most-subscribed-youtube-channel-analysisold.ipynb

{
 "cells": [
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   "cell_type": "code",
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   "id": "c30c7cac",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13620617",
   "metadata": {
    "papermill": {
     "duration": 0.009376,
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     "start_time": "2023-04-08T12:43:52.778549",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**1. Import Libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "c498db61",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# data\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# visualization\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "315a000c",
   "metadata": {
    "papermill": {
     "duration": 0.010715,
     "end_time": "2023-04-08T12:43:55.692333",
     "exception": false,
     "start_time": "2023-04-08T12:43:55.681618",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**2. Read Dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "2d9b83a4",
   "metadata": {
    "execution": {
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     "end_time": "2023-04-08T12:43:55.762040",
     "exception": false,
     "start_time": "2023-04-08T12:43:55.701951",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Rank</th>\n",
       "      <th>Youtube Channel</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Video Views</th>\n",
       "      <th>Video Count</th>\n",
       "      <th>Category</th>\n",
       "      <th>Started</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>T-Series</td>\n",
       "      <td>234,000,000</td>\n",
       "      <td>212,900,271,553</td>\n",
       "      <td>18,515</td>\n",
       "      <td>Music</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>YouTube Movies</td>\n",
       "      <td>161,000,000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Cocomelon - Nursery Rhymes</td>\n",
       "      <td>152,000,000</td>\n",
       "      <td>149,084,178,448</td>\n",
       "      <td>846</td>\n",
       "      <td>Education</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>SET India</td>\n",
       "      <td>150,000,000</td>\n",
       "      <td>137,828,094,104</td>\n",
       "      <td>103,200</td>\n",
       "      <td>Shows</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>MrBeast</td>\n",
       "      <td>128,000,000</td>\n",
       "      <td>21,549,128,785</td>\n",
       "      <td>733</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank             Youtube Channel  Subscribers      Video Views Video Count  \\\n",
       "0     1                    T-Series  234,000,000  212,900,271,553      18,515   \n",
       "1     2              YouTube Movies  161,000,000                0           0   \n",
       "2     3  Cocomelon - Nursery Rhymes  152,000,000  149,084,178,448         846   \n",
       "3     4                   SET India  150,000,000  137,828,094,104     103,200   \n",
       "4     5                     MrBeast  128,000,000   21,549,128,785         733   \n",
       "\n",
       "           Category  Started  \n",
       "0             Music     2006  \n",
       "1  Film & Animation     2015  \n",
       "2         Education     2006  \n",
       "3             Shows     2006  \n",
       "4     Entertainment     2012  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"topSubscribed.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37f7e201",
   "metadata": {
    "papermill": {
     "duration": 0.009581,
     "end_time": "2023-04-08T12:43:55.781827",
     "exception": false,
     "start_time": "2023-04-08T12:43:55.772246",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**3. Data Processing**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "8615d14d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:55.803375Z",
     "iopub.status.busy": "2023-04-08T12:43:55.802858Z",
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     "shell.execute_reply": "2023-04-08T12:43:55.809433Z"
    },
    "papermill": {
     "duration": 0.0215,
     "end_time": "2023-04-08T12:43:55.813100",
     "exception": false,
     "start_time": "2023-04-08T12:43:55.791600",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                int64\n",
       "Youtube Channel    object\n",
       "Subscribers        object\n",
       "Video Views        object\n",
       "Video Count        object\n",
       "Category           object\n",
       "Started             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n",
    "df.dtypes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "9cd9c1e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Youtube Channel</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Video Views</th>\n",
       "      <th>Video Count</th>\n",
       "      <th>Category</th>\n",
       "      <th>Started</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>T-Series</td>\n",
       "      <td>234,000,000</td>\n",
       "      <td>212,900,271,553</td>\n",
       "      <td>18,515</td>\n",
       "      <td>Music</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>YouTube Movies</td>\n",
       "      <td>161,000,000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Cocomelon - Nursery Rhymes</td>\n",
       "      <td>152,000,000</td>\n",
       "      <td>149,084,178,448</td>\n",
       "      <td>846</td>\n",
       "      <td>Education</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>SET India</td>\n",
       "      <td>150,000,000</td>\n",
       "      <td>137,828,094,104</td>\n",
       "      <td>103,200</td>\n",
       "      <td>Shows</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>MrBeast</td>\n",
       "      <td>128,000,000</td>\n",
       "      <td>21,549,128,785</td>\n",
       "      <td>733</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank             Youtube Channel  Subscribers      Video Views Video Count  \\\n",
       "0     1                    T-Series  234,000,000  212,900,271,553      18,515   \n",
       "1     2              YouTube Movies  161,000,000                0           0   \n",
       "2     3  Cocomelon - Nursery Rhymes  152,000,000  149,084,178,448         846   \n",
       "3     4                   SET India  150,000,000  137,828,094,104     103,200   \n",
       "4     5                     MrBeast  128,000,000   21,549,128,785         733   \n",
       "\n",
       "           Category  Started  \n",
       "0             Music     2006  \n",
       "1  Film & Animation     2015  \n",
       "2         Education     2006  \n",
       "3             Shows     2006  \n",
       "4     Entertainment     2012  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "491c58a9",
   "metadata": {
    "papermill": {
     "duration": 0.01012,
     "end_time": "2023-04-08T12:43:55.967135",
     "exception": false,
     "start_time": "2023-04-08T12:43:55.957015",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Delete some column that not related.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "caf9b6d7",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Youtube Channel</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Video Views</th>\n",
       "      <th>Video Count</th>\n",
       "      <th>Category</th>\n",
       "      <th>Started</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>234,000,000</td>\n",
       "      <td>212,900,271,553</td>\n",
       "      <td>18,515</td>\n",
       "      <td>Music</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>YouTube Movies</td>\n",
       "      <td>161,000,000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cocomelon - Nursery Rhymes</td>\n",
       "      <td>152,000,000</td>\n",
       "      <td>149,084,178,448</td>\n",
       "      <td>846</td>\n",
       "      <td>Education</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SET India</td>\n",
       "      <td>150,000,000</td>\n",
       "      <td>137,828,094,104</td>\n",
       "      <td>103,200</td>\n",
       "      <td>Shows</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MrBeast</td>\n",
       "      <td>128,000,000</td>\n",
       "      <td>21,549,128,785</td>\n",
       "      <td>733</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Youtube Channel  Subscribers      Video Views Video Count  \\\n",
       "0                    T-Series  234,000,000  212,900,271,553      18,515   \n",
       "1              YouTube Movies  161,000,000                0           0   \n",
       "2  Cocomelon - Nursery Rhymes  152,000,000  149,084,178,448         846   \n",
       "3                   SET India  150,000,000  137,828,094,104     103,200   \n",
       "4                     MrBeast  128,000,000   21,549,128,785         733   \n",
       "\n",
       "           Category  Started  \n",
       "0             Music     2006  \n",
       "1  Film & Animation     2015  \n",
       "2         Education     2006  \n",
       "3             Shows     2006  \n",
       "4     Entertainment     2012  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop([\"Rank\"], axis = 1 )\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aac0561f",
   "metadata": {
    "papermill": {
     "duration": 0.010268,
     "end_time": "2023-04-08T12:43:56.031729",
     "exception": false,
     "start_time": "2023-04-08T12:43:56.021461",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Check missing values.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "ce71a2e5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.055127Z",
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     "exception": false,
     "start_time": "2023-04-08T12:43:56.042304",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Youtube Channel    0\n",
       "Subscribers        0\n",
       "Video Views        0\n",
       "Video Count        0\n",
       "Category           0\n",
       "Started            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "961a8e10",
   "metadata": {
    "papermill": {
     "duration": 0.010361,
     "end_time": "2023-04-08T12:43:56.087616",
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     "start_time": "2023-04-08T12:43:56.077255",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Check unique data of Category column*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "2c39e7f2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.111423Z",
     "iopub.status.busy": "2023-04-08T12:43:56.110546Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Music', 'Film & Animation', 'Education', 'Shows', 'Entertainment',\n",
       "       'https://us.youtubers.me/global/all/top-1000-most_subscribed-youtube-channels',\n",
       "       'Gaming', 'People & Blogs', 'Sports', 'Howto & Style',\n",
       "       'News & Politics', 'Comedy', 'Trailers', 'Nonprofits & Activism',\n",
       "       'Science & Technology', 'Movies', 'Pets & Animals',\n",
       "       'Autos & Vehicles', 'Travel & Events'], dtype=object)"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Category.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "7b6c8da7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.147803Z",
     "iopub.status.busy": "2023-04-08T12:43:56.147374Z",
     "iopub.status.idle": "2023-04-08T12:43:56.157336Z",
     "shell.execute_reply": "2023-04-08T12:43:56.156142Z"
    },
    "papermill": {
     "duration": 0.024299,
     "end_time": "2023-04-08T12:43:56.159665",
     "exception": false,
     "start_time": "2023-04-08T12:43:56.135366",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "Autos & Vehicles                                                                  1\n",
       "Comedy                                                                           68\n",
       "Education                                                                        45\n",
       "Entertainment                                                                   238\n",
       "Film & Animation                                                                 50\n",
       "Gaming                                                                           94\n",
       "Howto & Style                                                                    43\n",
       "Movies                                                                            2\n",
       "Music                                                                           217\n",
       "News & Politics                                                                  27\n",
       "Nonprofits & Activism                                                             2\n",
       "People & Blogs                                                                  132\n",
       "Pets & Animals                                                                    6\n",
       "Science & Technology                                                             18\n",
       "Shows                                                                            14\n",
       "Sports                                                                           10\n",
       "Trailers                                                                          2\n",
       "Travel & Events                                                                   1\n",
       "https://us.youtubers.me/global/all/top-1000-most_subscribed-youtube-channels     30\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Category')['Category'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a38bd21",
   "metadata": {
    "papermill": {
     "duration": 0.010551,
     "end_time": "2023-04-08T12:43:56.181327",
     "exception": false,
     "start_time": "2023-04-08T12:43:56.170776",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Found 30 rows that are unknown category as an URL. Remove that unknown category*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "390891a2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.205836Z",
     "iopub.status.busy": "2023-04-08T12:43:56.204686Z",
     "iopub.status.idle": "2023-04-08T12:43:56.213877Z",
     "shell.execute_reply": "2023-04-08T12:43:56.212806Z"
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    "papermill": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Music', 'Film & Animation', 'Education', 'Shows', 'Entertainment',\n",
       "       'Gaming', 'People & Blogs', 'Sports', 'Howto & Style',\n",
       "       'News & Politics', 'Comedy', 'Trailers', 'Nonprofits & Activism',\n",
       "       'Science & Technology', 'Movies', 'Pets & Animals',\n",
       "       'Autos & Vehicles', 'Travel & Events'], dtype=object)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df[\"Category\"] != \"https://us.youtubers.me/global/all/top-1000-most_subscribed-youtube-channels\"]\n",
    "df.Category.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "ea6fb842",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.240236Z",
     "iopub.status.busy": "2023-04-08T12:43:56.239757Z",
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     "shell.execute_reply": "2023-04-08T12:43:56.245796Z"
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(970, 6)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c10bbebf",
   "metadata": {
    "papermill": {
     "duration": 0.010746,
     "end_time": "2023-04-08T12:43:56.271380",
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     "start_time": "2023-04-08T12:43:56.260634",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "30 rows have been removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "dacfc81b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:56.295821Z",
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     "start_time": "2023-04-08T12:43:56.282557",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
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       "      <th>Started</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>970.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2012.470103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.084964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1970.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2010.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2013.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2015.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
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       "           Started\n",
       "count   970.000000\n",
       "mean   2012.470103\n",
       "std       4.084964\n",
       "min    1970.000000\n",
       "25%    2010.000000\n",
       "50%    2013.000000\n",
       "75%    2015.000000\n",
       "max    2021.000000"
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     },
     "execution_count": 89,
     "metadata": {},
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   "source": [
    "df.describe()"
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  },
  {
   "cell_type": "markdown",
   "id": "b86e0e3d",
   "metadata": {
    "papermill": {
     "duration": 0.011147,
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     "start_time": "2023-04-08T12:43:56.339084",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**4. Data Visualization**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b484a41c",
   "metadata": {
    "papermill": {
     "duration": 0.011257,
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     "exception": false,
     "start_time": "2023-04-08T12:43:56.361580",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Percentage of Youtube Channel By Category**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "210f98b2",
   "metadata": {
    "execution": {
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     "start_time": "2023-04-08T12:43:56.384680",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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        "plotlyServerURL": "https://plot.ly"
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          "yaxis": {
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        },
        "title": {
         "text": "Percentage of Youtube Channel By Category"
        }
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      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories=df['Category'].value_counts()\n",
    "fig=px.pie(values=categories.values,\n",
    "          names=categories.index,\n",
    "          color_discrete_sequence=px.colors.sequential.RdBu,\n",
    "          title=\"Percentage of Youtube Channel By Category\", template='presentation'\n",
    "          )\n",
    "fig.update_traces(textposition='inside',\n",
    "                  textfont_size=11,\n",
    "                  textinfo='percent+label')\n",
    "fig.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80eee888",
   "metadata": {
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     "duration": 0.011749,
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     "start_time": "2023-04-08T12:43:57.147752",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Entertainment, Music and People & Blogs are top 3 of category proportion*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "258fabca",
   "metadata": {
    "papermill": {
     "duration": 0.011502,
     "end_time": "2023-04-08T12:43:57.182848",
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     "start_time": "2023-04-08T12:43:57.171346",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Video views and Subscribers By Categories**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "a47fc987",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Subscribers\"] = df[\"Subscribers\"].str.replace(\",\", \"\").astype(int)\n",
    "df[\"Video Views\"] = df[\"Video Views\"].str.replace(\",\", \"\").astype(np.int64)\n",
    "df[\"Video Count\"] = df[\"Video Count\"].str.replace(\",\", \"\").astype(int)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d980783f",
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    "tags": []
   },
   "outputs": [
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   "source": [
    "fig = px.scatter(df, x=\"Subscribers\", y=\"Video Views\",\n",
    "                 size=\"Video Views\", color=\"Category\",\n",
    "                 log_x=True, size_max=50,\n",
    "                 title=\"Video views and Subscribers By Categories\",\n",
    "                 marginal_y='rug')\n",
    "fig.show()"
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   "source": [
    "*Musics, Education and Shows ranked top 3 higest of Video Views and Subscribers.*"
   ]
  },
  {
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   "source": [
    "**Top 10 Music Youtube Channels with The Most Video Count**"
   ]
  },
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   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Youtube Channel</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Video Views</th>\n",
       "      <th>Video Count</th>\n",
       "      <th>Category</th>\n",
       "      <th>Started</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-Series</td>\n",
       "      <td>234000000</td>\n",
       "      <td>212900271553</td>\n",
       "      <td>18515</td>\n",
       "      <td>Music</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Zee Music Company</td>\n",
       "      <td>91600000</td>\n",
       "      <td>53352597784</td>\n",
       "      <td>7530</td>\n",
       "      <td>Music</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BANGTANTV</td>\n",
       "      <td>73100000</td>\n",
       "      <td>19240057894</td>\n",
       "      <td>2090</td>\n",
       "      <td>Music</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>70800000</td>\n",
       "      <td>29598652357</td>\n",
       "      <td>249</td>\n",
       "      <td>Music</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>HYBE LABELS</td>\n",
       "      <td>69600000</td>\n",
       "      <td>25947702825</td>\n",
       "      <td>1070</td>\n",
       "      <td>Music</td>\n",
       "      <td>2008</td>\n",
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      "text/plain": [
       "      Youtube Channel  Subscribers   Video Views  Video Count Category  \\\n",
       "0            T-Series    234000000  212900271553        18515    Music   \n",
       "12  Zee Music Company     91600000   53352597784         7530    Music   \n",
       "18          BANGTANTV     73100000   19240057894         2090    Music   \n",
       "19      Justin Bieber     70800000   29598652357          249    Music   \n",
       "20        HYBE LABELS     69600000   25947702825         1070    Music   \n",
       "\n",
       "    Started  \n",
       "0      2006  \n",
       "12     2014  \n",
       "18     2012  \n",
       "19     2007  \n",
       "20     2008  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
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   ],
   "source": [
    "df_music = df[df.Category == 'Music']\n",
    "df_music.head()"
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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_index = df_music[\"Video Count\"].sort_values(ascending = False).index.values\n",
    "sorted_df_music = df_music.reindex(new_index)\n",
    "sorted_df_music_10 = sorted_df_music[:10]\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "\n",
    "sns.barplot(sorted_df_music_10, x=\"Video Count\", y=\"Youtube Channel\", palette = \"pastel\")\n",
    "\n",
    "plt.xticks(rotation = 90)\n",
    "plt.xlabel(\"Video Count\", fontsize = 15)\n",
    "plt.ylabel(\"Youtube Channel\", fontsize = 15)\n",
    "plt.title(\"Top 10 Music Youtube Channels with The Most Video Count\", fontsize =20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fe63163",
   "metadata": {
    "papermill": {
     "duration": 0.013399,
     "end_time": "2023-04-08T12:43:59.048057",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.034658",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Indosiar has the most video count of Music category*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5feb626",
   "metadata": {
    "papermill": {
     "duration": 0.013367,
     "end_time": "2023-04-08T12:43:59.075248",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.061881",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Top 10 Education Youtube Channels with The Most Video Views**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "4d2e0dea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:59.104729Z",
     "iopub.status.busy": "2023-04-08T12:43:59.104322Z",
     "iopub.status.idle": "2023-04-08T12:43:59.118299Z",
     "shell.execute_reply": "2023-04-08T12:43:59.117010Z"
    },
    "papermill": {
     "duration": 0.031774,
     "end_time": "2023-04-08T12:43:59.120705",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.088931",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Youtube Channel</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Video Views</th>\n",
       "      <th>Video Count</th>\n",
       "      <th>Category</th>\n",
       "      <th>Started</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cocomelon - Nursery Rhymes</td>\n",
       "      <td>152000000</td>\n",
       "      <td>149084178448</td>\n",
       "      <td>846</td>\n",
       "      <td>Education</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Pinkfong Baby Shark - Kids' Songs &amp; Stories</td>\n",
       "      <td>64600000</td>\n",
       "      <td>35934421688</td>\n",
       "      <td>2599</td>\n",
       "      <td>Education</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ChuChu TV Nursery Rhymes &amp; Kids Songs</td>\n",
       "      <td>61100000</td>\n",
       "      <td>41904239949</td>\n",
       "      <td>531</td>\n",
       "      <td>Education</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>BillionSurpriseToys - English Kids Songs &amp; Car...</td>\n",
       "      <td>49700000</td>\n",
       "      <td>8662901485</td>\n",
       "      <td>637</td>\n",
       "      <td>Education</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Infobells - Hindi</td>\n",
       "      <td>48400000</td>\n",
       "      <td>27621598218</td>\n",
       "      <td>514</td>\n",
       "      <td>Education</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Youtube Channel  Subscribers  \\\n",
       "2                          Cocomelon - Nursery Rhymes    152000000   \n",
       "23        Pinkfong Baby Shark - Kids' Songs & Stories     64600000   \n",
       "25              ChuChu TV Nursery Rhymes & Kids Songs     61100000   \n",
       "42  BillionSurpriseToys - English Kids Songs & Car...     49700000   \n",
       "43                                  Infobells - Hindi     48400000   \n",
       "\n",
       "     Video Views  Video Count   Category  Started  \n",
       "2   149084178448          846  Education     2006  \n",
       "23   35934421688         2599  Education     2011  \n",
       "25   41904239949          531  Education     2013  \n",
       "42    8662901485          637  Education     2013  \n",
       "43   27621598218          514  Education     2014  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_edu = df[df.Category == \"Education\"]\n",
    "df_edu.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "6afd0e19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:59.151419Z",
     "iopub.status.busy": "2023-04-08T12:43:59.150368Z",
     "iopub.status.idle": "2023-04-08T12:43:59.590119Z",
     "shell.execute_reply": "2023-04-08T12:43:59.588853Z"
    },
    "papermill": {
     "duration": 0.457855,
     "end_time": "2023-04-08T12:43:59.592776",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.134921",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 Education Youtube Channels with The Most Video Views')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_index2 = df_edu[\"Video Views\"].sort_values(ascending = False).index.values\n",
    "sorted_df_edu = df_edu.reindex(new_index2)\n",
    "sorted_df_edu_10 = sorted_df_edu[:10]\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "\n",
    "sns.barplot(sorted_df_edu_10, x=\"Video Views\", y=\"Youtube Channel\", palette = \"pastel\")\n",
    "\n",
    "plt.xticks(rotation = 90)\n",
    "plt.xlabel(\"Video Views\", fontsize = 15)\n",
    "plt.ylabel(\"Youtube Channel\", fontsize = 15)\n",
    "plt.title(\"Top 10 Education Youtube Channels with The Most Video Views\", fontsize =20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5f7af1e",
   "metadata": {
    "papermill": {
     "duration": 0.015003,
     "end_time": "2023-04-08T12:43:59.623465",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.608462",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Cocomelon has the most video view of Education category*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a768d35",
   "metadata": {
    "papermill": {
     "duration": 0.014941,
     "end_time": "2023-04-08T12:43:59.653748",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.638807",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Trend in the YouTube Channels Created Each Year**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "2a219242",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:43:59.686428Z",
     "iopub.status.busy": "2023-04-08T12:43:59.685633Z",
     "iopub.status.idle": "2023-04-08T12:44:00.214726Z",
     "shell.execute_reply": "2023-04-08T12:44:00.213433Z"
    },
    "papermill": {
     "duration": 0.548541,
     "end_time": "2023-04-08T12:44:00.217583",
     "exception": false,
     "start_time": "2023-04-08T12:43:59.669042",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year=df['Started'].value_counts()\n",
    "plt.figure(figsize=(20,8))\n",
    "sns.pointplot(x=year.index,y=year.values, color='violet')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Trend in the YouTube Channels Created Each Year',size=30, color='maroon');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1806bc8",
   "metadata": {
    "papermill": {
     "duration": 0.016661,
     "end_time": "2023-04-08T12:44:00.251205",
     "exception": false,
     "start_time": "2023-04-08T12:44:00.234544",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*The maximum number of the Youtube Channels was in 2014 and then kept decreasing since then*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e8a822b",
   "metadata": {
    "papermill": {
     "duration": 0.016581,
     "end_time": "2023-04-08T12:44:00.284933",
     "exception": false,
     "start_time": "2023-04-08T12:44:00.268352",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Correlation between variables**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "0d8b84fa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:44:00.320514Z",
     "iopub.status.busy": "2023-04-08T12:44:00.320099Z",
     "iopub.status.idle": "2023-04-08T12:44:00.571427Z",
     "shell.execute_reply": "2023-04-08T12:44:00.570234Z"
    },
    "papermill": {
     "duration": 0.272268,
     "end_time": "2023-04-08T12:44:00.573877",
     "exception": false,
     "start_time": "2023-04-08T12:44:00.301609",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Subscribers', ylabel='Video Views'>"
      ]
     },
     "execution_count": 98,
     "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": [
    "sns.scatterplot(data=df, x='Subscribers', y='Video Views')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "95628bcf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:44:00.610382Z",
     "iopub.status.busy": "2023-04-08T12:44:00.609941Z",
     "iopub.status.idle": "2023-04-08T12:44:00.860742Z",
     "shell.execute_reply": "2023-04-08T12:44:00.859560Z"
    },
    "papermill": {
     "duration": 0.2731,
     "end_time": "2023-04-08T12:44:00.864335",
     "exception": false,
     "start_time": "2023-04-08T12:44:00.591235",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Subscribers', ylabel='Video Count'>"
      ]
     },
     "execution_count": 99,
     "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": [
    "sns.scatterplot(data=df, x='Subscribers', y='Video Count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "d402b1cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:44:00.907992Z",
     "iopub.status.busy": "2023-04-08T12:44:00.907537Z",
     "iopub.status.idle": "2023-04-08T12:44:01.171235Z",
     "shell.execute_reply": "2023-04-08T12:44:01.169980Z"
    },
    "papermill": {
     "duration": 0.286176,
     "end_time": "2023-04-08T12:44:01.173980",
     "exception": false,
     "start_time": "2023-04-08T12:44:00.887804",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Video Views', ylabel='Video Count'>"
      ]
     },
     "execution_count": 100,
     "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": [
    "sns.scatterplot(data=df, x='Video Views', y='Video Count')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b696bc56",
   "metadata": {
    "papermill": {
     "duration": 0.018358,
     "end_time": "2023-04-08T12:44:01.211073",
     "exception": false,
     "start_time": "2023-04-08T12:44:01.192715",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**The heat map explains the correlation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "f526d34e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-08T12:44:01.251021Z",
     "iopub.status.busy": "2023-04-08T12:44:01.250563Z",
     "iopub.status.idle": "2023-04-08T12:44:01.672768Z",
     "shell.execute_reply": "2023-04-08T12:44:01.671441Z"
    },
    "papermill": {
     "duration": 0.445973,
     "end_time": "2023-04-08T12:44:01.675686",
     "exception": false,
     "start_time": "2023-04-08T12:44:01.229713",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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mTfPd17x581S/fn1JOT/2TSaTDhw4ICcnJ926dUsVK1ZU1apVVb16dS1atMjYUOXAgQM6c+aMdu/ebSSzZ8yYoYiIiFx3d8eMGSNra2tJ0tGjR/Oc39fXV3379pWUszrm4MGDioiI0Pz587VkyRL5+PgY7TVq1NC0adP0ySef6NKlS6pWrZokqXv37mrcuLGknLvaL4sbwLvD2dlZDg4OiouLM2qNxsbGqnz58mrbtm2e4+/evavo6GgFBQXJw8NDUs4q36c3mYqKilKlSpU0ZcoU471FixbJ3d1du3fv1i9/+UtFRUVpwoQJ+uijjyTljJ2XLl3SsmXL9Mknn6hIkSKvHeuPP/6oiIgI/fGPf1S7du0k5Yxhly9fVnh4uPr37y9PT09j0nLt2jVduHBB7dq1U1JSkry8vBQfH6+qVavK0dFRBw4cUPHixVW1alVVqVJFVapUUcWKFVWlSpX/5tIDeEMKy7j25LeajY3NK79TQkKCTp06pbi4ODk4OEiSpk2bppMnTyo8PFzBwcH5vj49evRQ9+7dJUkjRoxQeHi4jh49qubNmxux2NraGiulAfx85GcOW7JkSRUrVswon/iLX/xCzZs3N1YwV6tWTWvWrFFKSkquvv38/GRvb2+8trS0VKlSpVS2bFkdOHBAx48f18GDB1W2bFlJ0rhx43T06FFFRkZq9uzZWr16tTp37qz+/ftLyllFffz4cZ0+ffoNXxUAyI3EMgqMi4uLXFxclJWVpdOnTys+Pl5r1qzRsGHD9NVXX+WrDysrKyOpLOX8p25jY6OUlBS1atVKQ4cO1fTp0xUSEiJ3d3d5eHjIy8tLkpSSkiIbG5tcK6Tff/99ffrpp8br8uXLG0nlF3k2Cd6kSRNjMpWcnKwTJ05o8+bNRvuTx75TU1ONxHLNmjWNdhsbm5fGDeDd0qtXLy1dulSTJk1S0aJFtXXrVvXs2VOWlpZ5jr1w4YIePnxo3EiSpBIlSqhhw4bG6+TkZJ09ezbPplgZGRlKTU3V+fPn9fDhwzxjzwcffKBVq1bpu+++U4UKFV471nPnzikjI0Pjx4+XhcX/P9D06NEjZWZm6sGDB2rfvr1mz56ttLQ0HTlyRE5OTvLw8NCqVaskSfHx8erQoYMkqVu3btqyZYtMJpPq1q2rVq1ayWQykVgG3kGFYVyztbWVlFPi4lVSUlJkbW1tJJUlqUiRImrWrJnZmzLXqVMn12tra2s9fPjQrD4AFF7mzmF9fX21d+9excTE6OLFizp37pwuXbqk2rVr5zru6aTys06dOqXs7Gy1b98+1/uZmZnKyMiQlDPOdenSJVe7q6sriWUABY7EMt64q1evaunSpfL391elSpVkYWGhhg0bqmHDhurYsaO6du2qQ4cOPfezjx49yvX6eROcrKwsYzOZwMBA+fr6Kj4+XgcOHND06dO1YsUKbd26VUWLvvqve35WmzydcJFyHmV6cv4npTV69uyZ53NPbwL47HleFvfb3igHQG7dunXT/PnzlZiYKDs7O509e9aoufmsJyvunq0r/PR4lJWVJXd3dwUFBeX5vLW1tdLS0p7b95N6pi8b28yJ9UmMixYtyjP5kaTixYvL3t5etWvXVkJCgo4dO6aWLVuqZcuW+vzzz3Xp0iUlJiZqyZIlknKSQNu2bdOxY8eUmJiohIQERUZGavTo0Ro1atQLYwZQ8ArDuFa9enVVqFBBR48efW7ZidTUVM2cOVMTJ058YS337Ozsl46Zz/7ulPTc32HUigd+/v6bOWxWVpb8/f119uxZde3aVZ07d5aTk5OmTp2ap/8SJUq88NxZWVkqXbr0c2u3Pz0mPVvbvlixYuZ+TQB4bdRYxhtXvHhxbdq06bl1NcuUKSNJqlChgooVK6a7d+8abXfv3s1TDuKHH37QN998Y7w+c+aM7ty5IwcHB50/f15BQUEqX768+vXrp5CQEK1YsUKpqak6ffq06tatq9u3bxub9UnS999/rxYtWuj48eP5/j6nTp3K9fro0aOqV6+eJKlevXq6cOGCatasafy5evWq5s6d+8Jdyl8VN4B3i62trTw9PbVz507t2LFDzZs3z/UUwtNq1aqlEiVK5Cqr8+jRo1z/tuvVq6fU1FRVrlzZGDdsbGw0a9YspaSkqE6dOipWrJiOHDmSq+/Dhw/Lzs7upY+FmxNr7dq1VbRoUV25ciXXGBYfH6/w8HDjplr79u2VmJiopKQkubu7y97eXlWqVFFYWJiKFy9urECMjY1VVFSUmjZtqjFjxmjjxo3q06ePdu7cmb8LDaDAFIZxzcLCQr1791Z0dLS+/fbbPO0rVqzQyZMnjXI8d+7cyfXoeXZ2to4cOaK6detKyknAPPvb7OnfiPnxvDJEAH4e8juHfXoc+Pe//619+/YpODhYgYGB6tatm2rUqKFvvvnGrBtSDg4Ounv3rh4+fJjrN9ny5cv1t7/9TZLUoEGDPGUbn93cDwAKAiuW8cbZ2tpq6NChCg4O1r1799SpUyeVLl3a2ESvRYsWatasmVxcXLRz506ZTCaVKVNGISEheVYoW1hYKCAgQJ999pkkKSgoSB988IGaNWumW7duaceOHXrw4IGGDx8uCwsLxcTEyMbGRrVr11apUqXUqFEjffrpp5o0aZLee+89zZ07V7a2tnJyctL+/fvz9X0iIiJUo0YNNWnSROvXr1dKSooWLFggSRo2bJgCAgIUFhamLl266OrVq5o8ebKqVauWa8Xy08qVK/fSuAG8e3r37q3AwECVKVNGo0ePfuFxVlZWGjBggEJCQmRnZ6c6depo5cqVunbtmnGMr6+vNmzYoMDAQI0cOVJSTv34M2fOyMHBQaVLl9bHH3+skJAQlS1bVo0bN1ZCQoLWrVuncePGvTKxkd9Yra2t1bdvXwUHB6t06dJyc3NTUlKS5s2bJ39/f+M4T09PDRkyREWKFDE20XJ3d9fWrVv10UcfGasBMzIyNGfOHFlZWalZs2a6evWqDh06pGbNmr36AgMocIVhXBsxYoT2798vX19f/fa3v5Wbm5vS09MVFRWlrVu3auHChSpVqpRat26tBg0aaPz48Zo6darKly9v1Dh9soraxcVF6enpCg8Pl8lkUkJCgvbt22fUM82PUqVKSZJOnz6tcuXKycrKKt+fBfBuy+8cdteuXbp+/brS0tJUoUIFFS1aVLt27ZKtra3S09O1ZMkS3bhxQ5mZmS89n5WVlS5evKibN2+qTZs2atCggcaOHavJkyercuXKWrdunaKjoxUeHi4pp6byr3/9a61YsUIdO3bU/v379eWXX6pixYoFcXkAwEBiGQUiICBA9vb22rhxo9auXasHDx6oSpUq8vLyMhIW48aNU3p6uoYMGSJra2v5+fnphx9+yNWPra2tunfvrpEjR+r+/ftq3769sTFMuXLltHz5ci1YsEA+Pj56/PixXFxc9Je//EWlS5eWJC1evFh/+MMfjKSIu7u7VqxYYdZjQyNHjtTq1as1depU1a1bV8uWLTPqNnfq1EkLFy7U0qVLtWTJEpUtW1aenp4KDAx8YX/5iRvAu6V169YqVaqU0tPTZTKZXnrs+PHjVaJECX3xxRe6d++evLy85OnpabRXr15da9as0YIFC9SvXz9ZWlrKzc1NkZGRRk3RiRMnqly5cpo/f75u3rwpe3t7ffbZZ/Lx8flJY31ynuDgYF2/fl2VK1fWmDFjNHToUOMYV1dXWVlZydHR0XiMs1WrVoqOjjbqK0tSnz59lJ6ersWLF+vbb7+VjY2NTCbTS8dDAG9PYRjX3nvvPa1Zs0YrV67U8uXLdeXKFZUsWVINGzbU6tWrjRtXlpaWWrlypebMmaNRo0YpMzNTjRo1UkREhFxcXCTl3BAbPXq0Vq5cqZCQELVt21ZjxoxRZGRkvq+Zg4ODPDw8FBAQoHHjxsnPzy/fnwXw7svPHLZHjx766quv1LVrV+3Zs0ezZ89WaGio1q5dKzs7O7Vr106DBw/W3r17X3qugQMHas6cOTp79qxiY2O1cuVKzZs3TwEBAbp//77q1KmjsLAwtWzZUpLUrl07LViwQKGhoQoODpaLi4v8/Py0ffv2N35dAOBpRbIpEgYAAAAAAAAAMAM1lgEAAAAAAAAAZiGxDAAAAAAAAAAwC4llAAAAAAAAAIBZSCwDAAAAAAAAAMxCYhkAAAAAAAAAYBYSywAAAAAAAAAAs5BYBgAAAAAAAACYhcQyAAAAAAAAAMAsJJYBAAAAAAAAAGYhsQwAAAAAAAAAMAuJZQAAAAAAAACAWf4P0OCi6flFiL4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8))\n",
    "sns.set_theme('notebook')\n",
    "sns.heatmap(df.corr(numeric_only=True), annot=True, center=True);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 20.017027,
   "end_time": "2023-04-08T12:44:02.656643",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-04-08T12:43:42.639616",
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}