VauobGIoOAgiWk521dOyw5PhYzg3DPzM0NKxTpw7F\nDpIkGYgOALwrMDDQqSbzsID0y/ff3bt2+eLFi1ZWVqKzQO5YZodc/AoIedFoNNeuXatQo5bo\nIIBgR3/zOvb7rz/88APnhuHfaNiw4dWrVzUajeggEIxiB3l5/PhxQkICxQ467k7gxc0LZg0a\nNOirr74SnQXaoVatWi9evAgPDxcdBIJR7CAvN27cMDY1K2lXVnQQQJi46Mhl40fUrFHdy8tL\ndBZoDUdHR3Nzc86fAMUO8nLz5s2yFSurVCrRQQAxXqWnLfQcZCBpLl68KDoLtImenl61atVu\n3LghOggE4+IJyMutW7fKVqoqOgUgRu65YVEPQ+/cucO5YfhQn332GSN2YMQO8nLz5k37ipVF\npwDEeHNuWMWKFUVngfapWbMmI3ag2EFG0tPTHz58WLZiFdFBAAHenBvWrVs30VmglT777LOw\nsLC0tDTRQSASxQ4ycvv2bbVabV+JYgedk3tuWLt27Tg3DB+tRo0aGo3mzp07ooNAJIodZOTO\nnTuWpUqbF7EQHQQoUMkvEhePci9hWfzIkSOis0CLWVhYlClT5v79+6KDQCQunoCMhISE2DhU\nEJ0CKFA52VnLx49ISYwPDw/n3DB8oooVK4aGhopOAZEodpCR0NDQMuUcRacACtQv33939+ol\nzg1DnqhYsWJISIjoFBCJ3w4hI6GhoaXLlhedAig4x3ZsPfb7r6tWreLcMOQJJycnip2Oo9hB\nLjQazcOHDyl20B33ggI3L5g5YMCAMWPGiM4ChcidiuXEWF1GsYNcREVFpaWllS7nIDoIUBDi\noiOXjBlavVq1X3/9VXQWKEfFihXT0tKioqJEB4EwFDvIRUhIiL6+QUlbO9FBgHz35tywS5cu\nic4CRXFwcDA0NHzw4IHoIBCGYge5CAsLK2Fjq29gKDoIkL80Gs0PU8dHPwoLDAzk3DDkLUND\nw7Jlyz58+FB0EAjDVbGQiydPnlgzXAcd4LN2xZUTfnv37nV05Bpw5D07O7uIiAjRKSAMI3aQ\ni4iICKtSZUSnAPLXlRNHfH5cPn36dM4NQz6xt7cPDw8XnQLCUOwgFxEREZalbUSnAPJRZFjI\nD9PGt23b9vvvvxedBYrFiJ2Oo9hBLhixg7KlvHyx8KvBxS2KHD16VHQWKJmdnR0jdrqMNXaQ\nBY1GExUVZVWaYgdlysnOWjZueFLc8ydPnnBuGPKVvb19ZGSkRqNRqVSis0AAfr5AFp4/f56Z\nmcmIHZQq99ywM2fOWFtbi84ChbOzs8vMzIyNjRUdBGJQ7CALkZGRkiQVL1VadBAg7x3fue3Y\n77+uXbuWc8NQAOzt7SVJYpmdzqLYQRaePXtmbGpmal5YdBAgj90LCvzl+2/d3NxGjhwpOgt0\nQuHChU1NTRmx01kUO8hCXFxckeKWolMAeSwuOnLpWI9qVatu27ZNdBbokBIlSsTFxYlOATEo\ndpCFuLi4IsWKi04B5KXXr14tHeOhr1FfvnxZdBboFoqdLuOqWMhCfHw8I3ZQEo1G8+P08U8f\n3L1z5w7nhqGAUex0GcUOshAXF1ekGMUOyrFr7YqLRw7u3bu3YsWKorNA51DsdBlTsZCFuLg4\nC0bsoBSBJ4/u/HH5xIkTOTcMQlDsdBnFDrLAxRNQjMiwkDVTx7Vp02bZsmWis0BHUex0GcUO\nsvDy5UuzIkVEpwA+VfKLxPkjB1oVK3rs2DHRWaC7ihUrlpiYKDoFxGCNHWQhOTnZxMxcdArg\nk+RkZy0fPyIlIe4W54ZBKHNz89TUVNEpIAbFDrKQkpJibGYmOgXwSX6ZP5NzwyAHhQsXTklJ\nEZ0CYvA7JcRTq9Xp6emM2EGrnd6789iOrStXrmzRooXoLNB1hQsXTktLU6vVooNAAIodxEtL\nS9NoNMamjNhBW93/4+qGWVPc3NzGjh0rOgsgmZubazSa9PR00UEgAMUO4uVOGTBiBy0VFx25\nZMxQzg2DfBQuXFj6/x+t0DUUO4j3/8WOETton9xzw6TsrICAANFZgP8wNzeXKHa6iosnIF7u\nfEEhYxPRQYAPo9Fo1nwzNjzk3p07d3I/SgE5yP3byIWxuoliB/Fev34tSZKBoZHoIMCH2b1u\n5eXjh3fv3u3k5CQ6C/AnIyMjSZKys7NFB4EATMVCvNyfPvqG/JoBbRJ48ujvPywbP368q6ur\n6CzAfzEwMJAkKSsrS3QQCECxg3i5P3309PRFBwH+rciHobnnhq1YsUJ0FuBducWOETvdRLGD\neNnZ2fr6BiqVSnQQ4F9JTXq50HNQsSKFOTcM8qRSqfT19Sl2uonJL4iXlZXFPCy0RU5O9rJx\nw5Pinj/h3DDImIGBAcVON/FpCvFyR+xEpwD+lc3zZ96+cuHs2bOcGwY5o9jpLD5NIV52dra+\nPgvsoAXOHdhz9Dcvc3PzkSNHis4C/JOMjIyYmBjRKSAAxQ7i6evrqzUa0SmA9zMrYtG2l5vo\nFMD7hYaFiY4AMSh2EE9fXz+HKQNog7ot29Rt2UZ0CuD9zh3cW6pUKdEpIAArfyGevr6+Wp0j\nOgUAKIc6Jzt30xPoGoodxDMwMFBnU+wAIM/k5ORQ7HQTxQ7iMWIHAHlIo9Goc3IMDQ1FB4EA\nFDuIZ2BgkPtjSHQQAFACdU629P/nT0DXUOwgXu5PnxyKHQDkBXWOWpIktpHSTRQ7iGdiYiJJ\nUuarDNFBAEAJsl5nSpJkZGQkOggEoNhBPDMzM0mSMtPTRQcBACV4lZ4uSVLhwoVFB4EAFDuI\nZ25uLknSq/Q00UEAQAlyf5zm/miFrqHYQbz/FLsMRuwAIA9kpKVKFDtdRbGDeGZmZiqVihE7\nAMgTr9LTVCpV7ioX6BqKHcTT09MzMTF5lUaxA4A8kJGeZmpqqqfHR7wu4r86ZMHc3PwVF08A\nQF54lZbOPKzOothBFooWLZqWkiQ6BQAoQUZaapEiRUSngBgUO8iCpaVlyotE0SkAQAlSXiZa\nWVmJTgExKHaQBSsrq5SXL0SnAAAlSH6RWKJECdEpIAbFDrJgZWWVzIgdAOSFlBeM2Okuih1k\nwcrKiqlYAMgTyYkJFDudRbGDLFhaWjJiBwB5IpkROx1GsYMsMBULAHklOTGBNXY6i2IHWbC2\ntk5KiBedAgCUIPlFoqWlpegUEINiB1mwtbXNzEhPTWYrOwD4JGnJya/S02xsbEQHgRgUO8iC\nra2tJEkJz6JFBwEA7Rb/LEqSJDs7O9FBIAbFDrJgZWVlbGyc8CxGdBAA0G4Jz2KMjY25eEJn\nUewgCyqVysbGhmIHAJ8o4Vm0ra2tSqUSHQRiUOwgF7a2tomxz0SnAADtlvAsJndxC3QTxQ5y\nYWtryxo7APhE8THRLLDTZRQ7yIWdnV18dJToFACg3RKeRzNip8sodpALR0fHZxFPRacAAO32\nPCLcwcFBdAoIQ7GDXFSoUCEuOjI7K0t0EADQVtlZWfHRURUqVBAdBMJQ7CAXTk5O6pyc2Mhw\n0UEAQFvFRobn5GQ7OTmJDgJhKHaQizJlypiZmcU8fSw6CABoq+inj0xNTcuUKSM6CISh2EEu\nVCqVg4PDs/AnooMAgLaKefK4QoUKbGKnyyh2kJEKFSowYgcAH+1Z+BPmYXUcxQ4y4uTkFP3k\nkegUAKCtYp484soJHUexg4xUrVo1IvS+6BQAoK0iHoZUqlRJdAqIRLGDjFSvXj0x9nnKyxei\ngwCA9klNepn4/FnNmjVFB4FIFDvISNWqVfX19cMZtAOAD/f0wV19ff2qC++vLAAAIABJREFU\nVauKDgKRKHaQERMTE0dHx/AQih0AfLCnIfcrVKhgYmIiOghEothBXmrUqEGxA4CPEB5yr0aN\nGqJTQDCKHeSlevXqTMUCwEd4+uA+xQ4UO8hLjRo1nobc12g0ooMAgDbRaDQRYQ+qV68uOggE\no9hBXurUqZORmhLDbnYA8CGehT/JSEutVauW6CAQjGIHeSlfvry1tXXY7RuigwCANgm98YeV\nlZWDg4PoIBCMYgfZqVu3btitYNEpAECbhN0Krl+/vugUEI9iB9mpX79+2M3rolMAgDYJuxXc\noEED0SkgHsUOslO/fv1H927nZGeJDgIA2iEnO+vx/TuM2EGi2EGGGjRokJWZGR4aIjoIAGiH\npyH3X796RbGDRLGDDFlbW9vb24fdYjYWAP6Vh7dvlC1b1traWnQQiEexgxw1adLk/h9XRacA\nAO3w4HpQo0aNRKeALFDsIEfNmjW7e+2K6BQAoB3uXrvcokUL0SkgCxQ7yFGLFi1iI8PjY6JF\nBwEAuUt8/ux5xFOKHXJR7CBH1atXt7S0vBfEoB0AvMedq5eKFy9etWpV0UEgCxQ7yJFKpWra\ntOk9ZmMB4H3uXr3cokULPT0+0CFJFDvIVvPmze9cuyw6BQDI3d1rl5s3by46BeSCYgeZatGi\nRdTD0OTEBNFBAEC+khMToh6FscAOb1DsIFN169a1sLC4dfmC6CAAIF+3r1ywsLCoXbu26CCQ\nC4odZEpfX79Vq1bBF86KDgIA8nU94GyrVq309fVFB4FcUOwgX+3atQsOOCs6BQDI182L59q1\nayc6BWSEYgf5cnZ2Tnz+LDKMQ2MB4G9EhD2Ij4lu27at6CCQEYod5KtcuXJOTk7BF/xFBwEA\nOQo+f7ZixYoODg6ig0BGKHaQNWdn5xsUOwD4O8EX/J2dnUWngLxQ7CBr7dq1uxN46fWrV6KD\nAIC8ZGVm3r12mQV2eAfFDrLWqlUrlaS5efm86CAAIC83L53Xk6SWLVuKDgJ5odhB1szMzNq0\naXP11DHRQQBAXgJPHW3durW5ubnoIJAXih3krmvXrldPH9eo1aKDAIBcaNTqa2dOdu3aVXQQ\nyA7FDnLXpUuXlBeJITeviw4CAHLxIDgoOTG+c+fOooNAdih2kDtra+uGDRtePXVUdBAAkIvA\nU8caN25cqlQp0UEgOxQ7aIGuXbsGsswOAP7f1dPHmIfF36LYQQt07do16lFY9OOHooMAgHiR\nD0OjHz/s0qWL6CCQI4odtEDlypWrV69+wW+/6CAAIN6lY4eqVatWqVIl0UEgRxQ7aIc+ffqc\nP7xPdAoAEC/Ab3/fvn1Fp4BMUeygHfr27Rv9+OGT+3dFBwEAkZ7cvxsZFtKrVy/RQSBTFDto\nBwcHh3r16jEbC0DHBRz2bdCggZOTk+ggkCmKHbRG7969A/z2azQa0UEAQAyNRnPB7wDzsPgH\nFDtojb59+8ZHR4axUzEAXRUSHBQfE9WzZ0/RQSBfFDtojTJlyjRr1uzcwb2igwCAGBf89jdv\n3tzGxkZ0EMgXxQ7aZMCAAecP+Wa9fi06CAAUtOysrPOH97m5uYkOAlmj2EGb9OnTR5Odde3M\ncdFBAKCgXTtzPCfzFdfD4p9R7KBNzM3NXV1dT+/dKToIABS003t39uzZs0iRIqKDQNYodtAy\n7u7uwQFnE57FiA4CAAXnZXxs8Pmz7u7uooNA7ih20DKff/55+XLluIQCgE45s9fH3t6uefPm\nooNA7ih20DIqlWrgwIGn9+xgQzsAuuPMPp+hQ4eqVCrRQSB3FDton8GDBz+PeHr32mXRQQCg\nINy7duXZ08eDBg0SHQRagGIH7WNvb+/i4nL0t62igwBAQfDz3tKxY0dbW1vRQaAFDEQHAD7G\nV1995eLSKfH5s+IlS4nOAgD56EXc8ysnjhw+dFB0EGgHRuygldq1a+fo6HByl7foIACQv47v\n3F6+XNm2bduKDgLtQLGDVlKpVCNHjjy+c3tOdpboLACQX3Jysk/u8h41apSeHp/X+Ff4iwJt\n5e7u/jo9NfDUMdFBACC/XD7m9yoleeDAgaKDQGtQ7KCtihYt2qdPnyPeXqKDAPi/9u4zLIqz\nbcDwrBRpiiKiCHYsaDQaNRFjRRMrFuw1FmJigyjWGHvDErChKKhYUUBREey9YImixlgxGkFB\nShSkw+5+Pzaf8TV2wWGfvc4fHmTZHe6d5DAXz8zOIL/sC/Dv27evhYWF3INAaxB20GKjRo26\nfiHiz+u/yz0IAOS9e9ev3fjt3IgRI+QeBNpEwVVeodVat26dYWj60yJvuQcBgDzm5T7cJCd9\n/35OOMF7YMUO2s3d3f3M3tCERzFyDwIAeSkx9lHE/rBx48bJPQi0DGEH7fbtt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vsYH4ZFPmDFDuJTKBSrVq3649zpM/tC5Z4FgK6L2L/n\n9zMnVq5cSdUhPxB20AlVq1YdO3bsmtlT0p+lyD0LAN2VkZa6du7UcePG1ahRQ+5ZICYOxUJX\nZGRk1KpVq/rXLQb/PFPuWQDoqDWzf7l+6si1a9c4uw75hBU76ApjY+MVK1aEb1p758oluWcB\noIvu/nF1X8D65cuXU3XIP6zYQbf07Nnz4vVb87aF6ulp8W1XAGgdlVI5sUf7+p/Zb926Ve5Z\nIDJW7KBbFi9e/ORR9O41PnIPAkC37F636u9H0V5eXnIPAsERdtAt1tbWixcv3rZ8UXTULbln\nAaArHv4ZtXXZwsWLF1tbW8s9CwTHoVjoImdn52t//jV3y65CenpyzwJAcGqV6pd+XSpbW+3Z\ns0fuWSA+Vuygi7y9vRMf3Av1XyX3IADEt3PNyti7t318OAMEnwJhB11kbW3t6ekZsGRBTNRt\nuWcBILKHf0ZtW75o6dKltra2cs8CncChWOiu9u3b3330eNbmED4hCyA/qJTKn/t0qmprzUFY\nfDKs2EF3rV69OuHBve0rl8g9CAAxbV+1NCn6/qpVnPWBT4ewg+6ysbHx8/MLXrnk1uWLcs8C\nQDRRv18OWrF4xYoVNjY2cs8CHcKhWOi6IUOGhB08vCjkgIlZEblnASCIzPS0sV2+bduyxZo1\na+SeBbqFsIOuS0tL++KLL2xq1h05jwuHAsgbyya6Rf9+KTIyskgRfmPEJ8WhWOg6U1PTzZs3\nn9qz41TYLrlnASCCswfCTu0J2bRpE1WHT4+wA6T69etPnTrVd8bEhEcxcs8CQLslxj5c8Yv7\njBkzGjZsKPcs0EUcigUkSZKUSuU333wTk/R09uad+gYGco8DQCvl5uRM6edcpniRQ4cO6XFj\nG8iBFTtAkiRJT08vICAgLfHxhoWz5J4FgLZaP39GclzM5s2bqTrIhbAD/lGqVKktW7bs3+If\nsZ9LiQJ4b2f2he4PWL9p06YyZcrIPQt0F2EH/KtZs2bTp09fPmn0wz+j5J4FgDaJe3B/5ZRx\ns2bNatWqldyzQKdxjh3wP9RqdefOna/cvOMRGGZoZCT3OAC0QE5W1qTeTvYVyoWGhhYqxIoJ\n5MR/f8D/UCgUa9asUWWkrp4xSe5ZAGiHVdMnqtKebdiwgaqD7PhPEHiZpaXljh07IvbuCtvg\nJ/csAAq6sI1rIvbuCgoKKlGihNyzAIQd8Cr169f38/Pznz8j8uRRuWcBUHD9HnFqvccMb2/v\nBg0ayD0LIEmcYwe8gbu7++o1a+cHhZcuV0HuWQAUOPEPoyd0azt0yOCFCxfKPQvwD8IOeC2l\nUunk5PT77ah52/aYmHFrIAD/ykxP+7lXx6rlbcPDw/X19eUeB/gHh2KB19LT09u0aVNhSeX9\n8xh+BQLwnFqtXjbBzUCVs23bNqoOBQphB7yJhYXFrl27rp89udlrntyzACgoAhbP/+PsyV27\ndhUvXlzuWYD/we8ZwFvUrFlz586dbdq0KWlt07r3d3KPA0Bmh4MDdvp5h4SE1KhRQ+5ZgJex\nYge8XYsWLVasWOE3+5ffjh2UexYAcrp27vTqGROXLl3q5OQk9yzAK/DhCeBdTZw4cely79mb\nd1aozq/pgC6Kjro1uU+nUcOHz5vHuRkooAg74F2p1er+/fvvPXjIIzC8RGlruccB8En9Hf94\nUs8OLRo32rp1K3eYQIFF2AHvITMzs1WrVo/+fjpzw3aTIkXlHgfAJ5L+LGXqgK42JYofPHjQ\niLtIowAj7ID3k5SU1LRpU8m06BTfLYb8/Q7ogOzMzFnf91GnJp88eZL7hqGAYzEZeD8lSpQ4\nePBgekLcrz/9oFTmyj0OgPylUiqXjBuZEhuzd+9eqg4FH2EHvLcyZcocPHgw+sbV5ZNGq1Uq\nuccBkF/UavXKqeOiIs8fOHCgfPnyco8DvB1hB3wIOzu7AwcOXD1xeM2cKXLPAiC/bFgw67eD\n4fv27bO3t5d7FuCdEHbAB6pdu/aOHTuObg/Y7rNE7lkA5L3glYsPBPjv3LmzXr16cs8CvCvu\nPAF8uBYtWmzdurV79+76hoadBg+TexwAeWb3Op/gFV5BQUEtWrSQexbgPRB2wEfp1KnT1q1b\ne/bsqVapO7sMl3scAHkgbIPfpkVzNm7c2KlTJ7lnAd4PYQd8LGdn54CAgD59+hQ2Nm7bd5Dc\n4wD4KAcDN29YMHP9+vW9e/eWexbgvRF2QB7o1q2bSqXq27evQqFo02eg3OMA+ECHgwP8Zk5a\nu3Zt37595Z4F+BCEHZA3evTokZ6ePsTFRd/AsFX3PnKPA+C9HQzc7Dtj4po1a/r37y/3LMAH\nIuyAPDNw4ECVSjV06NDsrMx2/QbLPQ6A97B387p1c6f6+vp+9913cs8CfDjCDshLgwcPNjEx\nGTBgQOrTJz1Guss9DoB3stNvRcBiDz8/v4EDB8o9C/BRCDsgj/Xq1cvU1LRHjx7ZWZn93CfL\nPQ6Atwjx9Q5ctjAgIKBbt25yzwJ8LIVarZZ7BkBAe/fu7dq1a7MuPV2mzFEoFHKPA+AV1Gr1\n+gUzD2zxDwwM7Nixo9zjAHmAsAPyy9GjRzt27OjQrtPQaR6F9PTkHgfA/1CrVKumTzi7d3do\naGizZs3kHgfIG4QdkI8iIiI6dOhQpd5XoxetMChcWO5xAPwjJytr8biRty6c2bt371dffSX3\nOECeIeyA/HXjxo02bdoYFS85yWd90eIWco8DQEpNSZ4/YtDThw/27t1bu3ZtuccB8lIhuQcA\nBGdvb3/27FkThXJKf+fE2IdyjwPour/jH08b0FWR/uzs2bNUHcRD2AH5ztra+sSJE/YVy0/s\n0eH+zetyjwPoruioW5N6tq9Q2urUqVNly5aVexwg7xF2wKdQpEiR3bt3t2zWZNqArn+cPyP3\nOIAu+uP8mcl9Ojk2abxv375ixYrJPQ6QLwg74BMxMjLatm2by+BBM4f0PhwcIPc4gG45HBww\nc0jv7wcPDggIKMwnmSAuPjwBfGp+fn7Dhw//tteAQZNmKArxyxWQv9RqdaC35w6fJZ6enqNG\njZJ7HCB/EXaADE6ePOns7FyuRu3RnitNzIrIPQ4grMz0tCXjRt68EBEQENCuXTu5xwHyHWEH\nyCMqKsrJySlDpZjks75kGVu5xwEElBQX6zF8oCIrPTQ01N7eXu5xgE+Bw0CAPOzs7E6fPl3J\npvTE7u3/uBAh9ziAaK5fODu+a5vypSzPnz9P1UF3EHaAbCwsLPbv39+/T68ZA3uG+q+WexxA\nHHvW+04f2KNvrx779++3sODC4NAhHIoF5Ldly5bvv//+ixbfDJ/9a2FjE7nHAbRYdmbm6hmT\nIvbu8vb2Hjx4sNzjAJ8aYQcUCFeuXHF2ds6SCo1ftsa2chW5xwG0UtyD+wtGDlFnpgUHBzdo\n0EDucQAZcCgWKBA+//zzCxcu1Kpq93NvpwtHDsg9DqB9Lhw5ML5bmxqVK0RGRlJ10FmEHVBQ\nWFhYhIWFuf/008JRQ9bOnZqTnS33RIB2yM3J8feYvnDUkDFubnv27OGkOugyDsUCBc7Ro0f7\n9etnVKzEGC8f6/IV5R4HKNDiH0Z7jRn+NDZ6/fr1bdq0kXscQGas2AEFTosWLS5fvlytvO04\n59YnQnfIPQ5QcJ09EDa2yze2JcwvX75M1QESK3ZAgaVSqRYsWDBqg5GGAAAQSElEQVRlypTm\nXXoMnjyrsJGx3BMBBUhWRrrf7F9O7t4+a9ascePGFeLufIAkSYQdUMCdOXOmT58+OQo91/lL\nq3z+hdzjAAXCnSuXlk50M1QrAwICGjZsKPc4QAHCrzhAgdaoUaMrV660atp4cp/OAUsWKHNz\n5J4IkJMyNydgyYLJfTq3bNzo8uXLVB3wElbsAO0QHh7u4uJiWKSY64JlFarXkHscQAYxUbeX\nTnBNiY/18fFxdnaWexygIGLFDtAO7dq1i4yMrF3NbmLP9qH+q9UqldwTAZ+OWqUKXbdqbNfW\nNStX+P3336k64HVYsQO0zJo1a0aPHm1Tpfrw2b/aVLKTexwg3z26d3fFlLEPb9/w8vLiLmHA\nm7FiB2iZIUOGXLt2rVLpku6dWwWvXMxZdxCYMjcneOXiMZ1blbcsfvXqVaoOeCtW7ABtFRQU\nNGLECJPilsNmL6pSu67c4wB57N71ayt+cX8SG+Ph4TF06FC5xwG0Ayt2gLbq3r37H3/80bjB\nFz/37rh+/sysjHS5JwLyRlZG+rp508Z3b+tQt/atW7eoOuDdsWIHaL3w8PBhw4al5ygHTZre\n8Nv2co8DfJSzB8PXzZ1maqi/cuXKtm3byj0OoGUIO0AEaWlps2fP9vT0tG/g4DJlTpkKleSe\nCHhvj+7/6Tdr8o0LEaNHj54yZYqpqancEwHah0OxgAhMTU3nzZt37do16yLGP3VosXbOlMz0\nNLmHAt5VVmbGtuW/junoaGFY6NKlSx4eHlQd8GFYsQNEExQU5O7unpGr+m78FIc2TgqFQu6J\ngNdSq9UR+0LXL5hpYqDv6enZtWtXuScCtBthBwhIc2R28eLF5avX/G7i9Gp16sk9EfAKty5f\nXD9/xv3rv48ZM2by5Mms0gEfj7ADhBUdHT179mxfP796TVsO+nlG6XIV5J4I+Edi7MMti+ef\n2L29ffv2ixcvrly5stwTAYLgHDtAWGXLll21atW5s2dNVFmu7Zr5TB2f8neS3ENB16WmJG/6\ndc7INo0z46JPnDgRGhpK1QF5iBU7QCds37594sSJcQmJnYYMa99/SGFjE7kngs7Jykjfu9k/\nxHd56ZKWHh4enE4H5AfCDtAV2dnZvr6+c+fOTc/Kcf5h1Lc9+xsULiz3UNAJOVlZB7Zt3LFq\nmbGh/s8//zx06FBDQ0O5hwLERNgBuiU7O9vf33/atGk5kqLT4GHf9hpgwP9ikW+UuTkn9+zc\ntvxXZUbauHHjRo0aZWLCajGQjwg7QBc9e/Zs8eLFnp6ehYuYd/3BtVmnbvoGBnIPBaHk5uQc\n3xUc7LMkJ+2Zu7u7m5ubmZmZ3EMB4iPsAN315MkTT0/P5cuX6xubdBz0Y6sefQsbGcs9FLRe\nVkb6oaAtu9auzM1Id3V1HTNmTLFixeQeCtAVhB2g61JTU9esWbNgwYLUjMw2fQe1H+BiVtRc\n7qGglTLSUo9s37pj9XIDhXr48OFubm7FixeXeyhAtxB2ACRJkjIyMvz8/BYtWpT45GnrXv3b\n9h1corS13ENBa/z9OC5so9/+rRtLWhQfO3bskCFDOJcOkAVhB+BfOTk5mzZtWrRo0a3bdxxa\nt+vw3dAqtevKPRQKtDtXI/es943YH1a1it348eP79u1rwPmagHwIOwCvcOrUqfnz54eFhVWq\nUatd/yFNOnTW0+f/1viXWqW6ePxw2Ea/q2dOfv311xMmTOjQoQM3JgZkR9gBeK2bN28uWbJk\nw4YNJubFW/ce4Ojcs5illdxDQWZPkxKObt+2L8A/IyW5f//+bm5u1atXl3soAP8g7AC8xd9/\n/+3r67t69eq/HkR/2bL1tz3713JozNqMrlGrVFfPnjq4bdOFI/vL2tr++OOPLi4uFhYWcs8F\n4H8QdgDeiUqlOnLkyOrVq3fu3FnC2qZV976Ozj3NS1jKPRfy3dOkhKM7Ag8FbU54GN2iRYuh\nQ4c6Ozvr6enJPReAVyDsALyfuLi4tWvX+vr6xjx8+EVTx2adutVr/g23rxBPTnb2peOHj+0K\nunjscLmyti4uLoMGDbK25rPSQIFG2AH4ECqV6tChQxs3bgwJCVHo6X/drlOzTt2q1qnHIVpt\np1arb0X+dnxX8Jl9oaqc7C5dugwYMKBVq1aFChWSezQAb0fYAfgoqampO3bs2Lhx45EjR6xs\nyzXt2LVRmw5l7arJPRfeW0zU7VN7d5/YvT3hYbSjo2P//v27dOlSpEgRuecC8B4IOwB5IyYm\nZvPmzQEBAVeuXLGtXMWhdQeH1h3KV7OXey68xV+3bkTs3xNxICwm6nbt2rX79evXp08fGxsb\nuecC8CEIOwB57M6dO8HBwUFBQZGRkWUqVHJo49Tw23YV7T/jKG3BoVar7924FrFvz9kDYY/u\n/1m3bt1u3bp169atatWqco8G4KMQdgDyy927d4ODg4ODg3/77TeLUqXrNWv5RbNWnzdqUtiY\nm03JIysj/crpE5dOHL54/PCT+Mf169fX9FylSpXkHg1A3iDsAOS7mJiY8PDwsLCww4cPZ+fm\n1mzgUK95qy+aOpYuV0Hu0XRC3IP7F48dunj88PULEQb6+o6Oju3bt2/Xrl25cuXkHg1AHiPs\nAHw6mZmZx44d27NnT3h4+L179yytbWo7NK7VsHEth8bFS5aSezqh/B3/+NrZU7+fPXXt3Jn4\nh9EVK1Zs165d+/btmzdvbmxsLPd0APILYQdAHrdv3z58+PCRI0eOHj2alJRkW7lKrYaNP/uq\nUbW69Ym8D/M0Mf7mpQvXzp35/eypmLt3SpQo0bx5c0dHx5YtW1arxueUAZ1A2AGQmUqlunLl\niibyTp8+nZKSYmVbrnrd+lXr1Kv+xZflq1YvxE0OXkOpzH1w6+bNyAu3L1+8GflbfMyDIkWK\nNGnSxNHR0dHR8fPPP+fic4CuIewAFCBKpfKPP/44ffp0RETEmTNn7t69a2xqVvmzzyvVqFWx\nxmeVatQqU6GSLneeSql8dO/unzeu3b/xR9S1K1G/X87KSLezs3NwcHBwcGjUqNFnn33Gzb4A\nXUbYASi44uLiIiIizp8/HxkZeenSpYSEhMLGJhWq16hUo1b5ajXK2lW1rVzFzLyY3GPmo9SU\n5Id37zy4c+vejWv3rl/769b1rMyMkiVL1q1b94svvmjYsKGDg4OVlZXcYwIoKAg7AFojJiZG\nU3iRkZFXr169f/++Wq02L2FZ1q6aTcXKtnZVbSrZlbItZ2lto29gIPew702Zm5MY+ygu+q+Y\nu3ce3r0T82dUzN3byUmJCoWiQoUKderUqVu3ruZPW1tbuYcFUEARdgC0VXp6+s2bN2/evHn9\n+nXNn1FRUTk5OYpChUqUKm1lW87Kplwp27JWtuUsrEoXt7IyL1GyaHELuaeWUpOfPk2If5qU\nkBj78HFMdHxMdPzDB/Ex0X/Hx6mUSkNDQzs7O3t7++rVq9eoUaN69erVqlUzNTWVe2oA2oGw\nAyAOpVIZExNz7969+/fv3/t/9+/ff/z4cU5OjiRJBoaG5iUsLaysi1lamhUrblrU3KyouWlR\nc9MiRU2LmpsWNTc0MjItUlShUJgUNZckyayo+Vt/aGpKsiRJ6c9S1CpVZnp6RlpqWkpy2rOU\ntJTk9GcpaSkpac+Sk5MSk5OS/o6PTU5KzMnOliRJX1+/dOnSFSpUqFixYsWKFStUqKD52tbW\nVl9fP393EwBxEXYAdEJ8fPzjx48fPXoUFxcXGxsbFxeXlJT09OnTJ0+ePH36VPNFenr6K1/7\nyrxTqlQZqc9e+XxTU9NixYqZm5sX+39WVlalS5e2tra2srKysbGxsrKysrLiHmsA8hxhBwD/\nyM7OTktLS09Pz8rK0vyZkZGRmZn5hpcYGxsbGRkZGhqamprq6ekVLVrUzMzMQAvP8AMgBsIO\nAABAEFy7EgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcAACAI\nwg4AAEAQhB0AAIAgCDsAAABBEHYAAACCIOwAAAAEQdgBAAAIgrADAAAQBGEHAAAgCMIOAABA\nEIQdAACAIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAACIKwAwAAEARhBwAAIAjCDgAAQBCEHQAA\ngCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQhB0AAIAgCDsA\nAABBEHYAAACCIOwAAAAEQdgBAAAIgrADAAAQBGEHAAAgCMIOAABAEIQdAACAIAg7AAAAQRB2\nAAAAgiDsAAAABEHYAQAACIKwAwAAEARhBwAAIAjCDgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg\n7AAAAARB2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQhB0AAIAgCDsAAABBEHYAAACCIOwAAAAE\nQdgBAAAIgrADAAAQBGEHAAAgCMIOAABAEIQdAACAIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAA\nCIKwAwAAEARhBwAAIAjCDgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMA\nABAEYQcAACAIwg4AAEAQhB0AAIAgCDsAAABBEHYAAACCIOwAAAAEQdgBAAAIgrADAAAQBGEH\nAAAgCMIOAABAEIQdAACAIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAACIKwAwAAEARhBwAAIAjC\nDgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQ\nhB0AAIAgCDsAAABBEHYAAACCIOwAAAAEQdgBAAAIgrADAAAQBGEHAAAgCMIOAABAEIQdAACA\nIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAACIKwAwAAEARhBwAAIAjCDgAAQBCEHQAAgCAIOwAA\nAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQhB0AAIAgCDsAAABBEHYA\nAACCIOwAAAAEQdgBAAAIgrADAAAQBGEHAAAgCMIOAABAEIQdAACAIAg7AAAAQRB2AAAAgiDs\nAAAABEHYAQAACIKwAwAAEARhBwAAIAjCDgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB\n2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQhB0AAIAgCDsAAABBEHYAAACCIOwAAAAEQdgBAAAI\ngrADAAAQBGEHAAAgCMIOAABAEIQdAACAIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAACIKwAwAA\nEARhBwAAIAjCDgAAQBCEHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcA\nACAIwg4AAEAQhB0AAIAgCDsAAABBEHYAAACCIOwAAAAEQdgBAAAIgrADAAAQBGEHAAAgCMIO\nAABAEIQdAACAIAg7AAAAQRB2AAAAgiDsAAAABEHYAQAACIKwAwAAEARhBwAAIAjCDgAAQBCE\nHQAAgCAIOwAAAEEQdgAAAIIg7AAAAARB2AEAAAiCsAMAABAEYQcAACAIwg4AAEAQhB0AAIAg\n/g+dTj7pmpKG9wAAAABJRU5ErkJggg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "semp <- sum(data$Self_Employed == \"Yes\", na.rm=TRUE)\n",
        "emp <- sum(data$Self_Employed == \"No\", na.rm=TRUE)\n",
        "pie(c(semp, emp), c(\"Self Employed\", \"Not Self Employed\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "lVB5-ShgNLiG",
        "outputId": "a2bd6a17-393e-4266-e1f0-a83e54e723b5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Histogram of data$Loan_Amount_Term”"
            ],
            "image/png": 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DlzZkzsZQbW2FwltBKrFhRoVdhbYJE6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"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "hist(data$Loan_Amount_Term)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "MovI8VTHycIy",
        "outputId": "af223531-c900-41fa-dc74-a0d075bdb2db"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "  0   1 \n",
              " 89 475 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Credit_History)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "gFoplU_oyjCB",
        "outputId": "092e0740-340c-40b9-8682-13c2ed45b86b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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UN7l0Zj5y0W3QJIXVJC3KTu7bt37eLv7y+6RdK++uqrkydPXr161draWnQLDAvD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\nAAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "ch0 <- sum(data$Credit_History == 0, na.rm=TRUE)\n",
        "ch1 <- sum(data$Credit_History == 1, na.rm=TRUE)\n",
        "pie(c(ch0, ch1), c(\"0\", \"1\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "TA-hQlf6y1nl",
        "outputId": "823d75cd-e4c2-4209-99cb-add3914137b5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "    Rural Semiurban     Urban \n",
              "      179       233       202 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Property_Area)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "rSwpHqOAy8Pn",
        "outputId": "c1eadbf7-f04e-4e25-85c2-37808d4a61be"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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UFBwYIFC5ydnSd9N7lD/6EL95/sMnCo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7AAAASRB2AAAAkiDsAAAAJEHYAQAASIKw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\nDgAAQBKEHQAAgCQIOwAAAEn8H18pMMizIPNYAAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "rural <- sum(data$Property_Area == \"Rural\", na.rm=TRUE)\n",
        "semiurban <- sum(data$Property_Area == \"Semiurban\", na.rm=TRUE)\n",
        "urban <- sum(data$Property_Area == \"Urban\", na.rm=TRUE)\n",
        "pie(c(rural, semiurban, urban), c(\"Rural\", \"Semiurban\", \"Urban\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "bboUGEntzdQJ",
        "outputId": "11b2ed75-0100-474b-9623-337bab531c61"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\n",
              "  N   Y \n",
              "192 422 "
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "table(data$Loan_Status)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "jKzTTciAzizc",
        "outputId": "fc07f6a5-8487-407c-e903-5d8e8b347c09"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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YoV06ZNe/ny5dChQ0eOHMkd8Xg9+Z9L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\ngg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "n <- sum(data$Loan_Status == \"N\", na.rm=TRUE)\n",
        "y <- sum(data$Loan_Status == \"Y\", na.rm=TRUE)\n",
        "pie(c(y, n), c(\"Yes\", \"No\"))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "content <- read.csv(\"train_ctrUa4K.csv\")\n",
        "row.names(content) <- content$Name\n",
        "content <- content[,]"
      ],
      "metadata": {
        "id": "g9FuAmEXWrZh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_matrix <- data.matrix(content)\n"
      ],
      "metadata": {
        "id": "PAwPVgYcW2dd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "res <- cor(data_matrix, use = \"complete.obs\")\n",
        "round(res, 2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 494
        },
        "id": "7t3rC5WcXVjq",
        "outputId": "515eb495-33a9-468a-e723-9f4294351660"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A matrix: 13 × 13 of type dbl</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>Loan_ID</th><th scope=col>Gender</th><th scope=col>Married</th><th scope=col>Dependents</th><th scope=col>Education</th><th scope=col>Self_Employed</th><th scope=col>ApplicantIncome</th><th scope=col>CoapplicantIncome</th><th scope=col>LoanAmount</th><th scope=col>Loan_Amount_Term</th><th scope=col>Credit_History</th><th scope=col>Property_Area</th><th scope=col>Loan_Status</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>Loan_ID</th><td> 1.00</td><td>-0.05</td><td> 0.00</td><td> 0.05</td><td> 0.03</td><td> 0.03</td><td> 0.02</td><td>-0.01</td><td> 0.03</td><td> 0.00</td><td>-0.04</td><td>-0.17</td><td> 0.02</td></tr>\n",
              "\t<tr><th scope=row>Gender</th><td>-0.05</td><td> 1.00</td><td> 0.25</td><td> 0.12</td><td> 0.07</td><td>-0.01</td><td>-0.04</td><td> 0.13</td><td> 0.01</td><td>-0.07</td><td> 0.04</td><td> 0.00</td><td> 0.06</td></tr>\n",
              "\t<tr><th scope=row>Married</th><td> 0.00</td><td> 0.25</td><td> 1.00</td><td> 0.37</td><td> 0.02</td><td> 0.05</td><td> 0.06</td><td> 0.12</td><td> 0.17</td><td>-0.12</td><td> 0.00</td><td> 0.01</td><td> 0.08</td></tr>\n",
              "\t<tr><th scope=row>Dependents</th><td> 0.05</td><td> 0.12</td><td> 0.37</td><td> 1.00</td><td> 0.01</td><td> 0.05</td><td> 0.14</td><td> 0.00</td><td> 0.19</td><td>-0.10</td><td>-0.01</td><td> 0.00</td><td> 0.05</td></tr>\n",
              "\t<tr><th scope=row>Education</th><td> 0.03</td><td> 0.07</td><td> 0.02</td><td> 0.01</td><td> 1.00</td><td>-0.01</td><td>-0.13</td><td>-0.06</td><td>-0.17</td><td>-0.08</td><td>-0.06</td><td>-0.08</td><td>-0.08</td></tr>\n",
              "\t<tr><th scope=row>Self_Employed</th><td> 0.03</td><td>-0.01</td><td> 0.05</td><td> 0.05</td><td>-0.01</td><td> 1.00</td><td> 0.09</td><td> 0.02</td><td> 0.10</td><td>-0.03</td><td>-0.04</td><td> 0.00</td><td>-0.06</td></tr>\n",
              "\t<tr><th scope=row>ApplicantIncome</th><td> 0.02</td><td>-0.04</td><td> 0.06</td><td> 0.14</td><td>-0.13</td><td> 0.09</td><td> 1.00</td><td>-0.12</td><td> 0.57</td><td>-0.06</td><td>-0.02</td><td> 0.00</td><td>-0.01</td></tr>\n",
              "\t<tr><th scope=row>CoapplicantIncome</th><td>-0.01</td><td> 0.13</td><td> 0.12</td><td> 0.00</td><td>-0.06</td><td> 0.02</td><td>-0.12</td><td> 1.00</td><td> 0.16</td><td> 0.00</td><td>-0.01</td><td>-0.01</td><td>-0.04</td></tr>\n",
              "\t<tr><th scope=row>LoanAmount</th><td> 0.03</td><td> 0.01</td><td> 0.17</td><td> 0.19</td><td>-0.17</td><td> 0.10</td><td> 0.57</td><td> 0.16</td><td> 1.00</td><td> 0.02</td><td>-0.02</td><td>-0.07</td><td>-0.04</td></tr>\n",
              "\t<tr><th scope=row>Loan_Amount_Term</th><td> 0.00</td><td>-0.07</td><td>-0.12</td><td>-0.10</td><td>-0.08</td><td>-0.03</td><td>-0.06</td><td> 0.00</td><td> 0.02</td><td> 1.00</td><td> 0.01</td><td>-0.07</td><td>-0.03</td></tr>\n",
              "\t<tr><th scope=row>Credit_History</th><td>-0.04</td><td> 0.04</td><td> 0.00</td><td>-0.01</td><td>-0.06</td><td>-0.04</td><td>-0.02</td><td>-0.01</td><td>-0.02</td><td> 0.01</td><td> 1.00</td><td> 0.00</td><td> 0.55</td></tr>\n",
              "\t<tr><th scope=row>Property_Area</th><td>-0.17</td><td> 0.00</td><td> 0.01</td><td> 0.00</td><td>-0.08</td><td> 0.00</td><td> 0.00</td><td>-0.01</td><td>-0.07</td><td>-0.07</td><td> 0.00</td><td> 1.00</td><td> 0.04</td></tr>\n",
              "\t<tr><th scope=row>Loan_Status</th><td> 0.02</td><td> 0.06</td><td> 0.08</td><td> 0.05</td><td>-0.08</td><td>-0.06</td><td>-0.01</td><td>-0.04</td><td>-0.04</td><td>-0.03</td><td> 0.55</td><td> 0.04</td><td> 1.00</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": "\nA matrix: 13 × 13 of type dbl\n\n| <!--/--> | Loan_ID | Gender | Married | Dependents | Education | Self_Employed | ApplicantIncome | CoapplicantIncome | LoanAmount | Loan_Amount_Term | Credit_History | Property_Area | Loan_Status |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| Loan_ID |  1.00 | -0.05 |  0.00 |  0.05 |  0.03 |  0.03 |  0.02 | -0.01 |  0.03 |  0.00 | -0.04 | -0.17 |  0.02 |\n| Gender | -0.05 |  1.00 |  0.25 |  0.12 |  0.07 | -0.01 | -0.04 |  0.13 |  0.01 | -0.07 |  0.04 |  0.00 |  0.06 |\n| Married |  0.00 |  0.25 |  1.00 |  0.37 |  0.02 |  0.05 |  0.06 |  0.12 |  0.17 | -0.12 |  0.00 |  0.01 |  0.08 |\n| Dependents |  0.05 |  0.12 |  0.37 |  1.00 |  0.01 |  0.05 |  0.14 |  0.00 |  0.19 | -0.10 | -0.01 |  0.00 |  0.05 |\n| Education |  0.03 |  0.07 |  0.02 |  0.01 |  1.00 | -0.01 | -0.13 | -0.06 | -0.17 | -0.08 | -0.06 | -0.08 | -0.08 |\n| Self_Employed |  0.03 | -0.01 |  0.05 |  0.05 | -0.01 |  1.00 |  0.09 |  0.02 |  0.10 | -0.03 | -0.04 |  0.00 | -0.06 |\n| ApplicantIncome |  0.02 | -0.04 |  0.06 |  0.14 | -0.13 |  0.09 |  1.00 | -0.12 |  0.57 | -0.06 | -0.02 |  0.00 | -0.01 |\n| CoapplicantIncome | -0.01 |  0.13 |  0.12 |  0.00 | -0.06 |  0.02 | -0.12 |  1.00 |  0.16 |  0.00 | -0.01 | -0.01 | -0.04 |\n| LoanAmount |  0.03 |  0.01 |  0.17 |  0.19 | -0.17 |  0.10 |  0.57 |  0.16 |  1.00 |  0.02 | -0.02 | -0.07 | -0.04 |\n| Loan_Amount_Term |  0.00 | -0.07 | -0.12 | -0.10 | -0.08 | -0.03 | -0.06 |  0.00 |  0.02 |  1.00 |  0.01 | -0.07 | -0.03 |\n| Credit_History | -0.04 |  0.04 |  0.00 | -0.01 | -0.06 | -0.04 | -0.02 | -0.01 | -0.02 |  0.01 |  1.00 |  0.00 |  0.55 |\n| Property_Area | -0.17 |  0.00 |  0.01 |  0.00 | -0.08 |  0.00 |  0.00 | -0.01 | -0.07 | -0.07 |  0.00 |  1.00 |  0.04 |\n| Loan_Status |  0.02 |  0.06 |  0.08 |  0.05 | -0.08 | -0.06 | -0.01 | -0.04 | -0.04 | -0.03 |  0.55 |  0.04 |  1.00 |\n\n",
            "text/latex": "A matrix: 13 × 13 of type dbl\n\\begin{tabular}{r|lllllllllllll}\n  & Loan\\_ID & Gender & Married & Dependents & Education & Self\\_Employed & ApplicantIncome & CoapplicantIncome & LoanAmount & Loan\\_Amount\\_Term & Credit\\_History & Property\\_Area & Loan\\_Status\\\\\n\\hline\n\tLoan\\_ID &  1.00 & -0.05 &  0.00 &  0.05 &  0.03 &  0.03 &  0.02 & -0.01 &  0.03 &  0.00 & -0.04 & -0.17 &  0.02\\\\\n\tGender & -0.05 &  1.00 &  0.25 &  0.12 &  0.07 & -0.01 & -0.04 &  0.13 &  0.01 & -0.07 &  0.04 &  0.00 &  0.06\\\\\n\tMarried &  0.00 &  0.25 &  1.00 &  0.37 &  0.02 &  0.05 &  0.06 &  0.12 &  0.17 & -0.12 &  0.00 &  0.01 &  0.08\\\\\n\tDependents &  0.05 &  0.12 &  0.37 &  1.00 &  0.01 &  0.05 &  0.14 &  0.00 &  0.19 & -0.10 & -0.01 &  0.00 &  0.05\\\\\n\tEducation &  0.03 &  0.07 &  0.02 &  0.01 &  1.00 & -0.01 & -0.13 & -0.06 & -0.17 & -0.08 & -0.06 & -0.08 & -0.08\\\\\n\tSelf\\_Employed &  0.03 & -0.01 &  0.05 &  0.05 & -0.01 &  1.00 &  0.09 &  0.02 &  0.10 & -0.03 & -0.04 &  0.00 & -0.06\\\\\n\tApplicantIncome &  0.02 & -0.04 &  0.06 &  0.14 & -0.13 &  0.09 &  1.00 & -0.12 &  0.57 & -0.06 & -0.02 &  0.00 & -0.01\\\\\n\tCoapplicantIncome & -0.01 &  0.13 &  0.12 &  0.00 & -0.06 &  0.02 & -0.12 &  1.00 &  0.16 &  0.00 & -0.01 & -0.01 & -0.04\\\\\n\tLoanAmount &  0.03 &  0.01 &  0.17 &  0.19 & -0.17 &  0.10 &  0.57 &  0.16 &  1.00 &  0.02 & -0.02 & -0.07 & -0.04\\\\\n\tLoan\\_Amount\\_Term &  0.00 & -0.07 & -0.12 & -0.10 & -0.08 & -0.03 & -0.06 &  0.00 &  0.02 &  1.00 &  0.01 & -0.07 & -0.03\\\\\n\tCredit\\_History & -0.04 &  0.04 &  0.00 & -0.01 & -0.06 & -0.04 & -0.02 & -0.01 & -0.02 &  0.01 &  1.00 &  0.00 &  0.55\\\\\n\tProperty\\_Area & -0.17 &  0.00 &  0.01 &  0.00 & -0.08 &  0.00 &  0.00 & -0.01 & -0.07 & -0.07 &  0.00 &  1.00 &  0.04\\\\\n\tLoan\\_Status &  0.02 &  0.06 &  0.08 &  0.05 & -0.08 & -0.06 & -0.01 & -0.04 & -0.04 & -0.03 &  0.55 &  0.04 &  1.00\\\\\n\\end{tabular}\n",
            "text/plain": [
              "                  Loan_ID Gender Married Dependents Education Self_Employed\n",
              "Loan_ID            1.00   -0.05   0.00    0.05       0.03      0.03        \n",
              "Gender            -0.05    1.00   0.25    0.12       0.07     -0.01        \n",
              "Married            0.00    0.25   1.00    0.37       0.02      0.05        \n",
              "Dependents         0.05    0.12   0.37    1.00       0.01      0.05        \n",
              "Education          0.03    0.07   0.02    0.01       1.00     -0.01        \n",
              "Self_Employed      0.03   -0.01   0.05    0.05      -0.01      1.00        \n",
              "ApplicantIncome    0.02   -0.04   0.06    0.14      -0.13      0.09        \n",
              "CoapplicantIncome -0.01    0.13   0.12    0.00      -0.06      0.02        \n",
              "LoanAmount         0.03    0.01   0.17    0.19      -0.17      0.10        \n",
              "Loan_Amount_Term   0.00   -0.07  -0.12   -0.10      -0.08     -0.03        \n",
              "Credit_History    -0.04    0.04   0.00   -0.01      -0.06     -0.04        \n",
              "Property_Area     -0.17    0.00   0.01    0.00      -0.08      0.00        \n",
              "Loan_Status        0.02    0.06   0.08    0.05      -0.08     -0.06        \n",
              "                  ApplicantIncome CoapplicantIncome LoanAmount Loan_Amount_Term\n",
              "Loan_ID            0.02           -0.01              0.03       0.00           \n",
              "Gender            -0.04            0.13              0.01      -0.07           \n",
              "Married            0.06            0.12              0.17      -0.12           \n",
              "Dependents         0.14            0.00              0.19      -0.10           \n",
              "Education         -0.13           -0.06             -0.17      -0.08           \n",
              "Self_Employed      0.09            0.02              0.10      -0.03           \n",
              "ApplicantIncome    1.00           -0.12              0.57      -0.06           \n",
              "CoapplicantIncome -0.12            1.00              0.16       0.00           \n",
              "LoanAmount         0.57            0.16              1.00       0.02           \n",
              "Loan_Amount_Term  -0.06            0.00              0.02       1.00           \n",
              "Credit_History    -0.02           -0.01             -0.02       0.01           \n",
              "Property_Area      0.00           -0.01             -0.07      -0.07           \n",
              "Loan_Status       -0.01           -0.04             -0.04      -0.03           \n",
              "                  Credit_History Property_Area Loan_Status\n",
              "Loan_ID           -0.04          -0.17          0.02      \n",
              "Gender             0.04           0.00          0.06      \n",
              "Married            0.00           0.01          0.08      \n",
              "Dependents        -0.01           0.00          0.05      \n",
              "Education         -0.06          -0.08         -0.08      \n",
              "Self_Employed     -0.04           0.00         -0.06      \n",
              "ApplicantIncome   -0.02           0.00         -0.01      \n",
              "CoapplicantIncome -0.01          -0.01         -0.04      \n",
              "LoanAmount        -0.02          -0.07         -0.04      \n",
              "Loan_Amount_Term   0.01          -0.07         -0.03      \n",
              "Credit_History     1.00           0.00          0.55      \n",
              "Property_Area      0.00           1.00          0.04      \n",
              "Loan_Status        0.55           0.04          1.00      "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "content$Gender = ifelse(content$Gender == \"Male\", 0, 1)"
      ],
      "metadata": {
        "id": "LveMwUr8nwjt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "d = content[, c( 'ApplicantIncome', 'Gender')]\n",
        "# d = cbind(gender, income)\n",
        "boxplot(ApplicantIncome ~ Gender, data = content, xlab = \"Gender\", ylab = \"Income\", main = \"\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "8WcHgQ1rnzQ-",
        "outputId": "8f641f28-20b4-4394-b9ef-460657eac52a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “”"
            ],
            "image/png": 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TxCgmE8h1T15pN/Sar9iuXtVEnplOnT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\ngJAAAYQECCAkQAAhAQL+P6SVim/U8vccAAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "d = content[, c( 'LoanAmount', 'Gender')]\n",
        "# d = cbind(gender, income)\n",
        "boxplot(LoanAmount ~ Gender, data = content, xlab = \"Gender\", ylab = \"Loan Amount\", main = \"\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "dNQwmX6dogPW",
        "outputId": "9e44d88d-13d9-41e6-837e-202bd5f4ed5e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “”"
            ],
            "image/png": 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lMPZHYdN7Zr5oO653DC05CiV+peUJkX\nXtNH5f7DZqGRIW1QC/Kbn3pq8/wF/Izk0OelV1xR+rnuKRzxPqQuuWsafn0mcJXNQiND2pm2\nsuaFOXNeqHmdq3b+43lIX6lboscXHGmz0MiQrN4TY7fX9tY7BzTwPKT1KrY3elrIZqGZIS1N\nv7/6nnuq70tfqnsSeM7zkOpyZ0ePx7a2WWhmSNatsRdb3ap7DnjP25BGrar4+uZjI0+3fdx8\nqM1CM0N6N5B28tChJ6cF3tU9CTznbUgxT1vWY83T7B5tZobUOrAucrMuYPfFFqnJ05B+f9f0\n4jEX9F9uWfOPfN5uoZEh1aqzYgcDFc8j+Y6mDxrbXm/720aGtELdHzu4X63UOwm8xyf2iXlP\nzYkdzFIf6p0E3iMkOYETYrc/DOidAxoQkpwTYt/b3a+66p4EniMkOdubqfaDB7dXzdgh5D+E\nJKjujJBSoTNsX7OI1ERIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAAB\nhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQkqSK20eM\nuL1C9xTQgJAE3RMqvPbawtA9uueA9whJzvPpCyM3j6bbfqwnUhIhyflxcez2+lP1zgENCEnM\njkDjqXwjsFPvJPAeIYnZoNbGDtaqSr2TwHuEJKY246XYwZLMWr2TwHuEJOf8oeHITXjI+bon\ngecISc5HLa6usqyqq1v8Tfck8BwhCXrz6FDXrqFjDv6MwniEJGnvivnzV+zVPQU0ICRAACEB\nAggJEOA2pJVbGg/eeVpknhhCgmHchqQWNx7ceZjIPDGEBMO4CqliyRJ125KoslOzBaciJBjG\nVUiz1XcMF5yKkGAYd9/aVT6nrpgdVfr0HsGpCAmGcfsz0nlvHdx9w+uWlZUtXx9nFSHBMN5e\n/q6a0i72fWDH23fZrSMkGMZtSOFFQ7p3jYl/x8rOqkvR9NLSaaPyVbcqm4WEBMO4DWmuUtm5\nMfHvOC60qPGobn6g2GYhIcEwbkM66ux1id8xb2zT8cgONgsJCYZxG1Lo7YO4Y2hm0/GMDJuF\nhATDuP6KdDBX7QpGNB0P62SzkJBgGLchTb3uIO5YHJi7O3a04zZVYrPQ0JDqH+idm9v7gXrd\nc8B7bkPafvbol9ZURMW/Y3WhyhlQNHnSmP7Zqq9dKmaGtGdoq1ueffbmVkMln5uGGVxvWm2S\nyN82r3swsjTU66E6u3VmhjSnbfQfk4q2c3RPAs+5DWnUmHHfSuzONZ+Wl1fEe7sqI0MKF9wV\nO7irQOsc0MHrF/al8BahLer9V4tOOaXo1feV3ZPNSElsERKzWV2ZPry0dHj6lWqz7lngNbch\nDdinb/w7pvYWofoWGX+O3P45owXX7XxH7GJDTn78O6b4FqHWbbZGbra2aa17EnjObUh7o3b+\n7YZ+W+Pf0XaL0J5HHtznMhND2qo6d316/fqnunZW23TPAq+J/Yx007Xx72i7ReifPzh6nzYm\nPhQr1bsTmiuVPeFdtVH3LPCaWEhvJfCtXWpvEdrbfLFV/49/1FtlLXizVd8RC2lpAm9+kuJb\nhC7vHd3SsKf3FbongefchlQd89Vr3RN4YV+KbxH6Z/tzPqiv/+DsvHhPkyH1yG0RWpjI35bS\nW4Ssiv6qeXPVP4Fdh0g1rt/8JOaCia8keOfU3SIUsX7JEr4c+ZKe9/7eWvKx7e8bGxL8SiCk\nr/+y7O3qg/sTvlDP2/4+IcEwrkNa2TPyQ09gwEcJ3HHfRvFRapDtbnFCgmHchvROZvD0cZOv\n6hlo+UkCd9yPzUJCgmHchjT0qNhPO39tNyr+HX8a7P5S9Gr539WT1XbfDRISDOM2pMNnNR7M\naJ/APVd1D0z8xkrhn5F2lZfbvj4EqcptSOmPNh4sCCVy171zmuU/nbIhbRoZVCp46Sbdc8B7\nbkPKv7nx4MYjE7vzPwaooetTM6TNR5+6dOvWpace/ZXuSeA5tyEVtXg23HATLms+PtG7/751\ni+kpGdI13XZGbnb+6Brdk8BzbkP6rJ3KO3PomXnqiC8Svv/mS1UqhlSX+8STgwsKBj/5RCte\nIes7rp9HWj8mVynVenzlwfwJL05ZY/v7Roa0SQ3Jvm7BgonZQxU/JfmOwM6GcGWF9AvZjAyp\nWuV8ELn9IEcd5EYPmE/PXrt4jAzJCp0buz03oQuYSCmuQ6p78+knYsRmMjSkatWSr0i+5Tak\n1Z0O5i2LE2VkSJGfkSY9+sh12UP4GcmZ8MJB+fmDFoZ1z+GE25B6tSq+7+EYuaHMDKku98kn\nBnfsOPiJJ1rZvmoRB1A3ovn1jz9+ffORJp4+tyE1Xyw3SxMjQ7ImdItuD9rVjeeRHJnX+m+R\nm78dNk/3JA64Dal9udwsTcwMaXPnnq9s3brs1M68Y7EjR5fGbkuP1juHI25D+snNB1zmgpkh\nWRtHpCmVNoJ3tXOkSr0XO/iriRdr3Ia0c+glf3h1ZZTcUKaG1HA6Vq/eqXsGU21Sjc/SrzHx\nYo3rF/Z14KodRNS3ejx28PhhBm6xchvSqVkjbp0eIzYTIfnTxJN2RG52nDhR9yQOuA0pK5G3\nsztopoa04e6rr757g+4pTPX1sT2WbNnyYo9jv9Y9iQOuXyH7ntwsTQwNaUGzY0eNOrbZAt1z\nmGrzZSGlQpcZedHTbUjj75CbpYmZIS1L/3XYssK/Tk/0zTLx72rffz/em4cmKdfv/T3wumVr\nKqLkhjI0pD6NT8Re00fvHNBA7r2/fX/Vbmfa67GDP6fxBii+4zakUWP2veuj3FBmhrRBrY0d\nrFVcb/AdudcjJf5S8/iMDGl3aFnsYGlot95J4D2hkPY+e15QYJpvGRmSdc4lsdtLztE7BzQQ\nCWndLUcodZLIPDFmhrQ664adDT8q3ZB1SDby+sK6555bp3sGZ9yHVPvkwIAKXrxCaqIIM0Oy\nlrZv1rFjs7yluucw1Sd9VG6u6pPAu8gnH7chrflZG6XaJ/RxfQeBkPzos7ZD1jQ8os5r97nu\nSRxwFdKuR05XKvuKVz9VT4kOZWhIfGvnzui+0U+D33v6aN2TOOAqpFwV6PvwNsuqIKSIs7+9\n2HC23jkMtTf72djB4uZ79U7ihKuQVNrk6H4GQorg8rc7larxh6NPlIEvjXQV0g0NPx/1fngr\nIUXxhKw729S7sYN31Da9kzjh7mJD7eP9G35Iuvw3hNRgF1uE3Dnx57HbaSfqncMR15e/105p\n+LKkxst+komRIbFp1aVHmi2P3Cxv9ojuSRwQeEJ292NnKJV51ftCE0WYGRIvo3DpxuCwWbOG\nBW/UPYcTMluEPvnZ4ez+5oV9rr0+4bTTJryuewpHpDat7n6sn/th9jE0JGvD3RN4qbk/8WkU\ngABCAgQQEiCAkAABhAQIICRJ79947rk3Sj6hBlO4DSm8aEj3rjFyQ5ka0qzgGTfeeEZwlu45\n4D23Ic1VKjs3Rm4oQ0N6KiP6qWuLM4R3HsIAbkM66uxD8Rp7M0M6eWrsdurJeueABm5DCr0t\nN0sTI0Part6KHfxF7dA7Cbzn+ivSW3KzNDEypEq1dlXxwIHFqz5RlbpngdfchjT1OrlZmhgZ\n0p6s0cGzbr31rODorD26Z4HX3Ia0/ezRL/Em+jGnpj0fuXk+rafuSeA53kRfzvFZl5bdd1/Z\npZnH654EnuNN9MVsUz/PUKGQyvi5idPDHbGdDTsk3/nFyJAqVfbVrz3yyGvjs7nY4D9iIT12\nhOtZmhgZ0p7gj8OR2/CPgwa+LxvccR3S1/dOKW5wzZE5YjMZGlJtWrf6jcuWbazvlmboxzfC\nObchfda28VJD+i/khjIzpA0qp73KzFTtc/jWzn/chnRZzq+Xq9+8dNORLyV23/C6ZWVly9fH\nWWVkSDsCrXJUXp7KaRXYqXsWeM1tSB1vsmoiW2Pea/1GAvesmtIu9vWr4+2276FoZEhWm7xl\nw7t0Gf5KXhvdk8BzrvfaPdTwR/y54eDnA+LfsbKz6lI0vbR02qh81a3KZqGRIe3NCgRaZ2a2\nDgSy6nTPAq+5Dan1HZbV4vcNB08k8DKKcaFFjUd18wPFNguNDGmjCqgjzj03r+HGwDeBhztu\nQxp25GvWaac0POyvbhf/jnljm45HdrBZaGRIW1XWi5f/6EeXv5iltuqeBV5zG9I7WT2s36kO\nF3ZXl8W/Y2hm0/GMDJuFRob0jep6ZPYpp2Qf1dXET1OAO66fR1p9nxW+uZkKnP91/DsWjGg6\nHtbJZqGRIa1RakTD2NsvUcrIT0GFGzI7G2o+S+iDTIoDcxs/gmvHbarEZqGRIW1QbUKXTpt2\naagNn4/kPwIhff2XZW9XJ3TH6kKVM6Bo8qQx/bNVX7tUjAxpl8o/N12p9HPzVY3uWeA11yGt\n7Bl5Xigw4KOE/rZ53YOR5aFeD9leITYypA1Ktbhr/fq7Wii+IvmP64sNmcHTx02+qmegZYI/\nF9R8Wl5eEW8vmpEh7QykZ6sWLVR2eoBP7PMdtyENPerj6O1f241K6L4pvEWoPv2MwQ1fb4OD\nz0iv1z0LvOY2pMO/fTfEGe0TuGdKbxHarALB0dOnjw4G1Gbds8BrbkNKf7TxYEEo/h1Te4vQ\nFpWRcfyYMcdnZCi7/zakJLch5d/ceHDjkfHvmNpbhKzQuR+P6d79yk/OSeDfFKQYtyEVtXg2\n8rLQcFnz8fHvaLtFqPZ3D+5zmYkhfaNatG71X//VqnULtgj5j+sX9rVTeWcOPTNPHfFF/Dva\nbhFaf8LR+7QxcZPNRpWWVfLsszdmpbFp1X9cP4+0fkyuUqr1+EReFJraW4T2pp/+QJ/c3N4P\nnJ7Oyygc2v3ee7t1z+CMwM6GcGVFgv8Cp/YWoZrA8dHnx2qPTzP0waDb5tGRnSGjjbzmKfYu\nQq/OjX/H1N4itEG163dHSckd/dqzs8GRr445ZUlV1ZIexySw/znpiIVUnMg7rab0FqFdaVND\nKi1NhaamsbPBiWtPir7XxY6TJuqexAFvQ7JSeYuQ1S1txpfLl385I6277kmMVNfq8djB460M\n3BnieUgRdWtW2e+PNjOkkwPzGh4B9fMChbonMdImtcbasWrVDmuN2qR7loPnbUhvXtLtgnKr\n4kSlcubbrTMypJrgLc0Lhg8vaHFLOhcbHKhSyy5JCwTSLlmmEntVTlLxNKS3QyqkWq7r0/yy\ni1qoP9ksNDKkDWrt5gcmTXpg81ouNjhS0LrXK9u2vdKztd0zI8nK05CGhMrqvjzp8uBKy1rb\nfKDNQiNDqgmuiB28FuSFfU6cFlwduVkdPE33JA64Cmn6d/RMIKTDL2/4ZbnqFzkuOsxmoZEh\nWf2vit0W9dc7h6Hqck9rfv1jj/2kee9cA5/QdhWS2k/8O4amN/yyQ10bOb4l3WahmSG9nj6n\n4RFQNzv9dd2TGGmTWvOHAW3bDvjD3313sWHhfuLfsfOVkV9zb4r8OtLu9UtmhmQtapl//vn5\nLRfFX4n/VK2WDAsEg4FhL/r6YkMixmWu/PbwrdDFNgsNDcna8tuf/ey3W3RPYarOrU5/vabm\n9dNbddY9iQOehlRxWKDx5UuXh9LftVloakhwo1fwncjNO/672HDQ1gycFjs4qcNzdusIyYfq\nWvbNnvj7309s1q+l3y42OBfniRZC8qGN6uM/DunU6bw/fuy7iw2HjL6QZijNZmj6D9evWpXH\nDlarb/RO4gQh7W/TMncGDXL5Bxj4j7GU4xpfQD3zOL1zOEJIsoqKdE9grvktYzsbWtruw0xS\nhCSLkJyrH5s17sEHx2WODeuexAFCkkVIbiy+qEuXixbrnsIRQpI1PoF3JUMKIiRZm3x8scDX\nCAkQQEiAAEICBBCSrFtv1T0BtCAkWVz+9ilCkkVIbrxyZY8eV76iewpHCEkWITkXLk4fceed\nI9LtPjkraRGSLEJy7jfNo2928Xrz3+qexAFCksXOBud+OH3XszNnPrtr+gm6J3GAkGSxs8Gx\nrerevJw+fXLy7jXxEw8JCUlio8qYusuydk7NNPETDwkJSWJvsE/soHeQ92wQQkg+tDtwwp7I\n7Z4TTPzEQ0KSxc4GxzaoNoPeq69/b1BbEz+EgJBkcfnbsV1pT5ypmjVTZz5h4iceEpIsQnKu\nzzXWly+//KU14XTdkzhASLIIyblX0u8NW1b43nQTNwkRkixCcuGRZsdceukx2Y/onsMJQpLF\nzgY3Ku+ZMOGeSt1TOEJIstjZ4FOEBAggJEAAIQECCEkWOxt8ipBkcfnbpwhJFiH5FCHJIiSf\nIiRZhORThCSLnQ0+RUiy2NngU4QECCAkQAAhAQIISRY7G9z4YMQJJ4z4QPcUjhCSLC5/u3CN\nCnXoEFLX6J7DCUKSRUjO3aku2mtZey9Ud+qexAFCkkVIzrX8Yez2+JZ653CEkGQRkmNb1D2x\ng7vVFr2TOEFIstjZ4Nhf1cuxg5fVX/VO4gQhyWJng2Nb1dzYwf/waRRSzA0Jzh3eMXbbsY3e\nORwhJCSLBapXww9HW3qqR3VP4gAhIWnckRbIzQ2kzdQ9hxNehxRet6ysbPn6OKvMDYmdDW58\nXTJgQMnXuqdwxNuQqqa0U1Edb7f9wAFzQ+Lyt095GlJlZ9WlaHpp6bRR+apblc1CQoJhPA1p\nXGhR41Hd/ECxzUJCMlW4yp0tW1z+AWFN/+GehpQ3tul4ZAebhYRkqpuUZjdp+g/3NKTQd67H\nzMiwWWhuSH7f2bB1tTtDh7r8A3Q9l+tpSAUjmo6HdbJZaG5I7Gxwx9iv6J6GVByY2/h51Ttu\nUyU2C80NCe4QUiKqC1XOgKLJk8b0z1Z97VIhJL8ipMT+tnndg5GfCEO9HqqzW0dIfnWNkS+P\ntTRsEar5tLy8ojbOInNDYmeDO1sN3PgdxRYhWcZ+awJ32CIki5B8ii1CsgjJnbCunQlusUVI\nFiG589Of6p7AoeTZIlRzz5x9LjQ2JL/vbHDL2H+IkmeL0Jc9e+zT0diQ2NngDiElwgdbhOAO\nISWCLUKIg5ASwRYhxMHOhsT+tpTfIsTOBnfY2ZCoFN8iZOy3JnBH29txVX1m85uEBMN4G9IH\ngwtOnx/7pq7E7k8hJL9iZ0Mi3shU2SF1RnRzECHhe7CzIRHnhRaHd88L/XiHlbIhsbPBHWP/\nIfI0pA6XR35dnjG4LmVDYtCC9x4AAAxtSURBVGeDO4SUiNBt0ZtH1fUpGxLcIaREHHV+7PZm\nVUpI+D6ElIjrA/fuidyGx6j//gkh4T+xsyER/+qoBkYPwtcrlZohsbPBHXY2JOTr6/678eiZ\nY1IzJGO/NYE7fNCYLELyKUKSRUjusLNBFCH5FTsbRJkbEjsb3DH2H6JUC2nRJXoNHap5gEXx\nz1EyIyRRzkMq6jLW17qY+kBsREiiXIQ07CNfG2bqA7ERIYkiJKdMD4mdDaIIySnTQ2JngyhC\ncsr0kIxFSKmFkDQhpNRiekjsbBBFSE6ZHhI7G0QRklOmh8Tlb1GE5BQhaUJIqYWQNCGk1EJI\nmhBSajE9JHY2iCIkp0wPiZ0NogjJKdNDMhYhpRZC0oSQUovpIbGzQRQhOWV6SOxsEEVITpke\nEpe/RRGSU4SkCSGlFkLShJBSCyFpQkipxfSQ2NkgipCcMj0kdjaIIiSnTA/JWISUWtyGVLPO\n52ocnjhCSi1uQ7pO+dx1Dk8cIaUWtyEVnbXE185yev4IKbW4Donz5wwhpRZCcoeQGvFAcHfm\nOX8OTxwhpRZCcoeQGvFAcHfmOX8OTxwhpRZCcoeQGvFAcHfmOX8OT1zKhdRpuK91IiRXCKlR\nke5nxnUjJFcIqVGR7geyboTkCiE1KtL9QNaNkFwhpEbsFXN35gnJ4YlLuZB4ILjC+XN44ggp\ntRCSO4TUiAeCuzPP+XN44ggptRCSO4TUiAeCuzPP+XN44ggptRCSO8aEFF63rKxs+fo4qwjJ\nKUJyx5CQqqa0iz1t2PH2XXbrCMkp3rPBHTPes6Gys+pSNL20dNqofNWtymYhITnlOiSt2zKS\ngBEhjQstajyqmx8otllISE4RkktGhJQ3tul4ZAebhYTkFCG5ZERIoZlNxzMybBYSklOuQ+L1\nXM54GlLBiKbjYZ1sFhKSU1y1c8eMq3bFgbm7Y0c7blMlNgsJySlCcseMkKoLVc6AosmTxvTP\nVn3tUiEkpwjJHTNCsmrndQ9GfqIL9Xqozm4dITlFSO4YElKDmk/Lyytq4ywiJKcIyR1jQmKL\n0KFFSO4YEpIHW4RanaBVfr7ev78VIbliRkgebBFaPUevHj00D7Da4YlrREgOT1yqbRHSzdiP\nt29ESA5PXPJsEdo1r+mf1QuNDWnxYt0TuENIDk9c8mwR2tC7xz4d1TanfwdcISSHJy7VtgjB\nHUJyeOJSbYsQ3CEkhycu1bYI6fbSS7oncIeQHJ64VNsipBtX7cxmSEjWId8ipJvxIeUP0qp7\nd71/f74xIX3rXxU2v0lIurw8Qa/jjtM8wMsOT5y2kErs/hRC8itjzx8hyTL2gZAkfvUr3RM4\nREiyTN/ZAIc8DanHd+SlZkjwKU9DSkvL3CdISEghnoZUktN0qS5Fv7WDO2vX6p7AIU9D2nPy\nKXu+PU7RkEzf2aDb2LHx1yQlby82rGl2w7eHKRoSV+3cMfb8eXzVbuuWb49WzLZZRkh+Zez5\nS7UPGtPN2AdCkjD2/BGSLGMfCEnC2PNHSLKMfSAkCXY2iDI3JHY2+BQhAQIICRBASEgm7GwQ\nZW5I7Gxwh50NoswNiat27hh7/ghJlrEPhCRh7PkjJFnGPhCShLHnj5BkGftASBLGnj9CkmXs\nAyFJsLNBlLkhsbPBpwgJEEBIgABCQjJhZ4Moc0NiZ4M77GwQZW5IXLVzx9jzR0iyjH0gJAlj\nzx8hyTL2gZAkjD1/hCTL2AdCkjD2/BGSLGMfCEmCnQ2izA2JnQ0+RUiAAEICBBASkgk7G0SZ\nGxI7G9xhZ4Moc0Piqp07xp4/QpJl7AMhSRh7/ghJlrEPhCRh7PkjJFnGPhCShLHnj5BkGftA\nSBLsbBBlbkjsbPApQgIEEBIggJCQTNjZIMrckNjZ4A47G0SZGxJX7dwx9vwRkixjHwhJwtjz\nR0iyjH0gJAljzx8hyTL2gSBk7YPu9O7t8g/QdbGCkGT5PaS7jnbn8MNd/gF3afoPJyRZ7Gzw\nKUICBBASIICQAAGEJIudDT5FSLL8ftXOtwhJFiH5FCHJIiSfIiRZhORThLS/lya4c9xxLv8A\nLlaYiZD2t/gSd3r3dvkHsDPCTISE5FG/esGC1fW6p3CEkJA0yk9UnTqpE8t1z+EEISFZfJI7\neqNlbRyda+L7NhASksVFg8KRm/pBF+uexAFCQpLYk/VC7OD5rD16J3GCkJAkKlXjt3SfqEq9\nkzhBSEgS29VbsYO/BHboncQJQkKyKJwau72hUO8cjngdUnjdsrKy5evjrCIkP3oqoyxyU5bx\ntO5JHPA2pKop7VRUx9t32a0jJF+aHew3dWq/4GzdczjhaUiVnVWXoumlpdNG5atuVTYLCcmf\nPigZPLjkA91TOOJpSONCixqP6uYHim0WEhIM42lIed95h/SRHf7tN3feOWefCwkJZvE0pNDM\npuMZGf/2m5XnDNynm6px+ncAOngaUsGIpuNhnWwWvqlqnf4dgA6ehlQcmLs7drTjNlVis5CQ\nYBhPQ6ouVDkDiiZPGtM/W/W1+ymIkGAYb59Hqp3XPRh5GinU66E6u3WEBMN4vkWo5tPy8op4\nmRASDJOce+0ICYYhJEAAIQECCAkQQEiAAEICBBASIICQAAGEBAhIzpBWKcAwqw76YX7oQ7Le\nX22oc/othAv9ztH9/0Gn3j/4R7kHIRmLDxpzx1fnj5AOzFcPhEPAV+ePkA7MVw+EQ8BX54+Q\nDsxXD4RDwFfnj5AOzFcPhEPAV+ePkA7MVw+EQ8BX54+QDsxXD4RDwFfnj5AOzFcPhEPAV+eP\nkA7MVw+EQ8BX54+QDsxXD4RDwFfnj5AObMIE3ROYzVfnj5AOrMru02oQl6/OHyEBAggJEEBI\ngABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEdSHVxQeiI\ncZW6xzDXnpvSeuiewTuEdAC1herimWNDnf30Kk9RawpzCAnWPPU/Db/+UU3RPYihtjY7pSKT\nkNA9Z3fk5th2Yd2TmGnLlD0WIaEmOCB6W6TWaZ7EYISET1XsTdmmq2WaJzEYIaFcTYrezlVl\nmicxGCGhXE2O3paqxZonMRghoUKNid5OU6/oHcRkhITa9P7R21Hqn5onMRghweqZvbPh1/r8\nDroHMRghwXpIzWj49X71C92DGIyQYNX1VcN+cWngpJ26BzHUipKSkmBewy//0j2JNwjpQLbf\nUBA6ctIW3WOYarZqVKF7Em8QEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQI\nICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQIICRAACEBAggJEEBIgABCAgQQEiCAkAABhAQI\nICRAACEBAggJEEBIgABCAgQQEiCAkFJFsKfuCXyNkJJa+JmLjsrM7DT27fhLCUkrQkpmVQNU\ni6GTi05Vgdlx1xKSVoSUxMJnqZHRT4N+t4P6U7zFhKQVISWxP6nT6mNHq65eEbnZdF3HUJth\n7zYcjVLbbyzIOGpeuOH4fwuz2o6rjobUtGCk2jww6zldk/sPISWxS/7t69BXBbklC2cdldkQ\n1Rh19rVvvTlI/c6yVgbzZz18ed9Qz/0WXKFGnzvrI02D+xAhJbGOge37/e+J6asafl2fc4pl\njVOjGg7XqSGWdY6KfAW6TvXcb8FYNahew8i+RUhJLLPVfv8z3KZwY8TZantDSC9F/k/Z3a36\nZsdEjt5rCGn/BY9pmNi/CCmJZbeM3vRREdXWJvWtvzd0sibyW7ldrS/VWZGjmoaQ9l+wWuPk\n/kNISexYFb1mN/eaa645piGkCtV9SUx1QycVkd9qCOlTNTS6ONDz+xbAI4SUxIrUwm8PR0a/\nInXf91tNIX0R+4q0PfoV6T8WwCOElMTeUF12Nh5GQrLaZFVHjr+yvhvS3oxjI0dvRi42/OcC\neISQktkVqu/nkdvdd2fnNCQ1Ud3S8D++yhvy3ZCs/tGrdqOjV+3+YwE8QkjJbPflKmPgddcO\nzlGFkaeENndUVy2Y1TG0dL+QXgy0u2nukDNze37fAniEkJLba5d3ymrR5YrnwtH/tXFih/RW\n579j7ReS9eRJGW3HVnc4+fsWwCOEBAggJEAAIQECCAkQQEiAAEICBBASIICQAAGEBAggJEAA\nIQECCAkQQEiAAEICBBASIICQAAGEBAggJEAAIQECCAkQQEiAAEICBBASIICQAAGEBAggJEAA\nIQECCAkQQEiAAEICBBASIOD/A7mf0C/oJpL9AAAAAElFTkSuQmCC"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "RBHaqf3bp44Z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot(x = content$Loan_Amount_Term,y = content$LoanAmount,\n",
        "   xlab = \"Loan_Amount_Term\",\n",
        "   ylab = \"LoanAmount\",\t \n",
        "   main = \"Loan_Amount_Term vs LoanAmount\",\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "MyyNx7ZrW8Gt",
        "outputId": "3777a75c-366f-4e4d-b6ef-4a00f42debfd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “Loan_Amount_Term vs LoanAmount”"
            ],
            "image/png": 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EgADCBIAAwgSAAMIEgADCBIAAwgSAAM\nIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMqB2krEPrVq5cf7SQuRAk0Bl1\ng3R+VCQ5lJlyTWk+BAl0RtUgnYiniv2SZ8yY0COGap1XmBFBAp1RNUgDrctdrYy3hSSFGREk\n0BlVgxQ1ILfdrbTCjAgS6IyqQbJOzW1PsinMiCCBzqgapLiuue0OZRVmRJBAZ1QNUpIw87qz\ndWUijVGYEUECnVE1SKl1KLh5v+HD+iYGUBOlqCBIoDPqHkdKn5Vglg8jWRvOcXMbzlwIEuiM\n6kOE0g6kpBxML2QmBAl0BkOENCdrxaBGHZKP8y5DbRuHJrYevY93FV7DECGtudYmoPuLI2qE\nfMG7EFVlDbG0Tx7T2Pou70K8hSFCWvN4/J/SY9bzAUd4V6Km10K3ypMF5k28K/EShghpzL/m\nbx3TrPojOFeipsySbzgbj7XhW4jXtDNEKGPN8hyPGzdIa4Jdt/p9uT7fQlS1n1ybzStD+Bbi\nNe0METpSsliOALrk7Xvo3f+VcjXeqcK1DnXtzP6FbzBn8a3EWxgipDH/s1xwNp5pzbcQVZ0S\nUpyN9+J4luEDDBHSmBvRUxzTf8Pf41yJqhr3dEzSajzDuRBvYYiQ1iy3vCit5mytXv8G70rU\n9JP/E6dE8ffmpU/zrsRLGCKkOcujTGVDhG7neNehrs33UOlwSjzMuw5vYYiQ9lzftmBtYWM/\n7j6Zu/7vk/28i/Aej8txZfy6pZDlxNhBAh1SN0hbhkkPi0pKK3e1vleaD0ECnVE1SBttQVni\nJxTUZWhLk32nwowIEuiMqkFKjDwoivFxJ6TmNv/2CjMiSKAzqgYp5FlRvECzHe3HwxRmRJBA\nZ1QNUuALonhd+NTRnuynMCOCBDqjapAaVbwqivc/Kzev16qlMCOCBDqjapA+ozrf3EyJXnj1\nxrZm9L7CjAgS6Iy6u7/nBpJ/1Tgym0kYqTTKF0ECnVH5gOypma3jgu3hdZ9OUZwNQQKdwY3G\nABhAkAAYQJAAGECQABhAkEATshZ1KF+9x0beZXgNQQItSH8kaOjct7pbJvAuxFsIEmjBhOgD\n8uRr22relXgJQQINuFHsA2djaCLfQryGIIEG7KOTzsbaQL6FeA1BAg1IoYvOxnoLLhDJEIJk\nMOfMrsXwvxX5FuI1BAm04KGHHJc8vxCv1912CBJowR/F26fcuLquVnW9XvQdQQJN+D2RrCZz\n77O86/AWggQacWbDNr1+HYkIEgATCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMI\nEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIA\nAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAANq\nBynr0LqVK9cfLWQuBAl0Rt0gnR8VSQ5lplxTmg9BAp1RNUgn4qliv+QZMyb0iKFa5xVmRJBA\nZ1QN0kDrclcr420hSWFGBAl0RtUgRQ3IbXcrrTAjggQ6o2qQrFNz25NsCjMiSKAzqgYprmtu\nu0NZhRkRJNAZVYOUJMy87mxdmUhjFGZEkEBnVA1Sah0Kbt5v+LC+iQHURCkqCBLojLrHkdJn\nJZjlw0jWhnMylOZDkEBnVB8ilHYgJeVgeiEzIUigMxgiBNrw9aCGzZ7+hXcVXsMQIdCCzAHW\n/0yb2NzyX96FeAtDhEALphfbKU+WmL/jXYmXMEQINCAj8u0rn09/Y2NG/9a8S/GSdoYI3Vy1\nPMfjCJKx/EHzitkiws33zArmXYqXtDNE6K+YYjkCECRj2UkmU/UB3UtbA8xZvGvxDoYIgQac\nJvMn0iRzohDAuxQvYYgQaMAxquCYXvOzcK7EWxgipD2nPk5+6wedruF4aTX59zsqirubhpFO\n/+EYIqQ5r/qVaFrdct9fvOtQ0ypaUp1KhFDrZyiTdy3ewRAhrXnLb6G0LB19sMIV3pWo6Cgl\nZe1dvvYvsa4f71K8xONyXOk/bTisPIeBg3Qt7G3H9ErpGZwrUVVp82rpMfMloSPvSrykapBe\n3CA/vldMWrmr+7PSjAYO0jr7VWdjbCLfQtT1jclUZ3CfctbAI7wr8ZKqQXLsqfuc7J2eaESh\nfyrMaOAgLYp1Nd6tzLUOtX0S6hcRYSm3k3cd3lI/SBVD90mPnwr9FWY0cJC+CLjhbEy6n28h\naru0auqr397kXYXXVA/SaRrvaHcspTCjgYN0wf6JY3qz6gTOlcCdUD1IR2mRoz3BqjCjgYMk\njovYKj1e6xtxmnclKjv9ynzFc2u0TfUgZYROc7QHFFeY0chByhgs3Pd45xKlf+JdiLpW+8kH\nGCMO8a7DW+oGqceOg2fGVZB3S/0e2F5hRiMHSRR3vNjrqQVGOook+YQsg39d104w/cO7Ei+p\nGySnFaK4ONCk9BfX2EEyIj/LBXmyhcrzrsRLqgZpwevJSX07Jq4XxbdLfaY0I4JkML/SMGej\nisC3EK9xutHYZeURVQiSwbxMe52NwaQ4CFO7cMc+0IA3aLOz0avoF66igSCBBpymVs5GpJlv\nIV5DkEALStLn8uS57EDpDoIEWnDUQrGPtChO4bwL8RaCBJpwOcFCZOvMuwyvIUgADCBIAAwg\nSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgA\nDCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSAAMIEgADCBIAAwgSKANu194tOcrx3lX\n4TUECTRhgun+4Y9XCVjKuw5vIUigBe8HfCU9Zr1q1evN3BEk0ICs0tOdjS4d+RbiNQQJNOAg\nHXE2lhfjWof3ECTQgB3Zv/CNpiy+lXgLQQIN+Id+dTbml+JbiNcQJNCCeoMdk5v1n+RciLcQ\nJNCCTdbxV0TxZOcSej2ShCCBJnwRbU+4x1zzN951eAtBAm1IWzf7/a2ZvKvwGoIEwACCBMAA\nggTAAIIEwACCBMAAggTAgK9B2nzO1di+gkk9TggS6IyvQaJVrsarLIftIkigMz4F6eBXX9HE\nrxxW1g/w6LVZh9atXLn+aCFzIUigMz4FaRrl8R8PXnl+VKRz5jJTrinNhyCBzvi2andiDfWZ\n5jBjxY3CX3ginir2S54xY0KPGKp1XmFGBAl0xtdtpHY/3sELB1qXu1oZbwtJCjMiSKAzqu7+\njhqQ2+5WWmFGBAl0xtcgZS1/OKGaU+EvtE7NbU+yKcyIIIHO+BqkmUQBoU6FvzCua267Q1mF\nGREk0BlfgxTb+pDnL0wSZl53tq5MpDEKMyJIhpM+496g8AeX8C7Da74GybrtDl6YWoeCm/cb\nPqxvYgA1UYoKgmQ0l++PmvzFihH+A3V6ESHfv5HuZK+dmD4rwSwfRrI2nJOhNB+CZDRPlzsp\nT3YEfMS7Ei/5GqTnht7hi9MOpKQcTC9kJgTJYNKCPnY2nruPbyFe8zVIl1v3/HrfQQePXosh\nQuDGb3R6da/aDQf/9KU/71K85POg1VwevBJDhMCtn+k/fr1fm9bWPMiq040kX4PUo+/AbIW/\nEEOEwL2L5tBf5OmnpjjOlXhL1ZENGCIE7t20l3dsN5/wr8C7FC9pZ4jQjYXv5+iFIBnL7xTd\n8PMThz+KqxLEuxQv+Rqk5jmaFP5CxSFCf1cqlyOCLt1xVaBjKbS/h50o9NkvzQbdRsrZ1RAc\nU/gLMUQI3Dtj2i7e3P+XKL5VjncpXvI1SDcdru55tunFwl+IIUJQgGYdHd9EV+4ZzbsSLzHb\nRhrrwf04MEQICvBLcI/9Ysa2hhWVduZqGbMg/ejBqh2GCEFBdtWlELvQ4QTvOrzFLEjfenbx\nEwwRggIc+mzdSd41eM/XIKU6nd6Y4MGJfTkujvld8XkECXSG3RChRXfQwzH6TPF5BAl0xueL\nnzh1HPKdBy/MGU3Ug1opDilCkEBnVB3ZQLdQmBFBAp1hEKQzW9dtS/XohSPMCV87Nqn20rJU\npZcgSKAzPgdpcwP520Vo7tFddHckCEMuiNhGugtc3PabB5cENQ5fg7Tdbm48cHj/BkLIH568\n9OYr/jErECTd+7259NfT76krvOvQDl+D1D7WuSN7V2QPz178Z3NqfxRB0rc9YQ9vvXZmRfn7\nr/OuRDN8DVL4y67GpJKevnxB8aBkBEnXEh/JlCcnI2fxrkQzfA2SJfuqLx9aPX79v90JQdKz\n48IuZ2NSPWZ9ZsxpGVu+05fM+lObr0GKGedqjC51Bz18OWqf4vMIkqZ9b7rpbKwKY9VlWuuw\nEYvn9reOYtWh2nwNUr+g1fL496yVgYOY1YQgadw2uupsLPV4fb4wY2KPyJON9k9Y9agyX4N0\nJJKimrVvFkXRx9gVhSBp22W/1c7GgLaMekwPdW0iPO3Bidaa5PNxpKN9Q4mo+CCm498RJG0b\nUt7x6/7S8hWjDvfSKWfjcw9PItAcBiMbsk4cZD38HUHStsuNI0Yvm9PHMpFVh7vo3NsPRsS1\nW/udxaDXbCgaCJLG3XizeXSFRz0ZqOyZ85Y6xccsXzjY1qQSsz7V5XOQMrasWOrErCYEyXjK\n+x2RJ18IXTgX4i1fg7Sz7J1csthTCJLBXA8KafnD1fNrq0Qa9SL6DcOS3pnrxK4oBMlo9tD2\nNgKRbdDHRt3ZELiKXS25ECSD2UUXxEvbd18XvzPqRfRLprCrJReCZDCplk3OxquV+RbiNV+D\n9NS4AmfzAYJkNB0SHaOOzsS+yLsSL/kapKvtu/zfhs0O7IpCkAzncMmGQ/r0e6J8vau8K/GS\nzyf2lcZeO2BgvCCfaG3/mHcd3vI1SPX9uj6f7MSsJgTJeBbZll3buTftBfsvvCvxkq9B8ruT\ny9l5DEEymvjJzml7ox6QDf+ZXS25ECSDOUR/OhtLw/kW4jVfgzSoSPayIEgGsyP7F77RZNDj\nSKkthq7bd9CBXVEIktEco73OxodRfAvxGrtrf2OvHXivpvPe3JlNBhQyo1b5GqQefXMu6M2u\nKIMH6eYvH393mncRKvvK8kq6KF7oG3aYdyVeYnc+Ek41Z2RtHJW0mft7cCvRu8my0MCysbZy\nP/Guw1uMgnRzdTszg2qyGTlIqy3jTos319/T+CbvSlSFIEkOjY8mqsGkHicDB+lm7POO6T/F\n5nGuRFVYtRPTl7UQyPzoJlYVyQwcpM0W1+2In2rDtxB11cje2dCfcyHe8jVI+0ZGEJW8o9v1\necDAQVqcfaHNd6pwrUNdBt/9fW1hY6KAPhsOEOPL+hk4SKtDXEckp93LtxBVGfyAbCgJTeZe\nEsWDCBIzJ00bnI1GT/MtRFWHjT1EiEzDHeMZECSG+t5zVJ685MdyqIjmlTP0oNVnpe2j++de\nRJBYupwYMvD18fUDVvIuRFWLbMukxwyjnkaRviRR2kjqPQ9BYihjUY/aLUfrdTewt2ZaqvXp\nUjpM+XY/Gubz7u/9o6SvJRrEdkiLoYNkUIdeHTDkvXO8q/AagwOy1xc/QGTvv5tRRTIECXSG\nzRChP0aGY/Q3GBmrQavXFzf1vZgcCBLoDO5GAcCAr0HKWv5wQjUndkUhSKA3vgZpJlFAqBO7\nohAkA9oyouUjz+v3ILSvQYptfYhdMTkQJKPJSjI9NG5kfbtuzx3xNUjWbexqyYUgGc3s4P/J\nk/ctLK98rSafv5F+ZFdLLgTJYDKjX3c2erXjW4jXfA3Sc0PZ1ZILQTKY/fS3s7GC5aa2mnwN\n0uXWPb/Gde3ARzvp8sahia1H79tgyPORRFzXDpg4KXSxtE8e09jaqzTvUryE69qBFpS1bZUn\nc4XOvCvxErORDVdO+lxLLgTJYDKLW4eseuP9FQ8FNONdipeYBWlxtM+15EKQDGY/jTOTzUKB\nE0J4l+Iln4N05s1RSZInSgUzqwlBMpydZB29ad6SDZ3CzAbd2XCkhGtXg2Uyu6IQJKM5Rc5t\no5tlWf49VpOvQeoV/NZ6mvf12FJfs6sJQTKcf6it+PfXG8+mxQbxLsVLvgapzFgxjX4UxZ+L\n/8CuKATJaHaQPZL8rabICFMm71q84/NYuzlSF99LjReae/TarEPrVq5cf7SQuRAkgzlIAcFU\nOpyCS4bxLsVLvgap+IuiGLRAaiz1ZGzH+VGRzi2qMlOuKc2HIBlMll+VtY/EV+m5Oagi71K8\n5GuQOpTaKN5XT1rsH48s/IUn4qliv+QZMyb0iKFa5xVmRJAM5oxgNhW3+RcXhFjepXjJ1yBt\n96srfkClOyVQr8JfONC63NXKeFtIUpgRQTKYFDJRmfYtwkkw6jaSuPMdMWucPwmPnCn8hVF5\nbhDaTWlQFYJkMHso/POu1eoMWms28S7FS2xGNqQdUdzkyWadmtueZFOYEUEymBRqGh7SsLb9\nnhiBdyleYhCkM1vXbUv16IVxXXPbHcoqzIggGcxyoqeui+K5RCKDjmwQNzeQ98IJzX/z4IVJ\nwszrztaViTRGYUYEyWA2UEzAYxPHdzQHGzVI2+3mxgOH928ghPxR+AtT61Bw837Dh/VNDKAm\nSlFBkAzmd6rZyERk6xps1G2k9rG/O6a7Int48m6zEszyF5i14ZwMpfkQJIPZQRQ+78SfU2yC\nYNBvpPCXXY1JJT17cdqBlJSD6YXMhCAZzCGyBFCoP/mZA3iX4iVfg2T5yNX40OrRazFECNxI\nFbrJq3bWnlWMej5SzDhXY3Qpd7PmgyFC4NbPZLL3nzShk8lkMeiqXb+g1fK/PGtl4KDCX4gh\nQuDebxRoThjUMz7ArHR4Uct8PrEvkqKatW8WRdHHCn8hhgiBe5eFJ37qUb3e48drGfW6duLR\nvqHSqlrxQSc8eKHiEKH0D97P0QtBMpZ9FBFUokWj4GirH+9SvMRgZEPWiYMeXkFIcYjQ0arl\nckTQpTuuCnQshYTgSV+sGGaxGPWaDTk2zCz8hRgiBO6dpW4z6waEJS6uaNRrNuRI8uBKqxgi\nBO79TQ0fNhH5DYoM5F2Kl1QNEoYIgXs7SAgf+PQz3e02o177O4cnQcIQIXDvCJU2kUkgv2Cj\njmzI4VGQRAwRAndSyfTW0W++Pz7UZNTLceXwNEiyjH070hRnQJAMZheZPrq47efLYwWs2nkS\npC1danVMEQ9WJwp+W2k+BCZnaYAAACAASURBVMlgvqO+Jnmd3/6IIc+QTc6jgQdB2mYlK4Uc\nahTYq3MQrVWYEUEymK0U1HTEwCFPVw4z5Il9dIvCX/iwdWXG8Rq9zZtFcX9gC4UZESSDOUL2\nw/L0C8HOuxQv+RSkRbco/IXhvaWH9dRUbvcrpjAjgmQw5ym6+OiPP3zcVsyop1HcEWuy9HCF\nnpTb4y0KMyJIBrOLLL2bFItu1dFu+CFCnoh/TH4MHSs/dlM6o9bYQbr07ewl+3gXoa69NMpE\n8tCG5w1/HMkTA+2bs5s/Wh9VmNHQQfogzF4jhtqe4l2HmtJDApuPHfbM6OrhjXiX4iVVg3Sw\nmOA6oba31fKTwoxGDtJC6+vporinXs3rvCtRUzm/P+XJZ8J/eFfiJVWDJO5rMcHZqFF6jdJ8\nBg5SeokZjun5km9wrkRN58wNwkZMSO5nedCod6Pw0j/KTxs4SButrlOxRikdH7jbpNDGQPkQ\nSvQao16zoWgYOEj/l31fk3crc61DXftIEFrMfbkOWQx/GgVTBg7SZ0GucfEvNuRbiKpuCILj\nEm2fEILEkoGDdNb6mWOaWXs050rUdID8D8rTbwVDjrUrMgYOkvh0qT3S482kkOO8K1HRTGoa\nPHz+Oz0stUjxRDXtQpC0Jv0/1nZjBpWL2Mi7EDXNou0L28dX7ba+H4LEkpGDJIrfjGjT67Wz\nvKtQ1VHqfPWrGW99nxlr1LtRFA1jB8mIwoTwwHrVrVGk110sCBJowTyiYiVLBpHwJ+9KvIQg\ngRYklHfc+FGIG8y7Ei8hSKABxynsZ/H0ZXG5KZx3KV5CkEADttN/nY22Rr1jX9FAkAzmG9r6\nboWA0BqbnsMBWZYQJIPZScWcF/4IxzcSSwiSwZwWiJz/wzUbWEKQDCZD+jIKuy/BnwgHZFlC\nkAzmQ6J7ywWGVIn35KpumoQggQZ0oXDnNpIVY+1YQpAMpiNRTIvY8q0CiTJ51+IdBAk04L9E\ngQPfnfWoGUFiCkEymAVEpdYvXbnCjm0kphAkg5mYewn5wu6dpVEIEmjAa9kxEvCNxBKCZDAp\n5F9RIDI1ErCNxBKCZDB/EMWXN1mrF8MBWaYQJIPZSSYSbBYis4BvJIYQJIPZTyY7CQL5CX68\nS/ESggQacEkwCfKQVZMlmHcpXkKQQAN+JRIade5Uw0SGv6s5UwiSwWwgk8mfhADpSwlBYghB\nMpiPKdAuH0Wy2RAklhAkg3mLhMQt11I/j8M3ElMIksEsJ3PZlg0atygmIEgsIUgGs5oEwUZk\nN+EbiSkEyWA+lraPpI0kPwGnUTCFIBnMTySlqHgxK+H+SEwhSAazhyzRpmIhdA8hSCwhSFr3\n1RNNHxp7gFl3/yNz/NgJE58JwehvphAkbcvoY+s0ZXRD+4esOtxAde1BJISY6uACkSwhSNqW\nHPGzPHnbsoNRh79Sh0QrUUDveDOCxBCCpGnXQxY4G526Murxqk0If/ePXck2S01GPaoNQYI7\ntpNSnY2FpVh1WcFWgkwmqiB0YdWjyhAkuGMbTa49AmtYXan7kt3mPLEvFN9ILCFImnaI9jsb\nM6sz6nE3UdlygrVaGGEbiSUESdtqOW9QeaX8C4w6/JXKSBtK6aJoxRAhlhAkbfvelnRGFH9p\nVPECow4XUpKzUQ6X42IJQdK478pR6WL00HFW/U2m8ufl6V4bLqLPEoKkdTdTFq08xK67NRQb\nWb9S9XqBJfCNxBKCZDSCnznYZA4xmXDHPpYQJKNJIIt8qrmJxvKuxEsIEmhARph8LS7p/+YH\neZfiJbWDlHVo3cqV648WMheCZDC/k1+I1W43xwoW3qV4Sd0gnR8V6bzpQJkp15TmQ5AM5isy\nTb1+I+t8HwuOI3ngRDxV7Jc8Y8aEHjFU67zCjAiSwcyhhyZXt/g3mF8c5yN5YKB1uauV8baQ\npDAjgmQw88jfLK+pmCzY/e2BqAG57W6lFWZEkAxmo3yLMX+bnCV8IxXOOjW3PcmmMCOCZDB7\n5SA5r6PPuxQvqRqkuDzngXUoqzAjgsRamra34b+VvoqCK5aTL1vMuxQvqRqkJGHmdWfrykQa\nozAjgsTUuaTypsD7lvEuQ8FEomImInMxwlg7D6TWoeDm/YYP65sYQE2UooIgsXQsvuq7W758\n1q60e4ez0WSnmLaJYYIJu789erdZCY6dM9aGcxT/8CBILD3cyHHQ7n/WL3hXUqCZZN4yvd8T\nb63EJYs9lXYgJeVgeiEzIUgMHRO2Oxt9O/AtRMEyoph7SkRVDkaQPIQhQqr7ys+1bM4vx7cQ\nBespB+9SvIQhQne9LwJcjQVKO0r52p2TI1wg0gMYIsTDYfrV2XiyDd9CFFyQEhQWERko4Nrf\nnsAQIS4SH7opT3b7LS9sTm6Wk7m4yd9PqIBVO08oDhFKe+OVHJ0QJIYORDb69M8dM0J7aXet\nqRkFmYLLl7WbrHSTdy3e0c4QoeMN6uYogyCxdKxHCFGFNzQ8iq01mUrKp/WVFugG71q8gyFC\nxnDsEu8KFK2RtpGqNWwYj712HsEQIXDvL+nbyHEaBYLkCQwRAve+zz2OpN0NOUUYIgQaMA8H\nZO8UhggV5t8WIYItbj7vMlT1OlHvGmbb/e21fmJfamoBT3C7HNf5IwpPGjlIe22ChQQrdeNd\niJpezP1G0nCQro0rRVRqnNtBOeoG6Ze2cY3fdq7UjVHqxchBChfqTRg3caiFtHz+EGsT9LCN\ndLl+3Ps///xeXP0rbp5UNUg/2CnASg84BgchSO5tprhQ/5qx1ICULmpxt1mohyCNKXtanpwu\n6+5qsKoGqZ11Vdb1WdZ75UQjSO71J8tsaRNyX32rmXcpKhqpg50NWSXnOhtzS7oJu6pBKt1b\nflxva5uBIBWkFb2UfG9wfOevrHodvumNkiQfSBJM0sTdepMmnKY9zsZvdOb2Z9UdIjTRMfmI\nnkaQCtKRysS/vPaDnmabtoN09OstBe3A8kJo7jeSZn/zZ+k3Z+NXOnv7s6oGKfYR53QczUCQ\nCvAK2R3/9jGkdL0y3lLqkZ/Z/JjSqTB3pGJukDQ7aDUr5l1n450Y3qt2TwtvOoYkZvWlZ55C\nkNyaS1R20cWdA00UxruUgqUE9tybmbauWu2rjDrsICUopmrVYpre/T0x9h958k+piW6eVDVI\nZ8tQC0cj62nlrUoDB+lDCnAM/hCCSvIupWD3OQ9ynS01jVGHk3Wws0G81jT6tc2bX41u6u5A\nkrrHkc4MfcbV+rQ8guTW0sCoR6PIdm8bv0q8SynQ39LWQtYhaYt7am1GPfbJDZKGr2uXPrWy\nxVJ5qttxObjRmMbsNDUzmYgsQW078S6lQJtMR3sGSutiL30ayqjHprlBYrW2WDSuXy/gCQRJ\nY7LKWes92uzhRwLNn/IupUDbKarh6r/2vBOZEMWoxx56WLVThCDdKmPl6G5jv+R5dP0ec5et\nlw6/H2b6jGMRyq6aqzp2Gv1prcWox9V6GNmgCEG6xT/1AtsMaWVPZLZf947tFr58QCAKn9q7\nC7caCnNKKHlIni4XqjHq8UV8IxUJXkHKqNfolDT5q2YrLm8vWyatLV1JOSKKb9bgVkNhNgsP\nBT/5/sxHzP2KM+qxV26QcM0GhngFaVXgKcf0oGUzl/eXfBLharyewKuEQm0Vrn3UuVLdAduX\nl2DUY098IxUJXkF6qr2r0XAKl/eX7M8e0dXxMV4lFCrV+o2zMaw5ox7b6WL3txIEKa/eg1yN\nDs8ozleUmj3o2MP6menOfzGq6VPzgjzZ5vcJow7bSgky+fkJCBJbvIL0bEtXI+EVLu8vO1I6\nplZclRpmbt+JHjhbPX7WhrXP+j/JqsMnsGpXJHgFaaP1d8f0R9OvXN5fduFevzCTf5htKbcK\nPHBlQnVrSOMlzPobilW7IsFt93f78jukx00xAwqds8j0qHpSvCGKr9n+4FeDJ5juXRsoR8hi\nRpAY4xakKz2EcollTE8UdpmjonNc+J+z0XQYtxrUNwgHZIsExyFC++Ynf3iQ15tLVoVmbRzT\nfsAbqdPrcaxCbc8iSEXCwGPtFkf3NLcc0adM5MiqvEtR0fjcIGn3fCTZjYLWaBEkjdkqlNx9\nacfh9CH2FrxLUdE0XXwj3ZhezWqtNt1tlhAkjTktPNhEWpyKjzK3412KivKcj8Rv87QwaQ+W\nnL5x4yslH0xz8+RdFqQTC56b+pnS/qQ/3hs583sN/9ETP7PRPauv/P60ObAh71JUVFwPq3aT\nYo7Jk2Mxk9w8eXcF6b9+sW0aBVb8uaDnM4abKrava23yj9eVFblFltb3ULDZ1sNaincpKgrI\nDZJmL8eVVeptZ+PtUrwvfuIxL4O0wPah9E9M7V7iZAEzjCyxQXr8674E7Q4xfpcOZB5cu+WC\nWIPVgNAicpnlZxipg1W7s9k3teZ/OS6PeRekjOjpzmnCSPczHLN86ZieLf6hl4UVvYWmWY7p\nhVBWZ58WhdSkOLLWep/ZOvIDOgiSfIHItF270sQ9dPr2Z++mIKVk/wNnFbDneEH2Bcn6dfeq\nLDWsCLS+I/2t339fFKuzT4vAyQpV5u7cMDm4N6skddTBXrusyNe7m4nM3WdF3uWrdl/5uRo5\n5/TkM72+q/FCMy+6V8dhGh8cVLes0KLZQN6lFKyr4/Lt4u6A/2PUYZPcIGn2ApHicGvtby5c\n+Ka2dbibJ++mIO0g1xnisyu7n2F+9g0eBnV1P4MWtGtw7IvXFvyy2JTCu5ICnbVscDaeeYBR\nj630EKQB/vHzf/ttXll/d3/i7qYg3Swx2zHNrO/uT4bkL5NzAbhQYo6XhangZOWyL62Z1908\nm3chBftBcG3IFPTVf8fa6iBIGaEfPhdFFPXcgjA3u+jvpiCJ7/ivlB6vDQo7WsAMT8b8JD3+\n27xyQVcn04LLkxuElv+Phk/ryw3SinBGPZYnxx3NTVre2XCK9klfxmdEcR+duv3ZuypI4hRL\n5e4PhcduLej59MeEur2aBdQ+UnAXJ9a88YWbnTKQxxnz987GqCaMeozK/UbS7N+4VHIdn9xF\nbu7DcXcFSTz0xpOjFytdqzNlxqCJnxV8ykv6U5bQ6kH253V6UoxaOt/nGCWzN4jVYYSaehjZ\nUH762fkjR84/N728myfvsiD5qnfMV6KYtaL4CD5v75C1anCTzlNOcKygUMfL1lr064+vhHVh\ntdRPkSMkaDxIrwcGxTzySExQ4H/dPIkg5fWj2bmrbJ15P5f3l1172K/Lk4OrhX7NrQIPnHki\nkkyVZjNb6Bfo4DiSuEmwDlu0aKhV2OTmSQQpr7EPuBrVXuXy/rInomKkP832moF/cSvBI2dY\nXu1+sB5W7R7ov6RN6dJtlvRLdPMkgpRX7+wjBPwux3XaJIQ++9V7ieRfwDinu9L9uUHS7DDI\na+aNzsZGs5vzKBCkvIZl30qlcTKX95esEaJ3vzpozMdvUSyvEjjoqoNVu3/Itb6/n9ycPYAg\n5bUs1Dk24pjtOy7vL0mi/wgJvVuHlQ+18iqBg0m5QeJdSoHSzK7xHOstbnbRI0h53ajS5pI0\nOdPofm5/F7tQ6HppcqmrxcSrBA7a62DVTmze2znt7e5CzQjSLf6sVOKxF3qG1ea383kIdck6\n9Pn2S/8IRgpSdT0Eaat1UrqUmElWdwf8EaRbXZszoNnjCzkOU5lMpnCyCtYIs51fEaqL0cH5\nSKK4uniJVi1LFF/j7jkESWMWyYcl7SYSSMN3NWcuODdIWh5UcnHxuHGLL7p9CkHSmK8FsrUb\n2KsSkXbvas6eX26Q3C+nmocgacw31KyyhSh4qBDJuxQV6eHiJ8oQJI0ZT/717ESlq/oF8C5F\nRXkux6XZ85GUIUgaM0KwCyHlYszmUn6Fz3zXCM0Nkk5/80YL0sbnuz3zf5o95UWykCr6B8aW\nMCUIxXiXoiJ7bpDcXcZUB4wVpGsdLQ8O6VCskoZvPfQ9Ca9niuKR8lSWdykKsj7pmdB46C/M\n+rPlBonlWFj2sgo6Um+sID0Wv1d6vNg+Xru/rUWCOezpOdMeMGt5Z0N6x4C+s15saXmbVYd2\nXazaZbxZPzCw/ptud9AbKkgHBecx6SvRzJYA5iZSN1NEsYig8LpBvEsp2Jhox3f6QvMPjDrU\nxXGk9DbFJ3755cTibdwdMzZUkObGuRqD/1MU3TMxk/Z8UDc8vuv5WqG8SynQtaDFzka3Tsoz\neixSD0GaWvKQPDkUOdXNk4YK0gwdXCDyC3M4mYr5kZ9Qg3cpBfop+6jpomhGPerh2t9ZpV1X\nSJtd5i6/0mqhPopyfQJ9ehVF90ykmqj4G5tWdCaB53UjlG0yuU5jXcPqWzNOB99I58i1c2U3\nnbv9WUMF6aRtpXMasrgoumfiHNl6VjKHNUsk7d6x74h8hTfZNFbXJ6+UGyTNHpv4l/Y6G3vv\n9ovoF25C2GrpcV9CQ83+2ROnU1t52KoppHoY71IKdm8fx+RCmRcZdZhniJBmr9mQGbHQ2fgw\n4m6/0mqhMsdbox6oaGp7pkh6Z+JJk91OfmbBXtrGu5SCbfMfcFi8+UOd6qx+TebcILm5+KJG\njLjHUVtqRXcr3WoHKevQupUr1xd0SeFsRTey4djS5Dm7iqhvJiaRUCfKHlIhlvx5l6Jga3Uq\nZjd1YXZJ2sDcIGn2mg1iao3oEn5+JaJrXHDzpLpBOj/KtXumzJRrSvMVHKR0ze7UYWQtmcga\nIR9X0fBxJOkP4sFV6/5l191DOthrl3Meb3V3z6kapBPxVLFf8owZE3rEUK3zCjMWEKQbr1S1\nWqu+ot2TkRmYRBRskVIkkJHOkI3XQ5C6UQvxr7/EZuTuNnWqBmmgdbmrlfG2kKQwo/sgpSWW\nnLFp03T3t2e/W/SQliVrSfkbSeBdiooi9DBEyOS6q28Jd1fTUDVIUQNy291KFzxfAUFKLqVw\ne3ZWtr3+zJsF3hVdBfdS6PyW8bUHT9DwhanYK5EbJM2ej3SEnnM2niU32/iqBsmaZ2zFJKWd\nUm6DlBWjdHt2NlLbmRIeqS70UNyCK1LVqYzjHNGPDRWkEB2M/v6G5jsb82nd7c+qGqS4PHec\n7KB0loDbICnfnp2JrBbV9onnxZSy/G7WXIuscdO/WNjHZKgg2XUQpHP0mLPRh/vIhiRhpuu4\n9ZWJNEZhRrdBkm/P7rCHiuo40Df2Fa1CqNgjH/O7getgCrSFW0NC/chI17Uz5QbJzUKqEXa7\n4zh+ht3dbiBVg5Rah4Kb9xs+rG9iADVR2qh0v2oX6fpqnefu9uxMjKhl6b3ml0872iu8XETv\nUKhPieK713+onYlK8SqBA4sORjaIb1CYtPW8M5TecPOkuseR0mclOI5hWxvOURyk435nw+h4\nxzfRmfjRXhdQiEetrzmmY+1Di+otChVoc9xL1UzuBuvfrUrrYGeDKD7nuBWaMNbdc6oPEUo7\nkJJysLBjBe6DdKle/Lxff50bX6/I9pA2DXD+PUy38DthaZUQXL1spQpUjVsFHOS59aV2h0GK\nK8MCQkMDwla6e05XQ4Sujo4mih5ddJujLc2OHeziXqFPkb1Hob6PlW801pfhKs71Wc2iK3dn\nfJ/0cyyP5lXJDZJ2D7f/YO3WtmzZtt2s7j5JvQ0ROltUO+wc+kfWOSJN9lUq+VxRvk2hdjLd\nm5J6b8mxS97tYn6NXZdnh0SRucqbzMKe54CsZvfaiYnlAoYsWDDEv9yDbp7U1RChIvdq+URb\n414Nze1KsLpdtxb0ruYYXPqxidl30j/xNRb+smVaaDdWSYrWwapdmilotzzdHWTifcc+H4cI\nFb3jAW9899KgaZuTw7U7mP+OnTavdzYeZXZ07NGGjhWKPUELGXXYUAd77f6hZ8/OGzFi3tlR\n3O/YpzhE6NqsV3J04jXiaoF54Le/f9nd6vbOHTr1rc21bL5fkVGPZ8yb1g1JfHj8nyObMuox\nz5VWNXsaxUkaHFyqQ4dSIY/Tyduf1c4QoX/ur5ujDF3y9j18tPEBPwps9ROndy8Sn2Wfj7Gw\nDKMefxAes3aY+Gw9v6fDGfWYZ2SDu5N9NOEUCd1bxsS07CbQqduf1dEQIZVknNDsyoV3fqdD\nzsYoVtdO+kEId4z8mG1mdfGTPINWNXvNhgwz2YYvWTLcRmY323E6GiIEXqrtvPfp32FzGXV4\nglyHxMuXYNRjnjv2afaA7DVBCIpq1y4qSBB472zwbYiQYeyZOXDMMoZ/mH8K7Loz/cyyMs1Z\n7RDbSXUdO6l/tbO60L988RPBGSTN3mjsHwqtNyYpaXTdUO47G3wcImQMmUlC7T4PFSu3m12X\nP98vLaUBo5idG7LRVL7q/F2bXgxpGsKox0AdrNqdpJldTIJg6jKT+zaSzIchQsYwKWyD9Hip\nW0mWw6DP/7CH4YiBP2nHU6XJWuPdmazGMd2TGyTNnmp+itqLV3fsuCI+rIkgZTt7UOFJAwfp\nov8Sx/RGpWS+hSip+aRUaLp4pcIERh0+p4MDsplB5mQp5enJ5mAtXddujFIvBg7Sl/6uP8kT\nG/MtRMlG60jp+3JPk/Ks9lUn5QaJUY9FYEhcsYiWLSOKxQ1x8ySCpDGLYl2NdytzrUPZt2WF\nsuHUsrDBxx5L1MOg1TMVEsaOGDEmoYK7kZAIksZ86+fatzr+Aa51FOLmTx9+coBdd/fpYGSD\nKP7by0pk7eX2en6qBqluHlEIkltXg+eKN/efE6+Vnca7FEWZfzK8PqS0/a6DbyRJ+u7dBewM\nUTVIJpM9h7lIgpR1cO2GIj3RoujN8qtrI4qtUpbXKClPHO8eQBQ1hdlC/6QuvpGUqBqkMcG5\nu+qKZNXuh2oUajX10u71Mzywyy6UaFbNYu7MuxAFh6PuX3t033sl27AahtAdQboTN2rXy/kb\nVhRB+sHv8cPijU3Va/O7LJ3PshK6r+1Y9f5nv7d9xruUgrV90PF7PBT2HqsOHRkSND1ESJm6\nOxv2+T+b3SyKINUa6JicjZ7pzau14Wehu6nRE/8pGdtWu/e5PWX60dkYdx+jHgfjG+nOXMxZ\n69qktC3tXZD205/OxqT6yjNq2bLAiG3pe06l9Q/U7u7vzYJrxWJlcUY9ttXBoFVld9ONxr7J\nvnDf8kiWxajrQ+G/rSxEMTOjSvIupUBbs4c/f8xq9Hed3CDp9A4Jd1OQNmf/fucpneukcXMp\noNWEUc8/HRai3b8GqbavnY2hrO5zq4uRDYrupiBd9vvU2ejE79LdPvtICPIr+WBNSxyx+mtf\nBB6r4bimxVb7CkYdHpL3NAgCgsSYlzsbkko7zgWdb97Othw1vUdCqTe++KSXYI7gXUrBztWI\ne3X9qpF+zK5HO1cf30hf96xVq+fXbp+6q4KU1iZowOyXWljfZ12PiuZRyxLSX2ZrZ1Mw71IU\nXJ1Y0xbWdBmz/rrqYWdD1jBrz9mze1qHuduxeFcFScxa3K1Go6G/Mq5GVRMFsvZ8e1xlMgXy\nLkUZ09MdOlLOGbKaPY1CnBPkyMqWIHen7N9dQboLvEp+/uFNqlpKkx/vUlQ0muilNrEVuj2k\n5VW7ypOd08nuDkwgSBozhar+vXzyO1tXktItDbnbPq5Dr+knmHXXSQcHZC/QTmdjh7vrSiBI\nGjOMSlaa9c3S/ma7hXcpBct6SogIDQ8NWMWqwwo62EY6SX84G79zv0CkxwwcpCSheK9atujW\nLd3eF04jplkCh817vZPJ/BujDlvo4DSKm0Gfium//JIurgjmfV07jxk4SJ9QR6HBgI4RZUop\n3fadrxt+xY/I0xVCS0Y9vkxUI1Awh1TQ8jZS3zo95RP7etbp6+ZJBElrAmJ3TO39zML3aArv\nSgq0Nfv+3vf5M+qxs/xdZBa0vdfuF0vw7H///W+wxd1uYQRJa5YLwQ0b3F9J0O6YVfFduvTD\nc227Tj02SmDUY5fcVTvtBmnIPc3JZqMW97g7Do0gaU16U/kPs2D/jnchBVtEvUwtRz9ZPbAZ\nqzuvr9PByIaMsCXiqe++OyUuLqaly3EpMnKQniq19+bm4xnPBB/nXUmBjpJNXmqyXiJWp1Gc\nkv50hAimUC0H6RTtczb2aeoCkYoMHKSzls+vff/+ikNZdfjefVPJDbMw6ZqUp2ZCdUY9rpa/\ni6wW+VGz9wI5Tz87G7vIzW3oECSNWRv0UYSlUnGh0/gGvEspUArZ/Ww14wX/UrGFz+yRCWQl\n19nmmg2SWM514vWMcm6eRJA05v+KW6ZLf+1TEspod2/DRtOue8kimPsvZXUR/ZHZI+20HKTX\niu+VJ3uKz3LzJIKkMeso2TE946/dIB2gQ+KJddsuibOqMOpxuhSh8OCwUC2v2okZXYOeWbo0\nKairux2LCJLGrHMdPzofoN0giVWdd9JOqzyWUYfyNlK5Tg+V0PJYO1HM+qhldFTLj9xWiCBp\nzP8Vs866Loq/1YtlGKSr699avIddd+I3lgnSL+hwizhWVxAcJX0j2axWi6DpIClBkDRmbfAH\nxezVo6ndOHY7G5ZF2KqVoubHmHUoro22VilDjQ6x6q9N9jaShgetKkOQNOaM5avL695Y+ntW\nvVGsulxpefmaKP7R6B6GH+r1je98xPCegoMc12xwpAnfSAwZOEjikDL7pcfM54L+ZtRhZpkX\nHNPLcVMZ9cjeOilIJudoOwSJISMHKe0Re5veXe4J+5ZVhzsF130jJmn3yNRKecyq43/aHdmg\nDEHSnI1lyESWJ5hdv3xNqKvxf6wOn7I3RQ+DVhUhSFqzzjrkQObFlWVaszqgssnsulH47KqM\nemTvJR0MWlWGIGlMZrmnl/Zt0Ob5H4IWMerxSsBSZ6PJk4x6ZG8BUZi0fWTx1/IBWUUIksb8\naG4a1HvsM7WD2jzMqsvxJXZJj5nP+yvdSJ6vWURPXlq76XotBIkpAwdpcUCZ1gFEFR+2VmDV\n5c3HLG3GPFEp9AtWHbI3iSzaH2unCEHSmA8osMXnf+2cFhTE8CL6G0a26T7dzUk0mvEiUUCY\nzV7MggOyTBk4SPPpv2ukpwAADM5JREFUQceRlO1CGO9SVPQ1kT/FFic7djYwZeAgvUyVz8jT\ntwSNX7KYqQsk2KQVO5OZzLxL8RKCpDGTqHbkyAUzWtkqa/ki+qztdl77W95xh5ENDBk4SMtM\nz7/ZJr7e4I0B2j18yt6vUoZMVqsUJE1fqFkBgqQx+8k88byY+b8qxXvxLkVFlylkTuOYuNYf\nmVhdKU9tCJLWJNaMoVIBpgdNm3lXoqJfqORZefqrhdUFvtSGIGnN4djq419I7m9J5l2ImpZT\n9ZDidv9wvwSM/mbJyEESzzxVwRSa+BnvMlS1gSLJZjJbKU5AkBgydJAk13kXoLaLRCvEG5ni\nSArgXYqXECTQgDQSurwz5ZU37xWws4ElPQVpZsPoqn20PPxGD76gQIEsJhIiWF2WX20Ikm8u\nlqLw2mVM5sW8C9G3xWROsBMFV/fDWDuW9BOkqubV0uO5eNNh3pXo2n5qIWbs/0vMLIHd3yzp\nJkg7yXk96KtWVveuM6ZjVMJx+sQpi5V3KV5CkHzylMl1+kz9cL6F6NwOEsp8JabNDbKYsPub\nId0EqUf2HZPbGWmsNnuHaXagPGQ1+hW9/kFCkHwyTrgqipelP6LVoniXom/lJovfJ0//TWzf\nhXclXkKQfHJc6NqvFAU1eU94jHcp+rbItkx6zHjB/gvvSryEIPnmQSr54Y4vHibrVd6V6NxM\nS7U+XUqH6XZkFILkk6za0SQEWSjEtJN3KXp36NUBQ95jdXcL9SFIPtluOrZ/bJsBn4qttXvN\nOFADguST+dm3E32xMdc6gDcEySfzsi8+N/V+rnUAbwiST7aaTzob7QfxLUT/bm6bu/hX3kV4\nD0HySWbV3o4j8d+a7vxjhLw2xJvKl6L7DvCuw1sIkm92hLRcvX/zeDuruxIb1Vb7U+dF8XCb\nGL2ekIIg+ehA5xCy1FzCuwy9u895QDs94SnOhXgLQfLdccOdGc7cSWGXszGnNN9CvIYggQbs\nzP6Fb8Dob5YQJIM5QK5bT68IVZ5RsxAk0IDM6NedjZ7Mbq+mMrWDlHVo3cqV648WMheCZDSz\ng7+XJ+9ZfuBdiZfUDdL5UZHOG7OVmaJ4024EyWiynjG1HvfMvfb5vAvxlqpBOhFPFfslz5gx\noUcM1TqvMCOCZDxbR7bqMEG7d7ktjKpBGmhd7mplvC0kKcyIIIHOqBqkqAG57W75DxhcffWV\nHJ0QJNAXVYNknZrbnpT/jlInHmqRoxalefseADyoGqS4rrntDmUVZtxC6d6+BwAPqgYpSZjp\nGk1zZSKNUZgRQQKdUTVIqXUouHm/4cP6JgZQE6WtIAQJdEbd40jpsxLM8mEka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          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "qMUXvLFzuTc6",
        "outputId": "dc9046d0-5b75-41d9-f11b-c547cee92791"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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UcB2oJhB2ijZ8+erVix4h//+IeZmdns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"
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ],
      "source": [
        "d0 <- sum(data$Dependents == \"0\", na.rm=TRUE)\n",
        "d1 <- sum(data$Dependents == \"1\", na.rm=TRUE)\n",
        "d2 <- sum(data$Dependents == \"2\", na.rm=TRUE)\n",
        "d3 <- sum(data$Dependents == \"3+\", na.rm=TRUE)\n",
        "pie(c(d0, d1, d2, d3), c(\"0\", \"1\", \"2\", \"3+\"))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plot(x = content$Loan_Amount_Term,y = content$ApplicantIncome,\n",
        "   xlab = \"Loan_Amount_Term\",\n",
        "   ylab = \"ApplicantIncome\",\t \n",
        "   main = \"ApplicantIncome vs Loan_Amount_Term\",\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "lM8JGI2UXxZX",
        "outputId": "ab23b681-2547-463e-84ab-6154ccae296f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Plot with title “ApplicantIncome vs Loan_Amount_Term”"
            ],
            "image/png": 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/0IUqhpc5fjk+h8zSe1riRASoP0MnX8Xbra241eLX7GvG9cdKf2Pr92gSCFmu1R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\ncn1nqoe8o0GCbSReIRykx8zlm8zbufqpsGsZTyd/aNawZz/PZOt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roP3i+WVp7bQb76e+OeTabxem40+kqi86r1+o6uVOtYOUs3/V4sWr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\ngg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_heatmap <- heatmap(res, Rowv=NA, Colv=NA, col = colorRampPalette(c(\"white\", \"pink\",\"orange\", \"red\"))(n = 399))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "53UvzzGJYt4C",
        "outputId": "4790f781-a73e-4d2e-96a3-082f508383ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": 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WP//v2Vl5cuXdq5c6dpdOvWrXq93mAw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/f3R09IULF54/f850Inna2tpJSUmKx+Pj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\nXMnJ9U9Na2vrW7duMZ3ib9xa6Wbv3r2zZ892dnYePXr0kiVL6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          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "nzIRzlB-YuiE"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "name": "Data Visualization in R.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "display_name": "R",
      "name": "ir"
    },
    "language_info": {
      "name": "R"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}