data_collection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Collection:\n",
    "This notebook covers the initial data collection using [google play scraper](https://pypi.org/project/google-play-scraper/) and preliminary data cleaning.\n",
    "\n",
    "The output are two files: \n",
    "1. app_info_date - high level app information including: \n",
    "    * title\t\n",
    "    * description\t\n",
    "    * descriptionHTML\t\n",
    "    * summary\t\n",
    "    * summaryHTML\t\n",
    "    * installs\t\n",
    "    * minInstalls\t\n",
    "    * score\t\n",
    "    * ratings\t\n",
    "    * reviews\t\n",
    "    * contentRatingDescription\t\n",
    "    * adSupported\t\n",
    "    * containsAds\t\n",
    "    * released\t\n",
    "    * updated\t\n",
    "    * version\t\n",
    "    * recentChanges\t\n",
    "    * recentChangesHTML\t\n",
    "    * appId\t\n",
    "    * url\n",
    "    \n",
    "    \n",
    "* app_reviews_clean The main file used in this project:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Obtain:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inspired by: https://www.curiousily.com/posts/create-dataset-for-sentiment-analysis-by-scraping-google-play-app-reviews-using-python/ SEVERAL copies of this same project exist in various formats by various authors.\n",
    "\n",
    "going to App Annie and looking at top grossing wellness apps:\n",
    "https://www.appannie.com/apps/google-play/top-chart/?country=US&category=19&device=&date=2020-04-05&feed=All&rank_sorting_type=rank&page_number=0&page_size=100&table_selections="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:52:51.239036Z",
     "start_time": "2020-08-12T17:52:51.235032Z"
    }
   },
   "outputs": [],
   "source": [
    "#!pip install google_play_scraper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:52:56.684873Z",
     "start_time": "2020-08-12T17:52:54.296922Z"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from pygments import highlight\n",
    "from pygments.lexers import JsonLexer\n",
    "from pygments.formatters import TerminalFormatter\n",
    "from google_play_scraper import Sort, reviews, app\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "sns.set(style='whitegrid', palette='muted', font_scale=1.2)\n",
    "plt.style.use('seaborn-notebook')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 5 Wellness Apps:\n",
    "\n",
    "According to [appannie](https://www.appannie.com/apps/google-play/top-chart/?country=US&category=19&device=&date=2020-04-05&feed=All&rank_sorting_type=rank&page_number=0&page_size=100&table_selections=), the top five grossing wellness apps on July 1 for the google play store in order:\n",
    "\n",
    "1. Calm\n",
    "* MyFitnessPal\n",
    "* Headspace\n",
    "* Me\n",
    "* Fitbit\n",
    "\n",
    "Data on each package was obtained using [google play scraper](https://pypi.org/project/google-play-scraper/). Overviews of each app can be observed below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:01.225277Z",
     "start_time": "2020-08-12T17:53:01.218772Z"
    }
   },
   "outputs": [],
   "source": [
    "#creating a list of top apps based on their google play app id\n",
    "\n",
    "app_packages = [\n",
    "    'com.calm.android',\n",
    "    'com.myfitnesspal.android',\n",
    "    'com.getsomeheadspace.android', \n",
    "    'com.gen.workoutme',\n",
    "    'com.fitbit.FitbitMobile'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:08.452991Z",
     "start_time": "2020-08-12T17:53:03.367214Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5/5 [00:05<00:00,  1.01s/it]\n"
     ]
    }
   ],
   "source": [
    "#obtaining information on each app and descriptive history using google_play_scraper api\n",
    "app_infos = []\n",
    "\n",
    "for ap in tqdm(app_packages):\n",
    "    info = app(ap, lang='en', country='us')\n",
    "    del info['comments']\n",
    "    app_infos.append(info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:10.630567Z",
     "start_time": "2020-08-12T17:53:10.614654Z"
    }
   },
   "outputs": [],
   "source": [
    "app_infos_df = pd.DataFrame.from_records(app_infos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:29.636618Z",
     "start_time": "2020-08-12T17:53:29.618612Z"
    }
   },
   "outputs": [],
   "source": [
    "#app_infos_df.to_csv('app_infos_081220')\n",
    "#saved file since every download grabs different data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  App Descriptions and Summaries below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:32.038597Z",
     "start_time": "2020-08-12T17:53:31.992616Z"
    }
   },
   "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>title</th>\n",
       "      <th>description</th>\n",
       "      <th>descriptionHTML</th>\n",
       "      <th>summary</th>\n",
       "      <th>summaryHTML</th>\n",
       "      <th>installs</th>\n",
       "      <th>minInstalls</th>\n",
       "      <th>score</th>\n",
       "      <th>ratings</th>\n",
       "      <th>reviews</th>\n",
       "      <th>...</th>\n",
       "      <th>contentRatingDescription</th>\n",
       "      <th>adSupported</th>\n",
       "      <th>containsAds</th>\n",
       "      <th>released</th>\n",
       "      <th>updated</th>\n",
       "      <th>version</th>\n",
       "      <th>recentChanges</th>\n",
       "      <th>recentChangesHTML</th>\n",
       "      <th>appId</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Calm - Meditate, Sleep, Relax</td>\n",
       "      <td>Calm is a leading app for meditation and sleep...</td>\n",
       "      <td>Calm is a leading app for meditation and sleep...</td>\n",
       "      <td>Join the millions discovering the life-changin...</td>\n",
       "      <td>Join the millions discovering the life-changin...</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>10000000</td>\n",
       "      <td>4.394932</td>\n",
       "      <td>281076</td>\n",
       "      <td>93004</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Jul 30, 2014</td>\n",
       "      <td>1596870029</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>As always, you can expect an original Daily Ca...</td>\n",
       "      <td>As always, you can expect an original Daily Ca...</td>\n",
       "      <td>com.calm.android</td>\n",
       "      <td>https://play.google.com/store/apps/details?id=...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Calorie Counter - MyFitnessPal</td>\n",
       "      <td>Whether you want to lose weight, tone up, get ...</td>\n",
       "      <td>Whether you want to lose weight, tone up, get ...</td>\n",
       "      <td>Lose weight with MyFitnessPal, the easiest cal...</td>\n",
       "      <td>Lose weight with MyFitnessPal, the easiest cal...</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>50000000</td>\n",
       "      <td>4.449819</td>\n",
       "      <td>2321108</td>\n",
       "      <td>812280</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>Apr 26, 2010</td>\n",
       "      <td>1596756924</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Whether you want to log your lowest weight in ...</td>\n",
       "      <td>Whether you want to log your lowest weight in ...</td>\n",
       "      <td>com.myfitnesspal.android</td>\n",
       "      <td>https://play.google.com/store/apps/details?id=...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Headspace: Meditation &amp; Sleep</td>\n",
       "      <td>Stress less. Sleep soundly. Get happy. Learn t...</td>\n",
       "      <td>Stress less. Sleep soundly. Get happy. Learn t...</td>\n",
       "      <td>Meditation and mindfulness in just a few minut...</td>\n",
       "      <td>Meditation and mindfulness in just a few minut...</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>10000000</td>\n",
       "      <td>3.563259</td>\n",
       "      <td>135196</td>\n",
       "      <td>54887</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Jan 6, 2012</td>\n",
       "      <td>1596756307</td>\n",
       "      <td>4.6.1</td>\n",
       "      <td>The latest release features a fresh all-new lo...</td>\n",
       "      <td>The latest release features a fresh all-new lo...</td>\n",
       "      <td>com.getsomeheadspace.android</td>\n",
       "      <td>https://play.google.com/store/apps/details?id=...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>BetterMe: Home Workouts &amp; Diet</td>\n",
       "      <td>BetterMe: Home Workouts &amp; Diet To Lose Weight ...</td>\n",
       "      <td>BetterMe: Home Workouts &amp;amp; Diet To Lose Wei...</td>\n",
       "      <td>Weight Loss Workout: Abs, Butt, Legs and Whole...</td>\n",
       "      <td>Weight Loss Workout: Abs, Butt, Legs and Whole...</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>10000000</td>\n",
       "      <td>3.861575</td>\n",
       "      <td>83464</td>\n",
       "      <td>32418</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Jul 27, 2017</td>\n",
       "      <td>1597153156</td>\n",
       "      <td>3.9.2</td>\n",
       "      <td>Bug fixes and performance improvements.</td>\n",
       "      <td>Bug fixes and performance improvements.</td>\n",
       "      <td>com.gen.workoutme</td>\n",
       "      <td>https://play.google.com/store/apps/details?id=...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Fitbit</td>\n",
       "      <td>Start a free 90-day trial of Fitbit Premium fo...</td>\n",
       "      <td>Start a free 90-day trial of Fitbit Premium fo...</td>\n",
       "      <td>Fitbit is dedicated to helping people lead hea...</td>\n",
       "      <td>Fitbit is dedicated to helping people lead hea...</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>50000000</td>\n",
       "      <td>3.809381</td>\n",
       "      <td>683244</td>\n",
       "      <td>312628</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Mar 16, 2012</td>\n",
       "      <td>1596471804</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>*Bug fixes and performance improvements</td>\n",
       "      <td>*Bug fixes and performance improvements</td>\n",
       "      <td>com.fitbit.FitbitMobile</td>\n",
       "      <td>https://play.google.com/store/apps/details?id=...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            title  \\\n",
       "0   Calm - Meditate, Sleep, Relax   \n",
       "1  Calorie Counter - MyFitnessPal   \n",
       "2   Headspace: Meditation & Sleep   \n",
       "3  BetterMe: Home Workouts & Diet   \n",
       "4                          Fitbit   \n",
       "\n",
       "                                         description  \\\n",
       "0  Calm is a leading app for meditation and sleep...   \n",
       "1  Whether you want to lose weight, tone up, get ...   \n",
       "2  Stress less. Sleep soundly. Get happy. Learn t...   \n",
       "3  BetterMe: Home Workouts & Diet To Lose Weight ...   \n",
       "4  Start a free 90-day trial of Fitbit Premium fo...   \n",
       "\n",
       "                                     descriptionHTML  \\\n",
       "0  Calm is a leading app for meditation and sleep...   \n",
       "1  Whether you want to lose weight, tone up, get ...   \n",
       "2  Stress less. Sleep soundly. Get happy. Learn t...   \n",
       "3  BetterMe: Home Workouts &amp; Diet To Lose Wei...   \n",
       "4  Start a free 90-day trial of Fitbit Premium fo...   \n",
       "\n",
       "                                             summary  \\\n",
       "0  Join the millions discovering the life-changin...   \n",
       "1  Lose weight with MyFitnessPal, the easiest cal...   \n",
       "2  Meditation and mindfulness in just a few minut...   \n",
       "3  Weight Loss Workout: Abs, Butt, Legs and Whole...   \n",
       "4  Fitbit is dedicated to helping people lead hea...   \n",
       "\n",
       "                                         summaryHTML     installs  \\\n",
       "0  Join the millions discovering the life-changin...  10,000,000+   \n",
       "1  Lose weight with MyFitnessPal, the easiest cal...  50,000,000+   \n",
       "2  Meditation and mindfulness in just a few minut...  10,000,000+   \n",
       "3  Weight Loss Workout: Abs, Butt, Legs and Whole...  10,000,000+   \n",
       "4  Fitbit is dedicated to helping people lead hea...  50,000,000+   \n",
       "\n",
       "   minInstalls     score  ratings  reviews  ... contentRatingDescription  \\\n",
       "0     10000000  4.394932   281076    93004  ...                     None   \n",
       "1     50000000  4.449819  2321108   812280  ...                     None   \n",
       "2     10000000  3.563259   135196    54887  ...                     None   \n",
       "3     10000000  3.861575    83464    32418  ...                     None   \n",
       "4     50000000  3.809381   683244   312628  ...                     None   \n",
       "\n",
       "   adSupported  containsAds      released     updated             version  \\\n",
       "0         None         None  Jul 30, 2014  1596870029  Varies with device   \n",
       "1         True         True  Apr 26, 2010  1596756924  Varies with device   \n",
       "2         None         None   Jan 6, 2012  1596756307               4.6.1   \n",
       "3         None         None  Jul 27, 2017  1597153156               3.9.2   \n",
       "4         None         None  Mar 16, 2012  1596471804  Varies with device   \n",
       "\n",
       "                                       recentChanges  \\\n",
       "0  As always, you can expect an original Daily Ca...   \n",
       "1  Whether you want to log your lowest weight in ...   \n",
       "2  The latest release features a fresh all-new lo...   \n",
       "3            Bug fixes and performance improvements.   \n",
       "4            *Bug fixes and performance improvements   \n",
       "\n",
       "                                   recentChangesHTML  \\\n",
       "0  As always, you can expect an original Daily Ca...   \n",
       "1  Whether you want to log your lowest weight in ...   \n",
       "2  The latest release features a fresh all-new lo...   \n",
       "3            Bug fixes and performance improvements.   \n",
       "4            *Bug fixes and performance improvements   \n",
       "\n",
       "                          appId  \\\n",
       "0              com.calm.android   \n",
       "1      com.myfitnesspal.android   \n",
       "2  com.getsomeheadspace.android   \n",
       "3             com.gen.workoutme   \n",
       "4       com.fitbit.FitbitMobile   \n",
       "\n",
       "                                                 url  \n",
       "0  https://play.google.com/store/apps/details?id=...  \n",
       "1  https://play.google.com/store/apps/details?id=...  \n",
       "2  https://play.google.com/store/apps/details?id=...  \n",
       "3  https://play.google.com/store/apps/details?id=...  \n",
       "4  https://play.google.com/store/apps/details?id=...  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app_infos_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A helper function from the inspiration project to read .json files: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:41.643662Z",
     "start_time": "2020-08-12T17:53:41.636208Z"
    }
   },
   "outputs": [],
   "source": [
    "def print_json(json_object):\n",
    "    json_str = json.dumps(\n",
    "        json_object,\n",
    "        indent=2,\n",
    "        sort_keys=True,\n",
    "        default=str)\n",
    "    #cool feature to help highlight specificied string\n",
    "    print(highlight(json_str, JsonLexer(), TerminalFormatter()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:53:44.148059Z",
     "start_time": "2020-08-12T17:53:43.914539Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"adSupported\": null,\n",
      "  \"androidVersion\": \"Varies\",\n",
      "  \"androidVersionText\": \"Varies with device\",\n",
      "  \"appId\": \"com.fitbit.FitbitMobile\",\n",
      "  \"containsAds\": null,\n",
      "  \"contentRating\": \"Everyone\",\n",
      "  \"contentRatingDescription\": null,\n",
      "  \"currency\": \"USD\",\n",
      "  \"description\": \"Start a free 90-day trial of Fitbit Premium for personalized guidance, customized health programs and 240+ video workouts you can do at home. \\r\\n\\r\\nSay hello to one of the world\\u2019s leading apps for health and fitness. Use the Fitbit app on it\\u2019s own to join our community, track basic stats and stay motivated on your journey. Or, get a Fitbit tracker or smartwatch to see how your activity, workouts, sleep, nutrition and stress all fit together. Either way, you\\u2019ll find the information and inspiration you need to reach your goals\\u2014all in one place. \\r\\n\\r\\nA free app that tracks your day & progress over time\\r\\nFind free workouts, nutrition programs, meditation tracks, sleep tools & more \\r\\nConnect with friends, start challenges & join an inspiring community\\r\\nSet goals, earn achievement badges & celebrate milestones\\r\\nAutomatically sync your data to 3,000+ popular partner apps\\r\\nAccess innovative smartwatch apps & fresh clock faces \\r\\nWorks with all Fitbit trackers, smartwatches, scales & other Fitbit products\\r\\n \\r\\nGET ACTIVE: See how small moves add up by using your smartphone to track steps and distance. Or pair with a Fitbit tracker or smartwatch to see all-day stats like steps, distance, calories burned, floors climbed and active minutes. \\r\\n\\r\\nWORK OUT FROM HOME: Access free video and audio workouts that you can do on your time, right from your living room. You\\u2019ll find sessions for HIIT, cardio, strength, yoga and more. Plus, start a 90-day free trial of Fitbit Premium to unlock 240+ workouts from popular brands like barre3, Daily Burn, POPSUGAR and Yoga Studio: Mind & Body.\\r\\n\\r\\nSLEEP BETTER: Discover how long and how well you\\u2019re sleeping, then improve your nightly routine with Fitbit\\u2019s innovative sleep tools\\u2014including a nightly Sleep Score, sleep goal setting, bedtime reminders and graphs that show your time in light, deep and REM sleep.\\r\\n\\r\\nMANAGE STRESS: Listen to free audio tracks to lessen your stress and improve your mood. Use mindfulness to start your day a better way, find moments of calm and set intentions with meditation or get help falling asleep with stories and relaxing sounds.  \\r\\n\\r\\nEAT SMARTER: Keep your nutrition in check with easy-to-use tools to set goals, log food and water, track calories in and out and see if you\\u2019re getting enough protein, fat and carbs. For more personalized programs to help you reach weight and nutrition goals, try Fitbit Premium.\\r\\n\\r\\nTRACK HEART RATE: Understand your overall health by using your watch or tracker to record your heart rate 24/7. In the app, find valuable data like resting heart rate trends, time spent in heart rate zones during workouts and a cardio fitness score.\\r\\n\\r\\nJOIN A COMMUNITY: Find the support and encouragement you need to get inspired, stay accountable and keep things fun. The Fitbit app makes it easy to connect with friends, start activity challenges, read educational articles, get expert advice and share your journey with an uplifting community. \\r\\n\\r\\n\\r\\nFitbit Premium:\\r\\n- Monthly and annual plans available that unlock habit-forming programs, audio & video workouts, and advanced insights.\\r\\n- Payment will be charged to your Google Play Account after your free trial expires, if applicable.\\r\\n- Subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period.\\r\\n- Account will be charged for renewal within 24 hours prior to the end of the current period, and identify the cost of the renewal.\\r\\n- Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user's Account Settings after purchase.\\r\\n- Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable.\\r\\n\\u2013 Fitbit Terms of Service: https://www.fitbit.com/legal/terms-of-service\\r\\n\\u2013 Fitbit Privacy Policy: https://www.fitbit.com/legal/privacy-policy\\r\\n\\r\\nLearn more about Fitbit products and services at www.fitbit.com.\",\n",
      "  \"descriptionHTML\": \"Start a free 90-day trial of Fitbit Premium for personalized guidance, customized health programs and 240+ video workouts you can do at home. <br><br>Say hello to one of the world\\u2019s leading apps for health and fitness. Use the Fitbit app on it\\u2019s own to join our community, track basic stats and stay motivated on your journey. Or, get a Fitbit tracker or smartwatch to see how your activity, workouts, sleep, nutrition and stress all fit together. Either way, you\\u2019ll find the information and inspiration you need to reach your goals\\u2014all in one place. <br><br>A free app that tracks your day &amp; progress over time<br>Find free workouts, nutrition programs, meditation tracks, sleep tools &amp; more <br>Connect with friends, start challenges &amp; join an inspiring community<br>Set goals, earn achievement badges &amp; celebrate milestones<br>Automatically sync your data to 3,000+ popular partner apps<br>Access innovative smartwatch apps &amp; fresh clock faces <br>Works with all Fitbit trackers, smartwatches, scales &amp; other Fitbit products<br> <br>GET ACTIVE: See how small moves add up by using your smartphone to track steps and distance. Or pair with a Fitbit tracker or smartwatch to see all-day stats like steps, distance, calories burned, floors climbed and active minutes. <br><br>WORK OUT FROM HOME: Access free video and audio workouts that you can do on your time, right from your living room. You\\u2019ll find sessions for HIIT, cardio, strength, yoga and more. Plus, start a 90-day free trial of Fitbit Premium to unlock 240+ workouts from popular brands like barre3, Daily Burn, POPSUGAR and Yoga Studio: Mind &amp; Body.<br><br>SLEEP BETTER: Discover how long and how well you\\u2019re sleeping, then improve your nightly routine with Fitbit\\u2019s innovative sleep tools\\u2014including a nightly Sleep Score, sleep goal setting, bedtime reminders and graphs that show your time in light, deep and REM sleep.<br><br>MANAGE STRESS: Listen to free audio tracks to lessen your stress and improve your mood. Use mindfulness to start your day a better way, find moments of calm and set intentions with meditation or get help falling asleep with stories and relaxing sounds.  <br><br>EAT SMARTER: Keep your nutrition in check with easy-to-use tools to set goals, log food and water, track calories in and out and see if you\\u2019re getting enough protein, fat and carbs. For more personalized programs to help you reach weight and nutrition goals, try Fitbit Premium.<br><br>TRACK HEART RATE: Understand your overall health by using your watch or tracker to record your heart rate 24/7. In the app, find valuable data like resting heart rate trends, time spent in heart rate zones during workouts and a cardio fitness score.<br><br>JOIN A COMMUNITY: Find the support and encouragement you need to get inspired, stay accountable and keep things fun. The Fitbit app makes it easy to connect with friends, start activity challenges, read educational articles, get expert advice and share your journey with an uplifting community. <br><br><br>Fitbit Premium:<br>- Monthly and annual plans available that unlock habit-forming programs, audio &amp; video workouts, and advanced insights.<br>- Payment will be charged to your Google Play Account after your free trial expires, if applicable.<br>- Subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period.<br>- Account will be charged for renewal within 24 hours prior to the end of the current period, and identify the cost of the renewal.<br>- Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user&#39;s Account Settings after purchase.<br>- Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable.<br>\\u2013 Fitbit Terms of Service: https://www.fitbit.com/legal/terms-of-service<br>\\u2013 Fitbit Privacy Policy: https://www.fitbit.com/legal/privacy-policy<br><br>Learn more about Fitbit products and services at www.fitbit.com.\",\n",
      "  \"developer\": \"Fitbit, Inc.\",\n",
      "  \"developerAddress\": \"199 Fremont, 14th Floor\\nSan Francisco, CA\\n94105\",\n",
      "  \"developerEmail\": \"android@fitbit.com\",\n",
      "  \"developerId\": \"Fitbit,+Inc.\",\n",
      "  \"developerInternalID\": \"7362502988246571055\",\n",
      "  \"developerWebsite\": \"http://help.fitbit.com/\",\n",
      "  \"free\": true,\n",
      "  \"genre\": \"Health & Fitness\",\n",
      "  \"genreId\": \"HEALTH_AND_FITNESS\",\n",
      "  \"headerImage\": \"https://lh3.googleusercontent.com/4Tdzuo_bi_lcgTXz6WRlkzMaUWSXQiACJiwt7VGNcOTsOf-r5MitMrVHFGdHNdQWRQ\",\n",
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      "    50028,\n",
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      "  ],\n",
      "  \"icon\": \"https://lh3.googleusercontent.com/QhMCymTyxJbzRiwMBA-GYooS-nVKm3fHg2CSRyKHvhmC-e5vOibfST73y1MmScvtPw\",\n",
      "  \"installs\": \"50,000,000+\",\n",
      "  \"minInstalls\": 50000000,\n",
      "  \"offersIAP\": true,\n",
      "  \"originalPrice\": null,\n",
      "  \"price\": 0,\n",
      "  \"privacyPolicy\": \"http://www.fitbit.com/privacy\",\n",
      "  \"ratings\": 683244,\n",
      "  \"recentChanges\": \"*Bug fixes and performance improvements\",\n",
      "  \"recentChangesHTML\": \"*Bug fixes and performance improvements\",\n",
      "  \"released\": \"Mar 16, 2012\",\n",
      "  \"reviews\": 312628,\n",
      "  \"sale\": false,\n",
      "  \"saleText\": null,\n",
      "  \"saleTime\": null,\n",
      "  \"score\": 3.8093805,\n",
      "  \"screenshots\": [\n",
      "    \"https://lh3.googleusercontent.com/n0OJCLgqxNGh1CkTRc884n979zGVuJ3c-jWH_KaNB_YxhwzKl3xqub5h-zxhTb-U4A\",\n",
      "    \"https://lh3.googleusercontent.com/d9RzKcQFGufQHZj1Fyrnu8CkaiOc_v8dQM8UIBX8M8TQR8C1k8AKm_AN8GAbLGo2KvQ\",\n",
      "    \"https://lh3.googleusercontent.com/mNw-1FqBtI8k4ingae_4CtP3oO_wc63zm8vvGx5fouM2a-i6XhjZc-ekLHOU-HkR0rM\",\n",
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      "    \"https://lh3.googleusercontent.com/hUfIinwCFyv9U67k3ljW2HgfP71qda4mY148cTJGjJtvnzsP9IuSr4bHF-0WFoDZGQ\",\n",
      "    \"https://lh3.googleusercontent.com/_HkJRbAxDE2LvXl7OLHlbb2RlNoLgyiBrgk5BtEu_emSfnuHGwoYEKzb9Y1lRcuj_Do\"\n",
      "  ],\n",
      "  \"size\": \"Varies with device\",\n",
      "  \"summary\": \"Fitbit is dedicated to helping people lead healthier, more active lives.\",\n",
      "  \"summaryHTML\": \"Fitbit is dedicated to helping people lead healthier, more active lives.\",\n",
      "  \"title\": \"Fitbit\",\n",
      "  \"updated\": 1596471804,\n",
      "  \"url\": \"https://play.google.com/store/apps/details?id=com.fitbit.FitbitMobile&hl=en&gl=us\",\n",
      "  \"version\": \"Varies with device\",\n",
      "  \"video\": null,\n",
      "  \"videoImage\": null\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print_json(app_infos[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:54:15.716471Z",
     "start_time": "2020-08-12T17:54:15.710390Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'com.fitbit.FitbitMobile'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app_packages[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### logos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:55:11.786366Z",
     "start_time": "2020-08-12T17:55:08.448677Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x360 with 5 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 164,
       "width": 795
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def format_title(title):\n",
    "    sep_index = title.find(':') if title.find(':') != -1 else title.find('-')\n",
    "    if sep_index != -1:\n",
    "        title = title[:sep_index]\n",
    "        return title[:15]\n",
    "fig, axs = plt.subplots(1,5,figsize=(14, 5))\n",
    "\n",
    "for i, ax in enumerate(axs.flat):\n",
    "    ai = app_infos[i]\n",
    "    img = plt.imread(ai['icon'])\n",
    "    ax.imshow(img)\n",
    "    ax.set_title(format_title(ai['title']))\n",
    "    ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obtaining app reviews:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:56:09.466811Z",
     "start_time": "2020-08-12T17:56:09.454283Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function reviews in module google_play_scraper.features.reviews:\n",
      "\n",
      "reviews(app_id, lang=None, country=None, sort=None, count=None, filter_score_with=None, continuation_token=None)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(reviews)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T17:56:12.810487Z",
     "start_time": "2020-08-12T17:56:12.199373Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'reviewId': 'gp:AOqpTOFHTAQU4MK4zFR3nKvcr2UcPfsXLjzUnkM3GEWMmebUgAUlJvTLi1onT58ly7C1-S3PJxTzttJ75p6zew',\n",
       "  'userName': 'Kylie',\n",
       "  'userImage': 'https://lh3.googleusercontent.com/a-/AOh14GiYk0T_EWDm4Q4cLPYnliFLe-8GqyO1FHARHbgZ_Vw',\n",
       "  'content': 'this app is really great other than the fact that so much of the content has to be paid for with a yearly subscription fee ($70). for example, you can only listen to the first day of (any) meditations for free; to listen to the rest of the days, you have to have that subscription i mentioned. there are zero free sleep stories. you can\\'t listen to your \"daily calm,\" unless you\\'re subscribed as said before. the main thing that\\'s free is music. please make more of the app accessible to more people.',\n",
       "  'score': 3,\n",
       "  'thumbsUpCount': 1020,\n",
       "  'reviewCreatedVersion': '4.29',\n",
       "  'at': datetime.datetime(2020, 7, 15, 5, 49, 42),\n",
       "  'replyContent': None,\n",
       "  'repliedAt': None},\n",
       " {'reviewId': 'gp:AOqpTOFGjU41kr589WJ-kx84Rbo26HEPQ5C1QRa2gDltojhNhFCfMRQhWhvWXdx4_nOYd6wBkjpZRBKmbP11JQ',\n",
       "  'userName': 'Dorottya Váradi',\n",
       "  'userImage': 'https://lh3.googleusercontent.com/a-/AOh14GhsOVaXE-VbS8DHUKb2RAoZ51RbXAIB-3AyZXV8gA',\n",
       "  'content': \"I really like this app, the music, the meditations the sleep stories are great. There's only one small thing that I really miss. Every time if I want to fall asleep for a music track, or a soundscape I have to set a timer to stop at some time. The problem is, that many times I forget about it, and I wake up middle of the night that the music is still going on. This app would be perfect if there would be an option for automatically setting a sleep timer.\",\n",
       "  'score': 4,\n",
       "  'thumbsUpCount': 218,\n",
       "  'reviewCreatedVersion': '4.28',\n",
       "  'at': datetime.datetime(2020, 7, 19, 0, 35, 51),\n",
       "  'replyContent': None,\n",
       "  'repliedAt': None},\n",
       " {'reviewId': 'gp:AOqpTOFhmUDR3qqdPEfc-DnpIGZV_ysSSdweWpdX7i0UE0JxP1iIuXE2xwXUXnpQpbB3HpVIjeN0NdGumhnhgg',\n",
       "  'userName': 'Aida F.',\n",
       "  'userImage': 'https://lh3.googleusercontent.com/a-/AOh14GhwnulGkA_K9O3-wkR6e_hE3b2OUG0-N6wMageoNA',\n",
       "  'content': \"I'm truly enjoying this CALM app!! I Love that it has the versatility of me using different features to help with my stress!! I especially LOVE the Nature sounds, relaxing music, the breathing exercises and the meditations!! And I appreciate the free features especially during these uncertain times of unemployment and the pandemic!!💖🤗🙏🏼🙏🏼\",\n",
       "  'score': 5,\n",
       "  'thumbsUpCount': 29,\n",
       "  'reviewCreatedVersion': '4.29',\n",
       "  'at': datetime.datetime(2020, 8, 1, 5, 43, 1),\n",
       "  'replyContent': None,\n",
       "  'repliedAt': None}]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#looking at top three most relevant reviews from calm and exploring the reviews function and learning...\n",
    "calm, continuation_token = reviews('com.calm.android', lang='en', country='us',sort=Sort.MOST_RELEVANT, count=3)\n",
    "calm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resources for api usage: \n",
    "https://github.com/JoMingyu/google-play-scraper\n",
    "\n",
    "better than this one: \n",
    "https://github.com/facundoolano/google-play-scraper#reviews\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-12T18:00:38.983669Z",
     "start_time": "2020-08-12T17:56:18.554542Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5/5 [04:20<00:00, 52.08s/it]\n"
     ]
    }
   ],
   "source": [
    "#iterating through each of the app packages to grab reviews on each grabbing \n",
    "#10K each based on relevance of review\n",
    "results = []\n",
    "for ap in tqdm(app_packages):\n",
    "    result, continuation_token = reviews(\n",
    "    ap,\n",
    "    lang='en', # defaults to 'en'\n",
    "    country='us', # defaults to 'us'\n",
    "    sort=Sort.MOST_RELEVANT, # defaults to Sort.MOST_RELEVANT SQL-like calls\n",
    "    count = 10000, # defaults to 100, returns number of records you want\n",
    "    filter_score_with=None) # defaults to None(means all score) might be \n",
    "                            # usefull to scrape some more low scores if needed\n",
    "    \n",
    "    for a in result:\n",
    "        a['application'] = ap #tracking which app we grabbed review of\n",
    "        \n",
    "    results.extend(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#making sure 10K of each app showed up:\n",
    "len(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating files to work from and .csv if needed\n",
    "app_reviews_df = pd.DataFrame(results)\n",
    "app_reviews_df.to_csv('app_reviews.csv', index=None, header=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Description\n",
    "\n",
    "|**Field**  | **Description**|\n",
    "|--|--|\n",
    "|ReviewId | a unique identifier for each review|\n",
    "|userName  | Name of user that reviewed the product|\n",
    "|userImage | User avatar\n",
    "|content | The text supporting the stars assigned at the review|\n",
    "|thumbsUpCount | count of how many other users appreciated the review (helps for relevance)|\n",
    "|reviewCreatedVersion | The version of the app being reviewed|\n",
    "|at | the review date\n",
    "|replyContent | Text/content if there is a reply to a review from the app administrators|\n",
    "|repliedAt | Timestamp for the replyContent field\n",
    "|application| the app being reviewed\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>reviewId</th>\n",
       "      <th>userName</th>\n",
       "      <th>userImage</th>\n",
       "      <th>content</th>\n",
       "      <th>score</th>\n",
       "      <th>thumbsUpCount</th>\n",
       "      <th>reviewCreatedVersion</th>\n",
       "      <th>at</th>\n",
       "      <th>replyContent</th>\n",
       "      <th>repliedAt</th>\n",
       "      <th>application</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>gp:AOqpTOEtH7HaDAyL040EXcXI6-NkTLq5pFhVhAmuJPB...</td>\n",
       "      <td>Brogan Houston</td>\n",
       "      <td>https://lh3.googleusercontent.com/-We6TPXjnrQ8...</td>\n",
       "      <td>I don't care about all the sleep stories, I ju...</td>\n",
       "      <td>1</td>\n",
       "      <td>835</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2020-07-11 09:06:57</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>gp:AOqpTOEy__Hsix8SgQW5-8djW2RqnS3Yfp9cTsJPk8G...</td>\n",
       "      <td>Aubrey Karim</td>\n",
       "      <td>https://lh3.googleusercontent.com/-_V1wVCSPVrw...</td>\n",
       "      <td>This app is great for sleep and for meditation...</td>\n",
       "      <td>4</td>\n",
       "      <td>338</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2020-07-07 16:40:53</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>gp:AOqpTOFuuTaHyzeTDn_OMc8aJdsIwGiQ2O7zB-f7I-u...</td>\n",
       "      <td>Glenneroo</td>\n",
       "      <td>https://lh3.googleusercontent.com/a-/AOh14GgIF...</td>\n",
       "      <td>Can't even try the app without creating a logi...</td>\n",
       "      <td>1</td>\n",
       "      <td>693</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2020-07-07 19:32:31</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>gp:AOqpTOEVrkdHF8x6kk7t7rESpoSzsk2yY3I5b19zS_P...</td>\n",
       "      <td>Nathan T.</td>\n",
       "      <td>https://lh3.googleusercontent.com/-_gIxpXuntNI...</td>\n",
       "      <td>Not sure why the low reviews. But this is a re...</td>\n",
       "      <td>5</td>\n",
       "      <td>304</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2020-07-07 21:05:20</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>gp:AOqpTOFHTAQU4MK4zFR3nKvcr2UcPfsXLjzUnkM3GEW...</td>\n",
       "      <td>Kylie O</td>\n",
       "      <td>https://lh3.googleusercontent.com/a-/AOh14Gjfn...</td>\n",
       "      <td>this app is really great other than the fact t...</td>\n",
       "      <td>3</td>\n",
       "      <td>523</td>\n",
       "      <td>4.29</td>\n",
       "      <td>2020-07-15 05:49:42</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            reviewId        userName  \\\n",
       "0  gp:AOqpTOEtH7HaDAyL040EXcXI6-NkTLq5pFhVhAmuJPB...  Brogan Houston   \n",
       "1  gp:AOqpTOEy__Hsix8SgQW5-8djW2RqnS3Yfp9cTsJPk8G...    Aubrey Karim   \n",
       "2  gp:AOqpTOFuuTaHyzeTDn_OMc8aJdsIwGiQ2O7zB-f7I-u...       Glenneroo   \n",
       "3  gp:AOqpTOEVrkdHF8x6kk7t7rESpoSzsk2yY3I5b19zS_P...       Nathan T.   \n",
       "4  gp:AOqpTOFHTAQU4MK4zFR3nKvcr2UcPfsXLjzUnkM3GEW...         Kylie O   \n",
       "\n",
       "                                           userImage  \\\n",
       "0  https://lh3.googleusercontent.com/-We6TPXjnrQ8...   \n",
       "1  https://lh3.googleusercontent.com/-_V1wVCSPVrw...   \n",
       "2  https://lh3.googleusercontent.com/a-/AOh14GgIF...   \n",
       "3  https://lh3.googleusercontent.com/-_gIxpXuntNI...   \n",
       "4  https://lh3.googleusercontent.com/a-/AOh14Gjfn...   \n",
       "\n",
       "                                             content  score  thumbsUpCount  \\\n",
       "0  I don't care about all the sleep stories, I ju...      1            835   \n",
       "1  This app is great for sleep and for meditation...      4            338   \n",
       "2  Can't even try the app without creating a logi...      1            693   \n",
       "3  Not sure why the low reviews. But this is a re...      5            304   \n",
       "4  this app is really great other than the fact t...      3            523   \n",
       "\n",
       "  reviewCreatedVersion                  at replyContent repliedAt  \\\n",
       "0                 4.29 2020-07-11 09:06:57         None       NaT   \n",
       "1                 4.29 2020-07-07 16:40:53         None       NaT   \n",
       "2                 4.29 2020-07-07 19:32:31         None       NaT   \n",
       "3                 4.29 2020-07-07 21:05:20         None       NaT   \n",
       "4                 4.29 2020-07-15 05:49:42         None       NaT   \n",
       "\n",
       "        application  \n",
       "0  com.calm.android  \n",
       "1  com.calm.android  \n",
       "2  com.calm.android  \n",
       "3  com.calm.android  \n",
       "4  com.calm.android  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app_reviews_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scrub / Clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 50000 entries, 0 to 49999\n",
      "Data columns (total 11 columns):\n",
      "reviewId                50000 non-null object\n",
      "userName                50000 non-null object\n",
      "userImage               50000 non-null object\n",
      "content                 50000 non-null object\n",
      "score                   50000 non-null int64\n",
      "thumbsUpCount           50000 non-null int64\n",
      "reviewCreatedVersion    45185 non-null object\n",
      "at                      50000 non-null datetime64[ns]\n",
      "replyContent            19188 non-null object\n",
      "repliedAt               19188 non-null datetime64[ns]\n",
      "application             50000 non-null object\n",
      "dtypes: datetime64[ns](2), int64(2), object(7)\n",
      "memory usage: 4.2+ MB\n"
     ]
    }
   ],
   "source": [
    "app_reviews_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Target value counts:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    20233\n",
       "1    14061\n",
       "4     6676\n",
       "3     4606\n",
       "2     4424\n",
       "Name: score, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "app_reviews_df['score'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**Observation:** The intentional choice to select the most relevant reviews has paid off, it's good to see a mix of postive and negative reviews and not as imbalanced as in cases past.  :-P  Next up: A look into missing data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing Data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import missingno as msno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17220898940>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 740,
       "width": 1437
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(app_reviews_df.sample(1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "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>reviewId</th>\n",
       "      <th>userName</th>\n",
       "      <th>userImage</th>\n",
       "      <th>content</th>\n",
       "      <th>score</th>\n",
       "      <th>thumbsUpCount</th>\n",
       "      <th>reviewCreatedVersion</th>\n",
       "      <th>at</th>\n",
       "      <th>replyContent</th>\n",
       "      <th>repliedAt</th>\n",
       "      <th>application</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>3387</td>\n",
       "      <td>gp:AOqpTOE8Eb6zN0PndR2BzsNiX8Eom3fZsVgwjpRZ9kd...</td>\n",
       "      <td>Brazil Uluwita</td>\n",
       "      <td>https://lh3.googleusercontent.com/a-/AOh14GiiV...</td>\n",
       "      <td>I downloaded this application and immediately ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>2020-07-09 08:59:47</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3389</td>\n",
       "      <td>gp:AOqpTOHEb71QUbBxe0QmLcjs_gmyx-AHpzDGWY9Rgdq...</td>\n",
       "      <td>Alex Fixler</td>\n",
       "      <td>https://lh3.googleusercontent.com/-UYuiwOsZ48Q...</td>\n",
       "      <td>The \"How to Meditate\" 30 day course is really ...</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>2020-07-28 21:45:49</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3412</td>\n",
       "      <td>gp:AOqpTOFiiAJsuJAwIPAnjmcsDZMPHCeUiPPVPZWUtYK...</td>\n",
       "      <td>clary !</td>\n",
       "      <td>https://lh3.googleusercontent.com/a-/AOh14GjY-...</td>\n",
       "      <td>it's really not that bad, it's just that, some...</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>2020-07-08 18:49:47</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3419</td>\n",
       "      <td>gp:AOqpTOGlFq9L0PJmg_CoQ_ND0F25hfPCHzGAP4jUVdS...</td>\n",
       "      <td>Momeari Katoka</td>\n",
       "      <td>https://lh3.googleusercontent.com/-NhSiF1KaL70...</td>\n",
       "      <td>Had a free trial for a month (used the app twi...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>2020-07-28 23:27:49</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3429</td>\n",
       "      <td>gp:AOqpTOGyZ_I-zJbSnWvZr7NvrCP0vRErh9htOUfiJRm...</td>\n",
       "      <td>ッGirls</td>\n",
       "      <td>https://lh3.googleusercontent.com/a-/AOh14GjHc...</td>\n",
       "      <td>This app is PERFECT. And yes, I'm a 9 year old...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>2020-07-02 21:17:50</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>com.calm.android</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               reviewId        userName  \\\n",
       "3387  gp:AOqpTOE8Eb6zN0PndR2BzsNiX8Eom3fZsVgwjpRZ9kd...  Brazil Uluwita   \n",
       "3389  gp:AOqpTOHEb71QUbBxe0QmLcjs_gmyx-AHpzDGWY9Rgdq...     Alex Fixler   \n",
       "3412  gp:AOqpTOFiiAJsuJAwIPAnjmcsDZMPHCeUiPPVPZWUtYK...         clary !   \n",
       "3419  gp:AOqpTOGlFq9L0PJmg_CoQ_ND0F25hfPCHzGAP4jUVdS...  Momeari Katoka   \n",
       "3429  gp:AOqpTOGyZ_I-zJbSnWvZr7NvrCP0vRErh9htOUfiJRm...          ッGirls   \n",
       "\n",
       "                                              userImage  \\\n",
       "3387  https://lh3.googleusercontent.com/a-/AOh14GiiV...   \n",
       "3389  https://lh3.googleusercontent.com/-UYuiwOsZ48Q...   \n",
       "3412  https://lh3.googleusercontent.com/a-/AOh14GjY-...   \n",
       "3419  https://lh3.googleusercontent.com/-NhSiF1KaL70...   \n",
       "3429  https://lh3.googleusercontent.com/a-/AOh14GjHc...   \n",
       "\n",
       "                                                content  score  thumbsUpCount  \\\n",
       "3387  I downloaded this application and immediately ...      1              0   \n",
       "3389  The \"How to Meditate\" 30 day course is really ...      3              1   \n",
       "3412  it's really not that bad, it's just that, some...      4              2   \n",
       "3419  Had a free trial for a month (used the app twi...      1              2   \n",
       "3429  This app is PERFECT. And yes, I'm a 9 year old...      4              0   \n",
       "\n",
       "     reviewCreatedVersion                  at replyContent repliedAt  \\\n",
       "3387                 None 2020-07-09 08:59:47         None       NaT   \n",
       "3389                 None 2020-07-28 21:45:49         None       NaT   \n",
       "3412                 None 2020-07-08 18:49:47         None       NaT   \n",
       "3419                 None 2020-07-28 23:27:49         None       NaT   \n",
       "3429                 None 2020-07-02 21:17:50         None       NaT   \n",
       "\n",
       "           application  \n",
       "3387  com.calm.android  \n",
       "3389  com.calm.android  \n",
       "3412  com.calm.android  \n",
       "3419  com.calm.android  \n",
       "3429  com.calm.android  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reviewCreatedVersion is almost 10% of the data... for now filling in with a '.' to keep the data numeric'\n",
    "#and previewing the data to look for obvious patterns \n",
    "missingvers = app_reviews_df.loc[app_reviews_df['reviewCreatedVersion'].isna()]\n",
    "missingvers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "app_reviews_df['reviewCreatedVersion'].fillna('.', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    0.61624\n",
       "True     0.38376\n",
       "Name: replied, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#creating a field to indicate whether or not someone replied to a review\n",
    "app_reviews_df['replied'] = app_reviews_df['replyContent'].notnull()\n",
    "app_reviews_df['replied'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "app_reviews_df['replyContent'].fillna('n/a', inplace=True)\n",
    "app_reviews_df['repliedAt'].fillna('_', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 50000 entries, 0 to 49999\n",
      "Data columns (total 12 columns):\n",
      "reviewId                50000 non-null object\n",
      "userName                50000 non-null object\n",
      "userImage               50000 non-null object\n",
      "content                 50000 non-null object\n",
      "score                   50000 non-null int64\n",
      "thumbsUpCount           50000 non-null int64\n",
      "reviewCreatedVersion    50000 non-null object\n",
      "at                      50000 non-null datetime64[ns]\n",
      "replyContent            50000 non-null object\n",
      "repliedAt               50000 non-null object\n",
      "application             50000 non-null object\n",
      "replied                 50000 non-null bool\n",
      "dtypes: bool(1), datetime64[ns](1), int64(2), object(8)\n",
      "memory usage: 4.2+ MB\n"
     ]
    }
   ],
   "source": [
    "app_reviews_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dropping columns: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    50000\n",
       "Name: reviewId, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#there are no reviewIds that are duplicated, see no value in this content\n",
    "#it's easier to index of of other numbers for slicing, so dropping this feature:\n",
    "app_reviews_df['reviewId'].duplicated().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "app_reviews_df.drop('reviewId', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "app_reviews_df['userImage'][8]\n",
    "#not focus of this project so dropping images\n",
    "app_reviews_df.drop('userImage', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 50000 entries, 0 to 49999\n",
      "Data columns (total 10 columns):\n",
      "userName                50000 non-null object\n",
      "content                 50000 non-null object\n",
      "score                   50000 non-null int64\n",
      "thumbsUpCount           50000 non-null int64\n",
      "reviewCreatedVersion    50000 non-null object\n",
      "at                      50000 non-null datetime64[ns]\n",
      "replyContent            50000 non-null object\n",
      "repliedAt               50000 non-null object\n",
      "application             50000 non-null object\n",
      "replied                 50000 non-null bool\n",
      "dtypes: bool(1), datetime64[ns](1), int64(2), object(6)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "app_reviews_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-01T18:45:40.127080Z",
     "start_time": "2020-08-01T18:45:39.984464Z"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'app_reviews_df' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-d4c62ab17e23>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mapp_reviews_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'app_reviews_clean'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'app_reviews_df' is not defined"
     ]
    }
   ],
   "source": [
    "app_reviews_df.to_csv('app_reviews_clean', index=None, header=True)"
   ]
  }
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