Group Links.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import the dataset\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "matplotlib.style.use('ggplot')\n",
    "\n",
    "dr = pd.read_csv(\"DataCollectionSpreadsheetGroupLinks.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 6)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " dr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>Tweet</th>\n",
       "      <th>Link</th>\n",
       "      <th>Group Name</th>\n",
       "      <th>Username</th>\n",
       "      <th>Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>May 20</td>\n",
       "      <td>NEW BLOGPOST We are hearing a lot about the ch...</td>\n",
       "      <td>https://blog.rmceducation.com/2020/05/20/what-...</td>\n",
       "      <td>Ros McMullen</td>\n",
       "      <td>@RosMcM</td>\n",
       "      <td>Real</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>April 24</td>\n",
       "      <td>Our friends at @sheknows asked teenagers to sh...</td>\n",
       "      <td>https://bit.ly/BHPJoinNow</td>\n",
       "      <td>BlogHer</td>\n",
       "      <td>@BlogHer</td>\n",
       "      <td>Real</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>May 2</td>\n",
       "      <td>Well done, Tina and Jasmine! Love seeing stude...</td>\n",
       "      <td>dlvr.it/RVvH2M</td>\n",
       "      <td>Kasha Duff</td>\n",
       "      <td>@KashaDuff</td>\n",
       "      <td>Real</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mar 25</td>\n",
       "      <td>a “#coronavirus #babyboom” that will see a gen...</td>\n",
       "      <td>https://www.vice.com/en_in/article/dygj5a/sex-...</td>\n",
       "      <td>BeTheChange</td>\n",
       "      <td>@thechance2b</td>\n",
       "      <td>Real</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jun 11</td>\n",
       "      <td>Lets together make caring and carers visible S...</td>\n",
       "      <td>https://barnardos.org.uk/what-we-do/services/c...</td>\n",
       "      <td>Leicester Young People's Council</td>\n",
       "      <td>@LeicesterYpc</td>\n",
       "      <td>Real</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Date                                              Tweet  \\\n",
       "0    May 20  NEW BLOGPOST We are hearing a lot about the ch...   \n",
       "1  April 24  Our friends at @sheknows asked teenagers to sh...   \n",
       "2     May 2  Well done, Tina and Jasmine! Love seeing stude...   \n",
       "3    Mar 25  a “#coronavirus #babyboom” that will see a gen...   \n",
       "4    Jun 11  Lets together make caring and carers visible S...   \n",
       "\n",
       "                                                Link  \\\n",
       "0  https://blog.rmceducation.com/2020/05/20/what-...   \n",
       "1                          https://bit.ly/BHPJoinNow   \n",
       "2                                     dlvr.it/RVvH2M   \n",
       "3  https://www.vice.com/en_in/article/dygj5a/sex-...   \n",
       "4  https://barnardos.org.uk/what-we-do/services/c...   \n",
       "\n",
       "                         Group Name       Username Label  \n",
       "0                      Ros McMullen        @RosMcM  Real  \n",
       "1                           BlogHer       @BlogHer  Real  \n",
       "2                        Kasha Duff     @KashaDuff  Real  \n",
       "3                       BeTheChange   @thechance2b  Real  \n",
       "4  Leicester Young People's Council  @LeicesterYpc  Real  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print first lines of `df` \n",
    "dr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Tweet</th>\n",
       "      <th>Link</th>\n",
       "      <th>Group Name</th>\n",
       "      <th>Username</th>\n",
       "      <th>Label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>·</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Date Tweet Link Group Name Username Label\n",
       "34  NaN   NaN  NaN        NaN      NaN   NaN\n",
       "35  NaN   NaN  NaN        NaN      NaN   NaN\n",
       "36  NaN   NaN  NaN        NaN      NaN   NaN\n",
       "37  NaN   NaN  NaN        NaN      NaN   NaN\n",
       "38  NaN     ·  NaN        NaN      NaN   NaN"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dr.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Label Label\n",
      "Fake        1\n",
      "Real       32\n",
      "Unknown     1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"Label\", dr.groupby([\"Label\"]).size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f80bc05cb50>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dr.groupby(['Label']).size().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[         Date                                              Tweet  \\\n",
       " 23      May 2  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 33  7/20/2020  I can't imagine how I could have survived the ...   \n",
       " 30     Jul 25  How kids and teens are coping with screen time...   \n",
       " 24      May 2  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 10    July 14  We would love to hear from more teen boys in o...   \n",
       " 37        NaN                                                NaN   \n",
       " 38        NaN                                                  ·   \n",
       " 19     May 11                                           #COVID19   \n",
       " 16  5/11/2020                              #coronavirus #COVID19   \n",
       " 26      May 2  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 7      May 26  We're raising money for Teens Taking On The Cu...   \n",
       " 20      May 2                                                NaN   \n",
       " 31     Jul 24  We love finding stories of #teens getting crea...   \n",
       " 15  5/12/2020                                 #COVIDー19 #COVID19   \n",
       " 35        NaN                                                NaN   \n",
       " 25      May 2  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 29   April 23  Why children are not immune to Covid-19 - BBC ...   \n",
       " 11     Mar 14  How to talk to your kiddos about COVID19 with ...   \n",
       " 0      May 20  NEW BLOGPOST We are hearing a lot about the ch...   \n",
       " 12   7/9/2020  We are looking for Canadian teens age 12-18 to...   \n",
       " 22      May 2  covid19andunder.wordpress.com/2020/04/30/doug-...   \n",
       " 13     May 23  One reason why coronavirus hits black people t...   \n",
       " 36        NaN                                                NaN   \n",
       " 28   April 23  Coronavirus (COVID-19) (for Parents) - Nemours...   \n",
       " 1    April 24  Our friends at @sheknows asked teenagers to sh...   \n",
       " 8     July 24  It is #InternationalSelfCareDay but normative ...   \n",
       " 32     Jul 20  In 2020, there has been 158 children and 511 t...   \n",
       " 18  5/11/2020                              #COVID19 #coronavirus   \n",
       " 14  5/12/2020                                 #COVIDー19 #COVID19   \n",
       " \n",
       "                                                  Link  \\\n",
       " 23  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 33                              http://bit.ly/2WCYk3P   \n",
       " 30  https://www.miamiherald.com/living/health-fitn...   \n",
       " 24  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 10            https://www.teensathomeduringcovid.com/   \n",
       " 37                                                NaN   \n",
       " 38                                                NaN   \n",
       " 19  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 16  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 26  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 7   https://www.gofundme.com/f/usy8p-covid19-relie...   \n",
       " 20  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 31                           http://ow.ly/hYFc50AFwwE   \n",
       " 15  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 35                                                NaN   \n",
       " 25  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 29  https://www.bbc.com/future/article/20200330-co...   \n",
       " 11  https://theconversation.com/how-to-talk-to-you...   \n",
       " 0   https://blog.rmceducation.com/2020/05/20/what-...   \n",
       " 12                  http://teensathomeduringcovid.com   \n",
       " 22  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 13  https://www.youtube.com/watch?v=XAFD-0aMkwE&fe...   \n",
       " 36                                                NaN   \n",
       " 28  https://kidshealth.org/en/parents/coronavirus....   \n",
       " 1                           https://bit.ly/BHPJoinNow   \n",
       " 8   https://www.tandfonline.com/doi/full/10.1080/0...   \n",
       " 32  https://www.instagram.com/p/CC4uVu0JgON/?igshi...   \n",
       " 18  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 14  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " \n",
       "                             Group Name          Username    Label  \n",
       " 23                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 33                        TEENERGIZER!      @teenergizer  Unknown  \n",
       " 30                  Michelle Marchante   @TweetMichelleM     Real  \n",
       " 24                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 10                     Stephanie Craig     @DrStephCraig     Real  \n",
       " 37                                 NaN               NaN      NaN  \n",
       " 38                                 NaN               NaN      NaN  \n",
       " 19                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 16                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 26                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 7   COVID-19 Awareness Teen Task Force       @covid19atf     Real  \n",
       " 20                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 31                    Teen SMART Goals   @teensmartgoals     Real  \n",
       " 15                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 35                                 NaN               NaN      NaN  \n",
       " 25                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 29                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 11                       Nicole Racine         @racinen2     Real  \n",
       " 0                         Ros McMullen           @RosMcM     Real  \n",
       " 12                     Stephanie Craig     @DrStephCraig     Real  \n",
       " 22                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 13                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 36                                 NaN               NaN      NaN  \n",
       " 28                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 1                              BlogHer          @BlogHer     Real  \n",
       " 8                      Nazilla Khanlou   @NazillaKhanlou     Real  \n",
       " 32               Quarantine in America   @flavorsamerica     Fake  \n",
       " 18                  COVID-19 and Under  @covid19andunder     Real  \n",
       " 14                  COVID-19 and Under  @covid19andunder     Real  ,\n",
       "          Date                                              Tweet  \\\n",
       " 5   6/16/2020  Teen doctor and relationship expert @parenttee...   \n",
       " 34        NaN                                                NaN   \n",
       " 4      Jun 11  Lets together make caring and carers visible S...   \n",
       " 17     May 11                              #COVID19 #coronavirus   \n",
       " 2       May 2  Well done, Tina and Jasmine! Love seeing stude...   \n",
       " 3      Mar 25  a “#coronavirus #babyboom” that will see a gen...   \n",
       " 6      Jun 24  I know my #anxiety level is quite high at the ...   \n",
       " 21      May 2                                                NaN   \n",
       " 9     July 22  Today we submitted our updated knowledge synth...   \n",
       " 27   April 25  https://abcnews.go.com/GMA/Family/children-cor...   \n",
       " \n",
       "                                                  Link  \\\n",
       " 5   https://www.sheknows.com/parenting/articles/22...   \n",
       " 34                                                NaN   \n",
       " 4   https://barnardos.org.uk/what-we-do/services/c...   \n",
       " 17  https://covid19andunder.wordpress.com/2020/05/...   \n",
       " 2                                      dlvr.it/RVvH2M   \n",
       " 3   https://www.vice.com/en_in/article/dygj5a/sex-...   \n",
       " 6   http://www.wordsalive.org/mindfulness?fbclid=I...   \n",
       " 21  https://covid19andunder.wordpress.com/2020/04/...   \n",
       " 9   https://covid19mentalhealthresearch.ca/synthes...   \n",
       " 27  https://abcnews.go.com/GMA/Family/children-cor...   \n",
       " \n",
       "                           Group Name          Username Label  \n",
       " 5                           SheKnows         @SheKnows  Real  \n",
       " 34                               NaN               NaN   NaN  \n",
       " 4   Leicester Young People's Council     @LeicesterYpc  Real  \n",
       " 17                COVID-19 and Under  @covid19andunder  Real  \n",
       " 2                         Kasha Duff        @KashaDuff  Real  \n",
       " 3                        BeTheChange      @thechance2b  Real  \n",
       " 6                           E McCann       @Ms_EMcCann  Real  \n",
       " 21                COVID-19 and Under  @covid19andunder  Real  \n",
       " 9                    Nazilla Khanlou   @NazillaKhanlou  Real  \n",
       " 27                COVID-19 and Under  @covid19andunder  Real  ]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_test_split(dr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Username Username\n",
      "@BlogHer             1\n",
      "@DrStephCraig        2\n",
      "@KashaDuff           1\n",
      "@LeicesterYpc        1\n",
      "@Ms_EMcCann          1\n",
      "@NazillaKhanlou      2\n",
      "@RosMcM              1\n",
      "@SheKnows            1\n",
      "@TweetMichelleM      1\n",
      "@covid19andunder    17\n",
      "@covid19atf          1\n",
      "@flavorsamerica      1\n",
      "@racinen2            1\n",
      "@teenergizer         1\n",
      "@teensmartgoals      1\n",
      "@thechance2b         1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"Username\", dr.groupby([\"Username\"]).size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f80bc206f50>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dr.groupby(['Username']).size().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date Date\n",
      "5/11/2020    2\n",
      "5/12/2020    2\n",
      "6/16/2020    1\n",
      "7/20/2020    1\n",
      "7/9/2020     1\n",
      "April 23     2\n",
      "April 24     1\n",
      "April 25     1\n",
      "Jul 20       1\n",
      "Jul 24       1\n",
      "Jul 25       1\n",
      "July 14      1\n",
      "July 22      1\n",
      "July 24      1\n",
      "Jun 11       1\n",
      "Jun 24       1\n",
      "Mar 14       1\n",
      "Mar 25       1\n",
      "May 11       2\n",
      "May 2        8\n",
      "May 20       1\n",
      "May 23       1\n",
      "May 26       1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"Date\", dr.groupby([\"Date\"]).size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f80bc3ace10>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dr.groupby(['Date']).size().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}