whatsapp-chat-analysis.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": "# Whatsapp chat analysis",
      "metadata": {
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        "cell_id": "00000-ac5ec211-0a07-4742-897c-e3ea356a4e00",
        "deepnote_cell_type": "text-cell-h1"
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        "execution_millis": 34670,
        "execution_start": 1619870983808,
        "output_cleared": true,
        "deepnote_cell_type": "code"
      },
      "source": "!python -m pip install --upgrade pip\n!pip install numpy --upgrade --quiet\n!pip install pandas --upgrade --quiet\n!pip install matplotlib --upgrade --quiet\n!pip install seaborn --upgrade --quiet\n!pip install wordcloud --upgrade --quiet\n!pip install emoji  --upgrade --quiet\n!pip install plotly_express --upgrade --quiet",
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00000-8d619739-23c5-4f2f-b725-645f14c22432",
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        "source_hash": "16abb7eb",
        "execution_millis": 2680,
        "execution_start": 1619871026471,
        "deepnote_cell_type": "code"
      },
      "source": "import os\nimport pandas as pd\nimport re\nimport datetime as time\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib\nimport seaborn as sns\nimport emoji\nimport re\nfrom collections import Counter\nimport plotly.express as px",
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00003-e9b859fd-0657-4121-886b-318c7d493a87",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "9d084cdf",
        "execution_millis": 127,
        "execution_start": 1619871244425,
        "deepnote_cell_type": "code"
      },
      "source": "chat_file_path = 'rahulya_bhai.txt'\nis_group = True # make false if it is not group chat\n\ndata = pd.read_fwf(chat_file_path)",
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "cell_id": "00004-4e6e46cd-1478-44ae-82a0-b894fd2eedab",
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        "source_hash": "41313cfa",
        "execution_millis": 39,
        "execution_start": 1619871065177,
        "deepnote_cell_type": "code"
      },
      "source": "data.head()",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 6,
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                  "name": "[17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,",
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                  "stats": {
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                    "categories": [
                      {
                        "name": "[17/10/19, 4:46:06 PM] ‎Prathamesh Pohekar created group “राहुल्या भाई मित्र परिवार”",
                        "count": 1
                      },
                      {
                        "name": "[17/10/19, 4:46:06 PM] ‎Prathamesh Pohekar added you",
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                        "name": "3 others",
                        "count": 3
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                  "[17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,": "[17/10/19, 4:46:06 PM] ‎Prathamesh Pohekar added you",
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                  "[17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,": "[17/10/19, 4:48:10 PM] Ashiish Karhade: 😆😆😆😆",
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                  "[17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,": "[17/10/19, 4:48:21 PM] Amit Gupta: Congratulations rahulya Bhai, on your fan club",
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                  "[17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,": "[17/10/19, 4:48:26 PM] Swaroop Koli: 🤣",
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            "text/plain": "  [17/10/19, 4:46:06 PM] Raहूल्या भाई मित्र परिवार: ‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp,  \\\n0  [17/10/19, 4:46:06 PM] ‎Prathamesh Pohekar cre...                                                                                                \n1  [17/10/19, 4:46:06 PM] ‎Prathamesh Pohekar add...                                                                                                \n2       [17/10/19, 4:48:10 PM] Ashiish Karhade: 😆😆😆😆                                                                                                \n3  [17/10/19, 4:48:21 PM] Amit Gupta: Congratulat...                                                                                                \n4             [17/10/19, 4:48:26 PM] Swaroop Koli: 🤣                                                                                                \n\n   can read   or listen   to them.  \n0  NaN  NaN  NaN    NaN  NaN   NaN  \n1  NaN  NaN  NaN    NaN  NaN   NaN  \n2  NaN  NaN  NaN    NaN  NaN   NaN  \n3  NaN  NaN  NaN    NaN  NaN   NaN  \n4  NaN  NaN  NaN    NaN  NaN   NaN  ",
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    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00005-1c24be43-4c5b-45e0-9df7-6092738c714f",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "244110ea",
        "execution_millis": 19,
        "execution_start": 1619871068621,
        "deepnote_cell_type": "code"
      },
      "source": "print(f\"Total messages: {data.shape[0]}\")",
      "execution_count": 7,
      "outputs": [
        {
          "name": "stdout",
          "text": "Total messages: 10479\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00007-cc97c7b9-afd4-44e5-baa1-20ce626e79b8",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "c91ea177",
        "execution_millis": 120,
        "execution_start": 1619871109119,
        "deepnote_cell_type": "code"
      },
      "source": "def txtTodf(txt_file):\n    '''iOS Format only - Convert WhatsApp chat log text file to a Pandas dataframe.'''\n    # some regex to account for messages taking up multiple lines\n    #pat = re.compile(r'^(\\d\\d\\/\\d\\d\\/\\d\\d\\d\\d.*?)(?=^^\\d\\d\\/\\d\\d\\/\\d\\d\\d\\d|\\Z)', re.S | re.M)\n    with open(txt_file) as file:\n        data = file.read()\n        data = data.splitlines()\n\n    user     = [] \n    message  = [] \n    datetime = []\n    \n    for row in data:\n        # timestamp is before the first dash\n        try:\n            str_date = re.findall(r'\\[.*?\\]', row)[0]\n            datetime.append(str(str_date)[1:-1].strip())\n        except:\n            datetime.append('')\n        # sender is between am/pm, dash and colon\n        try:\n            s = re.search('] (.*?):', row).group(1)\n            user.append(s)\n        except:\n            user.append('')\n        # message content is after the first colon\n        try:\n            message.append(row.split(': ', 1)[1])\n        except:\n            message.append('')\n\n    df = pd.DataFrame(zip(datetime, user, message), columns=['datetime', 'user', 'message'])\n    #df['datetime'] = pd.to_datetime(df.datetime, format='%d/%m/%y, %I:%M:%S %p')\n    # # remove events not associated with a sender\n    df = df[df.user != ''].reset_index(drop=True)\n    \n    return df\n\nwhatsapp_df = txtTodf(chat_file_path)\n#whatsapp_df",
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00008-cf410745-0849-432d-9218-2c5c6be6b4cc",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "c548fd05",
        "execution_millis": 28,
        "execution_start": 1619871116903,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df['datetime'] = pd.to_datetime(whatsapp_df.datetime, format='%d/%m/%y, %I:%M:%S %p')",
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00008-738df838-3039-4e39-a63b-fa0710eef796",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "be5646a9",
        "execution_millis": 1,
        "execution_start": 1619316711235,
        "deepnote_cell_type": "code"
      },
      "source": "# def Android_txtTodf(txt_file):\n#     '''Convert WhatsApp chat log text file to a Pandas dataframe.'''\n#     # some regex to account for messages taking up multiple lines\n#     pat = re.compile(r'^(\\d\\d\\/\\d\\d\\/\\d\\d\\d\\d.*?)(?=^^\\d\\d\\/\\d\\d\\/\\d\\d\\d\\d|\\Z)', re.S | re.M)\n#     with open(txt_file) as file:\n#         data = [m.group(1).strip().replace('\\n', ' ') for m in pat.finditer(file.read())]\n\n#     user     = []; \n#     message  = []; \n#     datetime = []\n    \n#     for row in data:\n#         # timestamp is before the first dash\n#         datetime.append(row.split(' - ')[0])\n#         # sender is between am/pm, dash and colon\n#         try:\n#             s = re.search('m - (.*?):', row).group(1)\n#             user.append(s)\n#         except:\n#             user.append('')\n\n#         # message content is after the first colon\n#         try:\n#             message.append(row.split(': ', 1)[1])\n#         except:\n#             message.append('')\n\n#     df = pd.DataFrame(zip(datetime, user, message), columns=['datetime', 'user', 'message'])\n#     df['datetime'] = pd.to_datetime(df.datetime, format='%d/%m/%Y, %I:%M %p')\n\n#     # remove events not associated with a sender\n#     df = df[df.user != ''].reset_index(drop=True)\n    \n#     return df\n\n# #whatsapp_df = Android_txtTodf('chat.txt')",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00008-58ce7535-4e18-4739-9537-90e16e499d71",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "ad8d1efc",
        "execution_millis": 31,
        "execution_start": 1619871121160,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df.head(10)",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 10,
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                {
                  "name": "user",
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                  "stats": {
                    "unique_count": 5,
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                    "categories": [
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                        "name": "Amit Gupta",
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                  "datetime": "2019-10-17T16:46:06.000000",
                  "user": "Raहूल्या भाई मित्र परिवार",
                  "message": "‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp, can read or listen to them.",
                  "_deepnote_index_column": 0
                },
                {
                  "datetime": "2019-10-17T16:48:10.000000",
                  "user": "Ashiish Karhade",
                  "message": "😆😆😆😆",
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                },
                {
                  "datetime": "2019-10-17T16:48:21.000000",
                  "user": "Amit Gupta",
                  "message": "Congratulations rahulya Bhai, on your fan club",
                  "_deepnote_index_column": 2
                },
                {
                  "datetime": "2019-10-17T16:48:26.000000",
                  "user": "Swaroop Koli",
                  "message": "🤣",
                  "_deepnote_index_column": 3
                },
                {
                  "datetime": "2019-10-17T16:48:35.000000",
                  "user": "Amit Gupta",
                  "message": "Abhinandan abhinandan 🙏🙏🙏",
                  "_deepnote_index_column": 4
                },
                {
                  "datetime": "2019-10-17T16:49:19.000000",
                  "user": "Prathamesh Pohekar",
                  "message": "राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी प्रथमेश पोहेकर आपल्या सगळ्यांचा सहर्ष स्वागत करत आहे",
                  "_deepnote_index_column": 5
                },
                {
                  "datetime": "2019-10-17T16:49:23.000000",
                  "user": "Amit Gupta",
                  "message": "Rahulya Bhai is super hot",
                  "_deepnote_index_column": 6
                },
                {
                  "datetime": "2019-10-17T16:49:38.000000",
                  "user": "Ashiish Karhade",
                  "message": "🤣🤣🤣",
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                },
                {
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                  "user": "Ashiish Karhade",
                  "message": "🧲",
                  "_deepnote_index_column": 8
                },
                {
                  "datetime": "2019-10-17T16:50:03.000000",
                  "user": "Amit Gupta",
                  "message": "राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी अमित गुप्ता आपल्या सगळ्यांचा सहर्ष स्वागत करत आहे",
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                }
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              "rows_bottom": null
            },
            "text/plain": "             datetime                       user  \\\n0 2019-10-17 16:46:06  Raहूल्या भाई मित्र परिवार   \n1 2019-10-17 16:48:10            Ashiish Karhade   \n2 2019-10-17 16:48:21                 Amit Gupta   \n3 2019-10-17 16:48:26               Swaroop Koli   \n4 2019-10-17 16:48:35                 Amit Gupta   \n5 2019-10-17 16:49:19         Prathamesh Pohekar   \n6 2019-10-17 16:49:23                 Amit Gupta   \n7 2019-10-17 16:49:38            Ashiish Karhade   \n8 2019-10-17 16:49:59            Ashiish Karhade   \n9 2019-10-17 16:50:03                 Amit Gupta   \n\n                                             message  \n0  ‎Messages and calls are end-to-end encrypted. ...  \n1                                               😆😆😆😆  \n2     Congratulations rahulya Bhai, on your fan club  \n3                                                  🤣  \n4                          Abhinandan abhinandan 🙏🙏🙏  \n5  राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी प्...  \n6                          Rahulya Bhai is super hot  \n7                                                🤣🤣🤣  \n8                                                  🧲  \n9  राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी अम...  ",
            "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>datetime</th>\n      <th>user</th>\n      <th>message</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-10-17 16:46:06</td>\n      <td>Raहूल्या भाई मित्र परिवार</td>\n      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-10-17 16:48:10</td>\n      <td>Ashiish Karhade</td>\n      <td>😆😆😆😆</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-10-17 16:48:21</td>\n      <td>Amit Gupta</td>\n      <td>Congratulations rahulya Bhai, on your fan club</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-10-17 16:48:26</td>\n      <td>Swaroop Koli</td>\n      <td>🤣</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-10-17 16:48:35</td>\n      <td>Amit Gupta</td>\n      <td>Abhinandan abhinandan 🙏🙏🙏</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2019-10-17 16:49:19</td>\n      <td>Prathamesh Pohekar</td>\n      <td>राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी प्...</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2019-10-17 16:49:23</td>\n      <td>Amit Gupta</td>\n      <td>Rahulya Bhai is super hot</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2019-10-17 16:49:38</td>\n      <td>Ashiish Karhade</td>\n      <td>🤣🤣🤣</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2019-10-17 16:49:59</td>\n      <td>Ashiish Karhade</td>\n      <td>🧲</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2019-10-17 16:50:03</td>\n      <td>Amit Gupta</td>\n      <td>राहुल्या भाई मित्र परिवार या ग्रुप मध्ये मी अम...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### Cleaning Images from Data",
      "metadata": {
        "tags": [],
        "cell_id": "00011-c4057fed-7798-4bf6-92e1-6dc40fdfe2a8",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00012-92ddbd3c-c88b-4834-96be-c4e871c30388",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "352fcb3e",
        "execution_millis": 19,
        "execution_start": 1619871132757,
        "deepnote_cell_type": "code"
      },
      "source": "img = whatsapp_df[whatsapp_df['message'] == \"<Media omitted>\" ]\nwhatsapp_df.drop(img.index, inplace=True)",
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00013-6ab91f92-36f6-41b8-8c33-1aea6cff693e",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "f9748b5d",
        "execution_millis": 23,
        "execution_start": 1619871133406,
        "deepnote_cell_type": "code"
      },
      "source": "img = whatsapp_df[whatsapp_df['message'] == \"<image omitted>\" ]\nprint(img.shape)\nwhatsapp_df.drop(img.index, inplace=True)",
      "execution_count": 12,
      "outputs": [
        {
          "name": "stdout",
          "text": "(0, 3)\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00014-88b0ebd2-5db1-4985-b664-9f39ebe619dc",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "3c8ccc01",
        "execution_millis": 10,
        "execution_start": 1619871133885,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df.reset_index(inplace=True, drop=True)\nprint(whatsapp_df.shape)",
      "execution_count": 13,
      "outputs": [
        {
          "name": "stdout",
          "text": "(9618, 3)\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "## Exploratory Data Analysis",
      "metadata": {
        "tags": [],
        "cell_id": "00016-6de25a1f-1adb-4559-b453-9a4a9a2d165f",
        "deepnote_cell_type": "text-cell-h2"
      }
    },
    {
      "cell_type": "markdown",
      "source": "Questions:",
      "metadata": {
        "tags": [],
        "cell_id": "00016-f54982a4-fff5-4dce-90ae-8a3b2587c8e9",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "1. Who are the different people in the group chat?",
      "metadata": {
        "tags": [],
        "cell_id": "00017-6140207b-5042-4926-9e51-a4b011190c05",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "2. Who are the most active users in the group?",
      "metadata": {
        "tags": [],
        "cell_id": "00018-5ac85b95-e2ca-49a3-a116-e47a80d11d07",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "3. What is the timeline of data we have?",
      "metadata": {
        "tags": [],
        "cell_id": "00019-cb917d72-5701-4860-b2a1-eaeb77cbcf09",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "4. What is the most active time of messages in group throughout the day?",
      "metadata": {
        "tags": [],
        "cell_id": "00020-ee238bab-10c9-41c0-9497-d9b820e9bd6b",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "5. Which was the busiest month or most active months of conversation?",
      "metadata": {
        "tags": [],
        "cell_id": "00021-a5a2a994-d44f-4767-8e2a-3f9f2e452e6c",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "6. Which emoji was used most in messages?",
      "metadata": {
        "tags": [],
        "cell_id": "00022-ab8a28b5-d4fe-4c9a-8ea5-85ded5e9c021",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "7. What were the most emojis used depending on users?",
      "metadata": {
        "tags": [],
        "cell_id": "00023-8877d3b1-16d2-4d5d-a133-86aaf32f5f08",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "markdown",
      "source": "8. What are the top words used in the conversation?",
      "metadata": {
        "tags": [],
        "cell_id": "00024-47c91345-6c50-4ef7-a31d-dc40532fccbc",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00017-ce3a055f-73a1-42d8-aeb1-53c4572c75e8",
        "deepnote_cell_type": "code"
      },
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "IDEAS -&gt; Add word count and letter count columns so as to know who sends more messages and who send long messages",
      "metadata": {
        "tags": [],
        "cell_id": "00026-bbff7916-f9a8-463e-bea2-793d204eeae9",
        "deepnote_cell_type": "text-cell-p"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00026-e130c16f-826c-4a29-aaca-c37ea59eb854",
        "deepnote_cell_type": "code"
      },
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "### 1. Who are the different people in the group chat?",
      "metadata": {
        "tags": [],
        "cell_id": "00027-15c7be8e-7c50-457c-a90e-edb1f646ef35",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00027-4a80f5a6-fa32-4bfc-82bb-4faccc75d391",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "38f0f623",
        "execution_millis": 11,
        "execution_start": 1619871349674,
        "deepnote_cell_type": "code"
      },
      "source": "users = whatsapp_df.user.unique()\n\n\nif is_group:\n    users = np.delete(users, 0)\n    \nprint('User name that involved in the chat:', users)\nprint('Total users in the chat:', len(users)) # one of the username is actully group name",
      "execution_count": 21,
      "outputs": [
        {
          "name": "stdout",
          "text": "User name that involved in the chat: ['Ashiish Karhade' 'Amit Gupta' 'Swaroop Koli' 'Prathamesh Pohekar'\n 'Aniket Ingle' 'Yash Sonone' 'Rahul Kumawat' 'Rahul Magare' 'Ankit Jha'\n 'Hemant Shelar' 'Aniket Jadhav']\nTotal users in the chat: 11\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 2. Who are the most active users in the group?",
      "metadata": {
        "tags": [],
        "cell_id": "00029-fcaea78d-6cf1-4fad-a810-aaf8ea32b287",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00030-ad0907cd-5578-4852-a7dc-cf476bea7e96",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "83f10777",
        "execution_millis": 16,
        "execution_start": 1619871389840,
        "deepnote_cell_type": "code"
      },
      "source": "user_df = whatsapp_df.groupby('user')['message'].count().sort_values(ascending=False).reset_index()",
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00030-71751cf5-cbbf-4284-9e7d-90bb613ac729",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "44bf126b",
        "execution_millis": 3,
        "execution_start": 1619871391385,
        "deepnote_cell_type": "code"
      },
      "source": "if is_group:\n    user_df.drop(index=11, axis=0, inplace=True)",
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00032-83678070-15e5-41a0-a2ac-c6cfa5dca319",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "6142f44f",
        "execution_millis": 2065,
        "execution_start": 1619871392947,
        "deepnote_cell_type": "code"
      },
      "source": "sns.set_style('darkgrid')\nmatplotlib.rcParams['figure.figsize'] = (12, 10)\n\n#plt.title(\"Most active users in conversation\")\nbarplot = sns.barplot(data=user_df, x=\"user\", y=\"message\", hue=\"user\", palette=\"CMRmap\", dodge=False)\nbarplot.set_xticklabels(rotation=50, labels=user_df.user)\nplt.ylabel(\"no. of messages\")\nplt.show()",
      "execution_count": 26,
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 864x720 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 730,
              "height": 664
            }
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 3. What is the timeline of data we have?",
      "metadata": {
        "tags": [],
        "cell_id": "00033-0696a97f-aa15-4764-a12e-ff57834eaf1c",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00033-4165337a-fc2e-42d3-b57f-7e0b15e159b7",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "837bb1cf",
        "execution_millis": 19,
        "execution_start": 1619871402935,
        "deepnote_cell_type": "code"
      },
      "source": "start = whatsapp_df.datetime.min()\nend = whatsapp_df.datetime.max()\n\ndifference = end-start\nprint(\"The chat data started from {} upto {}\".format(start, end))\nprint(\"which approximately consists of {} hours\".format(difference))",
      "execution_count": 27,
      "outputs": [
        {
          "name": "stdout",
          "text": "The chat data started from 2019-10-17 16:46:06 upto 2021-04-24 12:40:03\nwhich approximately consists of 554 days 19:53:57 hours\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00035-ca4891d5-b426-4d56-8e1e-f577894a3cba",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "10de5faa",
        "execution_millis": 1,
        "execution_start": 1619871409750,
        "deepnote_cell_type": "code"
      },
      "source": "## AVERAGE MESSAGES PER DAY\ndifference.to_timedelta64()\n\naverage = whatsapp_df.shape[0]/difference.days\nprint(\"Average no. of messages per day: {} messages per day\".format(int(average)))",
      "execution_count": 28,
      "outputs": [
        {
          "name": "stdout",
          "text": "Average no. of messages per day: 17 messages per day\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 4. What is the most active time of messages in group throughout the day?",
      "metadata": {
        "tags": [],
        "cell_id": "00036-a786b8ea-51d9-4692-98eb-99f0f824c9df",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00037-71b3f184-ea83-4335-87f5-c323b8da8f82",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "e9308a7b",
        "execution_millis": 120,
        "execution_start": 1619871418814,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df1 = whatsapp_df.copy()\nwhatsapp_df1[\"hours\"] = whatsapp_df['datetime'].apply(lambda x: x.hour)\ntimes_df = whatsapp_df1.groupby('hours').count().reset_index().sort_values(by = 'hours')",
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00038-506444fc-56ae-4761-b8d4-975639ac394a",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "731d696e",
        "execution_millis": 718,
        "execution_start": 1619871420905,
        "deepnote_cell_type": "code"
      },
      "source": "matplotlib.rcParams['font.size'] = 20\nmatplotlib.rcParams['figure.figsize'] = (20, 8)\nsns.set_style(\"darkgrid\")\n\nplt.title('Most active hour in whatsapps');\ntime_plot = sns.barplot(x=\"hours\",y=\"message\",data = times_df,dodge=False)\nlabels=[\"12:AM\",\"01:AM\",\"02:AM\",\"03:AM\",\"04:AM\",\"05:AM\",\"06:AM\",\"07:AM\",\"08:AM\",\"09:AM\",\"10:AM\",\"11:AM\",\"12:PM\",\"01:PM\",\"02:PM\",\"03:PM\",\"04:PM\",\"05:PM\",\"06:PM\",\"07:PM\",\"08:PM\",\"09:PM\",\"10:PM\",\"11:PM\"]\n#time_plot.set_xticklabels(rotation=15, labels=labels)\nplt.xticks([i for i in range(24)], labels=labels, rotation=30)\nplt.show()",
      "execution_count": 30,
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 1440x576 with 1 Axes>",
            "image/png": 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qTa9XkhYpUiTD/ZgnTx7rte/qsVn1tQ8AAM7ZBgCATXLlymUdyrRs2TK1bt3aOoT0ZrPaJFnnabvRed1q166tSZMm6dixY4qPj1dgYKACAgJUo0YNbdmyRb169VLXrl3VoEEDlS1b1vZzaGUkIiJC06ZN06ZNm3TixAnFxcWlKSqk9B/43bNuatWqdUfLmmu1aNFC//nPf3Tw4EEdOnRI//jHP6xlCxYskDFGFStWVOnSpa3bk5OTtWfPHknSm2++meYcWldzFyIRERG3la1SpUoZ3u4+v1VMTEya2/ft2ydJKleu3HXPW1ajRg35+PgoJSVF+/fvT3OeMjtc7/xldrnePilYsKD137Gxsbd8/r7ixYurYMGCioyM1M6dO1W3bl3FxMTo119/VenSpVWgQAFVq1bNukBAhQoVdPLkSUVERMjPz88qi671wAMPyMvL64ZZr/33k648tsLCwrRkyRL9+uuvioqKss495paQkKDo6GjlyZPnlrbR7dFHH9Xu3bs1duxYHT9+XE2aNNFDDz100+dbVFSUZsyYoXXr1uno0aOKjY1NV/bdqMC7XiHpXrZz507rte5aNWrUuO5+rFGjhj777DMdOnRIiYmJ8vf39/hrHwAA18PMNgAAbHT1oaSXL1/W0qVL5efnl+6wxIy4z8N2dZFwLfcyY4z++OMP6/Z33nlHZcqU0fnz5/Xxxx+rdevWql69unr37q358+enO1+UXbZu3apmzZpp8uTJ2rdvn2JjY5UjRw7ly5dP+fLls2bXXDv76Ny5c5JknV/qbilYsKB1eNu1s9vch5ZeO6vNfSEJ6UoRce7cuQz/5/73uHz58m1lc58v7Fru801d+294K4+XbNmyWTPDrj3Pnx0yWwBl1s32iaR05dTNuGe3uQ8N3b59u1JTU62SyP3/7uXu/69YseJ1r2h5vZxXZ7323899gYQ33nhD69ev19mzZ+Xj46M8efJYzx+3S5cuZWobJal3795q2LChkpKSNHPmTPXo0UPVqlVTx44dNXny5AzLv8OHD6tFixYaN26cdu7cqaioKGXPnl158+ZVvnz5rFL3RrMJb+X163qPxVsZm5KSkia7p177AAC4EWa2AQBgo3r16ilPnjzavHmzpk+frri4ODVs2DBTpURCQkKmf2+xYsX0/fffa82aNVq7dq22b9+uI0eO6Mcff9SPP/6or776StOmTbthKZBZSUlJeuWVVxQfH6+HH35Y/fr1U6VKldIUId99953eeOMN236nHVq2bKmtW7dqwYIFGjJkiCTpyJEj+uWXX+Tt7Z2uGL16lt68efNUvnz5u5r3Zm7n8WKXm13wIyuqUaOGFixYYB0aeu0holef1+2ZZ56xll/vfG2369NPP9XOnTuVO3duDRs2TPXq1VPevHmt5SkpKapQoYKkK+V6Zvn7+2vixInatWuXli9fru3bt2vfvn3auXOndu7cqf/973/68ssvVa5cOWvM8OHDde7cOVWsWFFDhgxR1apV07xmbNq0Sc8888ztb/Qd4InXPgAAbsZ575AAAMjCfH191aJFizQnpX/qqaduaay7kPv999+vu05kZKSkK+dDu/ZcVr6+vmrcuLFGjhypRYsWaf369Ro6dKiyZcumffv2WRcksMuuXbsUERGhkJAQffrpp6pevXq6q/6dP38+w7HuWTs3uqrhndKkSRP5+fkpPDxcu3btkvTnLLfq1aunm10TEhJiHZLmibzXcyuPl4SEBEVFRaVZX5K1PTcq6mJjY21ImfW4S7M9e/bo8uXL1sw1d9lWoUIF5ciRw7pC6c0ujnC73OdoHDFihFq3bp2maJP+nP35Vz300EN65ZVX9M0332jr1q368MMPVbhwYV24cEGvv/66td7p06e1Z88e+fj4aOLEiapXr166gupWMt3oEFP3sut9+XArY318fJQrV640y+72ax8AADdD2QYAgM3ch5ImJSUpODjYOqn4zbhnsWzbtu26M1k2b94sSSpZsuRNz1OVP39+9erVSz169LDu92rucyPdzqwZ6c9zk5UsWfK6h9dt3Lgxw9srV64s6cohepk57PKvZpak4OBg6wIU7pLNfQhpRidn9/Pz0wMPPCBJWrt27W3/Xru5r6x6/Phxq4S91rZt26zD6NyPL0lWWXH+/HklJiZmOHbv3r12xs0yypQpo7x58yopKUnr16/XgQMHVLJkSeXPn1/SlTKnatWqioqK0o8//qhTp07Jx8dH1apVszWH+9/sejMlN23adN2xt/s8CAwMVIsWLazzDu7bt886JNT9fM6TJ891D+e83vP5ate+zlzNXVxe/VjMaPmNlv3jH//I8EIiV7vZax8AAHcaZRsAADZ74IEHNGDAAPXs2VOvvfbaTT8YujVt2lTSlatOrly5Mt3yc+fOadasWZKuXPHPLSkp6YYfut2zza4tVdznU7vdGUxBQUGSpGPHjmU4Q2r9+vXasmVLhmObNGmi7NmzKzo6WhMmTLjl3+nOnNH5pjLDXaotXrxYu3bt0vHjx+Xn56cmTZpkuH6bNm0kXbkq6S+//HLD+46Ojv5L2W5V3bp1lTNnTiUlJWny5MnplqekpOjTTz+VdGXGnrtMkq4UpP7+/jLGaPXq1enGHj9+XMuWLbtz4T3Mfd6+zz77TCkpKekuSuKe5eaeEVW+fHnrsWcX9/1ldJXSuLg4TZw48aZjb/Q8uF6JKsm6SIIxxjrnnfv5fO7cuQxnpP76668ZXsX3WosWLdLJkyfT3b5t2zbrKqbu17prnTp1KsPfERUVpW+//Tbd2Nt97QMA4E6jbAMA4A7o37+/Xn311Vu6Cqlb9erVrRlXr732mpYsWWJdBfDnn39Wz549FR0drXz58ql79+7WuMOHD+vJJ5/UlClTdPToUevDZ1JSkpYuXaopU6ZIkh555JE0v899Jc5ly5bdVuFWtWpVBQQEKCoqSkOHDrUO87p8+bJmz56tAQMGKCQkJMOxefLkUb9+/SRJn3/+uUaOHJnmEM0zZ87oyy+/THf4lzvzunXrbnjI2c00bNhQgYGBOnfunDXLp169ete9qmf79u310EMPKSEhQT169NC3336rixcvWsvPnj2r77//Xl27dtXUqVNvO1dmBAYGqk+fPpKkadOmaeLEiYqLi5N0ZdbUiy++qJ9++kne3t4aPHhwmrH+/v5q1KiRJGn06NHWRQJSU1O1fv16Pfvss3f1KrF3m/uQUPfsvWsPEb12+Y2usHm76tatK0l67733tHXrVut5u2fPHj3zzDPW4b8ZcT8PduzYoWPHjmW4TsuWLfXhhx9qz549VtlkjNGePXv09ttvS7pytVf3Y75MmTIqVKiQjDEaPHiwjh8/LunK68iyZcvUs2fPW7rqq5+fn/7v//7PKtZSU1O1atUqDRw40Nru680SDAoK0ogRI/T9999bMzJ/+eUX9erVSxcuXFDevHnVuXNna/3bfe0DAOBO4wIJAABkIe+//7569uypAwcOaNCgQcqWLZt8fX2tEiU4OFjjx49Pd762w4cPa/To0Ro9erT8/f0VGBiomJgY6+T+DzzwgF544YU0Y1q1aqX//e9/+umnn1S7dm3lyZNHfn5+KliwoL7++uubZs2VK5defPFFvfPOO1qyZImWLFmioKAgXbp0ScnJySpfvrzatWunUaNGZTj+ueee07lz5/TVV19pxowZmjFjhoKCgmSMsYos94wyt8aNG+uDDz7QsWPHVL9+feXNm9eaObhq1apb2MNXZM+eXY0bN9b333+vffv2Scr4EFI3Pz8/ffrpp+rfv7927NihESNG6F//+pdy5cqlxMTENFdnrF279i3n+Kt69eqlI0eOaN68efroo4/0ySefKGfOnIqJiZExRt7e3nrjjTcyPN/YSy+9pE2bNun3339Xly5dFBAQoNTUVCUkJKh8+fJ65pln9M4779y1bbmbrt0f15ZpDzzwgAICAqyrgNp9vjZJGjx4sDZs2KDff/9d3bp1U7Zs2eTj46P4+Hhlz55dEyZMUK9evTIcW7NmTRUvXlwnTpxQ06ZNlTt3butQ7pkzZ6pQoUI6f/68Jk2apEmTJsnHx0dBQUGKi4uzZrLlzp07zXPT/VgZOHCgtm7dqieeeEI5cuRQYmKikpKSVLhwYQ0dOlRDhw694Xa9+uqr+vDDD9WpUycFBgYqNTXVOlS8RIkSeu+99647tlOnTtqyZYteeeUVvf766/L397deCwICAvTxxx+nK8Rv57UPAIA7jZltAABkIXny5NE333yjV199VQ888IB8fX2VlJSkkiVLqkePHlqwYIGqVKmSZkyZMmU0btw4dezYURUqVFCuXLl08eJFBQUFqVq1ahoxYoS+/vrrdIfBlSlTRl9++aXq1aunnDlz6ty5czp16tR1z/+Vke7du2v8+PHWLLeUlBSVLl1aAwYM0KxZs254BUAvLy+99tprmjFjhpo3b66CBQvq8uXL8vf3V8WKFdW3b1/17ds33f756quv9MQTTyhPnjy6cOGCTp06pVOnTt1yZrcnn3zS+u/AwMCbnlsvb968mj59usaOHav69esrT548VglaunRptW7dWh999JF69+6d6Sy3y8fHR2PGjNG4ceP0yCOPKCgoSPHx8cqfP7+efPJJfffdd+rSpUuGY4sVK6bvvvtOTz75pPLkyaOUlBQVKlRIffv2zfDxci9xuVzWrMsSJUqkO0eZn5+f9Tzz9va2/Xxt0p/7v1WrVsqbN69SU1MVFBSkli1bavbs2TecjeXn56cpU6boqaeeUsGCBRUTE2M9D9wzwj799FP16dNHVatWVYECBRQXFyc/Pz+5XC717t1bCxcuTHMlUkl6/PHH9dVXX6lu3brKkSOHkpOTVaRIEfXs2VNhYWEqVKjQTberePHimjNnjtq1a6egoCClpKRY9zFnzhwVKFDgumP9/f01bdo09evXT4ULF1ZSUpLy5MmjFi1aaO7cuelKz9t97QMA4E7zMn/lDMMAAAA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\n"
          },
          "metadata": {
            "image/png": {
              "width": 1243,
              "height": 552
            }
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00039-7d2329a6-aa7c-48ab-911c-94803516799c",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "b623e53d",
        "execution_start": 1619316728309,
        "execution_millis": 3,
        "deepnote_cell_type": "code"
      },
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "### 5. Which was the busiest month or most active months of conversation?",
      "metadata": {
        "tags": [],
        "cell_id": "00040-30cd7d02-6b98-4fd2-94bb-f549781c051f",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00041-c0029c0b-2e7d-4a46-ba05-c94bfda05035",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "4694b4d8",
        "execution_millis": 449,
        "execution_start": 1619871426476,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df2 = whatsapp_df.copy()\n\nwhatsapp_df2[\"months\"] = whatsapp_df[\"datetime\"].apply(lambda x: x.month)\n\nmonths_df = whatsapp_df2.groupby(\"months\")[\"message\"].count().sort_values(ascending=False).reset_index()",
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00043-8969af6e-0edb-4d10-b512-dcbc204826b0",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "dc2c456d",
        "execution_millis": 485,
        "execution_start": 1619871428066,
        "deepnote_cell_type": "code"
      },
      "source": "matplotlib.rcParams['font.size'] = 20\nmatplotlib.rcParams['figure.figsize'] = (20, 8)\nsns.set_style(\"darkgrid\")\n\nplt.title('Most active months in whatsapps');\n\nmonth_plot = sns.barplot(x=\"months\", y=\"message\", data=months_df)\nlabels = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"]\nplt.xticks(ticks=[i for i in range(12)], labels=labels, rotation=0)\nplt.show()",
      "execution_count": 32,
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 1440x576 with 1 Axes>",
            "image/png": 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          },
          "metadata": {
            "image/png": {
              "width": 1211,
              "height": 523
            }
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 6. Which emoji was used most in messages?",
      "metadata": {
        "tags": [],
        "cell_id": "00044-d390f5af-e7e5-4f9d-acc0-703ccb1a3372",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00045-e7d12643-8bf0-435e-9d20-288c995be8a8",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "9d35bb14",
        "execution_millis": 3090,
        "execution_start": 1619871430093,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df3 = whatsapp_df.copy()\n\nemoji_counter = Counter()\n\nemoji_list = list(emoji.UNICODE_EMOJI_ENGLISH.keys())\nr = re.compile('|'.join(re.escape(p) for p in emoji_list))\n#print(r)\nfor idx, row in whatsapp_df3.iterrows():\n    found = r.findall(row[\"message\"])\n    for emojif in found:\n        emoji_counter[emojif] += 1",
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
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        "source_hash": "8941dc2c",
        "execution_millis": 47,
        "execution_start": 1619871434634,
        "deepnote_cell_type": "code"
      },
      "source": "emojis_df = pd.DataFrame()\nemojis_df['emoji'] = [''] * 10\nemojis_df['number_of_Emoji'] = [0] * 10\n\ni = 0\nfor item in emoji_counter.most_common(10):\n    emojis_df.emoji[i] = item[0]\n    emojis_df.number_of_Emoji[i] = int(item[1])\n    i += 1",
      "execution_count": 34,
      "outputs": [
        {
          "name": "stderr",
          "text": "/shared-libs/python3.7/py-core/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame\n\nSee the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n  import sys\n/shared-libs/python3.7/py-core/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \nA value is trying to be set on a copy of a slice from a DataFrame\n\nSee the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n  \n",
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        "source_hash": "b64a6587",
        "execution_start": 1619871437424,
        "execution_millis": 37,
        "deepnote_cell_type": "code"
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      "source": "emojis_df",
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 35,
          "data": {
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              ],
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            "text/plain": "  emoji  number_of_Emoji\n0     😂             1295\n1     🤣              230\n2     🔥              195\n3     🏻              109\n4     😆              106\n5     🙏              103\n6     👍               94\n7     😅               69\n8     🥳               57\n9     🖕               47",
            "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>emoji</th>\n      <th>number_of_Emoji</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>😂</td>\n      <td>1295</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>🤣</td>\n      <td>230</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>🔥</td>\n      <td>195</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>🏻</td>\n      <td>109</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>😆</td>\n      <td>106</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>🙏</td>\n      <td>103</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>👍</td>\n      <td>94</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>😅</td>\n      <td>69</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>🥳</td>\n      <td>57</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>🖕</td>\n      <td>47</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
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        "source_hash": "fae5b255",
        "execution_start": 1619871440241,
        "execution_millis": 3236,
        "deepnote_cell_type": "code"
      },
      "source": "fig = px.pie(emojis_df, values='number_of_Emoji', names='emoji',title='Emoji percentage used in chat group')\nfig.update_traces(textposition='inside', textinfo='percent+label')\nfig.show()",
      "execution_count": 36,
      "outputs": [
        {
          "data": {
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\"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Emoji percentage used in chat group\"}},                        {\"responsive\": true}                    ).then(function(){\n                            \nvar gd = document.getElementById('5dab7175-c250-4a78-85f3-730727aa3395');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };          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          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 7. What were the most emojis used depending on users?",
      "metadata": {
        "tags": [],
        "cell_id": "00048-16db92b8-1db4-4ff9-a753-d1839ac944de",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00049-3392a3f6-7cbc-4b84-8191-100669744d84",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "c1d18608",
        "execution_millis": 3244,
        "execution_start": 1619871443485,
        "deepnote_cell_type": "code"
      },
      "source": "user_emoji_df = whatsapp_df.copy()\n\nuser_emoji_counter = Counter()\nemoji_list = list(emoji.UNICODE_EMOJI_ENGLISH.keys())\nr = re.compile('|'.join(re.escape(p) for p in emoji_list))\n\nfor idx, row in whatsapp_df3.iterrows():\n    found = r.findall(row[\"message\"])\n    for emojif in found:\n        emoji_counter[emojif] += 1",
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00050-22a3dc26-bca4-47b5-912f-40fb677e7253",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "b8d7b54a",
        "execution_millis": 553449438,
        "execution_start": 1619871446740,
        "deepnote_cell_type": "code"
      },
      "source": "def emojis_return(x):\n    c = Counter()\n    found = r.findall(x)\n    for emoji_found in found:\n        c[emoji_found] += 1\n    return dict(c)",
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00050-f36f7c87-7c09-4b3c-a8c7-5a5b4eea7a00",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "5a2989ba",
        "execution_millis": 1420,
        "execution_start": 1619871446747,
        "deepnote_cell_type": "code"
      },
      "source": "user_emoji_df[\"no.of emojis\"] = user_emoji_df[\"message\"].apply(lambda x : emojis_return(x))",
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00051-255a7015-ad76-41c5-8db1-a5e58e106cbe",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "7e6cff86",
        "execution_millis": 77,
        "execution_start": 1619871448169,
        "deepnote_cell_type": "code"
      },
      "source": "user_emoji_df.head()",
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 40,
          "data": {
            "application/vnd.deepnote.dataframe.v2+json": {
              "row_count": 5,
              "column_count": 4,
              "columns": [
                {
                  "name": "datetime",
                  "dtype": "datetime64[ns]",
                  "stats": {
                    "unique_count": 5,
                    "nan_count": 0,
                    "min": "2019-10-17 16:46:06",
                    "max": "2019-10-17 16:48:35",
                    "histogram": [
                      {
                        "bin_start": 1571330766000000000,
                        "bin_end": 1571330780900000000,
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                      {
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                        "bin_end": 1571330795800000000,
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                      {
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                        "bin_start": 1571330900100000000,
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                        "count": 3
                      }
                    ]
                  }
                },
                {
                  "name": "user",
                  "dtype": "object",
                  "stats": {
                    "unique_count": 4,
                    "nan_count": 0,
                    "categories": [
                      {
                        "name": "Amit Gupta",
                        "count": 2
                      },
                      {
                        "name": "Raहूल्या भाई मित्र परिवार",
                        "count": 1
                      },
                      {
                        "name": "2 others",
                        "count": 2
                      }
                    ]
                  }
                },
                {
                  "name": "message",
                  "dtype": "object",
                  "stats": {
                    "unique_count": 5,
                    "nan_count": 0,
                    "categories": [
                      {
                        "name": "‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp, can read or listen to them.",
                        "count": 1
                      },
                      {
                        "name": "😆😆😆😆",
                        "count": 1
                      },
                      {
                        "name": "3 others",
                        "count": 3
                      }
                    ]
                  }
                },
                {
                  "name": "no.of emojis",
                  "dtype": "object",
                  "stats": {
                    "unique_count": 5,
                    "nan_count": 0,
                    "categories": [
                      {
                        "name": "{}",
                        "count": 2
                      },
                      {
                        "name": "{'😆': 4}",
                        "count": 1
                      },
                      {
                        "name": "2 others",
                        "count": 2
                      }
                    ]
                  }
                },
                {
                  "name": "_deepnote_index_column",
                  "dtype": "int64"
                }
              ],
              "rows_top": [
                {
                  "datetime": "2019-10-17T16:46:06.000000",
                  "user": "Raहूल्या भाई मित्र परिवार",
                  "message": "‎Messages and calls are end-to-end encrypted. No one outside of this chat, not even WhatsApp, can read or listen to them.",
                  "no.of emojis": "{}",
                  "_deepnote_index_column": 0
                },
                {
                  "datetime": "2019-10-17T16:48:10.000000",
                  "user": "Ashiish Karhade",
                  "message": "😆😆😆😆",
                  "no.of emojis": "{'😆': 4}",
                  "_deepnote_index_column": 1
                },
                {
                  "datetime": "2019-10-17T16:48:21.000000",
                  "user": "Amit Gupta",
                  "message": "Congratulations rahulya Bhai, on your fan club",
                  "no.of emojis": "{}",
                  "_deepnote_index_column": 2
                },
                {
                  "datetime": "2019-10-17T16:48:26.000000",
                  "user": "Swaroop Koli",
                  "message": "🤣",
                  "no.of emojis": "{'🤣': 1}",
                  "_deepnote_index_column": 3
                },
                {
                  "datetime": "2019-10-17T16:48:35.000000",
                  "user": "Amit Gupta",
                  "message": "Abhinandan abhinandan 🙏🙏🙏",
                  "no.of emojis": "{'🙏': 3}",
                  "_deepnote_index_column": 4
                }
              ],
              "rows_bottom": null
            },
            "text/plain": "             datetime                       user  \\\n0 2019-10-17 16:46:06  Raहूल्या भाई मित्र परिवार   \n1 2019-10-17 16:48:10            Ashiish Karhade   \n2 2019-10-17 16:48:21                 Amit Gupta   \n3 2019-10-17 16:48:26               Swaroop Koli   \n4 2019-10-17 16:48:35                 Amit Gupta   \n\n                                             message no.of emojis  \n0  ‎Messages and calls are end-to-end encrypted. ...           {}  \n1                                               😆😆😆😆     {'😆': 4}  \n2     Congratulations rahulya Bhai, on your fan club           {}  \n3                                                  🤣     {'🤣': 1}  \n4                          Abhinandan abhinandan 🙏🙏🙏     {'🙏': 3}  ",
            "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>datetime</th>\n      <th>user</th>\n      <th>message</th>\n      <th>no.of emojis</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-10-17 16:46:06</td>\n      <td>Raहूल्या भाई मित्र परिवार</td>\n      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-10-17 16:48:10</td>\n      <td>Ashiish Karhade</td>\n      <td>😆😆😆😆</td>\n      <td>{'😆': 4}</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-10-17 16:48:21</td>\n      <td>Amit Gupta</td>\n      <td>Congratulations rahulya Bhai, on your fan club</td>\n      <td>{}</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-10-17 16:48:26</td>\n      <td>Swaroop Koli</td>\n      <td>🤣</td>\n      <td>{'🤣': 1}</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-10-17 16:48:35</td>\n      <td>Amit Gupta</td>\n      <td>Abhinandan abhinandan 🙏🙏🙏</td>\n      <td>{'🙏': 3}</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00053-bff284c2-3143-4fda-8242-5bcb261b57c7",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "e5da3f41",
        "execution_millis": 26,
        "execution_start": 1619871449161,
        "deepnote_cell_type": "code"
      },
      "source": "ashiish_emojis = user_emoji_df[user_emoji_df[\"user\"]==\"Ashiish Karhade\"]\nlister = []\nfor item in ashiish_emojis[\"no.of emojis\"]:\n    lister.append(item)\nprint(lister)",
      "execution_count": 41,
      "outputs": [
        {
          "name": "stdout",
          "text": "[{'😆': 4}, {'🤣': 3}, {'🧲': 1}, {}, {}, {'😂': 1}, {}, {'😂': 1}, {'😂': 2}, {'😁': 1}, {}, {'😄': 2}, {}, {'😂': 2}, {}, {'🤣': 2}, {'🚀': 1}, {}, {'😂': 2}, {}, {'😬': 1}, {'😆': 3}, {}, {'😂': 1}, {'😄': 1}, {'😄': 1}, {'😆': 24}, {}, {}, {}, {}, {}, {}, {}, {}, {'💨': 1}, {'👏': 1, '🏻': 1, '✅': 1}, {}, {}, {}, {}, {'🤗': 1}, {'😂': 2}, {}, {'🤟': 1, '🏻': 1}, {}, {'😂': 2, '🤣': 1}, {}, {}, {}, {}, {}, {}, {'😀': 1}, {}, {'👀': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {'😆': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😃': 1}, {}, {}, {}, {'😁': 1}, {'😁': 1, '😅': 1}, {}, {}, {}, {}, {'😅': 1}, {}, {}, {}, {}, {}, {}, {}, {'😄': 1}, {'😃': 1}, {'😄': 1, '😂': 1}, {'😅': 1}, {'😅': 1}, {}, {}, {'🤟': 1, '🏻': 1}, {'😂': 1}, {}, {'😆': 2}, {'😂': 1, '🤣': 1}, {'😄': 1, '😁': 1, '😂': 1}, {'🤣': 4}, {}, {'😄': 1}, {'🤔': 1, '💭': 1}, {}, {'😁': 1}, {'😂': 1}, {}, {'😄': 1}, {'✊': 1, '🏻': 1}, {}, {}, {'✊': 1, '🏻': 1}, {}, {'😂': 1, '😅': 1, '😇': 1}, {'😂': 2}, {}, {'🤟': 1, '🏻': 1}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {'🤟': 1, '🏻': 1}, {}, {}, {}, {}, {'😂': 1, '🤣': 1}, {}, {'😂': 1}, {'😂': 2}, {'😂': 1}, {'🤣': 2}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {'🤟': 1, '🏻': 1}, {'😄': 1}, {}, {}, {'😂': 1, '🤣': 1}, {'😂': 1}, {}, {}, {}, {}, {'🤣': 2}, {}, {}, {}, {'😁': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😮': 1}, {}, {}, {}, {'😬': 1}, {}, {}, {'😂': 1}, {'😅': 1}, {}, {'😄': 1}, {}, {}, {}, {}, {}, {'🤘': 1, '🏻': 1}, {}, {}, {'😅': 1}, {'😂': 2}, {}, {}, {'😂': 1}, {}, {'😂': 1}, {'🤢': 4, '🤮': 1}, {}, {'😁': 1}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {'😆': 3, '👌': 4, '🏻': 4}, {}, {}, {}, {}, {}, {'😂': 2}, {}, {'😂': 1}, {'🤗': 1}, {'😂': 1}, {'😆': 2}, {}, {}, {}, {}, {}, {'🤔': 1}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {'🤘': 1, '🏻': 1}, {}, {'😁': 1, '😂': 1}, {'😂': 1}, {'😆': 1, '🤣': 1, '😂': 1, '😛': 1}, {'😛': 1, '😝': 1}, {'😅': 1}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {'👏': 3, '🏻': 3}, {}, {'😜': 1}, {}, {}, {}, {'😳': 1}, {'😂': 2}, {}, {}, {'😅': 1, '😜': 1}, {'😆': 1}, {'💭': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😆': 4}, {}, {}, {}, {}, {'😟': 1}, {}, {'😂': 1}, {}, {'😛': 2}, {}, {}, {}, {'😅': 1}, {}, {'😂': 1}, {}, {'😝': 5}, {}, {'🔥': 1}, {}, {}, {}, {}, {'😂': 1, '😅': 1}, {'😅': 1}, {}, {'😄': 1, '😁': 1}, {'😂': 2}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {'😂': 1}, {'😆': 1}, {}, {'😝': 1}, {'😂': 1}, {}, {}, {}, {'😆': 2}, {}, {'😂': 1}, {'😂': 2}, {}, {}, {'😅': 1}, {}, {}, {}, {}, {'😆': 2}, {'😂': 2}, {'😡': 3}, {'😅': 1}, {'👌': 1, '🏻': 1}, {}, {}, {'😅': 1}, {'😂': 1}, {'✊': 1, '🏻': 1}, {'😅': 1}, {'😂': 2}, {}, {'🧘🏻\\u200d♂️': 1}, {}, {}, {}, {}, {}, {}, {'🤣': 1, '😆': 1}, {}, {}, {}, {'🤣': 1}, {'😟': 1, '😆': 2}, {'😂': 2, '🤣': 1}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {'🥳': 2}, {'😄': 1}, {}, {'🤔': 1}, {}, {'😂': 2}, {'😬': 1}, {'😂': 1}, {'😂': 1}, {'👌': 2, '🏻': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 2}, {}, {'😂': 1}, {'😂': 2}, {'🙏': 1, '🏻': 1}, {'😂': 2}, {}, {}, {}, {}, {}, {'😒': 2}, {}, {}, {}, {}, {}, {}, {}, {'😝': 2}, {}, {}, {}, {'😆': 2}, {'😆': 3}, {'😆': 2}, {}, {'😂': 2}, {'😂': 1}, {'🙅🏻\\u200d♂️': 1}, {'😂': 1}, {}, {}, {}, {}, {'😬': 1}, {'🤔': 1}, {'😖': 1}, {}, {}, {'😀': 1}, {'😂': 2}, {'😆': 3}, {'😎': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'🤔': 1}, {}, {}, {}, {'😯': 1}, {}, {}, {}, {}, {}, {'😂': 1}, {'😂': 1}, {'🔥': 1}, {'😅': 1}, {}, {'😅': 1, '😂': 1}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {'😅': 1}, {'😁': 1}, {'💡': 1}, {'😂': 2}, {'😂': 1}, {'😂': 1}, {'🥳': 1}, {}, {}, {}, {'😛': 1}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'🤣': 4, '😂': 2, '😆': 2}, {}, {}, {}, {'😂': 2}, {}, {'😆': 2, '🤣': 1}, {}, {}, {'😂': 2}, {}, {}, {'😂': 3}, {}, {}, {}, {'😂': 1}, {}, {'😂': 2, '🤣': 1}, {'😜': 2}, {'😂': 2}, {}, {}, {'😆': 1}, {'😆': 1, '😂': 1}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'🙌': 1, '🏼': 1}, {}, {}, {}, {}, {}, {}, {}, {'😆': 1}, {}, {}, {'😅': 1}, {'😂': 1}, {}, {'😄': 1}, {'🤪': 1}, {}, {}, {'😯': 1}, {}, {}, {}, {}, {'🤔': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 2}, {'🎉': 1}, {}, {}, {'😂': 1}, {}, {}, {'😂': 2}, {}, {'😂': 1}, {'💪': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😅': 1}, {}, {}, {}, {'😳': 1}, {}, {}, {}, {}, {'😜': 1}, {}, {'😂': 1}, {}, {}, {'🤔': 1}, {}, {}, {}, {'😁': 1}, {}, {'😕': 1}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {'😄': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😆': 2}, {}, {}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {'😂': 2}, {}, {}, {'😨': 1}, {}, {'🥳': 1}, {'😂': 3}, {}, {}, {}, {'😂': 2}, {}, {'😂': 2}, {'🙌': 1, '🏼': 1}, {}, {}, {'✊': 1, '🏼': 1}, {'😅': 1, '😂': 1}, {}, {}, {'😛': 1}, {'🙏': 1}, {}, {}, {'😂': 1}, {'✌': 1, '🏻': 1}, {}, {}, {}, {}, {'😂': 3}, {}, {}, {}, {}, {}, {'😵': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'✊': 1, '🏻': 1}, {'😅': 3}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'✌': 1, '🏼': 1}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'✌': 1, '🏼': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {'🙏': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😅': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {'🙌': 3, '🏼': 3}, {}, {'😵': 1}, {}, {}, {}, {}, {}, {}, {}, {'😛': 1}, {}, {'😅': 1, '😂': 1}, {}, {}, {}, {}, {'😛': 1}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😆': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {'😂': 1}, {'🔥': 1}, {'✌': 2}, {}, {}, {}, {'🎉': 1}, {'🔥': 2, '😂': 1}, {}, {}, {}, {}, {'😂': 2}, {}, {}, {'😂': 2}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {'😮': 1, '🥳': 3}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {'😅': 2}, {}, {}, {}, {}, {}, {}, {'😂': 3}, {}, {'😆': 1, '😂': 3}, {}, {}, {}, {}, {}, {}, {}, {'😀': 3}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {'😂': 1, '😅': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😄': 1, '😂': 1}, {}, {}, {}, {}, {}, {}, {'😂': 1, '🤣': 2}, {}, {}, {'😲': 1}, {'🔥': 1}, {}, {'🤯': 1}, {'🤭': 2}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {'😅': 1}, {}, {}, {}, {}, {}, {}, {'✅': 2}, {}, {}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {'🤔': 2}, {'😂': 2, '🤣': 1}, {}, {}, {'👏': 1}, {}, {'🔥': 1}, {}, {}, {}, {}, {'😂': 1}, {'😂': 2}, {}, {}, {}, {}, {}, {'🤦🏻\\u200d♂️': 4}, {}, {'😎': 1}, {'😖': 1}, {'🙄': 1}, {'😂': 2}, {}, {}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {}, {}, {'😅': 2, '😛': 2}, {'😆': 1, '😂': 1}, {}, {'😁': 1}, {'🤩': 1}, {'🙌': 4}, {}, {}, {'😂': 1}, {}, {}, {}, {}, {'😬': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'😃': 3}, {'🔥': 3}, {'☄': 1, '🔥': 3}, {}, {'🤩': 1, '🥳': 2}, {}, {}, {}, {}, {}, {}, {'😂': 1}, {'😅': 1}, {}, {}, {}, {'😅': 1, '😂': 1}, {}, {'😲': 1}, {}, {}, {}, {}, {'😬': 3}, {'😂': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {'🙌': 3}, {'😅': 1}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "### 8. What are the top words used in the conversation?",
      "metadata": {
        "tags": [],
        "cell_id": "00052-9984b676-b075-4edc-9292-21992e3b6487",
        "deepnote_cell_type": "text-cell-h3"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00053-e792393a-0ba0-40ee-9d01-c0500dffe2b3",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "2ce3b88e",
        "execution_start": 1619871450838,
        "execution_millis": 62,
        "deepnote_cell_type": "code"
      },
      "source": "from wordcloud import WordCloud, STOPWORDS",
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00054-70ba4d97-f609-4dfe-8cc6-af75f8ab30b7",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "a05f772a",
        "execution_millis": 1474,
        "execution_start": 1619871452141,
        "deepnote_cell_type": "code"
      },
      "source": "whatsapp_df4 = whatsapp_df.copy()\nstopwords = set(STOPWORDS)\n\nword = \" \".join(review for review in whatsapp_df4.message)\n#stopwords.update([\"the\",\"is\",\"yea\",\"ok\",\"okay\",\"or\",\"bye\",\"no\",\"will\",\"yeah\",\"I\",\"almost\",\"if\",\"me\",\"you\",\"done\",\"want\",\"Ya\"])\n\nwordcloud = WordCloud(width = 500, height =500 ,stopwords=stopwords, background_color=\"black\",min_font_size = 10).generate(word)\n\nplt.figure( figsize=(10,5))\nplt.imshow(wordcloud, interpolation='bilinear')\nplt.axis(\"off\")\nplt.show()",
      "execution_count": 43,
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 720x360 with 1 Axes>",
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 286,
              "height": 286
            }
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00055-ae2e9d9d-ccc7-41f1-92c5-1a77ddabc227",
        "deepnote_to_be_reexecuted": false,
        "source_hash": "a43e347f",
        "execution_start": 1619871454701,
        "execution_millis": 245,
        "deepnote_cell_type": "code"
      },
      "source": "wordcloud.to_image()",
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 44,
          "data": {
            "text/plain": "<PIL.Image.Image image mode=RGB size=500x500 at 0x7FA9D3699850>",
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 500,
              "height": 500
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "cell_id": "00058-f297bb0b-7def-4c5f-a20a-7494c41bfd76",
        "deepnote_cell_type": "code"
      },
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "<a style='text-decoration:none;line-height:16px;display:flex;color:#5B5B62;padding:10px;justify-content:end;' href='https://deepnote.com?utm_source=created-in-deepnote-cell&projectId=ee8e7939-c4c7-44d7-967f-972aa6fac8de' target=\"_blank\">\n<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' > </img>\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>",
      "metadata": {
        "tags": [],
        "created_in_deepnote_cell": true,
        "deepnote_cell_type": "markdown"
      }
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 2,
  "metadata": {
    "orig_nbformat": 2,
    "deepnote": {
      "is_reactive": false
    },
    "deepnote_notebook_id": "bbf79782-9b25-4a57-a00d-7afb2cf7822d",
    "deepnote_execution_queue": []
  }
}