Chat Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import streamlit as st\n",
    "import pandas as pd\n",
    "import re\n",
    "from urlextract import URLExtract\n",
    "from wordcloud import WordCloud\n",
    "import pandas as pd\n",
    "from collections import Counter\n",
    "import emoji\n",
    "import matplotlib.pyplot as plt\n",
    "# import matplotlib\n",
    "# matplotlib.use('Agg')\n",
    "import plotly.express as px\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Validate Regex : https://regex101.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '_chat 3.txt'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/Users/aayushgupta/Desktop/VS Git/Working/WhatsApp Chat Analysis/Chat Analysis.ipynb Cell 4\u001b[0m line \u001b[0;36m2\n\u001b[1;32m      <a href='vscode-notebook-cell:/Users/aayushgupta/Desktop/VS%20Git/Working/WhatsApp%20Chat%20Analysis/Chat%20Analysis.ipynb#W3sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39m# Closing the file in important for preventing data access later and for other programs to access the file also.\u001b[39;00m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/aayushgupta/Desktop/VS%20Git/Working/WhatsApp%20Chat%20Analysis/Chat%20Analysis.ipynb#W3sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m f \u001b[39m=\u001b[39m \u001b[39mopen\u001b[39;49m(\u001b[39m\"\u001b[39;49m\u001b[39m_chat 3.txt\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n\u001b[1;32m      <a href='vscode-notebook-cell:/Users/aayushgupta/Desktop/VS%20Git/Working/WhatsApp%20Chat%20Analysis/Chat%20Analysis.ipynb#W3sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m data \u001b[39m=\u001b[39m f\u001b[39m.\u001b[39mread()\n\u001b[1;32m      <a href='vscode-notebook-cell:/Users/aayushgupta/Desktop/VS%20Git/Working/WhatsApp%20Chat%20Analysis/Chat%20Analysis.ipynb#W3sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m f\u001b[39m.\u001b[39mclose()\n",
      "File \u001b[0;32m~/Library/Python/3.10/lib/python/site-packages/IPython/core/interactiveshell.py:284\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m    277\u001b[0m \u001b[39mif\u001b[39;00m file \u001b[39min\u001b[39;00m {\u001b[39m0\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m2\u001b[39m}:\n\u001b[1;32m    278\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m    279\u001b[0m         \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mIPython won\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt let you open fd=\u001b[39m\u001b[39m{\u001b[39;00mfile\u001b[39m}\u001b[39;00m\u001b[39m by default \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    280\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    281\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39myou can use builtins\u001b[39m\u001b[39m'\u001b[39m\u001b[39m open.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    282\u001b[0m     )\n\u001b[0;32m--> 284\u001b[0m \u001b[39mreturn\u001b[39;00m io_open(file, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '_chat 3.txt'"
     ]
    }
   ],
   "source": [
    "# Closing the file in important for preventing data access later and for other programs to access the file also.\n",
    "f = open(\"_chat 3.txt\")\n",
    "data = f.read()\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For AM, PM Formatted Time\n",
    "pattern = \"\\[\\d{1,2}/\\d{1,2}/\\d{1,2},\\s\\d{1,2}:\\d{1,2}:\\d{1,2}\\s[APap][Mm]\\]\\s\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "message = re.split(pattern, data)[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dates = re.findall(pattern, data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({'user_message':message, 'date':dates})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- %d matches the day of the month.\n",
    "- %m matches the month.\n",
    "- %y matches the two-digit year.\n",
    "- %I matches the hour (12-hour clock).\n",
    "- %M matches the minutes.\n",
    "- %S matches the seconds.\n",
    "- %p matches \"AM\" or \"PM\" in a case-insensitive manner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['date'] = pd.to_datetime(df['date'],format='[%d/%m/%y, %I:%M:%S %p] ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>user_message</th>\n",
       "      <th>date</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Blogging Masters Program: ‎Messages and calls ...</td>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Blogging Masters Program: ‎Group creator creat...</td>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Blogging Masters Program: ‎You were added\\n</td>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>‪+91 70565 65602‬: ‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Farhan Amit Sir: ‎image omitted\\n</td>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Ankit Bhai Ezoic: Ha\\n</td>\n",
       "      <td>2022-04-14 12:53:27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Farhan Amit Sir: Payment krne pr active ho jay...</td>\n",
       "      <td>2022-04-14 12:53:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ankit Bhai Ezoic: Nhi mat karna paisa atak jae...</td>\n",
       "      <td>2022-04-14 12:54:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Farhan Amit Sir: Ye personal account hai disab...</td>\n",
       "      <td>2022-04-14 12:54:45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Farhan Amit Sir: ‎image omitted\\n</td>\n",
       "      <td>2022-04-14 12:55:18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                        user_message                date\n",
       "0  Blogging Masters Program: ‎Messages and calls ... 2019-08-07 14:44:43\n",
       "1  Blogging Masters Program: ‎Group creator creat... 2019-08-07 14:44:43\n",
       "2        Blogging Masters Program: ‎You were added\\n 2019-08-07 14:44:43\n",
       "3      ‪+91 70565 65602‬: ‎‪+91 70565 65602‬ left\\n‎ 2022-04-14 13:13:17\n",
       "4                  Farhan Amit Sir: ‎image omitted\\n 2022-04-14 12:51:06\n",
       "5                             Ankit Bhai Ezoic: Ha\\n 2022-04-14 12:53:27\n",
       "6  Farhan Amit Sir: Payment krne pr active ho jay... 2022-04-14 12:53:45\n",
       "7  Ankit Bhai Ezoic: Nhi mat karna paisa atak jae... 2022-04-14 12:54:10\n",
       "8  Farhan Amit Sir: Ye personal account hai disab... 2022-04-14 12:54:45\n",
       "9                  Farhan Amit Sir: ‎image omitted\\n 2022-04-14 12:55:18"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1324, 2)"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separting user and message\n",
    "users = []\n",
    "messages = []\n",
    "for message in df['user_message']:\n",
    "    line = re.split('([\\w\\W]+?):\\s', message)\n",
    "    users.append(line[1])\n",
    "    messages.append(line[2])\n",
    "df['user'] = users\n",
    "df['message'] = messages\n",
    "df.drop(columns='user_message', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Group creator created this group\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎You were added\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
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       "      <td>‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                 date                      user  \\\n",
       "0 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "1 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "2 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "3 2022-04-14 13:13:17         ‪+91 70565 65602‬   \n",
       "4 2022-04-14 12:51:06           Farhan Amit Sir   \n",
       "\n",
       "                                             message  \n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  \n",
       "1                ‎Group creator created this group\\n  \n",
       "2                                  ‎You were added\\n  \n",
       "3                         ‎‪+91 70565 65602‬ left\\n‎  \n",
       "4                                   ‎image omitted\\n  "
      ]
     },
     "execution_count": 149,
     "metadata": {},
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    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date       0\n",
       "user       0\n",
       "message    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 150,
     "metadata": {},
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   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Extracting Years, Months, Days\n",
    "df['year'] = df['date'].dt.year\n",
    "df['month'] = df['date'].dt.month_name()\n",
    "df['day'] = df['date'].dt.day\n",
    "df['hour'] = df['date'].dt.hour\n",
    "df['minute'] = df['date'].dt.minute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
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       "      <th>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Group creator created this group\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎You were added\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
       "      <td>‪+91 70565 65602‬</td>\n",
       "      <td>‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-04-14 12:53:27</td>\n",
       "      <td>Ankit Bhai Ezoic</td>\n",
       "      <td>Ha\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-04-14 12:53:45</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>Payment krne pr active ho jayega kya\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-04-14 12:54:10</td>\n",
       "      <td>Ankit Bhai Ezoic</td>\n",
       "      <td>Nhi mat karna paisa atak jaega\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-04-14 12:54:45</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>Ye personal account hai disabled ho gya hai bu...</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-04-14 12:55:18</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                      user  \\\n",
       "0 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "1 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "2 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "3 2022-04-14 13:13:17         ‪+91 70565 65602‬   \n",
       "4 2022-04-14 12:51:06           Farhan Amit Sir   \n",
       "5 2022-04-14 12:53:27          Ankit Bhai Ezoic   \n",
       "6 2022-04-14 12:53:45           Farhan Amit Sir   \n",
       "7 2022-04-14 12:54:10          Ankit Bhai Ezoic   \n",
       "8 2022-04-14 12:54:45           Farhan Amit Sir   \n",
       "9 2022-04-14 12:55:18           Farhan Amit Sir   \n",
       "\n",
       "                                             message  year   month  day  hour  \\\n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  2019  August    7    14   \n",
       "1                ‎Group creator created this group\\n  2019  August    7    14   \n",
       "2                                  ‎You were added\\n  2019  August    7    14   \n",
       "3                         ‎‪+91 70565 65602‬ left\\n‎  2022   April   14    13   \n",
       "4                                   ‎image omitted\\n  2022   April   14    12   \n",
       "5                                               Ha\\n  2022   April   14    12   \n",
       "6             Payment krne pr active ho jayega kya\\n  2022   April   14    12   \n",
       "7                   Nhi mat karna paisa atak jaega\\n  2022   April   14    12   \n",
       "8  Ye personal account hai disabled ho gya hai bu...  2022   April   14    12   \n",
       "9                                   ‎image omitted\\n  2022   April   14    12   \n",
       "\n",
       "   minute  \n",
       "0      44  \n",
       "1      44  \n",
       "2      44  \n",
       "3      13  \n",
       "4      51  \n",
       "5      53  \n",
       "6      53  \n",
       "7      54  \n",
       "8      54  \n",
       "9      55  "
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['\\u202a+91\\xa070565\\xa065602\\u202c', 'Farhan Amit Sir', 'Ankit Bhai Ezoic', '~\\u202fPranay Meshram', '~\\u202fTaqui', 'Amit Mishra', '~\\u202fBanti Pataskar', 'Riddhish Chaudhari', '~\\u202fSaptarshi dhar', '~\\u202fAmit', '~\\u202fKhushi', '~\\u202fThe Uttam Gupta | Digital Marketing Services Company', '~\\u202fFeroz Khan', '~\\u202fAg', '~\\u202fSatya Narayan Nandi', '~\\u202fMr.', '~\\u202fRashpreet Singh Ji', '~\\u202fAnkit Chaudhary', '~\\u202fHave Passion', '~\\u202fRavinder S Negi', '~\\u202fBhaskar Kushwaha', '~\\u202fSwapnil Bendale', '~\\u202fKeep Going!', '~\\u202fSankalp Arora', '~\\u202fMohib', '~\\u202fRishabh Shrivastava', '~\\u202fManoj Goel Technical Marketer', '~\\u202fUm', '~\\u202fSHAMIYA KHAN PATTAN', '\\u202a+91\\xa099718\\xa074320\\u202c', '~\\u202fGurwinder Sekhon', '~\\u202fSanjay Y', '~\\u202fabhay🔥', '~\\u202fVipul', '\\u202a+91\\xa095100\\xa046646\\u202c', '~\\u202fNomad Baba 👣🌍', '~\\u202fDhruv Purwar', '~\\u202fBharat Go Digital', '~\\u202f.', '~\\u202f~~¶•¶✓', '~\\u202fOM Prakash', '~\\u202fFS', '~\\u202fMohit', '~\\u202fZeeshan', '~\\u202fHoney', '\\u202a+91\\xa082075\\xa005280\\u202c', '~\\u202fSonal', '~\\u202fRichard Bose', '~\\u202fNishant', '\\u202a+91\\xa086957\\xa044064\\u202c', '~\\u202fसोला दूणी आठ', '~\\u202fPraveen Rai', '~\\u202fHimanshu Gupta', '~\\u202fShubham Verma', '~\\u202fVasim Khan', '~\\u202fKahuna', '~\\u202fKaran Trivedi', '~\\u202fMahendra K Khunt', 'Amit Sir Grp Member 1', '~\\u202fPraveen.', '~\\u202fBeton', '~\\u202fHarsh', '~\\u202fMH 32 Traveller', '~\\u202fVinod Gupta', '~\\u202fMayank Patel', '~\\u202fKarmicbuzz Spirituality', '~\\u202fPraveen', '~\\u202fRajat', '~\\u202fPrasenjit Dey', '~\\u202fChetan Rakheja', '~\\u202fSarbjit Singh', '~\\u202f◡̈⃝Shivam', '~\\u202fSayed', '\\u202a+91\\xa06393\\xa0690\\xa0905\\u202c', '~\\u202fYogesh', '~\\u202fUtkarsh Naik', '~\\u202fKoushik', '~\\u202fTejeshwer', '~\\u202fParas', '~\\u202fAvijit', '~\\u202fms', '~\\u202fRam Anuj Mishra', '~\\u202fPankaj Goyal', '\\u202a+91\\xa090268\\xa068613\\u202c', '~\\u202fAnjali', '~\\u202fSocial Worker', '~\\u202fAbhishek', '~\\u202f👑Vaibhav Gurav 👑', '~\\u202fRahul Upase', '~\\u202fAmbesh Tiwari', '~\\u202fAjay Yadav', '~\\u202fGauri Dutt', '~\\u202fDigital Pankaj', '~\\u202fPknumbhral', '~\\u202fM', 'Aayush', '~\\u202fS Λ J Λ N S H Λ H', '~\\u202fSagar', '~\\u202fSumant Lohar', '\\u202a+880\\xa01914‑201802\\u202c', '~\\u202fabhinv', '~\\u202fPradeep Kumar', '~\\u202fTayyab', '~\\u202f..', '~\\u202fAkash Nayak', '~\\u202fS M Ali Abidi', '~\\u202fNirbhay Khaire', '~\\u202fRudra Singh', '~\\u202fMichiel Grotenhuis', '\\u202a+91\\xa094475\\xa033001\\u202c', '~\\u202fRupesh Sethi']\n"
     ]
    }
   ],
   "source": [
    "# Removeing Group Name it's alays at postion 0\n",
    "users_list = df[\"user\"].unique().tolist()\n",
    "if len(users_list) > 2:\n",
    "    users_list.remove(users_list[0])\n",
    "print(users_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "users_list = df[\"user\"].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1324 entries, 0 to 1323\n",
      "Data columns (total 8 columns):\n",
      " #   Column   Non-Null Count  Dtype         \n",
      "---  ------   --------------  -----         \n",
      " 0   date     1324 non-null   datetime64[ns]\n",
      " 1   user     1324 non-null   object        \n",
      " 2   message  1324 non-null   object        \n",
      " 3   year     1324 non-null   int32         \n",
      " 4   month    1324 non-null   object        \n",
      " 5   day      1324 non-null   int32         \n",
      " 6   hour     1324 non-null   int32         \n",
      " 7   minute   1324 non-null   int32         \n",
      "dtypes: datetime64[ns](1), int32(4), object(3)\n",
      "memory usage: 62.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_user = 'Aayush'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df[df[\"user\"] == selected_user][\"message\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words = []\n",
    "for word in df[df[\"user\"]==selected_user][\"message\"]:\n",
    "    for i in word.split():\n",
    "        words.append(i)\n",
    "num_words = len(words)\n",
    "num_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Media shared in group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>message</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>‎image omitted\\n‎</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>‎audio omitted\\n</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>‎video omitted\\n</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>YouTube-Thumbnails.pdf • ‎9 pages ‎document om...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Skill Achievers Brochure (2).pdf • ‎15 pages ‎...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>‎sticker omitted\\n</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>‎sticker omitted\\n‎</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>‎audio omitted\\n‎</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>‎video omitted\\n‎</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             message  count\n",
       "0                                   ‎image omitted\\n     63\n",
       "1                                  ‎image omitted\\n‎     16\n",
       "2                                   ‎audio omitted\\n      5\n",
       "3                                   ‎video omitted\\n      3\n",
       "4  YouTube-Thumbnails.pdf • ‎9 pages ‎document om...      1\n",
       "5  Skill Achievers Brochure (2).pdf • ‎15 pages ‎...      1\n",
       "6                                 ‎sticker omitted\\n      1\n",
       "7                                ‎sticker omitted\\n‎      1\n",
       "8                                  ‎audio omitted\\n‎      1\n",
       "9                                  ‎video omitted\\n‎      1"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"message\"].str.contains(r'omitted',case=False, regex=True)][\"message\"].value_counts().reset_index().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"message\"].str.contains(r'omitted',case=False, regex=True)][\"message\"].value_counts().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most active users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "active_users = df[\"user\"].value_counts()[df[\"user\"].value_counts()>10].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>user</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amit Mishra</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>~ Satya Narayan Nandi</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>~ Mohib</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Riddhish Chaudhari</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>~ The Uttam Gupta | Digital Marketing Services...</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>~ Ravinder S Negi</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>~ Karmicbuzz Spirituality</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>~ Amit</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>~ Honey</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>~ Have Passion</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>~ Swapnil Bendale</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>~ Sayed</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>~ Nishant</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>~ Feroz Khan</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>~ abhay🔥</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>~ Saptarshi dhar</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>~ Banti Pataskar</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>~ Praveen</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>~ Utkarsh Naik</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>~ Ankit Chaudhary</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>~ SHAMIYA KHAN PATTAN</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>~ Pranay Meshram</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>~ Sanjay Y</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>~ Nomad Baba 👣🌍</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>~ .</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>~ Kahuna</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>~ S M Ali Abidi</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>~ Ag</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 user  count\n",
       "0                                         Amit Mishra    255\n",
       "1                               ~ Satya Narayan Nandi    110\n",
       "2                                             ~ Mohib     76\n",
       "3                                  Riddhish Chaudhari     70\n",
       "4   ~ The Uttam Gupta | Digital Marketing Services...     54\n",
       "5                                   ~ Ravinder S Negi     54\n",
       "6                           ~ Karmicbuzz Spirituality     50\n",
       "7                                              ~ Amit     45\n",
       "8                                             ~ Honey     28\n",
       "9                                      ~ Have Passion     27\n",
       "10                                  ~ Swapnil Bendale     26\n",
       "11                                            ~ Sayed     26\n",
       "12                                          ~ Nishant     23\n",
       "13                                       ~ Feroz Khan     20\n",
       "14                                           ~ abhay🔥     20\n",
       "15                                   ~ Saptarshi dhar     19\n",
       "16                                   ~ Banti Pataskar     18\n",
       "17                                          ~ Praveen     17\n",
       "18                                     ~ Utkarsh Naik     15\n",
       "19                                  ~ Ankit Chaudhary     14\n",
       "20                              ~ SHAMIYA KHAN PATTAN     13\n",
       "21                                   ~ Pranay Meshram     12\n",
       "22                                         ~ Sanjay Y     12\n",
       "23                                    ~ Nomad Baba 👣🌍     11\n",
       "24                                                ~ .     11\n",
       "25                                           ~ Kahuna     11\n",
       "26                                    ~ S M Ali Abidi     11\n",
       "27                                               ~ Ag     11"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "active_users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/pylabtools.py:152: UserWarning:\n",
      "\n",
      "Glyph 128293 (\\N{FIRE}) missing from current font.\n",
      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/pylabtools.py:152: UserWarning:\n",
      "\n",
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      "\n",
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      "\n",
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "active_plot = plt.bar(active_users[\"user\"], active_users[\"count\"])\n",
    "plt.xticks(rotation=\"vertical\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conclusion: Most active user in Nilay"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Msg Sent based on percent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>Name</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amit Mishra</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>~ Satya Narayan Nandi</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>~ Mohib</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Riddhish Chaudhari</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>~ The Uttam Gupta | Digital Marketing Services...</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>~ Ravinder S Negi</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>~ Karmicbuzz Spirituality</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>~ Amit</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>~ Honey</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>~ Have Passion</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>~ Swapnil Bendale</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>~ Sayed</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>~ Nishant</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>~ Feroz Khan</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>~ abhay🔥</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>~ Saptarshi dhar</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>~ Banti Pataskar</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>~ Praveen</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>~ Utkarsh Naik</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>~ Ankit Chaudhary</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>~ SHAMIYA KHAN PATTAN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>~ Pranay Meshram</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>~ Sanjay Y</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>~ Nomad Baba 👣🌍</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>~ .</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>~ Kahuna</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>~ S M Ali Abidi</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>~ Ag</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Name  Percent\n",
       "0                                         Amit Mishra     19.0\n",
       "1                               ~ Satya Narayan Nandi      8.0\n",
       "2                                             ~ Mohib      6.0\n",
       "3                                  Riddhish Chaudhari      5.0\n",
       "4   ~ The Uttam Gupta | Digital Marketing Services...      4.0\n",
       "5                                   ~ Ravinder S Negi      4.0\n",
       "6                           ~ Karmicbuzz Spirituality      4.0\n",
       "7                                              ~ Amit      3.0\n",
       "8                                             ~ Honey      2.0\n",
       "9                                      ~ Have Passion      2.0\n",
       "10                                  ~ Swapnil Bendale      2.0\n",
       "11                                            ~ Sayed      2.0\n",
       "12                                          ~ Nishant      2.0\n",
       "13                                       ~ Feroz Khan      2.0\n",
       "14                                           ~ abhay🔥      2.0\n",
       "15                                   ~ Saptarshi dhar      1.0\n",
       "16                                   ~ Banti Pataskar      1.0\n",
       "17                                          ~ Praveen      1.0\n",
       "18                                     ~ Utkarsh Naik      1.0\n",
       "19                                  ~ Ankit Chaudhary      1.0\n",
       "20                              ~ SHAMIYA KHAN PATTAN      1.0\n",
       "21                                   ~ Pranay Meshram      1.0\n",
       "22                                         ~ Sanjay Y      1.0\n",
       "23                                    ~ Nomad Baba 👣🌍      1.0\n",
       "24                                                ~ .      1.0\n",
       "25                                           ~ Kahuna      1.0\n",
       "26                                    ~ S M Ali Abidi      1.0\n",
       "27                                               ~ Ag      1.0"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overall_active_user_df = round(df[\"user\"].value_counts()[df[\"user\"].value_counts()>10]/df.shape[0]*100).reset_index().rename(columns={'user':'Name', 'count':'Percent'})\n",
    "overall_active_user_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0,\n",
       "  1,\n",
       "  2,\n",
       "  3,\n",
       "  4,\n",
       "  5,\n",
       "  6,\n",
       "  7,\n",
       "  8,\n",
       "  9,\n",
       "  10,\n",
       "  11,\n",
       "  12,\n",
       "  13,\n",
       "  14,\n",
       "  15,\n",
       "  16,\n",
       "  17,\n",
       "  18,\n",
       "  19,\n",
       "  20,\n",
       "  21,\n",
       "  22,\n",
       "  23,\n",
       "  24,\n",
       "  25,\n",
       "  26,\n",
       "  27],\n",
       " [Text(0, 0, 'Amit Mishra'),\n",
       "  Text(1, 0, '~\\u202fSatya Narayan Nandi'),\n",
       "  Text(2, 0, '~\\u202fMohib'),\n",
       "  Text(3, 0, 'Riddhish Chaudhari'),\n",
       "  Text(4, 0, '~\\u202fThe Uttam Gupta | Digital Marketing Services Company'),\n",
       "  Text(5, 0, '~\\u202fRavinder S Negi'),\n",
       "  Text(6, 0, '~\\u202fKarmicbuzz Spirituality'),\n",
       "  Text(7, 0, '~\\u202fAmit'),\n",
       "  Text(8, 0, '~\\u202fHoney'),\n",
       "  Text(9, 0, '~\\u202fHave Passion'),\n",
       "  Text(10, 0, '~\\u202fSwapnil Bendale'),\n",
       "  Text(11, 0, '~\\u202fSayed'),\n",
       "  Text(12, 0, '~\\u202fNishant'),\n",
       "  Text(13, 0, '~\\u202fFeroz Khan'),\n",
       "  Text(14, 0, '~\\u202fabhay🔥'),\n",
       "  Text(15, 0, '~\\u202fSaptarshi dhar'),\n",
       "  Text(16, 0, '~\\u202fBanti Pataskar'),\n",
       "  Text(17, 0, '~\\u202fPraveen'),\n",
       "  Text(18, 0, '~\\u202fUtkarsh Naik'),\n",
       "  Text(19, 0, '~\\u202fAnkit Chaudhary'),\n",
       "  Text(20, 0, '~\\u202fSHAMIYA KHAN PATTAN'),\n",
       "  Text(21, 0, '~\\u202fPranay Meshram'),\n",
       "  Text(22, 0, '~\\u202fSanjay Y'),\n",
       "  Text(23, 0, '~\\u202fNomad Baba 👣🌍'),\n",
       "  Text(24, 0, '~\\u202f.'),\n",
       "  Text(25, 0, '~\\u202fKahuna'),\n",
       "  Text(26, 0, '~\\u202fS M Ali Abidi'),\n",
       "  Text(27, 0, '~\\u202fAg')])"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/events.py:93: UserWarning:\n",
      "\n",
      "Glyph 128099 (\\N{FOOTPRINTS}) missing from current font.\n",
      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/events.py:93: UserWarning:\n",
      "\n",
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      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/pylabtools.py:152: UserWarning:\n",
      "\n",
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      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/pylabtools.py:152: UserWarning:\n",
      "\n",
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      "\n",
      "/Users/aayushgupta/Library/Python/3.10/lib/python/site-packages/IPython/core/pylabtools.py:152: UserWarning:\n",
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(overall_active_user_df[\"Name\"],overall_active_user_df[\"Percent\"])\n",
    "plt.xticks(rotation='vertical')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Nilay has 32 percent countribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wordcloud and Frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "message_data = df['message'].str.cat(sep=' ')\n",
    "message_data = message_data.lower()\n",
    "message_data = re.sub('[^a-zA-Z]', ' ', message_data)\n",
    "message_data = re.sub('\\s+',' ', message_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>Words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>to</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>i</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>for</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>you</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>in</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>is</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>the</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>this</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>can</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>and</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Words  count\n",
       "0    to    271\n",
       "1     i    222\n",
       "2   for    190\n",
       "3   you    181\n",
       "4    in    147\n",
       "5    is    147\n",
       "6   the    140\n",
       "7  this    135\n",
       "8   can    123\n",
       "9   and    119"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To view in DF\n",
    "message_data_df = pd.DataFrame(message_data.split(), columns=[\"Words\"])\n",
    "message_data_df = message_data_df.value_counts().reset_index()\n",
    "message_data_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing the stopwords\n",
    "stopwords_file = open('stopwords.txt')\n",
    "stopwords = stopwords_file.read()\n",
    "stopwords_file.close()\n",
    "all_stopwords = stopwords.split() + ['haa','kr', 'omitted', 'sticker', 'image', 'https', 'www']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# filtered message data after removing stopwordss\n",
    "filtered_text_data = []\n",
    "for word in message_data.split():\n",
    "    if word.lower() not in all_stopwords:\n",
    "        filtered_text_data.append(word)\n",
    "filtered_text_data = \" \".join(filtered_text_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>Words</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>website</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>message</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>amit</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>h</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>deleted</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>blog</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>group</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hosting</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>google</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>hey</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Words  count\n",
       "0  website     62\n",
       "1  message     58\n",
       "2     amit     47\n",
       "3        h     41\n",
       "4  deleted     40\n",
       "5     blog     39\n",
       "6    group     38\n",
       "7  hosting     35\n",
       "8   google     34\n",
       "9      hey     32"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To view in filtered DF\n",
    "filtered_text_df = pd.DataFrame(filtered_text_data.split(), columns=[\"Words\"])\n",
    "filtered_text_df = filtered_text_df.value_counts().reset_index()\n",
    "filtered_text_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>Words</th>\n",
       "      <th>count</th>\n",
       "      <th>Freq. %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>website</td>\n",
       "      <td>62</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>message</td>\n",
       "      <td>58</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>amit</td>\n",
       "      <td>47</td>\n",
       "      <td>0.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>h</td>\n",
       "      <td>41</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>deleted</td>\n",
       "      <td>40</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>blog</td>\n",
       "      <td>39</td>\n",
       "      <td>0.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>group</td>\n",
       "      <td>38</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hosting</td>\n",
       "      <td>35</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>google</td>\n",
       "      <td>34</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>hey</td>\n",
       "      <td>32</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>affiliate</td>\n",
       "      <td>32</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>youtube</td>\n",
       "      <td>31</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>share</td>\n",
       "      <td>30</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>free</td>\n",
       "      <td>30</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>domain</td>\n",
       "      <td>29</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Words  count  Freq. %\n",
       "0     website     62     1.15\n",
       "1     message     58     1.07\n",
       "2        amit     47     0.87\n",
       "3           h     41     0.76\n",
       "4     deleted     40     0.74\n",
       "5        blog     39     0.72\n",
       "6       group     38     0.70\n",
       "7     hosting     35     0.65\n",
       "8      google     34     0.63\n",
       "9         hey     32     0.59\n",
       "10  affiliate     32     0.59\n",
       "11    youtube     31     0.57\n",
       "12      share     30     0.56\n",
       "13       free     30     0.56\n",
       "14     domain     29     0.54"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_text_df[\"Freq. %\"] = round((filtered_text_df[\"count\"]/filtered_text_df[\"count\"].sum())*100,2)\n",
    "filtered_text_df.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 15 artists>"
      ]
     },
     "execution_count": 172,
     "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": [
    "filtered_text_df = filtered_text_df.head(15)\n",
    "plt.barh(filtered_text_df[\"Words\"], filtered_text_df[\"count\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wordcloud = WordCloud(width=800, height=400, background_color='white').generate(filtered_text_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timeline Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['month_num'] = df[\"date\"].dt.month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Multi column in group by"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "      <th>2019</th>\n",
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       "      <th>7</th>\n",
       "      <td>58</td>\n",
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       "      <td>58</td>\n",
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       "      <td>121</td>\n",
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       "      <th>9</th>\n",
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       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>50</td>\n",
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       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">2023</th>\n",
       "      <th>1</th>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
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       "      <td>61</td>\n",
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       "      <th>2</th>\n",
       "      <td>62</td>\n",
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       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
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       "      <td>62</td>\n",
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       "      <td>29</td>\n",
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       "      <th>4</th>\n",
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       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
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       "      <th>6</th>\n",
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       "      <td>57</td>\n",
       "      <td>57</td>\n",
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       "      <td>86</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>45</td>\n",
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       "      <td>153</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                date  user  message  month  day  hour  minute\n",
       "year month_num                                               \n",
       "2019 8             3     3        3      3    3     3       3\n",
       "2022 4            96    96       96     96   96    96      96\n",
       "     5            99    99       99     99   99    99      99\n",
       "     6            83    83       83     83   83    83      83\n",
       "     7            58    58       58     58   58    58      58\n",
       "     8           121   121      121    121  121   121     121\n",
       "     9            62    62       62     62   62    62      62\n",
       "     10          129   129      129    129  129   129     129\n",
       "     11           84    84       84     84   84    84      84\n",
       "     12           50    50       50     50   50    50      50\n",
       "2023 1            61    61       61     61   61    61      61\n",
       "     2            62    62       62     62   62    62      62\n",
       "     3            29    29       29     29   29    29      29\n",
       "     4            33    33       33     33   33    33      33\n",
       "     5            11    11       11     11   11    11      11\n",
       "     6            57    57       57     57   57    57      57\n",
       "     7            86    86       86     86   86    86      86\n",
       "     8            45    45       45     45   45    45      45\n",
       "     9           153   153      153    153  153   153     153\n",
       "     10            2     2        2      2    2     2       2"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['year','month_num']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>5</td>\n",
       "      <td>May</td>\n",
       "      <td>99</td>\n",
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       "      <th>3</th>\n",
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       "      <td>83</td>\n",
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       "      <th>4</th>\n",
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       "      <th>5</th>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "      <td>September</td>\n",
       "      <td>62</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
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       "      <td>October</td>\n",
       "      <td>129</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>29</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2023</td>\n",
       "      <td>5</td>\n",
       "      <td>May</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>July</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2023</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  month_num      month  message\n",
       "1   2022          4      April       96\n",
       "2   2022          5        May       99\n",
       "3   2022          6       June       83\n",
       "4   2022          7       July       58\n",
       "5   2022          8     August      121\n",
       "6   2022          9  September       62\n",
       "7   2022         10    October      129\n",
       "8   2022         11   November       84\n",
       "9   2022         12   December       50\n",
       "10  2023          1    January       61\n",
       "11  2023          2   February       62\n",
       "12  2023          3      March       29\n",
       "13  2023          4      April       33\n",
       "14  2023          5        May       11\n",
       "15  2023          6       June       57\n",
       "16  2023          7       July       86\n",
       "17  2023          8     August       45\n",
       "18  2023          9  September      153\n",
       "19  2023         10    October        2"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timeline_df = df.groupby(['year','month_num', 'month']).count()[\"message\"].reset_index()[1:]\n",
    "timeline_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- creating a time column with year and month for plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>August</td>\n",
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       "      <th>6</th>\n",
       "      <td>2022</td>\n",
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       "      <td>September</td>\n",
       "      <td>62</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>129</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>November</td>\n",
       "      <td>84</td>\n",
       "      <td>November-2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>December</td>\n",
       "      <td>50</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>January</td>\n",
       "      <td>61</td>\n",
       "      <td>January-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>February</td>\n",
       "      <td>62</td>\n",
       "      <td>February-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>March</td>\n",
       "      <td>29</td>\n",
       "      <td>March-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023</td>\n",
       "      <td>4</td>\n",
       "      <td>April</td>\n",
       "      <td>33</td>\n",
       "      <td>April-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2023</td>\n",
       "      <td>5</td>\n",
       "      <td>May</td>\n",
       "      <td>11</td>\n",
       "      <td>May-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>June</td>\n",
       "      <td>57</td>\n",
       "      <td>June-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>July</td>\n",
       "      <td>86</td>\n",
       "      <td>July-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2023</td>\n",
       "      <td>8</td>\n",
       "      <td>August</td>\n",
       "      <td>45</td>\n",
       "      <td>August-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2023</td>\n",
       "      <td>9</td>\n",
       "      <td>September</td>\n",
       "      <td>153</td>\n",
       "      <td>September-2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>October</td>\n",
       "      <td>2</td>\n",
       "      <td>October-2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  month_num      month  message            time\n",
       "1   2022          4      April       96      April-2022\n",
       "2   2022          5        May       99        May-2022\n",
       "3   2022          6       June       83       June-2022\n",
       "4   2022          7       July       58       July-2022\n",
       "5   2022          8     August      121     August-2022\n",
       "6   2022          9  September       62  September-2022\n",
       "7   2022         10    October      129    October-2022\n",
       "8   2022         11   November       84   November-2022\n",
       "9   2022         12   December       50   December-2022\n",
       "10  2023          1    January       61    January-2023\n",
       "11  2023          2   February       62   February-2023\n",
       "12  2023          3      March       29      March-2023\n",
       "13  2023          4      April       33      April-2023\n",
       "14  2023          5        May       11        May-2023\n",
       "15  2023          6       June       57       June-2023\n",
       "16  2023          7       July       86       July-2023\n",
       "17  2023          8     August       45     August-2023\n",
       "18  2023          9  September      153  September-2023\n",
       "19  2023         10    October        2    October-2023"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time = []\n",
    "for i in range(1, timeline_df.shape[0]+1):\n",
    "    time.append(timeline_df[\"month\"][i] + '-' + str(timeline_df[\"year\"][i]))\n",
    "timeline_df['time'] = time\n",
    "timeline_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Month Wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(timeline_df['time'], timeline_df['message'], facecolor='green', alpha=0.7)\n",
    "plt.scatter(timeline_df['time'], timeline_df['message'], color='blue', marker='o')\n",
    "plt.plot(timeline_df['time'], timeline_df['message'], color='blue')\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['only_date'] = df['date'].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>only_date</th>\n",
       "      <th>message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-18</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-04-19</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-04-21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-04-24</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-04-25</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-04-26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2022-04-27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     only_date  message\n",
       "1   2022-04-14       13\n",
       "2   2022-04-15        9\n",
       "3   2022-04-16       11\n",
       "4   2022-04-18        3\n",
       "5   2022-04-19       11\n",
       "6   2022-04-21       21\n",
       "7   2022-04-24        8\n",
       "8   2022-04-25        5\n",
       "9   2022-04-26        7\n",
       "10  2022-04-27        1"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_timeline_df = df.groupby('only_date').count()[\"message\"].reset_index()[1:]\n",
    "daily_timeline_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### daily wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.bar(daily_timeline_df['only_date'], daily_timeline_df['message'], facecolor='green', alpha=0.7)\n",
    "plt.scatter(daily_timeline_df['only_date'], daily_timeline_df['message'], color='red', marker='o', s=1)\n",
    "plt.plot(daily_timeline_df['only_date'], daily_timeline_df['message'], color='red', alpha=0.2)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### weekdays wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>month_num</th>\n",
       "      <th>only_date</th>\n",
       "      <th>Weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Group creator created this group\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎You were added\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
       "      <td>‪+91 70565 65602‬</td>\n",
       "      <td>‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                      user  \\\n",
       "0 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "1 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "2 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "3 2022-04-14 13:13:17         ‪+91 70565 65602‬   \n",
       "4 2022-04-14 12:51:06           Farhan Amit Sir   \n",
       "\n",
       "                                             message  year   month  day  hour  \\\n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  2019  August    7    14   \n",
       "1                ‎Group creator created this group\\n  2019  August    7    14   \n",
       "2                                  ‎You were added\\n  2019  August    7    14   \n",
       "3                         ‎‪+91 70565 65602‬ left\\n‎  2022   April   14    13   \n",
       "4                                   ‎image omitted\\n  2022   April   14    12   \n",
       "\n",
       "   minute  month_num   only_date    Weekday  \n",
       "0      44          8  2019-08-07  Wednesday  \n",
       "1      44          8  2019-08-07  Wednesday  \n",
       "2      44          8  2019-08-07  Wednesday  \n",
       "3      13          4  2022-04-14   Thursday  \n",
       "4      51          4  2022-04-14   Thursday  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Weekday'] = df[\"date\"].dt.day_name()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    260\n",
       "1    221\n",
       "2    190\n",
       "3    180\n",
       "4    166\n",
       "5    157\n",
       "6    150\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week_timeline_df = df['Weekday'].value_counts().reset_index()\n",
    "week_timeline_df[\"Weekday\"]\n",
    "week_timeline_df[\"count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(week_timeline_df[\"Weekday\"], week_timeline_df[\"count\"], facecolor='green', alpha=0.7)\n",
    "plt.scatter(week_timeline_df[\"Weekday\"], week_timeline_df[\"count\"], color='blue', marker='o')\n",
    "plt.plot(week_timeline_df[\"Weekday\"], week_timeline_df[\"count\"], color='blue')\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>month_num</th>\n",
       "      <th>only_date</th>\n",
       "      <th>Weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Group creator created this group\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎You were added\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
       "      <td>‪+91 70565 65602‬</td>\n",
       "      <td>‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                      user  \\\n",
       "0 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "1 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "2 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "3 2022-04-14 13:13:17         ‪+91 70565 65602‬   \n",
       "4 2022-04-14 12:51:06           Farhan Amit Sir   \n",
       "\n",
       "                                             message  year   month  day  hour  \\\n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  2019  August    7    14   \n",
       "1                ‎Group creator created this group\\n  2019  August    7    14   \n",
       "2                                  ‎You were added\\n  2019  August    7    14   \n",
       "3                         ‎‪+91 70565 65602‬ left\\n‎  2022   April   14    13   \n",
       "4                                   ‎image omitted\\n  2022   April   14    12   \n",
       "\n",
       "   minute  month_num   only_date    Weekday  \n",
       "0      44          8  2019-08-07  Wednesday  \n",
       "1      44          8  2019-08-07  Wednesday  \n",
       "2      44          8  2019-08-07  Wednesday  \n",
       "3      13          4  2022-04-14   Thursday  \n",
       "4      51          4  2022-04-14   Thursday  "
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "period = []\n",
    "for hour in df[['hour','Weekday']]['hour']:\n",
    "    if hour == 23:\n",
    "        period. append(str(hour) + \"-\" + str('00' ))\n",
    "    elif hour == 0:\n",
    "        period.append(str('00') + \"-\" + str(hour+1))\n",
    "    else:\n",
    "        period.append(str(hour) + \"-\" + str(hour+1))\n",
    "df['period']=period"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>date</th>\n",
       "      <th>user</th>\n",
       "      <th>message</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>minute</th>\n",
       "      <th>month_num</th>\n",
       "      <th>only_date</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>period</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Messages and calls are end-to-end encrypted. ...</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎Group creator created this group\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-07 14:44:43</td>\n",
       "      <td>Blogging Masters Program</td>\n",
       "      <td>‎You were added\\n</td>\n",
       "      <td>2019</td>\n",
       "      <td>August</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>2019-08-07</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>14-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-14 13:13:17</td>\n",
       "      <td>‪+91 70565 65602‬</td>\n",
       "      <td>‎‪+91 70565 65602‬ left\\n‎</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>13-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-14 12:51:06</td>\n",
       "      <td>Farhan Amit Sir</td>\n",
       "      <td>‎image omitted\\n</td>\n",
       "      <td>2022</td>\n",
       "      <td>April</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>4</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>12-13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 date                      user  \\\n",
       "0 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "1 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "2 2019-08-07 14:44:43  Blogging Masters Program   \n",
       "3 2022-04-14 13:13:17         ‪+91 70565 65602‬   \n",
       "4 2022-04-14 12:51:06           Farhan Amit Sir   \n",
       "\n",
       "                                             message  year   month  day  hour  \\\n",
       "0  ‎Messages and calls are end-to-end encrypted. ...  2019  August    7    14   \n",
       "1                ‎Group creator created this group\\n  2019  August    7    14   \n",
       "2                                  ‎You were added\\n  2019  August    7    14   \n",
       "3                         ‎‪+91 70565 65602‬ left\\n‎  2022   April   14    13   \n",
       "4                                   ‎image omitted\\n  2022   April   14    12   \n",
       "\n",
       "   minute  month_num   only_date    Weekday period  \n",
       "0      44          8  2019-08-07  Wednesday  14-15  \n",
       "1      44          8  2019-08-07  Wednesday  14-15  \n",
       "2      44          8  2019-08-07  Wednesday  14-15  \n",
       "3      13          4  2022-04-14   Thursday  13-14  \n",
       "4      51          4  2022-04-14   Thursday  12-13  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- added period for better understanding of duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>hour</th>\n",
       "      <th>period</th>\n",
       "      <th>message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>00-1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1-2</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2-3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3-4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4-5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>5-6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>7-8</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>8-9</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>9-10</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>10-11</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>11-12</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>12-13</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>13-14</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>14-15</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>15-16</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>16-17</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>17-18</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>18-19</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>19-20</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>20-21</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>21-22</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>22-23</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>23-00</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    hour period  message\n",
       "0      0   00-1       30\n",
       "1      1    1-2        9\n",
       "2      2    2-3        7\n",
       "3      3    3-4        3\n",
       "4      4    4-5        3\n",
       "5      5    5-6        2\n",
       "6      6    6-7        8\n",
       "7      7    7-8       16\n",
       "8      8    8-9       41\n",
       "9      9   9-10       64\n",
       "10    10  10-11       81\n",
       "11    11  11-12      117\n",
       "12    12  12-13      119\n",
       "13    13  13-14       71\n",
       "14    14  14-15       86\n",
       "15    15  15-16       82\n",
       "16    16  16-17       78\n",
       "17    17  17-18       78\n",
       "18    18  18-19       47\n",
       "19    19  19-20       68\n",
       "20    20  20-21      124\n",
       "21    21  21-22       81\n",
       "22    22  22-23       67\n",
       "23    23  23-00       42"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_timeline_df = df.groupby(['hour','period']).count()[\"message\"].reset_index()\n",
    "hour_timeline_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(hour_timeline_df[\"hour\"], hour_timeline_df[\"message\"], facecolor='green', alpha=0.7)\n",
    "plt.scatter(hour_timeline_df[\"hour\"], hour_timeline_df[\"message\"], color='blue', marker='o')\n",
    "plt.plot(hour_timeline_df[\"hour\"], hour_timeline_df[\"message\"], color='blue')\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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>period</th>\n",
       "      <th>00-1</th>\n",
       "      <th>1-2</th>\n",
       "      <th>10-11</th>\n",
       "      <th>11-12</th>\n",
       "      <th>12-13</th>\n",
       "      <th>13-14</th>\n",
       "      <th>14-15</th>\n",
       "      <th>15-16</th>\n",
       "      <th>16-17</th>\n",
       "      <th>17-18</th>\n",
       "      <th>...</th>\n",
       "      <th>21-22</th>\n",
       "      <th>22-23</th>\n",
       "      <th>23-00</th>\n",
       "      <th>3-4</th>\n",
       "      <th>4-5</th>\n",
       "      <th>5-6</th>\n",
       "      <th>6-7</th>\n",
       "      <th>7-8</th>\n",
       "      <th>8-9</th>\n",
       "      <th>9-10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weekday</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Friday</th>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monday</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saturday</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunday</th>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thursday</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuesday</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wednesday</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "period     00-1  1-2  10-11  11-12  12-13  13-14  14-15  15-16  16-17  17-18  \\\n",
       "Weekday                                                                        \n",
       "Friday      4.0  NaN    8.0   19.0   27.0   11.0    3.0    2.0   10.0    1.0   \n",
       "Monday      1.0  2.0   18.0   10.0   34.0   11.0    8.0    7.0   16.0   17.0   \n",
       "Saturday    NaN  2.0    9.0   22.0    6.0    9.0   25.0   13.0   21.0   11.0   \n",
       "Sunday     18.0  NaN   10.0   10.0    6.0   11.0   27.0   37.0    8.0   21.0   \n",
       "Thursday    4.0  2.0   12.0   23.0   19.0   15.0    NaN    6.0   11.0   11.0   \n",
       "Tuesday     1.0  2.0   12.0   21.0    7.0    1.0   14.0    4.0    6.0   10.0   \n",
       "Wednesday   2.0  1.0   12.0   12.0   20.0   13.0    9.0   13.0    6.0    7.0   \n",
       "\n",
       "period     ...  21-22  22-23  23-00  3-4  4-5  5-6  6-7  7-8   8-9  9-10  \n",
       "Weekday    ...                                                            \n",
       "Friday     ...    7.0    9.0    6.0  1.0  NaN  NaN  NaN  1.0   3.0   7.0  \n",
       "Monday     ...   14.0    5.0    9.0  2.0  NaN  NaN  1.0  4.0   9.0   6.0  \n",
       "Saturday   ...    5.0    9.0    4.0  NaN  NaN  NaN  NaN  2.0   5.0  16.0  \n",
       "Sunday     ...    8.0   21.0    6.0  NaN  3.0  2.0  1.0  1.0   1.0  10.0  \n",
       "Thursday   ...   25.0    9.0    8.0  NaN  NaN  NaN  2.0  2.0   5.0  12.0  \n",
       "Tuesday    ...   11.0    8.0    3.0  NaN  NaN  NaN  2.0  5.0  14.0   7.0  \n",
       "Wednesday  ...   11.0    6.0    6.0  NaN  NaN  NaN  2.0  1.0   4.0   6.0  \n",
       "\n",
       "[7 rows x 24 columns]"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "heatmap_df = df.pivot_table(index='Weekday', columns='period', values='message', aggfunc='count')\n",
    "heatmap_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "light_palette = sns.color_palette(\"light:b\")\n",
    "sns.heatmap(heatmap_df, cmap=light_palette)\n",
    "plt.yticks(rotation='horizontal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Individual level information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_most_active_weekday = df[df[\"user\"]=='Nilay 2nd Floor'].groupby('Weekday').count()[\"message\"].sort_values(ascending=False).reset_index()[\"Weekday\"][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "active_users = df[\"user\"].value_counts()[df[\"user\"].value_counts()>10].reset_index()\n",
    "active_users[active_users.user=='Aayush'].index[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test Area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Nilay 2nd Floor', 'Ashish Yadav Amity', 'Aayush', 'Ritesh Amity']"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"user\"].value_counts()[df[\"user\"].value_counts()>10].reset_index()['user'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "users_list = df[\"user\"].value_counts()[df[\"user\"].value_counts()>10].reset_index()['user'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "‎image\n"
     ]
    }
   ],
   "source": [
    "media_msg = df[df[\"message\"].str.contains('omitted')][\"message\"].to_list()\n",
    "media_type = []\n",
    "for i in media_msg:\n",
    "    new = re.sub('^a-zA-Z','', i)\n",
    "    new = new.split()[0]\n",
    "    media_type.append(new)\n",
    "top_media_df =  pd.DataFrame(media_type,columns=['Media']).value_counts().reset_index().head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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        "title": {
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       }
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     },
     "metadata": {},
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   ],
   "source": [
    "fig = px.pie(top_media_df, names='Media', values='count', title='Media Type Distribution')\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
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