{"cells":[{"cell_type":"markdown","source":["# **Tugas 1 | Statistik Deskriptif data**\n","\n"],"metadata":{"id":"7424Q_5nR6bj"}},{"cell_type":"markdown","source":["Statistika deskriptif adalah metode yang berkaitan dengan pengumpulan / penyajian data hingga memberi informasi yang berguna.\n","\n","Statistika di klasifikasikan menjadi dua yaitu statistika deskriptif dan statistika inferensia dilakukan berdasarkan aktivitas yang dilakukan."],"metadata":{"id":"3A7IGL5q6qv8"}},{"cell_type":"markdown","source":["## **Run this code**"],"metadata":{"id":"xlKJok9r-DeT"}},{"cell_type":"markdown","source":["### **Import libary python**"],"metadata":{"id":"c8LB-C-2UWgM"}},{"cell_type":"code","source":["import pandas as pd \n","from matplotlib import rcParams, cycler\n","import matplotlib.pyplot as plt\n","import numpy as np\n","from scipy.stats import skew\n","import seaborn as sns"],"metadata":{"id":"YmVFjW1D6OCQ"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## **1. membuat data dari url**"],"metadata":{"id":"eRNeD2FE5u2Z"}},{"cell_type":"markdown","source":["> Menampilkan data dalam bentuk table, Kasus Covid 19 Positif yang lebih dari sama dengan 1."],"metadata":{"id":"qCwhT8j46Uwt"}},{"cell_type":"code","source":["df = pd.read_csv(\"https://raw.githubusercontent.com/yanchespenda/covid19-indonesia-datasource-csv/master/provinsi/hari%20ini/Jawa%20Timur.csv\")\n","kasus = df[df['Positif'] >=1]\n","kasus"],"metadata":{"id":"fFvwfoGiD4gT","colab":{"base_uri":"https://localhost:8080/","height":614},"executionInfo":{"status":"ok","timestamp":1662099798141,"user_tz":-420,"elapsed":359,"user":{"displayName":"Caca Erha","userId":"13359221303846732984"}},"outputId":"7880dec9-3894-488d-a960-9be2f85bccae"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           Kabupaten/Kota  Positif  Sembuh  Meninggal  Odp  Pdp  \\\n","0        Kabupaten Blitar        1       0          0  282    2   \n","1   Kabupaten Tulungagung        1       0          0  462   26   \n","4     Kabupaten Situbondo        4       0          0  121    3   \n","5               Kota Batu        1       0          0   70    1   \n","6           Kota Surabaya       41       0          0  206   61   \n","7             Kota Blitar        1       0          0  102    1   \n","10            Kota Kediri        1       0          0   71    1   \n","11     Kabupaten Lumajang        3       0          0  104    8   \n","12   Kabupaten Banyuwangi        1       0          0  196    1   \n","13       Kabupaten Jember        2       0          0  207   10   \n","14            Kota Malang        4       0          0  165   16   \n","17    Kabupaten Pamekasan        1       0          0  115    1   \n","25       Kabupaten Gresik        2       0          0  153   25   \n","26      Kabupaten Jombang        1       0          0  146    3   \n","28       Kabupaten Kediri        2       0          0  107    5   \n","29     Kabupaten Sidoarjo       10       0          0  124   49   \n","33       Kabupaten Malang        5       0          0   69   18   \n","34      Kabupaten Magetan        9       0          0   43    9   \n","\n","   Terakhir Update  \n","0       30-03-2020  \n","1       30-03-2020  \n","4       30-03-2020  \n","5       30-03-2020  \n","6       30-03-2020  \n","7       30-03-2020  \n","10      30-03-2020  \n","11      30-03-2020  \n","12      30-03-2020  \n","13      30-03-2020  \n","14      30-03-2020  \n","17      30-03-2020  \n","25      30-03-2020  \n","26      30-03-2020  \n","28      30-03-2020  \n","29      30-03-2020  \n","33      30-03-2020  \n","34      30-03-2020  "],"text/html":["\n","  <div id=\"df-ae25f77e-4d59-40a9-9348-1a9b26213d4d\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Kabupaten/Kota</th>\n","      <th>Positif</th>\n","      <th>Sembuh</th>\n","      <th>Meninggal</th>\n","      <th>Odp</th>\n","      <th>Pdp</th>\n","      <th>Terakhir Update</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Kabupaten Blitar</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>282</td>\n","      <td>2</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Kabupaten Tulungagung</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>462</td>\n","      <td>26</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Kabupaten Situbondo</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>121</td>\n","      <td>3</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Kota Batu</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>70</td>\n","      <td>1</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Kota Surabaya</td>\n","      <td>41</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>206</td>\n","      <td>61</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Kota Blitar</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>102</td>\n","      <td>1</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Kota Kediri</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>71</td>\n","      <td>1</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>Kabupaten Lumajang</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>104</td>\n","      <td>8</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>Kabupaten Banyuwangi</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>196</td>\n","      <td>1</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>Kabupaten Jember</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>207</td>\n","      <td>10</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>Kota Malang</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>165</td>\n","      <td>16</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>Kabupaten Pamekasan</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>115</td>\n","      <td>1</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>Kabupaten Gresik</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>153</td>\n","      <td>25</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>Kabupaten Jombang</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>146</td>\n","      <td>3</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>Kabupaten Kediri</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>107</td>\n","      <td>5</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>Kabupaten Sidoarjo</td>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>124</td>\n","      <td>49</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>Kabupaten Malang</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>69</td>\n","      <td>18</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>Kabupaten Magetan</td>\n","      <td>9</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>43</td>\n","      <td>9</td>\n","      <td>30-03-2020</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ae25f77e-4d59-40a9-9348-1a9b26213d4d')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-ae25f77e-4d59-40a9-9348-1a9b26213d4d button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-ae25f77e-4d59-40a9-9348-1a9b26213d4d');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":3}]},{"cell_type":"markdown","source":["### menampilkan data dalam bentuk chart"],"metadata":{"id":"L-O2gjn26gj_"}},{"cell_type":"code","source":["x = kasus['Kabupaten/Kota']\n","kota = []\n","for i in x:\n","   namakota = i.split()\n","   kota.append(namakota[1])\n","y = kasus['Positif']\n","plt.xlabel('Positif')\n","plt.ylabel('Kabupaten')\n","plt.barh(kota,y)\n","plt.title('Data Covid19 Jatim 30-3-2020 Positif')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"id":"frjsvgU06wRk","executionInfo":{"status":"ok","timestamp":1662099816410,"user_tz":-420,"elapsed":564,"user":{"displayName":"Caca Erha","userId":"13359221303846732984"}},"outputId":"3381d0e8-da30-4328-b194-c47fa2e11aa0"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAbIAAAEWCAYAAAAD/hLkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3dedxc4/3/8dc7EVuzKeqXhkqR0ogIIqW2UIqqrdRSbYO2qW+1uqFo+21Ui/p2sXWj1FI7pamqXYjdHYnETonWUoKIhAiSz++P6xo5GffMPXdy3/fM3Pf7+XjM45455zrnfOZkMp+5rnPO5ygiMDMza1a96h2AmZnZ0nAiMzOzpuZEZmZmTc2JzMzMmpoTmZmZNTUnMjMza2pOZGbtJGkrSY9VmX+OpJ91ZUy1aCtuq78aPlsfkTRXUu/8ejVJt0maI+lXXRdpY3Eis04haYakefk/2GuS7pR0iKSaPnOShkgKScssRQySdJikByW9IelZSZdJ2mBJ1wkQEZMiYt0aY1hW0uV5f4SkMWXzB0o6V9JL+TG+jfWFpHVq3PZibdsTdw3rHiapRdKs/LhR0rDCfEn6haRX8uMXklRlfSdJ+o+k1yU9I+mYNrb/S0lP5M/Xo5K+XDZ/pKTJkt7Mf0cW5h2RPxNzJD0t6YiyZYdIuiUv+6ik7avEcY6kt3NyeVXSDZLWqxZ7NeX/Rvlzs31h/r8jom9ELMiTxgEvA/0j4vtLut1m50RmnWnXiOgHrAmcCPwAOKsLt38K8G3gMOCDwMeAq4BdujAGgNuBLwL/bWXeb4AVgSHAaOBLkg7qutCW2PPA3qT9ugowAbi4MH8csAewITAC2BX4epX1nQWsFxH9gU8CB0j6XJX2b+R1DgDGAqdI+iSkHw/A34C/ACsB5wJ/y9MBBHw5z9sJ+Kak/QrrvgiYAqwM/BC4XNKqVWI5KSL6AqsDLwHnVGnb0dYEHo6eXtkiIvzwo8MfwAxg+7Jpo4GFwPD8ehfSF8brwH+A8YW2/wYCmJsfmwNrAzcDr5B+hV4ADKyw/aHAAmB0lRgHAOcBM4FngB+RftwtB7xWijO3XRWYB3wIGAM8W5i3EXA/MAe4hPSF/rNWtvcsMKZs2svApoXXxwCTqsQcwDqF/XlXjvUF4HRg2Tzvttz2jbz/9m0l7hnAEcC03O4sYDXgn/m93AisVMO/9TLAocCbhWl3AuMKr78C3F3jZ2cwMB04sh2ftwnA9/PzTwPPASr7PO1UYdlTgdPy848B84F+hfmTgEMqLHtO8d86f6bn5ucfBybmf5+HgN0K7T4DPJz383PA4Xn6e/9GwPmk/y/z8r/hkaQfPJH3+TnAO8Dbef72teyr7vhwj8y6TETcS/oy3ypPeoP0y3gg6QvgfyTtkedtnf8OjDSUchfpl/QJwIdJXxJrAOMrbO5TpC+Ee6uEdBopma0FbJNjOSgi5gN/BfYvtN0HuDUiXiquIP/Kv4r0pfNB4DJgryrbbI3Kng+vcbkFwHdJPaLNSe/5GwARUdp/G+b9d0mFdewF7ED6At+VlMSOISXuXqTebOXApdeAt0j78vjCrPWBBwqvH8jTqq3rKElzSZ+RDwAXVmtfWG4FYFNSsihte1rkbJBNa237ebhzq7Jln4qIOe2JPa+rL3AAMEVSH+DvwPWkHz/fAi6QVBo2PAv4eqQRi+GkH2iLiYgvkRLwrvnf8KSy+QeSfsydlOff2FaM3ZUTmXW150lf+ETExIiYHhELI2IaaUhnm0oLRsSTEXFDRMyPiJnAr6u0X5nUS2lVPli+H3B0RMyJiBnAr4Av5SYX5vklX6D1L9bNgD7AyRHxTkRcDtxXabutuBY4SlK/fDzrYNJQY5siYnJE3B0R7+b4/0iV/VfBaRHxYkQ8R+p53BMRUyLiLeBKUm+zWgwDST8GvknqXZf0BWYXXs8G+lY7ThYRJwL9gI1JPwxmV2pb5g+kZHNdhW2Xtt+vlWXHk74H/7wEy5YcnhP6k3n5A0mfi77AiRHxdkTcDFzNoh9H7wDDJPWPiFkRcX+1N2jVOZFZVxsMvAog6RP5oPpMSbOBQ0i9i1blM7QulvScpNdJx0AqtX8FGFQljlVICeiZwrRncnwAtwAr5hiHACNJX+zlPgw8V/br/5lW2lVyGGno6AnScZ2LSD2SNkn6mKSrJf0374/jqbL/Knix8HxeK6/7trWCiHiDlEzOk/ShPHku0L/QrD9pyC0k/SGfHDG3/KSOSKbkbR8LUK29pP8j9Wj2KfwblG+7tP05Zct+k9QL3yX3wmtetswvI2JgRPy/iNgtIv5F+lz8JyIWFtoVP197kYYXn5F0q6TNq6zf2uBEZl1G0qak/8i350kXko5trBERA0hfhqVf7K0dvD4+T98g0kkBX2TxYbmim4DVJY2qMP9l0q/iNQvTPkI6XkGks8IuJf2C3h+4umy4qeQFYHBZT+MjFbb5PhHxakQckL8E1yf9n6w2HFr0e+BRYGjeH8dQeX90tl6knmTpi/oh0okeJRvmaUTEIXkorG9EHE/rliEdE63YXtKxwM7ApyPi9cKyDwEjyv5NRrBo+BBJBwNHAZ+KiGfLll1LUrEHtmFx2Ro9D6yhxc/SLX6+7ouI3UnDjleRPmut6dkncdTIicw6naT+kj5LOgniLxExPc/qB7waEW9JGk0aviuZSTrQvVZhWj/SL+bZkgaTTlRoVUQ8AfwOuEjSGKXT4JeXtJ+kowqJ6ud5WG9N4HukXl7JhaSTJA6g8vGau4B3gcMk9cln2o0ue//LSVo+vyzFoTxvbUkrS+otaWfS2X61XoPWj3SizNx8yvf/lM1/kcX3X4eRtIOkjXLc/UnDvLOAR3KT84DvSRos6cPA96lwNp+kXpK+LmklJaNJJ4/cVGX7R5M+L9tHxCtlsyeSjh8elvf9N/P0m/OyB5B+FO0QEU8VF4yIx4GpwE/yv9OepCR4RQ27pege4E3gyPy5GEM6Bnlx/iweIGlARLxD+jdcWGE9nfZv2K3U+2wTP7rng3RG3DzSkMxs0hf+oUDvQpu9ScMtc0jHD04nJbrS/J+SEtprpGMO6wOTSclsKunL8dkqMYh0+v1DpC+V50hnFa6f569ESlwzSWdN/i/Qq2wdT5KGQpctTBvD4mf/jSIdHyqdtXgJi5/JNoP0y7r4GJLn7UP69f5mfk87trFfA1g7P9+a1CObSzq+9VPg9kLbQ0g9xtfydsrjnkHhTLe8L8YXXn8VuLFCHJ8vbHsm8A9gRNm+Pynvu1fzc1VYVy/SscJX8/oeJ/cu29gP81l0Vutc4JjC/I3yZ2Ue6YzSjQrznib1xovL/qEwfwgpGc4DHqPK2YCUnbVYNm994FbS5/9hYM88fdn8fmeRkth9wJYVPlu7k074eA04nMJZi21tvyc9lHeGmTW43POZTTol/rV6x2PWKDy0aNY89gX+5SRmtrglLv9jZl1H0p2k6+2+Wu9YzBqNhxbNzKypeWjRzMyamocW62CVVVaJIUOG1DsMM7Omscoqq3DdddddFxE7lc9zIquDIUOG0NLSUu8wzMyaiqRWK9d4aNHMzJqaE5mZmTU1JzIzM2tqTmRmZtbUnMjMzKypOZGZmVlTcyIzM7Om5kRmZmZNzRdE18H052Yz5Kh/1DuMhjPjxF3qHYKZNSH3yMzMrKk1VSKTFJL+Uni9jKSZkq7uhG19R9KKHb1eMzPrWE2VyIA3gOGSVsivdyDdvr4zfAdwIjMza3DNlsgArgFKB1P2By4qzZA0WtJdkqZIulPSunn6ipIulfSwpCsl3SNpVJ736bzM/ZIuk9RX0mHAh4FbJN2S2/1eUoukhyQdW9jmDEnH5uWnS1qvi/aDmZnRnInsYmA/ScsDI4B7CvMeBbaKiI2A/wWOz9O/AcyKiGHAj4FN4L1Kyj8Cto+IjYEW4HsRcSrwPLBtRGyb1/HDiBiVt7mNpBGF7b6cl/89cHiHv2MzM6uo6c5ajIhpkoaQemPXlM0eAJwraSgQQJ88fUvglLz8g5Km5embAcOAOyQBLAvcVWHT+0gaR9png/JypfX8Nf+dDHyutYXzsuMAevdftYZ3amZmtWi6RJZNAH4JjAFWLkw/DrglIvbMyW5iG+sRcENE7F+1kfRRUk9r04iYJekcYPlCk/n57wIq7NOIOAM4A2C5QUOjjbjMzKxGzTi0CHA2cGxETC+bPoBFJ38cWJh+B7APgKRhwAZ5+t3AFpLWyfM+IOljed4coF9+3p90oslsSasBO3fcWzEzs6XRlIksIp7Nx7HKnQScIGkKi/eMfgesKulh4GfAQ8DsiJhJSngX5eHGu4DSyRpnANdKuiUiHgCmkI7BXUhKjGZm1gAU0f1HuST1BvpExFuS1gZuBNaNiLfrEc9yg4bGoLEn12PTDc2VPcysGkmT80l3i2nWY2TttSLpVPo+pONi36hXEgPYYPAAWvylbWbWIXpEIouIOcD7sriZmTW/pjxGZmZmVtIjemSNxtXv28/Hz8ysEvfIzMysqTV1IpP0w1z7cJqkqZI+IelP+Vqx8rYHSjq9g7Y7SlJrp/+bmVkXa9qhRUmbA58FNo6I+blu4rIR8dVO3u4yEdFCqstoZmZ11sw9skGkYr3zASLi5Yh4XtLEQmX7gyQ9LuleYIvSgpKGSLo59+RukvSRPH3XXBl/iqQbcxUPJI2XdL6kO4DzJY0p3QNN0gclXZXXdXdZMWEzM+tkzZzIrgfWyInqd5K2Kc6UNAg4lpTAtiQV+S05DTg3IkYAFwClYcLbgc1y9fyLgSMLywwjVckvr8t4LDAlr+sY4LzWgpU0Lt8GpmXBm7OX4O2amVlrmjaRRcRc0u1YxgEzgUskHVho8glgYkTMzBc/X1KYtzmp1BTA+aREB7A6cJ2k6cARwPqFZSZExLxWQtkyr4OIuBlYWVL/VuI9IyJGRcSo3isOaN+bNTOzipo2kQFExIKImBgRPwG+Cey1lKs8DTg9IjYAvs7iFe7fWMp1m5lZJ2jaRCZp3XzfsZKRwDOF1/eQboC5ci5N9fnCvDuB/fLzA4BJ+Xmxev7YGkOZlNeBpDGk43av1/o+zMxs6TTtWYtAX+A0SQOBd4EnScOMlwNExAuSxpMq2r8GTC0s+y3gz5KOIA1LHpSnjwcukzQLuBn4aJXtl6otjwfOztXz36T2BGhmZh2gR1S/72iS9gJ2i4glSlqjRo2KlhafvW9m1h49vfp9h5G0G/Bz4OB6x2JmZk5k7RYRE4AJ9Y7DzMwSJ7I6qFY02MVxzczap2nPWjQzM4MmTGSS5nbAOs6RtHdHxGNmZvXVdInMzMysqCkTmZL/k/SgpOmS9s3Tx0i6VdLfJD0l6URJB0i6N7dbu7Ca7XPtw8clfTYvP0TSJEn358cnC+udKOlySY9KukCS8rzP5GmTJZ1aKiZsZmZdo1lP9vgcqZLHhsAqwH2SbsvzNgQ+DrwKPAX8KSJGS/o26ULo7+R2Q4DRwNrALZLWAV4CdoiIt3LVkIuA0jULG5FqLz4P3AFsIakF+COwdUQ8LemiSgFLGke6YJve/Vdd+j1gZmZAk/bISIV6L8q1Fl8EbgU2zfPui4gX8u1d/kWqkg8wnZS8Si6NiIUR8QQp4a0H9AHOzEWDL2Pxivn3RsSzEbGQVCVkSF7mqYh4OrepmMhcNNjMrHM0a4+smvmF5wsLrxey+PstL2kSwHeBF0m9ul7AWxXWu4Duue/MzJpOs/bIJgH7SuotaVVga+Dedq7j85J65eNmawGPkYoGv5B7XV8CerexjseAtSQNya/3bWcMZma2lJqqVyFpGVLP6ErSPcUeIPWkjoyI/0parx2r+zcp+fUHDsnHxX4HXCHpy8C1tHHrloiYJ+kbwLWS3gDua/ebMjOzpdJURYMlbQicGRGj6x1LiaS+ETE3n8X4W+CJiPhNtWWWGzQ0Bo09udV5ruxhZta6pi8aLOkQ4DAWnXXYKL4maSywLDCFdBZjVRsMHkCLE5aZWYdoqh5Zd+HbuJiZtV/T98i6k2pFg9vioUczs8U161mLZmZmQA9IZJJWk3RhLlk1WdJdkvbsgPXemf+OcVkqM7P66daJLJ9JeBVwW0SsFRGbAPsBq5e1a/cQa0R8smOiNDOzpdGtExmwHfB2RPyhNCEinomI0yQdKGmCpJuBmyR9QNLZucDwFEm7A0haP0+bKmlarsHY6u1kJG2al127fJ6ZmXWO7n6yx/rA/VXmbwyMiIhXJR0P3BwRB0saCNwr6UbgEOCUiLhA0rJUqPaRK+WfBuweEf/u2LdhZmaVdPce2WIk/VbSA5JKFThuiIhX8/NPA0dJmgpMBJYHPgLcBRwj6QfAmhExr5VVfxw4A9i1UhKTNC7fNqZlwZuzO/BdmZn1bN09kT1E6nUBEBGHAp8CSvdRKZagErBXRIzMj49ExCMRcSGwGzAPuEbSdq1s5wVSgeGNKgXi6vdmZp2juyeym4HlJf1PYdqKFdpeB3yrcMPMjfLftUi3ajkV+BswopVlXwN2AU6QNKaDYjczsxp060QWqWzJHsA2kp6WdC9wLvCDVpofR7of2TRJD+XXAPsAD+Yhx+HAeRW29SLwWeC3kj7Rse/EzMwqcYmqOqhWNLgtruxhZj2VS1Q1EBcNNjPrON16aNHMzLo/JzIzM2tqHlqsg2rV730MzMysfdwjMzOzpla3RCZpQa5f+KCkyyRVur6rI7Y1UdL7znQxM7PmV88e2bxcQWM48DappqGZmVm7NMrQ4iRgHUm7SronV5C/UdJqAJLGSzpX0iRJz0j6nKSTJE2XdK2kPrndJpJuzfcdu07SoOJGJPWSdI6kn+XXV+W2D0kal6f1zm0ezOv/bp7+NUn35VqNV5R6kLntqZLuzPc827sL95uZWY9X90SW7wW2MzAduB3YLCI2Ai4Gjiw0XZt0W5bdgL8At0TEBqQaiLvkZHYasHe+79jZwM8Lyy8DXAA8ERE/ytMOzm1HAYdJWhkYCQyOiOF5/X/Obf8aEZtGxIbAI8BXCuseBGxJquxxYoX36aLBZmadoJ5nLa6Qyz5B6pGdBawLXJJ7UssCTxfa/zMi3pE0nXQrlWvz9OnAkLzscOCGXC6xN6mYb8kfgUsjopjcDivcLXoNYCjwGLCWpNOAfwDX5/nDc09uINCXVJux5KqIWAg8XOpFlouIM0gV8llu0FCXUzEz6yD1TGTzImJkcUJOHr+OiAm5+O74wuz5ABGxUNI7sai21kLS+xDwUERsXmF7dwLbSvpVRLyV1789sHlEvClpIrB8RMyStCGwI+m43T7AwcA5wB4R8YCkA4Ex5bGV3kbtu8DMzJZW3YcWywwAnsvPx7Zz2ceAVSVtDiCpj6T1C/PPAq4BLs3DmQOAWTmJrQdslpdbBegVEVcAP2LRbWD6AS/kIcwD2v/WzMysMzTaBdHjgcskzSLdguWjtS4YEW/nEy1OlTSA9N5OJt2TrNTm13ne+cCBwCGSHiElwbtzs8HAnyWVkvzR+e+PgXuAmflvvyV5g2Zm1rFc/b4ORo0aFS0tLfUOw8ysqVSqft9oQ4tmZmbt4kRmZmZNrdGOkfUI1YoG15uLFptZs3GPzMzMmlq3SWSSQtJfCq+XkTRT0tVtLDemrTZmZta4uk0iA94gVd9YIb/egUXXpJmZWTfVnRIZpAueSwd59gcuKs2QNFrSXbkg8Z2S1i1fuFIbSQdK+msuUPyEpJMKy3xF0uOS7pV0pqTTO/k9mplZQXdLZBcD+0laHhhBunC55FFgq1yQ+H+B41tZvlqbkcC+wAbAvpLWkPRh0oXSmwFbAOtVCsxFg83MOke3OmsxIqZJGkLqjV1TNnsAcK6koUAAfVpZRbU2N0XEbABJDwNrAqsAt0bEq3n6ZcDHKsTmosFmZp2gu/XIACYAv6QwrJgdR7r1y3BgV2D5Vpat1qZYGHgB3exHgJlZs+qOiexs4NiImF42vViQ+MAKy9bSpug+YBtJK+VCxHu1L1QzM1taNSWyfEfmJyTNlvS6pDmSXu/s4JZERDwbEae2Musk4ARJU6jcm6qlTXFbz5GOo90L3AHMAHwAzMysC9VUNFjSk8CuEfFI54fUXCT1jYi5uUd2JXB2RFxZbZnlBg2NQWNP7poA28mVPcysUVUqGlzrcZ4XncQqGi9pe9LxtOuBq9paYIPBA2hxwjAz6xC1JrIWSZeQvqTfO+khIv7aKVE1kYg4vN4xmJn1ZLUmsv7Am8CnC9MC6PGJbEksTdFgD/2ZmS2upkQWEQd1diBmZmZLotazFj8m6SZJD+bXIyT9qHNDMzMza1ut15GdCRwNvAOpggawX2cFtTQkze2AdYyX5GNfZmZNoNZEtmJE3Fs27d2ODqY7UNIdLzQ3M2tItX7hvixpbdIJHkjaG3ih06LqAJKOkHSfpGmSjs3Thkh6VNI5uWL9BZK2l3RHvuB7dGEVG+ZK+E9I+loN631M0nnAg8AaXfpmzcx6sFrPWjyUVPB2PUnPAU8DB3RaVEtJ0qeBocBoQMAESVsD/wbWAT4PHEwqMfUFYEtgN+AYYI+8mhGkqvYfAKZI+gcwvMp6hwJjI+LuCjGNA8YB9O6/age/YzOznqvWRBYRsb2kDwC9ImKOpI92ZmBL6dP5MSW/7ktKNP8Gni7VYZT0EKmqfUiaDgwprONvETEPmCfpFlLy2rLKep+plMTA1e/NzDpLrYnsCmDjiHijMO1yYJOOD6lDCDghIv642MR0i5diFfuFhdcLWXx/lCebaGO9b2BmZl2u6jEySetJ2gsYkAsHlx4H0vptUBrFdcDBkvoCSBos6UPtXMfukpaXtDIwhjQM2RHrNTOzDtRWj2xd4LPAQNL9uUrmAF9rdYk6yoV750fE9ZI+DtwlCWAu8EXSfcRqNQ24hXTzzOMi4nng+Q5Yr5mZdaBaq99vHhF3dUE8S0XShsCZETG6zcZ1NGrUqGhpaal3GGZmTWVpq99PkXQosD6FIcWIOLiD4ltqkg4BDgO+U+9YzMys69R6Hdn5wP8DdgRuBVYnDS82jIj4Q0QMi4jr6x2LmZl1nVqHFqdExEaSpkXECEl9gEkRsVnnh9j9VLuxpqvbm5m1rtLQYq09snfy39ckDQcGAD5bz8zM6q7WRHaGpJWAHwMTgIeBX9S6EUkLJE2V9ICk+yV9cglibXiSdpN0VL3jMDPrSWq9H9mf8tNbgbWWYDvzImIkgKQdgROAbZZgPQ0tIiaQEr2ZmXWRWu9HtrKk03JvarKkk/OFwkuiPzArr7dvvs/Z/ZKmS9o9Tx8i6RFJZ0p6SNL1klaQtLak+wtxDS29ljRD0ir5+ShJE/Pz6ZIG5qr0r0j6cp5+nqQd8rYm5Rje6y1KGiNpoqTLc6HhC5QvHpP0mTxtsqRTJV2dpx8o6fQl3C9mZrYEah1avBh4CdgL2Bt4GbikHdtZIQ8tPgr8CTguT38L2DMiNga2BX5VShakGoa/jYj1gdeAvSLiX8BsSSNzm4OAP7ex7TuALUiXDjwFbJWnbw7cmd/XDjmGfYFTC8tuRDqdfxipJ7qFpOWBPwI7R8QmQE0VgCWNk9QiqWXBm7NrWcTMzGpQayIbFBHHRcTT+fEzYLV2bGdeRIyMiPWAnYDzcsIScLykacCNwODCep+OiKn5+WQWFfT9E3CQpN6kxHNhG9ueBGydH78HNpA0GJiVa0f2Ac7MRYMvIyWtknsj4tmIWAhMzTGsBzwVEU/nNhfVsgMi4oyIGBURo3qvOKCWRczMrAa1JrLrJe0nqVd+7EOqO9huuULIKqSezAH57yb5GNqLLLrguljcdwGLjuddAexMKp01OSJeydPfLbyfYh3I20i9sK2AicBMUq9yUp7/3bzdDYFRwLKFZSvFYGZmDaLWRPY1Us/n7fy4GPi6pDmSXm/PBiWtB/QGXiGdxv9SRLwjaVtgzbaWj4i3SEn09yw+rDiDRdX49yq0/w8pcQ6NiKeA24HDSQmOHMMLudf1pRxbNY8Ba+WK95B6hWZmVic1JbKI6BcRvSJimfzolaf1i4j+NayidIxsKunY2tiIWABcAIzKw3pfBh6tMe4LSLddKVbxOBY4RVIL7y/iew/weH4+iTSEeXt+/TtgrKQHSMOGVW/Hku9R9g3gWkmTSRVOfNDLzKxOaq3ssXVr0yPittamdzZJhwMDIuLHddp+34iYm4/z/RZ4IiJ+U+vyLhpsZtZ+S1s0+IjC8+VJd0ueDGzXAbG1i6QrgbXrse2Cr0kaSzqeNoV0FqOZmdVBrRdEF+9FhqQ1gNaLBXayiNizHtsti+E3QM09MDMz6zxLehbes8DHOzKQnmT6c7MZctQ/OmXdLjpsZj1NTYlM0mlA6WBaL2AkcH/lJczMzLpGrT2y4pkJ7wIXRcQdnRAPAJLmRkTfzlp/2bYOAd6MiPO6YntmZtaxaj1Gdq6kZUmnpwfpWqpuISL+UO8YzMxsydVaNPgzwL9IdQhPB56UtHNnBtZKDBMljcrPV5E0Iz8/UNJVkm7IhYO/Kel7kqZIulvSB3O7r0m6L99K5gpJK+bp4/Pp/NXanJOLA98p6SlJe+fpvST9LhcQvkHSNaV5ZmbWNWqt7PFrYNuIGBMR25AK/DbSWXvDgc8BmwI/Jw0VbgTcRbrQGuCvEbFpRGwIPAJ8pZX1VGszCNiSVBrrxDztc6T6i8NIVUE2rxSgiwabmXWOWhPZnIh4svD6KVJFi0ZxS0TMiYiZpCobf8/Tp7Oo2PDwfLuW6aQaj+u3sp5qba6KiIUR8TCLChtvCVyWp/8XuKVSgC4abGbWOaoeI5P0ufy0RdI1wKWkY2SfB+7r5NjKVSoKDIsX911YeL2QRe/xHGCPiHhA0oHAmFa2Ua1NcRvCzMwaQls9sl3zY3lShfhtSF/uM4EVOjWy95vBoqLAS3Icqh/wgqQ+pN7WkrYpugPYKx8rW43Wk6OZmXWiqj2yiDioqwIps6KkZwuvfw38ErhU0jhgSa4m/jGpePDM/LdfYV7U0KY1VwCfAh4G/kO6ts4HwMzMulCtRYOXJ534sD6FYb2IOLjzQusa+WLv+yOirTtNV1q+VEB4ZeBeYIt8vKyi5QYNjUFjO6fClyt7mFl3tQsIN2cAABNNSURBVLRFg88n3WJlR+CnpGG3RzouvPqQdBzwCWD8UqzmakkDSQWEj2sriQFsMHgALU44ZmYdotYe2ZSI2EjStIgYkY8hTYqIzTo/xO7Ht3ExM2u/pe2RvZP/viZpOPBf4EMdFVxPszRFgz10aGa2uFoT2RmSVgJ+BEwA+pJOjDAzM6urqqff5/uOERF/iohZEXFbRKwVER8CnuuSCM3MzKpo6zqyGyQNKZ8o6SDglM4IqLNImlt4/hlJj0tas8ZlD5R0en5+iKQvV2hXcZ6ZmXWOtoYWvwdcL2mXiHgCQNLRwBdIF0c3HUmfIhU/3jEinmnv8pWq5UtaxpX0zcy6XlsXRF8jaT7wT0l7AF8FRgNbR8SsrgiwI0naGjgT+ExE/CtP+yJwGOn0+XuAb0TEgtzrPBp4DXiAXKJK0nhgbkT8UtJEYCqp5uJFkvqV5nXpGzMz68HaLBocETcBBwETgbWA7ZoxiQHLAVeRaik+CiDp48C+pIuYRwILgAMkDQKOBbYgJalhVda7bC4G/KtqG3f1ezOzztFW0eA5pPJNIiWCTwEvSRIQEdG/80PsMO8Ad5IqlHw7T/sUqX7jfektsQLwEuki6Ym5mj6SLgE+VmG9l9Sy8Yg4AzgDUmWPJXsLZmZWrq2hxbZqDTaThcA+wE2SjomI40kJ+tyIOLrYMA+j1uqNDozRzMzaqdb7kXULEfEmsAtp+PArwE3A3pI+BCDpg/lMxnuAbSStnKuYfL5uQZuZWVW1XhDdbUTEq5J2Am4jDTH+iHRmZi/S8OOhEXF3PqnjLtLJHlPrFa+ZmVVXU61F61iutWhm1n6Vai32qKFFMzPrfpzIzMysqfW4Y2SNYGmq35uZNavOunuHe2RmZtbUGj6RSfqhpIckTZM0VdInOmCdYyRd3RHxmZlZfTX00KKkzYHPAhtHxHxJq5BqItay7DIR8W6nBmhmZnXX6D2yQcDLETEfICJejojnJc3ISQ1Jo3LxXiSNl3S+pDuA8yUNkTRJ0v358cnCuvtL+oekxyT9IV9HhqTf55qID0k6Nk/bTtJVpQUl7SDpykrtzcys6zR6IrseWCPfO+x3kmq5dcwwYPuI2J9UN3GHiNiYVBz41EK70cC3cvu1gc/l6T/M1ymMIFX3GAHcAqwnadXc5iDg7Crt38dFg83MOkdDJ7KImEsq6jsOmAlcIunANhabEBHz8vM+wJmSpgOXsXgV+3sj4qmIWABcRKpyD7CPpPuBKcD6wLBIV42fD3xR0kBgc+CfldpXeC9n5Cr5o3qvOKDGPWBmZm1p6GNkADnRTAQm5oQ0FniXRUl4+bJFikV8vwu8CGyY279VXHX5piR9FDgc2DQiZkk6p7D+PwN/z+u4LCLebaO9mZl1gYbukUlaV9LQwqSRwDPADFJPDWCvKqsYALwQEQuBLwG9C/NGS/poPja2L3A70J+UCGdLWg3YudQ4Ip4HnifVZvxznlyxvZmZdY1G75H1BU7Lw3nvAk+Shhk/Dpwl6ThSb62S3wFXSPoycC2L99buA04H1iEdA7syIhZKmgI8CvwHuKNsfRcAq0bEIwAR8UAb7c3MrJO5aHA7SDodmBIRZy3Nelw02Mys/SoVDW70HlnDkDSZ1KP7fr1jMTOzRZzIahQRm7TdyszMupoTWR1UKxrcWUU1zcy6q4Y+a9HMzKwtPTqRSVqQCxE/0EoJq9baD5T0ja6Kz8zM2tajExkwLyJGRsSGwNHACW20Hwg4kZmZNZCensiK+gOzACT1lXRT7qVNl7R7bnMisHbuxf1f+e1gJJ1eQwktMzPrQD39ZI8VJE0llZUaBGyXp78F7BkRr+cq+3dLmgAcBQyPiJGQ7mtWh5jNzKygpyeyeYWktDlwnqThgIDjJW0NLAQGA6stzYYkjSNVJaF3/1XbaG1mZrXq6YnsPRFxV+59rQp8Jv/dJCLekTSD1osBF4sXU6FNaf1nAGcALDdoqMupmJl1EB8jyyStRyoq/Aqp2PBLOYltC6yZm80B+hUWewYYJmm5XA/yU10Zs5mZuUdWOkYGaThxbEQskHQB8Pd825gWUlFgIuIVSXdIehD4Z0QcIelS4EHgadI9yczMrAv16EQWEb0rTH+ZdPPM1uZ9oez1kcCRHR+dmZnVokcnsnrZYPAAWlyKysysQ/gYmZmZNTUnMjMza2oeWqyDatXvO5ur65tZd+MemZmZNbWGTGSSfijpIUnTcl3DT0j6k6Rhef4xNa5noqT33Ra7A+IbL+nwjl6vmZm1X8MNLeZSUZ8FNo6I+bnaxrIR8dVCs2OA4+sSoJmZNZRG7JENAl6OiPmQrumKiOdLvStJJ5IvZJZ0gaQh+QJlACQdLml8YX1fym0flDQ6t/mgpKtyj+9uSSPy9PGSzs7bekrSYYX1/lDS45JuB9YtTB+Z1zFN0pWSVurUvWNmZotpxER2PbBGThq/k7RNcWZEHMWi+4gdUMP6VsyFgb8BnJ2nHQtMiYgRpN7deYX26wE7AqOBn0jqI2kTYD9gJKkO46aF9ucBP8jrmg78pLUgJI2T1CKpZcGbs2sI28zMatFwiSwi5gKbkCrFzwQuWcp7fF2U13sb0D/XRNwSOD9PvxlYWVL/3P4fETE/V/d4iVT1fivgyoh4MyJeByYASBoADIyIW/Oy5wJbV3hfZ0TEqIgY1XvFAUvxdszMrKjhjpEBRMQCYCIwMdc7HFuleVsV6MsrzbdVeX5+4fkCGnQfmZlZ0nA9MknrShpamDSSVGW+6B1JffLzF4EPSVpZ0nKkE0WK9s3r3RKYHRGzgUnAAXn6GNIxuderhHUbsIekFST1A3YFyOuaJWmr3O5LwK0V1mFmZp2gEXsbfYHT8hDgu8CTpGHGywttzgCmSbo/Ig6Q9FPgXuA5cqX6grckTQH6AAfnaeOBsyVNA96keo+PiLhf0iXAA6ThxvsKs8cCf5C0IvAUcFA736+ZmS0FRfgej11t1KhR0dLSUu8wzMyaiqTJEfG+a4MbbmjRzMysPZzIzMysqTXiMbJur1rRYBf1NTNrH/fIzMysqXVKj0zSysBN+eX/I12PNTO/Hh0RbxfaDgGujojhnRGLmZl1b52SyCLiFdL1X+S6h3Mj4pedsS0zM+vZumxoUdI5kvYuvJ7bSpsDJZ1eeH11vmAZSXMl/VzSA7lI72p5+tr59XRJPyutV1JfSTdJuj/P272w3h9LekzS7ZIuKt2SpXjbF0mrSJpRiOuvkq6V9ISkkwrr+kquC3mvpDOL8ZuZWedrpmNkHwDujogNSZU2vpannwKcEhEbAM8W2r8F7BkRGwPbAr9SsimwF7AhsDNQ6/3KRpKqhGwA7CtpDUkfBn4MbAZsQSo43CoXDTYz6xzNlMjeBq7OzycDQ/LzzYHL8vMLC+0FHJ+rd9wIDCYVAN4C+FtEvBURc4C/17j9myJidkS8BTwMrEmqkH9rRLwaEe8U4ngfFw02M+scXXn6/XvFfSX1Apat1iYrFgB+JxaVIamlmO8BwKrAJhHxTh4mLC8oXG375W1dTNjMrAF1ZY9sBun2LAC7kWofttZmpKRektYg9XjacjdpqBDSPcNKBgAv5SS2LakHBXAHsKuk5SX1ZfEiw8UY96Zt9wHbSFpJ0jKFOMzMrIt0ZSI7k/Sl/wBpOPCNVtrcATxNGro7Fbi/hvV+B/heHkJcBygdgLoAGJVvA/NlcjHhiLiPdD+xacA/STfDLC3zS+B/cpHhVdracEQ8BxxPKlh8BykR+gCYmVkXavqiwbnq/LyICEn7AftHxO5tLNM3IubmZW8DxkVELUmz2rqWAa4Ezo6IK6sts9ygoTFo7MmtznNlDzOz1lUqGtwdjvNsApwuScBrLLpVSzVnSBpGOg527pImsWy8pO3zuq4HrmprgQ0GD6DFCcvMrEM0fSKLiEmkU+nbs8wXOnD7h3fUuszMrP2aPpE1IxcNNjPrOM10HZmZmdn79LhEJmmBpKm51NX9kj6Zpw+R9GB+PkrSqfn5mFIbMzNrPD1xaHFeRJQKGu8InABsU2wQES1AS345BpgL3FnrBiQtExHvdki0ZmZWVY/rkZXpD8wqn5h7YVfnW8wcAnw39+K2krSrpHskTZF0Y6F48XhJ50u6Azi/K9+EmVlP1hN7ZCtImko6XX4QsF2lhhExQ9IfKNyGRtJKwGb5urWvAkcC38+LDAO2jIh5nfoOzMzsPT0xkRWHFjcHzpPUnpt6rg5cImkQqV7k04V5EyolMUnjgHEAvfuvukSBm5nZ+/XoocWIuItUiqo9meU04PR825ivs3hx4dbKbpW25er3ZmadoEcnMknrAb2BV6o0mwP0K7weADyXn4/tpNDMzKxGPXFosXSMDNI9y8ZGxIJU4apVfwcuz3eY/hYwHrhM0izgZuCjnRyvmZlV0eMSWUT0rjB9BjA8P58ITMzPHwdGlDX/WyvLj++4KM3MrFY9LpE1AhcNNjPrOD36GJmZmTU/JzIzM2tqTmRmZtbUnMjMzKypOZGZmVlTcyIzM7Om5kRmZmZNzYnMzMyamhOZmZk1NUVEvWPocSTNAR6rdxwVrAK8XO8gWtGocYFjW1KObcn01NheBoiIncpnuERVfTwWEaPqHURrJLU0YmyNGhc4tiXl2JaMY3s/Dy2amVlTcyIzM7Om5kRWH2fUO4AqGjW2Ro0LHNuScmxLxrGV8ckeZmbW1NwjMzOzpuZEZmZmTc2JrAtJ2knSY5KelHRUveMpkjRD0nRJUyW11DmWsyW9JOnBwrQPSrpB0hP570oNFNt4Sc/lfTdV0mfqFNsakm6R9LCkhyR9O0+v+76rEltd952k5SXdK+mBHNexefpHJd2T/69eImnZroyrjdjOkfR0YZ+N7OrYCjH2ljRF0tX5dV32mxNZF5HUG/gtsDMwDNhf0rD6RvU+20bEyAa4RuUcoPyix6OAmyJiKHBTfl0P5/D+2AB+k/fdyIi4potjKnkX+H5EDAM2Aw7Nn7FG2HeVYoP67rv5wHYRsSEwEthJ0mbAL3Jc6wCzgK90cVzVYgM4orDPptYhtpJvA48UXtdlvzmRdZ3RwJMR8VREvA1cDOxe55gaUkTcBrxaNnl34Nz8/Fxgjy4NKqsQW0OIiBci4v78fA7pC2YwDbDvqsRWV5HMzS/75EcA2wGX5+n12meVYmsIklYHdgH+lF+LOu03J7KuMxj4T+H1szTAf+SCAK6XNFnSuHoH04rVIuKF/Py/wGr1DKYV35Q0LQ891mXYs0jSEGAj4B4abN+VxQZ13nd5eGwq8BJwA/Av4LWIeDc3qdv/1fLYIqK0z36e99lvJC1Xj9iAk4EjgYX59crUab85kVnJlhGxMWno81BJW9c7oEoiXTPSML9Mgd8Da5OGf14AflXPYCT1Ba4AvhMRrxfn1XvftRJb3fddRCyIiJHA6qSRk/W6OoZKymOTNBw4mhTjpsAHgR90dVySPgu8FBGTu3rbrXEi6zrPAWsUXq+epzWEiHgu/30JuJL0H7qRvChpEED++1Kd43lPRLyYv3AWAmdSx30nqQ8pUVwQEX/Nkxti37UWWyPtu4h4DbgF2BwYKKlUi7bu/1cLse2Uh2kjIuYDf6Y++2wLYDdJM0iHSbYDTqFO+82JrOvcBwzNZ/UsC+wHTKhzTABI+oCkfqXnwKeBB6sv1eUmAGPz87HA3+oYy2JKSSLbkzrtu3yM4izgkYj4dWFW3fddpdjqve8krSppYH6+ArAD6fjdLcDeuVm99llrsT1a+FEi0jGoLv+8RcTREbF6RAwhfZfdHBEHUKf95soeXSifWnwy0Bs4OyJ+XueQAJC0FqkXBumOCBfWMzZJFwFjSLeEeBH4CXAVcCnwEeAZYJ+I6PKTLirENoY0NBbADODrhWNSXRnblsAkYDqLjlscQzoWVdd9VyW2/anjvpM0gnRSQm/SD/tLI+Kn+f/ExaShuynAF3MPqMtUie1mYFVAwFTgkMJJIV1O0hjg8Ij4bL32mxOZmZk1NQ8tmplZU3MiMzOzpuZEZmZmTc2JzMzMmpoTmZmZNTUnMrNuSNKCXBn9QUmXSVqxnct/WNLl+fnIYlV6Sbsp370hX+t0T66AvlXHvguz2vj0e7NuSNLciOibn18ATC67SLo96zoQGBUR32xl3n7A9hHx1aWJ12xpOJGZdUNliewQYATwI+BsYC3gTWBcREyTtA2pvBCkC5O3JhWAvRrYGHgSWIFUbuiE/HwUqer5hMK8zSNiXpe8QbMCDy2adWO57t3OpIoaxwJTImIEqarGebnZ4cChuTjtVsB7ySjfcuh/gUvyva8uKcybWjbPSczqwonMrHtaId/+owX4N6nO4ZbA+QARcTOwsqT+wB3AryUdBgws3IbDrCks03YTM2tC83IP6z2pxuz7RcSJkv4BfAa4Q9KOwFudH6JZx3CPzKznmAQcAO8Ven05Il6XtHZETI+IX5Du0lB+P645QL8ujdSsHZzIzHqO8cAmkqYBJ7Lo1i7fyafpTwPeAf5ZttwtwLB8Ov++XRatWY181qKZmTU198jMzKypOZGZmVlTcyIzM7Om5kRmZmZNzYnMzMyamhOZmZk1NScyMzNrav8fTkTUpDviECcAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## **2. Membuat statistik diskriptif dari data (bertipe numerik)**"],"metadata":{"id":"aJdyUWSM30Tc"}},{"cell_type":"markdown","source":["**Rumus mean :** <br>\n",">  𝓶  = $\\frac {Σxˌ}{𝓷}$<br>\n","\n","```\n","  ket:\n","  - 𝓶 = mean/ nilai rata - rata \n","  - 𝒙ˌ = jumlah data\n","  - 𝓷  = banyaknya data\n","```\n","\n","**Rumus Max :**<br>\n",">  Nilai Terakhir dari 𝐗[n] ;<br>\n","\n","```\n","  ket:\n","  - 𝐗 = Daftar nilai yang di urutkan dalam set data\n","  - n = Jumlah nilai dalam set data\n","```\n","**Rumus Min :**<br>\n",">  Nilai Pertama dari 𝐗[n] ;<br>\n","\n","```\n","  ket:\n","  - 𝐗 = Daftar nilai yang di urutkan dalam set data\n","  - n = Jumlah nilai dalam set data\n","```\n","**Rumus Simpangan Baku :**<br>\n",">  𝞼 =  $\\sqrt{\\frac{Σ(𝒙ˌ-𝜇)^2}{N}} $\n","\n","```\n","  ket:\n","  - 𝞼  = Simpangan baku populasi\n","  - N  = Jumlah Populasi\n","  - 𝔁ᵢ = Setiap nilai dari populasi\n","  - 𝞵  = rata - rata populasi\n","```\n","**Rumus Median :**<br>\n","> Med(𝑿) = 𝑿[$\\frac{n}{2}$] ; Jika n Genap <br><br>\n","> Med(𝑿) = $\\frac{𝑿[\\frac{n-1}{2}]+ 𝑿[\\frac{n+1}{2}]}{2}$ ; Jika n Ganjil\n","\n","```\n","  ket:\n","  𝑿 = Daftar nilai yang diurutkan dalam set data\n","  n = Jumlah nilai dalam set data\n","```\n","\n","**Rumus Rentang Data / Range :**\n","> R = 𝐱 max - 𝐱 min\n","\n","```\n","  ket:\n","  R = Rentang data\n","  x = nilai dari suatu kumpulan data\n","```\n","\n","Rumus Quartil: \n","> $Q_i = Tb +[\\frac{\\frac{1}{4}n-f_k}{f_i}]$\n","\n","```\n","  ket:\n","  Q = kuartil ke -i\n","  n = banyak data\n","  f = frekuensi kelas ke - i\n","  b = tepi bawah\n","```"],"metadata":{"id":"hvbDBgZMs1VY"}},{"cell_type":"markdown","source":["### Dengan Menggunakan libary langsung"],"metadata":{"id":"LsBm4pL08DzL"}},{"cell_type":"code","source":["dataDis = df.describe()\n","for i in dataDis:\n","  plt.plot(dataDis[i],label=i)\n","  plt.legend()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":265},"id":"9AN1PV3k54iz","executionInfo":{"status":"ok","timestamp":1662100922012,"user_tz":-420,"elapsed":1625,"user":{"displayName":"Caca Erha","userId":"13359221303846732984"}},"outputId":"1557f1eb-574d-4e98-865b-c1bcd7701487"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["### Dengan Pencarian Manual data diskriptif Positif"],"metadata":{"id":"YxpYnIePDpnd"}},{"cell_type":"code","source":["x = ['median','mean', 'kasus max','kasus min','sim_baku', 'rentang_data']\n","mean_Positif = df.Positif.mean()\n","kasus_Positifmax = df.Positif.max()\n","kasus_Positifmin = df.Positif.min()\n","simpanganBaku_Positif = df.Positif.std()\n","rentangData_Positif = df.Positif.max() - df.Positif.min()\n","median_Positif = df.Positif.median()"],"metadata":{"id":"yjab9NwD-VWz"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### data diskriptif Odp"],"metadata":{"id":"7ZLDHAqADvXn"}},{"cell_type":"code","source":["mean_odp = df.Odp.mean()\n","kasus_Odpmax = df.Odp.max()\n","kasus_Odpmin = df.Odp.min()\n","simpanganBaku_odp = df.Odp.std()\n","rentangData_odp = df.Odp.max() - df.Odp.min()\n","median_Odp = df.Odp.median()"],"metadata":{"id":"ctbbd8RE-W26"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### data diskriptif Pdp"],"metadata":{"id":"oLWyRqmqDxXh"}},{"cell_type":"code","source":["mean_Pdp = df.Pdp.mean()\n","kasus_Pdpmax = df.Pdp.max()\n","kasus_Pdpmin = df.Pdp.min()\n","simpanganBaku_Pdp = df.Pdp.std()\n","rentangData_Pdp = df.Pdp.max() - df.Pdp.min()\n","median_Pdp = df.Pdp.median()"],"metadata":{"id":"1puA2mVa_XTw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\n","plt.plot(x,[median_Positif,mean_Positif,kasus_Positifmax,kasus_Positifmin,simpanganBaku_Positif,rentangData_Positif],color='r',label='Positif')\n","plt.plot(x,[median_Odp,mean_odp,kasus_Odpmax,kasus_Odpmin,simpanganBaku_odp,rentangData_odp],color= 'g' , label = 'Odp')\n","plt.plot(x,[median_Pdp,mean_Pdp,kasus_Pdpmax,kasus_Pdpmin,simpanganBaku_Pdp,rentangData_Pdp],color= 'b' , label = 'Pdp')\n","plt.xlabel(\"Data\")\n","plt.ylabel(\"Angka\")\n","plt.title(\"Statistik Diskriptif Covid19 Jatim 30-3-2020\")\n","plt.legend()\n","plt.show()"],"metadata":{"id":"yXSimQYZ8GUR","colab":{"base_uri":"https://localhost:8080/","height":296},"executionInfo":{"status":"ok","timestamp":1662101114871,"user_tz":-420,"elapsed":867,"user":{"displayName":"Caca Erha","userId":"13359221303846732984"}},"outputId":"1498493c-e835-4723-8afe-4e3fe6e7016b"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["## **3. Mendeskripsikan Skewned dari data setiap variable (bertipe numerik)**"],"metadata":{"id":"JZSX_ZGb9xjH"}},{"cell_type":"markdown","source":["**Rumus SKEW / ukuran kemiringan :** \n","> Sk = $\\frac{3(𝜇 - Med)}{σ} $\n","\n","```\n","  ket:\n","  Sk  = skew / ukuran kemiringan\n","  𝜇   = nilai rata - rata hitung\n","  Med = median\n","  σ   = simpangan baku / standar deviasi\n","```"],"metadata":{"id":"xc5YfRXpKn88"}},{"cell_type":"code","source":["data_num = df.select_dtypes(['int64','float64'])\n","for colom in data_num:\n","  print(' ')\n","  print(colom)\n","  print(skew(data_num[colom]))\n","  plt.figure()\n","  sns.displot(data_num[colom],kde=True)\n","  plt.title(\"Skew Data tipe Numerik\")\n","  plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"CmkX3j2W98HJ","executionInfo":{"status":"ok","timestamp":1661958996843,"user_tz":-420,"elapsed":1860,"user":{"displayName":"Caca Erha","userId":"13359221303846732984"}},"outputId":"ba9b2902-06c1-4e40-a99b-7b4aaf8405af"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":[" \n","Positif\n","4.959147108941667\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure size 360x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stdout","text":[" \n","Sembuh\n","0.0\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure size 360x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stdout","text":[" \n","Meninggal\n","0.0\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure size 360x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stdout","text":[" \n","Odp\n","1.4310829984067657\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure size 360x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}},{"output_type":"stream","name":"stdout","text":[" \n","Pdp\n","2.479893820178332\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 0 Axes>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure size 360x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.0"},"colab":{"provenance":[],"collapsed_sections":["L-O2gjn26gj_","LsBm4pL08DzL","7ZLDHAqADvXn"]}},"nbformat":4,"nbformat_minor":0}