Task1Cognizant.ipynb

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      "source": [
        "### Task 1: Exploratory Data Analysis\n"
      ],
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        "id": "pzgaPYL0bC0K"
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        "id": "YdvLoseKaA_S"
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      "source": [
        "#Import all libraries\n",
        "import pandas as pd\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Load dataset\n",
        "df = pd.read_csv('/content/sample_sales_data (1).csv')\n",
        "df.drop(columns=['Unnamed: 0'], inplace=True)\n",
        "df.head()"
      ],
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              "                         transaction_id         timestamp  \\\n",
              "0  a1c82654-c52c-45b3-8ce8-4c2a1efe63ed  02/03/2022 09:51   \n",
              "1  931ad550-09e8-4da6-beaa-8c9d17be9c60  06/03/2022 10:33   \n",
              "2  ae133534-6f61-4cd6-b6b8-d1c1d8d90aea  04/03/2022 17:20   \n",
              "3  157cebd9-aaf0-475d-8a11-7c8e0f5b76e4  02/03/2022 17:23   \n",
              "4  a81a6cd3-5e0c-44a2-826c-aea43e46c514  05/03/2022 14:32   \n",
              "\n",
              "                             product_id category customer_type  unit_price  \\\n",
              "0  3bc6c1ea-0198-46de-9ffd-514ae3338713    fruit          gold        3.99   \n",
              "1  ad81b46c-bf38-41cf-9b54-5fe7f5eba93e    fruit      standard        3.99   \n",
              "2  7c55cbd4-f306-4c04-a030-628cbe7867c1    fruit       premium        0.19   \n",
              "3  80da8348-1707-403f-8be7-9e6deeccc883    fruit          gold        0.19   \n",
              "4  7f5e86e6-f06f-45f6-bf44-27b095c9ad1d    fruit         basic        4.49   \n",
              "\n",
              "   quantity  total payment_type  \n",
              "0         2   7.98     e-wallet  \n",
              "1         1   3.99     e-wallet  \n",
              "2         2   0.38     e-wallet  \n",
              "3         4   0.76     e-wallet  \n",
              "4         2   8.98   debit card  "
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              "      <th>0</th>\n",
              "      <td>a1c82654-c52c-45b3-8ce8-4c2a1efe63ed</td>\n",
              "      <td>02/03/2022 09:51</td>\n",
              "      <td>3bc6c1ea-0198-46de-9ffd-514ae3338713</td>\n",
              "      <td>fruit</td>\n",
              "      <td>gold</td>\n",
              "      <td>3.99</td>\n",
              "      <td>2</td>\n",
              "      <td>7.98</td>\n",
              "      <td>e-wallet</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>931ad550-09e8-4da6-beaa-8c9d17be9c60</td>\n",
              "      <td>06/03/2022 10:33</td>\n",
              "      <td>ad81b46c-bf38-41cf-9b54-5fe7f5eba93e</td>\n",
              "      <td>fruit</td>\n",
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              "      <td>3.99</td>\n",
              "      <td>e-wallet</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ae133534-6f61-4cd6-b6b8-d1c1d8d90aea</td>\n",
              "      <td>04/03/2022 17:20</td>\n",
              "      <td>7c55cbd4-f306-4c04-a030-628cbe7867c1</td>\n",
              "      <td>fruit</td>\n",
              "      <td>premium</td>\n",
              "      <td>0.19</td>\n",
              "      <td>2</td>\n",
              "      <td>0.38</td>\n",
              "      <td>e-wallet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>157cebd9-aaf0-475d-8a11-7c8e0f5b76e4</td>\n",
              "      <td>02/03/2022 17:23</td>\n",
              "      <td>80da8348-1707-403f-8be7-9e6deeccc883</td>\n",
              "      <td>fruit</td>\n",
              "      <td>gold</td>\n",
              "      <td>0.19</td>\n",
              "      <td>4</td>\n",
              "      <td>0.76</td>\n",
              "      <td>e-wallet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>a81a6cd3-5e0c-44a2-826c-aea43e46c514</td>\n",
              "      <td>05/03/2022 14:32</td>\n",
              "      <td>7f5e86e6-f06f-45f6-bf44-27b095c9ad1d</td>\n",
              "      <td>fruit</td>\n",
              "      <td>basic</td>\n",
              "      <td>4.49</td>\n",
              "      <td>2</td>\n",
              "      <td>8.98</td>\n",
              "      <td>debit card</td>\n",
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      "cell_type": "code",
      "source": [
        "#DESCRIPTIVE STATISTICS\n",
        "\n",
        "#What columns are present?\n",
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q0xo7ZYicgm2",
        "outputId": "44ffaf23-adcc-4967-8bf8-bc06eac0381a"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['transaction_id', 'timestamp', 'product_id', 'category',\n",
              "       'customer_type', 'unit_price', 'quantity', 'total', 'payment_type'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#How many null values exist?\n",
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F4j95xO-fdfm",
        "outputId": "523e862f-fd4b-4404-ae88-08211e26ac23"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "transaction_id    0\n",
              "timestamp         0\n",
              "product_id        0\n",
              "category          0\n",
              "customer_type     0\n",
              "unit_price        0\n",
              "quantity          0\n",
              "total             0\n",
              "payment_type      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#What data typeS exists within each column?\n",
        "df.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_KVzfJK4fdA_",
        "outputId": "35fe6f20-811a-47ee-f970-3872800dcdd3"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "transaction_id     object\n",
              "timestamp          object\n",
              "product_id         object\n",
              "category           object\n",
              "customer_type      object\n",
              "unit_price        float64\n",
              "quantity            int64\n",
              "total             float64\n",
              "payment_type       object\n",
              "dtype: object"
            ]
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          "metadata": {},
          "execution_count": 6
        }
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        "df.describe(include='all')"
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        "id": "Fl-5CL6neeE7",
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              "                              transaction_id         timestamp  \\\n",
              "count                                   7829              7829   \n",
              "unique                                  7829              3759   \n",
              "top     a1c82654-c52c-45b3-8ce8-4c2a1efe63ed  02/03/2022 10:59   \n",
              "freq                                       1                 8   \n",
              "mean                                     NaN               NaN   \n",
              "std                                      NaN               NaN   \n",
              "min                                      NaN               NaN   \n",
              "25%                                      NaN               NaN   \n",
              "50%                                      NaN               NaN   \n",
              "75%                                      NaN               NaN   \n",
              "max                                      NaN               NaN   \n",
              "\n",
              "                                  product_id category customer_type  \\\n",
              "count                                   7829     7829          7829   \n",
              "unique                                   300       22             5   \n",
              "top     ecac012c-1dec-41d4-9ebd-56fb7166f6d9    fruit    non-member   \n",
              "freq                                     114      998          1601   \n",
              "mean                                     NaN      NaN           NaN   \n",
              "std                                      NaN      NaN           NaN   \n",
              "min                                      NaN      NaN           NaN   \n",
              "25%                                      NaN      NaN           NaN   \n",
              "50%                                      NaN      NaN           NaN   \n",
              "75%                                      NaN      NaN           NaN   \n",
              "max                                      NaN      NaN           NaN   \n",
              "\n",
              "         unit_price     quantity        total payment_type  \n",
              "count   7829.000000  7829.000000  7829.000000         7829  \n",
              "unique          NaN          NaN          NaN            4  \n",
              "top             NaN          NaN          NaN         cash  \n",
              "freq            NaN          NaN          NaN         2027  \n",
              "mean       7.819480     2.501597    19.709905          NaN  \n",
              "std        5.388088     1.122722    17.446680          NaN  \n",
              "min        0.190000     1.000000     0.190000          NaN  \n",
              "25%        3.990000     1.000000     6.570000          NaN  \n",
              "50%        7.190000     3.000000    14.970000          NaN  \n",
              "75%       11.190000     4.000000    28.470000          NaN  \n",
              "max       23.990000     4.000000    95.960000          NaN  "
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              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>a1c82654-c52c-45b3-8ce8-4c2a1efe63ed</td>\n",
              "      <td>02/03/2022 10:59</td>\n",
              "      <td>ecac012c-1dec-41d4-9ebd-56fb7166f6d9</td>\n",
              "      <td>fruit</td>\n",
              "      <td>non-member</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>cash</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>114</td>\n",
              "      <td>998</td>\n",
              "      <td>1601</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2027</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.819480</td>\n",
              "      <td>2.501597</td>\n",
              "      <td>19.709905</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5.388088</td>\n",
              "      <td>1.122722</td>\n",
              "      <td>17.446680</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.190000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.190000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.990000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.570000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.190000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>14.970000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11.190000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>28.470000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>23.990000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>95.960000</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-44a8406f-5f91-4fc0-af44-aaa0fde250f3')\"\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",
              "\n",
              "\n",
              "    <div id=\"df-b94ae55c-a715-42fc-9a36-681c07d77fed\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b94ae55c-a715-42fc-9a36-681c07d77fed')\"\n",
              "              title=\"Suggest charts.\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-b94ae55c-a715-42fc-9a36-681c07d77fed button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\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-44a8406f-5f91-4fc0-af44-aaa0fde250f3 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-44a8406f-5f91-4fc0-af44-aaa0fde250f3');\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": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#VISUALISATION\n",
        "def plot_continuous_distribution(data: pd.DataFrame = None, column: str = None, height: int = 8):\n",
        "  _ = sns.displot(data, x=column, kde=True, height=height, aspect=height/5).set(title=f'Distribution of {column}');\n",
        "\n",
        "def get_unique_values(data, column):\n",
        "  num_unique_values = len(data[column].unique())\n",
        "  value_counts = data[column].value_counts()\n",
        "  print(f\"Column: {column} has {num_unique_values} unique values\\n\")\n",
        "  print(value_counts)\n",
        "\n",
        "def plot_categorical_distribution(data: pd.DataFrame = None, column: str = None, height: int = 8, aspect: int = 2):\n",
        "  _ = sns.catplot(data=data, x=column, kind='count', height=height, aspect=aspect).set(title=f'Distribution of {column}');\n",
        "\n",
        "def correlation_plot(data: pd.DataFrame = None):\n",
        "  corr = df.corr()\n",
        "  corr.style.background_gradient(cmap='coolwarm')"
      ],
      "metadata": {
        "id": "po1AMO5teoR-"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot_continuous_distribution(df, 'unit_price')\n",
        "plot_continuous_distribution(df, 'quantity')\n",
        "plot_continuous_distribution(df, 'total')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "k2seI1P0e4B4",
        "outputId": "c8225f04-5256-4714-cadb-4894e88040e4"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1280x800 with 1 Axes>"
            ],
            "image/png": 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dTiUnJ9fl0oBm7b+bj+q5JTskSX8f3EV3D+4qm81mciqcjFvO7aBzu7RSRbVb499Zp7KqGrMjAQAAAABM4lWXD/373//WpZdeqnbt2nnmpztw4IC6d++uOXPm/KFzBAcHq3v37rW2BQYGKiIiwrN97NixuvvuuxUeHi6n06nbb79dqamp6tevnyRp8ODBSk5O1rXXXqunn35aWVlZevDBBzVu3Dj5+vrW5dKAZskwpNAB12vu1hJJ0v0XJ+rmc7lTz4rsdpumXt1LF7/4tXbmlOjRT7fo6St7mR0LAAAAAGCCOhV7bdu21bp167R06VJt23bskb6kpKRfrGx7qp5//nnZ7XaNGDFClZWVGjJkiKZPn+7Z73A4NG/ePN12221KTU1VYGCgxowZo8mTJ9drDsDKDMPQxkKHQvpdKUl65JJk3XB2e5NT4VREBvnqhZEpGvV/a/T+9weV2jFCfzqtjdmxAAAAAACN7KSKveXLl2v8+PFavXq1nE6nLrzwQl144YWSpKKiInXr1k0zZszQOeecU6cwX375Za33fn5+mjZtmqZNm3bCzyQkJGj+/Pl1Gg9o7qpq3Fq8NUu7jzokSbf0dlLqNRNndYzUHQM768VlO/XAR5vVq02oOrQKMjsWAAAAAKARndQcey+88IJuuummX11sIiQkRLfccoumTp1ab+EA1F1xebXmph3Q7txS2WUob95zGtIx0OxYqEd3XNBZ/TqEq6zKpb+9vU6llcy3Z002Vbik7OIK7c8v1YGCMh0qLFdWcYVyj1aqoLRKVTV/bGEqAAAAAC3LSd2xt2HDBj311FMn3D948GA9++yzpxwKwKk5dKRcn2/KVHm1SwE+Dp0RVqHZW74wOxbqmcNu04sjT9Owl77Rtqyj+vvcDZo+6nQWRGmi3G5Du3NL9P3+I0rbf0T780u1P7dY8X//UJ8f8pYOHfjNzzv9vBQZ5KuIIB9FBPoqyumrsACfRkoPAAAAoCk6qWIvOztb3t7eJz6Zl5dyc3NPORSAutt8qEhfbM+R25Cign01vGesig7sMDsWGki0008zRp+ua15brQWbs/Tv5bt0+wWdzY4FHZvfckd2iZZty9b3+45oXcYRFZZV/+I4m8NbkqFAXy/5eztkGJLLbchlGHK5DdW4DFW53CquqFFxRY325JV6Phse6KPOUUHqHBWkiCAWjQIAAABampMq9lq3bq3NmzerU6dOv7p/48aNio2NrZdgAE5OZY1LX+3I09bMYklSl6ggDUqOlrfDriKTs6Fh9WkXrsmXddekDzfpuSU71DUmWIO7xZgdq0U6XuZ9vilTn288rN25pbX2+3nbldI2VH0SwtU1JlhHszN03ZWX6vYp/1F8ly4nPG95lUt5JZXKL61Sfkml8kqqPI/prtlboDV7CxQe4KPO0UFKjnXK6X/iv4QDAAAA0HycVLF38cUX66GHHtJFF10kPz+/WvvKy8v1yCOPaPjw4fUaEMDv259fqqXpOSr5cY611A4R6tsujEcyW5BrzohXemax3ly1X3e9t14fjTtbXaKDzY7VYuQUV+jdtQf06YbD2pVT4tnu47DrnM6RSu0YoT7twtUtzilvx/+f3nbduiy5jubK/jv/qvr7ONQ2PEBtwwM82yprXNqTW6qdOSXKyC9TQdmxkm/tvgIlxTrVt124Qij4AAAAgGbtpIq9Bx98UB9++KG6dOmi8ePHq2vXrpKkbdu2adq0aXK5XHrggQcaJCiAX6qscenrnXnacvjYXXoh/t66MClarcP8TU4GMzw0PFk7so9q9Z4C3fTm9/pk3NkKZQ62BmMYhr7bW6A3V+/Xos1ZqnEbko6Veed2idSwnrG6IClaTr+GKdd8vRxKinUqKdbpKfm2Zhbr4JFybTlcrK2ZxUqKcapvuzC+DwAAAIBm6qSKvejoaK1cuVK33XabJk2aJMM49kuMzWbTkCFDNG3aNEVHRzdIUAC1/fwuvZQ2oTqrU0Stu4HQsng77Jo+qrcuefkb7c8v0+3//UEzr+8rL74n6lV5lUv/W3dQb63ar+3ZRz3b+ySEaeQZ8RrcreHKvBP5acl3uLBca/YWKKOgTFszi5WedazgO7tThAJ8Tur/9gEAAAA0cSf9E35CQoLmz5+vI0eOaNeuXTIMQ507d1ZYWFhD5APwM9nFFVq5O18ZBWWSuEsPtYUH+ui16/poxCsr9fXOPN3/0SY9NaInj2XXg+KKar21ar9e/2avCkqrJEn+3g5dflqcRvdLULe4EJMTHhMX6q8/ndZamUXHCr79+ccKvr15pTq/ayt15hFtAAAAoNmo81/dh4WFqW/fvvWZBcBvKCit0qo9+Z75u+w2qWebUJ3Vkbv0UFtynFMvjkzRrXPS9P73BxUW4KNJFyeZHcuyCkqr9MY3ezV71T4drTh2h2zbcH/dcFZ7jejdpsnOYxcb4q/LU44VfMvSc5RfWqX5m7PUKbtE53VtpUBf7t4DAAAArI6f6oEmrqC0Smn7jyg9s1jGj9sSY4LVr0NEky0UYL7B3WL05Iie+scHG/Wfr/YoLNBHtw7oaHYsSykordKMFbv11qr9Kq92SZI6RwXpb+d31CU94yzziHNsiL+uOSNe3+0r0Pf7CrQrt0QHj5RpQNdW6srdewAAAIClUewBTVCN263dOaXafKhIBwvLPds7RAYqtWOEIoN8TUwHq7i6T1sVllXpifnb9OSCbQr199bIM+LNjtXklVTW6PWv9+q1r/d45rDs0TpE487vpMHJ0bL/3hK2TZDDblNqhwh1ahWkJenZyj1aqUVbsrU3r1QRst71AAAAADiGYg9oQo6UVR1bzfJwsecOIZukdpGB6tsuTLEhzKOHk3PzuR1VUFqtGSt26/6PNik0wFtRZodqoiprXHpnTYb+vXyX8n+cQ69bnFN/H9JV53Vp1SzmKWwV7Ks/92mrtP1HtGZvvnZklyhICXIER5gdDQAAAEAdUOwBJjIMQ9nFldqdW6I9uaUqKKvy7Av0dahbXIi6xzkV3MgrbKJ5ufeiriosq9K7aw/ojv+u16T+oWZHalJcbkMf/XBIzy/ZoUM/3iHbPjJQd1/YRcN6xFryDr3f4rDbdEb7cMWF+mn+piyVVPsr9roXVOSqMTsaAAAAgJNEsQc0IsM4trJmZmGFDh4p0968UpVWuTz77TapbXiAerQOUfuIwGZXKMAcNptN//pTDxWWVWvhliw98XWB/Dunmh3LdIZhaPHWbD27aLt2/rgoTbTTV3de0EVX9WnT7BelaRMWoJF92+q9ldtUFhSmDZWGIg8XNZnVfQEAAAD8Poo9oAHVuNxKzzyqz3eUKvLSf2jBYW+VH9hX6xgfh10JEQHq2CpI7SIC5OvtMCcsmjWH3aYXr0nR7e/8oMVbs9Xq8vu0t8RQG7ODmWTl7jw9vXC71h8olCSF+Hvrb+d11Jiz2smvBf076PT3Vi/t09Lt+QrseraWpucor6RK53aObBaPHgMAAADNHcUeUI+Kyqv1Q8YRpe0/ou/3HdH6A4WeufICk85VuevYXXmtgn0VG+KvdhEBah3mLy97874zCE2Dr5dD00edrlv+70st21uudQWS374C9UkIazElzqaDRXp60TZ9vTNPkuTv7dDY/u1107kdWuwq0w4Zyvv4SSU/+Lb2Vzu1/kChKmtcGpQULXsL+b4AAAAArIpiD6gjwzCUUVB2rMTbf0Rp+45oR85RGUbt45x+XuoU5tCy917TZVdeo+7Jic3+ET80XV4Ou/7WJ0QfvjNbIalXa+XufJVVuZr9HVq7c0s0dfEOfb4pU5Lk7bDpmjPiNX5gJ0UF+5mcrikw1M67RIldOmvx1mylZx6Vy21ocHKMHEwJAAAAADRZFHvAH2QYhvbmlWrl7nyt2p2vNXsLlFdS+Yvj2kUEqHdCuHonhKlPuzB1ahWk9et/0EcT3ler0SMp9WA6m82mwq/e1DlDr9DGQi/PnaWDEqPk1cy+PzOLyvXi0p2am3ZQLrchm026PKW17hrURfERAWbHa3ISY5zystu1YHOmdmSXyOXO1EXdY7irGAAAAGiiKPaA35BfUqnl23K0cne+Vu7OU3Zx7SLP22FTj9Yh6tMuXKfHh6l3QphaBfualBY4OZ2dbsXGRWtJera2Zx1VXkmlLu4eq/BAH7OjnbKc4gq9smK33l6ToaoatyRpUFKU/j6kqxJjnCana9o6RQVpeM84fb4pU7tzS/X5xkwN6xHb7EpfAAAAoDmg2AN+5kBBmRZvzdaiLVn6fl+B3D95tNbHy67T40N1VsdI9esQoZ5tQlrURPtofhJjnQrw9dLCzVnKL6nSf7/L0IAurdQtzmnJR3OPF3rvrMlQ5Y+F3hntwnXv0K7qnRBucjrraB8ZqEt6xmrexkztyy/TpxsP65KecdxxDAAAADQxFHuApLySSv0v7aA+WX9YWzOLa+3r3tqpAV1a6eyOkTo9IYwiD81OfHiARp0Zr8Vbs5VRUKZl23J0oKBMA5Oi5Otlje/37OIK/WfFHr29Zr+n0OudEKa7BnXR2Z0iLFlSmi0hIlCXpcTp0w2HdaCgXJ9vzNQlveKYcw8AAABoQij20GK53Ya+2ZWnd9dmaMnWbFW7jt2aZ7dJfduFa0i3GA3uFq02YczDheYv0NdLl6fEKS3jiFbtzteOnBJlFVfogqRoxYc33X8Hth4u1v99s0efbTjs+Xf49PhQ3XVhF/Xv1LwXBGkMbcICdHlKa330wyHtLyjTkvRsDUmO5usKAAAANBEUe2hxisqrNWf1fr27NkMHCso923u1DdXIvm01pFtMs5hjDDhZNptNfRLC1SY0QAs2Z6q4okYf/XBICREBOrtjZJOZP9LtNrRiR67+75s9+nZXvmd7n4Qw3XFBZ53TzFf4bWxxof4a1jNWn204rO1ZRxXg7eBrDAAAADQRFHtoMUqq3Hp+yQ698e1eHa2okSQF+3npitNaa+QZ8UqKZUJ9QJJiQvz0lzPjtWp3vjYdKtL+/DLtz89QYkywUjtEyOnvbUquzKJyffzDYc1NO6A9uaWSjt1hO7RHrG7s316nxYeZkqslaBcRqEFJ0Vq8NVs/HChUoK+Xeifw9QYAAADMRrGHZq/SJYWcM1q3fp6jsupsSVLnqCDdMqCjhvWIlb+PNeYQAxqTr5dD53WNUkrbUK3cna+dOSXalnVUO7NL1L21U8lxTrUK8m3wu7bKqmq0cHOWPlx3SN/uzpPx42I2Qb5eGtm3rcac1U5tm/Cjws1JUqxT5VUufb0rT9/sypO/j0PJ/IUIAAAAYCqKPTRbNW631u0v1NrD3go9a6TKqg0lxgTrjgs666JuMbIzATzwu0IDfHRxj1hlFVfo2115OnikXBsOFmnDwSKFB/ioa0ywusYEK6Se7uIzDEO7c0u1cneevtl5rEAqq3J59p/RLlxXnN5aw3rGKtjPnDsHW7LTE8JUVuVSWsYRLU3Plr+3Q+0jA82OBQAAALRYFHtolvbnl+rL7bkqLK+WZFNV9m49+Kc+unV4KoUeUAcxTj9dcVprZRSUafPhYu3NK1VBWZVW7cnXqj35inH6KS7UT5FBvooI8lF4gI+8HPbfOatNeWUurdqdr/35pVq774i+3ZWnrOKKWkclRAToitPa6E+ntVZ8BHfnme3sThEqq6pRetZRzd+Uqav7tG0y8y8CAAAALQ3FHpqVkooafbUzVztzSiRJgT4OdQuu1Nyn7lS/29Mo9YBTYLPZlBARqISIQFXWuLQ7p1Tbsot1sKBcWcUVtQo5m00K9fdWkK+XbDabbDbJJslus8llGCoo8lb8Pf/TzfNyJOXUGsfHYVefdmE6u1Ok+neKVM82ISzU0ITYbDZdkBSt0iqXMgrK9NnGwxrZt60CfPiRAgAAAGhs/BSOZsEwDK0/UKhVe/JV7TJk07FVbvt1CFfu3m1mxwOaHV8vh5Ljjs21V1pZo715pcotqVR+SZXySypVUePWkbJqHSmrPsEZbLJ5+chhk9qEByg+PEDd4kLUv1Ok+rQLk583c182ZQ67TUO7x+i9tQdUWF6tzzdm6orT28jBX54AAAAAjYpiD5ZXWlmjxVuzlVFQJkmKDfHT+V2jeDQMaCSBvl7q3jrE894wDJVWuZRfUqnyapcMQzIMyS1DMiTZpMq8Q3rv8Vu1cunn6tunt3nhUWd+3g5d0itO7609oMNFFfpie44uSIzi7koAAACgEVHswdL255dq0ZZslVe75GW36dzOrdS9tZNfLAET2Ww2Bfl6Kcj3xP8Xc7D0oGqKsrnDy+LCA300tHuMPtlwWFsOF6tVkK96tQ01OxYAAADQYlDswZJcbkOr9+Tr+/1HJEkRQT66uHuswgN9TE4GAC1Lu8hA9e8UqW925WnFzlyFBfooPpxFTgAAAIDG8HtLFgJNztGKan2QdtBT6vVoHaKRfdpS6gGASU6PD1ViTLAMQ5q/KVOFZVVmRwIAAABaBIo9WEru0Uq9t/aAsoor5ONl18U9YjQwMUpeDr6VAcAsNptNFyRGKdrpq8oat+ZvylKNy212LAAAAKDZow2BZezPL9XctAMqrXIpItBHo86IV+eoYLNjAQAkeTnsGtYjVv7eDuWWVGrFjlyzIwEAAADNHsUeLGHL4SJ9suGwql2G2oT566o+beT09zY7FgDgJ4L9vDWkW7QkafPhYm3LLDY5EQAAANC8UeyhSTOMY4tkLE3PkWFIiTHBujyltXy9HGZHAwD8ioSIQJ3RPlyStGxbjvJLKk1OBAAAADRfFHtostyGoaXpOVqzt0CS1LddmAYnR8tht5mcDADwW85sH662Yf6qcRuavylLVTXMtwcAAAA0BIo9NEmGYWj5thxtzSyWzSYNTIzSWR0jZbNR6gFAU2e32TSkW4wCfRwqKKvS8u05MgzD7FgAAABAs0OxhybHMAx9uSNXWw4XyyZpaLcY9WgdYnYsAMBJCPT10tDusbLZpO1ZR7X5EPPtAQAAAPWNYg9NimEY+mZXnjYeLJIkDU6OVudoVr4FACtqHeavszpGSJJW7MxVHvPtAQAAAPWKYg9Nyuo9BVqXUShJuiAxSomxTnMDAQBOSe/4MCVEBMjlNrRwc5ZqXMy3BwAAANQXL7MDAMet3Veg7/YdWyhjQJdW6s7jt0Czl56ebur4kZGRio+PNzVDc2ez2TQ4OVpvr8lQfmmVvt6Zp/MTo8yOBQAAADQLFHtoEjYdLNLK3fmSpLM7RSilbai5gQA0qOKCXEnS6NGjTc3hHxCgbenplHsNLMDHS4OTo/Xx+sPaeKhI8REB6tgqyOxYAAAAgOVR7MF0B4+U6csdOZKkM9qHq09CuMmJADS08pJjCykMu+UBde3Z25QM2Rm79fZTE5WXl0ex1wgSIgJ1Wnyofsgo1NKt2Yo+009BfvwYAgAAAJwKfqKGqYrKq/X5xky5DalrdLD6tafUA1qSiLgEtenczewYaCRndYzQwSPlyj1aqUVbs/Sn01qbHQkAAACwNBbPgGkqa1z6bMNhVdS4FRXsq0FJUbLZbGbHAgA0EC+7XUO7xcjLbtPBI+Vat/+I2ZEAAAAAS6PYgykMw9CiLdnKL61SoI9Dl/SMk5eDb0cAaO7CAn00oGsrSdKqPfkqqOQvdAAAAIC6okmBKVbuztfevFI57DYN7xnHPEsA0IJ0i3Wqc1SQ3Ia0Nt9LNi9fsyMBAAAAlkSxh0a3LatY3//4+NWgpCjFhPiZnAgA0JhsNpsGJkYp0MehkhqbQs+73uxIAAAAgCVR7KFRHSmt0rL0Yyvg9k4IU2KM0+REAAAz+Hk7dGFytCTJ2fsSrc+qNDkRAAAAYD0Ue2g0LrehhVuyVOM21DbMX2d1jDA7EgDARAkRgeoQ5JIk/XttoYrKqk1OBAAAAFgLxR4azeo9+co5Wik/L7sGJ8fIzgq4ANDi9Qh1qbrgkArK3Xrok81mxwEAAAAshWIPjaLQ5eOZV29gUhSLZQAAJEledilv3nOy26RPNxzWpxsOmx0JAAAAsAyKPTQ4m2+gtlWFSpKSY53qHBVsbiAAQJNSlblDVyYFSZIe/GiTsooqTE4EAAAAWAPFHhpcxODbVGl4KcTfWwO6tDI7DgCgCboyOUg924SouKJGEz/YIMMwzI4EAAAANHkUe2hQOXIqMPk8SYYu6hYjHy++5QAAv+Rlt2nq1Sny9bLr6515emv1frMjAQAAAE0eLQsaTHF5tXYrRpKU4H1UMSF+JicCADRlnaKCNGlooiTpifnp2p1bYnIiAAAAoGmj2EODMAxDX+7IlUsOVRxKV4IXv5wBAH7fdant1L9TpCqq3br7vfWqdrnNjgQAAAA0WRR7aBB78kq1N69UNhnKn/+ibDazEwEArMBut+mZq3rK6eelDQeLNO2LXWZHAgAAAJosij3Uu6oat77cnitJaq181RQcNDkRAMBKYkP89fjl3SVJLy/fpQ0HCs0NBAAAADRRFHuod9/tLVBJZY2cfl5qqzyz4wAALOjSXnEa3jNWLrehu95fr/Iql9mRAAAAgCaHYg/1Kq+kUj8cOCJJOq9rlBwyTE4EALAim82mf17eXdFOX+3JLdWTC9LNjgQAAAA0ORR7qDeGYWj5thy5Daljq0C1jww0OxIAwMJCA3z09JW9JEmzV+3X1ztzTU4EAAAANC0Ue6g3WzOLlVlUIW+HTQO6tDI7DgCgGRjQpZWu7ZcgSZo4d6OKyqpNTgQAAAA0HRR7qBfl1S59s+vYfHr92kco2M/b5EQAgOZi0sWJ6hAZqKziCj30yWaz4wAAAABNBsUe6sW3u/JUUe1WRJCPerUNNTsOAKAZCfDx0tQ/p8hht+nTDYf16YbDZkcCAAAAmgSKPZyyvJJKbTlcLEka2DVKDrvN5EQAgOYmpW2oxp3fSZL04EeblFVUYXIiAAAAwHwUezhlK3fnS5I6RQUpLtTf5DQAgObq9oGd1LNNiIorajTxgw0yDFZeBwAAQMtGsYdTcqiwXHvzSmWzSWd1jDA7DgCgGfN22DX16hT5etn19c48vbV6v9mRAAAAAFNR7KHODMPQtz8umNEt1qmwAB+TEwEAmrtOUUGaNDRRkvTE/HTtzi0xOREAAABgHoo91NnevFJlFlXIy27TmR24Ww8A0DiuS22n/p0iVVHt1t3vrVe1y212JAAAAMAUFHuoE7dh6Nsf59ZLaRuqIF8vkxMBAFoKu92mZ67qKaeflzYcLNK0L3aZHQkAAAAwBcUe6iQ9s1gFpVXy9bKrT0KY2XEAAC1MbIi/Hr+8uyTp5eW7tOFAobmBAAAAABNQ7OGk1bjcWr2nQJJ0Rrtw+Xo7TE4EAGiJLu0Vp+E9Y+VyG7rr/fUqr3KZHQkAAABoVBR7OGkbDhappLJGQb5e6tkmxOw4AIAWymaz6Z+Xd1e001d7ckv11MJtZkcCAAAAGhXFHk5KZbVLa/cdu1uvX4dweTn4FgIAmCc0wEdPX9lLkjRr5T59vTPX5EQAAABA46GVwUlZf7BQlTVuhQf6KCnWaXYcAAA0oEsrXdsvQZI0ce5GFZVVm5wIAAAAaBymFnuvvPKKevbsKafTKafTqdTUVC1YsMCzv6KiQuPGjVNERISCgoI0YsQIZWdn1zpHRkaGhg0bpoCAAEVFRWnixImqqalp7EtpEapdbq3/cXLyM9qFy26zmRsIAIAfTbo4UR0iA5VVXKGHPtlsdhwAAACgUZha7LVp00ZPPvmk0tLS9P3332vgwIG67LLLtGXLFknSXXfdpc8++0xz587VihUrdPjwYV1xxRWez7tcLg0bNkxVVVVauXKlZs+erVmzZunhhx8265Katc2HilRR7VaIv7c6RwWZHQcAAI8AHy9N/XOKHHabPt1wWJ+sP2R2JAAAAKDBmVrsXXLJJbr44ovVuXNndenSRf/6178UFBSk1atXq6ioSK+//rqmTp2qgQMHqnfv3po5c6ZWrlyp1atXS5IWL16srVu3as6cOUpJSdHQoUP1+OOPa9q0aaqqqjLz0podl9vQuoxCSVLvhDDZ7dytBwBoWlLahur2gZ0kSQ9+tFkHCspMTgQAAAA0rCYzx57L5dK7776r0tJSpaamKi0tTdXV1Ro0aJDnmMTERMXHx2vVqlWSpFWrVqlHjx6Kjo72HDNkyBAVFxd77vr7NZWVlSouLq71wm/bllWsksoaBfo4lBQbbHYcAAB+1fjzO6lPQpiOVtboznd/UI3LbXYkAAAAoMGYXuxt2rRJQUFB8vX11a233qqPPvpIycnJysrKko+Pj0JDQ2sdHx0draysLElSVlZWrVLv+P7j+05kypQpCgkJ8bzatm1bvxfVzLgNQ9/vOyJJOj0+TF52079tAAD4VV4Ou57/c4qCfb20LqNQLy/fZXYkAAAAoMGY3tB07dpV69ev15o1a3TbbbdpzJgx2rp1a4OOOWnSJBUVFXleBw4caNDxrG53TokKy6vl62VX99YhZscBAOA3tQ0P0L+u6CFJenn5Tq3dV2ByIgAAAKBhmF7s+fj4qFOnTurdu7emTJmiXr166cUXX1RMTIyqqqpUWFhY6/js7GzFxMRIkmJiYn6xSu7x98eP+TW+vr6elXiPv/DrDMPQ2h/v1ktpGyofL9O/ZQAA+F2X9orTFae3ltuQJry7XkXl1WZHAgAAAOpdk2tp3G63Kisr1bt3b3l7e2vZsmWefdu3b1dGRoZSU1MlSampqdq0aZNycnI8xyxZskROp1PJycmNnr052l9QptySSnk7bOrVNtTsOAAA/GGTL+uu+PAAHSos14Mfb5ZhGGZHAgAAAOqVl5mDT5o0SUOHDlV8fLyOHj2qd955R19++aUWLVqkkJAQjR07VnfffbfCw8PldDp1++23KzU1Vf369ZMkDR48WMnJybr22mv19NNPKysrSw8++KDGjRsnX19fMy+t2Tg+t1731iHy93aYnAYAgD8uyNdLL45M0ZUzVumzDYc1oEsrXdm7jdmxAAAAgHpjarGXk5Oj6667TpmZmQoJCVHPnj21aNEiXXjhhZKk559/Xna7XSNGjFBlZaWGDBmi6dOnez7vcDg0b9483XbbbUpNTVVgYKDGjBmjyZMnm3VJzcrhwnIdKiyX3Sad3jbM7DgAAJy00+LDdPeFXfTMou16+JPNSmkbqk5RQWbHAgAAAOqFqcXe66+//pv7/fz8NG3aNE2bNu2ExyQkJGj+/Pn1HQ2Svt9/7G69pFingvxM/VYBAKDObh3QUSt35+nbXfka/846fTzubPlxFzoAAACagSY3xx6ahqLyau3NK5Uk9U7gbj0AgHU57DY9/+cURQb5alvWUT322VazIwEAAAD1gmIPv2rDwUJJUkJEgMICfMwNAwDAKYoK9tOLI1Nks0n//S5Dn244bHYkAAAA4JRR7OEXql1ubT1cLEnq1SbU3DAAANSTsztF6vbzO0mSJv1vo+fOdAAAAMCqKPbwC9uyjqqyxq0Qf2+1iwgwOw4AAPXmjgs664z24Sqtcmnc2+tUUe0yOxIAAABQZxR7qMUwDM9juD3bhMhms5kbCACAeuTlsOulkacpPNBHWzOL9cT8dLMjAQAAAHXGUqeo5VBhufJLquRlt6lbrNPsOPUqPd28X97MHBsAUFtMiJ+mXt1L189cqzdX7VfvhDBdltLa7FgAAADASaPYQy0bDhZJkhJjg+Xr7TA5Tf0oLsiVJI0ePdrkJFJJSYnZEQAAks7rGqXx53fSv7/Ypfv+t0mJMU51jQk2OxYAAABwUij24HG0olq7c48VT81p0YzykmMLgQy75QF17dnblAzp363QgtkvqqKiwpTxAQC/dNeFXbThYKG+3pmnW+ek6ZPxZ8vp5212LAAAAOAPo9iDx6ZDRTIMqU2ovyKDfM2OU+8i4hLUpnM3U8bOzthtyrgAgBNz2G16ceRpuuTlb7Q3r1T3vL9B/xndW3Y788sCAADAGlg8A5KkGpdbmw8du7OtV9tQc8MAANBIwgN99Mro0+XjsGvJ1mzN+Iq/iAEAAIB1cMceJEk7c0pUXu1SkK+XOkQGmh0HABoNC+ugZ5tQTb6sm+77cJOeXbRdPVuHqn/nSLNjAQAAAL+LYg+SpA0HCyVJPduE8AgSgBaBhXXwUyPPiNcPGYV67/sDuuPdH/TZ7f3VOtTf7FgAAADAb6LYg7KLK5RdXCmH3aZucU6z4wBAo2BhHfzcY5d109bMYm06VKRb3vpec285S/4+zWOFeAAAADRPFHvQlsPHfrntFBWkAB++JQC0LCysg+P8vB16ZfTpuuzf32rzoWL9fe4G/fsvp8lm4052AAAANE0sntHCVbvc2p51VJLULZa79QAALVubsADNuLa3vB02fb4pUy8t22V2JAAAAOCEKPZauN05JapyueX081KbMOYSAgCgb7tw/fPy7pKk55fu0IJNmSYnAgAAAH4dxV4Ld/wx3OQ4J48aAQDwoz/3jdcNZ7eTJN39/gZtOVxkbiAAAADgV1DstWCFZVU6WFguSUrmMVwAAGp54OIkndM5UuXVLt38ZprySirNjgQAAADUQrHXgm3NPHa3XkJ4gIL9vE1OAwBA0+LlsOvf15yuDpGBOlRYrlveSlNFtcvsWAAAAIAHxV4L5TYMpWf+uGhGHHfrAQDwa0ICvPXamD4K9vNS2v4juuf9DXK7DbNjAQAAAJIo9lqsjPwylVTWyM/brvatAs2OAwBAk9WxVZD+85OVcp9cuM3sSAAAAIAkir0Wa8uPj+EmxjjlZefbAACA33JWx0g9c2UvSdKrX+3R7JX7zA0EAAAAiGKvRSqvcmlPbokkFs0AAOCPuvy01po4pKsk6bHPtmjxliyTEwEAAKClo9hrgbZlFcttSFHBvmoV7Gt2HAAALONv53XUNWe0lduQ7nj3B/2QccTsSAAAAGjBKPZaGMMwPI/hsmgGAAAnx2az6fHLuuu8rq1UUe3WjbO/1768UrNjAQAAoIWi2Gthso9WKr+kSg67TV2jg82OAwCA5Xg57Jr2l9PVvbVT+aVVGv36GmUVVZgdCwAAAC0QxV4Ls/Xwsbv1OkUFydfbYXIaAACsKdDXS29c31ftIgJ08Ei5rn19jY6UVpkdCwAAAC0MxV4L4nIb2pl9VBKLZgAAcKqigv301tgzFe301c6cEl0/8zuVVNaYHQsAAAAtCMVeC7I/v1QVNW4F+jjUJszf7DgAAFhe2/AAzRl7psICvLXhYJFufvN7VVS7zI4FAACAFoJirwXZnnXsbr0u0cGy22wmpwEAoHnoHB2sWTecoUAfh1buztcd//1BNS632bEAAADQAlDstRBVNW7t+XHVvq4xLJoBAEB96tU2VP83pq98vOxavDVb//hgo1xuw+xYAAAAaOYo9lqI3bklqnEbCg3wVlSwr9lxAABodlI7Rmj6X06Xw27Thz8c0r3/o9wDAABAw6LYayGOP4abGB0sG4/hAgDQIAYlR+vFkSly2G36IO2g7vvfRrkp9wAAANBAvMwOgIZX4ZIyCsok8RguAAANbXjPOBmGNOG99ZqbdlA2m/TkFT1lt/MXawAAAKhf3LHXAhwss8uQFO30VWiAj9lxAABo9i7pFafn/5wiu016//uDmvThJu7cAwAAQL2j2GsBDpQe+2NOjHGanAQAgJbj0p+Ue+99f0D3f0S5BwAAgPpFsdfMeYXGqqDKLpukzlFBZscBAKBFuSyltafce3ftAU38YKNqXG6zYwEAAKCZoNhr5gKTB0iS2oYHKNCXKRUBAGhsx8s9h92m/607qNv/+4Mqa1xmxwIAAEAzQLHXjBmG4Sn2Elk0AwAA01yW0lrTR50uH4ddCzZn6aY301ReRbkHAACAU0Ox14ztOVIj74i2stsMdWgVaHYcAABatCHdYvT69X3k7+3QVztyNeaN71RcUW12LAAAAFgYz2Y2Y19llEuS4vzd8vVymJwGAIATS09PN3X8yMhIxcfHN/g453RupbfGnqEbZq7Vd/sKNOq1NZr91zMUHsiq9QAAADh5FHvNlMtt6Jsfi722AUzSDQBomooLciVJo0ePNjWHf0CAtqWnN0q516dduP57cz9d98Z32nSoSFfNWKnZfz1DbcICGnxsAAAANC8Ue83Umr35OlLhlqv8qGL8fc2OAwDAryovKZYkDbvlAXXt2duUDNkZu/X2UxOVl5fXKMWeJHVvHaL3b+mna1//TrtzS3XF9JWadcMZSo5zNsr4AAAAaB4o9pqpfu0j9Ph54brtnmdl73qH2XEAAPhNEXEJatO5m9kxGlWnqGB9+LezdP0ba7U9+6iu/s8q/efa3jq7U6TZ0QAAAGARLJ7RTNntNnWL8lXp1i/NjgIAAE4gNsRf79+aqjPbh6ukskbXz/xOH/9wyOxYAAAAsAiKPQAAABOF+HvrzbFnaFjPWFW7DE14b71mrNgtwzDMjgYAAIAmjmIPAADAZL5eDr088jSN7d9ekvTkgm26/6PNqnaxABYAAABOjGIPAACgCbDbbXpoeLIeHJYkm03673cZGvPGdyoqqzY7GgAAAJooij0AAIAm5MZzOui1a/sowMehlbvz9afp32pvXqnZsQAAANAEUewBAAA0MYOSo/XBrWcpLsRPe/JKdfm0b7Vyd57ZsQAAANDEUOwBAAA0QclxTn08/myltA1VUXm1rnv9O72zJsPsWAAAAGhCKPYAAACaqKhgP717cz9d2itONW5D93+0SZM+3KTKGpfZ0QAAANAEUOwBAAA0YX7eDr04MkUTh3T1LKpxzaurlV1cYXY0AAAAmIxiDwAAoImz2Wwad34nvXF9Xzn9vLQuo1DDX/5GafsLzI4GAAAAE1HsAQAAWMT5XaP06fj+6hIdpNyjlRr56mq9vWa/DMMwOxoAAABMQLEHAABgIe0iA/XR387WxT1iVO0y9MBHm/X3uRtVXsW8ewAAAC0NxR4AAIDFBPp6adpfTtc/Luoqu03637qD+tP0b7Unt8TsaAAAAGhEFHsAAAAWZLPZ9LfzOuntG/spMshX27KO6tJ/f6v5mzLNjgYAAIBGQrEHAABgYakdIzT/jv46o324Sipr9Le31+mxz7aoqsZtdjQAAAA0MC+zAwAAADQF6enppo4fGRmp+Pj4On02yumnd248U88u3qEZK3Zr5rf7tG7/Eb10zWlKiAis56QAAABoKij2AABAi1ZckCtJGj16tKk5/AMCtC09vc7lnpfDrvuGJqp3Qpj+PneDNhws0rCXvtE/L++uy09rXc9pAQAA0BRQ7AEAgBatvKRYkjTslgfUtWdvUzJkZ+zW209NVF5eXp2LveMuTI7WgjvP0YR31+u7fQWa8N56fbUzV5Mv664gX370AwAAaE746Q4AAEBSRFyC2nTuZnaMehEX6q//3txP/16+Sy8u26EP1x3yPJrbs02o2fEAAABQT1g8AwAAoBly2G26c1BnvXdLqlqH+mtffplGvLJSr361W263YXY8AAAA1AOKPQAAgGasb7twzb/jHA3tHqNql6En5m/TmJnfKedohdnRAAAAcIoo9gAAAJq5kABvTR91uqZc0UN+3nZ9vTNPF7/4tb7YnmN2NAAAAJwCij0AAIAWwGaz6Zoz4vXZ+P5KjAlWXkmVbpi5Vo/P26rKGpfZ8QAAAFAHLJ4BtCDp6ektcmwAwP/XOTpYH487W08u2KZZK/fp9W/26ttdeXphZIoSY5xmxwMAAMBJoNgDWoDiglxJ0ujRo01OIpWUlJgdAQBaPD9vhx69tJv6d4rUvf/bqG1ZR3Xpy9/qnsFddOM5HeSw28yOCAAAgD+AYg9oAcpLiiVJw255QF179jYlQ/p3K7Rg9ouqqGCydgBoKgYlR2th23M16cONWpqeoykLtmlZeo6eu7qX2oYHmB0PAAAAv4NiD2hBIuIS1KZzN1PGzs7Ybcq4AIDf1irYV69d10fvf39Akz/bqu/2FeiiF77SI5d001V92shm4+49AACAporFMwAAAFo4m82mP/eN14I7z1XfdmEqrXLpH//bqJvfSlNeSaXZ8QAAAHACFHsAAACQJMVHBOjdm1N139BEeTtsWrI1W0Oe/0qLt2SZHQ0AAAC/gmIPAAAAHg67TbcO6KhPxvVXYkyw8kurdPNbafrHBxt0tKLa7HgAAAD4CYo9AAAA/EJynFOfjD9bt5zbQTab9P73BzX0xa+1ek++2dEAAADwI4o9AAAA/CpfL4cmXZyk925OVZswfx08Uq6Rr67WY59tUXmVy+x4AAAALR7FHgAAAH7TGe3DtXDCubrmjLaSpJnf7tPFL32ttP1HTE4GAADQslHsAQAA4HcF+XppyhU9NeuGvopx+mlvXqmumrFSTy7Ypsoa7t4DAAAwg6nF3pQpU9S3b18FBwcrKipKl19+ubZv317rmIqKCo0bN04REREKCgrSiBEjlJ2dXeuYjIwMDRs2TAEBAYqKitLEiRNVU1PTmJcCAADQIpzXNUqLJpyrK05rLbchzVixW5e8/I02HSwyOxoAAECLY2qxt2LFCo0bN06rV6/WkiVLVF1drcGDB6u0tNRzzF133aXPPvtMc+fO1YoVK3T48GFdccUVnv0ul0vDhg1TVVWVVq5cqdmzZ2vWrFl6+OGHzbgkAACAZi8kwFtT/5yiV6/trcggH+3ILtHl07/V1CU7VFXjNjseAABAi+Fl5uALFy6s9X7WrFmKiopSWlqazj33XBUVFen111/XO++8o4EDB0qSZs6cqaSkJK1evVr9+vXT4sWLtXXrVi1dulTR0dFKSUnR448/rnvvvVePPvqofHx8zLg0AACAZm9wtxj1aReuhz7ZrM83ZuqlZTu1LD1bz13dS4kxTrPjAQAANHumFns/V1R07BGO8PBwSVJaWpqqq6s1aNAgzzGJiYmKj4/XqlWr1K9fP61atUo9evRQdHS055ghQ4botttu05YtW3Taaaf9YpzKykpVVlZ63hcXFzfUJQEAAPxh6enppo4fGRmp+Pj4k/pMeKCPpv3ldF3U7bAe+mSzthwu1iUvf6MJg7rolnM7yMtxcg+IZGRkKC8v76Q+U9/q8nVA88T3IwCgqWsyxZ7b7daECRN09tlnq3v37pKkrKws+fj4KDQ0tNax0dHRysrK8hzz01Lv+P7j+37NlClT9Nhjj9XzFQAAANRNcUGuJGn06NGm5vAPCNC29PQ6lQiX9IrTmR3Cdf+Hm7U0PVvPLNquJVuz9exVvdQpKugPnSMjI0OJSUkqLys76fHr06l8HdB88P0IALCCJlPsjRs3Tps3b9Y333zT4GNNmjRJd999t+d9cXGx2rZt2+DjAgAA/JrykmNPDwy75QF17dnblAzZGbv19lMTlZeXV+cCISrYT69d11v/W3dIj322ResPFGrYS19r4pCu+uvZ7WW3237z83l5eSovK9Ooe59RdHzHOmU4VfXxdUDzwPcjAMAKmkSxN378eM2bN09fffWV2rRp49keExOjqqoqFRYW1rprLzs7WzExMZ5jvvvuu1rnO75q7vFjfs7X11e+vr71fBUAAACnJiIuQW06dzM7ximx2Wy6sncbnd0pQv/4YKO+3pmnf36ersVbsvXMVT2VEBH4u+eIju9o+a8Dmg++HwEATZmpq+IahqHx48fro48+0vLly9W+ffta+3v37i1vb28tW7bMs2379u3KyMhQamqqJCk1NVWbNm1STk6O55glS5bI6XQqOTm5cS4EAAAAtcSG+OvNv56hJ/7UQ4E+Dn23r0BDX/xab63eL8MwzI4HAADQLJha7I0bN05z5szRO++8o+DgYGVlZSkrK0vl5eWSpJCQEI0dO1Z33323vvjiC6WlpemGG25Qamqq+vXrJ0kaPHiwkpOTde2112rDhg1atGiRHnzwQY0bN4678gAAAExks9n0lzPjtXDCuerXIVxlVS499PFmXfv6dzpUWG52PAAAAMsztdh75ZVXVFRUpPPOO0+xsbGe13vvvec55vnnn9fw4cM1YsQInXvuuYqJidGHH37o2e9wODRv3jw5HA6lpqZq9OjRuu666zR58mQzLgnA/2vvzuOjqg/9/7/P7Jns+0pC2HdQlgjigqCAFitaWxRatV6trbRVal1u69ba+i3eWmvVenu7aHvFauvSVqs/FQVkFxARDFsIDNkz2SeZSSYz8/sDzBUFZUtOJnk9H80jmTMz57wn7emBN5/P+QAA8CkDUtxa9h9n6d55o+SyW7R6r1dzfrVKz793kNF7AAAAp8DUe+wdzx/kXC6XHn/8cT3++OPHfE1BQYH+/e9/n85oAAAAOI0sFkPXnV2o84al67a/faAtnkbd/sI2vb6jSv/v8rHKSHCZHREAACDqmDpiDwAAAP3LoPQ4/e2mabpz7gg5rBa9vbNGF/5qlf6xtZzRewAAACeIYg8AAAA9ymoxdNN5g/XK96ZrbG6imvxBff+vW/XQ2kZZ3IlmxwMAAIgaFHsAAAAwxbDMeL34nWlacuEw2SyG1pcHlPPNx1XeZpgdDQAAICpQ7AEAAMA0dqtF35s5VC/ffLYKEm2yxiZpvdeu17dXKRAMmR0PAACgV6PYAwAAgOnG5CZq6aw0Na19TlJEu6pb9L/rD6jU22p2NAAAgF6LYg8AAAC9gt1qqPHdv2hGZqeS3Xa1doT0zw8q9OZH1WrvZPQeAADAp1HsAQAAoFdJcUZ09ZR8nZGfJEn6qLJZ/7veI099m7nBAAAAehmKPQAAAPQ6NqtF5w5N11fOzFNijF2+9k699H653t5Zo47OsNnxAAAAegWKPQAAAPRauckxWliUr3F5iZKkD8ubtGyjR+UNfpOTAQAAmI9iDwAAAL2a3WrRjOEZmn9GruJdNjX5g/r7ljKt2l2rzhCj9wAAQP9FsQcAAICokJ/i1sKifI3OSZAkvX+wUcs2elTVFDA5GQAAgDko9gAAABA1nDarZo3M1KXjcxTrsKqhLajnNx3Umr1edYYZvQcAAPoXm9kBAAAAgBNVmBarRWcVaMXuWu2qatGmAw0qrWvVRaMylRHvMjveKfN4PPJ6vaZmSEtLU35+vqkZAADA56PYAwAAQFRy2a2aMzpLQ9Lj9PbOGtX5OvTcewc1ZWCKJg1MkdVimB3xpHg8Ho0YOVL+tjZTc8S43dpZXEy5BwBAL0axBwAAgKg2JCNOOUkuvbOzVntrfVpfWq993kOj91LjnGbHO2Fer1f+tjYtvOMhZeYPNiVDtadEz/zih/J6vRR7AAD0YhR7AAAAiHpuh00Xj83S7mqf3tlVo5qWdj278aCmFKZoYkFyVI7ey8wfrLyho82OAQAAejEWzwAAAECfYBiGhmfF6+tnFagwLVahSETr9tXpufcOqqaFlXMBAEDfQ7EHAACAPiXWadO8cdmaPTpTLrtFtb52/fW9g1pb4lVniJVzAQBA30GxBwAAgD7HMAyNyErQ188q0NCMOEUi0nv7G7Rso0cVjX6z4wEAAJwWFHsAAADosw7dey9bl4zNltthVUNbUH/bXKblxdVqD4bMjgcAAHBKWDwDAAAAfd6QjDjlJcdo9V6vdlQ0a3tFs/Z5W3XesHQNzYiTYUTf4hoAAAAUewAAAOhSXFzcZ4/tsls1a2SmRmTF6+2dNWpoC+q17VUqTnVrxvAMJcTYu/X4AAAApxvFHgAAANRcXytJWrRokclJJJ/P1637z0t26+qifG3a36BN+xu0v65Nf1l/QJMHpigz0q2HBgAAOK0o9gAAACC/r1mSdMm3fqTh4yaakqF440q99vSvFQgEuv1YNotFZw1K1bDMQ6P3yhv9WrevTrE2u2IGTer24wMAAJwOFHsAAADokppToLyho005drWnpMePmRLr0BVn5mp3tU/v7q1Va3tIGVfep5+/W69fFrSqIDW2xzMBAAAcL1bFBQAAQL9mGIaGZ8XrG2cN1LD4kCKhTm2qbNeFv1qlB18rVpM/aHZEAACAo6LYAwAAACQ5bBaNTQ6p4o+LNS7ToY7OsP575T6d/9A7+uPqUnV0hs2OCAAAcASm4gKACfryqpMAEO0668t077kpanTn6cHXdmpvjU8/eeUjPbV2v26fM1yXjM2WYRhmxwQAAKDYA4Ce1J9WnQSAaGYYhmaOzNR5w9L1/KYyPfzmbnnq27R42fv6Xd4+fX/mUF0wIoOCDwAAmIpiDwB6UH9bdRIAop3NatHVRfn68oQc/c+7+/S7Vfu0raxJ1z+9SWNyE/S9C4bqwlGZFHwAAMAUFHsAYIL+tuokAES7WKdNt8wapkVnFeh/3t2nv6w7oO3lzbrxL5s1KjtB35s5VBeNypTFQsEHAAB6DotnAAAAAMcpLc6pu+aO1Oo7LtC3zx+sWIdVH1U266b/3awZv1yhP64uVUuAVXQBAEDPoNgDAAAATlBKrEN3zBmh1XdcoMUzhijBZdOBujb95JWPNPXBt3XfP3dov7fV7JgAAKCPYyouAAAAcJKSYx26bfZwfWfGYL24pVxPrd2vvTU+PbV2v55et1/Th6Rp/hm5mj06S7FO/uj9aZ2hsKpb2lXZ6Fd5o1+1Le1qaOtQQ1tQjW0damgNqskfVHtnSMFQRJ2hsDpCEQVDYVkMye2wye2wyu2wKsZhVZzTpqxEl3KT3MpNjlFuUozykmOUHudkmjQAoE/iTxcAAADAKXI7bFp0VoEWFuVr9V6v/rRmv97eWaN393j17h6v3I7tmj06S/PPyNXZQ9Jk7UclU0dnWJ76Vu2rbdU+b6v21fpU6m1VeYNfVc0BhSMnv++GtuOb9hzvtGlsXqLG5SVpfF6ixg1IUk6ii0VPAABRj2IPAAAAOE0Mw9A5Q9N1ztB0eera9NL75Xrp/TLt7/q5XGlxTl0wIl0zhmfo7KFpSnDZzY59yiKRiGp97YfKu9pD5d3HJd7BBr9Cn9Pe2SyGshJdykmKUWaCS8luu5LdjkPfYx1KjLHLZbfKbrXIbjW6vocjUltHSG0dnWprD6ktGFJLIKjKxoDKG/0qbzg0CrCyya+W9k6tLanT2pK6ruOmxzt13rB0zRqZoelD0xXHiEoAQBTi6gUAAAB0g/xUt74/a6i+N3OI3j/YqJe2lOtf2yrk9bXr+U1len5TmWwWQ5MGJmvG8AwVDUrVyOx4s2N/rkAwpFLvZ8u7fbWtamnvPOb73A6rBqXHalBanAalx6owLVYDUtzKTYpRWpyzW0cwBkNh7an2aVtZoz4oa9IHBxu1q7pFtS3t+vvmMv19c5kcVouKBqVo1shMzR6dpaxEV7flAQDgdKLYAwAAALqRYRg6Mz9ZZ+Yn6+4vjdJ7++v1zs4avbOrRiW1rVq/r17r99VLkhxWiwoSrUqeeaM8rRa5WzuUEGOTzdJza951dIbV1GEoZvBkvbqnVf8s26GSw+VdRZNfkWMMvjMMKS85pqu8G5Qep8Fph75nJjhNm/Zqt1o0KidBo3IStGDKoW2BYEhbDjRo+c4avVVcrQN1bV3Tpu//1w5dMCJDU1KDksFagwCA3o1iDwAAAOghDptFZw9J09lD0vTjL42Sp65NK3bXaOWuWm3xNKihLag99WElTLpU79VJ79UdkCEp3mVTYoxdiW67kmIccjusctotctmsctmtctktslstMiTJkAwZMgxJESkYDit4eMGJjs6wgqGwAsGwWj+ewtrRqbaOkHztnWoJdMofDEmyK+Mr9+oP7zdLaj7iMyS4bBqUfqi8G5wep0GHy7uCVLdcdmuP/05Phstu1bQhaZo2JE0/vmSkSmp9equ4Rm/sqNIWT6PeKq7RW5Jyb/qDPmq0KiEQ7BNTpgEAfQ/FHgAAAGCS/FS3vjF1oL4xdaAikYgO1vv10rvv6/7HntbAafPUErIqGIqoOdCp5kCnDjb4eySX3RKRr6JEZwzL19DsZOXE25Qbb1NOvFWJTsvh0XdhSc1SsFmtFdJHFac/R1pamvLz80//jj/BMAwNyYjXkIx43XTeYO2tadFfNx7Ucxv3qyUhXcXN0s41+zU8K15TBqYoOdbRrXkAADgRFHsAAABAL2AYhvJT3TonP0YNy/9H110+V7lDhqmtI6Qmf1CN/qCa2oJq8gflD4YUCIbU3hnu+v65+5Zkt1nkOLzwhNNmVazTKrfDJrfDqliHTW6nVQkuuxJcNpVseVe/f/oWvSbptR759EcX43ZrZ3Fxt5d7nzQkI14//tIozcr0a+Y1SzTqyttU227RzqoW7axq0bDMOE0ZmKLUOGePZQIA4Fgo9gAAAIBeyjAMxTptinXalJMUc8zXhSMRhcIRRSJSRBEd/o8iEcluNWS1GCd0jzu/79D020u+9SMNHzfxVD/GSan2lOiZX/xQXq+3R4u9jzmshtqKV+nczFtkzxysjaX12udt1e5qn3ZX+zQ0I05FhRR8AABzUewBAAAAUc5iGLJYT//iFKk5BcobOvq07zfaZCa4NG98jmpb2rWxtF57a33aU+PT3lqfxuUm6qxBqVFzf0EAQN9CsQcAAAAAxyE93qlLxmXL62vX+n11Kqlt1QdlTdpV3aKpg1I1JidRFos5q/8CAPon1m8HAAAAgBOQFufUl8blaP4ZuUqNdSgQDOudXbV69j2PDta3mR0PANCPUOwBAAAAwEnIT3Hr6in5On9Yupw2i7y+Dr34frne/Kha7cGQ2fEAAP0AxR4AAAAAnCSLxdD4AUm6ZtpAjctNlCR9VNmsv6w/oH21PpPTAQD6Ooo9AAAAADhFMXarZozI0Fcm5inJbVdrR0j/2lap17dXyd/B6D0AQPeg2AMAAACA0yQ3KUYLp+RrYkGyDEm7qlv0l/UHtLeG0XsAgNOPYg8AAAAATiOb1aLpQ9L01ckDlBrrkD8Y0qsfVuqt4moFQ2Gz4wEA+hCKPQAAAADoBlkJLi2YMkATC5IlSTsqmrVso0c1zQGTkwEA+gqKPQAAAADoJjbLodF7l5+Rq1inVY1tQT236aA2H2hQJBIxOx4AIMpR7AEAAABANxuQ4tbCogINTo9VOCKt3uvVS1vL1dreaXY0AEAUo9gDAAAAgB4QY7fqkrHZmjkiQzaLoYP1fi3b6FFZQ5vZ0QAAUYpiDwAAAAB6iGEYGpObqKum5Cs11qG2jpBe3FKujfvrmZoLADhhFHsAAAAA0MNSYh362uQBGpkdr4ikdSV1+scHFfJ3hMyOBgCIIhR7AAAAAGACu9Wii0ZladbIDFkthg7UtWnZRo8qGv1mRwMARAmKPQAAAAAw0eicRH1t0gAlue3ytXfqhS1l2uJpEDNzAQBfxGZ2AAAAAKC3KS4u7pfHhnnS4526anK+lu+s1u5qn97d41V2jE0WZ6zZ0QAAvRjFHgAAAHBYc32tJGnRokUmJ5F8Pp/ZEdDDHDaL5ozOUm5Sk1bt9qrSb1HWtb/W3voOnWl2OABAr0SxBwAAABzm9zVLki751o80fNxEUzIUb1yp157+tQKBgCnHh7kMw9C4vCRlJrj0zy0etSVl6T/frlMgdr++flaBDMMwOyIAoBeh2AMAAAA+JTWnQHlDR5ty7GpPiSnH7a3Mmpps9pTozASXZmYH9dzbm+UeNlX3/GOHNpTW6/9dPlbxLrup2QAAvQfFHgAAAIBep7dMizZzSrTDItW+9DPd9+wq/WVbi17dVqmPKpr1+NVnalROgmm5AAC9B8UeAAAAgF7H7GnRvWlK9LxhsZo3bYwWP7NFpd5WzX9ijX7y5dH66qQBTM0FgH6OYg8AAABAr2XWtOjeNiX6zPxkvfq9c7Tk+a16Z1et7njhQ23YV68H5o+R28Ff6wCgv7KYHQAAAAAA8MWSYx36wzWTdfuc4bIY0ovvl+tLj67WtrJGs6MBAExCsQcAAAAAUcJiMfSd84do2Q1nKSvBpX3eVl3+xFr9dkWJQuGI2fEAAD2MYg8AAAAAosxZg1L1+i3naO6YLHWGI/rF6zu18PfrVdHoNzsaAKAHUewBAAAAQBRKcjv0xMIztfSKcXI7rFq/r15zf/2uXtlWYXY0AEAPodgDAAAAgChlGIa+OnmAXv3eORqfl6gmf1CLl72vb/1lk2qazV/RFwDQvSj2AAAAACDKFabF6u/fnqbvXTBENouh/29HtWY9vFLPbzqoSIR77wFAX8W66AAAAADQB9itFi25aLjmjMnWHS9s04flTbr979v0z60VevDysRqQ4jY7YlTzeDzyer2mZkhLS1N+fr6pGQD0LhR7AAAAANCHjMpJ0EvfmaY/rC7Vw2/u1uq9Xl30q1X6zvmDdcO5g+SyW82OGHU8Ho9GjBwpf1ubqTli3G7tLC6m3APQhWIPAAAAAPoYm9Wib503WBeNztKdL2zThtJ6/fLN3Xp2o0e3zxmhS8fnyGIxzI4ZNbxer/xtbVp4x0PKzB9sSoZqT4me+cUP5fV6KfYAdKHYAwAAAIA+qjAtVs/ecJb+ta1Cv3htpyqaArrlua3609r9uvuSkZo0MMXsiMfF7GmwxcXFkqTM/MHKGzratBwA8GkUewAAAADQh1kshr48IVezR2fpD6tL9cQ7e/XBwUZ95cl1umhUpr59/mCdkZ9sdsxj6i3TYCXJ5/OZHQEAjkCxBwAAAAD9gMtu1c0zhujKSXn61Zu79dx7B/XGR9V646NqFRWm6KbzBuv84ekyjN41Rbc3TIMt3rhSrz39awUCAVOODwDHQrEHAAAAAP1IRrxLD14+TtdPL9R/r9ynl7eWa0NpvTaU1mtEVrxuPHeQLh6b3esW2TBzGmy1p8SU4wLAF7GYefBVq1Zp3rx5ysnJkWEYevnll494PhKJ6J577lF2drZiYmI0a9Ys7dmz54jX1NfXa+HChUpISFBSUpKuv/56hkcDAAAAwBcYkhGvh64cr1W3z9AN5xQq1mHVzqoWLXn+A0164C394PkP9O6eWoXCEbOjnrJQOKKWQFC1Le06WN+mvTU+ba9o0uYDDVpXUqfVe71atbtWK3bVaHlxtd74qEpvFVfrnZ01Wrm7VvuVrsTpC+UJxml7eZP21vhU3uBXna9dbR2dikSi/3cEIDqZOmKvtbVV48eP1ze/+U1dfvnln3l+6dKlevTRR/X000+rsLBQd999t2bPnq2PPvpILpdLkrRw4UJVVlbqzTffVDAY1HXXXacbb7xRy5Yt6+mPAwAAAABRJzsxRj+6ZJQWzxiq/91wQMs2eFTe6NcLW8r0wpYyZcQ7NW98ji4clakJA5J63Ui+cCQiX3unWvydag4E1RLoVEsgKF97p1rbQ/K1d8ofDJ3iUdKUdPZVKg1KpTtrPvOs1WIowWVTQoxdCS67EmMOfaXFOZQYY+9105sB9B2mFntz587V3Llzj/pcJBLRI488oh//+Mf68pe/LEn685//rMzMTL388stasGCBiouL9frrr+u9997TpEmTJEm/+c1vdPHFF+u//uu/lJOT02OfBQAAAACiWaLbrptnDNG3zxuszZ4Gvfx+uV79sFI1Le36w+pS/WF1qRw2iyYMSNJZhSkqGpSqM/OTFePo3qIvGIrIlpSlmoChpoomNR8u7pr9/1fgHc+gQotx6D6DLptVTrtFTptFLrtVDqtFVoshi8WQ1TAO/WxIYUnhcEShcEQVB/Zq5+Z1GjrlArmT0+XvCCkQDMkfDKm9M6xQOKKGtqAa2oKfOa7daig11qm0OIfS4pzKTHQpPc4pq4WyD8Cp67X32CstLVVVVZVmzZrVtS0xMVFFRUVat26dFixYoHXr1ikpKamr1JOkWbNmyWKxaMOGDZo/f74Z0QEAAAAgalkshiYPTNHkgSm6d95ordxdq1e2VWhtSZ1qW9q1sbReG0vrpbf3yjCknMQYDUxzqyA1VoWpsSpIdSsl1qFYp01xTptinTbFOq2yWyzqCIUVDIXV0RlWMBRRe2dIDW1B1be2q87XofrWQ19VzQGVN/hV1uBXdXNAud/6vd6tkVTz2dFy0qHSLt5lV7zLpoTD3z8+dtzh48fYrSc9cm7zgbVa99aTGnHOmZowfvwRz4XCh0YMNvuDagoE1ew/VDo2tHWorrVDwVBEVc0BVTX/38IbNouhrASXspNcyk6MUU6iS85eNhISQHTotcVeVVWVJCkzM/OI7ZmZmV3PVVVVKSMj44jnbTabUlJSul5zNO3t7Wpvb+963NzcfLpiAwAAAECf4bBZdOGoTF04KlORSESl3lat31evDaV12rCv/lAB1+hXeaNfa/bWdVuOcLBdCTEOpSTEKsFlU3yM/dB316HvsU6bLCZNd7VajK6ptwM+nTscUaM/KK+vXV5fu2pb2lXZFFB7Z1hljX6VNfolNcgwpKwElwpS3SpIiVVGgtO0zwMguvTaYq87Pfjgg7r//vvNjgEAAAAAX6i4uNjU46elpSk/P1+GYWhQepwGpcfp6qJ8RSIR1bV26EBdq0q9bdrvbdX+ulZ56tvU7A/K1x5S6+fc385uNeSwWpTkdigl9siv9Hin8pJjlJsUo4ayvZp59hQtefxF5Q3N7eFPf2osFqPrMw3LjJd06LZT9a0dqmwKqKLJr4rGgJr8QVU2BVTZFND6ffVy2S3KT3FrcHqcBqbGymEzdd1LAL1Yry32srKyJEnV1dXKzs7u2l5dXa0JEyZ0vabmU0OxOzs7VV9f3/X+o7nrrru0ZMmSrsfNzc0aMODT/7YCAAAAAOZprq+VJC1atMjUHDFut3YWFys/P/+I7YZhKC3OqbQ4pyYWpBzz/aFwRK0dnQp2huWwWeSwWWS3WGQ5znvMbfH2rSmqhmEoNc6p1DinxuQmSpKa/UEdqG/TgbpWHaz3KxAMa3e1T7urfbJZDBWkupUatshwxJicXvJ4PPJ6vaZm+LhsBtCLi73CwkJlZWVp+fLlXUVec3OzNmzYoG9/+9uSpKlTp6qxsVGbN2/WxIkTJUlvv/22wuGwioqKjrlvp9Mpp9PZ7Z8BAAAAAE6W33folkGXfOtHGj5uoikZqj0leuYXP5TX6z3pIuXQirH205ysb0mIsWtsbqLG5iYqHD50T7593lbtrfGpyR9USW2rSmTTgO8+o6VrG3Sju1rnDk2XzdqzI/k8Ho9GjBwpf1tbjx73045VNgP9kanFns/n0969e7sel5aWauvWrUpJSVF+fr5uueUWPfDAAxo6dKgKCwt19913KycnR5dddpkkaeTIkZozZ45uuOEGPfnkkwoGg1q8eLEWLFjAirgAAAAA+oTUnALlDR1tdgz0EIvFUE5SjHKSYnT24FR5fR3aU9Oi4rJ6+eTQ+rKA1j+1SRnxTl0xMU9XTszToPS4Hsnm9Xrlb2vTwjseUmb+4B455qedjrIZ6EtMLfY2bdqkGTNmdD3+eHrsNddco6eeekq33367WltbdeONN6qxsVHTp0/X66+/LpfL1fWeZ555RosXL9bMmTNlsVh0xRVX6NFHH+3xzwIAAAAAwOlkGIbS451Kj3dqQKhaj93/A33r//1Ra8qDqmlp129XlOi3K0o0eWCyvj51oOaOyZK9B0bxZeYPpmwGeglTi73zzz9fkUjkmM8bhqGf/OQn+slPfnLM16SkpGjZsmXdEQ8AAAAAgF7BMKRgbamum5CgX35jgt7eWa3nN5Vpxa4avbe/Qe/tb1BWgkvfmFagqybnKznWYXZkAD2g195jDwAAAAAAfJbDZtGcMdmaMyZb1c0B/XXjQf1l/QFVNQe09PVdenT5Hs0/I0/XTy/UkIyemaYLwBysmQ0AAAAAQJTKTHDp+7OGas2dM/TLK8drdE6CAsGwnt3o0YW/WqnFy7ZoV1WL2TEBdBNG7AEAAAAAEOWcNquumJiny8/M1cbSev1+dane/Khar2yr1CvbKjV3TJYWXzBEo3MSzY4K4DSi2AMAAAAAoI8wDENFg1JVNChVxZXNeuztvfr39kq9tr1Kr22v0oWjMvXD2cM1LDPe7KgATgOKPQAAAAAAokRxcfEJvf76kdKFOWl6odin1Z6A3vyoWsuLqzVjYIyuGhOvlBhrtx0bQPej2AMAAAAAoJdrrq+VJC1atOik92FLyVPSuV9X7PCztbzUrzd3N6j5vZfVvOEFRTr8x70fn8930hkAnF4UewAAAAAA9HJ+X7Mk6ZJv/UjDx008pX3VtQf1YaNVdXIpadoCZU7/mkYlhlQYF5ZhHPt9xRtX6rWnf61AIHBKxwdw+lDsAQAAAAAQJVJzCpQ3dPQp7SNP0rhIRPu8rVq916vGtqDeb7CpvNOpGcMzlJXoOur7qj0lp3RcAKefxewAAAAAAACgZxmGocHpcVpUVKDzhqXLYbOopqVdz206qOXF1fIHQ2ZHBHAcKPYAAAAAAOinrBZDEwYk6RtnFWhk9qGVcrdXNOvPa/dre3mTIpGIyQkBfB6KPQAAAAAA+rlYp00XjcrSV87MU2qcQ4HOsJbvrNELW8rV0NZhdjwAx0CxBwAAAAAAJEm5yTG6enK+zhmaJpvFUHmjX89s8GjLgQYxdg/ofVg8AwAAAAAAdLFYDJ2Zn6zB6XFaXlytgw1+vbvXqzgNlD0t3+x4AD6BEXsAAAAAAOAzEmPsmn9GrmaOzJDDZpFPMcq+9tc6EIxTmHvvAb0CxR4AAAAAADgqwzA0JidRXy8qUIpaZFjt2h9M0N83l6nJHzQ7HtDvUewBAAAAAIDPFeeyaaTK5H3lYVkVVmVTQM9sOKAdFaycC5iJYg8AAAAAAHwhQ1Lrjrc1yVWrnCSXgqGI3iqu0asfVqqto9PseEC/RLEHAAAAAACOm8sS0hVn5unsIamyGFJJbaue2eCRp77N7GhAv0OxBwAAAAAATojFMDSpIEULJucrNdahto6QXnq/XOtK6lhYA+hBFHsAAAAAAOCkpMc7tWDyAI3JSZAkbdxfrxe3lMvXztRcoCdQ7AEAAAAAgJNms1o0c2SmZo/OlN1qqLzRr2UbPDpQ12p2NKDPo9gDAAAAAACnbERWgq6akq+0OIf8wZBe3lqhNXu9CoeZmgt0F4o9AAAAAABwWiS7HfrapAEam5soSdp0oEEvbClTSyBocjKgb7KZHQAAAAAA0LsVFxf3y2Pj5NisFl0wIkN5yTFaXlyjiqaAlm306KJRWSpMizU7HtCnUOwBAAAAAI6qub5WkrRo0SKTk0g+n8/sCDhBwzLjlRHv1Gvbq1TT0q5/flChM/OTNG1wmqwWw+x4QJ9AsQcAAAAAOCq/r1mSdMm3fqTh4yaakqF440q99vSvFQgETDk+Tk2S26ErJ+Vp9R6vPihr0hZPoyoaA5o7NksJLrvZ8YCoR7EHAAAAAPhcqTkFyhs62pRjV3tKTDkuTh+bxaLzh2coL9mtt4qrVdUc0LMbPZo9OksDU5maC5wKFs8AAAAAAADdbkhGnK6akq+MeKcCwbD+sbVC60rqFI6wai5wsij2AAAAAABAj0iMsevKiXldq+Zu3F+vl94vV2t7p8nJgOhEsQcAAAAAAHrMx6vmzh6dKbvVUFmDX89u9Ki8wW92NCDqUOwBAAAAAIAeNyIrQQsm5ysl1qHWjpBeeL9Mm/bXK8LUXOC4UewBAAAAAABTpMQ6tGDyAI3IilckIq0pqdO/tlUqEAyZHQ2IChR7AAAAAADANHarRReNytTMERmyWgyVelu1bKNH1c0Bs6MBvR7FHgAAAAAAMJVhGBqTm6ivTspTYoxdLYFO/W1TmT4oa2RqLvA5KPYAAAAAAECvkBHv0lVTBmhweqxCkYhW7KrV6zuq1NEZNjsa0CtR7AEAAAAAgF7DabPqkrHZOmdomiyGtLvap7++55HX1252NKDXodgDAAAAAAC9imEYOjM/WVecmac4p00NbUE9995BHfBRYwCfxBkBAAAAAAB6pZykGF01ZYDyU9zqDEe0qd6mlDnfVXsn990DJIo9AAAAAADQi7kdNn15Qo7OKkyRFFH8+Nm6/S2vdlW1mB0NMB3FHgAAAAAA6NUshqGiQamantGpkK9BB5s7Ne+x1frzuv2smot+jWIPAAAAAABEhUxXRBV/Wqwzs53q6Azrnn/s0A1/3qz61g6zowGmoNgDAAAAAABRI9zWpB9NT9Y9Xxolh9Wit4qrNffXq7R2r9fsaECPo9gDAAA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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1280x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1280x800 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "get_unique_values(df, 'category')\n",
        "get_unique_values(df, 'customer_type')\n",
        "get_unique_values(df, 'payment_type')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8uukNESMhcna",
        "outputId": "a91cbc57-b2fb-44e5-a616-15d3abebd3a8"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Column: category has 22 unique values\n",
            "\n",
            "fruit                    998\n",
            "vegetables               846\n",
            "packaged foods           507\n",
            "baked goods              443\n",
            "canned foods             431\n",
            "refrigerated items       425\n",
            "kitchen                  382\n",
            "meat                     382\n",
            "dairy                    375\n",
            "beverages                301\n",
            "cheese                   293\n",
            "cleaning products        292\n",
            "baking                   264\n",
            "snacks                   263\n",
            "frozen                   263\n",
            "seafood                  253\n",
            "medicine                 243\n",
            "baby products            224\n",
            "condiments and sauces    181\n",
            "personal care            177\n",
            "pets                     161\n",
            "spices and herbs         125\n",
            "Name: category, dtype: int64\n",
            "Column: customer_type has 5 unique values\n",
            "\n",
            "non-member    1601\n",
            "standard      1595\n",
            "premium       1590\n",
            "basic         1526\n",
            "gold          1517\n",
            "Name: customer_type, dtype: int64\n",
            "Column: payment_type has 4 unique values\n",
            "\n",
            "cash           2027\n",
            "credit card    1949\n",
            "e-wallet       1935\n",
            "debit card     1918\n",
            "Name: payment_type, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plot_categorical_distribution(df, 'category')\n",
        "plot_categorical_distribution(df, 'customer_type')\n",
        "plot_categorical_distribution(df, 'payment_type')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "tIkHbeBBfNMm",
        "outputId": "3f134ae2-4f9f-4e75-b597-863b38164a56"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ],
            "image/png": 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AAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIogYAAAAAAFAIn6uocc0112SrrbZKy5Yt06NHjzz55JONPSUAAAAAAGA1fW6ixm233Zbhw4fnnHPOyTPPPJPddtstffr0yZw5cxp7agAAAAAAwGr43ESNyy67LCeffHJOPPHEdOvWLddee2022WST3HDDDY09NQAAAAAAYDU0a+wJbAiLFi3K9OnTM3LkyPKyJk2apHfv3pk6depKt1m4cGEWLlxYfj5v3rwkSX19/fqd7EosXfj3DX5MYN1pjPeNxvT+h0sbewrAWvi8vWct+fuSxp4CsBY+b+9ZC5Z4z4Ii+7y9Z/194QeNPQVgLTTme1bbtm1TUVGxyvWfi6jxt7/9LUuXLk3nzp0bLO/cuXP+9Kc/rXSbsWPH5txzz11heZcuXdbLHIF/XlVX/3tjTwFg9Y2tauwZAKy2qjO9ZwEFUuU9CyiOM65pvGPPmzcv7dq1W+X6z0XUWBMjR47M8OHDy8+XLVuWd999N5ttttknViL4LOrr69OlS5e88cYbn/g/VICNgfcsoEi8ZwFF4j0LKBLvWaxvbdu2/cT1n4uo0bFjxzRt2jSzZ89usHz27Nmprq5e6TaVlZWprKxssKx9+/bra4p8zrVr187/CQCF4T0LKBLvWUCReM8CisR7Fo3lc3Gj8BYtWmT33XfPAw88UF62bNmyPPDAA6mtrW3EmQEAAAAAAKvrc3GlRpIMHz48gwYNyh577JGvfOUrueKKK7JgwYKceOKJjT01AAAAAABgNXxuosZxxx2Xt99+O6NGjUpdXV26d++eCRMmrHDzcNiQKisrc84556zwVWcAGyPvWUCReM8CisR7FlAk3rNobBWlUqnU2JMAAAAAAAD4NJ+Le2oAAAAAAADFJ2oAAAAAAACFIGoAAAAAAACFIGrARmTcuHFp3779J44ZPXp0unfvvkHmA7A6evXqldNPP71w+wY+n1bn8xbAmlifn1tee+21VFRUZMaMGetl/wAbC5/VWB2iBgD8kznhhBNy1FFHNfY0ADZKxx13XF566aXGngbAZ9KlS5e89dZb2XnnnRt7KgDQ6Jo19gQAgM+3UqmUpUuXplkzH0uAf1i0aFFatGixXvbdqlWrtGrVar3sG2B9adq0aaqrqxt7GgCFtXjx4jRv3ryxp8E64koNWIfef//9DBgwIK1bt84WW2yRyy+/vMElyO+9914GDhyYTTfdNJtsskn69u2bl19++RP3+ZOf/CSdO3dO27ZtM3jw4Hz44Ycb4EyAIrjjjjuyyy67pFWrVtlss83Su3fvjBgxIjfddFPuvvvuVFRUpKKiIg8//HCS5Mwzz8yXvvSlbLLJJvniF7+Ys88+O4sXLy7vb/nX291yyy3ZaqutUlVVlf79++f9998vj1mwYEEGDhyYNm3aZIsttsill166wrxuueWW7LHHHmnbtm2qq6vzrW99K3PmzCmvf/jhh1NRUZH7778/u+++eyorK/Poo4+u1r6BYurVq1eGDRuWYcOGpaqqKh07dszZZ5+dUqmUJNlqq61y3nnnZeDAgWnXrl2GDBmSJHn00Uez7777plWrVunSpUtOO+20LFiwoLzfrbbaKueff375vaNr166555578vbbb+fII49MmzZtsuuuu+bpp58ub/PxrzRY2dVtp59+enr16tVg/qeeempOP/30bLrppuncuXOuv/76LFiwICeeeGLatm2bbbfdNvfff/+6f/GAQlmyZMkq3+s+7TPSe++9lwEDBmTzzTdPq1atst122+XGG29MsvKvn3r++edz2GGHpV27dmnbtm323XffvPLKKxv0fIF1q1evXjnttNNyxhlnpEOHDqmurs7o0aPL62fNmlX+jNOuXbsce+yxmT17dnn96vydbmXW5DNVsn4+qy131113ZbvttkvLli3Tp0+fvPHGGw3W33333fnXf/3XtGzZMl/84hdz7rnnZsmSJeX1FRUV+fnPf54jjjgirVu3zo9//OPV+m9AMYgasA4NHz48jz32WO65555MmjQpjzzySJ555pny+hNOOCFPP/107rnnnkydOjWlUimHHHJIg18qftRvfvObjB49OhdccEGefvrpbLHFFvnZz362oU4H2Ii99dZb+eY3v5mTTjopM2fOzMMPP5yjjz4655xzTo499tgcfPDBeeutt/LWW2/lq1/9apKkbdu2GTduXF544YVceeWVuf7663P55Zc32O8rr7ySu+66K/fdd1/uu+++TJ48OT/5yU/K60eMGJHJkyfn7rvvzsSJE/Pwww83eJ9L/vEvYM4777z88Y9/zF133ZXXXnstJ5xwwgrn8MMf/jA/+clPMnPmzOy6666rtW+guG666aY0a9YsTz75ZK688spcdtll+eUvf1lef8kll2S33XbLH/7wh5x99tl55ZVXcvDBB6dfv3559tlnc9ttt+XRRx/NsGHDGuz38ssvz957750//OEPOfTQQ3P88cdn4MCB+fa3v51nnnkm22yzTQYOHFj+peLazL9jx4558sknc+qpp+aUU07JMccck69+9at55plnctBBB+X444/PBx98sFbHAYrtk97rPu0z0tlnn50XXngh999/f2bOnJmf//zn6dix40qP89e//jU9e/ZMZWVlHnzwwUyfPj0nnXRSg1/oAcV00003pXXr1pk2bVouuuiijBkzJpMmTcqyZcty5JFH5t13383kyZMzadKk/OUvf8lxxx3XYPtP+zvdqnzWz1Tr87PaBx98kB//+Me5+eab89hjj2Xu3Lnp379/ef0jjzySgQMH5nvf+15eeOGF/OIXv8i4ceNWCBejR4/O17/+9Tz33HM56aSTPvN/CzZiJWCdqK+vLzVv3rx0++23l5fNnTu3tMkmm5S+973vlV566aVSktJjjz1WXv+3v/2t1KpVq9JvfvObUqlUKt14442lqqqq8vra2trSd7/73QbH6dGjR2m33XZbr+cCbPymT59eSlJ67bXXVlg3aNCg0pFHHvmp+7j44otLu+++e/n5OeecU9pkk01K9fX15WUjRowo9ejRo1QqlUrvv/9+qUWLFuX3rFKpVHrnnXdKrVq1Kn3ve99b5XGeeuqpUpLS+++/XyqVSqWHHnqolKR01113lces6b6BYthvv/1KO+64Y2nZsmXlZWeeeWZpxx13LJVKpVLXrl1LRx11VINtBg8eXBoyZEiDZY888kipSZMmpb///e/l7b797W+X17/11lulJKWzzz67vGzq1KmlJKW33nqrVCqt+HlrZe+Z3/ve90r77bdfg/nvs88+5edLliwptW7dunT88cevcOypU6euzksC/BP6tPe6j/v4Z6TDDz+8dOKJJ6507KuvvlpKUvrDH/5QKpVKpZEjR5a23nrr0qJFi9btSQCN6uOfOUqlUmnPPfcsnXnmmaWJEyeWmjZtWpo1a1Z53fPPP19KUnryySdLpdKn/51uVdbkM9X6/KyWpPTEE0+Ux8ycObOUpDRt2rRSqVQqHXjggaULLrigwbFvueWW0hZbbFF+nqR0+umnf+J5U1yu1IB15C9/+UsWL16cr3zlK+VlVVVV2X777ZMkM2fOTLNmzdKjR4/y+s022yzbb799Zs6cudJ9zpw5s8H4JKmtrV0PsweKZrfddsuBBx6YXXbZJcccc0yuv/76vPfee5+4zW233Za999471dXVadOmTc4666zMmjWrwZitttoqbdu2LT/fYostyl+L8Morr2TRokUN3pc6dOhQfp9bbvr06Tn88MOz5ZZbpm3bttlvv/2SZIVj7bHHHuU/r+6+geLaa6+9UlFRUX5eW1ubl19+OUuXLk3S8D0hSf74xz9m3LhxadOmTfnRp0+fLFu2LK+++mp53K677lr+c+fOnZMku+yyywrLPvoVL2vio8dp2rRpNttss/VyHKDYPum97tM+I51yyin59a9/ne7du+eMM87I448/vsrjzJgxI/vuu6/vh4d/Qh/9zJH8v7+TzZw5M126dEmXLl3K67p165b27ds3+L3SJ/2dbvz48Q0+Wz3yyCMrPe7qfKZan5/VmjVrlj333LP8fIcddmhwnn/84x8zZsyYBsc++eST89ZbbzW4avbjny/55+GOnABQQE2bNs2kSZPy+OOPZ+LEibn66qvzox/9KNOmTVvp+KlTp2bAgAE599xz06dPn1RVVeXXv/71Cvet+PhfjCsqKrJs2bLVnteCBQvSp0+f9OnTJ+PHj8/mm2+eWbNmpU+fPlm0aFGDsa1bt17t/QL//D7+njB//vz827/9W0477bQVxm655ZblP3/0fWv5LxJXtmxV72VNmjRZ4aupVvbVoCt7f/wsxwE+3z788MNP/YzUt2/fvP766/nd736XSZMm5cADD8zQoUNzySWXrLC/Vq1abehTADaQtf072Sdtf8QRRzT4h2Rf+MIXVrr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
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x800 with 1 Axes>"
            ],
            "image/png": 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QNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEIQNQAAAAAAgEL4UEWNK6+8Mtttt12aNm2a3r1757HHHmvoKQEAAAAAABvoQxM1brrppgwfPjznnntu/vjHP2b33XdP//79M3/+/IaeGgAAAAAAsAE+NFHjkksuySmnnJKTTjop3bt3zzXXXJPmzZvn2muvbeipAQAAAAAAG6BJQ0/gg7B06dJMnz49I0eOLK9r1KhRDj744EybNm218UuWLMmSJUvKywsXLkyS1NbWvv+T3UgrlvyroacAsME2x/fRzdWbb69o6CkAbBTv8Rtu+b+WN/QUADaY9/cNt3i593egODbn9/cWLVqkoqJirds/FFHjn//8Z1asWJH27dvXWd++ffs899xzq40fO3ZszjvvvNXWd+rU6X2bI8CHQfUVX2noKQDwfhlb3dAzAOB9UD3C+zvAf6Tqzff9feHChWnZsuVat38oosbGGjlyZIYPH15eXrlyZV5//fW0adNmnYUI/lPU1tamU6dOeeWVV9b5BgJAsXh/B/jP5P0d4D+X93g+jFq0aLHO7R+KqLH11luncePGmTdvXp318+bNS01NzWrjq6qqUlVVVWddq1at3s8pwmapZcuW/sAE+A/k/R3gP5P3d4D/XN7j4f98KG4UXllZmV69euW+++4rr1u5cmXuu+++9OnTpwFnBgAAAAAAbKgPxSc1kmT48OEZNGhQ9tprr3z84x/PZZddlsWLF+ekk05q6KkBAAAAAAAb4EMTNb74xS/m1VdfzahRozJ37tzsscceufvuu1e7eTjw70uwnXvuuatdhg2AYvP+DvCfyfs7wH8u7/GwuopSqVRq6EkAAAAAAACsz4finhoAAAAAAEDxiRoAAAAAAEAhiBoAAAAAAEAhiBrARhk/fnxatWpVXh49enT22GOPBpsPQJH169cvZ5555gaPf/d78JoU4X25oqIit912W0NPA+BDZUP+DAHgg/PSSy+loqIiM2bMSJJMnjw5FRUVWbBgQYPOa1029u8v8H4RNYAP1Lv/0AZg0/r617+e++67r7x84okn5jOf+UzDTQgAAFiv//qv/8qcOXNSXV2dRIyGdRE1AAD+g2y11VZp06ZNQ08jS5cubegpAADA+27ZsmWbZD+VlZWpqalJRUXFJtlffZVKpSxfvrxB5wDrI2pAwaxcuTJjx45Nly5d0qxZs+y+++659dZb1zi2VCqlbdu2dbbvscce6dChQ3n5D3/4Q6qqqvLWW28lSS655JL06NEjW265ZTp16pSvfvWrWbRo0UbN8Wc/+1m6deuWpk2bZpdddslVV11V3talS5ckyZ577pmKior069dvo/YNUFSLFy/OCSeckK222iodOnTIxRdfvNqYJUuW5Otf/3o++tGPZsstt0zv3r0zefLk1cbddttt2WmnndK0adP0798/r7zySnnbOy8/NXr06PziF7/I7bffnoqKilRUVKxxf8m//3y58MILs+OOO6aqqirbbrttvvvd75a3jxgxIjvvvHOaN2+e7bffPt/+9rfr/AVu1XF/9rOfpUuXLmnatGmS5Pnnn0/fvn3TtGnTdO/ePRMnTqzHqwfw4bGu9+P1vRf/+c9/zgEHHJAWLVqkZcuW6dWrV5544ok6+7/nnnvSrVu3bLXVVjn00EMzZ86cD/T8ADZ363ofXnX1iZtuuin7779/mjZtmgkTJiRZ9+9CkuSxxx7LnnvumaZNm2avvfbKn/70pzrb33n5qcmTJ+ekk07KwoULyz/Hjx49eq1z/t3vfpe99947TZs2zdZbb53//u//Lm+77rrrstdee6VFixapqanJsccem/nz56923Lvuuiu9evVKVVVV/vCHP2zQ31+goTRp6AkAG2fs2LG5/vrrc80112SnnXbK1KlTc9xxx6Vt27bZf//964ytqKhI3759M3ny5Hzuc5/LG2+8kWeffTbNmjXLc889l1122SVTpkzJ3nvvnebNmydJGjVqlMsvvzxdunTJ3/72t3z1q1/NN77xjdX+MF6bCRMmZNSoUfnRj36UPffcM3/6059yyimnZMstt8ygQYPy2GOP5eMf/3gmTZqUXXfdNZWVlZv8NQLYHJ199tmZMmVKbr/99rRr1y7nnHNO/vjHP9a5/8Vpp52WZ555JjfeeGM6duyY3/zmNzn00EPz1FNPZaeddkqSvPXWW/nud7+bX/7yl6msrMxXv/rVHH300XnooYdWO+bXv/71PPvss6mtrc24ceOSJK1bt17j/EaOHJmf/vSnufTSS7Pvvvtmzpw5ee6558rbW7RokfHjx6djx4556qmncsopp6RFixb5xje+UR7zwgsv5H/+53/y61//Oo0bN87KlSvz2c9+Nu3bt8+jjz6ahQsXugYvwHqs6/14fe/FAwcOzJ577pmrr746jRs3zowZM7LFFluU9/3WW2/lBz/4Qa677ro0atQoxx13XL7+9a+XfyEHwPp/Lk6S//f//l8uvvjicqRY3+9CFi1alE996lP55Cc/meuvvz6zZs3K1772tbXO4b/+679y2WWXZdSoUZk5c2aSf38ie03uvPPO/Pd//3e++c1v5pe//GWWLl2a3//+9+Xty5Yty/nnn5+uXbtm/vz5GT58eE488cQ6Y1ad0w9+8INsv/32+chHPrJBf3+BBlMCCuPtt98uNW/evPTwww/XWT948ODSMcccs8bnXH755aVdd921VCqVSrfddlupd+/epU9/+tOlq6++ulQqlUoHH3xw6ZxzzlnrMW+55ZZSmzZtysvjxo0rVVdXl5fPPffc0u67715e3mGHHUo33HBDnX2cf/75pT59+pRKpVJp1qxZpSSlP/3pT+s9X4D/FG+++WapsrKydPPNN5fXvfbaa6VmzZqVvva1r5VKpVLp5ZdfLjVu3Lj097//vc5zDzrooNLIkSNLpdK/34OTlB555JHy9meffbaUpPToo4+WSqXV35cHDRpU+vSnP73O+dXW1paqqqpKP/3pTzf4nC666KJSr169ysvnnntuaYsttijNnz+/vO6ee+4pNWnSpM453XXXXaUkpd/85jcbfCyAD4uNfT9+93txixYtSuPHj1/j2FV/hrzwwgvldVdeeWWpffv2723SAP9B1vc+vOp3Gpdddlmd9ev7XciPf/zjUps2bUr/+te/ytuvvvrqOr8feeCBB0pJSm+88UapVFr99y9r06dPn9LAgQM38AxLpccff7yUpPTmm2/WOe5tt91WHrMhf3+BhuSTGlAgL7zwQt5666188pOfrLN+6dKl2XPPPbPrrrvm5ZdfTpLst99+ueuuu7L//vvna1/7Wl599dVMmTIl/fr1S01NTSZPnpzBgwfn4YcfrvOvbCdNmpSxY8fmueeeS21tbZYvX5633347b731VvnTHGuzePHivPjiixk8eHBOOeWU8vrly5eXb3QF8GH04osvZunSpendu3d5XevWrdO1a9fy8lNPPZUVK1Zk5513rvPcJUuW1LlHRpMmTbL33nuXl3fZZZe0atUqzz77bD7+8Y/Xa37PPvtslixZkoMOOmitY2666aZcfvnlefHFF7No0aIsX748LVu2rDOmc+fOadu2bZ39durUKR07diyv69OnT73mCPBhsL734/W9Fw8fPjwnn3xyrrvuuhx88MH5/Oc/nx122KG8vXnz5nWWO3ToUOcSJAAfdhvyc3GS7LXXXuWvN+R3Ic8++2x69uxZvkRrsul+Lp4xY0ad477b9OnTM3r06Pz5z3/OG2+8kZUrVyZJZs+ene7du6/xnDbk7y/QkEQNKJBV97a4884789GPfrTOtqqqqqxcubJ8Td1mzZolSXr06JHWrVtnypQpmTJlSr773e+mpqYm3//+9/P4449n2bJl+a//+q8k/7425Kc+9amceuqp+e53v5vWrVvnD3/4QwYPHpylS5euN2qsmt9Pf/rTOn/wJUnjxo3f+wsA8B9s0aJFady4caZPn77ae+baPmq+qaz6M2Ntpk2bloEDB+a8885L//79U11dnRtvvHG16+puueWW7+c0Af7jrev9eEPei0ePHp1jjz02d955Z+66666ce+65ufHGG8vXVn/npaiSf1+utlQqvT8nA1BA6/u5eJV3/tzb0L8LWdecFy9enP79+6d///6ZMGFC2rZtm9mzZ6d///5ZunRpnbF+lqdIRA0okO7du6eqqiqzZ89e7f4Za1NRUZH99tsvt99+e55++unsu+++ad68eZYsWZIf//jH2Wuvvcp/cE2fPj0rV67MxRdfnEaNGiVJbr755g2eX/v27dOxY8f87W9/y8CBA9c4ZtU9NFasWLHB+wUouh122CFbbLFFHn300Wy77bZJkjfeeCN//etfy+/ne+65Z1asWJH58+dnv/32W+u+li9fnieeeKL8qYyZM2dmwYIF6dat2xrHV1ZWrvc9d6eddkqzZs1y33335eSTT15t+8MPP5zOnTvnm9/8Znndqk8Grku3bt3yyiuvZM6cOenQoUOS5JFHHln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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.countplot(df, y='category').set(title=f'Distribution of Category')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "M-_4rKGtiXPv",
        "outputId": "d148d461-66c1-4e98-bd84-f709d6346ce7"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0.5, 1.0, 'Distribution of Category')]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "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": [
        "sns.countplot(df, y='category').set(title=f'Distribution of Category')"
      ],
      "metadata": {
        "id": "AhFtML2VfU4J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(df.corr())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 507
        },
        "id": "b2gK-dJ-fWjf",
        "outputId": "7d47326d-dcf0-4533-92d5-64bce98ddd0e"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-24-aa4f4450a243>:1: FutureWarning: 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",
            "  sns.heatmap(df.corr())\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}