TikTok_Data_Analysis.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ek_E-DNaNcrp",
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      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the CSV file\n",
        "file_path = '/content/drive/MyDrive/QuantFinance/TikTok_Profiles_dataset.csv'  # Update this path as needed\n",
        "data = pd.read_csv(file_path)"
      ],
      "metadata": {
        "id": "ZbeDrT00N4Jy"
      },
      "execution_count": 5,
      "outputs": []
    },
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      "source": [
        "data.head()"
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          "height": 486
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        "outputId": "6f4360ac-8213-469c-bd9b-7f57b227172c"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    timestamp      account_id              nickname  \\\n",
              "0  2023-08-01      a.r.m.y664                ❤️❤️❤️   \n",
              "1  2023-08-01           a2_9r       ايمن الفستقي🍺🥂🥃   \n",
              "2  2023-07-30     ti.po.check                   All   \n",
              "3  2023-08-06  nutrifersanort  L.N Fernanda Sánchez   \n",
              "4  2023-07-25          bhgdee                    D💲   \n",
              "\n",
              "                                           biography  awg_engagement_rate  \\\n",
              "0  nazywam się Basia 🇵🇱+🇺🇸 moja mama jest z USA 🖤...             0.049630   \n",
              "1                       حسابي الاصلي تيكتككك(_8_ytp_             0.059322   \n",
              "2  Активный пользователь ТикТока 🌝\\nМеня зовут BD...             0.001399   \n",
              "3                 Nutrióloga, educadora en diabetes.             0.469767   \n",
              "4  Ig-bhg.dee📸\\nSc-dannieo2099 👻\\nFb- frank matth...             0.122283   \n",
              "\n",
              "   comment_engagement_rate  like_engagement_rate bio_link  is_verified  \\\n",
              "0                 0.004473              0.045157      NaN        False   \n",
              "1                 0.004358              0.054964      NaN        False   \n",
              "2                 0.000058              0.001341      NaN        False   \n",
              "3                 0.004651              0.465116      NaN        False   \n",
              "4                 0.008152              0.114130      NaN        False   \n",
              "\n",
              "   followers  following  likes  videos_count  create_time  \\\n",
              "0       1755       1443   1586            20          NaN   \n",
              "1        354       1422   3843           225          NaN   \n",
              "2       1960        243  24000           228          NaN   \n",
              "3         43         41    100             5          NaN   \n",
              "4        276       2262    126             4          NaN   \n",
              "\n",
              "                    id                                         top_videos  \\\n",
              "0  6794435137251820550  https://www.tiktok.com/@a.r.m.y664/video/68236...   \n",
              "1  7019722709156430853  https://www.tiktok.com/@a2_9r/video/7218348887...   \n",
              "2  6826677567140873222  https://www.tiktok.com/@ti.po.check/video/6984...   \n",
              "3  6809397670235407365  https://www.tiktok.com/@nutrifersanort/video/7...   \n",
              "4  6810526136080483334  https://www.tiktok.com/@bhgdee/video/719722663...   \n",
              "\n",
              "                                      url  \\\n",
              "0      https://www.tiktok.com/@a.r.m.y664   \n",
              "1           https://www.tiktok.com/@a2_9r   \n",
              "2     https://www.tiktok.com/@ti.po.check   \n",
              "3  https://www.tiktok.com/@nutrifersanort   \n",
              "4          https://www.tiktok.com/@bhgdee   \n",
              "\n",
              "                                     profile_pic_url  \n",
              "0  https://p77-sign-va.tiktokcdn.com/musically-ma...  \n",
              "1  https://p16-sign-va.tiktokcdn.com/tos-maliva-a...  \n",
              "2  https://p58-sign-sg.tiktokcdn.com/aweme/720x72...  \n",
              "3  https://p16-sign-va.tiktokcdn.com/tos-maliva-a...  \n",
              "4  https://p16-sign.tiktokcdn-us.com/tos-useast5-...  "
            ],
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              "      <th>timestamp</th>\n",
              "      <th>account_id</th>\n",
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              "      <th>biography</th>\n",
              "      <th>awg_engagement_rate</th>\n",
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              "      <th>0</th>\n",
              "      <td>2023-08-01</td>\n",
              "      <td>a.r.m.y664</td>\n",
              "      <td>❤️❤️❤️</td>\n",
              "      <td>nazywam się Basia 🇵🇱+🇺🇸 moja mama jest z USA 🖤...</td>\n",
              "      <td>0.049630</td>\n",
              "      <td>0.004473</td>\n",
              "      <td>0.045157</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>1755</td>\n",
              "      <td>1443</td>\n",
              "      <td>1586</td>\n",
              "      <td>20</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6794435137251820550</td>\n",
              "      <td>https://www.tiktok.com/@a.r.m.y664/video/68236...</td>\n",
              "      <td>https://www.tiktok.com/@a.r.m.y664</td>\n",
              "      <td>https://p77-sign-va.tiktokcdn.com/musically-ma...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2023-08-01</td>\n",
              "      <td>a2_9r</td>\n",
              "      <td>ايمن الفستقي🍺🥂🥃</td>\n",
              "      <td>حسابي الاصلي تيكتككك(_8_ytp_</td>\n",
              "      <td>0.059322</td>\n",
              "      <td>0.004358</td>\n",
              "      <td>0.054964</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>354</td>\n",
              "      <td>1422</td>\n",
              "      <td>3843</td>\n",
              "      <td>225</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7019722709156430853</td>\n",
              "      <td>https://www.tiktok.com/@a2_9r/video/7218348887...</td>\n",
              "      <td>https://www.tiktok.com/@a2_9r</td>\n",
              "      <td>https://p16-sign-va.tiktokcdn.com/tos-maliva-a...</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2023-07-30</td>\n",
              "      <td>ti.po.check</td>\n",
              "      <td>All</td>\n",
              "      <td>Активный пользователь ТикТока 🌝\\nМеня зовут BD...</td>\n",
              "      <td>0.001399</td>\n",
              "      <td>0.000058</td>\n",
              "      <td>0.001341</td>\n",
              "      <td>NaN</td>\n",
              "      <td>False</td>\n",
              "      <td>1960</td>\n",
              "      <td>243</td>\n",
              "      <td>24000</td>\n",
              "      <td>228</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6826677567140873222</td>\n",
              "      <td>https://www.tiktok.com/@ti.po.check/video/6984...</td>\n",
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              "      <td>https://p58-sign-sg.tiktokcdn.com/aweme/720x72...</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2023-08-06</td>\n",
              "      <td>nutrifersanort</td>\n",
              "      <td>L.N Fernanda Sánchez</td>\n",
              "      <td>Nutrióloga, educadora en diabetes.</td>\n",
              "      <td>0.469767</td>\n",
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              "      <td>6809397670235407365</td>\n",
              "      <td>https://www.tiktok.com/@nutrifersanort/video/7...</td>\n",
              "      <td>https://www.tiktok.com/@nutrifersanort</td>\n",
              "      <td>https://p16-sign-va.tiktokcdn.com/tos-maliva-a...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2023-07-25</td>\n",
              "      <td>bhgdee</td>\n",
              "      <td>D💲</td>\n",
              "      <td>Ig-bhg.dee📸\\nSc-dannieo2099 👻\\nFb- frank matth...</td>\n",
              "      <td>0.122283</td>\n",
              "      <td>0.008152</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>276</td>\n",
              "      <td>2262</td>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 1000,\n  \"fields\": [\n    {\n      \"column\": \"timestamp\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"2023-08-01\",\n          \"2023-08-02\",\n          \"2023-07-29\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"account_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1000,\n        \"samples\": [\n          \"dylanhaegens\",\n          \"mellowy971\",\n          \"tmax._0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nickname\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 998,\n        \"samples\": [\n          \"\\ud83e\\udd0d\",\n          \"Bastos\",\n          \"Natasha Solis\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"biography\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 986,\n        \"samples\": [\n          \"\\u0627\\u0646\\u0633\\u062a\\u0627\\ud83d\\udc47\\niqeim.p\",\n          \"\\u2698 Aether/Diluc Main \\u0b6d\\u0325\\n\\u2698 Zhongli no vino a casita \\ud83d\\ude2d \\u0b6d\\u0325\\n\\u2698 Xiaoehter best ship \\u0b6d\\u0325\",\n          \"61\\ud83c\\uddf9\\ud83c\\uddf7\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"awg_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2220552888136265,\n        \"min\": 9.08381051535e-05,\n        \"max\": 63.375,\n        \"num_unique_values\": 1000,\n        \"samples\": [\n          0.0321967619047619,\n          0.0029717560376586,\n          1.6277777777777778\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"comment_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14001612118113854,\n        \"min\": 0.0,\n        \"max\": 2.0,\n        \"num_unique_values\": 987,\n        \"samples\": [\n          0.0008569476971116,\n          0.0111434511434511,\n          2.3923444976e-05\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"like_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.1597880351534164,\n        \"min\": 0.0,\n        \"max\": 63.0,\n        \"num_unique_values\": 998,\n        \"samples\": [\n          0.3846153846153846,\n          0.1353906980969251,\n          0.0049654630388098\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"bio_link\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 191,\n        \"samples\": [\n          \"https://linktr.ee/sian.owenx\",\n          \"https://linktr.ee/killinitkin\",\n          \"https://www.snapchat.com/add/sh3bool?share_id=RTUxNDk2&locale=ar_SA@calendar=gregorian\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_verified\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"followers\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 669827,\n        \"min\": 1,\n        \"max\": 14500000,\n        \"num_unique_values\": 867,\n        \"samples\": [\n          6347,\n          8941\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"following\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2072,\n        \"min\": 0,\n        \"max\": 10000,\n        \"num_unique_values\": 665,\n        \"samples\": [\n          440,\n          1058\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"likes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31280206,\n        \"min\": 3,\n        \"max\": 863500000,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          5679,\n          212400\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"videos_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 464,\n        \"min\": 1,\n        \"max\": 5394,\n        \"num_unique_values\": 461,\n        \"samples\": [\n          1384,\n          15\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"create_time\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": null,\n        \"min\": null,\n        \"max\": null,\n        \"num_unique_values\": 0,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1870751662636666880,\n        \"min\": 161000,\n        \"max\": 7253325688915575850,\n        \"num_unique_values\": 1000,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"top_videos\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1000,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 551,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"profile_pic_url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1000,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# check the engagment ratings\n",
        "data=data[ ['awg_engagement_rate', 'comment_engagement_rate', 'like_engagement_rate', 'followers', 'following', 'likes', 'videos_count'] ]\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "I2W8L6iCO-qA",
        "outputId": "727a3fb3-719d-4f00-b81e-186296d0bebe"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     awg_engagement_rate  comment_engagement_rate  like_engagement_rate  \\\n",
              "0               0.049630                 0.004473              0.045157   \n",
              "1               0.059322                 0.004358              0.054964   \n",
              "2               0.001399                 0.000058              0.001341   \n",
              "3               0.469767                 0.004651              0.465116   \n",
              "4               0.122283                 0.008152              0.114130   \n",
              "..                   ...                      ...                   ...   \n",
              "995             0.076391                 0.004584              0.071807   \n",
              "996             0.463636                 0.004545              0.459091   \n",
              "997             0.072184                 0.001001              0.071183   \n",
              "998             0.073662                 0.003555              0.070107   \n",
              "999             0.017046                 0.000612              0.016434   \n",
              "\n",
              "     followers  following   likes  videos_count  \n",
              "0         1755       1443    1586            20  \n",
              "1          354       1422    3843           225  \n",
              "2         1960        243   24000           228  \n",
              "3           43         41     100             5  \n",
              "4          276       2262     126             4  \n",
              "..         ...        ...     ...           ...  \n",
              "995        956        294    4028           110  \n",
              "996         55        226     101             4  \n",
              "997      12100        256  102400            89  \n",
              "998       2763       8059   18300           216  \n",
              "999       5972        930  182100           332  \n",
              "\n",
              "[1000 rows x 7 columns]"
            ],
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              "      <th></th>\n",
              "      <th>awg_engagement_rate</th>\n",
              "      <th>comment_engagement_rate</th>\n",
              "      <th>like_engagement_rate</th>\n",
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              "      <th>0</th>\n",
              "      <td>0.049630</td>\n",
              "      <td>0.004473</td>\n",
              "      <td>0.045157</td>\n",
              "      <td>1755</td>\n",
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              "      <td>1586</td>\n",
              "      <td>20</td>\n",
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              "      <td>0.004358</td>\n",
              "      <td>0.054964</td>\n",
              "      <td>354</td>\n",
              "      <td>1422</td>\n",
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              "      <td>225</td>\n",
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              "      <th>2</th>\n",
              "      <td>0.001399</td>\n",
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              "      <td>1960</td>\n",
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              "      <th>4</th>\n",
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              "      <td>276</td>\n",
              "      <td>2262</td>\n",
              "      <td>126</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.076391</td>\n",
              "      <td>0.004584</td>\n",
              "      <td>0.071807</td>\n",
              "      <td>956</td>\n",
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              "      <td>110</td>\n",
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              "      <th>996</th>\n",
              "      <td>0.463636</td>\n",
              "      <td>0.004545</td>\n",
              "      <td>0.459091</td>\n",
              "      <td>55</td>\n",
              "      <td>226</td>\n",
              "      <td>101</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>997</th>\n",
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              "      <td>0.001001</td>\n",
              "      <td>0.071183</td>\n",
              "      <td>12100</td>\n",
              "      <td>256</td>\n",
              "      <td>102400</td>\n",
              "      <td>89</td>\n",
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              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.073662</td>\n",
              "      <td>0.003555</td>\n",
              "      <td>0.070107</td>\n",
              "      <td>2763</td>\n",
              "      <td>8059</td>\n",
              "      <td>18300</td>\n",
              "      <td>216</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>0.017046</td>\n",
              "      <td>0.000612</td>\n",
              "      <td>0.016434</td>\n",
              "      <td>5972</td>\n",
              "      <td>930</td>\n",
              "      <td>182100</td>\n",
              "      <td>332</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>1000 rows × 7 columns</p>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 1000,\n  \"fields\": [\n    {\n      \"column\": \"awg_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.2220552888136265,\n        \"min\": 9.08381051535e-05,\n        \"max\": 63.375,\n        \"num_unique_values\": 1000,\n        \"samples\": [\n          0.0321967619047619,\n          0.0029717560376586,\n          1.6277777777777778\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"comment_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14001612118113854,\n        \"min\": 0.0,\n        \"max\": 2.0,\n        \"num_unique_values\": 987,\n        \"samples\": [\n          0.0008569476971116,\n          0.0111434511434511,\n          2.3923444976e-05\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"like_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.1597880351534164,\n        \"min\": 0.0,\n        \"max\": 63.0,\n        \"num_unique_values\": 998,\n        \"samples\": [\n          0.3846153846153846,\n          0.1353906980969251,\n          0.0049654630388098\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"followers\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 669827,\n        \"min\": 1,\n        \"max\": 14500000,\n        \"num_unique_values\": 867,\n        \"samples\": [\n          6347,\n          8941,\n          60200\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"following\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2072,\n        \"min\": 0,\n        \"max\": 10000,\n        \"num_unique_values\": 665,\n        \"samples\": [\n          440,\n          1058,\n          925\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"likes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31280206,\n        \"min\": 3,\n        \"max\": 863500000,\n        \"num_unique_values\": 844,\n        \"samples\": [\n          5679,\n          212400,\n          110100\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"videos_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 464,\n        \"min\": 1,\n        \"max\": 5394,\n        \"num_unique_values\": 461,\n        \"samples\": [\n          1384,\n          15,\n          132\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Define thresholds for categorization\n",
        "high_threshold = 0.035\n",
        "low_threshold = 0.01\n",
        "\n",
        "# High engagement profiles\n",
        "high_engagement = data.query('awg_engagement_rate >= @high_threshold and like_engagement_rate <= 0.06')\n",
        "\n",
        "# Average engagement profiles\n",
        "average_engagement = data.query('awg_engagement_rate < @high_threshold and awg_engagement_rate >= @low_threshold and like_engagement_rate <= 0.06')\n",
        "\n",
        "# Low engagement profiles\n",
        "low_engagement = data.query('awg_engagement_rate < @low_threshold and like_engagement_rate <= 0.06')"
      ],
      "metadata": {
        "id": "cJWQsD9GPaiM"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"High Engagement:\")\n",
        "print(high_engagement)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bpkOMJDoPwRr",
        "outputId": "001e20e5-02af-4f5f-bbf2-c2637e21ecab"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "High Engagement:\n",
            "     awg_engagement_rate  comment_engagement_rate  like_engagement_rate  \\\n",
            "0               0.049630                 0.004473              0.045157   \n",
            "1               0.059322                 0.004358              0.054964   \n",
            "14              0.054740                 0.000299              0.054440   \n",
            "22              0.051739                 0.006661              0.045077   \n",
            "23              0.045433                 0.005229              0.040205   \n",
            "..                   ...                      ...                   ...   \n",
            "958             0.038959                 0.000395              0.038565   \n",
            "959             0.043898                 0.000554              0.043344   \n",
            "962             0.040744                 0.000148              0.040596   \n",
            "963             0.035976                 0.001481              0.034495   \n",
            "976             0.053846                 0.000435              0.053411   \n",
            "\n",
            "     followers  following     likes  videos_count  \n",
            "0         1755       1443      1586            20  \n",
            "1          354       1422      3843           225  \n",
            "14      288400        120   2300000           334  \n",
            "22        1042       1423      1717            34  \n",
            "23        1694       1673      2387            28  \n",
            "..         ...        ...       ...           ...  \n",
            "958     474000        666  18100000          1763  \n",
            "959      77600        389   3100000           240  \n",
            "962      85300       1343    317300           178  \n",
            "963        656        587      3501           250  \n",
            "976       2756       3714     33600           184  \n",
            "\n",
            "[103 rows x 7 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Average Engagement:\")\n",
        "print(average_engagement)"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iXc_t9MlQMVo",
        "outputId": "2c1a9a6e-0757-48f6-8fcc-d3b2b497abc3"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Average Engagement:\n",
            "     awg_engagement_rate  comment_engagement_rate  like_engagement_rate  \\\n",
            "11              0.013430                 0.000577              0.012853   \n",
            "16              0.019008                 0.000180              0.018828   \n",
            "19              0.022765                 0.001413              0.021353   \n",
            "35              0.017234                 0.000633              0.016601   \n",
            "38              0.024047                 0.000158              0.023889   \n",
            "..                   ...                      ...                   ...   \n",
            "970             0.021499                 0.000720              0.020779   \n",
            "972             0.016050                 0.000560              0.015490   \n",
            "973             0.017954                 0.001203              0.016751   \n",
            "988             0.019536                 0.000319              0.019216   \n",
            "999             0.017046                 0.000612              0.016434   \n",
            "\n",
            "     followers  following    likes  videos_count  \n",
            "11        1336       1233     1025            36  \n",
            "16      131900         69  4400000           287  \n",
            "19       80400        328   591400           231  \n",
            "35        2258         74     3274            38  \n",
            "38       20600        451   122000           274  \n",
            "..         ...        ...      ...           ...  \n",
            "970        913       3471      911            59  \n",
            "972       8210        244   104100           663  \n",
            "973       5105       5091    30300           248  \n",
            "988       2596        785    20900            78  \n",
            "999       5972        930   182100           332  \n",
            "\n",
            "[208 rows x 7 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Low Engagement:\")\n",
        "print(low_engagement)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ca1MabczQOiM",
        "outputId": "fdf01aff-8a38-4e9b-aab9-f2841a297720"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Low Engagement:\n",
            "     awg_engagement_rate  comment_engagement_rate  like_engagement_rate  \\\n",
            "2               0.001399                 0.000058              0.001341   \n",
            "5               0.008076                 0.000048              0.008028   \n",
            "6               0.001783                 0.000010              0.001773   \n",
            "7               0.005706                 0.000652              0.005054   \n",
            "13              0.002668                 0.000140              0.002528   \n",
            "..                   ...                      ...                   ...   \n",
            "977             0.002843                 0.000058              0.002785   \n",
            "979             0.001722                 0.000040              0.001682   \n",
            "982             0.002964                 0.000013              0.002951   \n",
            "986             0.003477                 0.000106              0.003371   \n",
            "990             0.005999                 0.000400              0.005599   \n",
            "\n",
            "     followers  following    likes  videos_count  \n",
            "2         1960        243    24000           228  \n",
            "5       108200        385  2000000           462  \n",
            "6       871100        268  9000000           688  \n",
            "7         3701       2961     1667            75  \n",
            "13        6231       4459    29500           301  \n",
            "..         ...        ...      ...           ...  \n",
            "977       2038       1916     7401           932  \n",
            "979     104700        116   380400           190  \n",
            "982      31500        389   264400           604  \n",
            "986      32100          3   255500          1755  \n",
            "990       3715       4379    12900           268  \n",
            "\n",
            "[220 rows x 7 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "9tEjXnhxQQe7",
        "outputId": "659deb4e-c0d9-47e1-afc6-f3185dc33fff"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         awg_engagement_rate  comment_engagement_rate  \\\n",
              "awg_engagement_rate                 1.000000                 0.462146   \n",
              "comment_engagement_rate             0.462146                 1.000000   \n",
              "like_engagement_rate                0.999228                 0.426941   \n",
              "followers                          -0.026549                -0.031347   \n",
              "following                          -0.075161                -0.086789   \n",
              "likes                              -0.017145                -0.019964   \n",
              "videos_count                       -0.093431                -0.105908   \n",
              "\n",
              "                         like_engagement_rate  followers  following     likes  \\\n",
              "awg_engagement_rate                  0.999228  -0.026549  -0.075161 -0.017145   \n",
              "comment_engagement_rate              0.426941  -0.031347  -0.086789 -0.019964   \n",
              "like_engagement_rate                 1.000000  -0.025683  -0.072796 -0.016598   \n",
              "followers                           -0.025683   1.000000  -0.051997  0.917610   \n",
              "following                           -0.072796  -0.051997   1.000000 -0.039398   \n",
              "likes                               -0.016598   0.917610  -0.039398  1.000000   \n",
              "videos_count                        -0.090580   0.245511   0.155958  0.266047   \n",
              "\n",
              "                         videos_count  \n",
              "awg_engagement_rate         -0.093431  \n",
              "comment_engagement_rate     -0.105908  \n",
              "like_engagement_rate        -0.090580  \n",
              "followers                    0.245511  \n",
              "following                    0.155958  \n",
              "likes                        0.266047  \n",
              "videos_count                 1.000000  "
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-b7890193-3253-4e84-8d57-d381c584ef96 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b7890193-3253-4e84-8d57-d381c584ef96');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-bbc63a1a-5ac4-4133-9dbe-88cc47892042\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bbc63a1a-5ac4-4133-9dbe-88cc47892042')\"\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-bbc63a1a-5ac4-4133-9dbe-88cc47892042 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 7,\n  \"fields\": [\n    {\n      \"column\": \"awg_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5007966378578622,\n        \"min\": -0.09343132057274492,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          1.0,\n          0.46214552417381444,\n          -0.017144765803635206\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"comment_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4142010609407396,\n        \"min\": -0.10590820359355343,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          0.46214552417381444,\n          1.0,\n          -0.01996352475856482\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"like_engagement_rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.49846283915603085,\n        \"min\": -0.09057950139048676,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          0.9992276158942724,\n          0.42694076127139663,\n          -0.016598001969688945\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"followers\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.46905158368602595,\n        \"min\": -0.051996504484824346,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.026548552317816408,\n          -0.031347013706226626,\n          0.9176096241919304\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"following\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3976364023818881,\n        \"min\": -0.08678911611603113,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.07516070142489034,\n          -0.08678911611603113,\n          -0.03939751381517766\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"likes\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.46385416889368164,\n        \"min\": -0.03939751381517766,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.017144765803635206,\n          -0.01996352475856482,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"videos_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3899614636572613,\n        \"min\": -0.10590820359355343,\n        \"max\": 1.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.09343132057274492,\n          -0.10590820359355343,\n          0.266046863479921\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Compute the correlation matrix\n",
        "correlation_matrix = data.corr()\n",
        "\n",
        "# Set up the matplotlib figure\n",
        "plt.figure(figsize=(10, 8))\n",
        "\n",
        "# Draw the heatmap\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f')\n",
        "\n",
        "plt.title('Correlation Matrix Heatmap')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 881
        },
        "id": "CRs5nLnDQqlf",
        "outputId": "e5e3b9f6-e96b-4d6a-f6ec-db285d452207"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tk = pd.DataFrame(data)\n",
        "sns.pairplot(tk)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lhp9eFgLQ1mm",
        "outputId": "3bba9aa3-e699-42bb-efb0-7b72baf134c7"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1750x1750 with 56 Axes>"
            ],
            "image/png": 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RyWm3yh8KKxK7hgt0fvfWzv2y87ywvNimQ0eUZl1HrnTXvwIoHD2J1w/3e9XiC6nVF1RNuVOBcESe9pDKnFaV2q0qKuroG1raQyov7uhz2jv7lzJnRz8Z+wF2id2qZX9+V0ePcWlGXY1CkagqO/vW/d6Aim3WePkbd+yXxSIde0iVRruKFYpGtb8toGg0qoOrSrTH7VNNuVORaFT72gIKR6LasH2/3tnp1nXzJuqDfW2qqXCq1ddxnGxq8WvLnhadcNgIRaJSib1IkkUvNe7VyLJiTTrEJY8vpKpSuzztIV30wKtp3925cu02LV8wTfWjytUe7OhfKks6+mB3e0cfcN2jb+mlxgNJstgPbj51RLWK7UWqLHX0636HlP4+utSz+1MDjWuS3uNJri5+85vf6KqrrtJ9992nU045RXfffbfmzp2rLVu2aNSo1OEVeuqwMpu85U4tffTNhIvvGXXVuvmcKVI0qq/88m/x4RZm1FXrB5+fpP1tfkWjFrUHw7r012/IGwhrzoRRuuazx+iuv7yny+ccrev+7620Zf7wqff0xFu749Nn1dfo5nMm68bH39Gz7+6NT2+oq9bFM2r1SVtQv1z7/pB7V8FAjHnetYyuY81naivGWU9lUpscVmaT15I5Xptbvfr52m36j1MO0yN/266lZ07Q3c/+Q18+ebyKbRaFI9LyvzYmfHbOMaN03byJ+t5jbyaMsdxQV63LZtfLapEufOA1eQNhlTqsHY9f/7UxYdkZddW6qMvNvdjNu2VPvht/iWdP2jndMrGyHvrbB/rPWUfqsINKdXAPvpeOF6NuTjjRiG1TujJ6uh9s39ema9O0/63nTtH46rJelZUruVz/QJXd13Ly3ba9MRD96/+s/5euP2uS9rb6dc+z/0iJ0YUNtfrK/a/qhMNG6JY0/Wi2/vX6sybphj+9ree7vIOkUNuyt/qzn+xqbtcHn3i1/PmtCd/bzPoa3Z7l8ybtm4PFtDZp9gb1ncfSx6vV4tV/P7tNC045TN/63d/jfd3np45VqcOa8v6AWHxGFNHlD2/Uohm1WtRQK38oIqetSBt3NOvyhzfqN/91atY6dR3exLT2BHKlxhZWe5FT25vbtfyvjdq4vVn3/sfxCoQjWpF0njuzrkZLZteppsIhm7VI3330TX3/85P0wLpt2ri9WfcsmKYbH387Je6/d9YkLXnoDTW1BlLOc+dMGKXrzjpG1z36Vsq7Pb5x+pG6+MHXE5LdCxtq9dX7X9W08VUdyfD7X9UJ40doyewj1RYI6/6121LW33V9syeM1DVnHqOP3O0p2xe7/r758Xf0UuO+jNeDM+tqtPj0I7UoqW5LTq+TRdKptdW68+ktac/vY8e8mXU1WjjjcH3SFtDy5xq1Yft+3bNgmu54ekvW+s+sr9Hi047Ukoc36rb5U3XXs/9ISfpff9Yk3fjkOwnnJJ+ZMFLXfPYYWaSUc+9Yu17wwGs6fnyVvnfWJP34uS2af8I4Pfy3D7TglMMSrkuWnF4nXzCixQ913LfoWkdJWnnRSbr3+Ua91NhxTf3T84+X01akn7/0vv7jlMNS27O+RktOr9Pih97QbfOnxtugJ9fj6WS6vrjpnMna5fYqEIqmXMMlt/OMumrdcu4UHdZ5PQIAffHBvjZ959E3433k3c8duCZKvh+U6ZjX9bj7+9d36Jp/P0bXPfam7n52a8IyHT8QO9A/vvWhW1+bVau2QFg3P/lO2r759qfeTegrZtbV6Fv/frSKLNIvu/SnpQ6rHrjoJK3d+rGW/fm9+PKzJ4zUdz57jG7449u6evXm+PRHvnZK1vfwWi0WfefRN3Xc+BHx+bFt2NcWTElwpSurr/c7ZtbXaPHpdVq06rV4Hz6rvkZ3zJ+qQDjS7f2pgcY1Sd/wJFcXp5xyik466SStWLFCkhSJRDRu3Dhddtlluuaaa7J+Nlumfse+Nl2TFBAxM+qq9d15x2hnsy/hMdEZddVaMrtO73/cJoukj9w+rXi+UUtm12nj9v1a1FCrlWnGPI99dmFDbUJ5seldDxYxM+uqdeaUg/WdR99KKWtWfY2RL/SVOrLeSx7emPZx2J5uV3IZsfZP1+6z6mv0wy8eq2/97u/9WudQMxDfw0DrT7zecu4U/W7Dh9q4fb+mjR+hv2/fr4saarXq5X9p8elHavnzjSmfzbbfNNRV66wpB6fEeKZlpyV1+NPGj9DmHc092vckZfwuYmVt3L5fZ00dq89OHpP1e3F7A1ry0MaEE42EbUoqo6f7wR6PT1f9dlPG9r/zS8ep2FaU130ql/v0QJXd13KGWrz2tH89pLJYT765K+2LfrvGXaZ+tLfTTe8P+rOfuL0BPfnWbj2+eWfGvjTd5wtx38y3QmyTbPH64X6vlq7enDFel507Rb/p0r/G4mZmXbWO7fL3H5c06OMWvzbuaNa7O90dY/9nOCduqKvOes7ctZ0KsT2BXOquf13b2KTH39yldY37tGR2ncZWFuuJzr+Tzayr1menHKzakWUqddh0+1PvxT+X6bw2+Zq1a3/bm/Ph5Gld///WcyfryTd3JSTK0n0m2/Yl16Uvdbtsdp1WPN/YbT1ibRm7Nu/tdUF39wiSz0mWzK7TjLrqtNcvyeuIfV8r122LXzMkr3/elIO1s/OapuvnJaW04SGVxXr8zV3xsjLtVxclbVN31+PpjtXZri9m1lVr8ey6HrVBrB1vmz910J/o4kkuwBw9PR9OdzzrbZ8zb8rBGu0q1qp127q9lo39/9jOa990fVK2+8afnXKwru1y33jJ7Dpt2r4/pZxMdb7/whN7dB/7/gtPTLh+b6ir1n/NOlIXrHy123VIfb/fka4Pf+Q/T035YWbXOt/5peMG/Ikurkn6rqj7RYaHQCCgDRs2aM6cOfFpRUVFmjNnjtavX5+yvN/vl8fjSfiXSWsgnPFdAGsb9ykqi0a5nCnTy5w2jXYVa5SrOP5C3mnjqrSucZ9GuZxZy0wuLzY9+cW+kvRS476MQWniC31jBuJFxcllxNo/U5n724bWy5EHQiG8MHog49UbCMf3g2njqvRSZ7y9tLVJZU5b2s9m22864jk1xjMt2zWGY3/3dN/L9l3EylrXuE+jKpzdfi9NrYG0Ca74NiWV0dP9YH9bIGv772/L/0vIc7n+gSq7r+Xku22l/PSvo1zFaS8KpMS4y9SP9na66f1Bf/aTptaARlVkPofJ9PlC2DcLTSG0SW/itcUXyhqvrUn9a8xLSX9/uL9dFz/4ujZu36+lZx6j1Rt2aGFDrRrqqhPKjF0sL129WQsbajUjaf6szicHYxeJhdCeQC71tn8d5SqOx+y0cR3DGmWK4Zc6z2fLnDbZurxnL9t5bfI1a9fY7835cPK0rv8/2lWc9iZeuvVl2r7kuvSlbmVOW4/qISVem/f2uqC7ewTJdZs2rirj9UvyOtZ2KT/dsXpdZ73TXauka8PY/pVtG19Ks03dXY+nO1Znu754qfP76Wk7r23cpxZfKO2yA6k38Qogv/p6PpzueNbbPqfjmtbZo2vZ2P9n6xuz3TcelXTfeNq4qrTlZKqzxWLJ2kdZLBZJHa/zSN6GEWX2hGl96Quk7Of76frwMqc1a533tw389QHXJH3HcIWdmpqaFA6HNXr06ITpo0eP1nvvvZey/LJly3TDDTf0qGxPe/YX4ra0BxVJ8zxdqy+cEtyxv1t94axlZpqfXF5306XBeaFvLni6qXdPtiu5jGzt1LF89hNeU9uyPwbie+ivgY7X2H6QHI+9jbt083uzbNe/e7LvdffYbtft6u576e57TS6jp/tBd9vh8YVkt1p6VFau5HKfHqiy+1rOUIzXnvav2fQkRns73eT+oD/7iccX7Lbt032+EPbNQlMIbZLr/jWm69+HVZfqqW/OlLWo492U3//8ZLX5Q/rB5yYpHInKGwh3vOuluON9ML+84ES5Suy680vHqdUXUkvnO4FqyhPHtS+E9gRyqbfx2pvz09gyrb6wiizhhGnZJJ87ZzoGpFtXtmm9LSfbctmORz2tW3fX7pnW0dt19WU9vflMbNmeHKt7Oq2v+0gm6c8hsl9f9LbdCq1/BZBffT0f7skxsyf9QG+OYT3tz3syvbfXv75g9nrG5jttqc/jhMJRNdRVxxNOfekLpJ7dx+qqu7btrn/pC65J+o4nufro2muvldvtjv/bsWNHxmVdJfaM8ySposSu8mJryvTyYquctqL4P+lAsKdbPvmz6aQ7WGSbLiW+q8Akrm7q3ZPtSi4jWzt1LJ89b2xqW/bHQHwP/TXQ8ZopHnsbd13nJ5eZbdl0f/dk3+vuu+hah+6+l56U1bWMnu4H3W2Hq9iW930ql+sfqLL7Wk6+21bKT//am7jrbT+aabrJ/UF/9hNXsb3b9k73+ULYNwtNIbRJrvvXmNjfM+uqNaLErgkHu1Q/ukK1I8s12lWsI0aWq350hSYc7NLxh43QkaMOTD9u/Agd0bnckaM6/j5yVHnKMB+F0J5ALvU2XpP7vp70leXFVlV0ifXuPpPcR/f1fDh5Wm/LybZ9mY5Hvalbd9fumdbR23X1ZT29+Uxs2WzH6t5O6+s+kkn6c4js1xe9bbdC618B5Fdfz4e768syLZM8vzfHsN5e+/albn257xyb31BXrY07mlPmub3BhJEb+tIXSD27j9VVd23bXf/SF1yT9B1Jrk41NTWyWq3as2dPwvQ9e/ZozJgxKcs7nU65XK6Ef5lUFNtShkiJmVFXLYui2uvxp0xv84e0x+PTXo8vHuQbdzRrRl219nr8WctMLi82Pd3BYmZdtfZ4fGnLmlVfo5pyM8f6rCl3aFZ9Tdp5Pd2u5DI27mhOGQ6na5kjyvq/zqFmIL6H/hrIeC11WOP7wcYdzZrZGW8z62vU5g+l3T9icZtOQ111Soxn2seSO/zY3z3d97J9F7GyGuqqtbfF3+330l1ZyWX0dD8YUebI2v4jyrJvx2DsU7lc/0CV3ddy8t22Un76170en2Z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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_likes_followers_correlation(df):\n",
        "    # Set up the plot\n",
        "    plt.figure(figsize=(10, 6))\n",
        "\n",
        "    # Create the regression plot\n",
        "    sns.regplot(\n",
        "        x='likes',\n",
        "        y='followers',\n",
        "        data=data,\n",
        "        scatter_kws={'s': 10, 'color': 'red', 'alpha': 0.5},\n",
        "        line_kws={'color': 'blue'}\n",
        "    )\n",
        "\n",
        "    # Customize the plot\n",
        "    plt.xscale('log')\n",
        "    plt.yscale('log')\n",
        "    plt.xlabel('Likes (log scale)')\n",
        "    plt.ylabel('Followers (log scale)')\n",
        "    plt.title('Correlation between Likes and Followers')\n",
        "\n",
        "    # Add grid for better readability\n",
        "    plt.grid(True, which=\"both\", ls=\"-\", alpha=0.2)\n",
        "\n",
        "    # Improve layout and display\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "# Assuming 'df' is your DataFrame\n",
        "plot_likes_followers_correlation(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "q0S_Q2yFQ8Qh",
        "outputId": "449320d1-9573-4da0-af5d-2570363cd259"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n",
        "from sklearn.metrics import accuracy_score, f1_score, precision_score, confusion_matrix"
      ],
      "metadata": {
        "id": "CzhjaX0DUW-6"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define the threshold for classification\n",
        "threshold = 0.06\n",
        "data['engagement_category'] = (data['like_engagement_rate'] >= threshold).astype(int)\n",
        "\n",
        "# Setting X and y\n",
        "X = data[['awg_engagement_rate']]\n",
        "y = data['engagement_category']\n",
        "\n",
        "# Train/test split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "# Linear Regression Model (for regression)\n",
        "lr_model = LinearRegression()\n",
        "lr_model.fit(X_train, y_train)\n",
        "\n",
        "# Predict\n",
        "y_pred_lr = lr_model.predict(X_test)\n",
        "\n",
        "# MSE\n",
        "mse = mean_squared_error(y_test, y_pred_lr)\n",
        "print(f\"Linear Regression Mean Squared Error: {mse}\")\n",
        "\n",
        "# R-squared (coefficient of determination)\n",
        "r2 = r2_score(y_test, y_pred_lr)\n",
        "print(f\"Linear Regression R-squared: {r2}\")\n",
        "\n",
        "# Mean Absolute Error (MAE)\n",
        "mae = mean_absolute_error(y_test, y_pred_lr)\n",
        "print(f\"Linear Regression Mean Absolute Error: {mae}\")\n",
        "\n",
        "# Logistic Regression Model\n",
        "log_reg_model = LogisticRegression()\n",
        "log_reg_model.fit(X_train, y_train)\n",
        "\n",
        "# Predict\n",
        "y_pred_log_reg = log_reg_model.predict(X_test)\n",
        "\n",
        "# Evaluation metrics for classification\n",
        "accuracy_log_reg = accuracy_score(y_test, y_pred_log_reg)\n",
        "f1_log_reg = f1_score(y_test, y_pred_log_reg)\n",
        "precision_log_reg = precision_score(y_test, y_pred_log_reg)\n",
        "\n",
        "print(f\"Logistic Regression Accuracy: {accuracy_log_reg}\")\n",
        "print(f\"Logistic Regression F1 Score: {f1_log_reg}\")\n",
        "print(f\"Logistic Regression Precision: {precision_log_reg}\")\n",
        "\n",
        "# K-Nearest Neighbors (KNN) Model\n",
        "knn_model = KNeighborsClassifier()\n",
        "knn_model.fit(X_train, y_train)\n",
        "\n",
        "# Predict\n",
        "y_pred_knn = knn_model.predict(X_test)\n",
        "\n",
        "# Evaluation metrics for classification\n",
        "accuracy_knn = accuracy_score(y_test, y_pred_knn)\n",
        "f1_knn = f1_score(y_test, y_pred_knn)\n",
        "precision_knn = precision_score(y_test, y_pred_knn)\n",
        "\n",
        "print(f\"KNN Accuracy: {accuracy_knn}\")\n",
        "print(f\"KNN F1 Score: {f1_knn}\")\n",
        "print(f\"KNN Precision: {precision_knn}\")\n",
        "\n",
        "# Support Vector Machine (SVM) Model\n",
        "svm_model = SVC()\n",
        "svm_model.fit(X_train, y_train)\n",
        "\n",
        "# Predict\n",
        "y_pred_svm = svm_model.predict(X_test)\n",
        "\n",
        "# Evaluation metrics for classification\n",
        "accuracy_svm = accuracy_score(y_test, y_pred_svm)\n",
        "f1_svm = f1_score(y_test, y_pred_svm)\n",
        "precision_svm = precision_score(y_test, y_pred_svm)\n",
        "\n",
        "print(f\"SVM Accuracy: {accuracy_svm}\")\n",
        "print(f\"SVM F1 Score: {f1_svm}\")\n",
        "print(f\"SVM Precision: {precision_svm}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "26h7vOxvUcmk",
        "outputId": "f432ccdb-7afc-4285-f85f-5d4144b53c2c"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Linear Regression Mean Squared Error: 0.2395733547798368\n",
            "Linear Regression R-squared: 0.03824426021743532\n",
            "Linear Regression Mean Absolute Error: 0.4873119702882586\n",
            "Logistic Regression Accuracy: 0.88\n",
            "Logistic Regression F1 Score: 0.8536585365853657\n",
            "Logistic Regression Precision: 1.0\n",
            "KNN Accuracy: 1.0\n",
            "KNN F1 Score: 1.0\n",
            "KNN Precision: 1.0\n",
            "SVM Accuracy: 0.8\n",
            "SVM F1 Score: 0.7297297297297298\n",
            "SVM Precision: 1.0\n"
          ]
        }
      ]
    }
  ]
}