TASK_2_Unemployment_analysis_using_python.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.express as px"
      ]
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    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv(\"/content/drive/MyDrive/Datasets/Unemployment in India.csv\")\n",
        "df=pd.read_csv(\"/content/drive/MyDrive/Datasets/Unemployment_Rate_upto_11_2020.csv\")\n",
        "df"
      ],
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              "             Region         Date  Frequency   Estimated Unemployment Rate (%)  \\\n",
              "0    Andhra Pradesh   31-01-2020          M                              5.48   \n",
              "1    Andhra Pradesh   29-02-2020          M                              5.83   \n",
              "2    Andhra Pradesh   31-03-2020          M                              5.79   \n",
              "3    Andhra Pradesh   30-04-2020          M                             20.51   \n",
              "4    Andhra Pradesh   31-05-2020          M                             17.43   \n",
              "..              ...          ...        ...                               ...   \n",
              "262     West Bengal   30-06-2020          M                              7.29   \n",
              "263     West Bengal   31-07-2020          M                              6.83   \n",
              "264     West Bengal   31-08-2020          M                             14.87   \n",
              "265     West Bengal   30-09-2020          M                              9.35   \n",
              "266     West Bengal   31-10-2020          M                              9.98   \n",
              "\n",
              "      Estimated Employed   Estimated Labour Participation Rate (%) Region.1  \\\n",
              "0               16635535                                     41.02    South   \n",
              "1               16545652                                     40.90    South   \n",
              "2               15881197                                     39.18    South   \n",
              "3               11336911                                     33.10    South   \n",
              "4               12988845                                     36.46    South   \n",
              "..                   ...                                       ...      ...   \n",
              "262             30726310                                     40.39     East   \n",
              "263             35372506                                     46.17     East   \n",
              "264             33298644                                     47.48     East   \n",
              "265             35707239                                     47.73     East   \n",
              "266             33962549                                     45.63     East   \n",
              "\n",
              "     longitude  latitude  \n",
              "0      15.9129    79.740  \n",
              "1      15.9129    79.740  \n",
              "2      15.9129    79.740  \n",
              "3      15.9129    79.740  \n",
              "4      15.9129    79.740  \n",
              "..         ...       ...  \n",
              "262    22.9868    87.855  \n",
              "263    22.9868    87.855  \n",
              "264    22.9868    87.855  \n",
              "265    22.9868    87.855  \n",
              "266    22.9868    87.855  \n",
              "\n",
              "[267 rows x 9 columns]"
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              "      <th>Region</th>\n",
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              "      <th>Frequency</th>\n",
              "      <th>Estimated Unemployment Rate (%)</th>\n",
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              "      <td>Andhra Pradesh</td>\n",
              "      <td>31-01-2020</td>\n",
              "      <td>M</td>\n",
              "      <td>5.48</td>\n",
              "      <td>16635535</td>\n",
              "      <td>41.02</td>\n",
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              "      <td>15.9129</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Andhra Pradesh</td>\n",
              "      <td>29-02-2020</td>\n",
              "      <td>M</td>\n",
              "      <td>5.83</td>\n",
              "      <td>16545652</td>\n",
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              "      <td>M</td>\n",
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              "      <td>15881197</td>\n",
              "      <td>39.18</td>\n",
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              "      <th>3</th>\n",
              "      <td>Andhra Pradesh</td>\n",
              "      <td>30-04-2020</td>\n",
              "      <td>M</td>\n",
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              "      <td>11336911</td>\n",
              "      <td>33.10</td>\n",
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              "      <td>79.740</td>\n",
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              "      <th>4</th>\n",
              "      <td>Andhra Pradesh</td>\n",
              "      <td>31-05-2020</td>\n",
              "      <td>M</td>\n",
              "      <td>17.43</td>\n",
              "      <td>12988845</td>\n",
              "      <td>36.46</td>\n",
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              "      <td>15.9129</td>\n",
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              "      <th>262</th>\n",
              "      <td>West Bengal</td>\n",
              "      <td>30-06-2020</td>\n",
              "      <td>M</td>\n",
              "      <td>7.29</td>\n",
              "      <td>30726310</td>\n",
              "      <td>40.39</td>\n",
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              "      <td>22.9868</td>\n",
              "      <td>87.855</td>\n",
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              "      <th>263</th>\n",
              "      <td>West Bengal</td>\n",
              "      <td>31-07-2020</td>\n",
              "      <td>M</td>\n",
              "      <td>6.83</td>\n",
              "      <td>35372506</td>\n",
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              "      <td>West Bengal</td>\n",
              "      <td>31-08-2020</td>\n",
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              "      <td>West Bengal</td>\n",
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              "      <td>M</td>\n",
              "      <td>9.35</td>\n",
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              "(267, 9)"
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        "outputId": "e6e0edd9-4a63-4f5a-ddbd-66a267ab4b65"
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      "outputs": [
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 267 entries, 0 to 266\n",
            "Data columns (total 9 columns):\n",
            " #   Column                                    Non-Null Count  Dtype  \n",
            "---  ------                                    --------------  -----  \n",
            " 0   Region                                    267 non-null    object \n",
            " 1    Date                                     267 non-null    object \n",
            " 2    Frequency                                267 non-null    object \n",
            " 3    Estimated Unemployment Rate (%)          267 non-null    float64\n",
            " 4    Estimated Employed                       267 non-null    int64  \n",
            " 5    Estimated Labour Participation Rate (%)  267 non-null    float64\n",
            " 6   Region.1                                  267 non-null    object \n",
            " 7   longitude                                 267 non-null    float64\n",
            " 8   latitude                                  267 non-null    float64\n",
            "dtypes: float64(4), int64(1), object(4)\n",
            "memory usage: 18.9+ KB\n"
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      "source": [
        "df.isna().sum()    # Checking for any Null Value"
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              "Region                                      0\n",
              " Date                                       0\n",
              " Frequency                                  0\n",
              " Estimated Unemployment Rate (%)            0\n",
              " Estimated Employed                         0\n",
              " Estimated Labour Participation Rate (%)    0\n",
              "Region.1                                    0\n",
              "longitude                                   0\n",
              "latitude                                    0\n",
              "dtype: int64"
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      "source": [
        "df.columns=[\"States\",\"Date\",\"Frequency\",\"Estimated Unemployment Rate\",\"Estimated Employed\",\"Estimated Labour Participation Rate\",\"Region\",\"Logitude\",\"Latitude\"]\n",
        "df"
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      "execution_count": 16,
      "outputs": [
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          "data": {
            "text/plain": [
              "             States         Date Frequency  Estimated Unemployment Rate  \\\n",
              "0    Andhra Pradesh   31-01-2020         M                         5.48   \n",
              "1    Andhra Pradesh   29-02-2020         M                         5.83   \n",
              "2    Andhra Pradesh   31-03-2020         M                         5.79   \n",
              "3    Andhra Pradesh   30-04-2020         M                        20.51   \n",
              "4    Andhra Pradesh   31-05-2020         M                        17.43   \n",
              "..              ...          ...       ...                          ...   \n",
              "262     West Bengal   30-06-2020         M                         7.29   \n",
              "263     West Bengal   31-07-2020         M                         6.83   \n",
              "264     West Bengal   31-08-2020         M                        14.87   \n",
              "265     West Bengal   30-09-2020         M                         9.35   \n",
              "266     West Bengal   31-10-2020         M                         9.98   \n",
              "\n",
              "     Estimated Employed  Estimated Labour Participation Rate Region  Logitude  \\\n",
              "0              16635535                                41.02  South   15.9129   \n",
              "1              16545652                                40.90  South   15.9129   \n",
              "2              15881197                                39.18  South   15.9129   \n",
              "3              11336911                                33.10  South   15.9129   \n",
              "4              12988845                                36.46  South   15.9129   \n",
              "..                  ...                                  ...    ...       ...   \n",
              "262            30726310                                40.39   East   22.9868   \n",
              "263            35372506                                46.17   East   22.9868   \n",
              "264            33298644                                47.48   East   22.9868   \n",
              "265            35707239                                47.73   East   22.9868   \n",
              "266            33962549                                45.63   East   22.9868   \n",
              "\n",
              "     Latitude  \n",
              "0      79.740  \n",
              "1      79.740  \n",
              "2      79.740  \n",
              "3      79.740  \n",
              "4      79.740  \n",
              "..        ...  \n",
              "262    87.855  \n",
              "263    87.855  \n",
              "264    87.855  \n",
              "265    87.855  \n",
              "266    87.855  \n",
              "\n",
              "[267 rows x 9 columns]"
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              "      <th>States</th>\n",
              "      <th>Date</th>\n",
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              "      <th>Estimated Unemployment Rate</th>\n",
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              "      <td>Andhra Pradesh</td>\n",
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              "      <th>3</th>\n",
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              "      <td>20.51</td>\n",
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              "      <td>33.10</td>\n",
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              "      <td>15.9129</td>\n",
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              "      <th>4</th>\n",
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              "      <td>36.46</td>\n",
              "      <td>South</td>\n",
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              "      <th>262</th>\n",
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              "      <td>M</td>\n",
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              "      <td>30726310</td>\n",
              "      <td>40.39</td>\n",
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              "      <td>22.9868</td>\n",
              "      <td>87.855</td>\n",
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              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>West Bengal</td>\n",
              "      <td>31-07-2020</td>\n",
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              "      <td>6.83</td>\n",
              "      <td>35372506</td>\n",
              "      <td>46.17</td>\n",
              "      <td>East</td>\n",
              "      <td>22.9868</td>\n",
              "      <td>87.855</td>\n",
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              "      <th>264</th>\n",
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              "      <td>31-08-2020</td>\n",
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              "      <td>14.87</td>\n",
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              "      <td>9.35</td>\n",
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              "                                                     [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",
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              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(df.corr(),annot=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 764
        },
        "id": "pkcJTPqEOfSG",
        "outputId": "58e066e8-b6c7-4c2e-e94a-71c797ab2f59"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-17-f6412ee67fb3>:1: FutureWarning:\n",
            "\n",
            "The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Data Visulaization**"
      ],
      "metadata": {
        "id": "bV1aBYFpTW29"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.title(\"Unemployment Analysis\")\n",
        "sns.histplot(x=\"Estimated Employed\",hue=\"Region\",data=df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Z5JZd8MFTNLH",
        "outputId": "0b8a51d1-4482-4eba-88d9-4d03c40d77a9"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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IPOpM+6Tw2rNnT8ycORPnzp174m27xy1btgyGhobYtGkT8vPz0b59e0RFRWkGEyyLIUOGYOXKlejSpQscHR215vn5+eHEiRPYsmULUlNTYW1tjTZt2mDTpk1wd3fXuT1zc3OMGTMGv/76K7Zt2wa1Wo2GDRviyy+/xHvvvVfmuogqi0JI0QOQiCQVGxsLf39//Pjjj3jzzTerfH/Lli3DxIkTcePGjXL3E6Fn88cff6BFixbYsGFDlQVJIimxjwwRVSkhBNatWwc/Pz+GGAl89dVXsLS0LNPIxERyxFtLRFQlcnJy8PPPPyMmJgbnz5/Hzp07pS7phbJr1y5cvHgRa9euxbhx40oMQEj0vGCQIaIqcffuXbz11luwsbHBJ598gv/85z9Sl/RCGT9+PFJTU9GjRw/MmjVL6nKIqgz7yBAREZFssY8MERERyRaDDBEREcnWc99HRq1W4/bt26hRo0a5hx0nIiIiaQghkJWVBScnpyeOzfXcB5nbt2+XeB8OERERycOtW7dQr169Uuc/90Hm0Uvtbt26BSsrK4mrISIiorLIzMyEs7Oz1stpdXnug8yj20lWVlYMMkRERDLztG4h7OxLREREssUgQ0RERLLFIENERESy9dz3kSEioudHcXExioqKpC6DKoGxsTEMDQ2feTsMMkREpPeEELhz5w7S09OlLoUqkY2NDRwcHJ5pnDcGGSIi0nuPQkzt2rVhbm7OAU5lTgiB3NxcpKWlAQAcHR0rvC0GGSIi0mvFxcWaEGNnZyd1OVRJlEolACAtLQ21a9eu8G0mdvYlIiK99qhPjLm5ucSVUGV79Dt9ln5PDDJERCQLvJ30/KmM3ymDDBEREckWgwwREZGeioyMhI2NjdRl6DUGGSIiogoYOnQoFAoFFAoFjI2N4e7ujo8++gj5+fmVto/+/fvjypUrlba95xGfWiIiIqqgoKAgREREoKioCPHx8QgJCYFCocC8efMqZftKpVLzdA/pxisyREREFWRqagoHBwc4Ozujd+/eCAgIwIEDBwAAarUa4eHhcHd3h1KphI+PD7Zu3aq1/s8//4xGjRrBzMwM/v7+WL9+PRQKhWbgP123llavXo0GDRrAxMQEnp6e2Lhxo9Z8hUKBr7/+Gn369IG5uTkaNWqEn3/+ucrOgdR4ReYZJCcnQ6VSSV3GE9nb28PFxUXqMoiInnsXLlzAkSNH4OrqCgAIDw/Ht99+izVr1qBRo0Y4ePAgBg8ejFq1asHPzw9JSUl488038cEHH2DEiBE4c+YMJk+e/MR9bN++HR988AGWLl2KgIAA7N69G8OGDUO9evXg7++vWW7WrFmYP38+FixYgBUrVmDQoEG4efMmbG1tq/QcSEI85zIyMgQAkZGRUanbvXnzpjA3NxcA9Ppjbm4ubt68WanHTkRUnfLy8sTFixdFXl6e1KVoCQkJEYaGhsLCwkKYmpoKAMLAwEBs3bpV5OfnC3Nzc3HkyBGtdYYPHy4GDhwohBBiypQpolmzZlrzP/30UwFA3L9/XwghREREhLC2ttbMf+WVV8TIkSO11unbt6/o0aOHZhqAmDp1qmY6OztbABB79+6tjMOuVE/63Zb1+5tXZCpIpVIhNzcXs0IXw825gdTl6HTj1jXMWBwKlUrFqzJERFXA398fq1evRk5ODpYsWQIjIyMEBwfjzz//RG5uLrp27aq1fGFhIXx9fQEAly9fxksvvaQ1v02bNk/cX0JCAkaNGqXV1r59eyxbtkyrzdvbW/OzhYUFrKysNK8DeN4wyDwjN+cGaNygmdRlEBGRBCwsLNCwYUMAwDfffAMfHx+sW7cOzZo9/F7Ys2cP6tatq7WOqalplddlbGysNa1QKKBWq6t8v1JgkCEiIqoEBgYG+OSTTxAaGoorV67A1NQUycnJ8PPz07m8p6cnfvnlF622kydPPnEfXl5eOHz4MEJCQjRthw8fRpMmTZ79AGSKQYaIiKiS9O3bFx9++CH++9//YvLkyZg4cSLUajVeffVVZGRk4PDhw7CyskJISAhGjx6NxYsXY8qUKRg+fDjOnj2LyMhIAKUP3f/hhx+iX79+8PX1RUBAAHbt2oVt27YhKiqqGo9Sv0j6+PXq1avh7e0NKysrWFlZoV27dti7d69mfqdOnTSDDT36vPvuuxJWTEREVDojIyOMGzcO8+fPR1hYGKZNm4bw8HB4eXkhKCgIe/bsgbu7OwDA3d0dW7duxbZt2+Dt7Y3Vq1fj008/BVD67afevXtj2bJlWLhwIZo2bYr//ve/iIiIQKdOnarrEPWOQgghpNr5rl27YGhoiEaNGkEIgfXr12PBggU4c+YMmjZtik6dOsHDwwOzZ8/WrGNubg4rK6sy7yMzMxPW1tbIyMgo13pPc/r0abRq1Qrrl+zU2z4yl65dQMjEXoiPj0fLli2lLoeIqELy8/ORlJQEd3d3mJmZSV1OlZo7dy7WrFmDW7duSV1KtXjS77as39+S3lrq2bOn1vTcuXOxevVqHDt2DE2bNgXwMLg4ODhIUR4REVGV+vLLL/HSSy/Bzs4Ohw8fxoIFCzBu3Dipy5IVvRnZt7i4GFu2bEFOTg7atWunad+0aRPs7e3RrFkzhIWFITc3V8IqiYiIKs/Vq1fRq1cvNGnSBHPmzMGkSZMwc+ZMqcuSFck7+54/fx7t2rVDfn4+LC0tsX37dk3v67feeguurq5wcnLCuXPnMGXKFFy+fBnbtm0rdXsFBQUoKCjQTGdmZlb5MRAREVXEkiVLsGTJEqnLkDXJg4ynpyfOnj2LjIwMbN26FSEhIYiLi0OTJk20Bv1p3rw5HB0d0aVLF1y7dg0NGugehC48PByzZs2qrvKJiIhIQpLfWjIxMUHDhg3RqlUrhIeHw8fHp8QIhY+0bdsWAJCYmFjq9sLCwpCRkaH5vCgdpoiIiF5Ekl+ReZxarda6NfRvZ8+eBQA4OjqWur6pqWm1jJpIRERE0pM0yISFhaF79+5wcXFBVlYWNm/ejNjYWOzfvx/Xrl3D5s2b0aNHD9jZ2eHcuXOYOHEiOnbsqPUOCSIiInpxSRpk0tLSMGTIEKSkpMDa2hre3t7Yv38/unbtilu3biEqKgpLly5FTk4OnJ2dERwcjKlTp0pZMhEREekRSYPMunXrSp3n7OyMuLi4aqyGiIiI5Ebv+sgQERGVVXJyMlQqVbXtz97eHi4uLtW2v2cRGxsLf39/3L9/HzY2NlKXU2UYZIiISJaSk5PR2MsLedU4UKrS3ByXEhLKFWbu3r2L6dOnY8+ePUhNTUXNmjXh4+OD6dOno3379pVSV6dOndCiRQssXbq0UrYnJwwyREQkSyqVCnm5uRg0ZQHquOgeW6wypSZfw6Z5H0KlUpUryAQHB6OwsBDr169H/fr1kZqaiujoaNy7d68Kq31xMMgQEZGs1XFpgHqNmkpdhk7p6en4/fffERsbCz8/PwCAq6sr2rRpo1kmOTkZ48ePR3R0NAwMDBAUFIQVK1agTp06AIChQ4ciPT0dO3bs0KwzYcIEnD17FrGxsRg6dCji4uIQFxenGYctKSlJs2x8fDymTJmCixcvokWLFoiIiICnp2c1HH31kHxAPCIioueVpaUlLC0tsWPHDp1jpKnVavTq1Qv//PMP4uLicODAAVy/fh39+/cv8z6WLVuGdu3aYeTIkUhJSUFKSgqcnZ018z/99FMsWrQIp06dgpGREd55551KOTZ9wSsyREREVcTIyAiRkZEYOXIk1qxZg5YtW8LPzw8DBgyAt7c3oqOjcf78eSQlJWnCx4YNG9C0aVOcPHkSL7300lP3YW1tDRMTE5ibm8PBwaHE/Llz52quBn388cd47bXXkJ+fDzMzs8o9WInwigwREVEVCg4Oxu3bt/Hzzz8jKCgIsbGxaNmyJSIjI5GQkABnZ2etKyhNmjSBjY0NEhISKmX//x5E9tHI+GlpaZWybX3AIENERFTFzMzM0LVrV0ybNg1HjhzB0KFDMWPGjDKta2BgACGEVltRUVGZ921sbKz5WaFQAHh4S+t5wSBDRERUzZo0aYKcnBx4eXnh1q1bWi84vnjxItLT09GkSRMAQK1atZCSkqK1/qN3Dz5iYmKC4uLiKq9bHzHIEBERVZF79+6hc+fO+Pbbb3Hu3DkkJSXhxx9/xPz589GrVy8EBASgefPmGDRoEE6fPo0TJ05gyJAh8PPzQ+vWrQEAnTt3xqlTp7BhwwZcvXoVM2bMwIULF7T24+bmhuPHj+PGjRtQqVTP1RWXp2FnXyIikrXU5Gt6ux9LS0u0bdsWS5YswbVr11BUVARnZ2eMHDkSn3zyCRQKBXbu3Inx48ejY8eOWo9fPxIYGIhp06bho48+Qn5+Pt555x0MGTIE58+f1ywzefJkhISEoEmTJsjLy9N6/Pp5pxCP33h7zmRmZsLa2hoZGRmwsrKqtO2ePn0arVq1wvolO9G4QbNK225lunTtAkIm9kJ8fDxatmwpdTlERBWSn5+PpKQkuLu7az1pI5eRfal0pf1ugbJ/f/OKDBERyZKLiwsuJSTwXUsvOAYZIiKSLRcXFwaLFxw7+xIREZFsMcgQERGRbDHIEBERkWwxyBAREZFsMcgQERGRbDHIEBERkWwxyBAREZFscRwZIiKSreTkZA6I95ihQ4ciPT0dO3bskLqUasEgQ0REspScnAwvr8bIzc2rtn2amyuRkHCpzGFm6NChWL9+PcLDw/Hxxx9r2nfs2IE+ffrgWd4SdOPGDbi7u+PMmTNo0aJFhbdTFaozTDHIEBGRLKlUKuTm5uHbT/rBy6VWle8vIfkuBn/+A1QqVbmuypiZmWHevHkYPXo0atasWSm1FBYWVsp2ngfsI0NERLLm5VILLT3qVvmnomEpICAADg4OCA8PL3WZn376CU2bNoWpqSnc3NywaNEirflubm6YM2cOhgwZAisrK4waNQru7u4AAF9fXygUCnTq1ElrnYULF8LR0RF2dnYYO3YsioqKNPMKCgowefJk1K1bFxYWFmjbti1iY2M18+/du4eBAweibt26MDc3R/PmzfHdd99pbX/r1q1o3rw5lEol7OzsEBAQgJycHMycORPr16/Hzp07oVAooFAotLZd2RhkiIiIqpChoSE+//xzrFixAn/99VeJ+fHx8ejXrx8GDBiA8+fPY+bMmZg2bRoiIyO1llu4cCF8fHxw5swZTJs2DSdOnAAAREVFISUlBdu2bdMsGxMTg2vXriEmJgbr169HZGSk1vbGjRuHo0ePYsuWLTh37hz69u2LoKAgXL16FcDDt1K3atUKe/bswYULFzBq1Ci8/fbbmn2mpKRg4MCBeOedd5CQkIDY2Fi88cYbEEJg8uTJ6NevH4KCgpCSkoKUlBS88sorlXxW/4e3loiIiKpYnz590KJFC8yYMQPr1q3Tmrd48WJ06dIF06ZNAwB4eHjg4sWLWLBgAYYOHapZrnPnzpg0aZJm2tDQEABgZ2cHBwcHrW3WrFkTK1euhKGhIRo3bozXXnsN0dHRGDlyJJKTkxEREYHk5GQ4OTkBACZPnox9+/YhIiICn3/+OerWrYvJkydrtjd+/Hjs378fP/zwA9q0aYOUlBQ8ePAAb7zxBlxdXQEAzZs31yyvVCpRUFBQoq6qwCsyRERE1WDevHlYv349EhIStNoTEhLQvn17rbb27dvj6tWrKC4u1rS1bt26zPtq2rSpJugAgKOjI9LS0gAA58+fR3FxMTw8PGBpaan5xMXF4dq1awCA4uJizJkzB82bN4etrS0sLS2xf/9+JCcnAwB8fHzQpUsXNG/eHH379sVXX32F+/fvl++EVBJekSEiIqoGHTt2RGBgIMLCwrSutJSVhYVFmZc1NjbWmlYoFFCr1QCA7OxsGBoaIj4+XivsAIClpSUAYMGCBVi2bBmWLl2K5s2bw8LCAhMmTNB0MjY0NMSBAwdw5MgR/Prrr1ixYgU+/fRTHD9+XNN3p7owyBAREVWTL774Ai1atICnp6emzcvLC4cPH9Za7vDhw/Dw8CgRNP7NxMQEALSu2pSFr68viouLkZaWhg4dOuhc5vDhw+jVqxcGDx4MAFCr1bhy5QqaNGmiWUahUKB9+/Zo3749pk+fDldXV2zfvh2hoaEwMTEpd10VxVtLRERE1aR58+YYNGgQli9frmmbNGkSoqOjMWfOHFy5cgXr16/HypUrtfqo6FK7dm0olUrs27cPqampyMjIKFMNHh4eGDRoEIYMGYJt27YhKSkJJ06cQHh4OPbs2QMAaNSokeaKS0JCAkaPHo3U1FTNNo4fP47PP/8cp06dQnJyMrZt24a7d+/Cy8sLwMOnrM6dO4fLly9DpVJpPTFV2XhFhoiIZC0h+a6s9jN79mx8//33mumWLVvihx9+wPTp0zFnzhw4Ojpi9uzZT739ZGRkhOXLl2P27NmYPn06OnToUObHnCMiIvDZZ59h0qRJ+Pvvv2Fvb4+XX34Zr7/+OgBg6tSpuH79OgIDA2Fubo5Ro0ahd+/emrBkZWWFgwcPYunSpcjMzISrqysWLVqE7t27AwBGjhyJ2NhYtG7dGtnZ2YiJiSnxeHhlUYhnGVZQBjIzM2FtbY2MjAxYWVlV2nZPnz6NVq1aYf2SnWjcoFmlbbcyXbp2ASETeyE+Ph4tW7aUuhwiogrJz89HUlIS3N3dYWZmpmmXw8i+9GSl/W6Bsn9/84oMERHJkouLCxISLvFdSy84BhkiIpItFxcXBosXHDv7EhERkWwxyBAREZFsMcgQERGRbEkaZFavXg1vb29YWVnBysoK7dq1w969ezXz8/PzMXbsWNjZ2cHS0hLBwcFaz7ETERHRi03SIFOvXj188cUXiI+Px6lTp9C5c2f06tULf/75JwBg4sSJ2LVrF3788UfExcXh9u3beOONN6QsmYiIiPSIpE8t9ezZU2t67ty5WL16NY4dO4Z69eph3bp12Lx5Mzp37gzg4QA+Xl5eOHbsGF5++WUpSiYiIiI9ojd9ZIqLi7Flyxbk5OSgXbt2iI+PR1FREQICAjTLNG7cGC4uLjh69Gip2ykoKEBmZqbWh4iIiJ5Pko8jc/78ebRr1w75+fmwtLTE9u3b0aRJE5w9exYmJiawsbHRWr5OnTq4c+dOqdsLDw/HrFmzqrhqIiLSB8nJyRwQ7wUneZDx9PTE2bNnkZGRga1btyIkJARxcXEV3l5YWBhCQ0M105mZmXB2dq6MUomISI8kJyejsVdj5FXjKwqU5kpcKscrCoYOHYr169eXaA8MDMS+ffueqZbY2Fj4+/vj/v37Jf6n/0UieZAxMTFBw4YNAQCtWrXCyZMnsWzZMvTv3x+FhYVIT0/X+gWlpqbCwcGh1O2ZmprC1NS0qssmIiKJqVQq5OXmIWRuCBzcS/9eqCx3ku5g/afroVKpynVVJigoCBEREVpt/J6qPJIHmcep1WoUFBSgVatWMDY2RnR0NIKDgwEAly9fRnJyMtq1aydxlUREpC8c3B3g4qW/t3tMTU1L/R/wxYsXIyIiAtevX4etrS169uyJ+fPnw9LSEgBw8+ZNjBs3DocOHUJhYSHc3NywYMECNGnSBP7+/gCAmjVrAgBCQkIQGRlZLcekTyQNMmFhYejevTtcXFyQlZWFzZs3IzY2Fvv374e1tTWGDx+O0NBQ2NrawsrKCuPHj0e7du34xBIRET0XDAwMsHz5cri7u+P69esYM2YMPvroI3z55ZcAgLFjx6KwsBAHDx6EhYUFLl68CEtLSzg7O+Onn35CcHAwLl++DCsrKyiVSomPRhqSBpm0tDQMGTIEKSkpsLa2hre3N/bv34+uXbsCAJYsWQIDAwMEBwejoKAAgYGBml8uERGRHOzevVtzheWRTz75BJ988gkmTJigaXNzc8Nnn32Gd999V/Ndl5ycjODgYDRv3hwAUL9+fc3ytra2AIDatWuzj4xU1q1b98T5ZmZmWLVqFVatWlVNFREREVUuf39/rF69WqvtUQiJiopCeHg4Ll26hMzMTDx48AD5+fnIzc2Fubk53n//fbz33nv49ddfERAQgODgYHh7e0txGHpLb8aRISIieh5ZWFigYcOGWh9bW1vcuHEDr7/+Ory9vfHTTz8hPj5e8z/uhYWFAIARI0bg+vXrePvtt3H+/Hm0bt0aK1askPJw9A6DDBERkQTi4+OhVquxaNEivPzyy/Dw8MDt27dLLOfs7Ix3330X27Ztw6RJk/DVV18BePjUL/BwQNkXmd49tURERFQed5JKHyRVH/ZTUFBQYiBXIyMjNGzYEEVFRVixYgV69uyJw4cPY82aNVrLTZgwAd27d4eHhwfu37+PmJgYeHl5AQBcXV2hUCiwe/du9OjRA0qlskRfnBcBgwwREcmSvb09lOZKrP+05IBzVUVproS9vX251tm3bx8cHR212jw9PXHp0iUsXrwY8+bNQ1hYGDp27Ijw8HAMGTJEs1xxcTHGjh2Lv/76C1ZWVggKCsKSJUsAAHXr1sWsWbPw8ccfY9iwYRgyZMgL+fi1QgghpC6iKmVmZsLa2hoZGRmwsrKqtO2ePn0arVq1wvolO9G4QbNK225lunTtAkIm9kJ8fDxatmwpdTlERBWSn5+PpKQkuLu7w8zMTGseX1Egb0/63Zb1+5tXZIiISLZcXFwYLF5w7OxLREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxcevn9GNW9ekLqFU+lwbERFRZWCQqaCUlBQoAMxYHCp1KU+kwMNaiYiInkcMMhWUnp4OAWBuvw5o2dBd6nJ0Op2YhE9/+B3p6elSl0JEVCU4si8xyDyj+rWs0dyljtRl6JSe8Y/UJRARVZnk5GR4NW6M3Ly8atunuVKJhEuXyhRm1qxZgw8//BD379+HkdHDr9vs7GzUrFkT7du3R2xsrGbZ2NhY+Pv7IzExEQ0aNKhQbTdu3IC7uzvOnDmDFi1aVGgbcsQgQ0REsqRSqZCbl4cv3x4CDweHKt/flTt3MGbjBqhUqjIFGX9/f2RnZ+PUqVN4+eWXAQC///47HBwccPz4ceTn52veLxQTEwMXF5cKh5gXGYMMERHJmoeDA7ydnaUuowRPT084OjoiNjZWE2RiY2PRq1cv/Pbbbzh27Bg6deqkaff394darca8efOwdu1a3LlzBx4eHpg2bRrefPNNAMD9+/cxbtw4/Prrr8jOzka9evXwySefYNiwYXB3f9jNwdfXFwDg5+enddXnecXHr4mIiKqIv78/YmJiNNMxMTHo1KkT/Pz8NO15eXk4fvw4/P39ER4ejg0bNmDNmjX4888/MXHiRAwePBhxcXEAgGnTpuHixYvYu3cvEhISsHr1atjb2wMATpw4AQCIiopCSkoKtm3bVs1HKw1ekSEiIqoi/v7+mDBhAh48eIC8vDycOXMGfn5+KCoqwpo1awAAR48eRUFBATp16oQmTZogKioK7dq1AwDUr18fhw4dwn//+1/4+fkhOTkZvr6+aN26NQDAzc1Ns69atWoBAOzs7OBQDbfa9AWDDBERURXp1KkTcnJycPLkSdy/fx8eHh6oVasW/Pz8MGzYMOTn5yM2Nhb169dHdnY2cnNz0bVrV61tFBYWam4XvffeewgODsbp06fRrVs39O7dG6+88ooUh6Y3GGSIiIiqSMOGDVGvXj3ExMTg/v378PPzAwA4OTnB2dkZR44cQUxMDDp37ozs7GwAwJ49e1C3bl2t7ZiamgIAunfvjps3b+KXX37BgQMH0KVLF4wdOxYLFy6s3gPTI+wjQ0REVIX8/f0RGxuL2NhYTedeAOjYsSP27t2LEydOwN/fH02aNIGpqSmSk5PRsGFDrY/zvzoz16pVCyEhIfj222+xdOlSrF27FgBgYmICACguLq7W45Mar8gQEZGsXblzR6/34+/vj7Fjx6KoqEhzRQZ4+FTRuHHjUFhYCH9/f9SoUQOTJ0/GxIkToVar8eqrryIjIwOHDx+GlZUVQkJCMH36dLRq1QpNmzZFQUEBdu/eDS8vLwBA7dq1oVQqsW/fPtSrVw9mZmawtraulGPXZwwyREQkS/b29jBXKjFm44Zq26e5Uql5Sqis/P39kZeXh8aNG6NOnf8NoOrn54esrCzNY9oAMGfOHNSqVQvh4eG4fv06bGxs0LJlS3zyyScAHl51CQsLw40bN6BUKtGhQwds2bIFAGBkZITly5dj9uzZmD59Ojp06PBCPH7NIENERLLk4uKChEuX9P4VBW5ubhBClGh3dXUt0a5QKPDBBx/ggw8+0LmtqVOnYurUqaXua8SIERgxYkS56pM7BhkiIpItFxcXvvvoBcfOvkRERCRbDDJEREQkWwwyREREJFsMMkRERCRbDDJEREQkWwwyREREJFsMMkRERCRbDDJEREQkWxwQj4iIZCs5OVnvR/atbkOHDkV6ejp27NghdSnVgkGGiIhkKTk5GV5eXsjNza22fZqbmyMhIaHMYWbo0KFYv349wsPD8fHHH2vad+zYgT59+uh8dUFZ3bhxA+7u7jhz5gxatGhR4e3IHYMMERHJkkqlQm5uLmaFLoabc4Mq39+NW9cwY3EoVCpVua7KmJmZYd68eRg9ejRq1qxZKbUUFhZWynaeB5IGmfDwcGzbtg2XLl2CUqnEK6+8gnnz5sHT01OzTKdOnRAXF6e13ujRo7FmzZrqLpeIiPSQm3MDNG7QTOoyShUQEIDExESEh4dj/vz5Opf56aefMH36dCQmJsLR0RHjx4/HpEmTNPPd3NwwfPhwXL16FTt27MAbb7yB9evXAwB8fX0BPHyb9r/fdr1w4UIsWrQIhYWFGDBgAJYuXQpjY+OqO1CJSNrZNy4uDmPHjsWxY8dw4MABFBUVoVu3bsjJydFabuTIkUhJSdF8SvuDQEREpG8MDQ3x+eefY8WKFfjrr79KzI+Pj0e/fv0wYMAAnD9/HjNnzsS0adMQGRmptdzChQvh4+ODM2fOYNq0aThx4gQAICoqCikpKdi2bZtm2ZiYGFy7dg0xMTFYv349IiMjS2zveSHpFZl9+/ZpTUdGRqJ27dqIj49Hx44dNe3m5uZwcHCo7vKIiIgqRZ8+fdCiRQvMmDED69at05q3ePFidOnSBdOmTQMAeHh44OLFi1iwYAGGDh2qWa5z585aV2kMDQ0BAHZ2diW+I2vWrImVK1fC0NAQjRs3xmuvvYbo6GiMHDmyio5QOnr1+HVGRgYAwNbWVqt906ZNsLe3R7NmzRAWFvbEjl0FBQXIzMzU+hAREUlt3rx5WL9+PRISErTaExIS0L59e6229u3b4+rVqyguLta0tW7dusz7atq0qSboAICjoyPS0tIqWLl+05sgo1arMWHCBLRv3x7Nmv3vXudbb72Fb7/9FjExMQgLC8PGjRsxePDgUrcTHh4Oa2trzcfZ2bk6yiciInqijh07IjAwEGFhYRVa38LCoszLPt4XRqFQQK1WV2i/+k5vnloaO3YsLly4gEOHDmm1jxo1SvNz8+bN4ejoiC5duuDatWto0KBkL/WwsDCEhoZqpjMzMxlmiIhIL3zxxRdo0aKF1kMtXl5eOHz4sNZyhw8fhoeHh9ZVlceZmJgAgNZVmxeRXgSZcePGYffu3Th48CDq1av3xGXbtm0LAEhMTNQZZExNTWFqaloldRIRkf65ceuabPbTvHlzDBo0CMuXL9e0TZo0CS+99BLmzJmD/v374+jRo1i5ciW+/PLLJ26rdu3aUCqV2LdvH+rVqwczMzNYW1s/c41yI2mQEUJg/Pjx2L59O2JjY+Hu7v7Udc6ePQvg4f0+IiJ6cdnb28Pc3BwzFoc+feFKYm5uDnt7+2faxuzZs/H9999rplu2bIkffvgB06dPx5w5c+Do6IjZs2drdfTVxcjICMuXL8fs2bMxffp0dOjQQevx6xeFpEFm7Nix2Lx5M3bu3IkaNWrgzp07AABra2solUpcu3YNmzdvRo8ePWBnZ4dz585h4sSJ6NixI7y9vaUsnYiIJObi4oKEhAS9fkWBrkee3dzcUFBQoNUWHByM4ODgUrdz48YNne0jRozAiBEjnrrPpUuXPq1U2ZI0yKxevRrAw0Hv/i0iIgJDhw6FiYkJoqKisHTpUuTk5MDZ2RnBwcGYOnWqBNUSEZG+cXFx0ft3H1HVkvzW0pM4OzuXGNWXiIiI6BG9efyaiIiIqLwYZIiIiEi2GGSIiEgWntYdgeSnMn6nDDJERKTXHo1S+6TX05A8PfqdPstbufViQDwiIqLSGBoawsbGRvOuIHNzcygUComromchhEBubi7S0tJgY2PzxBGMn4ZBhoiI9N6jtzs/ry8+fFHZ2NiUeHN3eTHIEBGR3lMoFHB0dETt2rVRVFQkdTlUCYyNjZ/pSswjDDJERCQbhoaGlfLlR88PdvYlIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WJn3xdAUlISTp8+LXUZpbK3t+fba4mIqEIYZJ5j+YV5AIBp06Zh2rRpEldTOnNzcyQkJDDMEBFRuTHIPMeKigoBAG/9ZyQC/V+XuBrdbty6hhmLQ6FSqRhkiIio3BhkXgB17B3RuEEzqcsgIiKqdOzsS0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLJVoSBTv3593Lt3r0R7eno66tev/8xFEREREZVFhYLMjRs3UFxcXKK9oKAAf//99zMXRURERFQWRuVZ+Oeff9b8vH//flhbW2umi4uLER0dDTc3t0orjoiIiOhJyhVkevfuDQBQKBQICQnRmmdsbAw3NzcsWrSozNsLDw/Htm3bcOnSJSiVSrzyyiuYN28ePD09Ncvk5+dj0qRJ2LJlCwoKChAYGIgvv/wSderUKU/pRERE9Bwq160ltVoNtVoNFxcXpKWlaabVajUKCgpw+fJlvP7662XeXlxcHMaOHYtjx47hwIEDKCoqQrdu3ZCTk6NZZuLEidi1axd+/PFHxMXF4fbt23jjjTfKUzYRERE9p8p1ReaRpKSkStn5vn37tKYjIyNRu3ZtxMfHo2PHjsjIyMC6deuwefNmdO7cGQAQEREBLy8vHDt2DC+//HKl1EFERETyVKEgAwDR0dGIjo7WXJn5t2+++aZC28zIyAAA2NraAgDi4+NRVFSEgIAAzTKNGzeGi4sLjh49qjPIFBQUoKCgQDOdmZlZoVqIiIhI/1XoqaVZs2ahW7duiI6Ohkqlwv3797U+FaFWqzFhwgS0b98ezZo1AwDcuXMHJiYmsLGx0Vq2Tp06uHPnjs7thIeHw9raWvNxdnauUD1ERESk/yp0RWbNmjWIjIzE22+/XWmFjB07FhcuXMChQ4eeaTthYWEIDQ3VTGdmZjLMEBERPacqFGQKCwvxyiuvVFoR48aNw+7du3Hw4EHUq1dP0+7g4IDCwkKkp6drXZVJTU2Fg4ODzm2ZmprC1NS00mojIiIi/VWhW0sjRozA5s2bn3nnQgiMGzcO27dvx2+//QZ3d3et+a1atYKxsTGio6M1bZcvX0ZycjLatWv3zPsnIiIieavQFZn8/HysXbsWUVFR8Pb2hrGxsdb8xYsXl2k7Y8eOxebNm7Fz507UqFFD0+/F2toaSqUS1tbWGD58OEJDQ2FrawsrKyuMHz8e7dq14xNLREREVLEgc+7cObRo0QIAcOHCBa15CoWizNtZvXo1AKBTp05a7RERERg6dCgAYMmSJTAwMEBwcLDWgHhEREREFQoyMTExlbJzIcRTlzEzM8OqVauwatWqStknERERPT8q1EeGiIiISB9U6IqMv7//E28h/fbbbxUuiIiIiKisKhRkHvWPeaSoqAhnz57FhQsXSrxMkoiIiKiqVCjILFmyRGf7zJkzkZ2d/UwFEREREZVVpfaRGTx4cIXfs0RERERUXpUaZI4ePQozM7PK3CQRERFRqSp0a+mNN97QmhZCICUlBadOncK0adMqpTAiIiKip6lQkLG2ttaaNjAwgKenJ2bPno1u3bpVSmFERERET1OhIBMREVHZdRARERGVW4WCzCPx8fFISEgAADRt2hS+vr6VUhQRERFRWVQoyKSlpWHAgAGIjY2FjY0NACA9PR3+/v7YsmULatWqVZk1EhEREelUoaeWxo8fj6ysLPz555/4559/8M8//+DChQvIzMzE+++/X9k1EhEREelUoSsy+/btQ1RUFLy8vDRtTZo0wapVq9jZl4iIiKpNha7IqNVqGBsbl2g3NjaGWq1+5qKIiIiIyqJCQaZz58744IMPcPv2bU3b33//jYkTJ6JLly6VVhwRERHRk1QoyKxcuRKZmZlwc3NDgwYN0KBBA7i7uyMzMxMrVqyo7BqJiIiIdKpQHxlnZ2ecPn0aUVFRuHTpEgDAy8sLAQEBlVocERER0ZOU64rMb7/9hiZNmiAzMxMKhQJdu3bF+PHjMX78eLz00kto2rQpfv/996qqlYiIiEhLuYLM0qVLMXLkSFhZWZWYZ21tjdGjR2Px4sWVVhwRERHRk5QryPzxxx8ICgoqdX63bt0QHx//zEURERERlUW5gkxqaqrOx64fMTIywt27d5+5KCIiIqKyKFeQqVu3Li5cuFDq/HPnzsHR0fGZiyIiIiIqi3IFmR49emDatGnIz88vMS8vLw8zZszA66+/XmnFERERET1JuR6/njp1KrZt2wYPDw+MGzcOnp6eAIBLly5h1apVKC4uxqefflolhRIRERE9rlxBpk6dOjhy5Ajee+89hIWFQQgBAFAoFAgMDMSqVatQp06dKimUiIiI6HHlHhDP1dUVv/zyC+7fv4/ExEQIIdCoUSPUrFmzKuojIiIiKlWFRvYFgJo1a+Kll16qzFqIiIiIyqVC71oiIiIi0gcMMkRERCRbDDJEREQkWwwyREREJFsV7uxLRPolOTkZKpVK6jKeyN7eHi4uLlKXQUTPEQYZoudAcnIyvBo3Rm5entSlPJG5UomES5cYZoio0jDIED0HVCoVcvPy8OXbQ+Dh4CB1OTpduXMHYzZugEqlYpAhokrDIEP0HPFwcIC3s7PUZRARVRt29iUiIiLZYpAhIiIi2WKQISIiItmSNMgcPHgQPXv2hJOTExQKBXbs2KE1f+jQoVAoFFqfoKAgaYolIiIivSNpkMnJyYGPjw9WrVpV6jJBQUFISUnRfL777rtqrJCIiIj0maRPLXXv3h3du3d/4jKmpqZw0NPHSYmIiEhaet9HJjY2FrVr14anpyfee+893Lt374nLFxQUIDMzU+tDREREzye9DjJBQUHYsGEDoqOjMW/ePMTFxaF79+4oLi4udZ3w8HBYW1trPs4cU4OIiOi5pdcD4g0YMEDzc/PmzeHt7Y0GDRogNjYWXbp00blOWFgYQkNDNdOZmZkMM0RERM8pvb4i87j69evD3t4eiYmJpS5jamoKKysrrQ8RERE9n2QVZP766y/cu3cPjo6OUpdCREREekDSW0vZ2dlaV1eSkpJw9uxZ2NrawtbWFrNmzUJwcDAcHBxw7do1fPTRR2jYsCECAwMlrJqIiIj0haRB5tSpU/D399dMP+rbEhISgtWrV+PcuXNYv3490tPT4eTkhG7dumHOnDkwNTWVqmQiIiLSI5IGmU6dOkEIUer8/fv3V2M1REREJDey6iNDRERE9G8MMkRERCRbej2ODJG+SE5OhkqlkrqMUiUkJEhdAhGRJBhkiJ4iOTkZjb28kJebK3UpT5XKV3IQ0QuGQYboKVQqFfJyczFoygLUcWkgdTk6XT4Xjz3/nYvMPP0PW0RElYlBhqiM6rg0QL1GTaUuQyd9vu1FRFSV2NmXiIiIZItBhoiIiGSLQYaIiIhki0GGiIiIZItBhoiIiGSLQYaIiIhki0GGiIiIZItBhoiIiGSLQYaIiIhki0GGiIiIZItBhoiIiGSLQYaIiIhki0GGiIiIZItBhoiIiGSLQYaIiIhky0jqAogAICEhQeoSSqXPtT0u+d49nLt1S+oydLqaekfqEojoOcQgQ5K6d/8uAGDw4MESV/J02dnZUpdQquz0ewCA8D17EL5nj8TVPFlKSorUJRDRc4RBhiSVlZ0JAHht9Kfw9G4lcTW6JZyIw971y5Cfny91KaUqyH0YstoFDICvR1OJq9Et8WYift2zHunp6VKXQkTPEQYZ0gt2Tq6o10g/v4BTk69JXUKZWdesDScnN6nL0OmeHl/RIiL5YmdfIiIiki0GGSIiIpItBhkiIiKSLQYZIiIiki0GGSIiIpItBhkiIiKSLT5+/YyS7mbAJjlV6jJ0unlPPo+73k9P19uB0jjuCRGR/mKQqSCVSgUA+OSH3wH8Lm0xT5GZnSF1CaXKyLoPAIj57TccPHFW2mJKUZiWBADIzc2VuBIiInocg0wFZWVlAQD8gt5A44aNJK5GtwuXLuJw1C7k5evvF3BObg4AwNXHFa4tvCWuRrdrB9W4fPUoCgoLpS6FiIgewyDzjKxt7eFU11nqMnRKTtPPW166mFmawdreWuoydDKzMJW6BCIiKgU7+xIREZFsMcgQERGRbDHIEBERkWxJGmQOHjyInj17wsnJCQqFAjt27NCaL4TA9OnT4ejoCKVSiYCAAFy9elWaYomIiEjvSBpkcnJy4OPjg1WrVumcP3/+fCxfvhxr1qzB8ePHYWFhgcDAQOTn51dzpURERKSPJH1qqXv37ujevbvOeUIILF26FFOnTkWvXr0AABs2bECdOnWwY8cODBgwoDpLJSIiIj2kt49fJyUl4c6dOwgICNC0WVtbo23btjh69GipQaagoAAFBQWa6czMzCqts+hBIXLzcqp0HxX14MEDAEDSrUTsi90pcTW6XUlKkLoEIiKSMb0NMnfu3AEA1KlTR6u9Tp06mnm6hIeHY9asWVVaG/C/YetV91KRcK24yvdXEampfwEAjp6JwdEzMRJX82T5ObxdSERE5ae3QaaiwsLCEBoaqpnOzMyEs3PlD1j3aLh6O3NLNKnlVOnbrwwpSQ+DjIt3AFo01M9Rc88lnMCNhEMoLCySuhQiIpIhvQ0yDg4OAIDU1FQ4Ojpq2lNTU9GiRYtS1zM1NYWpafWNxGpsYABzE5Nq2195GBooAADW1vZo7OolcTW6Jd++JnUJREQkY3o7joy7uzscHBwQHR2tacvMzMTx48fRrl07CSsjIiIifSHpFZns7GwkJiZqppOSknD27FnY2trCxcUFEyZMwGeffYZGjRrB3d0d06ZNg5OTE3r37i1d0URERKQ3JA0yp06dgr+/v2b6Ud+WkJAQREZG4qOPPkJOTg5GjRqF9PR0vPrqq9i3bx/MzMykKpmIiIj0iKRBplOnThBClDpfoVBg9uzZmD17djVWRURERHKht31kiIiIiJ6GQYaIiIhkS28fv6bKU1BcDFVOltRl6JT//6MPy0FWZiZSUlKkLkOnzKyHv9/s/HykVvFo1hWVkZcndQlE9BxikHmOqf+//9HtnCz89OcpiavRrTDjHwCAulg/R0cG/veqh1OnTuHMpesSV6NbYVoSAOBscjLO/5MtcTW6FWc//F2rVCqJKyGi5wmDzHPsUT/qGrZmaNyivrTFlCLhWBryrv4vdOkjtVoNAHB3aYiWL3WTuBrdDh/4FolXj8LeyQoePh5Sl6PTrSuJSPgDyMrSz6uDRCRPDDIvACMjA1jWUEpdhk5GRvLppmVmag5729pSl6GTicnDIQlMTI1gZa2fv2szpX6OgE1E8iafbxEiIiKixzDIEBERkWwxyBAREZFsMcgQERGRbDHIEBERkWwxyBAREZFs8fFrIiIiPZWcnKz3g0ja29vDxcVFsv0zyBAREemh5ORkeHl5ITc3V+pSnsjc3BwJCQmShRkGGSIiIj2kUqmQm5uLWaGL4ebcQOpydLpx6xpmLA6FSqVikCEiIqKS3JwboHGDZlKXobfY2ZeIiIhki0GGiIiIZItBhoiIiGSLQYaIiIhki0GGiIiIZItPLRER/YscBiArKCiAqamp1GU8kdSDpNGLg0GGiOj/JScno7FXY+Tl5kldypMpAAipi3gyc6USCZcuMcxQlWOQISL6fyqVCnm5eQiZGwIHdwepy9Hp0plL2LlgJz7u8RoCmjaVuhydrty5gzEbN0g6SBq9OBhkiIge4+DuABcv/fwCfnTby9XeDt7OzhJXQyQ9dvYlIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2dLrIDNz5kwoFAqtT+PGjaUui4iIiPSEkdQFPE3Tpk0RFRWlmTYy0vuSiYiIqJrofSowMjKCg4OD1GUQERGRHtL7IHP16lU4OTnBzMwM7dq1Q3h4OFxcXEpdvqCgAAUFBZrpzMzM6ihTrz14oEZ2Vp7UZej04IH64X/zHyBDlSFxNboV5BY8fSEiIpKEXgeZtm3bIjIyEp6enkhJScGsWbPQoUMHXLhwATVq1NC5Tnh4OGbNmlXNleqnIrUAAGT9k4/TJ65LXI1uhaocAMD95H9w+KfDElejW2FaCgCgqKhQ4kqIiOhxeh1kunfvrvnZ29sbbdu2haurK3744QcMHz5c5zphYWEIDQ3VTGdmZsLZ2bnKa9VHxeJhkHG1N0KLZnYSV6PbsaO3cA2Aa20TvPSym9Tl6BR/6C7OXwWK1Q+kLoWIiB6j10HmcTY2NvDw8EBiYmKpy5iamsLU1LQaq9J/ZsYK2NUwlroMnUyNFAAAMxMD2Nc0k7ga3czNDKUugYiISqHXj18/Ljs7G9euXYOjo6PUpRAREZEe0OsgM3nyZMTFxeHGjRs4cuQI+vTpA0NDQwwcOFDq0oiIiEgP6PWtpb/++gsDBw7EvXv3UKtWLbz66qs4duwYatWqJXVpREREpAf0Oshs2bJF6hKIiIhIj+n1rSUiIiKiJ2GQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItnS63ctEemT/IICqP5Jk7oMnQoL86UugYhIEgwyRE+hVqsBACmpt7Bjv36+yLQw7RYAQPx/rURELwoGGaKnEEIAABwsrNCxaWuJq9EtJvcfJAEQEFKXQkRUrRhkiMrIxNAI9hY1pC5DJ1NDQ6lLICKSBDv7EhERkWwxyBAREZFsMcgQERGRbDHIEBERkWwxyBAREZFsMcgQERGRbPHx62dUpFYjt7BQ6jJ0KubgaKSH/vjjD2zatEnqMnRKSkqSugSqRsnJyVCpVFKXUaqEhASpS5AFBpkKysrKAgDcy83Gxbu3Ja5Gt8LiYqlLINLIL3gY+Ldu3YqtW7dKXM2TpaamwsXLReoyqAolJyfDy8sLubm5UpfyVNnZ2VKXoNcYZCooP//hu22UlqZwrFtT4mp0u3zt4SBpHOuV9EHRg4fB2uNlJ7Rp4yFxNbr9eT4ZZ2KuIzMzU+pSqIqpVCrk5uZiVuhiuDk3kLocnY6cisN/Ny3WfN+Qbgwyz8jQ0ACmJvp5Gg0UUldAVJKdnSW8m7pKXYZO99KypC6BqpmbcwM0btBM6jJ0unHrmtQlyAI7+xIREZFsMcgQERGRbDHIEBERkWwxyBAREZFsMcgQERGRbDHIEBERkWzp53PD9MJRq9XIzs6RugyditUcWLAyZWfk46/ke1KXoVPGP/o/OJqc6PPItPpcG5UPgwxJSoiHw/UVFxdDde+uxNXoVlRQBABQiwcSVyJvRbkPg+r5Q8k4fyhZ4mqeLDedgeZZpGZmQgFg8ODBUpfyRAoA9+7r5787VHYMMqQXDBUGsDWzkLoMnYwNH44sqFZzjORnUVxYAACo27EbGns3lrga3a5dTMSN335BQW6B1KXIWmZeLgSAz3v+B20a6+fv+sSlS/hk18/IyuYoznLHIEN6QaEAzIyNpS5DNwW7klUmU+uaqFm3rtRl6KS8/Y/UJTxX6tvbw9vZWeoydNLnl0VS+fBfaCIiIpItBhkiIiKSLVkEmVWrVsHNzQ1mZmZo27YtTpw4IXVJREREpAf0Psh8//33CA0NxYwZM3D69Gn4+PggMDAQaWlpUpdGREREEtP7ILN48WKMHDkSw4YNQ5MmTbBmzRqYm5vjm2++kbo0IiIikpheB5nCwkLEx8cjICBA02ZgYICAgAAcPXpUwsqIiIhIH+j149cqlQrFxcWoU6eOVnudOnVw6dIlnesUFBSgoOB/Y0BkZGQAADIzK3esgKKih4Ok/XXrDh78/8/65p976QAAVepdnPlD2lpKI4caVakPH8m9q/oL+09FS1yNbqn3bgMA7t36C2eK1RJXo1vm7VQAwP2//sKZQ/pZY3rKHQDAhdgLSL+dLm0xpUhPSwcAfB0Tg1/PnpW0ltIk378PAFgWHYXv409JXI1ud9LTAQCbdqxD1KFfpC2mFKmqFADAuu9XYseB7ySuRrfsnIffrdnZ2ZX+Pftoe48GTi2V0GN///23ACCOHDmi1f7hhx+KNm3a6FxnxowZAgA//PDDDz/88PMcfG7duvXErKDXV2Ts7e1haGiI1NRUrfbU1FQ4ODjoXCcsLAyhoaGaabVajX/++Qd2dnZQKBSVVltmZiacnZ1x69YtWFlZVdp2n1c8X+XD81U+PF/lw/NVPjxf5VNZ50sIgaysLDg5OT1xOb0OMiYmJmjVqhWio6PRu3dvAA+DSXR0NMaNG6dzHVNTU5iammq12djYVFmNVlZW/INdDjxf5cPzVT48X+XD81U+PF/lUxnny9ra+qnL6HWQAYDQ0FCEhISgdevWaNOmDZYuXYqcnBwMGzZM6tKIiIhIYnofZPr374+7d+9i+vTpuHPnDlq0aIF9+/aV6ABMRERELx69DzIAMG7cuFJvJUnF1NQUM2bMKHEbi3Tj+Sofnq/y4fkqH56v8uH5Kp/qPl8KIZ72XBMRERGRftLrAfGIiIiInoRBhoiIiGSLQYaIiIhki0GGiIiIZItBpgJWrVoFNzc3mJmZoW3btjhx4oTUJemtgwcPomfPnnBycoJCocCOHTukLklvhYeH46WXXkKNGjVQu3Zt9O7dG5cvX5a6LL21evVqeHt7awbdateuHfbu3St1WbLxxRdfQKFQYMKECVKXopdmzpwJhUKh9WncuLHUZem1v//+G4MHD4adnR2USiWaN2+OU6eq/l1bDDLl9P333yM0NBQzZszA6dOn4ePjg8DAQKSlpUldml7KycmBj48PVq1aJXUpei8uLg5jx47FsWPHcODAARQVFaFbt27IycmRujS9VK9ePXzxxReIj4/HqVOn0LlzZ/Tq1Qt//vmn1KXpvZMnT+K///0vvL29pS5FrzVt2hQpKSmaz6FDh6QuSW/dv38f7du3h7GxMfbu3YuLFy9i0aJFqFmzZtXvvHJe7/jiaNOmjRg7dqxmuri4WDg5OYnw8HAJq5IHAGL79u1SlyEbaWlpAoCIi4uTuhTZqFmzpvj666+lLkOvZWVliUaNGokDBw4IPz8/8cEHH0hdkl6aMWOG8PHxkboM2ZgyZYp49dVXJdk3r8iUQ2FhIeLj4xEQEKBpMzAwQEBAAI4ePSphZfQ8ysjIAADY2tpKXIn+Ky4uxpYtW5CTk4N27dpJXY5eGzt2LF577TWtf8dIt6tXr8LJyQn169fHoEGDkJycLHVJeuvnn39G69at0bdvX9SuXRu+vr746quvqmXfDDLloFKpUFxcXOL1CHXq1MGdO3ckqoqeR2q1GhMmTED79u3RrFkzqcvRW+fPn4elpSVMTU3x7rvvYvv27WjSpInUZemtLVu24PTp0wgPD5e6FL3Xtm1bREZGYt++fVi9ejWSkpLQoUMHZGVlSV2aXrp+/TpWr16NRo0aYf/+/Xjvvffw/vvvY/369VW+b1m8ooDoRTN27FhcuHCB9+SfwtPTE2fPnkVGRga2bt2KkJAQxMXFMczocOvWLXzwwQc4cOAAzMzMpC5H73Xv3l3zs7e3N9q2bQtXV1f88MMPGD58uISV6Se1Wo3WrVvj888/BwD4+vriwoULWLNmDUJCQqp037wiUw729vYwNDREamqqVntqaiocHBwkqoqeN+PGjcPu3bsRExODevXqSV2OXjMxMUHDhg3RqlUrhIeHw8fHB8uWLZO6LL0UHx+PtLQ0tGzZEkZGRjAyMkJcXByWL18OIyMjFBcXS12iXrOxsYGHhwcSExOlLkUvOTo6lvgfCC8vr2q5HccgUw4mJiZo1aoVoqOjNW1qtRrR0dG8L0/PTAiBcePGYfv27fjtt9/g7u4udUmyo1arUVBQIHUZeqlLly44f/48zp49q/m0bt0agwYNwtmzZ2FoaCh1iXotOzsb165dg6Ojo9Sl6KX27duXGC7iypUrcHV1rfJ989ZSOYWGhiIkJAStW7dGmzZtsHTpUuTk5GDYsGFSl6aXsrOztf4PJikpCWfPnoWtrS1cXFwkrEz/jB07Fps3b8bOnTtRo0YNTb8ra2trKJVKiavTP2FhYejevTtcXFyQlZWFzZs3IzY2Fvv375e6NL1Uo0aNEv2tLCwsYGdnx35YOkyePBk9e/aEq6srbt++jRkzZsDQ0BADBw6UujS9NHHiRLzyyiv4/PPP0a9fP5w4cQJr167F2rVrq37nkjwrJXMrVqwQLi4uwsTERLRp00YcO3ZM6pL0VkxMjABQ4hMSEiJ1aXpH13kCICIiIqQuTS+98847wtXVVZiYmIhatWqJLl26iF9//VXqsmSFj1+Xrn///sLR0VGYmJiIunXriv79+4vExESpy9Jru3btEs2aNROmpqaicePGYu3atdWyX4UQQlR9XCIiIiKqfOwjQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIENERESyxSBDREREssUgQ0RERLLFIEP0goqMjISNjY3UZZSLvtesUCiwY8cOqcuAm5sbli5dKnUZ9Jw7ePAgevbsCScnpwr92Z85cyYUCkWJj4WFRbm2wyBDJANDhw7V+Rc+KCioTOvr+mLr378/rly5UgXVaqvu8KHrPCkUCmzZsqXaaiB6EeTk5MDHxwerVq2q0PqTJ09GSkqK1qdJkybo27dvubbDdy0RyURQUBAiIiK02kxNTSu8PaVS+dy+wykiIqJEyNPnKzlEctS9e3d079691PkFBQX49NNP8d133yE9PR3NmjXDvHnz0KlTJwCApaUlLC0tNcv/8ccfuHjxItasWVOuOnhFhkgmTE1N4eDgoPWpWbMmgIdvzp45cyZcXFxgamoKJycnvP/++wCATp064ebNm5g4caLm6gRQ8krJzJkz0aJFC3zzzTdwcXGBpaUlxowZg+LiYsyfPx8ODg6oXbs25s6dq1XX4sWL0bx5c1hYWMDZ2RljxoxBdnY2ACA2NhbDhg1DRkaGZt8zZ84E8PAfucmTJ6Nu3bqwsLBA27ZtERsbq7XtyMhIuLi4wNzcHH369MG9e/fKdK5sbGxKnCszMzOt4969ezc8PT1hbm6ON998E7m5uVi/fj3c3NxQs2ZNvP/++yguLtZs083NDXPmzMHAgQNhYWGBunXrPvX/RM+fP4/OnTtDqVTCzs4Oo0aN0pybgwcPwtjYWPNy0EcmTJiADh06aKYPHTqEDh06QKlUwtnZGe+//z5ycnI089PS0tCzZ08olUq4u7tj06ZNZTpHRFVt3LhxOHr0KLZs2YJz586hb9++CAoKwtWrV3Uu//XXX8PDw0Prz3+ZVMsbnYjomYSEhIhevXqVOv/HH38UVlZW4pdffhE3b94Ux48f17yw7d69e6JevXpi9uzZIiUlRaSkpAghhIiIiBDW1taabcyYMUNYWlqKN998U/z555/i559/FiYmJiIwMFCMHz9eXLp0SXzzzTcCgNaLUpcsWSJ+++03kZSUJKKjo4Wnp6d47733hBBCFBQUiKVLlworKyvNvrOysoQQQowYMUK88sor4uDBgyIxMVEsWLBAmJqaiitXrgghhDh27JgwMDAQ8+bNE5cvXxbLli0TNjY2WjXrAkBs37691PkRERHC2NhYdO3aVZw+fVrExcUJOzs70a1bN9GvXz/x559/il27dgkTExOxZcsWzXqurq6iRo0aIjw8XFy+fFksX75cGBoaar2o8t/7zs7OFo6OjuKNN94Q58+fF9HR0cLd3V3rhakeHh5i/vz5munCwkJhb28vvvnmGyGEEImJicLCwkIsWbJEXLlyRRw+fFj4+vqKoUOHatbp3r278PHxEUePHhWnTp0Sr7zyilAqlWLJkiVPPE9Elenxv3c3b94UhoaG4u+//9ZarkuXLiIsLKzE+nl5eaJmzZpi3rx55d93udcgomoXEhIiDA0NhYWFhdZn7ty5QgghFi1aJDw8PERhYaHO9V1dXUt8sekKMubm5iIzM1PTFhgYKNzc3ERxcbGmzdPTU4SHh5da648//ijs7OxK3Y8QZftHbuDAgaJHjx5a8/v371+mIGNmZlbiXN28eVNTDwCtNxmPHj1amJuba0LWo2MfPXq0ZtrV1VUEBQWVqKd79+5a+370j/natWtFzZo1RXZ2tmb+nj17hIGBgbhz544QQoh58+YJLy8vzfyffvpJWFpaatYZPny4GDVqlNY+f//9d2FgYCDy8vLE5cuXBQBx4sQJzfyEhAQBgEGGqtXjQWb37t0CQIm/h0ZGRqJfv34l1t+8ebMwMjLS/N0oD/aRIZIJf39/rF69WqvN1tYWANC3b18sXboU9evXR1BQEHr06IGePXvCyKh8f8Xd3NxQo0YNzXSdOnVgaGgIAwMDrba0tDTNdFRUFMLDw3Hp0iVkZmbiwYMHyM/PR25uLszNzXXu5/z58yguLoaHh4dWe0FBAezs7AAACQkJ6NOnj9b8du3aYd++fU89jiVLliAgIECrzcnJSfOzubk5GjRooHVMbm5uWvfrHz/OR/t/fLq0p4MSEhLg4+Oj9QRG+/btoVarcfnyZdSpUwdDhw7F1KlTcezYMbz88suIjIxEv379NOv88ccfOHfunNbtIiEE1Go1kpKScOXKFRgZGaFVq1aa+Y0bN2Z/IJJcdnY2DA0NER8fD0NDQ615//579sjXX3+N119/HXXq1Cn3vhhkiGTCwsICDRs21DnP2dkZly9fRlRUFA4cOIAxY8ZgwYIFiIuLg7GxcZn38fiyCoVCZ5tarQYA3LhxA6+//jree+89zJ07F7a2tjh06BCGDx+OwsLCUoNMef+RKy8HB4dSzxVQ/uOsKrVr10bPnj0REREBd3d37N27V6ufUHZ2NkaPHq3p7/RvLi4u1fLUGVFF+Pr6ori4GGlpaU/t85KUlISYmBj8/PPPFdoXgwzRc0KpVKJnz57o2bMnxo4di8aNG+P8+fNo2bIlTExMtDquVpb4+Hio1WosWrRIc9Xmhx9+0FpG177L8o+cl5cXjh8/rtV27NixSqy+/B7f/7Fjx+Dl5aVzWS8vL0RGRiInJ0dzheXw4cMwMDCAp6enZrkRI0Zg4MCBqFevHho0aID27dtr5rVs2RIXL14sNZQ1btwYDx48QHx8PF566SUAwOXLl5Genv4sh0lUJtnZ2UhMTNRMJyUl4ezZs7C1tYWHhwcGDRqEIUOGYNGiRfD19cXdu3cRHR0Nb29vvPbaa5r1vvnmGzg6Oj7xCagn4VNLRDJRUFCAO3fuaH1UKhWAh0/irFu3DhcuXMD169fx7bffQqlUwtXVFcDDW0YHDx7E33//rVmnMjRs2BBFRUVYsWIFrl+/jo0bN5Z4dNLNzQ3Z2dmIjo6GSqVCbm6u1j9y27ZtQ1JSEk6cOIHw8HDs2bMHAPD+++9j3759WLhwIa5evYqVK1eW6bYSAKSnp5c4V/9+0qeiDh8+jPnz5+PKlStYtWoVfvzxR3zwwQc6lx00aBDMzMwQEhKCCxcuICYmBuPHj8fbb7+tdfk8MDAQVlZW+OyzzzBs2DCtbUyZMgVHjhzBuHHjcPbsWVy9ehU7d+7EuHHjAACenp4ICgrC6NGjcfz4ccTHx2PEiBHP7WP1pF9OnToFX19f+Pr6AgBCQ0Ph6+uL6dOnA3g4DMKQIUMwadIkeHp6onfv3jh58iRcXFw021Cr1YiMjMTQoUNLXJ0ts2fo20NE1SQkJEQAKPHx9PQUQgixfft20bZtW2FlZSUsLCzEyy+/LKKiojTrHz16VHh7ewtTU1Px6K+9rs6+Pj4+Jfb7+NNSfn5+4oMPPtBML168WDg6OgqlUikCAwPFhg0bBABx//59zTLvvvuusLOzEwDEjBkzhBAPn9CZPn26cHNzE8bGxsLR0VH06dNHnDt3TrPeunXrRL169YRSqRQ9e/YUCxcuLFNnX12fRx2UdXU+Lsuxu7q6ilmzZom+ffsKc3Nz4eDgIJYtW1Zi3//u8Hju3Dnh7+8vzMzMhK2trRg5cqRWh+JHpk2bJgwNDcXt27dLzDtx4oTo2rWrsLS0FBYWFsLb21vTyVsIIVJSUsRrr70mTE1NhYuLi9iwYYPOzt1EzyuFEEJULAIREb043NzcMGHCBEyYMKHStz18+HDcvXu3wn0EiF5k7CNDRCSRjIwMnD9/Hps3b2aIIaogBhkiIon06tULJ06cwLvvvouuXbtKXQ6RLPHWEhEREckWn1oiIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZYpAhIiIi2WKQISIiItlikCEiIiLZ+j9j0lN1LiLooQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.title(\"Indian Umployment\")\n",
        "sns.histplot(x=\"Estimated Unemployment Rate\",hue=\"Region\",data=df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "m8KBpb-g-Dn6",
        "outputId": "74333036-206b-4d84-e6bc-7f01e4f88b5b"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "unemployment =df[[\"States\",\"Region\",\"Estimated Unemployment Rate\"]]\n",
        "figure=px.sunburst(unemployment,path=[\"Region\",\"States\"],\n",
        "                   values=\"Estimated Unemployment Rate\",\n",
        "                   width=700,height=700,color_continuous_scale=\"RdY1Gn\",\n",
        "                   title=\"Unemployment Rate in India\")\n",
        "figure.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 717
        },
        "id": "pyhnA0d7IZ52",
        "outputId": "d3374129-b440-4544-f29b-10cd4a084e63"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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