Data Analysis Ess-5.ipynb

{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"gy6XsYfTznLV"},"outputs":[],"source":["#Going to learn Matploitlb\n","##Addig more later"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9Pd3RQYF0TtD"},"outputs":[],"source":["### ### **Basics of Plotting with Matplotlib:**\n","\n","## `Matplotlib` is a widely-used Python library for creating static, interactive, and animated visualizations.\n","##It provides an object-oriented API for embedding plots into applications."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"mukRYhA30-eh"},"outputs":[],"source":["### **Final Note:**\n","\n","## Matplotlib is very flexible and offers a wide range of functionalities for different types of plots and customizations.\n","## For more complex visualizations, it's often combined with other libraries like `seaborn`,\n","#which is based on Matplotlib and provides a higher-level interface for drawing attractive and informative statistical graphics."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"pBt1cg2e1kln"},"outputs":[],"source":["import pandas as pd"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"d14N8PDt1mze"},"outputs":[],"source":["df_web = pd.read_csv('/content/MOCK_DATA.csv')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":444},"executionInfo":{"elapsed":535,"status":"ok","timestamp":1701525810787,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"RABcuLJH10cu","outputId":"a2567d06-f896-44c0-ec44-61ec8e21cbac"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-c95c951b-5000-4e93-bbf0-02a9e2f343aa\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","   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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","\n","\n","<div id=\"df-379f2ac3-87ce-4b8c-8d3a-6cb26afee7cd\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-379f2ac3-87ce-4b8c-8d3a-6cb26afee7cd')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-379f2ac3-87ce-4b8c-8d3a-6cb26afee7cd button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Event_count  \n","15               51                       26           86  \n","46               89                       60           66  \n","133              88                       34           96  \n","152              72                       48           73  \n","439              37                       12           87  \n","573              36                       47           88  \n","577              89                       36           88  \n","592               1                       69           13  \n","718             100                       82           49  \n","855               1                       65           48  "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df_web.nlargest(10,'Views')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1701525915806,"user":{"displayName":"Alataf 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<td>http://redcross.org/consectetuer/eget/rutrum/a...</td>\n","      <td>61</td>\n","      <td>100</td>\n","      <td>15</td>\n","      <td>52</td>\n","      <td>93</td>\n","    </tr>\n","    <tr>\n","      <th>307</th>\n","      <td>https://fda.gov/mauris/morbi/non/lectus/aliqua...</td>\n","      <td>40</td>\n","      <td>100</td>\n","      <td>38</td>\n","      <td>97</td>\n","      <td>97</td>\n","    </tr>\n","    <tr>\n","      <th>330</th>\n","      <td>https://state.gov/felis/eu/sapien/cursus/vesti...</td>\n","      <td>42</td>\n","      <td>100</td>\n","      <td>11</td>\n","      <td>68</td>\n","      <td>26</td>\n","    </tr>\n","    <tr>\n","      <th>352</th>\n","      <td>http://oaic.gov.au/sit/amet/nulla/quisque/arcu...</td>\n","      <td>62</td>\n","      <td>100</td>\n","      <td>39</td>\n","      <td>12</td>\n","      <td>75</td>\n","    </tr>\n","    <tr>\n","      <th>370</th>\n","      <td>http://geocities.com/luctus.xml?ipsum=etiam&amp;pr...</td>\n","      <td>12</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>78</td>\n","    </tr>\n","    <tr>\n","      <th>390</th>\n","      <td>https://businessweek.com/sem/fusce/consequat/n...</td>\n","      <td>75</td>\n","      <td>100</td>\n","      <td>67</td>\n","      <td>64</td>\n","      <td>63</td>\n","    </tr>\n","    <tr>\n","      <th>597</th>\n","      <td>https://chicagotribune.com/luctus/rutrum/nulla...</td>\n","      <td>25</td>\n","      <td>100</td>\n","      <td>50</td>\n","      <td>95</td>\n","      <td>59</td>\n","    </tr>\n","    <tr>\n","      <th>614</th>\n","      <td>http://nps.gov/augue/vestibulum/rutrum.aspx?ul...</td>\n","      <td>19</td>\n","      <td>100</td>\n","      <td>53</td>\n","      <td>67</td>\n","      <td>66</td>\n","    </tr>\n","    <tr>\n","      <th>679</th>\n","      <td>http://sfgate.com/magna.aspx?odio=penatibus&amp;el...</td>\n","      <td>73</td>\n","      <td>100</td>\n","      <td>65</td>\n","      <td>86</td>\n","      <td>64</td>\n","    </tr>\n","    <tr>\n","      <th>770</th>\n","      <td>https://discovery.com/neque/vestibulum.jpg?pro...</td>\n","      <td>99</td>\n","      <td>100</td>\n","      <td>29</td>\n","      <td>68</td>\n","      <td>41</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6e830bd9-b4e7-4503-98bc-59c872360fd4')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  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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","\n","\n","<div id=\"df-52888de1-fcf3-4876-b066-bb11862451f6\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-52888de1-fcf3-4876-b066-bb11862451f6')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-52888de1-fcf3-4876-b066-bb11862451f6 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Event_count  \n","297              15                       52           93  \n","307              38                       97           97  \n","330              11                       68           26  \n","352              39                       12           75  \n","370               3                        2           78  \n","390              67                       64           63  \n","597              50                       95           59  \n","614              53                       67           66  \n","679              65                       86           64  \n","770              29                       68           41  "]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["df_web.nlargest(10,'USers')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1701525927965,"user":{"displayName":"Alataf 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<td>https://simplemachines.org/curabitur/gravida.x...</td>\n","      <td>93</td>\n","      <td>4</td>\n","      <td>100</td>\n","      <td>8</td>\n","      <td>70</td>\n","    </tr>\n","    <tr>\n","      <th>49</th>\n","      <td>http://mapquest.com/gravida/nisi/at/nibh/in/ha...</td>\n","      <td>92</td>\n","      <td>32</td>\n","      <td>100</td>\n","      <td>96</td>\n","      <td>28</td>\n","    </tr>\n","    <tr>\n","      <th>87</th>\n","      <td>http://ifeng.com/velit/donec/diam.jpg?integer=...</td>\n","      <td>52</td>\n","      <td>86</td>\n","      <td>100</td>\n","      <td>54</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>119</th>\n","      <td>https://rakuten.co.jp/a/ipsum/integer/a/nibh/i...</td>\n","      <td>19</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>69</td>\n","      <td>61</td>\n","    </tr>\n","    <tr>\n","      <th>311</th>\n","      <td>https://ycombinator.com/sapien/a/libero/nam.js...</td>\n","      <td>67</td>\n","      <td>98</td>\n","      <td>100</td>\n","      <td>55</td>\n","      <td>58</td>\n","    </tr>\n","    <tr>\n","      <th>407</th>\n","      <td>https://imgur.com/pede/justo/eu/massa/donec.js...</td>\n","      <td>96</td>\n","      <td>11</td>\n","      <td>100</td>\n","      <td>92</td>\n","      <td>67</td>\n","    </tr>\n","    <tr>\n","      <th>517</th>\n","      <td>https://webeden.co.uk/elit/ac/nulla/sed.js?vol...</td>\n","      <td>39</td>\n","      <td>62</td>\n","      <td>100</td>\n","      <td>27</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>580</th>\n","      <td>https://vimeo.com/leo.jsp?tincidunt=nulla&amp;null...</td>\n","      <td>90</td>\n","      <td>15</td>\n","      <td>100</td>\n","      <td>90</td>\n","      <td>25</td>\n","    </tr>\n","    <tr>\n","      <th>685</th>\n","      <td>https://usa.gov/mus/vivamus.jsp?ligula=vestibu...</td>\n","      <td>17</td>\n","      <td>6</td>\n","      <td>100</td>\n","      <td>46</td>\n","      <td>96</td>\n","    </tr>\n","    <tr>\n","      <th>705</th>\n","      <td>https://godaddy.com/ipsum/dolor/sit/amet/conse...</td>\n","      <td>51</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>14</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d4061c01-74a2-4222-b205-d7c2e62d34f3')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  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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","\n","\n","<div id=\"df-57ebae00-37b4-4b8f-9662-e29b4f188878\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-57ebae00-37b4-4b8f-9662-e29b4f188878')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-57ebae00-37b4-4b8f-9662-e29b4f188878 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Event_count  \n","8               100                        8           70  \n","49              100                       96           28  \n","87              100                       54           34  \n","119             100                       69           61  \n","311             100                       55           58  \n","407             100                       92           67  \n","517             100                       27           71  \n","580             100                       90           25  \n","685             100                       46           96  \n","705             100                        3           14  "]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["df_web.nlargest(10,'Views_per_user')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"executionInfo":{"elapsed":736,"status":"ok","timestamp":1701525938001,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"YGvFYc6_2VIu","outputId":"b5ce0617-54db-47a0-8235-7ca1e893e507"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-4aa24953-0312-42ac-a84a-b65b379dbc03\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>page_path</th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>87</th>\n","      <td>http://ifeng.com/velit/donec/diam.jpg?integer=...</td>\n","      <td>52</td>\n","      <td>86</td>\n","      <td>100</td>\n","      <td>54</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>119</th>\n","      <td>https://rakuten.co.jp/a/ipsum/integer/a/nibh/i...</td>\n","      <td>19</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>69</td>\n","      <td>61</td>\n","    </tr>\n","    <tr>\n","      <th>311</th>\n","      <td>https://ycombinator.com/sapien/a/libero/nam.js...</td>\n","      <td>67</td>\n","      <td>98</td>\n","      <td>100</td>\n","      <td>55</td>\n","      <td>58</td>\n","    </tr>\n","    <tr>\n","      <th>517</th>\n","      <td>https://webeden.co.uk/elit/ac/nulla/sed.js?vol...</td>\n","      <td>39</td>\n","      <td>62</td>\n","      <td>100</td>\n","      <td>27</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>705</th>\n","      <td>https://godaddy.com/ipsum/dolor/sit/amet/conse...</td>\n","      <td>51</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>14</td>\n","    </tr>\n","    <tr>\n","      <th>718</th>\n","      <td>http://bloglines.com/nulla/dapibus/dolor/vel/e...</td>\n","      <td>100</td>\n","      <td>58</td>\n","      <td>100</td>\n","      <td>82</td>\n","      <td>49</td>\n","    </tr>\n","    <tr>\n","      <th>719</th>\n","      <td>http://theatlantic.com/tempor/turpis/nec.json?...</td>\n","      <td>48</td>\n","      <td>75</td>\n","      <td>100</td>\n","      <td>85</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>768</th>\n","      <td>https://google.cn/rhoncus/aliquam/lacus/morbi/...</td>\n","      <td>65</td>\n","      <td>54</td>\n","      <td>100</td>\n","      <td>67</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>955</th>\n","      <td>http://yahoo.co.jp/odio/odio/elementum/eu.html...</td>\n","      <td>43</td>\n","      <td>98</td>\n","      <td>100</td>\n","      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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","\n","\n","<div id=\"df-4402ca64-1e58-479b-8d02-52bfa2e72901\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4402ca64-1e58-479b-8d02-52bfa2e72901')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-4402ca64-1e58-479b-8d02-52bfa2e72901 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["                                             page_path  Views  USers  \\\n","87   http://ifeng.com/velit/donec/diam.jpg?integer=...     52     86   \n","119  https://rakuten.co.jp/a/ipsum/integer/a/nibh/i...     19     60   \n","311  https://ycombinator.com/sapien/a/libero/nam.js...     67     98   \n","517  https://webeden.co.uk/elit/ac/nulla/sed.js?vol...     39     62   \n","705  https://godaddy.com/ipsum/dolor/sit/amet/conse...     51     60   \n","718  http://bloglines.com/nulla/dapibus/dolor/vel/e...    100     58   \n","719  http://theatlantic.com/tempor/turpis/nec.json?...     48     75   \n","768  https://google.cn/rhoncus/aliquam/lacus/morbi/...     65     54   \n","955  http://yahoo.co.jp/odio/odio/elementum/eu.html...     43     98   \n","114  http://springer.com/praesent/blandit/nam/nulla...     97     61   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","87              100                       54           34  \n","119             100                       69           61  \n","311             100                       55           58  \n","517             100                       27           71  \n","705             100                        3           14  \n","718             100                       82           49  \n","719             100                       85           22  \n","768             100                       67           40  \n","955             100                       87           75  \n","114              99                       41           81  "]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["df_web[df_web['USers']>50].nlargest(10,'Views_per_user')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1701525947086,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"oLhp48z22V0V","outputId":"b51011bb-c8f1-4647-9b19-0b9876192ea7"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-181dde4a-73d6-48a2-8602-ae570dfaf668\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: 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<td>https://webeden.co.uk/elit/ac/nulla/sed.js?vol...</td>\n","      <td>39</td>\n","      <td>62</td>\n","      <td>100</td>\n","      <td>27</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>705</th>\n","      <td>https://godaddy.com/ipsum/dolor/sit/amet/conse...</td>\n","      <td>51</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>14</td>\n","    </tr>\n","    <tr>\n","      <th>718</th>\n","      <td>http://bloglines.com/nulla/dapibus/dolor/vel/e...</td>\n","      <td>100</td>\n","      <td>58</td>\n","      <td>100</td>\n","      <td>82</td>\n","      <td>49</td>\n","    </tr>\n","    <tr>\n","      <th>719</th>\n","      <td>http://theatlantic.com/tempor/turpis/nec.json?...</td>\n","      <td>48</td>\n","      <td>75</td>\n","      <td>100</td>\n","      <td>85</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>768</th>\n","      <td>https://google.cn/rhoncus/aliquam/lacus/morbi/...</td>\n","      <td>65</td>\n","      <td>54</td>\n","      <td>100</td>\n","      <td>67</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>955</th>\n","      <td>http://yahoo.co.jp/odio/odio/elementum/eu.html...</td>\n","      <td>43</td>\n","      <td>98</td>\n","      <td>100</td>\n","      <td>87</td>\n","      <td>75</td>\n","    </tr>\n","    <tr>\n","      <th>114</th>\n","      <td>http://springer.com/praesent/blandit/nam/nulla...</td>\n","      <td>97</td>\n","      <td>61</td>\n","      <td>99</td>\n","      <td>41</td>\n","      <td>81</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-181dde4a-73d6-48a2-8602-ae570dfaf668')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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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","\n","\n","<div id=\"df-2d0a10ba-a2e7-496f-8e53-9ea09da0330a\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2d0a10ba-a2e7-496f-8e53-9ea09da0330a')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-2d0a10ba-a2e7-496f-8e53-9ea09da0330a button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Event_count  \n","87              100                       54           34  \n","119             100                       69           61  \n","311             100                       55           58  \n","517             100                       27           71  \n","705             100                        3           14  \n","718             100                       82           49  \n","719             100                       85           22  \n","768             100                       67           40  \n","955             100                       87           75  \n","114              99                       41           81  "]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["df_web[df_web['USers']>50].nlargest(10,'Views_per_user')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":383},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1701525958739,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"o8VP169s2YWK","outputId":"0463547a-8fdc-4a3a-d822-529f0da7be0b"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-5bacc51c-37e1-4046-b61e-7c89c892ecb9\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>page_path</th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>87</th>\n","      <td>http://ifeng.com/velit/donec/diam.jpg?integer=...</td>\n","      <td>52</td>\n","      <td>86</td>\n","      <td>100</td>\n","      <td>54</td>\n","      <td>34</td>\n","    </tr>\n","    <tr>\n","      <th>119</th>\n","      <td>https://rakuten.co.jp/a/ipsum/integer/a/nibh/i...</td>\n","      <td>19</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>69</td>\n","      <td>61</td>\n","    </tr>\n","    <tr>\n","      <th>311</th>\n","      <td>https://ycombinator.com/sapien/a/libero/nam.js...</td>\n","      <td>67</td>\n","      <td>98</td>\n","      <td>100</td>\n","      <td>55</td>\n","      <td>58</td>\n","    </tr>\n","    <tr>\n","      <th>517</th>\n","      <td>https://webeden.co.uk/elit/ac/nulla/sed.js?vol...</td>\n","      <td>39</td>\n","      <td>62</td>\n","      <td>100</td>\n","      <td>27</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>705</th>\n","      <td>https://godaddy.com/ipsum/dolor/sit/amet/conse...</td>\n","      <td>51</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>14</td>\n","    </tr>\n","    <tr>\n","      <th>718</th>\n","      <td>http://bloglines.com/nulla/dapibus/dolor/vel/e...</td>\n","      <td>100</td>\n","      <td>58</td>\n","      <td>100</td>\n","      <td>82</td>\n","      <td>49</td>\n","    </tr>\n","    <tr>\n","      <th>719</th>\n","      <td>http://theatlantic.com/tempor/turpis/nec.json?...</td>\n","      <td>48</td>\n","      <td>75</td>\n","      <td>100</td>\n","      <td>85</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>768</th>\n","      <td>https://google.cn/rhoncus/aliquam/lacus/morbi/...</td>\n","      <td>65</td>\n","      <td>54</td>\n","      <td>100</td>\n","      <td>67</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>955</th>\n","      <td>http://yahoo.co.jp/odio/odio/elementum/eu.html...</td>\n","      <td>43</td>\n","      <td>98</td>\n","      <td>100</td>\n","      <td>87</td>\n","      <td>75</td>\n","    </tr>\n","    <tr>\n","      <th>114</th>\n","      <td>http://springer.com/praesent/blandit/nam/nulla...</td>\n","      <td>97</td>\n","      <td>61</td>\n","      <td>99</td>\n","      <td>41</td>\n","      <td>81</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5bacc51c-37e1-4046-b61e-7c89c892ecb9')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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Event_count  \n","87              100                       54           34  \n","119             100                       69           61  \n","311             100                       55           58  \n","517             100                       27           71  \n","705             100                        3           14  \n","718             100                       82           49  \n","719             100                       85           22  \n","768             100                       67           40  \n","955             100                       87           75  \n","114              99                       41           81  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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","\n","\n","<div id=\"df-23cccb9e-d2f4-4ccd-a4ec-b383dd20a5c0\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-23cccb9e-d2f4-4ccd-a4ec-b383dd20a5c0')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-23cccb9e-d2f4-4ccd-a4ec-b383dd20a5c0 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["                                             page_path  Views  USers  \\\n","16   https://intel.com/parturient/montes.png?orci=p...     97     73   \n","418  http://ehow.com/tellus/semper/interdum/mauris/...     16     95   \n","428  https://ucoz.com/augue/vel/accumsan.js?sed=qua...     37     88   \n","128  http://amazon.de/in/hac/habitasse/platea.jpg?s...     47     96   \n","234  http://yale.edu/quisque/erat/eros/viverra/eget...     75     61   \n","316  https://people.com.cn/nisi/venenatis.xml?phase...     47     81   \n","555  http://spotify.com/ultrices.jsp?morbi=est&a=co...     92     82   \n","811  http://github.io/quis/turpis/eget/elit/sodales...     79     82   \n","963  https://icio.us/donec/diam/neque/vestibulum/eg...     12     86   \n","165  https://multiply.com/porta/volutpat/erat/quisq...     87     90   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","16               71                      100           87  \n","418              19                      100           28  \n","428              31                      100           93  \n","128              32                       99           92  \n","234              48                       99           66  \n","316              95                       99           29  \n","555              20                       99           77  \n","811              18                       99           33  \n","963              54                       99           47  \n","165              50                       98           23  "]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["df_web[df_web['USers']>50].nlargest(10,'Average_engagement_time')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701525980534,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"PRBDMGra2fmn","outputId":"55a9d239-f9db-4c9c-bf44-46ade02a756e"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-785c8a08-17bf-46d5-b83b-54a978474ef0\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>page_path</th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>60</th>\n","      <td>http://sciencedirect.com/mauris/laoreet.xml?id...</td>\n","      <td>5</td>\n","      <td>26</td>\n","      <td>49</td>\n","      <td>71</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>101</th>\n","      <td>https://cbslocal.com/lectus/in/est/risus.aspx?...</td>\n","      <td>92</td>\n","      <td>37</td>\n","      <td>91</td>\n","      <td>64</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>247</th>\n","      <td>https://facebook.com/dictumst/etiam/faucibus/c...</td>\n","      <td>65</td>\n","      <td>79</td>\n","      <td>52</td>\n","      <td>79</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>325</th>\n","      <td>https://shutterfly.com/hac/habitasse/platea/di...</td>\n","      <td>62</td>\n","      <td>71</td>\n","      <td>11</td>\n","      <td>64</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>364</th>\n","      <td>https://myspace.com/sit.js?eu=at&amp;tincidunt=nun...</td>\n","      <td>3</td>\n","      <td>95</td>\n","      <td>91</td>\n","      <td>42</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>384</th>\n","      <td>https://indiegogo.com/accumsan/felis/ut/at/dol...</td>\n","      <td>17</td>\n","      <td>87</td>\n","      <td>82</td>\n","      <td>92</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>422</th>\n","      <td>https://msn.com/venenatis/lacinia/aenean/sit/a...</td>\n","      <td>36</td>\n","      <td>87</td>\n","      <td>17</td>\n","      <td>69</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>445</th>\n","      <td>http://i2i.jp/molestie/nibh/in/lectus/pellente...</td>\n","      <td>17</td>\n","      <td>43</td>\n","      <td>17</td>\n","      <td>83</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>465</th>\n","      <td>https://last.fm/nulla/nisl/nunc/nisl/duis/bibe...</td>\n","      <td>74</td>\n","      <td>99</td>\n","      <td>29</td>\n","      <td>69</td>\n","      <td>100</td>\n","    </tr>\n","    <tr>\n","      <th>487</th>\n","      <td>http://amazon.de/dui/vel/sem/sed/sagittis/nam/...</td>\n","      <td>91</td>\n","      <td>85</td>\n","      <td>40</td>\n","      <td>98</td>\n","      <td>100</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-785c8a08-17bf-46d5-b83b-54a978474ef0')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            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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","\n","\n","<div id=\"df-c2de8d3a-3c3c-4a97-a1bd-7b81753191b1\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c2de8d3a-3c3c-4a97-a1bd-7b81753191b1')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-c2de8d3a-3c3c-4a97-a1bd-7b81753191b1 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Event_count  \n","60               49                       71          100  \n","101              91                       64          100  \n","247              52                       79          100  \n","325              11                       64          100  \n","364              91                       42          100  \n","384              82                       92          100  \n","422              17                       69          100  \n","445              17                       83          100  \n","465              29                       69          100  \n","487              40                       98          100  "]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["df_web.nlargest(10,'Event_count')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":444},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1701525990381,"user":{"displayName":"Alataf 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<td>http://de.vu/id/justo/sit.js?vivamus=vel&amp;torto...</td>\n","      <td>3</td>\n","      <td>58</td>\n","      <td>65</td>\n","      <td>19</td>\n","      <td>88</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>http://narod.ru/nisi/venenatis/tristique/fusce...</td>\n","      <td>7</td>\n","      <td>87</td>\n","      <td>36</td>\n","      <td>50</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>https://mtv.com/congue/vivamus/metus/arcu.png?...</td>\n","      <td>64</td>\n","      <td>82</td>\n","      <td>47</td>\n","      <td>86</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>https://phpbb.com/elementum/in/hac/habitasse/p...</td>\n","      <td>96</td>\n","      <td>50</td>\n","      <td>14</td>\n","      <td>72</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>http://icio.us/pulvinar/sed/nisl.html?tortor=m...</td>\n","      <td>8</td>\n","      <td>66</td>\n","      <td>4</td>\n","      <td>43</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>994</th>\n","      <td>http://tinypic.com/aliquam.json?varius=sceleri...</td>\n","      <td>77</td>\n","      <td>76</td>\n","      <td>7</td>\n","      <td>18</td>\n","      <td>45</td>\n","    </tr>\n","    <tr>\n","      <th>995</th>\n","      <td>http://newsvine.com/nullam/molestie/nibh/in.pn...</td>\n","      <td>37</td>\n","      <td>10</td>\n","      <td>20</td>\n","      <td>80</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>996</th>\n","      <td>http://123-reg.co.uk/mi/in/porttitor/pede/just...</td>\n","      <td>61</td>\n","      <td>98</td>\n","      <td>54</td>\n","      <td>52</td>\n","      <td>79</td>\n","    </tr>\n","    <tr>\n","      <th>997</th>\n","      <td>https://marriott.com/gravida/nisi/at/nibh/in.j...</td>\n","      <td>74</td>\n","      <td>76</td>\n","      <td>31</td>\n","      <td>80</td>\n","      <td>69</td>\n","    </tr>\n","    <tr>\n","      <th>999</th>\n","      <td>http://opera.com/vivamus/metus/arcu/adipiscing...</td>\n","      <td>20</td>\n","      <td>8</td>\n","      <td>90</td>\n","      <td>68</td>\n","      <td>30</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>908 rows × 6 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e5f28065-0363-4641-bf31-eafd1780b74c')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 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 20      8   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","0                65                       19           88  \n","1                36                       50            6  \n","3                47                       86           32  \n","4                14                       72           71  \n","5                 4                       43           22  \n","..              ...                      ...          ...  \n","994               7                       18           45  \n","995              20                       80            4  \n","996              54                       52           79  \n","997              31                       80           69  \n","999              90                       68           30  \n","\n","[908 rows x 6 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["df_web[df_web['Average_engagement_time']>10]"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"P9hBW1NT2iqu"},"outputs":[],"source":["df_page_avg_time = df_web[df_web['Average_engagement_time']>10]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":444},"executionInfo":{"elapsed":836,"status":"ok","timestamp":1701526017446,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"Q92iQXXz2k8n","outputId":"2c1995ad-5866-4642-e607-21c3e1d880e0"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-cb2a0ccf-5d2b-4524-8658-48c69a90f24f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    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<td>64</td>\n","      <td>82</td>\n","      <td>47</td>\n","      <td>86</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>https://phpbb.com/elementum/in/hac/habitasse/p...</td>\n","      <td>96</td>\n","      <td>50</td>\n","      <td>14</td>\n","      <td>72</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>http://icio.us/pulvinar/sed/nisl.html?tortor=m...</td>\n","      <td>8</td>\n","      <td>66</td>\n","      <td>4</td>\n","      <td>43</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>994</th>\n","      <td>http://tinypic.com/aliquam.json?varius=sceleri...</td>\n","      <td>77</td>\n","      <td>76</td>\n","      <td>7</td>\n","      <td>18</td>\n","      <td>45</td>\n","    </tr>\n","    <tr>\n","      <th>995</th>\n","      <td>http://newsvine.com/nullam/molestie/nibh/in.pn...</td>\n","      <td>37</td>\n","      <td>10</td>\n","      <td>20</td>\n","      <td>80</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>996</th>\n","      <td>http://123-reg.co.uk/mi/in/porttitor/pede/just...</td>\n","      <td>61</td>\n","      <td>98</td>\n","      <td>54</td>\n","      <td>52</td>\n","      <td>79</td>\n","    </tr>\n","    <tr>\n","      <th>997</th>\n","      <td>https://marriott.com/gravida/nisi/at/nibh/in.j...</td>\n","      <td>74</td>\n","      <td>76</td>\n","      <td>31</td>\n","      <td>80</td>\n","      <td>69</td>\n","    </tr>\n","    <tr>\n","      <th>999</th>\n","      <td>http://opera.com/vivamus/metus/arcu/adipiscing...</td>\n","      <td>20</td>\n","      <td>8</td>\n","      <td>90</td>\n","      <td>68</td>\n","      <td>30</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>908 rows × 6 columns</p>\n","</div>\n","    <div 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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","\n","\n","<div id=\"df-af5d0180-682a-43c3-9f9c-c7820ee4dd3c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-af5d0180-682a-43c3-9f9c-c7820ee4dd3c')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-af5d0180-682a-43c3-9f9c-c7820ee4dd3c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["                                             page_path  Views  USers  \\\n","0    http://de.vu/id/justo/sit.js?vivamus=vel&torto...      3     58   \n","1    http://narod.ru/nisi/venenatis/tristique/fusce...      7     87   \n","3    https://mtv.com/congue/vivamus/metus/arcu.png?...     64     82   \n","4    https://phpbb.com/elementum/in/hac/habitasse/p...     96     50   \n","5    http://icio.us/pulvinar/sed/nisl.html?tortor=m...      8     66   \n","..                                                 ...    ...    ...   \n","994  http://tinypic.com/aliquam.json?varius=sceleri...     77     76   \n","995  http://newsvine.com/nullam/molestie/nibh/in.pn...     37     10   \n","996  http://123-reg.co.uk/mi/in/porttitor/pede/just...     61     98   \n","997  https://marriott.com/gravida/nisi/at/nibh/in.j...     74     76   \n","999  http://opera.com/vivamus/metus/arcu/adipiscing...     20      8   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","0                65                       19           88  \n","1                36                       50            6  \n","3                47                       86           32  \n","4                14                       72           71  \n","5                 4                       43           22  \n","..              ...                      ...          ...  \n","994               7                       18           45  \n","995              20                       80            4  \n","996              54                       52           79  \n","997              31                       80           69  \n","999              90                       68           30  \n","\n","[908 rows x 6 columns]"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701526024590,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"hdhBlV332oOI","outputId":"3bc889fb-c67a-4252-8706-e655df925d85"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-d99bb251-ef7b-4a6c-865b-38d4c7ed87b1\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>908.000000</td>\n","      <td>908.000000</td>\n","      <td>908.000000</td>\n","      <td>908.000000</td>\n","      <td>908.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>50.884361</td>\n","      <td>50.291850</td>\n","      <td>49.156388</td>\n","      <td>56.356828</td>\n","      <td>53.312775</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>29.304899</td>\n","      <td>28.812393</td>\n","      <td>28.399143</td>\n","      <td>25.546775</td>\n","      <td>28.269439</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>11.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>25.000000</td>\n","      <td>26.000000</td>\n","      <td>23.000000</td>\n","      <td>34.000000</td>\n","      <td>30.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>51.000000</td>\n","      <td>50.000000</td>\n","      <td>50.000000</td>\n","      <td>58.000000</td>\n","      <td>54.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>77.000000</td>\n","      <td>75.000000</td>\n","      <td>73.000000</td>\n","      <td>77.000000</td>\n","      <td>77.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" 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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","\n","\n","<div id=\"df-bf5662ad-f157-411a-aa26-cb2676d61944\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bf5662ad-f157-411a-aa26-cb2676d61944')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-bf5662ad-f157-411a-aa26-cb2676d61944 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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77.000000  \n","max     100.000000  "]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time.describe()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NqBFDLz72rJT"},"outputs":[],"source":["df_page_avg_time_less_4 = df_web[df_web['Average_engagement_time']<4]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":839},"executionInfo":{"elapsed":480,"status":"ok","timestamp":1701526040897,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"7aCbMBRG2tXw","outputId":"4d6c7bc8-00cc-44bf-f951-77c4d6e31ac0"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-1641e80b-6c50-44e0-96c6-fa5b841dc90b\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    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<td>http://t.co/duis/consequat.jsp?a=et&amp;libero=ult...</td>\n","      <td>34</td>\n","      <td>3</td>\n","      <td>87</td>\n","      <td>1</td>\n","      <td>51</td>\n","    </tr>\n","    <tr>\n","      <th>280</th>\n","      <td>https://gizmodo.com/lobortis/convallis/tortor/...</td>\n","      <td>43</td>\n","      <td>25</td>\n","      <td>11</td>\n","      <td>1</td>\n","      <td>97</td>\n","    </tr>\n","    <tr>\n","      <th>329</th>\n","      <td>http://vinaora.com/aliquam/augue/quam/sollicit...</td>\n","      <td>12</td>\n","      <td>46</td>\n","      <td>61</td>\n","      <td>1</td>\n","      <td>54</td>\n","    </tr>\n","    <tr>\n","      <th>353</th>\n","      <td>http://guardian.co.uk/lacus/purus/aliquet/at.p...</td>\n","      <td>16</td>\n","      <td>49</td>\n","      <td>50</td>\n","      <td>1</td>\n","      <td>72</td>\n","    </tr>\n","    <tr>\n","      <th>370</th>\n","      <td>http://geocities.com/luctus.xml?ipsum=etiam&amp;pr...</td>\n","      <td>12</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>78</td>\n","    </tr>\n","    <tr>\n","      <th>371</th>\n","      <td>https://vkontakte.ru/montes/nascetur.html?ante...</td>\n","      <td>86</td>\n","      <td>98</td>\n","      <td>21</td>\n","      <td>1</td>\n","      <td>18</td>\n","    </tr>\n","    <tr>\n","      <th>423</th>\n","      <td>http://networkadvertising.org/dapibus/duis/at....</td>\n","      <td>58</td>\n","      <td>61</td>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>72</td>\n","    </tr>\n","    <tr>\n","      <th>538</th>\n","      <td>http://blinklist.com/eget/tincidunt/eget/tempu...</td>\n","      <td>66</td>\n","      <td>52</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>61</td>\n","    </tr>\n","    <tr>\n","      <th>559</th>\n","      <td>http://nbcnews.com/lacus.xml?massa=ultrices&amp;te...</td>\n","      <td>10</td>\n","      <td>64</td>\n","      <td>30</td>\n","      <td>3</td>\n","      <td>20</td>\n","    </tr>\n","    <tr>\n","      <th>608</th>\n","      <td>http://vistaprint.com/eu/interdum/eu/tincidunt...</td>\n","      <td>31</td>\n","      <td>39</td>\n","      <td>51</td>\n","      <td>2</td>\n","      <td>93</td>\n","    </tr>\n","    <tr>\n","      <th>663</th>\n","      <td>http://soundcloud.com/varius/nulla/facilisi/cr...</td>\n","      <td>95</td>\n","      <td>46</td>\n","      <td>48</td>\n","      <td>1</td>\n","      <td>24</td>\n","    </tr>\n","    <tr>\n","      <th>676</th>\n","      <td>https://senate.gov/leo/maecenas.html?aliquam=f...</td>\n","      <td>40</td>\n","      <td>94</td>\n","      <td>20</td>\n","      <td>3</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>698</th>\n","      <td>https://salon.com/nulla/suscipit/ligula/in/lac...</td>\n","      <td>31</td>\n","      <td>3</td>\n","      <td>75</td>\n","      <td>2</td>\n","      <td>49</td>\n","    </tr>\n","    <tr>\n","      <th>705</th>\n","      <td>https://godaddy.com/ipsum/dolor/sit/amet/conse...</td>\n","      <td>51</td>\n","      <td>60</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>14</td>\n","    </tr>\n","    <tr>\n","      <th>724</th>\n","      <td>http://cam.ac.uk/at/lorem/integer/tincidunt/an...</td>\n","      <td>4</td>\n","      <td>6</td>\n","      <td>29</td>\n","      <td>3</td>\n","      <td>65</td>\n","    </tr>\n","    <tr>\n","      <th>814</th>\n","      <td>http://reference.com/in.html?morbi=sociis&amp;odio...</td>\n","      <td>37</td>\n","      <td>68</td>\n","      <td>13</td>\n","      <td>2</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>881</th>\n","      <td>http://epa.gov/id/nisl/venenatis/lacinia/aenea...</td>\n","      <td>32</td>\n","      <td>63</td>\n","      <td>98</td>\n","      <td>3</td>\n","      <td>83</td>\n","    </tr>\n","    <tr>\n","      <th>914</th>\n","      <td>https://irs.gov/aenean/fermentum/donec.html?or...</td>\n","      <td>91</td>\n","      <td>13</td>\n","      <td>38</td>\n","      <td>2</td>\n","      <td>98</td>\n","    </tr>\n","    <tr>\n","      <th>958</th>\n","      <td>https://census.gov/et.png?proin=viverra&amp;interd...</td>\n","      <td>77</td>\n","      <td>60</td>\n","      <td>96</td>\n","      <td>2</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>962</th>\n","      <td>https://about.com/ultrices/posuere/cubilia/cur...</td>\n","      <td>45</td>\n","      <td>81</td>\n","      <td>87</td>\n","      <td>2</td>\n","      <td>54</td>\n","    </tr>\n","    <tr>\n","      <th>991</th>\n","      <td>https://mtv.com/fermentum/justo/nec/condimentu...</td>\n","      <td>70</td>\n","      <td>48</td>\n","      <td>98</td>\n","      <td>1</td>\n","      <td>73</td>\n","    </tr>\n","    <tr>\n","      <th>998</th>\n","      <td>https://dailymail.co.uk/turpis/adipiscing.jpg?...</td>\n","      <td>38</td>\n","      <td>26</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>13</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1641e80b-6c50-44e0-96c6-fa5b841dc90b')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","    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 10     64   \n","608  http://vistaprint.com/eu/interdum/eu/tincidunt...     31     39   \n","663  http://soundcloud.com/varius/nulla/facilisi/cr...     95     46   \n","676  https://senate.gov/leo/maecenas.html?aliquam=f...     40     94   \n","698  https://salon.com/nulla/suscipit/ligula/in/lac...     31      3   \n","705  https://godaddy.com/ipsum/dolor/sit/amet/conse...     51     60   \n","724  http://cam.ac.uk/at/lorem/integer/tincidunt/an...      4      6   \n","814  http://reference.com/in.html?morbi=sociis&odio...     37     68   \n","881  http://epa.gov/id/nisl/venenatis/lacinia/aenea...     32     63   \n","914  https://irs.gov/aenean/fermentum/donec.html?or...     91     13   \n","958  https://census.gov/et.png?proin=viverra&interd...     77     60   \n","962  https://about.com/ultrices/posuere/cubilia/cur...     45     81   \n","991  https://mtv.com/fermentum/justo/nec/condimentu...     70     48   \n","998  https://dailymail.co.uk/turpis/adipiscing.jpg?...     38     26   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","63               56                        3           72  \n","140              54                        3           94  \n","144              87                        1           51  \n","280              11                        1           97  \n","329              61                        1           54  \n","353              50                        1           72  \n","370               3                        2           78  \n","371              21                        1           18  \n","423               9                        1           72  \n","538               3                        2           61  \n","559              30                        3           20  \n","608              51                        2           93  \n","663              48                        1           24  \n","676              20                        3           40  \n","698              75                        2           49  \n","705             100                        3           14  \n","724              29                        3           65  \n","814              13                        2           22  \n","881              98                        3           83  \n","914              38                        2           98  \n","958              96                        2           32  \n","962              87                        2           54  \n","991              98                        1           73  \n","998              29                        1           13  "]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time_less_4\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1701526053040,"user":{"displayName":"Alataf 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<td>57.500000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>67.000000</td>\n","      <td>65.000000</td>\n","      <td>78.000000</td>\n","      <td>3.000000</td>\n","      <td>74.250000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>95.000000</td>\n","      <td>100.000000</td>\n","      <td>100.000000</td>\n","      <td>3.000000</td>\n","      <td>98.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7604c97a-8c2e-480a-aad2-bc8344eeea4c')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 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\n","max      98.000000  "]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time_less_4.describe()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":226},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701526059666,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"eKG6BBM92x9k","outputId":"c12e654a-37b6-49e9-f70b-774517e745d6"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-97982c7e-bf2a-4bcf-a9b6-908917a04315\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>page_path</th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>63</th>\n","      <td>https://tinyurl.com/molestie/hendrerit/at/vulp...</td>\n","      <td>87</td>\n","      <td>8</td>\n","      <td>56</td>\n","      <td>3</td>\n","      <td>72</td>\n","    </tr>\n","    <tr>\n","      <th>140</th>\n","      <td>http://linkedin.com/duis/at/velit.aspx?ultrice...</td>\n","      <td>55</td>\n","      <td>87</td>\n","      <td>54</td>\n","      <td>3</td>\n","      <td>94</td>\n","    </tr>\n","    <tr>\n","      <th>144</th>\n","      <td>http://t.co/duis/consequat.jsp?a=et&amp;libero=ult...</td>\n","      <td>34</td>\n","      <td>3</td>\n","      <td>87</td>\n","      <td>1</td>\n","      <td>51</td>\n","    </tr>\n","    <tr>\n","      <th>280</th>\n","      <td>https://gizmodo.com/lobortis/convallis/tortor/...</td>\n","      <td>43</td>\n","      <td>25</td>\n","      <td>11</td>\n","      <td>1</td>\n","      <td>97</td>\n","    </tr>\n","    <tr>\n","      <th>329</th>\n","      <td>http://vinaora.com/aliquam/augue/quam/sollicit...</td>\n","      <td>12</td>\n","      <td>46</td>\n","      <td>61</td>\n","      <td>1</td>\n","      <td>54</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-97982c7e-bf2a-4bcf-a9b6-908917a04315')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 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<th></th>\n","      <th>page_path</th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>914</th>\n","      <td>https://irs.gov/aenean/fermentum/donec.html?or...</td>\n","      <td>91</td>\n","      <td>13</td>\n","      <td>38</td>\n","      <td>2</td>\n","      <td>98</td>\n","    </tr>\n","    <tr>\n","      <th>958</th>\n","      <td>https://census.gov/et.png?proin=viverra&amp;interd...</td>\n","      <td>77</td>\n","      <td>60</td>\n","      <td>96</td>\n","      <td>2</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>962</th>\n","      <td>https://about.com/ultrices/posuere/cubilia/cur...</td>\n","      <td>45</td>\n","      <td>81</td>\n","      <td>87</td>\n","      <td>2</td>\n","      <td>54</td>\n","    </tr>\n","    <tr>\n","      <th>991</th>\n","      <td>https://mtv.com/fermentum/justo/nec/condimentu...</td>\n","      <td>70</td>\n","      <td>48</td>\n","      <td>98</td>\n","      <td>1</td>\n","      <td>73</td>\n","    </tr>\n","    <tr>\n","      <th>998</th>\n","      <td>https://dailymail.co.uk/turpis/adipiscing.jpg?...</td>\n","      <td>38</td>\n","      <td>26</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>13</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-66b5dcd1-785d-4671-b39c-97148a6acbac')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 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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","\n","\n","<div id=\"df-e49806a7-2a72-4729-9e03-e1ddd48ebafc\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e49806a7-2a72-4729-9e03-e1ddd48ebafc')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-e49806a7-2a72-4729-9e03-e1ddd48ebafc button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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"]},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time_less_4.tail()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ir-0rDw221dF"},"outputs":[],"source":["df_page_avg_time_15 = df_web[df_web['Average_engagement_time']>15]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":444},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701526088626,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"KFuidgtQ23qV","outputId":"036d2657-573e-4831-8b84-c150faa9b35d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-3e836c66-bc6d-433b-89ff-a26aff2c7caa\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","    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<td>82</td>\n","      <td>47</td>\n","      <td>86</td>\n","      <td>32</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>https://phpbb.com/elementum/in/hac/habitasse/p...</td>\n","      <td>96</td>\n","      <td>50</td>\n","      <td>14</td>\n","      <td>72</td>\n","      <td>71</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>http://icio.us/pulvinar/sed/nisl.html?tortor=m...</td>\n","      <td>8</td>\n","      <td>66</td>\n","      <td>4</td>\n","      <td>43</td>\n","      <td>22</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>994</th>\n","      <td>http://tinypic.com/aliquam.json?varius=sceleri...</td>\n","      <td>77</td>\n","      <td>76</td>\n","      <td>7</td>\n","      <td>18</td>\n","      <td>45</td>\n","    </tr>\n","    <tr>\n","      <th>995</th>\n"," 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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","\n","\n","<div id=\"df-8da614b0-db41-4c60-b376-ab85f989d3c7\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8da614b0-db41-4c60-b376-ab85f989d3c7')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-8da614b0-db41-4c60-b376-ab85f989d3c7 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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 20      8   \n","\n","     Views_per_user  Average_engagement_time  Event_count  \n","0                65                       19           88  \n","1                36                       50            6  \n","3                47                       86           32  \n","4                14                       72           71  \n","5                 4                       43           22  \n","..              ...                      ...          ...  \n","994               7                       18           45  \n","995              20                       80            4  \n","996              54                       52           79  \n","997              31                       80           69  \n","999              90                       68           30  \n","\n","[861 rows x 6 columns]"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time_15"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":603,"status":"ok","timestamp":1701526101256,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"8OTxp7K2260E","outputId":"cd7e43c8-b539-45db-8447-59b40069bc04"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-65f8c70e-52dc-4e86-bbaf-14c546672024\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Views</th>\n","      <th>USers</th>\n","      <th>Views_per_user</th>\n","      <th>Average_engagement_time</th>\n","      <th>Event_count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>861.000000</td>\n","      <td>861.000000</td>\n","      <td>861.000000</td>\n","      <td>861.000000</td>\n","      <td>861.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>50.811847</td>\n","      <td>50.389082</td>\n","      <td>49.465738</td>\n","      <td>58.720093</td>\n","      <td>53.493612</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>29.407670</td>\n","      <td>28.962379</td>\n","      <td>28.471900</td>\n","      <td>24.086992</td>\n","      <td>28.249619</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>16.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","  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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","\n","\n","<div id=\"df-c08254b7-6688-463f-9ee6-cb5854ba8724\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c08254b7-6688-463f-9ee6-cb5854ba8724')\"\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","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-c08254b7-6688-463f-9ee6-cb5854ba8724 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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77.000000  \n","max     100.000000  "]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["df_page_avg_time_15.describe()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jCZYa0nP2947"},"outputs":[],"source":["df_page_avg_time = df_web[df_web['Average_engagement_time']>10]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":548},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1701526118913,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"PrS23ywG2_0v","outputId":"a04d83e2-d471-440f-b12c-be6a1332e2b1"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-6cc9e153-9cce-490b-9cdf-3df03897375e\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n"," 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(days, temperature)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":1293,"status":"ok","timestamp":1701526505778,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"oYLWJ3sT4cnE","outputId":"aae646fa-f1f3-4365-97fa-7ed702334cac"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(days, temperature)\n","plt.title('Temperature Over a Week')\n","plt.xlabel('Day')\n","plt.ylabel('Temperature (°C)')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":447},"executionInfo":{"elapsed":1641,"status":"ok","timestamp":1701526650908,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"J3Yo-8TD4-9S","outputId":"60a7ad78-ebee-4810-9c49-d100cc43f1eb"},"outputs":[{"data":{"text/plain":["<matplotlib.collections.PathCollection at 0x7ca99a5cd990>"]},"execution_count":47,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.scatter(days,temperature)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":1034,"status":"ok","timestamp":1701526723367,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"kdT8P-h-5MCL","outputId":"be2cde4e-efac-4af7-b081-3b941ae11a98"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjIAAAHHCAYAAACle7JuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABBLElEQVR4nO3deXhTZf7+8TvdS2nDIt2QpSJaVmVRKEWYgUpB4SdDFVGRRVzGKQyL4FAdRBSs4IiICggqKMugqCg4Iw5UZLMssigMiiAFitCiQBMKtpT2/P7g2wyhLSTYkpz2/bquXJc55+Tkk8Yx9zzneT7HYhiGIQAAABPy8XQBAAAAV4ogAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAATIsgAwAoF1999ZUsFos+/PBDT5eCKoQgA1zAYrG49Pjqq688XarHzJgxQ/PmzfN0GWUyDEPz589Xp06dVKNGDVWrVk0tWrTQc889p9OnT3u6vHJz7NgxWSwWDR8+vMS+4cOHy2KxaPz48SX2DRgwQP7+/jpz5szVKBOocH6eLgDwJvPnz3d6/t5772nlypUltjdp0uRqluVVZsyYoWuuuUaDBg3ydCklFBYW6v7779cHH3yg2267Tc8++6yqVaumdevWacKECVqyZIlWrVqliIgIT5f6u4WHh6tx48Zav359iX0bNmyQn5+fNmzYUOq+Vq1aqVq1alejTKDCEWSAC/Tv39/p+caNG7Vy5coS2ysLwzCUl5en4ODgSlHHlClT9MEHH2j06NF66aWXHNsfffRR9e3bV71799agQYP0+eef/96S3XLmzJkKCQ4dO3bUe++9p9zcXFWvXl2SdPr0aX377bfq27evli1bpsLCQvn6+kqSjh49qv379+uuu+4q91oAT+HSEuCmoqIiTZs2Tc2aNVNQUJAiIiL02GOP6eTJk07HNWzYUD179tRXX32ltm3bKjg4WC1atHBclvr444/VokULBQUFqU2bNtq+fbvT6wcNGqTq1atr//79SkxMVEhIiKKjo/Xcc8/p4pvWu1vTF1984ajpzTfflCTNnTtXXbp0UXh4uAIDA9W0aVPNnDmzxOv/+9//as2aNY7LbH/4wx8kSc8++6wsFkuJv9e8efNksVh04MABl+rIycnRiBEjVK9ePQUGBur666/X5MmTVVRUdMnv5bffftNLL72kG264QampqSX29+rVSwMHDtSKFSu0ceNGSVLPnj113XXXlXq+uLg4tW3b1mnbggUL1KZNGwUHB6tWrVrq16+fMjMznY75wx/+oObNm2vr1q3q1KmTqlWrpqeeeqrMur/77jsNGjRI1113nYKCghQZGamHHnpIx48fv+Tnlc4HmcLCQsfnkaRNmzbp3LlzGj16tHJzc7Vjxw7HvuIRmo4dOzod3717d1mtVlWrVk2dO3cudSTn559/1kMPPaSIiAgFBgaqWbNmeueddy5bY35+vnr27Cmr1aqvv/76sscD7iLIAG567LHHNGbMGMXHx+vVV1/V4MGDtXDhQiUmJqqgoMDp2H379un+++9Xr169lJqaqpMnT6pXr15auHChRo4cqf79+2vChAn66aef1Ldv3xI/1oWFherevbsiIiI0ZcoUtWnTRuPHjy8x98Gdmvbs2aP77rtPt99+u1599VXdfPPNkqSZM2eqQYMGeuqpp/Tyyy+rXr16+stf/qI33njD8dpp06bp2muvVWxsrObPn6/58+fr6aefvqK/Y2l1nDlzRp07d9aCBQs0YMAATZ8+XfHx8UpJSdGoUaMueb7169fr5MmTuv/+++XnV/pg84ABAyRJn332mSTp3nvvVUZGhrZs2eJ03MGDB7Vx40b169fPsW3SpEkaMGCAGjdurKlTp2rEiBFKS0tTp06dlJOT4/T648ePq0ePHrr55ps1bdo0/fGPfyyz7pUrV2r//v0aPHiwXnvtNfXr10+LFy/WHXfcUSKwXqw4kFx4eWnDhg264YYb1KpVK1177bVOoeTiIPPll1+qU6dOstvtGj9+vF544QXl5OSoS5cu2rx5s+N12dnZat++vVatWqWhQ4fq1Vdf1fXXX68hQ4Zo2rRpZdb322+/qVevXvr666+1atUqdejQ4ZKfB7giBoAyJScnGxf+z2TdunWGJGPhwoVOx61YsaLE9gYNGhiSjK+//tqx7YsvvjAkGcHBwcbBgwcd2998801DkrF69WrHtoEDBxqSjGHDhjm2FRUVGXfeeacREBBg/PLLL1dc04oVK0p81jNnzpTYlpiYaFx33XVO25o1a2Z07ty5xLHjx483SvtPyty5cw1JRkZGxmXreP75542QkBDjxx9/dNo+duxYw9fX1zh06FCJ8xebNm2aIclYunRpmcecOHHCkGT06dPHMAzDsNlsRmBgoPHEE084HTdlyhTDYrE4vqMDBw4Yvr6+xqRJk5yO27lzp+Hn5+e0vXPnzoYkY9asWWXWcaHS/u7//Oc/DUnG2rVrL/v68PBwo2vXro7niYmJxuDBgw3DMIy+ffsa99xzj2Nf27ZtjcaNGxuGcf7fpcaNGxuJiYlGUVGRUz0xMTHG7bff7tg2ZMgQIyoqyvj111+d3rtfv36G1Wp1fIbVq1cbkowlS5YYp06dMjp37mxcc801xvbt2134SwBXhhEZwA1LliyR1WrV7bffrl9//dXxaNOmjapXr67Vq1c7Hd+0aVPFxcU5nrdr106S1KVLF9WvX7/E9v3795d4z6FDhzr+2WKxaOjQoTp79qxWrVp1RTXFxMQoMTGxxPtcOD/FZrPp119/VefOnbV//37ZbDaX/0auKq2OJUuW6LbbblPNmjWdPktCQoIKCwu1du3aMs936tQpSVJoaGiZxxTvs9vtkqSwsDD16NFDH3zwgdPox/vvv6/27ds7vqOPP/5YRUVF6tu3r1NdkZGRaty4cYm/cWBgoAYPHuzS3+HCv3teXp5+/fVXtW/fXpK0bdu2y74+Pj5emzZtUmFhoYqKirRx40bHyEd8fLxjFObMmTPasWOHYzRmx44d2rt3r+6//34dP37c8ZlOnz6trl27au3atSoqKpJhGProo4/Uq1cvGYbh9PkTExNls9lK1Gmz2dStWzf98MMP+uqrrxyjfkBFYLIv4Ia9e/fKZrMpPDy81P3Hjh1zen5hWJEkq9UqSapXr16p2y+e0+Lj41NiDscNN9wgSY45J+7WFBMTU+pxGzZs0Pjx45Wenl5iaa7NZnPUWF5Kq2Pv3r367rvvVKdOnVJfc/FnuVBxSCkONKUpLezce++9+uSTT5Senq4OHTrop59+0tatW50umezdu1eGYahx48alntff39/ped26dRUQEFBmHRc6ceKEJkyYoMWLF5f4fK4EyI4dO2rp0qXasWOH/P39ZbPZFB8fL0nq0KGDjhw5ogMHDigjI0Pnzp1zBJm9e/dKkgYOHFjmuW02mwoKCpSTk6PZs2dr9uzZpR53cd0jRoxQXl6etm/frmbNml32MwC/B0EGcENRUZHCw8O1cOHCUvdf/ANcvFrkYmVtNy4zJ6I8aiptZdBPP/2krl27KjY2VlOnTlW9evUUEBCgf//733rllVcuO9FWUqkTfaXz83xKU1odRUVFuv322/Xkk0+W+priEFea4iXx3333nXr37l3qMd99952k8yNlxXr16qVq1arpgw8+UIcOHfTBBx/Ix8dH99xzj1NdFotFn3/+eanfXfGKoUt9trL07dtXX3/9tcaMGaObb75Z1atXV1FRkbp37+7S3/3CeTIBAQGqVauWYmNjJUk333yzqlWrpvXr1ysjI8Pp+OJzv/TSS2WOmFSvXt0x6bh///5lhp6WLVs6Pb/rrru0ePFivfjii3rvvffk48PgPyoOQQZwQ6NGjbRq1SrFx8dflSXLRUVF2r9/v9MP+I8//ijp/Mqf8qpp+fLlys/P17Jly5xGkS6+ZCKVHVhq1qwp6fyqoxo1aji2Hzx40OU6GjVqpNzcXCUkJLj8mmIdO3ZUjRo1tGjRIj399NOlBo733ntP0vnVSsVCQkLUs2dPLVmyRFOnTtX777+v2267TdHR0U51GYahmJiYS4Ypd508eVJpaWmaMGGCnnnmGcf24tESV7Ru3doRVgIDAxUXF+f4jvz8/HTLLbdow4YNysjIUHh4uKP+Ro0aSTp/ee1Sf+86deooNDRUhYWFLn8vvXv3Vrdu3TRo0CCFhoaWWP0GlCdiMuCGvn37qrCwUM8//3yJfefOnSuxeqU8vP76645/NgxDr7/+uvz9/dW1a9dyq6n4R//CESGbzaa5c+eWODYkJKTUcxb/MF44j+X06dN69913L/v+xfr27av09HR98cUXJfbl5OTo3LlzZb62WrVqGj16tPbs2VPqSqp//etfmjdvnhITEx1zUIrde++9OnLkiN566y19++23uvfee5329+nTR76+vpowYUKJUTPDMFxaKl2a0v7uki65Euhifn5+ateunTZs2KANGzaUWBnUoUMHrV27Vhs3bnRccpKkNm3aqFGjRvrHP/6h3NzcEuf95ZdfHDUmJSXpo48+0q5du8o87mLFq85mzZqlv/3tby5/HsBdjMgAbujcubMee+wxpaamaseOHerWrZv8/f21d+9eLVmyRK+++qruvvvucnu/oKAgrVixQgMHDlS7du30+eef61//+peeeuopxyWj8qipW7duCggIUK9evfTYY48pNzdXc+bMUXh4uI4ePep0bJs2bTRz5kxNnDhR119/vcLDw9WlSxd169ZN9evX15AhQzRmzBj5+vrqnXfeUZ06dXTo0CGXPu+YMWO0bNky9ezZU4MGDVKbNm10+vRp7dy5Ux9++KEOHDiga665pszXjx07Vtu3b9fkyZOVnp6upKQkBQcHa/369VqwYIGaNGlSarC64447FBoaqtGjRzt+uC/UqFEjTZw4USkpKTpw4IB69+6t0NBQZWRkaOnSpXr00Uc1evRolz7jhcLCwtSpUydNmTJFBQUFqlu3rv7zn/84LgO5qmPHjo7RswvDinQ+yBT31bmwf4yPj4/eeust9ejRQ82aNdPgwYNVt25d/fzzz1q9erXCwsK0fPlySdKLL76o1atXq127dnrkkUfUtGlTnThxQtu2bdOqVat04sSJUusaOnSo7Ha7nn76aVmt1kv20wGumIdWSwGmcPHy62KzZ8822rRpYwQHBxuhoaFGixYtjCeffNI4cuSI45gGDRoYd955Z4nXSjKSk5OdtmVkZBiSjJdeesmxbeDAgUZISIjx008/Gd26dTOqVatmREREGOPHjzcKCwvLtSbDMIxly5YZLVu2NIKCgoyGDRsakydPNt55550SS6ezsrKMO++80wgNDTUkOS3F3rp1q9GuXTsjICDAqF+/vjF16tQyl1+XVcepU6eMlJQU4/rrrzcCAgKMa665xujQoYPxj3/8wzh79mypr7lQYWGhMXfuXCM+Pt4ICwszgoKCjGbNmhkTJkwwcnNzy3zdAw88YEgyEhISyjzmo48+Mjp27GiEhIQYISEhRmxsrJGcnGzs2bPHcUznzp2NZs2aXbbOYocPHzb+9Kc/GTVq1DCsVqtxzz33GEeOHDEkGePHj3fpHMXL+v38/IzTp0877Tt+/LhhsVgMScamTZtKvHb79u1Gnz59jNq1axuBgYFGgwYNjL59+xppaWlOx2VnZxvJyclGvXr1DH9/fyMyMtLo2rWrMXv2bMcxFy6/vtCTTz5pSDJef/11F/8qgOsshnEFswsBVLhBgwbpww8/LHXYHwBwHnNkAACAaRFkAACAaRFkAACAaTFHBgAAmBYjMgAAwLQIMgAAwLQqfUO8oqIiHTlyRKGhoWW2VgcAAN7FMAydOnVK0dHRl7xfV6UPMkeOHClxp2EAAGAOmZmZuvbaa8vcX+mDTGhoqKTzf4iwsDAPVwMAAFxht9tVr149x+94WTwaZE6dOqVx48Zp6dKlOnbsmFq1aqVXX31Vt9xyi6Tzw0rjx4/XnDlzlJOTo/j4eM2cOVONGzd2+T2KLyeFhYURZAAAMJnLTQvx6GTfhx9+WCtXrtT8+fO1c+dOdevWTQkJCfr5558lSVOmTHHcPXXTpk0KCQlRYmKi8vLyPFk2AADwEh7rI/Pbb78pNDRUn376qe68807H9jZt2qhHjx56/vnnFR0drSeeeMJxV1mbzaaIiAjNmzdP/fr1c+l97Ha7rFarbDYbIzIAAJiEq7/fHhuROXfunAoLCxUUFOS0PTg4WOvXr1dGRoaysrKUkJDg2Ge1WtWuXTulp6df7XIBAIAX8liQCQ0NVVxcnJ5//nkdOXJEhYWFWrBggdLT03X06FFlZWVJkiIiIpxeFxER4dhXmvz8fNntdqcHAAConDw6R2b+/PkyDEN169ZVYGCgpk+frvvuu++S68UvJzU1VVar1fFg6TUAAJWXR4NMo0aNtGbNGuXm5iozM1ObN29WQUGBrrvuOkVGRkqSsrOznV6TnZ3t2FealJQU2Ww2xyMzM7NCPwMAAPAcr7hFQUhIiKKionTy5El98cUXuuuuuxQTE6PIyEilpaU5jrPb7dq0aZPi4uLKPFdgYKBjqTVLrgEAqNw82kfmiy++kGEYuvHGG7Vv3z6NGTNGsbGxGjx4sCwWi0aMGKGJEyeqcePGiomJ0bhx4xQdHa3evXt7smwAAOAlPBpkbDabUlJSdPjwYdWqVUtJSUmaNGmS/P39JUlPPvmkTp8+rUcffVQ5OTnq2LGjVqxYUWKlEwAAqJo81kfmaqGPDAAA5a+wyNDmjBM6dipP4aFBujWmlnx9yu/mzK7+flf6ey0BAIDytWLXUU1YvltHbf/rtB9lDdL4Xk3VvXnUVa3FKyb7AgAAc1ix66geX7DNKcRIUpYtT48v2KYVu45e1XoIMgAAwCWFRYYmLN+t0uakFG+bsHy3Couu3qwVggwAAHDJ5owTJUZiLmRIOmrL0+aME1etJoIMAABwybFTZYeYKzmuPBBkAACAS8JDXWt/4upx5YEgAwAAXHJrTC1FWYNU1iJri86vXro1ptZVq4kgAwAAXOLrY9H4Xk0lqUSYKX4+vlfTcu0nczkEGQAA4LLuzaM0s39rRVqdLx9FWoM0s3/rq95HhoZ4AADALd2bR+n2ppEV2tnXVQQZAADgNl8fi+Ia1fZ0GVxaAgAA5kWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApuXRIFNYWKhx48YpJiZGwcHBatSokZ5//nkZhuE4xjAMPfPMM4qKilJwcLASEhK0d+9eD1YNAAC8hUeDzOTJkzVz5ky9/vrr+v777zV58mRNmTJFr732muOYKVOmaPr06Zo1a5Y2bdqkkJAQJSYmKi8vz4OVAwAAb2AxLhz+uMp69uypiIgIvf32245tSUlJCg4O1oIFC2QYhqKjo/XEE09o9OjRkiSbzaaIiAjNmzdP/fr1u+x72O12Wa1W2Ww2hYWFVdhnAQAA5cfV32+Pjsh06NBBaWlp+vHHHyVJ3377rdavX68ePXpIkjIyMpSVlaWEhATHa6xWq9q1a6f09HSP1AwAALyHnyfffOzYsbLb7YqNjZWvr68KCws1adIkPfDAA5KkrKwsSVJERITT6yIiIhz7Lpafn6/8/HzHc7vdXkHVAwAAT/PoiMwHH3yghQsXatGiRdq2bZveffdd/eMf/9C77757xedMTU2V1Wp1POrVq1eOFQMAAG/i0SAzZswYjR07Vv369VOLFi304IMPauTIkUpNTZUkRUZGSpKys7OdXpedne3Yd7GUlBTZbDbHIzMzs2I/BAAA8BiPBpkzZ87Ix8e5BF9fXxUVFUmSYmJiFBkZqbS0NMd+u92uTZs2KS4urtRzBgYGKiwszOkBAAAqJ4/OkenVq5cmTZqk+vXrq1mzZtq+fbumTp2qhx56SJJksVg0YsQITZw4UY0bN1ZMTIzGjRun6Oho9e7d25OlAwAAL+DRIPPaa69p3Lhx+stf/qJjx44pOjpajz32mJ555hnHMU8++aROnz6tRx99VDk5OerYsaNWrFihoKAgD1YOAAC8gUf7yFwN9JEBAMB8TNFHBgAA4PcgyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANMiyAAAANPyaJBp2LChLBZLiUdycrIkKS8vT8nJyapdu7aqV6+upKQkZWdne7JkAADgRTwaZLZs2aKjR486HitXrpQk3XPPPZKkkSNHavny5VqyZInWrFmjI0eOqE+fPp4sGQAAeBGLYRiGp4soNmLECH322Wfau3ev7Ha76tSpo0WLFunuu++WJP3www9q0qSJ0tPT1b59e5fOabfbZbVaZbPZFBYWVpHlAwCAcuLq77fXzJE5e/asFixYoIceekgWi0Vbt25VQUGBEhISHMfExsaqfv36Sk9P92ClAADAW/h5uoBin3zyiXJycjRo0CBJUlZWlgICAlSjRg2n4yIiIpSVlVXmefLz85Wfn+94brfbK6JcAADgBbxmRObtt99Wjx49FB0d/bvOk5qaKqvV6njUq1evnCoEAADexiuCzMGDB7Vq1So9/PDDjm2RkZE6e/ascnJynI7Nzs5WZGRkmedKSUmRzWZzPDIzMyuqbAAA4GFeEWTmzp2r8PBw3XnnnY5tbdq0kb+/v9LS0hzb9uzZo0OHDikuLq7McwUGBiosLMzpAQAAKiePz5EpKirS3LlzNXDgQPn5/a8cq9WqIUOGaNSoUapVq5bCwsI0bNgwxcXFubxiCQAAVG4eDzKrVq3SoUOH9NBDD5XY98orr8jHx0dJSUnKz89XYmKiZsyY4YEqAQCAN/KqPjIVgT4yAACYj+n6yAAAALiLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEyLIAMAAEzLrbtff//991q8eLHWrVungwcP6syZM6pTp45atWqlxMREJSUlKTAwsKJqBQAAcOLS3a+3bdumJ598UuvXr1d8fLxuvfVWRUdHKzg4WCdOnNCuXbu0bt062e12PfnkkxoxYoTXBBrufg0AgPm4+vvt0ohMUlKSxowZow8//FA1atQo87j09HS9+uqrevnll/XUU0+5XTQAAIA7XBqRKSgokL+/v8sndff4isSIDAAA5uPq77dLk33dDSXeEmIAAEDl5vKqpS+//FJNmzaV3W4vsc9ms6lZs2Zat25duRYHAABwKS4HmWnTpumRRx4pdXjHarXqscce09SpU8u1OAAAgEtxOch8++236t69e5n7u3Xrpq1bt5ZLUQAAAK5wOchkZ2dfcu6Ln5+ffvnll3IpCgAAwBUuB5m6detq165dZe7/7rvvFBUVVS5FAQAAuMLlIHPHHXdo3LhxysvLK7Hvt99+0/jx49WzZ89yLQ4AAOBSXOojI52/tNS6dWv5+vpq6NChuvHGGyVJP/zwg9544w0VFhZq27ZtioiIqNCC3UUfGQAAzKdcO/tKUkREhL7++ms9/vjjSklJUXH+sVgsSkxM1BtvvOF1IQYAAFRubt00skGDBvr3v/+tkydPat++fTIMQ40bN1bNmjUrqj4AAIAyuRVkitWsWVO33HJLedcCAADgFpeDTF5enqZNm6acnBwNHz6cFUoAAMDjXF61NGTIEO3du1e1a9dWQkJCRdYEAADgEpdXLUVHR2vlypVq1qyZAgICdPjwYYWHh1d0fb8bq5YAADCfcl+11LlzZ7366qu64YYbVL9+fVOEGAAAULm5fGnp7bffVsOGDZWdna20tLSKrAkAAMAlLl9aMisuLQEAYD6u/n67PCIDAADgbVwKMn/+8591+PBhl074/vvva+HChb+rKAAAAFe4NNm3Tp06atasmeLj49WrVy+1bdtW0dHRCgoK0smTJ7V7926tX79eixcvVnR0tGbPnl3RdQMAALh308i33npLixcv1u7du532hYaGKiEhQQ8//LC6d+9eIYVeKebIAABgPq7+fl/RZN+TJ0/q0KFD+u2333TNNdeoUaNGslgsv6vgikKQAQDAfMq9j8yFatasyY0iAQCAx11RkAEAAFemsMjQ5owTOnYqT+GhQbo1ppZ8fbzzqoYZeHz59c8//6z+/furdu3aCg4OVosWLfTNN9849huGoWeeeUZRUVEKDg5WQkKC9u7d68GKAQC4Mit2HVXHyV/qvjkbNXzxDt03Z6M6Tv5SK3Yd9XRppuXRIHPy5EnFx8fL399fn3/+uXbv3q2XX37Z6bLVlClTNH36dM2aNUubNm1SSEiIEhMTlZeX58HKAQBwz4pdR/X4gm06anP+/cqy5enxBdsIM1fIo519x44dqw0bNmjdunWl7jcMQ9HR0XriiSc0evRoSZLNZlNERITmzZunfv36XfY9mOwLAPC0wiJDHSd/WSLEFLNIirQGaf3funCZ6f9UaGffc+fOadWqVXrzzTd16tQpSdKRI0eUm5vr1nmWLVumtm3b6p577lF4eLhatWqlOXPmOPZnZGQoKytLCQkJjm1Wq1Xt2rVTenp6qefMz8+X3W53egAA4EmbM06UGWIkyZB01JanzRknrl5RlYTbQebgwYNq0aKF7rrrLiUnJ+uXX36RJE2ePNkxauKq/fv3a+bMmWrcuLG++OILPf744/rrX/+qd999V5KUlZUlSYqIiHB6XUREhGPfxVJTU2W1Wh2PevXqufsRAQAoV8dOuTYdwtXj8D9uB5nhw4erbdu2OnnypIKDgx3b//SnP7l9V+yioiK1bt1aL7zwglq1aqVHH31UjzzyiGbNmuVuWQ4pKSmy2WyOR2Zm5hWfCwCA8hAeGlSux+F/3A4y69at09///ncFBAQ4bW/YsKF+/vlnt84VFRWlpk2bOm1r0qSJDh06JEmKjIyUdL6r8IWys7Md+y4WGBiosLAwpwcAAJ50a0wtRVmDVNbsF4ukKOv5pdhwj9tBpqioSIWFhSW2Hz58WKGhoW6dKz4+Xnv27HHa9uOPP6pBgwaSpJiYGEVGRjqN9Njtdm3atElxcXHulg4AgEf4+lg0vtf5/+N+cZgpfj6+V1Mm+l4Bt4NMt27dNG3aNMdzi8Wi3NxcjR8/XnfccYdb5xo5cqQ2btyoF154Qfv27dOiRYs0e/ZsJScnO849YsQITZw4UcuWLdPOnTs1YMAARUdHq3fv3u6WDgCAx3RvHqWZ/Vsr0up8+SjSGqSZ/Vure/MoD1Vmbm4vv87MzFT37t1lGIb27t2rtm3bau/evbrmmmu0du1ahYeHu1XAZ599ppSUFO3du1cxMTEaNWqUHnnkEcd+wzA0fvx4zZ49Wzk5OerYsaNmzJihG264waXzs/waAOBN6Ozrmgq9aeS5c+f0/vvv69tvv1Vubq5at26tBx54wGnyr7cgyABA5UAAqFoqJMgUFBQoNjZWn332mZo0aVIuhVY0ggwAmN+KXUc1Yflup14sUdYgje/VlEsylVSFNMTz9/fn1gAAgKuK1v64FLcn+yYnJ2vy5Mk6d+5cRdQDAIBDYZGhCct3q7RLB8XbJizfrcIij91tBx7m5+4LtmzZorS0NP3nP/9RixYtFBIS4rT/448/LrfiAABVmzut/eMa1b56hcFruB1katSooaSkpIqoBQAAJ7T2x+W4HWTmzp1bEXUAAFACrf1xOVd092sAAK4GWvvjctwekYmJiZHFUva6/f379/+uggAAKFbc2v/xBdtkkZwm/dLaH9IVBJkRI0Y4PS8oKND27du1YsUKjRkzprzqAgBA0v9a+1/cRyaSPjLQFQSZ4cOHl7r9jTfe0DfffPO7CwIA4GLdm0fp9qaRdPZFCVd0i4LS7N+/XzfffLPsdnt5nK7c0NkXAADzqZDOvpfy4YcfqlYtJlsBAICrx+1LS61atXKa7GsYhrKysvTLL79oxowZ5VocAADApbgdZO666y6nIOPj46M6deroD3/4g2JjY8u1OAAAgEsptzky3oo5MgAAmE+FzZHx9fXVsWPHSmw/fvy4fH193T0dAADAFXM7yJQ1gJOfn6+AgIDfXRAAAICrXJ4jM336dEmSxWLRW2+9perVqzv2FRYWau3atcyRAQAAV5XLQeaVV16RdH5EZtasWU6XkQICAtSwYUPNmjWr/CsEAAAog8tBJiMjQ5L0xz/+UR9//LFq1qxZYUUBAAC4wu3l16tXr66IOgAAANzmdpCRpMOHD2vZsmU6dOiQzp4967Rv6tSp5VIYAADA5bgdZNLS0vT//t//03XXXacffvhBzZs314EDB2QYhlq3bl0RNQIAAJTK7eXXKSkpGj16tHbu3KmgoCB99NFHyszMVOfOnXXPPfdURI0AAAClcjvIfP/99xowYIAkyc/PT7/99puqV6+u5557TpMnTy73AgEAAMridpAJCQlxzIuJiorSTz/95Nj366+/ll9lAAAAl+H2HJn27dtr/fr1atKkie644w498cQT2rlzpz7++GO1b9++ImoEAAAoldtBZurUqcrNzZUkTZgwQbm5uXr//ffVuHFjViwBAICryq0gU1hYqMOHD6tly5aSzl9mopsvAADwFLfmyPj6+qpbt246efJkRdUDAADgMrcn+zZv3lz79++viFoAAADc4naQmThxokaPHq3PPvtMR48eld1ud3oAAABcLRbDMAx3XuDj87/sY7FYHP9sGIYsFosKCwvLr7pyYLfbZbVaZbPZFBYW5ulyAACAC1z9/eamkQAAwLTcDjKdO3euiDoAAADc5vYcGUlat26d+vfvrw4dOujnn3+WJM2fP1/r168v1+IAAAAuxe0g89FHHykxMVHBwcHatm2b8vPzJUk2m00vvPBCuRcIAABQlitatTRr1izNmTNH/v7+ju3x8fHatm1buRYHAABwKW4HmT179qhTp04ltlutVuXk5JRHTQAAAC5xO8hERkZq3759JbavX79e1113XbkUBQAA4Aq3g8wjjzyi4cOHa9OmTbJYLDpy5IgWLlyo0aNH6/HHH3frXM8++6wsFovTIzY21rE/Ly9PycnJql27tqpXr66kpCRlZ2e7WzIAAKik3F5+PXbsWBUVFalr1646c+aMOnXqpMDAQI0ePVrDhg1zu4BmzZpp1apV/yvI738ljRw5Uv/617+0ZMkSWa1WDR06VH369NGGDRvcfh8AAFD5uN3Zt9jZs2e1b98+5ebmqmnTpqpevbrb53j22Wf1ySefaMeOHSX22Ww21alTR4sWLdLdd98tSfrhhx/UpEkTpaenq3379i69B519AQAwH1d/v6+oj4wkBQQEKDQ0VFFRUVcUYort3btX0dHRuu666/TAAw/o0KFDkqStW7eqoKBACQkJjmNjY2NVv359paenl3m+/Px87v8EAEAV4XaQOXfunMaNGyer1aqGDRuqYcOGslqt+vvf/66CggK3ztWuXTvNmzdPK1as0MyZM5WRkaHbbrtNp06dUlZWlgICAlSjRg2n10RERCgrK6vMc6ampspqtToe9erVc/cjAgAAk3B7jsywYcP08ccfa8qUKYqLi5Mkpaen69lnn9Xx48c1c+ZMl8/Vo0cPxz+3bNlS7dq1U4MGDfTBBx8oODjY3dIkSSkpKRo1apTjud1uJ8wAAFBJuR1kFi1apMWLF5cIIfXq1dN9993nVpC5WI0aNXTDDTdo3759uv3223X27Fnl5OQ4jcpkZ2crMjKyzHMEBgYqMDDwimsAAADm4falpcDAQDVs2LDE9piYGAUEBPyuYnJzc/XTTz8pKipKbdq0kb+/v9LS0hz79+zZo0OHDjlGggAAQNXmdpAZOnSonn/+ecc9lqTzE2wnTZqkoUOHunWu0aNHa82aNTpw4IC+/vpr/elPf5Kvr6/uu+8+Wa1WDRkyRKNGjdLq1au1detWDR48WHFxcS6vWAIAAJWb25eWtm/frrS0NF177bW66aabJEnffvutzp49q65du6pPnz6OYz/++ONLnuvw4cO67777dPz4cdWpU0cdO3bUxo0bVadOHUnSK6+8Ih8fHyUlJSk/P1+JiYmaMWOGuyUDAIBKyu0+MoMHD3b52Llz57pdUHmjjwwAAObj6u+32yMy3hBOAAAApN/REA8AAMDT3B6ROX78uJ555hmtXr1ax44dU1FRkdP+EydOlFtxAAAAl+J2kHnwwQe1b98+DRkyRBEREbJYLBVRFwAAwGW5HWTWrVun9evXO1YsAQAAeIrbc2RiY2P122+/VUQtAAAAbnE7yMyYMUNPP/201qxZo+PHj3OnaQAA4DFuX1qqUaOG7Ha7unTp4rTdMAxZLBYVFhaWW3EAAACX4naQeeCBB+Tv769FixYx2RcAAHiU20Fm165d2r59u2688caKqAcAAMBlbs+Radu2rTIzMyuiFgAAALe4PSIzbNgwDR8+XGPGjFGLFi3k7+/vtL9ly5blVhwAAMCluH3TSB+fkoM4FovFayf7ctNIAADMp8JuGpmRkfG7CgMAACgvbgeZBg0aVEQdAAAAbruiu1/Pnz9f8fHxio6O1sGDByVJ06ZN06efflquxQEAAFyK20Fm5syZGjVqlO644w7l5OQ45sTUqFFD06ZNK+/6AAAAyuR2kHnttdc0Z84cPf300/L19XVsb9u2rXbu3FmuxQEAAFyK20EmIyNDrVq1KrE9MDBQp0+fLpeiAAAAXOF2kImJidGOHTtKbF+xYoWaNGlSHjUBAAC4xOVVS88995xGjx6tUaNGKTk5WXl5eTIMQ5s3b9Y///lPpaam6q233qrIWgEAAJy43BDP19dXR48eVXh4uBYuXKhnn31WP/30kyQpOjpaEyZM0JAhQyq02CtBQzwAAMzH1d9vl4OMj4+PsrKyFB4e7th25swZ5ebmOm3zNgQZAADMp0I6+1osFqfn1apVU7Vq1a6sQgAAgN/JrSBzww03lAgzFztx4sTvKggAAMBVbgWZCRMmyGq1VlQtAAAAbnEryPTr18+r58MAAICqxeU+Mpe7pAQAAHC1uRxkXFzcBAAAcNW4fGmpqKioIusAAABwm9u3KAAAAPAWBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaXhNkXnzxRVksFo0YMcKxLS8vT8nJyapdu7aqV6+upKQkZWdne65IAADgVbwiyGzZskVvvvmmWrZs6bR95MiRWr58uZYsWaI1a9boyJEj6tOnj4eqBAAA3sbjQSY3N1cPPPCA5syZo5o1azq222w2vf3225o6daq6dOmiNm3aaO7cufr666+1ceNGD1YMAAC8hceDTHJysu68804lJCQ4bd+6dasKCgqctsfGxqp+/fpKT08v83z5+fmy2+1ODwAAUDn5efLNFy9erG3btmnLli0l9mVlZSkgIEA1atRw2h4REaGsrKwyz5mamqoJEyaUd6kAAMALeWxEJjMzU8OHD9fChQsVFBRUbudNSUmRzWZzPDIzM8vt3AAAwLt4LMhs3bpVx44dU+vWreXn5yc/Pz+tWbNG06dPl5+fnyIiInT27Fnl5OQ4vS47O1uRkZFlnjcwMFBhYWFODwAAUDl57NJS165dtXPnTqdtgwcPVmxsrP72t7+pXr168vf3V1pampKSkiRJe/bs0aFDhxQXF+eJkgEAgJfxWJAJDQ1V8+bNnbaFhISodu3aju1DhgzRqFGjVKtWLYWFhWnYsGGKi4tT+/btPVEyAADwMh6d7Hs5r7zyinx8fJSUlKT8/HwlJiZqxowZni4LAAB4CYthGIani6hIdrtdVqtVNpuN+TIAAJiEq7/fHu8jAwAAcKUIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLT8PF0AAKBiFRYZ2pxxQsdO5Sk8NEi3xtSSr4/F02UB5YIgAwCV2IpdRzVh+W4dteU5tkVZgzS+V1N1bx7lwcqA8sGlJQCopFbsOqrHF2xzCjGSlGXL0+MLtmnFrqMeqgwoPwQZAKiECosMTVi+W0Yp+4q3TVi+W4VFpR0BmAdBBgAqoc0ZJ0qMxFzIkHTUlqfNGSeuXlFABSDIAEAldOxU2SHmSo4DvBVBBgAqofDQoHI9DvBWBBkAqIRujamlKGuQylpkbdH51Uu3xtS6mmUB5Y4gAwCVkK+PReN7NZWkEmGm+Pn4Xk3pJwPTI8gAQCXVvXmUZvZvrUir8+WjSGuQZvZvTR8ZVAo0xAOAMlSGjrjdm0fp9qaRpv8cQFkIMgBQisrUEdfXx6K4RrU9XQZQIbi0BAAXoSMuYB4EGQC4AB1xAXMhyADABeiIC5gLQQYALkBHXMBcCDIAcAE64gLmQpABgAvQERcwF4IMAFyAjriAuRBkAOAidMQFzIOGeADKHR1xAVwtHh2RmTlzplq2bKmwsDCFhYUpLi5On3/+uWN/Xl6ekpOTVbt2bVWvXl1JSUnKzs72YMUALmfFrqPqOPlL3Tdno4Yv3qH75mxUx8lfmrKJXHFH3Lturqu4RrUJMYAX8miQufbaa/Xiiy9q69at+uabb9SlSxfddddd+u9//ytJGjlypJYvX64lS5ZozZo1OnLkiPr06ePJkgFcAh1xAVxtFsMwvKo9Za1atfTSSy/p7rvvVp06dbRo0SLdfffdkqQffvhBTZo0UXp6utq3b+/S+ex2u6xWq2w2m8LCwiqydKBKKywy1HHyl2U2k7Po/ByT9X/rwsgGgMty9ffbayb7FhYWavHixTp9+rTi4uK0detWFRQUKCEhwXFMbGys6tevr/T09DLPk5+fL7vd7vQAUPHoiAvAEzweZHbu3Knq1asrMDBQf/7zn7V06VI1bdpUWVlZCggIUI0aNZyOj4iIUFZWVpnnS01NldVqdTzq1atXwZ8AgERHXACe4fEgc+ONN2rHjh3atGmTHn/8cQ0cOFC7d+++4vOlpKTIZrM5HpmZmeVYLYCy0BEXgCd4fPl1QECArr/+eklSmzZttGXLFr366qu69957dfbsWeXk5DiNymRnZysyMrLM8wUGBiowMLCiywZwkeKOuFm2vFLvHF08R4aOuADKk8dHZC5WVFSk/Px8tWnTRv7+/kpLS3Ps27Nnjw4dOqS4uDgPVgigNHTEBeAJHh2RSUlJUY8ePVS/fn2dOnVKixYt0ldffaUvvvhCVqtVQ4YM0ahRo1SrVi2FhYVp2LBhiouLc3nFEoCrq7gj7oTlu50m/kZagzS+V1M64gIodx4NMseOHdOAAQN09OhRWa1WtWzZUl988YVuv/12SdIrr7wiHx8fJSUlKT8/X4mJiZoxY4YnSwYqFB1xAcA9XtdHprzRRwZmsWLX0RIjGVGMZACookzXRwaoyuiICwBXhiADeFhhkaEJy3eXutKneNuE5btVWFSpB08B4IoQZAAPoyMuAFw5ggzgYXTEBYArR5ABPIyOuABw5QgygIcVd8Qta3GyRedXL9ERFwBKIsgAHkZHXAC4cgQZwAsUd8SNtDpfPoq0Bmlm/9b0kQGAMnj8ppEAzqMjLgC4jyCDSqEytPaXzl9mimtU29NlAIBpEGRgerT2B4CqizkyMDVa+wNA1UaQgWnR2h8AQJCBadHaHwBAkIFp0dofAECQgWnR2h8AQJCBadHaHwBAkIFp0dofAECQganR2h8AqjYa4lVxlaEjLq39AaDqIshUYZWpIy6t/QGgauLSUhVFR1wAQGVAkKmC6IgLAKgsCDJVEB1xAQCVBUGmCqIjLgCgsiDIVEF0xAUAVBYEmSqIjrgAgMqCIFMF0REXAFBZEGSqKDriAgAqAxriXYHK0A1XoiMuAMD8CDJuqkzdcCU64gIAzI1LS26gGy4AAN6FIOMiuuECAOB9CDIuohsuAADehyDjIrrhAgDgfQgyLqIbLgAA3ocg4yK64QIA4H0IMi6iGy4AAN6HIOMGuuECAOBdaIjnJrrhAgDgPTw6IpOamqpbbrlFoaGhCg8PV+/evbVnzx6nY/Ly8pScnKzatWurevXqSkpKUnZ2tocqPq+4G+5dN9dVXKPahBgAADzEo0FmzZo1Sk5O1saNG7Vy5UoVFBSoW7duOn36tOOYkSNHavny5VqyZInWrFmjI0eOqE+fPh6sGgAAeAuLYRhe04r2l19+UXh4uNasWaNOnTrJZrOpTp06WrRoke6++25J0g8//KAmTZooPT1d7du3v+w57Xa7rFarbDabwsLCKvojAACAcuDq77dXTfa12WySpFq1zi9h3rp1qwoKCpSQkOA4JjY2VvXr11d6enqp58jPz5fdbnd6AACAyslrgkxRUZFGjBih+Ph4NW/eXJKUlZWlgIAA1ahRw+nYiIgIZWVllXqe1NRUWa1Wx6NevXoVXToAAPAQrwkyycnJ2rVrlxYvXvy7zpOSkiKbzeZ4ZGZmllOFAADA23jF8uuhQ4fqs88+09q1a3Xttdc6tkdGRurs2bPKyclxGpXJzs5WZGRkqecKDAxUYGBgRZcMAAC8gEdHZAzD0NChQ7V06VJ9+eWXiomJcdrfpk0b+fv7Ky0tzbFtz549OnTokOLi4q52uQAAwMt4dEQmOTlZixYt0qeffqrQ0FDHvBer1arg4GBZrVYNGTJEo0aNUq1atRQWFqZhw4YpLi7OpRVLAACgcvPo8muLpfRGcnPnztWgQYMknW+I98QTT+if//yn8vPzlZiYqBkzZpR5aeliLL8GAMB8XP399qo+MhXBZrOpRo0ayszMJMgAAGASdrtd9erVU05OjqxWa5nHecVk34p06tQpSWIZNgAAJnTq1KlLBplKPyJTVFSkI0eOKDQ0tMxLWVVdcepl1Mo78H14F74P78L34V0q8vswDEOnTp1SdHS0fHzKXptU6UdkfHx8nJZ0o2xhYWH8h8GL8H14F74P78L34V0q6vu41EhMMa9piAcAAOAuggwAADAtggwUGBio8ePH0xHZS/B9eBe+D+/C9+FdvOH7qPSTfQEAQOXFiAwAADAtggwAADAtggwAADAtggwAADAtgkwVlZqaqltuuUWhoaEKDw9X7969tWfPHk+Xhf/z4osvymKxaMSIEZ4upUr7+eef1b9/f9WuXVvBwcFq0aKFvvnmG0+XVSUVFhZq3LhxiomJUXBwsBo1aqTnn39erFe5OtauXatevXopOjpaFotFn3zyidN+wzD0zDPPKCoqSsHBwUpISNDevXuvSm0EmSpqzZo1Sk5O1saNG7Vy5UoVFBSoW7duOn36tKdLq/K2bNmiN998Uy1btvR0KVXayZMnFR8fL39/f33++efavXu3Xn75ZdWsWdPTpVVJkydP1syZM/X666/r+++/1+TJkzVlyhS99tprni6tSjh9+rRuuukmvfHGG6XunzJliqZPn65Zs2Zp06ZNCgkJUWJiovLy8iq8NpZfQ5L0yy+/KDw8XGvWrFGnTp08XU6VlZubq9atW2vGjBmaOHGibr75Zk2bNs3TZVVJY8eO1YYNG7Ru3TpPlwJJPXv2VEREhN5++23HtqSkJAUHB2vBggUerKzqsVgsWrp0qXr37i3p/GhMdHS0nnjiCY0ePVqSZLPZFBERoXnz5qlfv34VWg8jMpB0/l86SapVq5aHK6nakpOTdeeddyohIcHTpVR5y5YtU9u2bXXPPfcoPDxcrVq10pw5czxdVpXVoUMHpaWl6ccff5Qkffvtt1q/fr169Ojh4cqQkZGhrKwsp/9uWa1WtWvXTunp6RX+/pX+ppG4vKKiIo0YMULx8fFq3ry5p8upshYvXqxt27Zpy5Ytni4Fkvbv36+ZM2dq1KhReuqpp7Rlyxb99a9/VUBAgAYOHOjp8qqcsWPHym63KzY2Vr6+viosLNSkSZP0wAMPeLq0Ki8rK0uSFBER4bQ9IiLCsa8iEWSg5ORk7dq1S+vXr/d0KVVWZmamhg8frpUrVyooKMjT5UDnA37btm31wgsvSJJatWqlXbt2adasWQQZD/jggw+0cOFCLVq0SM2aNdOOHTs0YsQIRUdH831UcVxaquKGDh2qzz77TKtXr9a1117r6XKqrK1bt+rYsWNq3bq1/Pz85OfnpzVr1mj69Ony8/NTYWGhp0uscqKiotS0aVOnbU2aNNGhQ4c8VFHVNmbMGI0dO1b9+vVTixYt9OCDD2rkyJFKTU31dGlVXmRkpCQpOzvbaXt2drZjX0UiyFRRhmFo6NChWrp0qb788kvFxMR4uqQqrWvXrtq5c6d27NjheLRt21YPPPCAduzYIV9fX0+XWOXEx8eXaEnw448/qkGDBh6qqGo7c+aMfHycf7J8fX1VVFTkoYpQLCYmRpGRkUpLS3Nss9vt2rRpk+Li4ir8/bm0VEUlJydr0aJF+vTTTxUaGuq4jmm1WhUcHOzh6qqe0NDQEvOTQkJCVLt2beYtecjIkSPVoUMHvfDCC+rbt682b96s2bNna/bs2Z4urUrq1auXJk2apPr166tZs2bavn27pk6dqoceesjTpVUJubm52rdvn+N5RkaGduzYoVq1aql+/foaMWKEJk6cqMaNGysmJkbjxo1TdHS0Y2VThTJQJUkq9TF37lxPl4b/07lzZ2P48OGeLqNKW758udG8eXMjMDDQiI2NNWbPnu3pkqosu91uDB8+3Khfv74RFBRkXHfddcbTTz9t5Ofne7q0KmH16tWl/mYMHDjQMAzDKCoqMsaNG2dEREQYgYGBRteuXY09e/ZcldroIwMAAEyLOTIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAvMagQYNksVhksVjk7++viIgI3X777XrnnXe4pw6AUhFkAHiV7t276+jRozpw4IA+//xz/fGPf9Tw4cPVs2dPnTt3ztPlAfAyBBkAXiUwMFCRkZGqW7euWrduraeeekqffvqpPv/8c82bN0+SNHXqVLVo0UIhISGqV6+e/vKXvyg3N1eSdPr0aYWFhenDDz90Ou8nn3yikJAQnTp16mp/JAAViCADwOt16dJFN910kz7++GNJko+Pj6ZPn67//ve/evfdd/Xll1/qySeflHT+ruH9+vXT3Llznc4xd+5c3X333QoNDb3q9QOoONw0EoDXGDRokHJycvTJJ5+U2NevXz9999132r17d4l9H374of785z/r119/lSRt3rxZHTp0UGZmpqKionTs2DHVrVtXq1atUufOnSv6YwC4ihiRAWAKhmHIYrFIklatWqWuXbuqbt26Cg0N1YMPPqjjx4/rzJkzkqRbb71VzZo107vvvitJWrBggRo0aKBOnTp5rH4AFYMgA8AUvv/+e8XExOjAgQPq2bOnWrZsqY8++khbt27VG2+8IUk6e/as4/iHH37YMadm7ty5Gjx4sCMIAag8CDIAvN6XX36pnTt3KikpSVu3blVRUZFefvlltW/fXjfccIOOHDlS4jX9+/fXwYMHNX36dO3evVsDBw70QOUAKpqfpwsAgAvl5+crKytLhYWFys7O1ooVK5SamqqePXtqwIAB2rVrlwoKCvTaa6+pV69e2rBhg2bNmlXiPDVr1lSfPn00ZswYdevWTddee60HPg2AisaIDACvsmLFCkVFRalhw4bq3r27Vq9erenTp+vTTz+Vr6+vbrrpJk2dOlWTJ09W8+bNtXDhQqWmppZ6riFDhujs2bN66KGHrvKnAHC1sGoJQKU1f/58jRw5UkeOHFFAQICnywFQAbi0BKDSOXPmjI4ePaoXX3xRjz32GCEGqMS4tASg0pkyZYpiY2MVGRmplJQUT5cDoAJxaQkAAJgWIzIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0CDIAAMC0/j+GukkDVQ6EtwAAAABJRU5ErkJggg==","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.scatter(days, temperature)\n","plt.title('Temperature Over a Week')\n","plt.xlabel('Day')\n","plt.ylabel('Temperature (°C)')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":689,"status":"ok","timestamp":1701526800073,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"ErLR7ALS5dD6","outputId":"cf9b8c33-3bc0-4173-a1eb-44ae5c0eae81"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.bar(days, temperature)\n","plt.title('Temperature Over a Week')\n","plt.xlabel('Day')\n","plt.ylabel('Temperature (°C)')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"81msJ1wV53CN"},"outputs":[],"source":["#Histogram - It is useful for showing the distribution of a dataset"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"mj9NCjQy6CDe"},"outputs":[],"source":["grades = [72, 85, 65, 90, 75, 80, 78, 68, 94, 77]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":482},"executionInfo":{"elapsed":870,"status":"ok","timestamp":1701527063228,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"4-SfrzgY6DE5","outputId":"8251b31d-9799-4d3e-8d37-e2e10ce623ae"},"outputs":[{"data":{"text/plain":["(array([1., 1., 1., 1., 2., 1., 1., 0., 1., 1.]),\n"," array([65. , 67.9, 70.8, 73.7, 76.6, 79.5, 82.4, 85.3, 88.2, 91.1, 94. ]),\n"," <BarContainer object of 10 artists>)"]},"execution_count":55,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.hist(grades, bins=10, edgecolor='black')\n","\n","# bins means - it specifies how many such intervals you want to divide your data into.."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"CRFRxGnu6w5a"},"outputs":[],"source":["#Customization..."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":447},"executionInfo":{"elapsed":1073,"status":"ok","timestamp":1701527126879,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"wGJzPkXo6y0-","outputId":"868aff2d-9a64-4d1f-f5d1-1fc10da586ea"},"outputs":[{"data":{"text/plain":["[<matplotlib.lines.Line2D at 0x7ca99c80a4d0>]"]},"execution_count":56,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(days, temperature, color='red', marker='o', linestyle='--', linewidth=2)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":746,"status":"ok","timestamp":1701527188028,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"CAfI_UmJ66_Q","outputId":"a9f5970c-54a9-436e-ccce-288647381d0c"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(days, temperature, color='green', marker='X', linestyle='--', linewidth=2)\n","plt.title('Temperature Over a Week')\n","plt.xlabel('Day')\n","plt.ylabel('Temperature (°C)')\n","plt.grid(True)\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"i90IN7RZ7Zt8"},"outputs":[],"source":["# if you want to save this graph as .png and share to someone else\n","# then you need to use the plt.savefig().\n","# And it will be saved in file section from there you can abel to share it.."]},{"cell_type":"code","execution_count":62,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":927,"status":"ok","timestamp":1701527607401,"user":{"displayName":"Alataf Ansari","userId":"18078772647020577934"},"user_tz":-330},"id":"j99l4AKd7xR-","outputId":"77771ad3-534b-4a6e-9033-9e2bd75b999d"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjIAAAHHCAYAAACle7JuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABf4ElEQVR4nO3deVhUZf8/8PcAw7CDomwKioqhKKLgo4iBC4KaPpqkuZXb0/Zgj0vaL1NERDOtFC2XLKMyl9zbVSTFFRUEl9wVVxaVZBcYmPP7gy8T44AyynBmmPfrurguzjKH98xN8uk+930fiSAIAoiIiIj0kJHYAYiIiIieFQsZIiIi0lssZIiIiEhvsZAhIiIivcVChoiIiPQWCxkiIiLSWyxkiIiISG+xkCEiIiK9xUKGiIiI9BYLGSIiqhMHDhyARCLBtm3bxI5CBoSFDFEVEomkVl8HDhwQO6poVq1ahW+//VbsGDUSBAHr169HYGAg7OzsYGFhgY4dO2L+/PkoLCwUO16duXfvHiQSCaZMmaJ2bMqUKZBIJIiMjFQ79vrrr0MqlaKoqKg+YhJpnYnYAYh0yfr161W2v//+e8TFxantb9euXX3G0imrVq1CkyZNMH78eLGjqCkvL8fo0aOxZcsWvPjii5g3bx4sLCxw6NAhREVFYevWrdi3bx8cHR3FjvrcHBwc4OHhgcOHD6sdO3LkCExMTHDkyJFqj3Xu3BkWFhb1EZNI61jIEFUxduxYle3ExETExcWp7W8oBEFAcXExzM3NG0SOJUuWYMuWLZgxYwY++eQT5f4333wTI0aMwNChQzF+/Hj88ccfzxtZI0VFRVopHHr27Invv/8eBQUFsLKyAgAUFhbi9OnTGDFiBH7++WeUl5fD2NgYAJCRkYHr169jyJAhdZ6FSCy8tUSkIYVCgZiYGHh5ecHMzAyOjo5466238PDhQ5XzWrZsiUGDBuHAgQPw8/ODubk5OnbsqLwttWPHDnTs2BFmZmbw9fVFSkqKyuvHjx8PKysrXL9+HaGhobC0tISLiwvmz5+Pxx9ar2mmPXv2KDN9+eWXAIDY2Fj06dMHDg4OkMlkaN++PVavXq32+r/++gsJCQnK22y9evUCAMybNw8SiUTt8/r2228hkUhw48aNWuXIycnB1KlT4erqCplMhjZt2mDx4sVQKBRPbJdHjx7hk08+Qdu2bbFo0SK144MHD8a4ceOwe/duJCYmAgAGDRqEVq1aVXs9f39/+Pn5qez74Ycf4OvrC3NzczRu3BgjR47E7du3Vc7p1asXOnTogOTkZAQGBsLCwgIffvhhjbnPnDmD8ePHo1WrVjAzM4OTkxMmTpyI7OzsJ75foKKQKS8vV74fADh+/DjKysowY8YMFBQUIDU1VXmssoemZ8+eKuf3798ftra2sLCwQFBQULU9OXfv3sXEiRPh6OgImUwGLy8vfPPNN0/NWFJSgkGDBsHW1hZHjx596vlEmmIhQ6Sht956CzNnzkRAQACWL1+OCRMmYMOGDQgNDYVcLlc59+rVqxg9ejQGDx6MRYsW4eHDhxg8eDA2bNiAadOmYezYsYiKisK1a9cwYsQItT/W5eXl6N+/PxwdHbFkyRL4+voiMjJSbeyDJpkuXbqEUaNGoV+/fli+fDl8fHwAAKtXr0aLFi3w4Ycf4rPPPoOrqyv++9//YuXKlcrXxsTEoHnz5vD09MT69euxfv16zJ49+5k+x+pyFBUVISgoCD/88ANef/11rFixAgEBAZg1axamT5/+xOsdPnwYDx8+xOjRo2FiUn1n8+uvvw4A+PXXXwEAr776KtLS0nDy5EmV827evInExESMHDlSuW/hwoV4/fXX4eHhgaVLl2Lq1KmIj49HYGAgcnJyVF6fnZ2NAQMGwMfHBzExMejdu3eNuePi4nD9+nVMmDABn3/+OUaOHInNmzdj4MCBagXr4yoLkqq3l44cOYK2bduic+fOaN68uUpR8ngh8+effyIwMBB5eXmIjIzERx99hJycHPTp0wcnTpxQvi4rKwvdu3fHvn37MHnyZCxfvhxt2rTBpEmTEBMTU2O+R48eYfDgwTh69Cj27duHHj16PPH9ED0TgYhqFB4eLlT9z+TQoUMCAGHDhg0q5+3evVttf4sWLQQAwtGjR5X79uzZIwAQzM3NhZs3byr3f/nllwIAYf/+/cp948aNEwAI7777rnKfQqEQXnrpJcHU1FS4f//+M2favXu32nstKipS2xcaGiq0atVKZZ+Xl5cQFBSkdm5kZKRQ3T8psbGxAgAhLS3tqTmio6MFS0tL4fLlyyr7P/jgA8HY2Fi4deuW2vUrxcTECACEnTt31njO33//LQAQhg0bJgiCIOTm5goymUx47733VM5bsmSJIJFIlG1048YNwdjYWFi4cKHKeWfPnhVMTExU9gcFBQkAhDVr1tSYo6rqPvdNmzYJAISDBw8+9fUODg5C3759lduhoaHChAkTBEEQhBEjRgjDhw9XHvPz8xM8PDwEQaj4XfLw8BBCQ0MFhUKhksfd3V3o16+fct+kSZMEZ2dn4cGDByo/e+TIkYKtra3yPezfv18AIGzdulXIz88XgoKChCZNmggpKSm1+CSIng17ZIg0sHXrVtja2qJfv3548OCB8svX1xdWVlbYv3+/yvnt27eHv7+/crtbt24AgD59+sDNzU1t//Xr19V+5uTJk5XfSyQSTJ48GaWlpdi3b98zZXJ3d0doaKjaz6k6PiU3NxcPHjxAUFAQrl+/jtzc3Fp/RrVVXY6tW7fixRdfRKNGjVTeS3BwMMrLy3Hw4MEar5efnw8AsLa2rvGcymN5eXkAABsbGwwYMABbtmxR6f348ccf0b17d2Ub7dixAwqFAiNGjFDJ5eTkBA8PD7XPWCaTYcKECbX6HKp+7sXFxXjw4AG6d+8OADh16tRTXx8QEIDjx4+jvLwcCoUCiYmJyp6PgIAAZS9MUVERUlNTlb0xqampuHLlCkaPHo3s7GzleyosLETfvn1x8OBBKBQKCIKA7du3Y/DgwRAEQeX9h4aGIjc3Vy1nbm4uQkJCcPHiRRw4cEDZ60ekDRzsS6SBK1euIDc3Fw4ODtUev3fvnsp21WIFAGxtbQEArq6u1e5/fEyLkZGR2hiOtm3bAoByzImmmdzd3as978iRI4iMjMSxY8fUpubm5uYqM9aV6nJcuXIFZ86cQdOmTat9zePvparKIqWyoKlOdcXOq6++il27duHYsWPo0aMHrl27huTkZJVbJleuXIEgCPDw8Kj2ulKpVGW7WbNmMDU1rTFHVX///TeioqKwefNmtfdXmwKyZ8+e2LlzJ1JTUyGVSpGbm4uAgAAAQI8ePZCeno4bN24gLS0NZWVlykLmypUrAIBx48bVeO3c3FzI5XLk5ORg7dq1WLt2bbXnPZ576tSpKC4uRkpKCry8vJ76HoieBwsZIg0oFAo4ODhgw4YN1R5//A9w5WyRx9W0X3jKmIi6yFTdzKBr166hb9++8PT0xNKlS+Hq6gpTU1P8/vvvWLZs2VMH2gKodqAvUDHOpzrV5VAoFOjXrx/ef//9al9TWcRVp3JK/JkzZzB06NBqzzlz5gyAip6ySoMHD4aFhQW2bNmCHj16YMuWLTAyMsLw4cNVckkkEvzxxx/Vtl3ljKEnvbeajBgxAkePHsXMmTPh4+MDKysrKBQK9O/fv1afe9VxMqampmjcuDE8PT0BAD4+PrCwsMDhw4eRlpamcn7ltT/55JMae0ysrKyUg47Hjh1bY9Hj7e2tsj1kyBBs3rwZH3/8Mb7//nsYGbHzn7SHhQyRBlq3bo19+/YhICCgXqYsKxQKXL9+XeUP+OXLlwFUzPypq0y//PILSkpK8PPPP6v0Ij1+ywSouWBp1KgRgIpZR3Z2dsr9N2/erHWO1q1bo6CgAMHBwbV+TaWePXvCzs4OGzduxOzZs6stOL7//nsAFbOVKllaWmLQoEHYunUrli5dih9//BEvvvgiXFxcVHIJggB3d/cnFlOaevjwIeLj4xEVFYW5c+cq91f2ltRGly5dlMWKTCaDv7+/so1MTEzQtWtXHDlyBGlpaXBwcFDmb926NYCK22tP+rybNm0Ka2trlJeX17pdhg4dipCQEIwfPx7W1tZqs9+I6hLLZCINjBgxAuXl5YiOjlY7VlZWpjZ7pS588cUXyu8FQcAXX3wBqVSKvn371lmmyj/6VXuEcnNzERsbq3aupaVltdes/MNYdRxLYWEhvvvuu6f+/EojRozAsWPHsGfPHrVjOTk5KCsrq/G1FhYWmDFjBi5dulTtTKrffvsN3377LUJDQ5VjUCq9+uqrSE9Px9dff43Tp0/j1VdfVTk+bNgwGBsbIyoqSq3XTBCEWk2Vrk51nzuAJ84EepyJiQm6deuGI0eO4MiRI2ozg3r06IGDBw8iMTFRecsJAHx9fdG6dWt8+umnKCgoULvu/fv3lRnDwsKwfft2nDt3rsbzHlc562zNmjX4f//v/9X6/RBpij0yRBoICgrCW2+9hUWLFiE1NRUhISGQSqW4cuUKtm7diuXLl+OVV16ps59nZmaG3bt3Y9y4cejWrRv++OMP/Pbbb/jwww+Vt4zqIlNISAhMTU0xePBgvPXWWygoKMBXX30FBwcHZGRkqJzr6+uL1atXY8GCBWjTpg0cHBzQp08fhISEwM3NDZMmTcLMmTNhbGyMb775Bk2bNsWtW7dq9X5nzpyJn3/+GYMGDcL48ePh6+uLwsJCnD17Ftu2bcONGzfQpEmTGl//wQcfICUlBYsXL8axY8cQFhYGc3NzHD58GD/88APatWtXbWE1cOBAWFtbY8aMGco/3FW1bt0aCxYswKxZs3Djxg0MHToU1tbWSEtLw86dO/Hmm29ixowZtXqPVdnY2CAwMBBLliyBXC5Hs2bNsHfvXuVtoNrq2bOnsvesarECVBQylevqVF0/xsjICF9//TUGDBgALy8vTJgwAc2aNcPdu3exf/9+2NjY4JdffgEAfPzxx9i/fz+6deuGN954A+3bt8fff/+NU6dOYd++ffj777+rzTV58mTk5eVh9uzZsLW1feJ6OkTPTKTZUkR64fHp15XWrl0r+Pr6Cubm5oK1tbXQsWNH4f333xfS09OV57Ro0UJ46aWX1F4LQAgPD1fZl5aWJgAQPvnkE+W+cePGCZaWlsK1a9eEkJAQwcLCQnB0dBQiIyOF8vLyOs0kCILw888/C97e3oKZmZnQsmVLYfHixcI333yjNnU6MzNTeOmllwRra2sBgMpU7OTkZKFbt26Cqamp4ObmJixdurTG6dc15cjPzxdmzZoltGnTRjA1NRWaNGki9OjRQ/j000+F0tLSal9TVXl5uRAbGysEBAQINjY2gpmZmeDl5SVERUUJBQUFNb5uzJgxAgAhODi4xnO2b98u9OzZU7C0tBQsLS0FT09PITw8XLh06ZLynKCgIMHLy+upOSvduXNHePnllwU7OzvB1tZWGD58uJCeni4AECIjI2t1jcpp/SYmJkJhYaHKsezsbEEikQgAhOPHj6u9NiUlRRg2bJhgb28vyGQyoUWLFsKIESOE+Ph4lfOysrKE8PBwwdXVVZBKpYKTk5PQt29fYe3atcpzqk6/rur9998XAAhffPFFLT8VotqTCMIzjC4kIq0bP348tm3bVm23PxERVeAYGSIiItJbLGSIiIhIb7GQISIiIr3FMTJERESkt9gjQ0RERHqLhQwRERHprQa/IJ5CoUB6ejqsra1rXFqdiIiIdIsgCMjPz4eLi8sTn9fV4AuZ9PR0tScNExERkX64ffs2mjdvXuPxBl/IWFtbA6j4IGxsbEROo5vkcjn27t2rXNqexMX20C1sD93C9tAt2myPvLw8uLq6Kv+O10TUQiY/Px8RERHYuXMn7t27h86dO2P58uXo2rUrgIpupcjISHz11VfIyclBQEAAVq9eDQ8Pj1r/jMrbSTY2NixkaiCXy2FhYQEbGxv+w6AD2B66he2hW9geuqU+2uNpw0JEHez7n//8B3FxcVi/fj3Onj2LkJAQBAcH4+7duwCAJUuWKJ+eevz4cVhaWiI0NBTFxcVixiYiIiIdIVoh8+jRI2zfvh1LlixBYGAg2rRpg3nz5qFNmzZYvXo1BEFATEwM5syZgyFDhsDb2xvff/890tPTsWvXLrFiExERkQ4RrZApKytDeXk5zMzMVPabm5vj8OHDSEtLQ2ZmJoKDg5XHbG1t0a1bNxw7dqy+4xIREZEOEm2MjLW1Nfz9/REdHY127drB0dERmzZtwrFjx9CmTRtkZmYCABwdHVVe5+joqDxWnZKSEpSUlCi38/LyAFTcx5PL5Vp4J/qv8nPh56Mb2B66he2hW9geukWb7VHba4o62Hf9+vWYOHEimjVrBmNjY3Tp0gWjRo1CcnLyM19z0aJFiIqKUtu/d+9eWFhYPE/cBi8uLk7sCFQF20O3sD10C9tDt2ijPYqKimp1nk48a6mwsBB5eXlwdnbGq6++ioKCAnz++edo3bo1UlJS4OPjozw3KCgIPj4+WL58ebXXqq5HxtXVFQ8ePOCspRrI5XLExcWhX79+nAWgA9geuoXtoVvYHrpFm+2Rl5eHJk2aIDc394l/v3ViHRlLS0tYWlri4cOH2LNnD5YsWQJ3d3c4OTkhPj5eWcjk5eXh+PHjeOedd2q8lkwmg0wmU9svlUr5S/8U/Ix0C9tDt7A9dAvbQ7dooz1qez1RC5k9e/ZAEAS88MILuHr1KmbOnAlPT09MmDABEokEU6dOxYIFC+Dh4QF3d3dERETAxcUFQ4cOFTM2ERER6QhRC5nc3FzMmjULd+7cQePGjREWFoaFCxcqq7D3338fhYWFePPNN5GTk4OePXti9+7dajOdiIiIyDCJWsiMGDECI0aMqPG4RCLB/PnzMX/+/HpMRURERPpC1JV9iYiISP9EJ0TDKMoIHx3+CACw8PBCGEUZITohut6z6MRgXyIiItIP0QnRmHtgLgBg3sF58LbyxpmCMwCg3B8RFFFvedgjQ0RERLUWeSBSZbuyiKnpuLaxkCEiIqJai+qlvuhsVfN71++4VhYyREREVGsRQRHo69632mPBrYIxJ3BOveZhIUNERES1Fp0Qjfi0+GqP7bu+DwsOLqjXPCxkiIiIqNaeNgZm7v659ZSkAgsZIiIiqrXHx8g0kTZ54nFtYyFDREREtRYRFIHWjVort2e2nInIwEhIIMH8XvPrdeo1wHVkiIiISANZBVlIy0kDALjbuaOtRVu81PMlzOs9T5Q87JEhIiKiWtvy1xYoBAUA4NX2r0IikYiahz0yREREVGvjfcbDzswOG89txEivkbhx8oaoeVjIEBERUa1Zy6zxWqfX8Fqn1yCXy3EDN0TNw1tLREREpLdYyBAREZHeYiFDRERET3Um6wzG7RqHPVf3oExRJnYcJRYyRERE9FQ/nPkB35/+Hv039EdsSqzYcZRYyBAREdETKQQFNp3bBAAwMTLBy+1eFjnRP1jIEBER0RMdvnUYd/LuAABCW4eiiUWTp7yi/rCQISIioifaeHaj8vvRHUeLmEQdCxkiIiKqUWl5Kbae3woAsJBa4N8v/FvkRKpYyBAREVGN4q7F4e9HfwMAhrwwBFamViInUsVChoiIiGq08Zzu3lYCWMgQERFRDQpLC7Hr4i4AQGPzxghpHSJuoGqwkCEiIqJq7bm2B0XyIgDA8PbDYWpsKnIidXxoJBEREVXrZc+Xcfw/x7Hx7EaM7DBS7DjVYiFDRERE1ZJIJPhXs3/hX83+JXaUGvHWEhEREektFjJERESkt1jIEBERkYrbubfhv84fK46vQGZBpthxnohjZIiIiEjF5nObkXgnEYl3EpFXkoc5gXPEjlQj9sgQERGRiqqL4I3qMErEJE/HQoaIiIiUzt8/j9TMVABAt2bd0Lpxa3EDPQULGSIiIlLadHaT8ntdfCTB41jIEBEREQBAEATlbSUjiRFGeI0QOdHTsZAhIiIiAMCJuydw/eF1AEBf975wsnISOdHTsZAhIiIiAMDGs/ozyLcSCxkiIiJCmaIMP/71IwBAZizDsHbDRE5UOyxkiIiICGeyzuBB0QMAwEttX4Ktma3IiWqHC+IRERERujh3QcZ7Gdh2fhvaNW0ndpxaE7VHpry8HBEREXB3d4e5uTlat26N6OhoCIKgPEcQBMydOxfOzs4wNzdHcHAwrly5ImJqIiKihqmpZVO80/Ud9GrZS+wotSZqIbN48WKsXr0aX3zxBS5cuIDFixdjyZIl+Pzzz5XnLFmyBCtWrMCaNWtw/PhxWFpaIjQ0FMXFxSImJyIiIl0g6q2lo0ePYsiQIXjppZcAAC1btsSmTZtw4sQJABW9MTExMZgzZw6GDBkCAPj+++/h6OiIXbt2YeTIkaJlJyIiaigEQYBEIhE7xjMRtUemR48eiI+Px+XLlwEAp0+fxuHDhzFgwAAAQFpaGjIzMxEcHKx8ja2tLbp164Zjx46JkpmIiKghySnOgVuMG8J/C8eJuyfEjqMxUXtkPvjgA+Tl5cHT0xPGxsYoLy/HwoULMWbMGABAZmbFo8MdHR1VXufo6Kg89riSkhKUlJQot/Py8gAAcrkccrlcG29D71V+Lvx8dAPbQ7ewPXQL26PubTu3DXfy7mBV0ioYwQidHTrX+rXabI/aXlPUQmbLli3YsGEDNm7cCC8vL6SmpmLq1KlwcXHBuHHjnumaixYtQlRUlNr+vXv3wsLC4nkjN2hxcXFiR6Aq2B66he2hW9gedeeLq18ov3fLdcPvv/+u8TW00R5FRUW1Ok8iVJ0iVM9cXV3xwQcfIDw8XLlvwYIF+OGHH3Dx4kVcv34drVu3RkpKCnx8fJTnBAUFwcfHB8uXL1e7ZnU9Mq6urnjw4AFsbGy0+n70lVwuR1xcHPr16wepVCp2HIPH9tAtbA/dwvaoWxkFGXD/3B0KQYFWdq1w4Z0LGo2V0WZ75OXloUmTJsjNzX3i329Re2SKiopgZKQ6TMfY2BgKhQIA4O7uDicnJ8THxysLmby8PBw/fhzvvPNOtdeUyWSQyWRq+6VSKX/pn4KfkW5he+gWtoduYXvUjZ2XdkIhVPzNHd1xNExNTZ/pOtpoj9peT9RCZvDgwVi4cCHc3Nzg5eWFlJQULF26FBMnTgQASCQSTJ06FQsWLICHhwfc3d0REREBFxcXDB06VMzoREREeq/ySddARSGjj0QtZD7//HNERETgv//9L+7duwcXFxe89dZbmDt3rvKc999/H4WFhXjzzTeRk5ODnj17Yvfu3TAzMxMxORERkX67+vdV5SwlHycfvVrNtypRCxlra2vExMQgJiamxnMkEgnmz5+P+fPn118wIiKiBm7T2U3K70d30M/eGIAPjSQiIjI4giBgw9kNyu2RHfR3gVkWMkRERAYmqzALeSUV66wFtgiEq62ryImeHZ9+TUREZGCcrJxwe9ptHLhxAMZGxmLHeS4sZIiIiAyQsZEx+rbqK3aM58ZbS0RERKS3WMgQEREZkMLSQrEj1CkWMkRERAaitLwULZe3RPD3wdh4duPTX6AHWMgQEREZiD1X9+BB0QPEp8Xjtyu/iR2nTrCQISIiMhAqjyTQ40XwqmIhQ0REZAAKSgvw08WfAAD25vYIaR0icqK6wUKGiIjIAPx08Sc8KnsEABjefjikxg3j6eEsZIiIiAzApnNVnq2kp0+6rg4LGSIiogbuQdED7Lm2BwDgauOKALcAkRPVHRYyREREDdy289tQpigDAIzqMApGkobz57/hvBMiIiKqVtU1Y0Z1HCVikrrHQoaIiKgBKykrUfbAtGvSDp0cO4mcqG7xoZFEREQNmMxEhgPjD+BW7i3czbsLiUQidqQ6xUKGiIjIALjZusHN1k3sGHWOt5aIiIhIb7GQISIiaqBu596GQlCIHUOrWMgQERE1QIIgIPDbQLSMaYkP4z+EIAhiR9IKjpEhIiJqgBLvJOJGzg0AQHJGcoMb5FuJPTJEREQNUNW1YxrKk66rw0KGiIiogSlTlOHHv34EAMiMZXi53csiJ9IeFjJEREQNTPz1eNwvug8AGPzCYNjIbEROpD0sZIiIiBqYqk+6HtWhYT2S4HEsZIiIiBqQR/JH2HFhBwDARmaDgR4DRU6kXSxkiIiIGpDfrvyG/NJ8AEBYuzCYmZiJnEi7WMgQERE1ICqzlTo23NlKlbiODBERUQMhCAKaWTeDnZkdZMYy9G7ZW+xIWsceGSIiogZCIpHg84GfI/O9TOx7fR+MjYzFjqR1LGSIiIgaGJmJDB0cOogdo16wkCEiIiK9xUKGiIioAfjr3l94+Oih2DHqHQsZIiKiBmDCTxPg+Kkjhm4eikfyR2LHqTectURERKTnrmRfwcn0kwCAW7m3YC41FzlR/WGPDBERkZ6r+kgCQ1g7pioWMkRERHpMEATlIngSSDCyw0iRE9UvFjJERER6LCUzBZeyLwEAAlsEorlNc5ET1S8WMkRERHrM0B5J8DhRC5mWLVtCIpGofYWHhwMAiouLER4eDnt7e1hZWSEsLAxZWVliRiYiItIZ5Ypy5fgYqZEUYe3CRE5U/0QtZE6ePImMjAzlV1xcHABg+PDhAIBp06bhl19+wdatW5GQkID09HQMGzZMzMhEREQ649CtQ0jPTwcA9G/TH/YW9iInqn+iTr9u2rSpyvbHH3+M1q1bIygoCLm5uVi3bh02btyIPn36AABiY2PRrl07JCYmonv37mJEJiIi0hmGflsJ0KExMqWlpfjhhx8wceJESCQSJCcnQy6XIzg4WHmOp6cn3NzccOzYMRGTEhER6QZfZ190duoMS6klBrcdLHYcUejMgni7du1CTk4Oxo8fDwDIzMyEqakp7OzsVM5zdHREZmZmjdcpKSlBSUmJcjsvLw8AIJfLIZfL6zx3Q1D5ufDz0Q1sD93C9tAtbA9VEztNxMROE5FZkAlTiWm9fy7abI/aXlNnCpl169ZhwIABcHFxea7rLFq0CFFRUWr79+7dCwsLi+e6dkNXOUaJdAPbQ7ewPXQL20O3aKM9ioqKanWeThQyN2/exL59+7Bjxw7lPicnJ5SWliInJ0elVyYrKwtOTk41XmvWrFmYPn26cjsvLw+urq4ICQmBjY2NVvLrO7lcjri4OPTr1w9SqVTsOAaP7aFb2B66he2hW7TZHpV3VJ5GJwqZ2NhYODg44KWXXlLu8/X1hVQqRXx8PMLCKqaTXbp0Cbdu3YK/v3+N15LJZJDJZGr7pVIpf+mfgp+RbmF76Ba2h24x9PZITk+GkcQIPk4+kEgkYsfRSnvU9nqiFzIKhQKxsbEYN24cTEz+iWNra4tJkyZh+vTpaNy4MWxsbPDuu+/C39+fM5aIiMigReyPwB9X/4BnE0/se20fmtk0EzuSaEQvZPbt24dbt25h4sSJaseWLVsGIyMjhIWFoaSkBKGhoVi1apUIKYmIiHTD/cL72HttLwCgSF4EZ2tnkROJS/RCJiQkBIIgVHvMzMwMK1euxMqVK+s5FRERkW7aen4ryoVyAMCoDqNgJNGZlVREYdjvnoiISM9wETxVLGSIiIj0xM2cmzhy+wgAwKupFzo6dBQ5kfhYyBAREemJzec2K78f3XG0TsxYEhsLGSIiIj2x8dw/t5VGdRglYhLdwUKGiIhID5y7dw5nss4AAPyb+8O9kbvIiXQDCxkiIiI9sOnsJuX3HOT7DxYyREREeiC4VTBGdRgFG5kNhrcfLnYcnSH6OjJERET0dL3de6O3e2+UlJVAZqL+KB5DxR4ZIiIiPcIiRhULGSIiItJbLGSIiIh0WFJ6Ejaf24wieZHYUXQSCxkiIiIdtuL4CozaPgoOnzggKT1J7Dg6R6PBvhcuXMDmzZtx6NAh3Lx5E0VFRWjatCk6d+6M0NBQhIWFQSbjvTsiIqK6UCQvws6LOwEAJkYmfCRBNWrVI3Pq1CkEBwejc+fOOHz4MLp164apU6ciOjoaY8eOhSAImD17NlxcXLB48WKUlJRoOzcREVGD99vl31BQWgAAeKX9KxzoW41a9ciEhYVh5syZ2LZtG+zs7Go879ixY1i+fDk+++wzfPjhh3WVkYiIyCDxkQRPV6tC5vLly5BKpU89z9/fH/7+/pDL5c8djIiIyJA9fPQQv1/5HQDgZOWEXi17iRtIR9Xq1lJtipjnOZ+IiIhU7biwA6XlpQCAkV4jYWxkLHIi3VTrWUt//vkn2rdvj7y8PLVjubm58PLywqFDh+o0HBERkaGqeluJz1aqWa0LmZiYGLzxxhuwsbFRO2Zra4u33noLS5curdNwREREhig9Px370/YDANo0bgM/Fz+RE+muWhcyp0+fRv/+/Ws8HhISguTk5DoJRUREZMh+PPcjBAgAgNEdRkMikYicSHfVeh2ZrKysJ459MTExwf379+skFBERkSEb4jkEeSV52HhuI0Z15GylJ6l1j0yzZs1w7ty5Go+fOXMGzs7OdRKKiIjIkLVq1AqRvSJxMfwiPJt4ih1Hp9W6kBk4cCAiIiJQXFysduzRo0eIjIzEoEGD6jQcERGRIeMtpaer9a2lOXPmYMeOHWjbti0mT56MF154AQBw8eJFrFy5EuXl5Zg9e7bWghIRERE9rtaFjKOjI44ePYp33nkHs2bNgiBUDEKSSCQIDQ3FypUr4ejoqLWgREREDd3ZrLPYcWEHRnccDQ97D7Hj6AWNHhrZokUL/P7773j48CGuXr0KQRDg4eGBRo0aaSsfERGRwfg29VssTVyKeQnzsHX4VrzS/hWxI+k8jQqZSo0aNULXrl3rOgsREZHBKleUY/NfmwEAUiMp+rr3FTmRfqh1IVNcXIyYmBjk5ORgypQpnKFERERUhw7ePIj0/HQAwECPgWhkzrsdtVHrWUuTJk3ClStXYG9vj+DgYG1mIiIiMjgbz/KRBM+i1j0y+/fvR1xcHLy8vDB79mzcu3cPDg4O2sxGRERkEErKSrDtwjYAgJWpFQa15XImtVXrQiYoKAjLly9H27Zt4ebmxiKGiIiojuy+uhs5xTkAgKGeQ2EhtRA3kB6p9a2ldevWoWXLlsjKykJ8fLw2MxERERkUlSddd+BtJU3UukfGwsICH374oTazEBERGZz8knz8fOlnAEATiyYIbsVxqJqodY8MERER1b1dF3ehuKzi8T8j2o+A1LjmBzSTuloVMm+//Tbu3LlTqwv++OOP2LBhw3OFIiIiMhTD2g3DprBNGNx2MMZ4jxE7jt6p1a2lpk2bwsvLCwEBARg8eDD8/Pzg4uICMzMzPHz4EOfPn8fhw4exefNmuLi4YO3atdrOTURE1CBYmlpiZIeRGNlhpNhR9FKtCpno6GhMnjwZX3/9NVatWoXz58+rHLe2tkZwcDDWrl2L/v37ayUoERER0eM0emjk7NmzMXv2bDx8+BC3bt3Co0eP0KRJE7Ru3ZqPGiciIqJ698zPWuKDIomIiJ7djZwb+DD+Q4zuOBohrUNgamwqdiS9xFlLREREIth0dhM2nduEwZsGIyYxRuw4ekv0Qubu3bsYO3Ys7O3tYW5ujo4dOyIpKUl5XBAEzJ07F87OzjA3N0dwcDCuXLkiYmIiIqJnE50QDaMoIyw4uEBlEbzMgkwRU+k3UQuZhw8fIiAgAFKpFH/88QfOnz+Pzz77TOW21ZIlS7BixQqsWbMGx48fh6WlJUJDQ1FcXCxiciIiIs1EJ0Rj7oG5ECAgYn8Ezt07pzy2LHEZohOiRUynv55pjExdWbx4MVxdXREbG6vc5+7urvxeEATExMRgzpw5GDJkCADg+++/h6OjI3bt2oWRIzlVjYiI9EPkgcinHo8IiqinNA3HMxUyZWVlOHDgAK5du4bRo0fD2toa6enpsLGxgZWVVa2v8/PPPyM0NBTDhw9HQkICmjVrhv/+97944403AABpaWnIzMxEcPA/yzXb2tqiW7duOHbsWLWFTElJCUpKSpTbeXl5AAC5XA65XP4sb7fBq/xc+PnoBraHbmF76BZ9bQ9BEPBmlzfx5akvazwnMjBS796XNtujtteUCIIgaHLhmzdvon///rh16xZKSkpw+fJltGrVClOmTEFJSQnWrFlT62uZmZkBAKZPn47hw4fj5MmTmDJlCtasWYNx48bh6NGjCAgIQHp6OpydnZWvGzFiBCQSCX788Ue1a86bNw9RUVFq+zdu3AgLCz5NlIiItKtcKEd+WT7spHbKfYIg4PVzryO/PL/a13Sy6oSoNup/uwxZUVERRo8ejdzcXNjY2NR4nsY9MlOmTIGfnx9Onz4Ne3t75f6XX35Z2ZNSWwqFAn5+fvjoo48AAJ07d8a5c+eUhcyzmDVrFqZPn67czsvLg6urK0JCQp74QRgyuVyOuLg49OvXD1Ipn/EhNraHbmF76BZdaw+FoMDl7MtIzkzGqYxTSM5IRmpWKro6d0Xc2DiVcx1uOSD/YfWFzOmC00i1ScWHPfXr4czabI/KOypPo3Ehc+jQIRw9ehSmpqrz3Vu2bIm7d+9qdC1nZ2e0b99eZV+7du2wfft2AICTkxMAICsrS6VHJisrCz4+PtVeUyaTQSaTqe2XSqU68Uuvy/gZ6Ra2h25he+gWsdojqyAL+2/sR1J6EpLSk3Aq4xTyS9WLk1OZp2BsYgwjyT9zaq49vPbEa0cdjEJk7yePo9FV2miP2l5P41lLCoUC5eXlavvv3LkDa2trja4VEBCAS5cuqey7fPkyWrRoAaBi4K+TkxPi4+OVx/Py8nD8+HH4+/trGp2IiKhWBEHAjZwbyC9RLVISbiZg1PZR+OzYZ0i4mVBtEeNu547+bfqrvXZ+r/kq28GtglW2o3rx1tKz0LhHJiQkBDExMcoHQ0okEhQUFCAyMhIDBw7U6FrTpk1Djx498NFHH2HEiBE4ceIE1q5dq3LtqVOnYsGCBfDw8IC7uzsiIiLg4uKCoUOHahqdiIhIjSAIuJt/V9nLUvmV/SgbW17ZguFew5Xn+rn4qbzW1cYVfi5+yi9fZ1/YW9g//iMAQDkjKfJAJOb3no85gXMQnRCNyAORiOoVxRlLz0jjQubTTz9F//790b59exQXF2P06NG4cuUKmjRpgk2bNml0ra5du2Lnzp2YNWsW5s+fD3d3d8TExGDMmH8eY/7++++jsLAQb775JnJyctCzZ0/s3r1bOVCYiIhIU3HX4nDk9hFl0ZJVmFXteUnpSSqFjLudOxb2WQgfJx/4OvvC0cpRo58bERShUrA8vk2a07iQcXV1xenTp/Hjjz/i9OnTKCgowKRJkzBmzBiYm5trHGDQoEEYNGhQjcclEgnmz5+P+fPn13gOERFRdR4UPcCNnBtqPSkfHf4IB24cqPF1TS2aws/FD+2bqo7jlEgk+PBF/RqQ29BpVMjI5XJ4enri119/xZgxY1R6ToiIiLSl8hZMZGAkfOCDhYcXYv7B+Sq3ZB4+eohTGacqelkyKnpabuTcgL25Pe7PvA+JRKK8np+zn7KQaWTWSOX2kJ+LH1xtXFXOJ92lUSEjlUr5aAAiIqpXlUv7A8C8g/PgbeWNMwVnAABzD8zFlvNbUFxWjKt/X6329dmPsnEz9yZa2rVU7hvjPQZdm3WFn4sf3O3cWbToMY1vLYWHh2Px4sX4+uuvYWIi6hMOiIjIADy+tH9lEVOp6jOLqrKQWqCLcxf4OfupTIMGAB8nH/g4+dRpThKHxpXIyZMnER8fj71796Jjx46wtLRUOb5jx446C0dERBTVK0rZI1MTMxMz+Dj5wM/5n9tDnk08YWxkXE8pSSwaFzJ2dnYICwvTRhYiIiI1EUERSLiZgPi0eLVjnRw74buh36F90/aQGnPBQkOkcSFT9UnVRERE2hadEF1tEQMAp7NO45fLv6CTU6d6TkW6QuOVfYmIiOrT42NkHjd3/5NvO1HDpnGPjLv7k0d3X79+/bkCERERVTU3aC6iEv5Zvr+9ZXucLzyv3ObS/oZN40Jm6tSpKttyuRwpKSnYvXs3Zs6cWVe5iIiIAADtmrRTft++SXt81PwjpNikqK0jQ4ZJ40JmypQp1e5fuXIlkpKSnjsQERFRVauTViu/XxayDI/OP8LsnrMxr/c88UKRzqizMTIDBgzA9u3b6+pyREREuHD/AhJuJgAAXrB/Ab1a9BI3EOmcOitktm3bhsaNG9fV5YiIiLAmaY3y+7f93uYKvKRG41tLnTt3VvlFEgQBmZmZuH//PlatWlWn4YiIyHAVlhbiu9PfAQDMTcwxrtM4kRORLtK4kBkyZIhKIWNkZISmTZuiV69e8PT0rNNwRERkuDaf24zcklwAwMgOI9HIvBHkcrnIqUjXaFzIzJs3TwsxiIiIVAW1DMKUblPwbeq3eMfvHbHjkI7SeIyMsbEx7t27p7Y/OzsbxsZ8pgUREdWNNo3bIKZ/DDLey0DXZl3FjkM6SuNCRhCEaveXlJTA1NT0uQMRERFVZS41FzsC6bBa31pasWIFAEAikeDrr7+GlZWV8lh5eTkOHjzIMTJERERUr2pdyCxbtgxARY/MmjVrVG4jmZqaomXLllizZk1NLyciIqqVH878gIz8DEzoPAFNLJqIHYd0XK0LmbS0NABA7969sWPHDjRq1EhroYiIyDAJgoAFBxfgUvYlROyPwI2pN+Bk5SR2LNJhGs9a2r9/vzZyEBERYf+N/biUfQkA4O/qzyKGnkrjQgYA7ty5g59//hm3bt1CaWmpyrGlS5fWSTAiIjI8VZ+rxCnXVBsaFzLx8fH497//jVatWuHixYvo0KEDbty4AUEQ0KVLF21kJCIiA5CRn4FdF3cBABwtHTHUc6ioeUg/aDz9etasWZgxYwbOnj0LMzMzbN++Hbdv30ZQUBCGDx+ujYxERGQAvj71NcoUZQCA/3T5D0yNuaQHPZ3GhcyFCxfw+uuvAwBMTEzw6NEjWFlZYf78+Vi8eHGdByQiooavTFGGtafWAgCMJEZ40/dNkRORvtC4kLG0tFSOi3F2dsa1a9eUxx48eFB3yYiIyGD8dvk33Mm7AwB4yeMluNm6iZyI9IXGY2S6d++Ow4cPo127dhg4cCDee+89nD17Fjt27ED37t21kZGIiBo4DvKlZ6VxIbN06VIUFBQAAKKiolBQUIAff/wRHh4enLFEREQae/joIY7cPgIAaGnXEiGtQ0RORPpEo0KmvLwcd+7cgbe3N4CK20xczZeIiJ5HI/NGuDPtDtafWQ9rU2sYG/EBxFR7GhUyxsbGCAkJwYULF2BnZ6elSEREZGhszWwx+V+TxY5Bekjjwb4dOnTA9evXtZGFiIiISCMaFzILFizAjBkz8OuvvyIjIwN5eXkqX0RERLVVWFoodgTScxoP9h04cCAA4N///jckEolyvyAIkEgkKC8vr7t0RETUYJ3JOoMe63pgTMcx+F+3/8HLwUvsSKSH+NBIIiISxeqTq1EoL8TaU2vRyakTCxl6JhoXMkFBQdrIQUREBiS/JB8/nP0BAGAptcRY77EiJyJ9pfEYGQA4dOgQxo4dix49euDu3bsAgPXr1+Pw4cN1Go6IiBqmH878gILSijXJxnqPhY3MRuREpK80LmS2b9+O0NBQmJub49SpUygpKQEA5Obm4qOPPqrzgERE1LAIgsCVfKnOPNOspTVr1uCrr76CVCpV7g8ICMCpU6fqNBwRETU8R28fxdl7ZwEA3Zt3RyenTiInIn2mcSFz6dIlBAYGqu23tbVFTk5OXWQiIqIGjL0xVJc0LmScnJxw9epVtf2HDx9Gq1at6iQUERE1TPcL72Pr+a0AgMbmjTHCa4TIiUjfaVzIvPHGG5gyZQqOHz8OiUSC9PR0bNiwATNmzMA772hWWc+bNw8SiUTly9PTU3m8uLgY4eHhsLe3h5WVFcLCwpCVlaVpZCIi0hGxqbEoLS8FAEzwmQAzEzORE5G+03j69QcffACFQoG+ffuiqKgIgYGBkMlkmDFjBt59912NA3h5eWHfvn3/BDL5J9K0adPw22+/YevWrbC1tcXkyZMxbNgwHDlyROOfQ0RE4mti0QTudu5Iy0nDW75viR2HGgCNCxmJRILZs2dj5syZuHr1KgoKCtC+fXtYWVk9WwATEzg5Oantz83Nxbp167Bx40b06dMHABAbG4t27dohMTER3bt3f6afR0RE4pnYeSLG+4zHybsn4WHvIXYcagA0LmQqmZqawtraGtbW1s9cxADAlStX4OLiAjMzM/j7+2PRokVwc3NDcnIy5HI5goODled6enrCzc0Nx44dq7GQKSkpUU4JB6B8/pNcLodcLn/mnA1Z5efCz0c3sD10C9tDO7o4dnmmz5TtoVu02R61vabGhUxZWRmioqKwYsUKFBRULGZkZWWFd999F5GRkSpTsp+mW7du+Pbbb/HCCy8gIyMDUVFRePHFF3Hu3DlkZmbC1NQUdnZ2Kq9xdHREZmZmjddctGgRoqKi1Pbv3bsXFhYWtc5miOLi4sSOQFWwPXQL20O3sD10izbao6ioqFbnaVzIvPvuu9ixYweWLFkCf39/AMCxY8cwb948ZGdnY/Xq1U+5wj8GDBig/N7b2xvdunVDixYtsGXLFpibm2saDQAwa9YsTJ8+Xbmdl5cHV1dXhISEwMaGK0dWRy6XIy4uDv369dOoECXtYHvoFrZH3dhzbQ/c7dzR1r7tc12H7aFbtNkelXdUnkbjQmbjxo3YvHmzWhHi6uqKUaNGaVTIPM7Ozg5t27bF1atX0a9fP5SWliInJ0elVyYrK6vaMTWVZDIZZDKZ2n6pVMpf+qfgZ6Rb2B66he3x7OTlcrzx2xvILMhE/zb98euoX2FsZPxc12R76BZttEdtr6fx9GuZTIaWLVuq7Xd3d4epqamml1NRUFCAa9euwdnZGb6+vpBKpYiPj1cev3TpEm7duqXsCSIiIt236+IuZBZUDAmwkFo8dxFDVJXGhczkyZMRHR2tMqC2pKQECxcuxOTJkzW61owZM5CQkIAbN27g6NGjePnll2FsbIxRo0bB1tYWkyZNwvTp07F//34kJydjwoQJ8Pf354wlIiI9wpV8SZs0vrWUkpKC+Ph4NG/eHJ06VTwf4/Tp0ygtLUXfvn0xbNgw5bk7dux44rXu3LmDUaNGITs7G02bNkXPnj2RmJiIpk2bAgCWLVsGIyMjhIWFoaSkBKGhoVi1apWmkYmISCQXH1zE/hv7AQAejT3Qx72PyImoodG4kLGzs0NYWJjKPldX12f64Zs3b37icTMzM6xcuRIrV658pusTEZG41iStUX7/tt/bMJJofCOA6Ik0LmRiY2O1kYOIiBqYInkRvjv9HQDAzMQM433GixuIGiSWxkREpBWbz21GTnEOAOBVr1fR2LyxuIGoQdK4RyY7Oxtz587F/v37ce/ePSgUCpXjf//9d52FIyIi/cVBvlQfNC5kXnvtNVy9ehWTJk2Co6MjJBKJNnIREZEeS05PRlJ6EgCgs1Nn/KvZv0RORA2VxoXMoUOHcPjwYeWMJSIiosd5O3pj2/BtWJ20GiM7jOT/9JLWaFzIeHp64tGjR9rIQkREDYTUWIqw9mEIax8GQRDEjkMNmMaDfVetWoXZs2cjISEB2dnZyMvLU/kiIiKqir0xpE3PtI5MXl4e+vRRXdRIEARIJBKUl5fXWTgiIiKiJ9G4kBkzZgykUik2btzIwb5ERKQi4UYCPjv2Gf7b9b8IaR3CBfBI6zQuZM6dO4eUlBS88MIL2shDRER6bOXJlfjl8i/45fIv2D5iO4a1G/b0FxE9B41LZT8/P9y+fVsbWYiISI9l5Gdg58WdAAAHSwcMajtI5ERkCDTukXn33XcxZcoUzJw5Ex07doRUKlU57u3tXWfhiIhIf6xLWYcyRRkAYFLnSTA1NhU5ERkCjQuZV199FQAwceJE5T6JRMLBvkREBqxcUY61yWsBABJI8KbvmyInIkOhcSGTlpamjRxERKTHfrvyG27nVQw7GOgxEC3tWoobiAyGxoVMixYttJGDiIj02JqkNcrv+Vwlqk/PNC9u/fr1CAgIgIuLC27evAkAiImJwU8//VSn4YiISPelPUzD7qu7AQAtbFugf5v+IiciQ6JxIbN69WpMnz4dAwcORE5OjnJMjJ2dHWJiYuo6HxER6bgvk7+EgIrHELzl+xaMjYxFTkSGRONC5vPPP8dXX32F2bNnw9j4n19WPz8/nD17tk7DERGR7rvw4AIAQGokxaQuk0ROQ4bmmQb7du7cWW2/TCZDYWFhnYQiIiL98dPIn5CamYqk9CQ4WDqIHYcMjMaFjLu7O1JTU9UG/e7evRvt2rWrs2BERKQ/fJx84OPkI3YMMkC1LmTmz5+PGTNmYPr06QgPD0dxcTEEQcCJEyewadMmLFq0CF9//bU2sxIRERGpqHUhExUVhbfffhv/+c9/YG5ujjlz5qCoqAijR4+Gi4sLli9fjpEjR2ozKxER6ZDrD6/D3c6dDw8mUdW6kBEEQfn9mDFjMGbMGBQVFaGgoAAODrwnSkRkSApKC+Czxgdutm6Y1n0aB/mSaDSatfR41W1hYcEihojIAG04swH5pfn46/5fOH73uNhxyIBpNNi3bdu2T+1C/Pvvv58rEBER6TZBELA6abVymyv5kpg0KmSioqJga2urrSxERKQHEu8k4nTWaQBAt2bd0NlZfUkOovqiUSEzcuRI3koiIjJw7I0hXVLrMTIclU5ERNlF2djy1xYAQCOzRhjhNULkRGToal3IVJ21REREhik2NRYl5SUAgAk+E2AuNRc5ERm6Wt9aUigU2sxBREQ6TiEosCZpjXL7bb+3RUxDVEHjh0YSEZFh2nd9H649vAYACG4VDA97D5ETEbGQISKiWnKxdsFY77EwNTbF277sjSHdoPFDI4mIyDB1cOiA9S+vx7LQZbCVcSkO0g0sZIiISCNNLJqIHYFIibeWiIiISG+xkCEioic6cOMAvkn5BkXyIrGjEKlhIUNERE+08NBCTPp5EpotbYbL2ZfFjkOkgoUMERHV6Er2Fey7vg8AYG9ujzaN24iciEgVCxkiIqrR4wvgGUn4Z4N0C38jiYioWo/kjxCbGgsAkBnLMMFngsiJiNTpTCHz8ccfQyKRYOrUqcp9xcXFCA8Ph729PaysrBAWFoasrCzxQhIRGZAtf23Bw+KHAIARXiNgb2EvciIidTpRyJw8eRJffvklvL29VfZPmzYNv/zyC7Zu3YqEhASkp6dj2LBhIqUkIjIsq5NWK79/x+8dEZMQ1Uz0QqagoABjxozBV199hUaNGin35+bmYt26dVi6dCn69OkDX19fxMbG4ujRo0hMTBQxMRFRw5eSkYLjd48DADo5dkL35t1FTkRUPdFX9g0PD8dLL72E4OBgLFiwQLk/OTkZcrkcwcHByn2enp5wc3PDsWPH0L179f9RlZSUoKSkRLmdl5cHAJDL5ZDL5Vp6F/qt8nPh56Mb2B66xVDbY+WJlcrv3+z8JsrKykRM8w9DbQ9dpc32qO01RS1kNm/ejFOnTuHkyZNqxzIzM2Fqago7OzuV/Y6OjsjMzKzxmosWLUJUVJTa/r1798LCwuK5MzdkcXFxYkegKtgeusWQ2qNUUYpN5zYBAMyNzNH4bmP8nvm7yKlUGVJ76ANttEdRUe0WYBStkLl9+zamTJmCuLg4mJmZ1dl1Z82ahenTpyu38/Ly4OrqipCQENjY2NTZz2lI5HI54uLi0K9fP0ilUrHjGDy2h24x1PY4F3gO36R+A4lEgrAXw8SOo2So7aGrtNkelXdUnka0QiY5ORn37t1Dly5dlPvKy8tx8OBBfPHFF9izZw9KS0uRk5Oj0iuTlZUFJyenGq8rk8kgk8nU9kulUv7SPwU/I93C9tAthtYe7vbuiO4bLXaMGhlae+g6bbRHba8nWiHTt29fnD17VmXfhAkT4Onpif/3//4fXF1dIZVKER8fj7Cwiv8buHTpEm7dugV/f38xIhMREZGOEa2Qsba2RocOHVT2WVpawt7eXrl/0qRJmD59Oho3bgwbGxu8++678Pf3r3GgLxERPR+FoODqvaRXdPq3ddmyZRg0aBDCwsIQGBgIJycn7NixQ+xYREQNUlZBFlrGtMTs+Nm4mXNT7DhEtSL69OuqDhw4oLJtZmaGlStXYuXKldW/gIiI6sw3Kd/gdt5tfHT4I5QpyrC432KxIxE9lU73yBARUf0oV5Tjy+QvAQASSPCW31siJyKqHRYyRESE3Vd342Zuxe2k/m36o1WjViInIqodFjJERMTnKpHeYiFDRGTgbuTcwO9XKlbudbN1w0CPgSInIqo9FjJERAZubfJaCBAAAG92eRPGRsYiJyKqPRYyREQGrLS8FOtS1gEATIxMMKnLJJETEWmGhQwRkQHbcWEH7hXeAwAMazcMTlY1PwKGSBexkCEiMmB5JXlobN4YAAf5kn5iIUNEZMDe9H0Td6ffxbbh2xDUIkjsOEQa06mVfYmIqP6ZmZghrH2Y2DGIngl7ZIiIiEhvsZAhIjJAKRkpyCzIFDsG0XNjIUNEZGAEQcCknyfBdZkrXt32Kh7JH4kdieiZcYwMEZGBOXH3BFIyUwAA1x9eh7nUXORERM+OPTJERAaGz1WihoSFDBGRAfn70d/48a8fAQB2ZnYY2WGkyImIng8LGSIiA/Jd6ncoLisGAIzrNA4WUguRExE9HxYyREQGQhAErEleo9x+2+9tEdMQ1Q0WMkREBuLPtD9xOfsyAKB3y97wbOIpciKi58dChojIQHCQLzVELGSIiBqw6IRoGEUZ4f2497Hr4i7l/r/u/yVeKKI6xEKGiKiBik6IxtwDcyFAwCdHP4FHYw/lsaiEKEQnRIuYjqhusJAhImqgIg9EqmxfzL74xONE+ogr+xIRNRC5xbk4lXEKSelJSMpIgq2ZLXKKc2o8f37v+fUXjkhLWMgQEemh4rJinLx7Ulm0JKUnKWck1UZwq2DMCZyjxYRE9YOFDBGRjiuSF6G0vBR2ZnbKfdf+vobAbwOf+DoTIxOUKcqqPbbv+j4sOLiAxQzpPY6RISLSIcVlxThx9wRWnVyFiT9NhPdqb1gvssayY8tUzvNs4qmyKq/MWIZuzbohvGs4YofE4uw7Z1GuKH/iz5q7f65W3gNRfWKPDBGRiC7cv4BDtw5V3CJKT8LZe2er7UVJzkhW2TY2MkZkUCQamTVC12Zd4dXUC1Jjqco5Ub2iMPfAP8VKcKtg7Lu+T+U4kb5jIUNEVA/KFGW4nH0Z7Zu2V9n/xYkvsCppVY2vM5YYo4NDB7XXAcD7Ae8/8WdGBEUAqJidNL/3fMwJnIPohGhEHohEVK8o5XEifcZChoiojpUrynE5+7KylyUpIwkpGSl4VPYIme9lwtHKUXmun4uf8nsJJGjftD38XPyUX50cO8Fcav7MWSKCIlQKlse3ifQdCxkiompU9lxEBkbCBz5YeHgh5h+cX21PRklZCXZc2KEsWk5lnEJBaUG1103OSMZAj4HK7T7ufbAsdBn8XPzg4+QDK1Mrrb4vooaGhQwR0WMqV8QFgHkH58HbyhtnCs4AAOYemIsHRQ+wfMBy5fkSiQTjfxqP0vLSGq/ZqlEr+Ln4qcw8AoAWdi0wtfvUun4LRAaDhQwR0WMeX/G2soiptOLECpVCxtTYFJ0cO+Fk+kkAgJutW8WtIeeK20O+Lr5obN5Y+8GJDBALGSKi/3M68zR2XtwJj8YeuPx3zYvL2cps1fbN6zUPEkjg6+ILB0sHbcYkoipYyBCRwblfeB/JGckIcA2Atcxauf/YnWOISnjylGR7c3uEdw1HuaIcxkbGyv1Vx70QUf1hIUNEDdrDRw+RnJH8zwyi9CTczL0JANj32j70bdVXeW7VGUQ1yX6UDamxVKWIISLxsJAhogYnJjEGiXcSkZSehGsPr9V4XlJ6kkoh09GhI7a8sgWvbnsVAoQaXzd3/1wu7U+kI1jIEJFeKiwtREpmCvJL8jHAY4DKsW9SvsHZe2erfZ2l1BK+Lr7wc/ZDgFuAyjGZiQzDvYbj4oOLKividrLqhNMFp5XbXBGXSHewkCEinfdI/ghnss4gKT0JJ9Mrnvh84cEFKAQF2tq3VStk/Fz8cPbeWZiZmKGzU2f4ufihq0tX+Ln4oa1926feFqq6Im5kYCR88nyQYpNS4zoyRCQeFjJEpJPOZp3FiuMrkJSRhHP3ztX4FOfL2ZeRW5wLW7N/ZhLN7DETU7tPRfum7WFi9Gz/zFWugCuXy/H7779jds/ZmNd73jNdi4i0R9SnX69evRre3t6wsbGBjY0N/P398ccffyiPFxcXIzw8HPb29rCyskJYWBiysrJETExETxOdEA2jKCMsOLhAZTs6IVrtXHm5HKmZqfj61Ne4nK063Tm3JBdfp3yN1MxUtSLGxMgEnZ06440ub+DLQV/CSKL6T1m7pu3g7ej9zEUMEekPUf8rb968OT7++GN4eHhAEAR89913GDJkCFJSUuDl5YVp06bht99+w9atW2Fra4vJkydj2LBhOHLkiJixiagGVVfEjdgfgQM3DiA+LR5AxYq4WYVZ8HPxU84eSs1MRUl5CQAgJjQGbe3bKq/l4+SjLFC8mnqpPH/I29EbZiZm9fzuiEgXiVrIDB48WGV74cKFWL16NRITE9G8eXOsW7cOGzduRJ8+fQAAsbGxaNeuHRITE9G9e3cxIhPREzy+Im5lEVNp5cmVNb42KSNJZdvK1Aon/nMCnk08YWlqWXchiahB0Zl+1/LycmzduhWFhYXw9/dHcnIy5HI5goODled4enrCzc0Nx44dq7GQKSkpQUlJiXI7Ly8PACCXyyGXy7X7JvRU5efCz0c36Ft7CIKA6znXkZyRjGD3YMSlxdX6tW0at4Gvky98nX3xotuLau/Zu6k3AHE/C31rj4aO7aFbtNketb2m6IXM2bNn4e/vj+LiYlhZWWHnzp1o3749UlNTYWpqCjs7O5XzHR0dkZmZWeP1Fi1ahKgo9amRe/fuhYWFRV3Hb1Di4mr/B4i0TxfbQxAE3Jffx9Wiq7hWdA1Xi67i6qOrKCwvBAAYwQgdrDrgXME5tdeaSkzhZ+uHNuZt0MaiDVqZt4KVyf896TkbyMrOwu8pv9fn29GILraHIWN76BZttEdRUVGtzhO9kHnhhReQmpqK3NxcbNu2DePGjUNCQsIzX2/WrFmYPn26cjsvLw+urq4ICQmBjY1NXURucORyOeLi4tCvXz9IpVKx4xg8XWyP6w+vY8qeKUjOSMaDRw9qPE8BRbVFDACUCqUI8Q7Bhz0/1FZMrdDF9jBkbA/dos32qLyj8jSiFzKmpqZo06YNAMDX1xcnT57E8uXL8eqrr6K0tBQ5OTkqvTJZWVlwcnKq8XoymQwymUxtv1Qq5S/9U/Az0i313R5ZBVnKpfz/1exf6N+mv/KYg7UD9lzfU+3rHC0d0bVZV/g5+yEqIeqJK+JGHYxCZO/IGo/rMv73oVvYHrpFG+1R2+uJXsg8TqFQoKSkBL6+vpBKpYiPj0dYWBgA4NKlS7h16xb8/f1FTkmk37KLstWeP3Q777by+KTOk1QKmUbmjdCmcRvkFOdUzBxy/mcGkYu1CyQSCQDASGKksiJucKtg7Lu+T7nNFXGJqK6JWsjMmjULAwYMgJubG/Lz87Fx40YcOHAAe/bsga2tLSZNmoTp06ejcePGsLGxwbvvvgt/f3/OWCJ6Rp8d/QwrT65EWk7aE89LSk9S25c4KRGNzRsri5bqVF0Rd37v+ZgTOAfRCdGIPBDJFXGJSCtELWTu3buH119/HRkZGbC1tYW3tzf27NmDfv36AQCWLVsGIyMjhIWFoaSkBKGhoVi1apWYkYl0Wn5JPlIyU5CUnoRTGafwzZBvYGpsqjxeWl5abRFjbWqtfP5QZU/L4+wt7GuVoXJF3Jq2iYjqkqiFzLp165543MzMDCtXrsTKlTWvPUHUUFT2XEQGRsIHPlh4eOETn+1TJC9Camaqyu2hiw8uqoxRme4/HV2cuyi3fV18YSG1QBfnLipFi4e9h9rquERE+kDnxsgQGaKqK+LOOzgP3lbeOFNwBgD+WSn3/4qZwtJC+K/zx1/3/4JCUDzxuknpSSqFTB/3Psj7IO+pD00kItIXLGSIdMDjK+JWFjFVj1cWMpamlnhY/FCtiJEaSdHJqZNKT0v7pu1VzuGzh4iooeG/akQiKlOU4fz98xjywhDsurSrxvPm956vst29eXdcyb6Cri5dlUVLB4cOkJmoLz1ARNSQsZAhEslXyV9hyu4peFT26InnGUmM8EHPD1T2bXllyxNnDxERGQqO7iPSAoWgwOXsy9h4diOm75mOwNhAXHxwUeUcJyunpxYxldf6+PDHKvtYxBARVWCPDNFzEgQBaTlpKrOHkjOSkVeiurz2ibsVT3Ku5Ovii9aNWsPPxQ8//vXjE3/G3P1zMSdwjlbyExHpMxYyRM+p3cp2uJR96annXcm+orLtYu2Cq/+7CgDwauqlsiJuJ6tOOF1wWrnNFXGJiKrHQoboCTLyM/7paclIgoXUAluHb1U5x72Ru1oh08y6mXIQrp+LH3ydfdHUsmmNP6fqiriRgZHwyfNBik3KE9eRISIiFjJESvcK7yE5PVlZtCSlJyE9P13lHCtTKygEhcriccHuwTCWGKsULc7Wzhr//MoVcOVyOX7//XfM7jkb83rPe963RUTUoLGQIYMkCILKgNmfL/2MIZuHPPV1psamuJt3F662rsp97/V4D+/1eE8rOYmI6Mk4a4n0XnRCNIyijLDg4AKV7eiEaABAXkkeDtw4gE+PfoqR20aizYo22Hpe9fZQR4eOate1ldmij3sfvN/jfWx5ZQuu/+86Hsx8oFLEEBGRuNgjQ3qt6tL+EfsjEJ8WjwM3DgCoWNp/+fHlyH6Urfa6pPQkjPAaodxuadcSL3m8hBfsX1DeImrduDWfP0REpONYyJDekpfL1Zb2ryxiKlVXxJibmKO4rFhln0Qiwa+jf63zjEREpF0sZEgvlJSV4EzWGZUZRFkFWZjXa55aMVNV1UG4lV+eTTz5zCEiogaC/5qTzilTlOHcvXMqC8ydyToDuUKudu7rnV7HwZsHEZ8Wr3asW7NuODThEKTG0vqITUREImAhQ6IqU5ShpKwElqaWyn1Xsq+g85edn/g6Y4kxvBy88PHhj6stYgDg+N3jWHxkMVfEJSJqwFjIUL2pfP5Q1Z6WlMwUvOf/nsrTndvat4WVqRUKSgsAABJI0K5pu4pbQ84Vt4c6OXWChdQCRlFPHozLpf2JiBo2FjKkNbdyb+Ho7aPKouVUxinkl+arnZeUnqSybWxkjJk9ZsLa1Bp+Ln7wcfKBtcy62p8R1StKZWn/4FbB2Hd9n8pxIiJquFjI0HMTBAG3cm+hhV0Llf2fHv0Un5/4/Imvdbdzh5utm9r+uUFzqzlbXdWl/ef3no85gXMQnRCNyAORXNqfiMgAsJAhjQiCgLv5d1VuDyWlJyH7UTbuTr8LF2sX5bl+Ln4qr3W1cVV7/pC9hf1zZ6pc2r+mbSIiarhYyBiwyp6LyMBI+MAHCw8vVHtIobxcjj3X9qgULVmFWdVeLzk9GS4v/FPIBLYIRFSvKGXR4mjlWC/vi4iIDAcLGQNVdUXceQfnwdvKG2cKzgDAPyvlBkVAgIBXtryCkvKSGq/V1KIp/Fz8VGYeARWr5db2FhEREdGzYCFjoB5fRK6yiKl6PCIoAqbGpujk1Akn7p4AADQya6S2wJyrjavKAxiJiIjqCwsZA3HxwUX8dvk3JGVU3B4SIDzx/KrToWf1nIXS8lL4ufjB3c6dRQsREekMFjINTGFpIVIzU9HJqROsTK2U+w/ePIgZcTNqdY2+7n1V1l4Z6jm0rmMSERHVCRYyeuyR/NE/zx/6v56W8/fPQyEosHfsXvRr3U95btUZRGYmZmhi0QR38u5Ue934tHgsOLiAC8kREZHOYyGjZ9adWofEO4lIykjCuXvnUKYoq/a8pPQklUKmg0MHfDX4K3R16Yr2TdtDtkD2xJ/DFXGJiEgfsJDRQfJyOc7fP4+/H/2N3u69VY59fuJznM46Xe3rTIxM0NGhY8V0ZxdflWOmxqb4T5f/KLcfXxG3k1UnnC44rXKciIhI17GQEVm5ohwXH1z8Z52WjCSkZqaiuKwYbRq3wZV3r6ic7+fih9NZp2EkMYJXUy+V2UPejt4wMzGr1c+tuiJuZGAkfPJ8kGKToraODBERkS5jISOCSw8u4cvkL3Ey/SRSMlJQKC+s9ryrf1/Fw0cP0ci8kXLf/7r9DxN8JsDHyUdt3RZNVa6AK5fL8fvvv2N2z9mY13vec12TiIioPj350cGkJjohGkZRRlhwcIHKdnRCtMp5giDg+sPr2PLXFlz7+5rKsexH2ViWuAyHbx2utohp07gNRnYYiU/7fap2zNvRGwFuAc9dxBARETUE7JHRQNXVcCP2R+DAjQOIT4sHULEa7vn75+HeyF15m+hh8UMAwNKQpZjmP015HR8nHxhJjKAQFGhp17Li1pBzxe2hLs5dVHpgiIiIqGYsZDTw+Gq4lUVMpc1/ba72dUkZSSrbFlILHBh3AO2atkMTiyZ1G5KIiMiAsJDRwOMzfZ7EwdIBXV26ws/FD71a9lI7/mKLF+s4HRERkeFhIaOBiKAIJNxMUOuJAQB7c3u87fe2cgZRM+tmXMqfiIhIy1jIaCA6IbraIgaoGMBrZmLG5fyJiIjqEWctaeDxMTKPm7u/drediIiIqG6wkNHA46vdBrcKfuJxIiIi0i4WMhqICIrA/F7zIYEE0b2jEfdanHJ7fq/5XA2XiIionnGMjIYqV8OtaZuIiIjqj6g9MosWLULXrl1hbW0NBwcHDB06FJcuXVI5p7i4GOHh4bC3t4eVlRXCwsKQlZUlUmIiIiLSJaIWMgkJCQgPD0diYiLi4uIgl8sREhKCwsJ/lu2fNm0afvnlF2zduhUJCQlIT0/HsGHDRExNREREukLUW0u7d+9W2f7222/h4OCA5ORkBAYGIjc3F+vWrcPGjRvRp08fAEBsbCzatWuHxMREdO/eXYzYREREpCN0aoxMbm4uAKBx48YAgOTkZMjlcgQH/zM7yNPTE25ubjh27Fi1hUxJSQlKSkqU23l5eQAAuVwOuVyuzfh6q/Jz4eejG9geuoXtoVvYHrpFm+1R22vqTCGjUCgwdepUBAQEoEOHDgCAzMxMmJqaws7OTuVcR0dHZGZmVnudRYsWISpKfRr03r17YWFhUee5G5K4uDixI1AVbA/dwvbQLWwP3aKN9igqKqrVeTpTyISHh+PcuXM4fPjwc11n1qxZmD59unI7Ly8Prq6uCAkJgY2NzfPGbJDkcjni4uLQr18/SKVSseMYPLaHbmF76Ba2h27RZntU3lF5Gp0oZCZPnoxff/0VBw8eRPPmzZX7nZycUFpaipycHJVemaysLDg5OVV7LZlMBplMprZfKpXyl/4p+BnpFraHbmF76Ba2h27RRnvU9nqizloSBAGTJ0/Gzp078eeff8Ld3V3luK+vL6RSKeLj/3m+0aVLl3Dr1i34+/vXd1wiIiLSMaL2yISHh2Pjxo346aefYG1trRz3YmtrC3Nzc9ja2mLSpEmYPn06GjduDBsbG7z77rvw9/fnjCUiIiISt5BZvXo1AKBXr14q+2NjYzF+/HgAwLJly2BkZISwsDCUlJQgNDQUq1atquekREREpItELWQEQXjqOWZmZli5ciVWrlz5XD+jtoOGDJFcLkdRURHy8vJ4z1kHsD10C9tDt7A9dIs226Py7/bTagWdGOyrTfn5+QAAV1dXkZMQERGRpvLz82Fra1vjcYlQm24RPaZQKJCeng5ra2tIJBKx4+ikyinqt2/f5hR1HcD20C1sD93C9tAt2mwPQRCQn58PFxcXGBnVPDepwffIGBkZqUzppprZ2NjwHwYdwvbQLWwP3cL20C3aao8n9cRUEnX6NREREdHzYCFDREREeouFDEEmkyEyMrLaFZGp/rE9dAvbQ7ewPXSLLrRHgx/sS0RERA0Xe2SIiIhIb7GQISIiIr3FQoaIiIj0FgsZIiIi0lssZAzUokWL0LVrV1hbW8PBwQFDhw7FpUuXxI5F/+fjjz+GRCLB1KlTxY5i0O7evYuxY8fC3t4e5ubm6NixI5KSksSOZZDKy8sREREBd3d3mJubo3Xr1oiOjq7VM/vo+R08eBCDBw+Gi4sLJBIJdu3apXJcEATMnTsXzs7OMDc3R3BwMK5cuVIv2VjIGKiEhASEh4cjMTERcXFxkMvlCAkJQWFhodjRDN7Jkyfx5ZdfwtvbW+woBu3hw4cICAiAVCrFH3/8gfPnz+Ozzz5Do0aNxI5mkBYvXozVq1fjiy++wIULF7B48WIsWbIEn3/+udjRDEJhYSE6depU4wOclyxZghUrVmDNmjU4fvw4LC0tERoaiuLiYq1n4/RrAgDcv38fDg4OSEhIQGBgoNhxDFZBQQG6dOmCVatWYcGCBfDx8UFMTIzYsQzSBx98gCNHjuDQoUNiRyEAgwYNgqOjI9atW6fcFxYWBnNzc/zwww8iJjM8EokEO3fuxNChQwFU9Ma4uLjgvffew4wZMwAAubm5cHR0xLfffouRI0dqNQ97ZAhAxS8dADRu3FjkJIYtPDwcL730EoKDg8WOYvB+/vln+Pn5Yfjw4XBwcEDnzp3x1VdfiR3LYPXo0QPx8fG4fPkyAOD06dM4fPgwBgwYIHIySktLQ2Zmpsq/W7a2tujWrRuOHTum9Z/f4B8aSU+nUCgwdepUBAQEoEOHDmLHMVibN2/GqVOncPLkSbGjEIDr169j9erVmD59Oj788EOcPHkS//vf/2Bqaopx48aJHc/gfPDBB8jLy4OnpyeMjY1RXl6OhQsXYsyYMWJHM3iZmZkAAEdHR5X9jo6OymPaxEKGEB4ejnPnzuHw4cNiRzFYt2/fxpQpUxAXFwczMzOx4xAqCnw/Pz989NFHAIDOnTvj3LlzWLNmDQsZEWzZsgUbNmzAxo0b4eXlhdTUVEydOhUuLi5sDwPHW0sGbvLkyfj111+xf/9+NG/eXOw4Bis5ORn37t1Dly5dYGJiAhMTEyQkJGDFihUwMTFBeXm52BENjrOzM9q3b6+yr127drh165ZIiQzbzJkz8cEHH2DkyJHo2LEjXnvtNUybNg2LFi0SO5rBc3JyAgBkZWWp7M/KylIe0yYWMgZKEARMnjwZO3fuxJ9//gl3d3exIxm0vn374uzZs0hNTVV++fn5YcyYMUhNTYWxsbHYEQ1OQECA2pIEly9fRosWLURKZNiKiopgZKT6J8vY2BgKhUKkRFTJ3d0dTk5OiI+PV+7Ly8vD8ePH4e/vr/Wfz1tLBio8PBwbN27ETz/9BGtra+V9TFtbW5ibm4uczvBYW1urjU+ytLSEvb09xy2JZNq0aejRowc++ugjjBgxAidOnMDatWuxdu1asaMZpMGDB2PhwoVwc3ODl5cXUlJSsHTpUkycOFHsaAahoKAAV69eVW6npaUhNTUVjRs3hpubG6ZOnYoFCxbAw8MD7u7uiIiIgIuLi3Jmk1YJZJAAVPsVGxsrdjT6P0FBQcKUKVPEjmHQfvnlF6FDhw6CTCYTPD09hbVr14odyWDl5eUJU6ZMEdzc3AQzMzOhVatWwuzZs4WSkhKxoxmE/fv3V/s3Y9y4cYIgCIJCoRAiIiIER0dHQSaTCX379hUuXbpUL9m4jgwRERHpLY6RISIiIr3FQoaIiIj0FgsZIiIi0lssZIiIiEhvsZAhIiIivcVChoiIiPQWCxkiIiLSWyxkiIiISG+xkCEinTF+/HhIJBJIJBJIpVI4OjqiX79++Oabb/hMHSKqFgsZItIp/fv3R0ZGBm7cuIE//vgDvXv3xpQpUzBo0CCUlZWJHY+IdAwLGSLSKTKZDE5OTmjWrBm6dOmCDz/8ED/99BP++OMPfPvttwCApUuXomPHjrC0tISrqyv++9//oqCgAABQWFgIGxsbbNu2TeW6u3btgqWlJfLz8+v7LRGRFrGQISKd16dPH3Tq1Ak7duwAABgZGWHFihX466+/8N133+HPP//E+++/D6DiqeEjR45EbGysyjViY2PxyiuvwNraut7zE5H28KGRRKQzxo8fj5ycHOzatUvt2MiRI3HmzBmcP39e7di2bdvw9ttv48GDBwCAEydOoEePHrh9+zacnZ1x7949NGvWDPv27UNQUJC23wYR1SP2yBCRXhAEARKJBACwb98+9O3bF82aNYO1tTVee+01ZGdno6ioCADwr3/9C15eXvjuu+8AAD/88ANatGiBwMBA0fITkXawkCEivXDhwgW4u7vjxo0bGDRoELy9vbF9+3YkJydj5cqVAIDS0lLl+f/5z3+UY2piY2MxYcIEZSFERA0HCxki0nl//vknzp49i7CwMCQnJ0OhUOCzzz5D9+7d0bZtW6Snp6u9ZuzYsbh58yZWrFiB8+fPY9y4cSIkJyJtMxE7ABFRVSUlJcjMzER5eTmysrKwe/duLFq0CIMGDcLrr7+Oc+fOQS6X4/PPP8fgwYNx5MgRrFmzRu06jRo1wrBhwzBz5kyEhISgefPmIrwbItI29sgQkU7ZvXs3nJ2d0bJlS/Tv3x/79+/HihUr8NNPP8HY2BidOnXC0qVLsXjxYnTo0AEbNmzAokWLqr3WpEmTUFpaiokTJ9bzuyCi+sJZS0TUYK1fvx7Tpk1Deno6TE1NxY5DRFrAW0tE1OAUFRUhIyMDH3/8Md566y0WMUQNGG8tEVGDs2TJEnh6esLJyQmzZs0SOw4RaRFvLREREZHeYo8MERER6S0WMkRERKS3WMgQERGR3mIhQ0RERHqLhQwRERHpLRYyREREpLdYyBAREZHeYiFDREREeouFDBEREemt/w8mCUecLCkw6wAAAABJRU5ErkJggg==","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.plot(days, temperature, color='green', marker='X', linestyle='--', linewidth=2)\n","plt.title('Temperature Over a Week')\n","plt.xlabel('Day')\n","plt.ylabel('Temperature (°C)')\n","plt.grid(True)\n","plt.savefig('Alataf Analysis graph')"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyNbmTckHYVkAIZjw7o4+dNr","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}